Genetic analyses of diverse populations improves discovery for complex traits.
- Authors
- Wojcik, Genevieve L; Graff, Mariaelisa; Nishimura, Katherine K; Tao, Ran; Haessler, Jeffrey; Gignoux, Christopher R; Highland, Heather M; Patel, Yesha M; Sorokin, Elena P; Avery, Christy L; Belbin, Gillian M; Bien, Stephanie A; Cheng, Iona; Cullina, Sinead; Hodonsky, Chani J; Hu, Yao; Huckins, Laura M; Jeff, Janina; Justice, Anne E; Kocarnik, Jonathan M; Lim, Unhee; Lin, Bridget M; Lu, Yingchang; Nelson, Sarah C; Park, Sung-Shim L; Poisner, Hannah; Preuss, Michael H; Richard, Melissa A; Schurmann, Claudia; Setiawan, Veronica W; Sockell, Alexandra; Vahi, Karan; Verbanck, Marie; Vishnu, Abhishek; Walker, Ryan W; Young, Kristin L; Zubair, Niha; Acuña-Alonso, Victor; Ambite, Jose Luis; Barnes, Kathleen C; Boerwinkle, Eric; Bottinger, Erwin P; Bustamante, Carlos D; Caberto, Christian; Canizales-Quinteros, Samuel; Conomos, Matthew P; Deelman, Ewa; Do, Ron; Doheny, Kimberly; Fernández-Rhodes, Lindsay; Fornage, Myriam; Hailu, Benyam; Heiss, Gerardo; Henn, Brenna M; Hindorff, Lucia A; Jackson, Rebecca D; Laurie, Cecelia A; Laurie, Cathy C; Li, Yuqing; Lin, Dan-Yu; Moreno-Estrada, Andres; Nadkarni, Girish; Norman, Paul J; Pooler, Loreall C; Reiner, Alexander P; Romm, Jane; Sabatti, Chiara; Sandoval, Karla; Sheng, Xin; Stahl, Eli A; Stram, Daniel O; Thornton, Timothy A; Wassel, Christina L; Wilkens, Lynne R; Winkler, Cheryl A; Yoneyama, Sachi; Buyske, Steven; Haiman, Christopher A; Kooperberg, Charles; Le Marchand, Loic; Loos, Ruth J F; Matise, Tara C; North, Kari E; Peters, Ulrike; Kenny, Eimear E; Carlson, Christopher S
- Year
- 2019
- Journal
- Nature
- PMID
- 31217584
- DOI
- 10.1038/s41586-019-1310-4
- PMCID
- PMC6785182
Genome-wide association studies (GWAS) have laid the foundation for investigations into the biology of complex traits, drug development and clinical guidelines. However, the majority of discovery efforts are based on data from populations of European ancestry. In light of the differential genetic architecture that is known to exist between populations, bias in representation can exacerbate existing disease and healthcare disparities. Critical variants may be missed if they have a low frequency or are completely absent in European populations, especially as the field shifts its attention towards rare variants, which are more likely to be population-specific. Additionally, effect sizes and their derived risk prediction scores derived in one population may not accurately extrapolate to other populations. Here we demonstrate the value of diverse, multi-ethnic participants in large-scale genomic studies. The Population Architecture using Genomics and Epidemiology (PAGE) study conducted a GWAS of 26 clinical and behavioural phenotypes in 49,839 non-European individuals. Using strategies tailored for analysis of multi-ethnic and admixed populations, we describe a framework for analysing diverse populations, identify 27 novel loci and 38 secondary signals at known loci, as well as replicate 1,444 GWAS catalogue associations across these traits. Our data show evidence of effect-size heterogeneity across ancestries for published GWAS associations, substantial benefits for fine-mapping using diverse cohorts and insights into clinical implications. In the United States-where minority populations have a disproportionately higher burden of chronic conditions-the lack of representation of diverse populations in genetic research will result in inequitable access to precision medicine for those with the highest burden of disease. We strongly advocate for continued, large genome-wide efforts in diverse populations to maximize genetic discovery and reduce health disparities.
Inclusion of multi-ethnic samples enables discovery and replication in GWAS.a, The population substructure present in the multi-ethnic sample of PAGE (n = 49,839) revealed complex patterns preventing meaningful stratification. Here we show that PC1 and PC2 show major patterns of variation, stratified by self-identified race/ethnicity. Individuals denoted by orange self-identified as ‘Other’. b, There are 8,979 previously reported trait–variant pairs, of which 1,444 replicated at a by-trait Bonferroni-adjusted significance level for P values estimated from a Wald test in SUGEN. In addition, we found 27 novel trait–variant pairs and 38 secondary signal pairs that remained after adjusting for known variants. BMI, body-mass index; eGFR, estimated glomerular filtration rate; HbA1c, glycated haemoglobin; HDL, high-density lipoprotein; LDL, low-density lipoprotein; MCHC, mean corpuscular haemoglobin concentration; WHR, waist-to-hip ratio.
Weaker effect sizes of previously published trait–variant associations in non-European populations exacerbates disparity in PVE.a, Standardized effect sizes for the two largest self-reported subsets of the PAGE population show markedly weaker effect sizes in African Americans (z′PAGE = 0.54 × z′prior (yellow); z′ is the z-score from the trait–variant association standardized by the sample size in PAGE or the ‘prior’ publication from the NHGRI-EBI GWAS Catalog) than in Hispanic/Latino participants (z′PAGE = 0.86 × z′prior; red) compared to originally reported effect sizes from the NHGRI-EBI GWAS Catalog. Grey shading indicates the 95% confidence interval around the slope estimate. b, After identifying the SNP with the smallest P value in each locus, the PVE of height was calculated using the estimated effect size from this set of tag SNPs (left, GIANT-only GWAS; middle, UKB50k+GIANT meta-analysis; right, PAGE + GIANT meta-analysis). PVE was estimated independently in the UKB50k (White British) and PAGE (multi-ethnic) samples. The gap in PVE with previously reported loci from GIANT (8.14%) is exacerbated with the inclusion of 50,000 more individuals of European descent, to 11.19%. However, it narrows markedly with the inclusion of 50,000 multiethnic samples, to 3.91%.
Fine-mapping with multi-ethnic PAGE versus homogeneous UK Biobank samples for height.a, Comparison of 95% credible sets for height, comparing GIANT alone (n = 253,288) to UKB50k + GIANT (n = 303,288; paired-sample t-test P = 0.37) and PAGE + GIANT (n = 303,069; paired-sample t-test P = 0.01). Box plots show the median as the line in the notch, with the top and bottom of the box indicating the interquartile range. Whiskers extend to either the minimum value or 1.5 × the interquartile range. Notches indicate the 95% confidence interval of the medians. b, Top posterior probability from each 95% credible set for height, comparing GIANT (n = 253,288) to UKB50k + GIANT (n = 303,288) and PAGE + GIANT (n = 303,069). c, Example of results for a height locus from GWAS (rs11880992) in UKB50k + GIANT (n = 303,288) and PAGE + GIANT (n = 303,069), with linkage disequilibrium from weighted matrix from meta-analysis. d, Posterior probabilities for this signal with credible set in indicated by the diamond shapes. e, Linkage disequilibrium (r2) for the original 95% credible set from GIANT results stratified by populations. The index association SNP (rs11880992) with the highest posterior probability is denoted in bold.
Number of unique participants in the GWAS Catalog from 2006 to 2017 (inclusive).We observed that—although the number of unique participants (in millions) in the GWAS Catalog has grown substantially over the past decade—the relative proportion of participants of non-European descent has remained constant, with the majority of progress within Asian populations.
Correlation between SNP genotype and PC1-PC10.a, The correlation (r2) for novel and residual loci calculated by obtaining the individual level data for all PAGE participants and correlating the SNP genotype with each of the ten PCs. The correlation between each locus and each of the ten PCs was plotted on the y axis, novel loci are plotted in grey and residual loci are plotted in yellow. We observed an especially high correlation between a novel locus and PC4, which represents Native Hawaiian/Pacific Islander ancestry. b, The individual level data for all PAGE participants were obtained and plotted in a parallel coordinates plot, such that each PAGE individual is represented by a set of line segments connecting their eigenvalues. This allows us to see which race/ethnicity groups are differentiated at each PC. For example, we see predominantly green lines as outliers for PC4, which indicates that this vector represents a continuum of Native Hawaiian/Pacific Islander ancestry.
No entities extracted from this document yet.
No uploaded files.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| BakerJL, ShrinerD, BentleyAR & RotimiCN Pharmacogenomic implications of the evolutionary history of infectious diseases in Africa. Pharmacogenomics J. 17, 112–120 (2017).2777924310.1038/tpj.2016.78PMC5380847 | — | — | — |
| BennerC FINEMAP: efficient variable selection using summary data from genome-wide association studies. Bioinformatics 32, 1493–1501 (2016).2677313110.1093/bioinformatics/btw018PMC4866522 | — | — | — |
| BienSA Strategies for enriching variant coverage in candidate disease loci on a multiethnic genotyping array. PLoS ONE 11, e0167758 (2016).10.1371/journal.pone.0167758PMC515638727973554 | — | — | — |
| BustamanteCD, BurchardEG & De La VegaFM Genomics for the world. Nature 475, 163–165 (2011).2175383010.1038/475163aPMC3708540 | — | — | — |
| CarlsonCS Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. PLoS Biol. 11, e1001661 (2013).10.1371/journal.pbio.1001661PMC377572224068893 | — | — | — |
| ChangCC Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience 4, 7 (2015).2572285210.1186/s13742-015-0047-8PMC4342193 | — | — | — |
| ColbySL & OrtmanJM Projections of the Size and Composition of the U.S Population: 2014 to 2060 (United States Census Bureau, 2015). | — | — | — |
| CollinsFS & VarmusH A new initiative on precision medicine. N. Engl. J. Med 372, 793–795 (2015).2563534710.1056/NEJMp1500523PMC5101938 | — | — | — |
| ConomosMP Genetic diversity and association studies in US Hispanic/ Latino populations: applications in the Hispanic community health study/study of Latinos. Am. J. Hum. Genet 98, 165–184 (2016).2674851810.1016/j.ajhg.2015.12.001PMC4716704 | — | — | — |
| ConomosMP, MillerMB & ThorntonTA Robust inference of population structure for ancestry prediction and correction of stratification in the presence of relatedness. Genet. Epidemiol 39, 276–293 (2015).2581007410.1002/gepi.21896PMC4836868 | — | — | — |
| ConomosMP, ReinerAP, WeirBS & ThorntonTA Model-free estimation of recent genetic relatedness. Am. J. Hum. Genet 98, 127–148 (2016).2674851610.1016/j.ajhg.2015.11.022PMC4716688 | — | — | — |
| DelaneauO, MarchiniJ & ZaguryJ-F A linear complexity phasing method for thousands of genomes. Nat. Methods 9, 179–181 (2012).10.1038/nmeth.178522138821 | — | — | — |
| FadistaJ, ManningAK, FlorezJC & GroopL The (in)famous GwAs P-value threshold revisited and updated for low-frequency variants. Eur. J. Hum. Genet 24, 1202–1205 (2016).2673328810.1038/ejhg.2015.269PMC4970684 | — | — | — |
| GravelS Demographic history and rare allele sharing among human populations. Proc. Natl Acad. Sci. USA 108, 11983–11988 (2011).2173012510.1073/pnas.1019276108PMC3142009 | — | — | — |
| GudmundssonJ A study based on whole-genome sequencing yields a rare variant at 8q24 associated with prostate cancer. Nat. Genet 44, 1326–1329 (2012).2310400510.1038/ng.2437PMC3562711 | — | — | — |
| HanY Prostate cancer susceptibility in men of African ancestry at 8q24. J. Natl Cancer Inst 108, djv431 (2016).10.1093/jnci/djv431PMC494856526823525 | — | — | — |
| HennBM Hunter-gatherer genomic diversity suggests a southern African origin for modern humans. Proc. Natl Acad. Sci. USA 108, 5154–5162 (2011).2138319510.1073/pnas.1017511108PMC3069156 | — | — | — |
| HowieBN, DonnellyP & MarchiniJ A flexible and accurate genotype Imputation method for the next generation of genome-wide association studies. PLoS Genet. 5, e1000529 (2009).10.1371/journal.pgen.1000529PMC268993619543373 | — | — | — |
| KennyEE Melanesian blond hair is caused by an amino acid change in TYRP1. Science 336, 554 (2012).2255624410.1126/science.1217849PMC3481182 | — | — | — |
| KheraAV Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat. Genet 50, 1219–1224 (2018).3010476210.1038/s41588-018-0183-zPMC6128408 | — | — | — |
| LacyME Association of sickle cell trait with hemoglobin A1c in African americans. J. Am. Med. Assoc 317, 507–515 (2017).10.1001/jama.2016.21035PMC571388128170479 | — | — | — |
| LeeJJ Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat. Genet 50, 1112–1121 (2018).3003839610.1038/s41588-018-0147-3PMC6393768 | — | — | — |
| LiaoY Surveillance of health status in minority communities — racial and ethnic approaches to community health across the U.S. (REACH U.S.) risk factor survey, United States, 2009. MMWR Surveill.Summ 60, 1–44 (2011).21597458 | — | — | — |
| LinC-N Effects of hemoglobin C, D, E, and S traits on measurements of HbA1c by six methods. Clin. Chim. Acta 413, 819–821 (2012).2224493110.1016/j.cca.2011.12.019PMC5068911 | — | — | — |
| LinD-Y Genetic association analysis under complex survey sampling: the Hispanic Community Health Study/Study of Latinos. Am. J. Hum. Genet 95, 675–688 (2014).2548003410.1016/j.ajhg.2014.11.005PMC4259979 | — | — | — |
| LinDY & ZengD On the relative efficiency of using summary statistics versus individual-level data in meta-analysis. Biometrika 97, 321–332 (2010).2304912210.1093/biomet/asq006PMC3412575 | — | — | — |
| LockeAE Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197–206 (2015).2567341310.1038/nature14177PMC4382211 | — | — | — |
| MacArthurJ The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog). Nucleic Acids Res. 45, D896–D901 (2017).2789967010.1093/nar/gkw1133PMC5210590 | — | — | — |
| ManningA A low-frequency inactivating AKT2 variant enriched in the Finnish population is associated with fasting insulin levels and type 2 diabetes risk. Diabetes 66, 2019–2032 (2017).2834169610.2337/db16-1329PMC5482074 | — | — | — |
| MartinAR Human demographic history impacts genetic risk prediction across diverse populations. Am. J. Hum. Genet 100, 635–649 (2017).2836644210.1016/j.ajhg.2017.03.004PMC5384097 | — | — | — |
| MoltkeI A common Greenlandic TBC1D4 variant confers muscle insulin resistance and type 2 diabetes. Nature 512, 190–193 (2014).2504302210.1038/nature13425 | — | — | — |
| MongiaSK Effects of hemoglobin C and S traits on the results of 14 commercial glycated hemoglobin assays. Am. J. Clin. Pathol 130, 136–140 (2008).1855048310.1309/1YU0D34VJKNUCGT1 | — | — | — |
| NeedAC & GoldsteinDB Next generation disparities in human genomics: concerns and remedies. Trends Genet. 25, 489–494 (2009).1983685310.1016/j.tig.2009.09.012 | — | — | — |
| PopejoyAB & FullertonSM Genomics is failing on diversity. Nature 538, 161–164 (2016).2773487710.1038/538161aPMC5089703 | — | — | — |
| RobertsWL Effects of hemoglobin C and S traits on glycohemoglobin measurements by eleven methods. Clin. Chem 51, 776–778 (2005).1569532510.1373/clinchem.2004.047142 | — | — | — |
| RosenbergNA Clines, clusters, and the effect of study design on the inference of human population structure. PLoS Genet. 1, e70 (2005).1635525210.1371/journal.pgen.0010070PMC1310579 | — | — | — |
| ShimH A multivariate genome-wide association analysis of 10 LDL subfractions, and their response to statin treatment, in 1868 Caucasians. PLoS ONE 10, e0120758 (2015).10.1371/journal.pone.0120758PMC440526925898129 | — | — | — |
| The 1000 Genomes Project Consortium. A global reference for human genetic variation. Nature 526, 68–74 (2015).2643224510.1038/nature15393PMC4750478 | — | — | — |
| The SIGMA Type 2 Diabetes Consortium. Association of a low-frequency variant in HNF1A with type 2 diabetes in a Latino population. J. Am. Med. Assoc 311, 2305–2314 (2014).10.1001/jama.2014.6511PMC442585024915262 | — | — | — |
| United Nations Population Fund. State of World Population 2016. http://www.unfpa.org/swop (2016). | — | — | — |
| WillerCJ, LiY & AbecasisGR METAL: fast and efficient metaanalysis of genomewide association scans. Bioinformatics 26, 2190–2191 (2010).2061638210.1093/bioinformatics/btq340PMC2922887 | — | — | — |
| WojcikGL Imputation-aware tag SNP selection to improve power for large-scale, multi-ethnic association studies. G3 (Bethesda) 8, 3255–3267 (2018).3013132810.1534/g3.118.200502PMC6169386 | — | — | — |
| WoodAR Defining the role of common variation in the genomic and biological architecture of adult human height. Nat. Genet 46, 1173–1186 (2014).2528210310.1038/ng.3097PMC4250049 | — | — | — |
| ZhengX A high-performance computing toolset for relatedness and principal component analysis of SNP data. Bioinformatics 28, 3326–3328 (2012).2306061510.1093/bioinformatics/bts606PMC3519454 | — | — | — |
In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2026. | American Diabetes Association Professional Practice Committee for Diabetes* | — | 2026 | → |
| ADIPOQ Genotypes, Adiponectin Isoforms, and Hypertension Risk in Pediatric Obesity. | Almeida HY et al. | — | 2026 | → |
| Advancing precision health discovery in a genetically diverse health system. | Haas R et al. | — | 2026 | → |
| Ancestral diversity in complex disease genetics: from discovery to translation. | Kuchenbaecker K et al. | — | 2026 | → |
| Autoencoders for genomic variation analysis. | Geleta M et al. | — | 2026 | → |
| Black EquaLity in OCD NeuroGenomics (BELONG): Study Protocol. | Williams IJ et al. | — | 2026 | → |
| Blood Pressure Polygenic Score Predicts Long-Term Blood Pressure Control and Treatment-Resistant Hypertension. | Cho SMJ et al. | — | 2026 | → |
| Characterizing breed-shared and breed-specific genetic regulatory effects of gene expression across three pig breeds. | Li X et al. | — | 2026 | → |
| Clinical genetic variation across Hispanic populations in the Mexican Biobank. | Barberena-Jonas C et al. | — | 2026 | → |
| Closing the Gap in Autism Genetics: Population-Specific Variants and the Imperative for Global Inclusion. | Yang K et al. | — | 2026 | → |
| Cystic fibrosis risk variants confer protection against inflammatory bowel disease. | Yu M et al. | — | 2026 | → |
| Exome sequencing identifies potential variants linked to cardiovascular disease in Caldas, Colombia: insights from the ORIGEN COLOMBIAN genome project. | Nieto-Cárdenas OA et al. | — | 2026 | → |
| Gene-environment interplay explaining individual variation in BMI outcomes: a systematic review and meta-analysis of studies using polygenic indices. | de Roo M et al. | — | 2026 | → |
| Genetic associations with placental and pregnancy proteins in maternal serum identify biomarkers for hypertension in pregnancy. | Yan Q et al. | — | 2026 | → |
| Genome-wide association study identifies novel and confirms established loci associated with serum lipids levels in Brazilians. | Penna LS et al. | — | 2026 | → |
| Genomic Insights Into Inflammatory Bowel Disease in United States Hispanic Participants: An Ancestry-Focused Study. | Beecham AH et al. | — | 2026 | → |
| Global glucagon-like peptide-2 receptor activation linked to increased obesity risk in the UK Biobank. | Gerlach PA et al. | — | 2026 | → |
| Healthcare professionals' experiences returning monogenic, polygenic, and integrated risk results in the eMERGE study. | Suckiel SA et al. | — | 2026 | → |
| Impact of Genetic Predisposition to Obesity on Long-Term Maintenance of Modest Weight Loss in Postmenopausal Women. | Lee HH et al. | — | 2026 | → |
| Large-Scale Genotype-Based Trait Imputation With Multi-Ancestry GWAS Data. | Ren J et al. | — | 2026 | → |
| Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits. | Zhu J et al. | — | 2026 | → |
| Mendelian Randomization Study of Age-Related Macular Degeneration and Inflammatory Bowel Disease. | Hua Z et al. | — | 2026 | → |
| Pathway-Informed Machine Learning Identifies Genetic Predictors of High-Dose Methotrexate-Induced Mucositis in Pediatric Acute Lymphoblastic Leukemia. | Zhang XYC et al. | — | 2026 | → |
| SNP-based prediction of schizophrenia using machine learning. | Ramazanova Z et al. | — | 2026 | → |
| Ten years of exome sequencing and reanalysis among racial, ethnic, and ancestral groups: The importance of equitable reanalysis access. | Giles A et al. | — | 2026 | → |
| The impact of Indigenous American-like ancestry on the risk of acute lymphoblastic leukemia in Hispanic/Latino children. | Langie J et al. | — | 2026 | → |
| Trans-ancestry genome-wide analyses of bipolar disorder in East Asian and European populations improve genetic discovery. | Zhang CY et al. | — | 2026 | → |
| Why Are Some Children More Sick Than Others? Lessons From Genome-wide Association Studies of Respiratory Viral Infections. | Vartiainen P et al. | — | 2026 | → |
| 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2025. | American Diabetes Association Professional Practice Committee | — | 2025 | → |
| A combined genomic arrhythmia propensity score delineates cumulative risk. | Monroe TO et al. | — | 2025 | → |
| A data model for population descriptors in genomic research. | Khan AT et al. | — | 2025 | → |
| Admixed and single-continental genome segments of the same ancestry have distinct linkage disequilibrium patterns. | Lee H et al. | — | 2025 | → |
| Admixture's impact on Brazilian population evolution and health. | Nunes K et al. | — | 2025 | → |
| Advancements in genetic research by the Hispanic Community Health Study/Study of Latinos: A 10-year retrospective review. | Rao H et al. | — | 2025 | → |
| African-ancestry-specific variant IKKβ p.Glu502Lys confers high lupus risk. | Thorlacius GE et al. | — | 2025 | → |
| African Genetic Ancestry, Structural and Social Determinants of Health, and Mortality in Black Adults. | Iyer HS et al. | — | 2025 | → |
| A genealogy-based approach for revealing ancestry-specific structures in admixed populations. | Tang J et al. | — | 2025 | → |
| Alterations in DNA Methylation, Proteomic, and Metabolomic Profiles in African Ancestry Populations with APOL1 Risk Alleles. | Zhang X et al. | — | 2025 | → |
| A novel genome-wide association study method for detecting quantitative trait loci interacting with complex population structures in plant genetics. | Hamazaki K et al. | — | 2025 | → |
| Arginase deficiency in Mexico: Insights from the experience of a metabolic reference center. | Vela-Amieva M et al. | — | 2025 | → |
| Artificial intelligence-driven metabolomics of retinal nerve fibre layer to profile risks of mortality and cardiometabolic diseases. | Yang S et al. | — | 2025 | → |
| A scalable variational inference approach for increased mixed-model association power. | Loya H et al. | — | 2025 | → |
| Assessing Causality Between Endocrine, Nutritional, and Metabolic Disease and Pulmonary Tuberculosis: A Mendelian Randomization Study. | Gao Y et al. | — | 2025 | → |
| Association of coffee consumption and caffeine metabolism with arrhythmias and cardiac morphology: An observational, genetic, and Mendelian randomization study. | Zheng J et al. | — | 2025 | → |
| Biobank Diversity and the Perils of Race Essentialism. | Pendyal A | — | 2025 | → |
| Breaking research silos to achieve equitable precision medicine in rheumatology. | Ainsworth HC et al. | — | 2025 | → |
| Characterizing selection on complex traits through conditional frequency spectra. | Patel RA et al. | — | 2025 | → |
| Characterizing substructure via mixture modeling in large-scale genetic summary statistics. | Stoneman HR et al. | — | 2025 | → |
| ChiTaRS 8.0: the comprehensive database of chimeric transcripts and RNA-seq data with applications in liquid biopsy. | DSouza D et al. | — | 2025 | → |
| Chromatin interaction maps of human arterioles reveal mechanisms for the genetic regulation of blood pressure. | Liu Y et al. | — | 2025 | → |
| Comparison of methods for building polygenic scores for diverse populations. | Gunn S et al. | — | 2025 | → |
| Comprehensive Profiling of Genetic and Nongenetic Factors that Influence Skin Traits in Asian Women from 4 Countries. | Moon H et al. | — | 2025 | → |
| Computational whole-body-exposome models for global precision brain health. | Ibáñez A et al. | — | 2025 | → |
| Cross-ancestry and sex-stratified genome-wide association analyses of amygdala and subnucleus volumes. | Ji Y et al. | — | 2025 | → |
| Cumulative psychosocial factors and epigenetic age acceleration in the Hispanic Community Health Study/Study of Latinos. | Abrishamcar S et al. | — | 2025 | → |
| Decoding disease-specific ageing mechanisms through pathway-level epigenetic clock: insights from multi-cohort validation. | Li P et al. | — | 2025 | → |
| Diabetes mellitus polygenic risk scores: heterogeneity and clinical translation. | Ortega HI et al. | — | 2025 | → |
| Diet as a source of the non-direct genetic effects in metabolic traits: evidence from a family-based GWAS study. | Xiao H et al. | — | 2025 | → |
| Diversifying Psychiatric Genomics: Globally Inclusive Strategies Toward Health Equity. | Giusti-Rodríguez P et al. | — | 2025 | → |
| Dynamic clustering of genomics cohorts beyond race, ethnicity-and ancestry. | Mohsen H et al. | — | 2025 | → |
| Early menarche and childbirth accelerate aging-related outcomes and age-related diseases: Evidence for antagonistic pleiotropy in humans. | Xiang Y et al. | — | 2025 | → |
| ESR1 Variants and Subcontinental Genomic Ancestry: Insights from the 1000 Genomes Project and Native American Populations. | Scudeler MM et al. | — | 2025 | → |
| Eugenics is on the rise again: human geneticists must take a stand. | Wojcik GL | — | 2025 | → |
| Exploring the genetic landscape of the brain-heart axis: A comprehensive analysis of pleiotropic effects between heart disease and psychiatric disorders. | Song Q et al. | — | 2025 | → |
| Factors Associated With Minority Patient Enrollment in a Gastric Cancer Biobank. | Pettigrew MF et al. | — | 2025 | → |
| Fine-mapping in admixed populations using CARMA-X, with applications to Latin American studies. | Yang Z et al. | — | 2025 | → |
| From individuals to ancestries: Towards attributing trait variation to haplotypes. | Yang Y et al. | — | 2025 | → |
| Gene clusters linked to insulin resistance identified in a genome-wide study of the Taiwan Biobank population. | Lin E et al. | — | 2025 | → |
| Gene-Diet Interactions in Diabetes Mellitus: Current Insights and the Potential of Personalized Nutrition. | Kapellou A et al. | — | 2025 | → |
| Genetic analyses of eight complex diseases using predicted continuous representations of disease. | Chen R et al. | — | 2025 | → |
| Genetic analysis of two bladder exstrophy populations of South Asian and North American origin. | Weaver JK et al. | — | 2025 | → |
| Genetic ancestry influences body shape and obesity risk in Latin American populations. | Trujillo-Jiménez MA et al. | — | 2025 | → |
| Genetic ancestry influences gene-environment interactions with sociocultural factors: Results from the Hispanic Community Health Study/Study of Latinos. | Sharma J et al. | — | 2025 | → |
| Genetic architecture of bone marrow fat fraction implies its involvement in osteoporosis risk. | Wu Z et al. | — | 2025 | → |
| Genetic insights into cardiac conduction disorders from genome-wide association studies. | Li B et al. | — | 2025 | → |
| Genetic patterns related to von Willebrand factor: implications on the need for mechanical ventilation, severity, and death in COVID-19. | López Castro J et al. | — | 2025 | → |
| Genetic regulation of the plasma proteome and its link to cardiometabolic disease in Greenlandic Inuit. | Stinson SE et al. | — | 2025 | → |
| Genetic risk predicts adolescent mood pathology via sexual differentiation of brain function and physiological aging. | Petrican R et al. | — | 2025 | → |
| Genetic underpinnings of the heterogeneous impact of obesity on lipid levels and cardiovascular disease. | Kim D et al. | — | 2025 | → |
| Genome-wide association study of urinary cadmium levels in current smokers from the multiethnic cohort study. | Sullivan SM et al. | — | 2025 | → |
| Genome-wide epistasis analysis reveals significant epistatic signals associated with Parkinson's disease risk. | Cisterna-Garcia A et al. | — | 2025 | → |
| Genomic landscape of cancer in racially and ethnically diverse populations. | Thomas CE et al. | — | 2025 | → |
| Genomic regions associated with alpha-fetoproteins identified through a population-scale study in the Taiwan biobank. | Lin E et al. | — | 2025 | → |
| GWAShug: a comprehensive platform for decoding the shared genetic basis between complex traits based on summary statistics. | Cao C et al. | — | 2025 | → |
| GWAS meta-analysis using a graph-based pan-genome enhanced gene mining efficiency for agronomic traits in rice. | Yang L et al. | — | 2025 | → |
| Identification of a new genetic locus associated with atrial fibrillation in the Taiwanese population by genome-wide and transcriptome-wide association studies. | Lee GW et al. | — | 2025 | → |
| Implications of <i>CD36</i> Gene Variants in Oxidative Stress Markers Between Mexican Patients with Type 2 Diabetes and ST-Segment Elevation Myocardial Infarction. | Parra-Reyna B et al. | — | 2025 | → |
| Incorporating local ancestry information to predict genetically associated DNA methylation in admixed populations. | Cheng Y et al. | — | 2025 | → |
| Interpreting SNP heritability in admixed populations. | Huang J et al. | — | 2025 | → |
| Investigating Overlapping Genetic Factors and Novel Causal Genes in Autoimmune Diseases: A Transcriptome-Wide Association and Multiomics Study. | Fu L et al. | — | 2025 | → |
| JointPRS: A data-adaptive framework for multi-population genetic risk prediction incorporating genetic correlation. | Xu L et al. | — | 2025 | → |
| Kidney multiome-based genetic scorecard reveals convergent coding and regulatory variants. | Liu H et al. | — | 2025 | → |
| Large-scale multi-omics analyses in Hispanic/Latino populations identify genes for cardiometabolic traits. | Petty LE et al. | — | 2025 | → |
| Leveraging local ancestry and cross-ancestry genetic architecture to improve genetic prediction of complex traits in admixed populations. | Zhou G et al. | — | 2025 | → |
| MAFLD: Exploring the Systemic Effects Beyond Liver. | Dayal U et al. | — | 2025 | → |
| Marginalized measures: The harmonization of diversity in precision medicine research. | Jeske M et al. | — | 2025 | → |
| Maternal parity modifies the association of birthweight polygenic score with fetal growth. | Wijesiriwardhana P et al. | — | 2025 | → |
| Mendelian randomization analysis on the impacts of age at menarche on adult height: A Taiwanese population study. | Lukusa MT et al. | — | 2025 | → |
| Molecular mechanisms of thiazide-like diuretics-mediated inhibition of the human Na-Cl cotransporter. | Lee CL et al. | — | 2025 | → |
| Moroccan genome project: genomic insight into a North African population. | El Fahime E et al. | — | 2025 | → |
| Multi-ancestry genome-wide association analyses: a comparison of meta- and mega-analyses in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study. | Kuang A et al. | — | 2025 | → |
| Multi-Ancestry Transcriptome-Wide Association Studies of Cognitive Function, White Matter Hyperintensity, and Alzheimer's Disease. | Chaar DL et al. | — | 2025 | → |
| Multiomic Mendelian Randomization Study Investigating the Impact of PCSK9 and HMGCR Inhibition on Type 2 Diabetes Across Five Populations. | Rosoff DB et al. | — | 2025 | → |
| Old vs. new local ancestry inference in HCHS/SOL: a comparative study. | Chen X et al. | — | 2025 | → |
| Optimization of multi-ancestry polygenic risk score disease prediction models. | Lerga-Jaso J et al. | — | 2025 | → |
| Phase-free local ancestry inference mitigates the impact of switch errors on phase-based methods. | Avadhanam S et al. | — | 2025 | → |
| Polygenic prediction of major depressive disorder and related traits in African ancestries UK Biobank participants. | Kanjira SC et al. | — | 2025 | → |
| Polygenic risk score for type 2 diabetes shows context-dependent effects across populations. | Guo B et al. | — | 2025 | → |
| Polygenic Scores of Cardiometabolic Risk Factors in American Indian Adults. | Sun Q et al. | — | 2025 | → |
| Population genomics advances in frontier ethnic minorities in China. | Chen H et al. | — | 2025 | → |
| Preoperative serum inflammatory markers in the prognostic assessment of hepatocellular carcinoma resection in stages I/II. | Liu F et al. | — | 2025 | → |
| Recommendations for responsible use of population descriptors in polygenic risk score development. | Smith JL et al. | — | 2025 | → |
| Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions. | Jia G et al. | — | 2025 | → |
| scAI-SNP: a method for inferring ancestry from single-cell data. | Hong SC et al. | — | 2025 | → |
| SPAmix: a scalable, accurate, and universal analysis framework for large-scale genetic association studies in admixed populations. | Ma Y et al. | — | 2025 | → |
| Statistical construction of calibrated prediction intervals for polygenic score-based phenotype prediction. | Xu C et al. | — | 2025 | → |
| Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers. | Blechter B et al. | — | 2025 | → |
| Taiwan invests in genetic resource for health. | Wojcik GL | — | 2025 | → |
| The causal relationship between chronic obstructive pulmonary disease and Barrett's esophagitis: A two-sample Mendelian randomization study. | Yi N et al. | — | 2025 | → |
| The Consortium for Genomic Diversity, Ancestry, and Health in Colombia (CÓDIGO): building local capacity in genomics and bioinformatics. | Mariño-Ramírez L et al. | — | 2025 | → |
| The distribution of highly deleterious variants across human ancestry groups. | Stolyarova A et al. | — | 2025 | → |
| The Impact of Ancestry on Genome-Wide Association Studies. | Jones SC et al. | — | 2025 | → |
| The impact of beverage consumption on chronic renal failure risk and the mediation of serum metabolites: based on Mendelian randomization study. | Wei Z et al. | — | 2025 | → |
| The integration of genome-wide and transcriptome-wide association studies in neurodegenerative diseases: opportunities, challenges, and current methodological innovations. | Gu SC et al. | — | 2025 | → |
| Thyroid function and hepatic fibrosis/cirrhosis: a two-sample Mendelian randomization study. | Wang Y et al. | — | 2025 | → |
| Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease. | Chen R et al. | — | 2025 | → |
| Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies. | Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. Electronic address: andrew.mcintosh@ed.ac.uk et al. | — | 2025 | → |
| Underrepresented populations in genomic research: a qualitative study of researchers' perspectives. | Omeranovic A et al. | — | 2025 | → |
| Unraveling the Complex Genomic Interplay of Sickle Cell Disease Among the Saudi Population: A Case-Control GWAS Analysis. | Alghubayshi A et al. | — | 2025 | → |
| Update on the genetics of allergic diseases. | Lawson LP et al. | — | 2025 | → |
| Variants in the β-globin locus are associated with pneumonia in African American children. | Halligan NLN et al. | — | 2025 | → |
| Variant-to-function approaches for adipose tissue: Insights into cardiometabolic disorders. | Metz S et al. | — | 2025 | → |
| Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele. | Zhang X et al. | — | 2025 | → |
| 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2024. | American Diabetes Association Professional Practice Committee | — | 2024 | → |
| A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations. | Fu S et al. | — | 2024 | → |
| A comprehensive multi-task deep learning approach for predicting metabolic syndrome with genetic, nutritional, and clinical data. | Lee M et al. | — | 2024 | → |
| Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations. | Hou K et al. | — | 2024 | → |
| Advancing Prostate Cancer Care: Treatment Approaches to Precision Medicine, Biomarker Innovations, and Equitable Access. | Fenton SE et al. | — | 2024 | → |
| A genetic association study of circulating coagulation factor VIII and von Willebrand factor levels. | de Vries PS et al. | — | 2024 | → |
| A genome-wide association study of neonatal metabolites. | He Q et al. | — | 2024 | → |
| AGTR1 variant rs2638355 is associated with increased salt sensitivity of blood pressure: a female-specific effect in individuals from the HyperPath cohort. | Tchio C et al. | — | 2024 | → |
| A meta-analysis and polygenic score study identifies novel genetic markers for waist-hip ratio in African populations. | Zhong M et al. | — | 2024 | → |
| A missense SNP in the tumor suppressor SETD2 reduces H3K36me3 and mitotic spindle integrity in Drosophila. | Brockett JS et al. | — | 2024 | → |
| Amplification of <i>MYC</i> and Its Enhancer Correlates With Genetic Ancestry in Lung Squamous Cell Carcinoma. | Jain S et al. | — | 2024 | → |
| A multi-ancestry cerebral cortex transcriptome-wide association study identifies genes associated with smoking behaviors. | Tan Q et al. | — | 2024 | → |
| An ensemble penalized regression method for multi-ancestry polygenic risk prediction. | Zhang J et al. | — | 2024 | → |
| A Pregnancy and Childhood Epigenetics Consortium (PACE) meta-analysis highlights potential relationships between birth order and neonatal blood DNA methylation. | Li S et al. | — | 2024 | → |
| Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review. | Cai Y et al. | — | 2024 | → |
| Association between body mass index and electrocardiogram indices: A Mendelian randomization study. | Yang J et al. | — | 2024 | → |
| Associations between daytime napping, sleep duration, and depression and 15 cardiovascular diseases: a Mendelian randomization study. | Li Y et al. | — | 2024 | → |
| Bayesian approach to assessing population differences in genetic risk of disease with application to prostate cancer. | Timmins IR et al. | — | 2024 | → |
| Bayesian LASSO for population stratification correction in rare haplotype association studies. | Liu Z et al. | — | 2024 | → |
| Beyond the Human Genome Project: The Age of Complete Human Genome Sequences and Pangenome References. | Taylor DJ et al. | — | 2024 | → |
| Blood cell traits and venous thromboembolism in East Asians: Observational and genetic evidence. | Li H et al. | — | 2024 | → |
| Blood Lipid Polygenic Risk Score Development and Application for Atherosclerosis Ultrasound Parameters. | Zaicenoka M et al. | — | 2024 | → |
| Building a vertically integrated genomic learning health system: The biobank at the Colorado Center for Personalized Medicine. | Wiley LK et al. | — | 2024 | → |
| Causal relationship between type 2 diabetes mellitus and aortic dissection: insights from two-sample Mendelian randomization and mediation analysis. | Zhang W et al. | — | 2024 | → |
| Characterizing the pathogenicity of genetic variants: the consequences of context. | Ciesielski TH et al. | — | 2024 | → |
| Cluster classification of a Brazilian gastric cancer cohort reveals remarkable populational differences in normal p53 rate. | Queiroz FR et al. | — | 2024 | → |
| Commonly used genomic arrays may lose information due to imperfect coverage of discovered variants for autism spectrum disorder. | Yao M et al. | — | 2024 | → |
| Complex trait susceptibilities and population diversity in a sample of 4,145 Russians. | Usoltsev D et al. | — | 2024 | → |
| Computational Exploration of Single-Nucleotide Polymorphisms in the Human hRAS Gene: Implications and Insights. | Dakshitha S et al. | — | 2024 | → |
| Defining and pursuing diversity in human genetic studies. | Raven-Adams MC et al. | — | 2024 | → |
| Dried fruit intake can lower the risk of ulcerative colitis: evidence from a Mendelian randomization study. | Bu Z et al. | — | 2024 | → |
| Evaluating and improving health equity and fairness of polygenic scores. | Zhang T et al. | — | 2024 | → |
| Evaluation of Polygenic Risk Score for Prediction of Childhood Onset and Severity of Asthma. | Savelieva O et al. | — | 2024 | → |
| Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease. | Petrazzini BO et al. | — | 2024 | → |
| Exploring the Genetic Roles of Diet and Other Modifiable Risk Factors in the Risk of Angina: A Causal Investigation Using Mendelian Randomization in UK Biobank and FinnGen Cohorts. | Al Ageeli E | — | 2024 | → |
| Forensic height estimation using polygenic score in Korean population. | Cho HW et al. | — | 2024 | → |
| Gene-based association study of rare variants in children of diverse ancestries implicates TNFRSF21 in the development of allergic asthma. | Clay S et al. | — | 2024 | → |
| Genetic ancestry in Puerto Rican afro-descendants illustrates diverse histories of African diasporic populations. | Nieves-Colón MA et al. | — | 2024 | → |
| Genetic and molecular architecture of complex traits. | Lappalainen T et al. | — | 2024 | → |
| Genetic architecture of routinely acquired blood tests in a British South Asian cohort. | Jacobs BM et al. | — | 2024 | → |
| Genetic architectures of the human hippocampus and those involved in neuropsychiatric traits. | Ning C et al. | — | 2024 | → |
| Genetic Associations of Anhedonia: Insights into Overlap of Mental and Somatic Disorders. | Kasyanov E et al. | — | 2024 | → |
| Genetic associations with disease in populations with Indigenous American ancestries. | Vicuña L | — | 2024 | → |
| Genetic control of DNA methylation is largely shared across European and East Asian populations. | Hatton AA et al. | — | 2024 | → |
| Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. | Suzuki K et al. | — | 2024 | → |
| Genetic polymorphisms associated with adverse pregnancy outcomes in nulliparas. | Khan RR et al. | — | 2024 | → |
| Genetics of child aggression, a systematic review. | Koyama E et al. | — | 2024 | → |
| Genetic Variant Analyses Identify Novel Candidate Autism Risk Genes from a Highly Consanguineous Cohort of 104 Families from Oman. | Gupta V et al. | — | 2024 | → |
| Genome Sequencing Identifies 13 Novel Candidate Risk Genes for Autism Spectrum Disorder in a Qatari Cohort. | Ben-Mahmoud A et al. | — | 2024 | → |
| Genome-wide association studies of coffee intake in UK/US participants of European ancestry uncover cohort-specific genetic associations. | Thorpe HHA et al. | — | 2024 | → |
| Genome-wide association study based on clustering by obesity-related variables uncovers a genetic architecture of obesity in the Japanese and the UK populations. | Takahashi I et al. | — | 2024 | → |
| Genome-wide association study implicates lipid pathway dysfunction in antipsychotic-induced weight gain: multi-ancestry validation. | Liao Y et al. | — | 2024 | → |
| Genome-wide discovery for biomarkers using quantile regression at biobank scale. | Wang C et al. | — | 2024 | → |
| Genomic data in the All of Us Research Program. | All of Us Research Program Genomics Investigators | — | 2024 | → |
| Heart Failure Risk Among African-American Women With an ICAM1 Missense Variant. | Dalal PJ et al. | — | 2024 | → |
| Heterogeneity-aware integrative regression for ancestry-specific association studies. | Molstad AJ et al. | — | 2024 | → |
| Identification of novel therapeutic targets for chronic kidney disease and kidney function by integrating multi-omics proteome with transcriptome. | Si S et al. | — | 2024 | → |
| Implementing a pharmacogenomic-driven algorithm to guide antiplatelet therapy among Caribbean Hispanics: a non-randomised clinical trial. | Nuñez-Medina HJ et al. | — | 2024 | → |
| Implementing community-engaged pharmacogenomics in Indigenous communities. | Claw KG et al. | — | 2024 | → |
| Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI. | Sun Q et al. | — | 2024 | → |
| Imputation accuracy across global human populations. | Cahoon JL et al. | — | 2024 | → |
| Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries. | Zheng Z et al. | — | 2024 | → |
| Lifestyle Factors Counteract the Neurodevelopmental Impact of Genetic Risk for Accelerated Brain Aging in Adolescence. | Petrican R et al. | — | 2024 | → |
| Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations. | Bonet D et al. | — | 2024 | → |
| MagicalRsq-X: A cross-cohort transferable genotype imputation quality metric. | Sun Q et al. | — | 2024 | → |
| Mendelian randomization with incomplete measurements on the exposure in the Hispanic Community Health Study/Study of Latinos. | Li Y et al. | — | 2024 | → |
| MESuSiE enables scalable and powerful multi-ancestry fine-mapping of causal variants in genome-wide association studies. | Gao B et al. | — | 2024 | → |
| Metabolomic profiling identifies novel metabolites associated with cardiac dysfunction. | Culler KL et al. | — | 2024 | → |
| Mitochondrial related variants associated with cardiovascular traits. | Cañadas-Garre M et al. | — | 2024 | → |
| Multi-ancestry genetic analysis of gene regulation in coronary arteries prioritizes disease risk loci. | Hodonsky CJ et al. | — | 2024 | → |
| Multiome-wide Association Studies: Novel Approaches for Understanding Diseases. | Shao M et al. | — | 2024 | → |
| Multi-trait GWAS for diverse ancestries: mapping the knowledge gap. | Troubat L et al. | — | 2024 | → |
| Multivariable Mendelian randomization with incomplete measurements on the exposure variables in the Hispanic Community Health Study/Study of Latinos. | Li Y et al. | — | 2024 | → |
| MUSSEL: Enhanced Bayesian polygenic risk prediction leveraging information across multiple ancestry groups. | Jin J et al. | — | 2024 | → |
| Mutational signature analyses in multi-child families reveal sources of age-related increases in human germline mutations. | Shojaeisaadi H et al. | — | 2024 | → |
| Native Hawaiian and Pacific Islander populations in genomic research. | Ha EK et al. | — | 2024 | → |
| Novel risk loci for COVID-19 hospitalization among admixed American populations. | Diz-de Almeida S et al. | — | 2024 | → |
| Polygenic prediction for underrepresented populations through transfer learning by utilizing genetic similarity shared with European populations. | Zhu Y et al. | — | 2024 | → |
| Polygenic risk score portability for common diseases across genetically diverse populations. | Moreno-Grau S et al. | — | 2024 | → |
| PopGenAdapt: Semi-Supervised Domain Adaptation for Genotype-to-Phenotype Prediction in Underrepresented Populations. | Comajoan Cara M et al. | — | 2024 | → |
| Principles and methods for transferring polygenic risk scores across global populations. | Kachuri L et al. | — | 2024 | → |
| Rare coding variant analysis for human diseases across biobanks and ancestries. | Jurgens SJ et al. | — | 2024 | → |
| Recent Advances in Genomic Studies of Gestational Duration and Preterm Birth. | Srivastava AK et al. | — | 2024 | → |
| Recombination map tailored to Native Hawaiians may improve robustness of genomic scans for positive selection. | Dinh BL et al. | — | 2024 | → |
| Relation Between Obesity and Type 2 Diabetes: Evolutionary Insights, Perspectives and Controversies. | Gupta MK et al. | — | 2024 | → |
| Sources of gene expression variation in a globally diverse human cohort. | Taylor DJ et al. | — | 2024 | → |
| Star allele search: a pharmacogenetic annotation database and user-friendly search tool of publicly available 1000 Genomes Project biospecimens. | Gharani N et al. | — | 2024 | → |
| The adverse effect of mood swings on the risk of cardiovascular diseases: Evidence from Mendelian randomization analysis. | Dai Y et al. | — | 2024 | → |
| The AfrAbia<sup>+plus</sup> Parkinson's Disease Genomic Consortium. | Mohamed W et al. | — | 2024 | → |
| The combined effect of lifestyle factors and polygenic scores on age at onset in Parkinson's disease. | Gabbert C et al. | — | 2024 | → |
| The complex web of obesity: from genetics to precision medicine. | M JN et al. | — | 2024 | → |
| The contribution of genetics and epigenetics to MAFLD susceptibility. | Moretti V et al. | — | 2024 | → |
| The Evolution and Role of Molecular Tools in Measuring Diversity and Genomic Selection in Livestock Populations (Traditional and Up-to-Date Insights): A Comprehensive Exploration. | Husien HM et al. | — | 2024 | → |
| The frequency of the ACE I/D polymorphism in South America: a systematic review and meta-analysis. | Trevisano RG et al. | — | 2024 | → |
| The genetics of fruit skin separation in date palm. | Younuskunju S et al. | — | 2024 | → |
| The Genetic Variants Influencing Hypertension Prevalence Based on the Risk of Insulin Resistance as Assessed Using the Metabolic Score for Insulin Resistance (METS-IR). | Shine BK et al. | — | 2024 | → |
| The Inclusion of Underrepresented Populations in Cardiovascular Genetics and Epidemiology. | Chappell E et al. | — | 2024 | → |
| The interaction of genetics and physical activity in the pathogenesis of metabolic dysfunction associated liver disease. | Frostdahl H et al. | — | 2024 | → |
| The interplay between cytokines and stroke: a bi-directional Mendelian randomization study. | Jiang Y et al. | — | 2024 | → |
| The Mutographs biorepository: A unique genomic resource to study cancer around the world. | Perdomo S et al. | — | 2024 | → |
| The PRIMED Consortium: Reducing disparities in polygenic risk assessment. | Kullo IJ et al. | — | 2024 | → |
| Tissue-specific enhancer-gene maps from multimodal single-cell data identify causal disease alleles. | Sakaue S et al. | — | 2024 | → |
| Transforming Clinical Research: The Power of High-Throughput Omics Integration. | Vitorino R | — | 2024 | → |
| TwinsMX: Exploring the Genetic and Environmental Influences on Health Traits in the Mexican Population. | García-Vilchis B et al. | — | 2024 | → |
| Untangling the genetics of beta cell dysfunction and death in type 1 diabetes. | Robertson CC et al. | — | 2024 | → |
| Unveiling ancestral threads: Exploring CCR5 ∆32 mutation frequencies in Colombian populations for HIV/AIDS therapeutics. | Barrios-Navas A et al. | — | 2024 | → |
| Variability of polygenic prediction for body mass index in Africa. | Chikowore T et al. | — | 2024 | → |
| Variation in the basal immune state and implications for disease. | Souquette A et al. | — | 2024 | → |
| What Next for Eating Disorder Genetics? Replacing Myths With Facts to Sharpen Our Understanding. | Huckins LM et al. | — | 2024 | → |
| Whole genome sequencing based analysis of inflammation biomarkers in the Trans-Omics for Precision Medicine (TOPMed) consortium. | Jiang MZ et al. | — | 2024 | → |
| Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective. | Gao Y et al. | — | 2023 | → |
| Admixture mapping of peripheral artery disease in a Dominican population reveals a putative risk locus on 2q35. | Cullina S et al. | — | 2023 | → |
| Adolescent neurodevelopment and psychopathology: The interplay between adversity exposure and genetic risk for accelerated brain ageing. | Petrican R et al. | — | 2023 | → |
| Advancing Understanding of Inequities in Rare Disease Genomics. | Serrano JG et al. | — | 2023 | → |
| A genetic and linguistic analysis of the admixture histories of the islands of Cabo Verde. | Laurent R et al. | — | 2023 | → |
| Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry. | Mueller SH et al. | — | 2023 | → |
| AllelePred: A Simple Allele Frequencies Ensemble Predictor for Different Single Nucleotide Variants. | Sobahy TM et al. | — | 2023 | → |
| A meta-analysis of genome-wide association studies of childhood wheezing phenotypes identifies <i>ANXA1</i> as a susceptibility locus for persistent wheezing. | Granell R et al. | — | 2023 | → |
| Analytical Approaches to Uncover Genetic Associations for Rare Outcomes: Lessons from West Nile Neuroinvasive Disease. | Cahill ME et al. | — | 2023 | → |
| An empirical Bayes approach to improving population-specific genetic association estimation by leveraging cross-population data. | Hsu L et al. | — | 2023 | → |
| A new method for multiancestry polygenic prediction improves performance across diverse populations. | Zhang H et al. | — | 2023 | → |
| Apolipoprotein E (APOE) Haplotypes in Healthy Subjects from Worldwide Macroareas: A Population Genetics Perspective for Cardiovascular Disease, Neurodegeneration, and Dementia. | Abondio P et al. | — | 2023 | → |
| A review of ancestrality and admixture in Latin America and the caribbean focusing on native American and African descendant populations. | De Oliveira TC et al. | — | 2023 | → |
| Assessment of multi-population polygenic risk scores for lipid traits in African Americans. | Drouet DE et al. | — | 2023 | → |
| A transcriptomic and proteomic atlas of obesity and type 2 diabetes in cynomolgus monkeys. | Zhang X et al. | — | 2023 | → |
| Breast cancer pharmacogenetics: a systematic review. | Scudeler MM et al. | — | 2023 | → |
| Bridging the diversity gap: Analytical and study design considerations for improving the accuracy of trans-ancestry genetic prediction. | Bocher O et al. | — | 2023 | → |
| Building causal knowledge in behavior genetics without racial/ethnic diversity will result in weak causal knowledge. | Syed M | — | 2023 | → |
| Cardiac Repolarization in Health and Disease. | Krijger Juárez C et al. | — | 2023 | → |
| Cardiovascular Disease and Mortality in Black Women Carrying the Amyloidogenic V122I Transthyretin Gene Variant. | Haring B et al. | — | 2023 | → |
| Causal associations between liver traits and Colorectal cancer: a Mendelian randomization study. | Ni Y et al. | — | 2023 | → |
| Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals. | Hou K et al. | — | 2023 | → |
| Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants. | Wang A et al. | — | 2023 | → |
| Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass. | Khurshid S et al. | — | 2023 | → |
| Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations. | Thomas M et al. | — | 2023 | → |
| Comparison of Risk Allele Frequencies of Psoriasis-Associated Single-Nucleotide Polymorphisms in Different Population Groups. | Lee D et al. | — | 2023 | → |
| CRISPR in Public Health: The Health Equity Implications and Role of Community in Gene-Editing Research and Applications. | Subica AM | — | 2023 | → |
| Cross-ancestry genome-wide association meta-analyses of hippocampal and subfield volumes. | Liu N et al. | — | 2023 | → |
| Current advances in primate genomics: novel approaches for understanding evolution and disease. | Juan D et al. | — | 2023 | → |
| Current State and Future of Polygenic Risk Scores in Cardiometabolic Disease: A Scoping Review. | Phulka JS et al. | — | 2023 | → |
| Drinking Habits and Physical Activity Interact and Attenuate Obesity Predisposition of <i>TMEM18</i> Polymorphisms Carriers. | Chermon D et al. | — | 2023 | → |
| Estimating heritability explained by local ancestry and evaluating stratification bias in admixture mapping from summary statistics. | Chan TF et al. | — | 2023 | → |
| Ethnicity- and sex-specific genome wide association study on Parkinson's disease. | Park KW et al. | — | 2023 | → |
| Evidence of causality of low body mass index on risk of adolescent idiopathic scoliosis: a Mendelian randomization study. | Otomo N et al. | — | 2023 | → |
| Examining the shared etiology of psychopathology with genome-wide association studies. | Mallard TT et al. | — | 2023 | → |
| Gene expression in African Americans, Puerto Ricans and Mexican Americans reveals ancestry-specific patterns of genetic architecture. | Kachuri L et al. | — | 2023 | → |
| Genetic Determinants of the Interventricular Septum Are Linked to Ventricular Septal Defects and Hypertrophic Cardiomyopathy. | Yu M et al. | — | 2023 | → |
| Genetic effects on the timing of parturition and links to fetal birth weight. | Solé-Navais P et al. | — | 2023 | → |
| Genetic impact of blood C-reactive protein levels on chronic spinal & widespread pain. | Farrell SF et al. | — | 2023 | → |
| Genetic risk prediction in Hispanics/Latinos: milestones, challenges, and social-ethical considerations. | Maldonado BL et al. | — | 2023 | → |
| Genetics and Epigenetics in Obesity: What Do We Know so Far? | Keller M et al. | — | 2023 | → |
| Genetics and epigenetics in the obesity phenotyping scenario. | Trang K et al. | — | 2023 | → |
| Genetics of Alzheimer's Disease in the African American Population. | Logue MW et al. | — | 2023 | → |
| Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss. | Mera-Charria A et al. | — | 2023 | → |
| Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration. | Austin-Zimmerman I et al. | — | 2023 | → |
| Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study. | Singh S et al. | — | 2023 | → |
| Genome-wide association study of abdominal MRI-measured visceral fat: The multiethnic cohort adiposity phenotype study. | Streicher SA et al. | — | 2023 | → |
| Genome-Wide Association Study of CKD Progression. | Robinson-Cohen C et al. | — | 2023 | → |
| Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response. | Carreras-Torres R et al. | — | 2023 | → |
| Genotype Data and Derived Genetic Instruments of Adolescent Brain Cognitive Development Study<sup>®</sup> for Better Understanding of Human Brain Development. | Fan CC et al. | — | 2023 | → |
| Genotyping, sequencing and analysis of 140,000 adults from Mexico City. | Ziyatdinov A et al. | — | 2023 | → |
| Germline mechanisms of immunotherapy toxicities in the era of genome-wide association studies. | Gusev A | — | 2023 | → |
| Germline Testing Around the Globe: Challenges in Different Practice Settings. | Al-Sukhun S et al. | — | 2023 | → |
| Getting It Right: How Public Engagement Might (and Might Not) Help Us Determine What Is Equitable in Genomics and Precision Medicine. | Hull SC et al. | — | 2023 | → |
| Harnessing Genomic Analysis to Explore the Role of Telomeres in the Pathogenesis and Progression of Diabetic Kidney Disease. | Hill C et al. | — | 2023 | → |
| Health inequity in genomic personalized medicine in underrepresented populations: a look at the current evidence. | Tawfik SM et al. | — | 2023 | → |
| Heritability Estimation of Cognitive Phenotypes in the ABCD Study<sup>®</sup> Using Mixed Models. | Smith DM et al. | — | 2023 | → |
| Human height: a model common complex trait. | Conery M et al. | — | 2023 | → |
| Impact of cross-ancestry genetic architecture on GWASs in admixed populations. | Mester R et al. | — | 2023 | → |
| Impact of Genetic Variations on Thromboembolic Risk in Saudis with Sickle Cell Disease. | Alshabeeb MA et al. | — | 2023 | → |
| Importance of Diversity in Precision Medicine: Generalizability of Genetic Associations Across Ancestry Groups Toward Better Identification of Disease Susceptibility Variants. | Cruz LA et al. | — | 2023 | → |
| Including multiracial individuals is crucial for race, ethnicity and ancestry frameworks in genetics and genomics. | Martschenko DO et al. | — | 2023 | → |
| Influence of alcohol consumption and alcohol metabolism variants on breast cancer risk among Black women: results from the AMBER consortium. | Young KL et al. | — | 2023 | → |
| Integration of genetic fine-mapping and multi-omics data reveals candidate effector genes for hypertension. | van Duijvenboden S et al. | — | 2023 | → |
| Interplay between hereditary and acquired factors determines the neutrophil counts in older individuals. | Gagnon MF et al. | — | 2023 | → |
| <i>Octopus vulgaris</i> Exhibits Interindividual Differences in Behavioural and Problem-Solving Performance. | Dissegna A et al. | — | 2023 | → |
| Kidney function and cardiovascular diseases: a large-scale observational and Mendelian randomization study. | Hu C et al. | — | 2023 | → |
| Limitations of principal components in quantitative genetic association models for human studies. | Yao Y et al. | — | 2023 | → |
| Lipid-Associated GWAS Loci Predict Antiatherogenic Effects of Rosuvastatin in Patients with Coronary Artery Disease. | Kononov S et al. | — | 2023 | → |
| Low and differential polygenic score generalizability among African populations due largely to genetic diversity. | Majara L et al. | — | 2023 | → |
| Maternal pre-pregnancy BMI, offspring epigenome-wide DNA methylation, and childhood obesity: findings from the Boston Birth Cohort. | Si J et al. | — | 2023 | → |
| MATS: a novel multi-ancestry transcriptome-wide association study to account for heterogeneity in the effects of cis-regulated gene expression on complex traits. | Knutson KA et al. | — | 2023 | → |
| Mendelian randomization explores the causal relationships between obesity, diabetes, inflammation and nonalcoholic fatty liver disease. | Wang X et al. | — | 2023 | → |
| Metabolic Syndrome: An Overview on Its Genetic Associations and Gene-Diet Interactions. | Prone-Olazabal D et al. | — | 2023 | → |
| Methods and Insights from Single-Cell Expression Quantitative Trait Loci. | Kang JB et al. | — | 2023 | → |
| Mexican Biobank advances population and medical genomics of diverse ancestries. | Sohail M et al. | — | 2023 | → |
| Microvascular and macrovascular complications of type 2 diabetes mellitus: Exome wide association analyses. | Mansour A et al. | — | 2023 | → |
| Multiple anthropometric measures and proarrhythmic 12-lead ECG indices: A mendelian randomization study. | Ardissino M et al. | — | 2023 | → |
| Multi-population genome-wide association study implicates immune and non-immune factors in pediatric steroid-sensitive nephrotic syndrome. | Barry A et al. | — | 2023 | → |
| Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations. | Araujo DS et al. | — | 2023 | → |
| New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. | Andreassen OA et al. | — | 2023 | → |
| New Insights into Polygenic Score-Lifestyle Interactions for Cardiometabolic Risk Factors from Genome-Wide Interaction Analyses. | D'Urso S et al. | — | 2023 | → |
| Overlapping brain correlates of superior cognition among children at genetic risk for Alzheimer's disease and/or major depressive disorder. | Petrican R et al. | — | 2023 | → |
| Parkinson's genetics research on underrepresented AfrAbia populations: current state and future prospects. | Mohamed W | — | 2023 | → |
| Perceived benefits and barriers to implementing precision preventive care: Results of a national physician survey. | Vassy JL et al. | — | 2023 | → |
| Pleiotropic influence of DNA methylation QTLs on physiological and ageing traits. | Mozhui K et al. | — | 2023 | → |
| Polygenic Scores in the Direct-to-Consumer Setting: Challenges and Opportunities for a New Era in Consumer Genetic Testing. | Park JK et al. | — | 2023 | → |
| Polygenic scoring accuracy varies across the genetic ancestry continuum. | Ding Y et al. | — | 2023 | → |
| Population stratification correction using Bayesian shrinkage priors for genetic association studies. | Liu Z et al. | — | 2023 | → |
| Potential drug targets for myocardial infarction identified through Mendelian randomization analysis and Genetic colocalization. | Wu J et al. | — | 2023 | → |
| Precision medicine of obesity as an integral part of type 2 diabetes management - past, present, and future. | Szczerbinski L et al. | — | 2023 | → |
| Proteome and genome integration analysis of obesity. | Zhao Q et al. | — | 2023 | → |
| Proteome-wide Mendelian randomization reveals the causal effects of immune-related plasma proteins on psychiatric disorders. | Dang X et al. | — | 2023 | → |
| Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics. | Miao J et al. | — | 2023 | → |
| Rare diseases, common barriers: disparities in pediatric clinical genetics outcomes. | Wojcik MH et al. | — | 2023 | → |
| Recent positive selection signatures reveal phenotypic evolution in the Han Chinese population. | Luo H et al. | — | 2023 | → |
| Reply to: "Genetic factors in the clinical predictive model for hepatocellular carcinoma: Evidence from genetic association analyses". | Nahon P et al. | — | 2023 | → |
| Research Silos in Cancer Disparities: Obstacles to Improving Clinical Outcomes for Underserved Patient Populations. | Richardson A et al. | — | 2023 | → |
| Returning integrated genomic risk and clinical recommendations: The eMERGE study. | Linder JE et al. | — | 2023 | → |
| Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK Biobank. | Bi W et al. | — | 2023 | → |
| SDPRX: A statistical method for cross-population prediction of complex traits. | Zhou G et al. | — | 2023 | → |
| Similarity and diversity of genetic architecture for complex traits between East Asian and European populations. | Zhang J et al. | — | 2023 | → |
| Sleep traits and risk of end-stage renal disease: a mendelian randomization study. | Li K et al. | — | 2023 | → |
| Sox, Fox, and Lmx1b binding sites differentially regulate a Gdf5-Associated regulatory region during elbow development. | Yeboah RL et al. | — | 2023 | → |
| Strategies for the Genomic Analysis of Admixed Populations. | Tan T et al. | — | 2023 | → |
| Strong protective effect of the APOL1 p.N264K variant against G2-associated focal segmental glomerulosclerosis and kidney disease. | Gupta Y et al. | — | 2023 | → |
| Targeted Metabolomics Analysis of Individuals Carrying the ANGPTL8 R59W Variant. | Abu-Farha M et al. | — | 2023 | → |
| The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds. | Prado P et al. | — | 2023 | → |
| The design of mapping populations: Impacts of geographic scale on genetic architecture and mapping efficacy for defense and immunity. | Gloss AD et al. | — | 2023 | → |
| The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort. | Knapp EA et al. | — | 2023 | → |
| The genomic history of the indigenous people of the Canary Islands. | Serrano JG et al. | — | 2023 | → |
| The Intersection between Pharmacogenomics and Health Equity: A Case Example. | Paetznick C et al. | — | 2023 | → |
| The (in)visible Brazilians: A perspective review on the need for brain health and dementia research with Brazilian immigrants in the United States. | Simon SS et al. | — | 2023 | → |
| The melatonin receptor 1B gene links circadian rhythms and type 2 diabetes mellitus: an evolutionary story. | Zhu H et al. | — | 2023 | → |
| The power of TOPMed imputation for the discovery of Latino-enriched rare variants associated with type 2 diabetes. | Huerta-Chagoya A et al. | — | 2023 | → |
| Translating non-coding genetic associations into a better understanding of immune-mediated disease. | Stankey CT et al. | — | 2023 | → |
| Using epigenomics to understand cellular responses to environmental influences in diseases. | Wattacheril JJ et al. | — | 2023 | → |
| Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort. | Su YR et al. | — | 2023 | → |
| AFA: Ancestry-specific allele frequency estimation in admixed populations: The Hispanic Community Health Study/Study of Latinos. | Granot-Hershkovitz E et al. | — | 2022 | → |
| A Final Frontier in Environment-Genome Interactions? Integrated, Multi-Omic Approaches to Predictions of Non-Communicable Disease Risk. | Noble AJ et al. | — | 2022 | → |
| African-specific alleles modify risk for asthma at the 17q12-q21 locus in African Americans. | Washington C et al. | — | 2022 | → |
| A genome-wide association study of mammographic texture variation. | Liu Y et al. | — | 2022 | → |
| A large genome-wide association study of QT interval length utilizing electronic health records. | Hoffmann TJ et al. | — | 2022 | → |
| Allele imputation for the killer cell immunoglobulin-like receptor KIR3DL1/S1. | Harrison GF et al. | — | 2022 | → |
| A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids. | Ramdas S et al. | — | 2022 | → |
| A multi-population phenome-wide association study of genetically-predicted height in the Million Veteran Program. | Raghavan S et al. | — | 2022 | → |
| Analyses of biomarker traits in diverse UK biobank participants identify associations missed by European-centric analysis strategies. | Sun Q et al. | — | 2022 | → |
| Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits-The Hispanic/Latino Anthropometry Consortium. | Fernández-Rhodes L et al. | — | 2022 | → |
| Ancestry-inclusive dog genomics challenges popular breed stereotypes. | Morrill K et al. | — | 2022 | → |
| A neurodegenerative disease landscape of rare mutations in Colombia due to founder effects. | Acosta-Uribe J et al. | — | 2022 | → |
| Appraisal of Gene-Environment Interactions in GWAS for Evidence-Based Precision Nutrition Implementation. | San-Cristobal R et al. | — | 2022 | → |
| A Prism Vote method for individualized risk prediction of traits in genotype data of Multi-population. | Xia X et al. | — | 2022 | → |
| A scalable Bayesian functional GWAS method accounting for multivariate quantitative functional annotations with applications for studying Alzheimer disease. | Chen J et al. | — | 2022 | → |
| Association of <i>ADIPOQ</i> Single-Nucleotide Polymorphisms with the Two Clinical Phenotypes Type 2 Diabetes Mellitus and Metabolic Syndrome in a Kinh Vietnamese Population. | Truong S et al. | — | 2022 | → |
| Association of Predicted Expression and Multimodel Association Analysis of Substance Abuse Traits. | Bost DM et al. | — | 2022 | → |
| A Systematic Review of Polygenic Models for Predicting Drug Outcomes. | Siemens A et al. | — | 2022 | → |
| Causal Association of Thyroid Signaling with C-Reactive Protein: A Bidirectional Mendelian Randomization. | Li T et al. | — | 2022 | → |
| Community health workers and precision medicine: A randomized controlled trial. | Rodriguez GM et al. | — | 2022 | → |
| Comprehensive Statistical and Bioinformatics Analysis in the Deciphering of Putative Mechanisms by Which Lipid-Associated GWAS Loci Contribute to Coronary Artery Disease. | Lazarenko V et al. | — | 2022 | → |
| Computational estimates of annular diameter reveal genetic determinants of mitral valve function and disease. | Yu M et al. | — | 2022 | → |
| Contribution of -1031T/C and -376G/A tumor necrosis factor alpha polymorphisms and haplotypes to preeclampsia risk in Tunisia (North Africa). | Raguema N et al. | — | 2022 | → |
| Contributions of the Women's Health Initiative to Cardiovascular Research: JACC State-of-the-Art Review. | LaMonte MJ et al. | — | 2022 | → |
| Decoding the Human Face: Progress and Challenges in Understanding the Genetics of Craniofacial Morphology. | Naqvi S et al. | — | 2022 | → |
| Detecting associated genes for complex traits shared across East Asian and European populations under the framework of composite null hypothesis testing. | Qiao J et al. | — | 2022 | → |
| Developing CIRdb as a catalog of natural genetic variation in the Canary Islanders. | Díaz-de Usera A et al. | — | 2022 | → |
| Diversity in cancer genomics research is a matter of equity and scientific discovery. | Pal T | — | 2022 | → |
| DNA methylation as a potential mediator of the association between prenatal tobacco and alcohol exposure and child neurodevelopment in a South African birth cohort. | Abrishamcar S et al. | — | 2022 | → |
| Effect of Race and Ethnicity on Risk of Radiotherapy Toxicity and Implications for Radiogenomics. | Abdelkarem OAI et al. | — | 2022 | → |
| Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries. | Smith SP et al. | — | 2022 | → |
| Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease. | Liu H et al. | — | 2022 | → |
| Estimating the causal effect of frailty index on vestibular disorders: A two-sample Mendelian randomization. | Xiao G et al. | — | 2022 | → |
| Estimating the Effect of Liver and Pancreas Volume and Fat Content on Risk of Diabetes: A Mendelian Randomization Study. | Martin S et al. | — | 2022 | → |
| Ethical, legal and social/societal implications (ELSI) of recall-by-genotype (RbG) and genotype-driven-research (GDR) approaches: a scoping review. | Tschigg K et al. | — | 2022 | → |
| Evaluating the power and limitations of genome-wide association studies in Caenorhabditis elegans. | Widmayer SJ et al. | — | 2022 | → |
| Evidence That Substantia Nigra Pars Compacta Dopaminergic Neurons Are Selectively Vulnerable to Oxidative Stress Because They Are Highly Metabolically Active. | Ni A et al. | — | 2022 | → |
| Exploring cancer care needs for Latinx adults: a qualitative evaluation. | Rodriguez GM et al. | — | 2022 | → |
| Fine-Scale Genetic Structure in the United Arab Emirates Reflects Endogamous and Consanguineous Culture, Population History, and Geography. | Elliott KS et al. | — | 2022 | → |
| Fungal Strains with Identical Genomes Were Found at a Distance of 2000 Kilometers after 40 Years. | Zhu Q et al. | — | 2022 | → |
| GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing. | Mathur R et al. | — | 2022 | → |
| Gene-based association tests using GWAS summary statistics and incorporating eQTL. | Cao X et al. | — | 2022 | → |
| Genetic Evidence Supporting the Causal Role of Homocysteine in Chronic Kidney Disease: A Mendelian Randomization Study. | Xiong Y et al. | — | 2022 | → |
| Genetic interactions drive heterogeneity in causal variant effect sizes for gene expression and complex traits. | Patel RA et al. | — | 2022 | → |
| Genetics in psychiatry: Methods, clinical applications and future perspectives. | Fabbri C | — | 2022 | → |
| Genetics of Asthma and Allergic Diseases. | Haider S et al. | — | 2022 | → |
| Genome-Wide Admixture Mapping of Estimated Glomerular Filtration Rate and Chronic Kidney Disease Identifies European and African Ancestry-of-Origin Loci in Hispanic and Latino Individuals in the United States. | Horimoto ARVR et al. | — | 2022 | → |
| Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure. | Levin MG et al. | — | 2022 | → |
| Genome-wide association study for systemic lupus erythematosus in an egyptian population. | Elghzaly AA et al. | — | 2022 | → |
| Genome-wide Enrichment of <i>TERT</i> Rare Variants in Idiopathic Pulmonary Fibrosis Patients of Latino Ancestry. | Zhang D et al. | — | 2022 | → |
| Genome-Wide Epistatic Interaction between <i>DEF1B</i> and <i>APOL1</i> High-Risk Genotypes for Chronic Kidney Disease. | Vy HMT et al. | — | 2022 | → |
| Genome-Wide Polygenic Score Predicts Large Number of High Risk Individuals in Monogenic Undiagnosed Young Onset Parkinson's Disease Patients from India. | Kukkle PL et al. | — | 2022 | → |
| Genome-wide risk prediction of common diseases across ancestries in one million people. | Mars N et al. | — | 2022 | → |
| Genomics and Functional Genomics of Alzheimer's Disease. | Kamboh MI | — | 2022 | → |
| Germline Genetic and Treatment-Related Risk Factors for Diabetes Mellitus in Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study and St Jude Lifetime Cohorts. | Richard MA et al. | — | 2022 | → |
| Getting genetic ancestry right for science and society. | Lewis ACF et al. | — | 2022 | → |
| Human genetic admixture through the lens of population genomics. | Gopalan S et al. | — | 2022 | → |
| Human immune polymorphisms associated with the risk of cryptococcal disease. | Onyishi CU et al. | — | 2022 | → |
| Identification of 969 protein quantitative trait loci in an African American population with kidney disease attributed to hypertension. | Surapaneni A et al. | — | 2022 | → |
| Identification of Shared and Asian-Specific Loci for Systemic Lupus Erythematosus and Evidence for Roles of Type III Interferon Signaling and Lysosomal Function in the Disease: A Multi-Ancestral Genome-Wide Association Study. | Wang YF et al. | — | 2022 | → |
| Identifying factors contributing to increased susceptibility to COVID-19 risk: a systematic review of Mendelian randomization studies. | Luo S et al. | — | 2022 | → |
| <i>GSTM1</i> and <i>GSTT1</i> polymorphisms in healthy volunteers - a worldwide systematic review. | Nakanishi G et al. | — | 2022 | → |
| Immunogenomics of Killer Cell Immunoglobulin-Like Receptor (KIR) and HLA Class I: Coevolution and Consequences for Human Health. | Pollock NR et al. | — | 2022 | → |
| Importance of Including Non-European Populations in Large Human Genetic Studies to Enhance Precision Medicine. | Ju D et al. | — | 2022 | → |
| Improving equity in human genomics research. | — | — | 2022 | → |
| Improving polygenic prediction in ancestrally diverse populations. | Ruan Y et al. | — | 2022 | → |
| Including diverse and admixed populations in genetic epidemiology research. | Caliebe A et al. | — | 2022 | → |
| Insight into genetic, biological, and environmental determinants of sexual-dimorphism in type 2 diabetes and glucose-related traits. | Lamri A et al. | — | 2022 | → |
| Insights Into Immune-Mediated Disease and Cancer Risk-Delivering on the Promise of UK Biobank Big Data. | Stewart DR | — | 2022 | → |
| Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation. | Smith CJ et al. | — | 2022 | → |
| Kidney omics in hypertension: from statistical associations to biological mechanisms and clinical applications. | Tomaszewski M et al. | — | 2022 | → |
| Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders. | Zhang X et al. | — | 2022 | → |
| Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification. | Ding Y et al. | — | 2022 | → |
| Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores. | Weissbrod O et al. | — | 2022 | → |
| Leveraging the local genetic structure for trans-ancestry association mapping. | Xiao J et al. | — | 2022 | → |
| Lifestage Sex-Specific Genetic Effects on Metabolic Disorders in an Adult Population in Korea: The Korean Genome and Epidemiology Study. | Kim YS et al. | — | 2022 | → |
| LmTag: functional-enrichment and imputation-aware tag SNP selection for population-specific genotyping arrays. | Thanh Nguyen D et al. | — | 2022 | → |
| Meta-analysis fine-mapping is often miscalibrated at single-variant resolution | Kanai M et al. | — | 2022 | — |
| Meta-analysis fine-mapping is often miscalibrated at single-variant resolution. | Kanai M et al. | — | 2022 | → |
| Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits. | Choudhury A et al. | — | 2022 | → |
| METRO: Multi-ancestry transcriptome-wide association studies for powerful gene-trait association detection. | Li Z et al. | — | 2022 | → |
| Multi-ancestry eQTL meta-analysis of human brain identifies candidate causal variants for brain-related traits. | Zeng B et al. | — | 2022 | → |
| Multi-ancestry fine-mapping improves precision to identify causal genes in transcriptome-wide association studies. | Lu Z et al. | — | 2022 | → |
| Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study. | Downie CG et al. | — | 2022 | → |
| Network Mendelian randomization study: exploring the causal pathway from insomnia to type 2 diabetes. | Xiuyun W et al. | — | 2022 | → |
| Opportunities and challenges for the use of common controls in sequencing studies. | Wojcik GL et al. | — | 2022 | → |
| Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies. | Zhang J et al. | — | 2022 | → |
| Pleiotropic Effects of <i>APOB</i> Variants on Lipid Profiles, Metabolic Syndrome, and the Risk of Diabetes Mellitus. | Jang SJ et al. | — | 2022 | → |
| Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association. | O'Sullivan JW et al. | — | 2022 | → |
| Polygenic score for cigarette smoking is associated with ever electronic-cigarette use in a college-aged sample. | Cooke ME et al. | — | 2022 | → |
| Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program. | Hu X et al. | — | 2022 | → |
| Population differentiation of polygenic score predictions under stabilizing selection. | Yair S et al. | — | 2022 | → |
| Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort. | Privé F et al. | — | 2022 | → |
| Precision Medicine Needs to Think Outside the Box. | Martschenko DO et al. | — | 2022 | → |
| Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits. | Highland HM et al. | — | 2022 | → |
| Protein prediction for trait mapping in diverse populations. | Schubert R et al. | — | 2022 | → |
| Psychological resilience and neurodegenerative risk: A connectomics-transcriptomics investigation in healthy adolescent and middle-aged females. | Petrican R et al. | — | 2022 | → |
| Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. | Hindy G et al. | — | 2022 | → |
| Risk of migraine contributed by genetic polymorphisms of ANKDD1B gene: a case-control study based on Chinese Han population. | Zhang T et al. | — | 2022 | → |
| Sensitive period-regulating genetic pathways and exposure to adversity shape risk for depression. | Zhu Y et al. | — | 2022 | → |
| Sex-specific genetic modifiers identified susceptibility of cold stored red blood cells to osmotic hemolysis. | Fang F et al. | — | 2022 | → |
| Short Chain Fatty Acid Metabolism in Relation to Gut Microbiota and Genetic Variability. | Ramos Meyers G et al. | — | 2022 | → |
| Should Whole Genome Sequencing be Publicly Funded for Everyone as a Matter of Healthcare Justice? | Fleck LM et al. | — | 2022 | → |
| Simultaneous inference of parental admixture proportions and admixture times from unphased local ancestry calls. | Avadhanam S et al. | — | 2022 | → |
| Single nucleotide polymorphism patterns associated with a cancer resistant phenotype. | Dunnick JK et al. | — | 2022 | → |
| Strengthening Causal Inference in Exposomics Research: Application of Genetic Data and Methods. | Avery CL et al. | — | 2022 | → |
| SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration. | Matushyn M et al. | — | 2022 | → |
| Targeting Representation: Interpreting Calls for Diversity in Precision Medicine Research. | Lee SS et al. | — | 2022 | → |
| Ten challenges for clinical translation in psychiatric genetics. | Derks EM et al. | — | 2022 | → |
| TGFBR1*6A as a modifier of breast cancer risk and progression: advances and future prospects. | Agyemang K et al. | — | 2022 | → |
| The accelerated aging phenotype: The role of race and social determinants of health on aging. | Noren Hooten N et al. | — | 2022 | → |
| The Apportionment of Pharmacogenomic Variation: Race, Ethnicity, and Adverse Drug Reactions. | Jordan IK et al. | — | 2022 | → |
| The genetics of obesity: from discovery to biology. | Loos RJF et al. | — | 2022 | → |
| The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores. | Page ML et al. | — | 2022 | → |
| Transfer Learning in Genome-Wide Association Studies with Knockoffs. | Li S et al. | — | 2022 | → |
| Type 1 diabetes in diverse ancestries and the use of genetic risk scores. | Redondo MJ et al. | — | 2022 | → |
| Umbilical cord blood: an undervalued and underutilized resource in allogeneic hematopoietic stem cell transplant and novel cell therapy applications. | Shi PA et al. | — | 2022 | → |
| Uncovering Signals of Positive Selection in Peruvian Populations from Three Ecological Regions. | Caro-Consuegra R et al. | — | 2022 | → |
| Underrepresented Populations in Parkinson's Genetics Research: Current Landscape and Future Directions. | Schumacher-Schuh AF et al. | — | 2022 | → |
| Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics. | Privé F | — | 2022 | → |
| Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health research. | Lopez-Pineda A et al. | — | 2022 | → |
| Validation of Polygenic Risk Scores for Coronary Heart Disease in a Middle Eastern Cohort Using Whole Genome Sequencing. | Saad M et al. | — | 2022 | → |
| Vitamin D and heart failure: A two-sample mendelian randomization study. | Luo Q et al. | — | 2022 | → |
| What next for eating disorder genetics? Replacing myths with facts to sharpen our understanding. | Huckins LM et al. | — | 2022 | → |
| Your height affects your health: genetic determinants and health-related outcomes in Taiwan. | Chiou JS et al. | — | 2022 | → |
| Admixed Populations Improve Power for Variant Discovery and Portability in Genome-Wide Association Studies. | Lin M et al. | — | 2021 | → |
| Admixture mapping reveals loci for carcass mass in red deer x sika hybrids in Kintyre, Scotland. | McFarlane SE et al. | — | 2021 | → |
| Advances and challenges in quantitative delineation of the genetic architecture of complex traits. | Tang H et al. | — | 2021 | → |
| Advancing drug discovery using the power of the human genome. | Heilbron K et al. | — | 2021 | → |
| African genetic diversity and adaptation inform a precision medicine agenda. | Pereira L et al. | — | 2021 | → |
| A Genetic Map of the Modern Urban Society of Amsterdam. | Ferwerda B et al. | — | 2021 | → |
| A genome-wide association study for gut metagenome in Chinese adults illuminates complex diseases. | Liu X et al. | — | 2021 | → |
| A genome-wide association study identifies a novel candidate locus at the DLGAP1 gene with susceptibility to resistant hypertension in the Japanese population. | Takahashi Y et al. | — | 2021 | → |
| A Genome-Wide Association Study of Novel Genetic Variants Associated With Anthropometric Traits in Koreans. | Cho HW et al. | — | 2021 | → |
| An association study in the Taiwan Biobank elicits the GABAA receptor genes GABRB3, GABRA5, and GABRG3 as candidate loci for sleep duration in the Taiwanese population. | Hou SJ et al. | — | 2021 | → |
| An efficient linear mixed model framework for meta-analytic association studies across multiple contexts. | Jew B et al. | — | 2021 | → |
| ANGPTL3 Variants Associate with Lower Levels of Irisin and C-Peptide in a Cohort of Arab Individuals. | Alanbaei M et al. | — | 2021 | → |
| A polygenic risk score for asthma in a large racially diverse population. | Sordillo JE et al. | — | 2021 | → |
| A sex-specific evolutionary interaction between <i>ADCY9</i> and <i>CETP</i>. | Gamache I et al. | — | 2021 | → |
| A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits. | Cai M et al. | — | 2021 | → |
| Bayesian model comparison for rare-variant association studies. | Venkataraman GR et al. | — | 2021 | → |
| Benchmarking the performance of Pool-seq SNP callers using simulated and real sequencing data. | Guirao-Rico S et al. | — | 2021 | → |
| Burden of Cardiomyopathic Genetic Variation in Lethal Pediatric Myocarditis. | Kontorovich AR et al. | — | 2021 | → |
| Characterizing the Clinical and Genetic Spectrum of Polycystic Ovary Syndrome in Electronic Health Records. | Actkins KV et al. | — | 2021 | → |
| Childhood adversity is linked to adult health among African Americans via adolescent weight gain and effects are genetically moderated. | Beach SRH et al. | — | 2021 | → |
| Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies. | Sitlani CM et al. | — | 2021 | → |
| Concurrent Newborn Hearing and Genetic Screening in a Multi-Ethnic Population in South China. | Tang X et al. | — | 2021 | → |
| Cross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank. | De Lillo A et al. | — | 2021 | → |
| Current Developments in Detection of Identity-by-Descent Methods and Applications. | Sticca EL et al. | — | 2021 | → |
| Deep Learning Enables Fast and Accurate Imputation of Gene Expression. | Viñas R et al. | — | 2021 | → |
| Ensuring that biomedical AI benefits diverse populations. | Zou J et al. | — | 2021 | → |
| Epidemiological and genetic overlap among biological aging clocks: New challenges in biogerontology. | Gialluisi A et al. | — | 2021 | → |
| Epidemiology and genomics of prostate cancer in Asian men. | Zhu Y et al. | — | 2021 | → |
| Epigenetic and non-coding regulation of alcohol abuse and addiction. | Farris SP et al. | — | 2021 | → |
| Estimating heritability and its enrichment in tissue-specific gene sets in admixed populations. | Luo Y et al. | — | 2021 | → |
| Estimating prevalence of human traits among populations from polygenic risk scores. | Graham BE et al. | — | 2021 | → |
| Evaluating marginal genetic correlation of associated loci for complex diseases and traits between European and East Asian populations. | Lu H et al. | — | 2021 | → |
| Evaluating Primary Care Providers' Readiness for Delivering Genetic and Genomic Services to Underserved Populations. | Sharma Y et al. | — | 2021 | → |
| Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes. | Robertson CC et al. | — | 2021 | → |
| Gene-environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach. | Warrier V et al. | — | 2021 | → |
| Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning. | Liu Y et al. | — | 2021 | → |
| Genetic Risk Factors for Alzheimer's Disease in Racial/Ethnic Minority Populations in the U.S.: A Scoping Review. | Rubin L et al. | — | 2021 | → |
| Genetics of Sleep and Insights into Its Relationship with Obesity. | Dashti HS et al. | — | 2021 | → |
| Genome-wide association studies for canine hip dysplasia in single and multiple populations - implications and potential novel risk loci. | Wang S et al. | — | 2021 | → |
| Genome-wide association study in the Taiwan Biobank identifies four novel genes for human height: NABP2, RASA2, RNF41 and SLC39A5. | Lin E et al. | — | 2021 | → |
| Genome-wide association study of pancreatic fat: The Multiethnic Cohort Adiposity Phenotype Study. | Streicher SA et al. | — | 2021 | → |
| Genome-Wide Identification of Rare and Common Variants Driving Triglyceride Levels in a Nevada Population. | Read RW et al. | — | 2021 | → |
| Genomic Variation and Recent Population Histories of Spotted (Strix occidentalis) and Barred (Strix varia) Owls. | Fujito NT et al. | — | 2021 | → |
| GUÍA: a digital platform to facilitate result disclosure in genetic counseling. | Suckiel SA et al. | — | 2021 | → |
| GWAS in Africans identifies novel lipids loci and demonstrates heterogenous association within Africa. | Bentley AR et al. | — | 2021 | → |
| Host genetics and infectious disease: new tools, insights and translational opportunities. | Kwok AJ et al. | — | 2021 | → |
| Identification of 38 novel loci for systemic lupus erythematosus and genetic heterogeneity between ancestral groups. | Wang YF et al. | — | 2021 | → |
| Identifying causal variants by fine mapping across multiple studies. | LaPierre N et al. | — | 2021 | → |
| Impact of Amerind ancestry and FADS genetic variation on omega-3 deficiency and cardiometabolic traits in Hispanic populations. | Yang C et al. | — | 2021 | → |
| Improving reporting standards for polygenic scores in risk prediction studies. | Wand H et al. | — | 2021 | → |
| Imputation Performance in Latin American Populations: Improving Rare Variants Representation With the Inclusion of Native American Genomes. | Jiménez-Kaufmann A et al. | — | 2021 | → |
| Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians. | Ji Y et al. | — | 2021 | → |
| Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function. | Goddard PC et al. | — | 2021 | → |
| Inter-Individual Variation and Cardioprotection in Anthracycline-Induced Heart Failure. | Norton N et al. | — | 2021 | → |
| Interpreting Clinical Trials With Omega-3 Supplements in the Context of Ancestry and <i>FADS</i> Genetic Variation. | Chilton FH et al. | — | 2021 | → |
| Leveraging genetic ancestry to study health disparities. | Batai K et al. | — | 2021 | → |
| Local adaptation and archaic introgression shape global diversity at human structural variant loci. | Yan SM et al. | — | 2021 | → |
| Longitudinal Changes in Fecal Calprotectin Levels Among Pregnant Women With and Without Inflammatory Bowel Disease and Their Babies. | Kim ES et al. | — | 2021 | → |
| Mendelian pathway analysis of laboratory traits reveals distinct roles for ciliary subcompartments in common disease pathogenesis. | Drivas TG et al. | — | 2021 | → |
| Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study. | Hu Y et al. | — | 2021 | → |
| Multi-Omic Approaches to Identify Genetic Factors in Metabolic Syndrome. | Clark KC et al. | — | 2021 | → |
| Multiple-ancestry genome-wide association study identifies 27 loci associated with measures of hemolysis following blood storage. | Page GP et al. | — | 2021 | → |
| Negative selection on complex traits limits phenotype prediction accuracy between populations. | Durvasula A et al. | — | 2021 | → |
| Novel susceptibility loci identified in a genome-wide association study of type 2 diabetes complications in population of Latvia. | Ustinova M et al. | — | 2021 | → |
| On powerful GWAS in admixed populations. | Hou K et al. | — | 2021 | → |
| Participation in genetic research among Latinx populations by Latin America birth-residency concordance: a global study. | De Ver Dye T et al. | — | 2021 | → |
| Platelet Glycoprotein Ib α-Chain as a Putative Therapeutic Target for Juvenile Idiopathic Arthritis: A Mendelian Randomization Study. | Luo S et al. | — | 2021 | → |
| Platelet-rich plasma for androgenic alopecia: A randomized, placebo-controlled, double-blind study and combined mice model experiment. | Qu Q et al. | — | 2021 | → |
| Polygenic Risk Scores for Kidney Function and Their Associations with Circulating Proteome, and Incident Kidney Diseases. | Yu Z et al. | — | 2021 | → |
| Polygenic risk scores: the future of cancer risk prediction, screening, and precision prevention. | Wang Y et al. | — | 2021 | → |
| Population-specific causal disease effect sizes in functionally important regions impacted by selection. | Shi H et al. | — | 2021 | → |
| Populations, Traits, and Their Spatial Structure in Humans. | Sohail M et al. | — | 2021 | → |
| Population structure of indigenous inhabitants of Arabia. | Mineta K et al. | — | 2021 | → |
| Precision Medicine Approaches to Vascular Disease: JACC Focus Seminar 2/5. | Miller CL et al. | — | 2021 | → |
| Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. | Xu D et al. | — | 2021 | → |
| Rapid detection of identity-by-descent tracts for mega-scale datasets. | Shemirani R et al. | — | 2021 | → |
| REHE: Fast variance components estimation for linear mixed models. | Yue K et al. | — | 2021 | → |
| Risk Prediction Using Polygenic Risk Scores for Prevention of Stroke and Other Cardiovascular Diseases. | Abraham G et al. | — | 2021 | → |
| Selective sweep for an enhancer involucrin allele identifies skin barrier adaptation out of Africa. | Mathyer ME et al. | — | 2021 | → |
| Synergizing Mouse and Human Studies to Understand the Heterogeneity of Obesity. | Gordon-Larsen P et al. | — | 2021 | → |
| Systematic Review of Genomic Associations with Blood Pressure and Hypertension in Populations with African-Ancestry. | Singh S et al. | — | 2021 | → |
| The East Asian Parkinson Disease Genomics Consortium. | Mok KY et al. | — | 2021 | → |
| The Emerging Physiological Role of AGMO 10 Years after Its Gene Identification. | Sailer S et al. | — | 2021 | → |
| The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime. | Otte KA et al. | — | 2021 | → |
| The impact of global and local Polynesian genetic ancestry on complex traits in Native Hawaiians. | Sun H et al. | — | 2021 | → |
| The importance of increasing population diversity in genetic studies of type 2 diabetes and related glycaemic traits. | Barroso I | — | 2021 | → |
| The intersection of genetics and COVID-19 in 2021: preview of the 2021 Rodney Howell Symposium. | Rasmussen SA et al. | — | 2021 | → |
| The Long Noncoding RNA RP11-728F11.4 Promotes Atherosclerosis. | Dong XH et al. | — | 2021 | → |
| The omnigenic model and polygenic prediction of complex traits. | Mathieson I | — | 2021 | → |
| The Population-Specific Impact of Neandertal Introgression on Human Disease. | Dannemann M | — | 2021 | → |
| The power of genetic diversity in genome-wide association studies of lipids. | Graham SE et al. | — | 2021 | → |
| The Propagation of Racial Disparities in Cardiovascular Genomics Research. | Clarke SL et al. | — | 2021 | → |
| Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations. | Wen J et al. | — | 2021 | → |
| Unique roles of rare variants in the genetics of complex diseases in humans. | Momozawa Y et al. | — | 2021 | → |
| VCSEL: PRIORITIZING SNP-SET BY PENALIZED VARIANCE COMPONENT SELECTION. | Kim J et al. | — | 2021 | → |
| Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. | Hu Y et al. | — | 2021 | → |
| Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits. | Thareja G et al. | — | 2021 | → |
| Whole-genome sequencing of African Americans implicates differential genetic architecture in inflammatory bowel disease. | Somineni HK et al. | — | 2021 | → |
| A brief history of human disease genetics. | Claussnitzer M et al. | — | 2020 | → |
| A common variant in PNPLA3 is associated with age at diagnosis of NAFLD in patients from a multi-ethnic biobank. | Walker RW et al. | — | 2020 | → |
| A complex system of chemokines may hold the key to optimal CD4+ T-cell recovery after antiretroviral therapy. | Sun YV et al. | — | 2020 | → |
| Advances in genome-wide association studies of complex traits in rice. | Wang Q et al. | — | 2020 | → |
| Advancing Diverse Participation in Research with Special Consideration for Vulnerable Populations. | — | — | 2020 | → |
| A Family-Based Genome Wide Association Study of Externalizing Behaviors. | Barr PB et al. | — | 2020 | → |
| A framework for transcriptome-wide association studies in breast cancer in diverse study populations. | Bhattacharya A et al. | — | 2020 | → |
| Allelic Heterogeneity at the CRP Locus Identified by Whole-Genome Sequencing in Multi-ancestry Cohorts. | Raffield LM et al. | — | 2020 | → |
| Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats. | Guan D et al. | — | 2020 | → |
| Ancestry-specific associations identified in genome-wide combined-phenotype study of red blood cell traits emphasize benefits of diversity in genomics. | Hodonsky CJ et al. | — | 2020 | → |
| Ancestry-specific hereditary cancer panel yields: Moving toward more personalized risk assessment. | Roberts ME et al. | — | 2020 | → |
| An integrated personal and population-based Egyptian genome reference. | Wohlers I et al. | — | 2020 | → |
| A positively selected FBN1 missense variant reduces height in Peruvian individuals. | Asgari S et al. | — | 2020 | → |
| A variant-centric perspective on geographic patterns of human allele frequency variation. | Biddanda A et al. | — | 2020 | → |
| Beyond Cultural Competency Training and Diversity and Inclusion Statements: The Quality of Genetic Testing for Asian Americans. | Duong C et al. | — | 2020 | → |
| Biological Role of Unsaturated Fatty Acid Desaturases in Health and Disease. | Czumaj A et al. | — | 2020 | → |
| Cardiovascular disease risk and pathophysiology in South Asians: can longitudinal multi-omics shed light? | Sun YV et al. | — | 2020 | → |
| Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts. | Moll M et al. | — | 2020 | → |
| Clinical implementation of pharmacogenomics via a health system-wide research biobank: the University of Colorado experience. | Aquilante CL et al. | — | 2020 | → |
| Cohort Profile: ZOE 2.0-A Community-Based Genetic Epidemiologic Study of Early Childhood Oral Health. | Divaris K et al. | — | 2020 | → |
| Don't ignore genetic data from minority populations. | Ben-Eghan C et al. | — | 2020 | → |
| Epigenomic and Transcriptomic Dynamics During Human Heart Organogenesis. | VanOudenhove J et al. | — | 2020 | → |
| Evaluating the promise of inclusion of African ancestry populations in genomics. | Bentley AR et al. | — | 2020 | → |
| Factors influencing precision medicine knowledge and attitudes. | Chakravarthy R et al. | — | 2020 | → |
| Frequency of ClinVar Pathogenic Variants in Chronic Kidney Disease Patients Surveyed for Return of Research Results at a Cleveland Public Hospital. | Crawford DC et al. | — | 2020 | → |
| From genome-wide association studies to rational drug target prioritisation in inflammatory arthritis. | Fang H et al. | — | 2020 | → |
| Funding of Hispanic/Latino Health-Related Research by the National Institutes of Health: An Analysis of the Portfolio of Research Program Grants on Six Health Topic Areas. | Avilés-Santa ML et al. | — | 2020 | → |
| Genetic Epidemiology in Latin America: Identifying Strong Genetic Proxies for Complex Disease Risk Factors. | Bonilla C et al. | — | 2020 | → |
| Genetics Insights in the Relationship Between Type 2 Diabetes and Coronary Heart Disease. | Goodarzi MO et al. | — | 2020 | → |
| Genome-wide association studies of cardiac electrical phenotypes. | Glinge C et al. | — | 2020 | → |
| Genome-wide association study of cognitive function in diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos. | Jian X et al. | — | 2020 | → |
| Genome-Wide Association Study of Liver Fat: The Multiethnic Cohort Adiposity Phenotype Study. | Park SL et al. | — | 2020 | → |
| Harnessing genome-wide association studies to minimize adverse radiation-induced side effects. | Benitez CM et al. | — | 2020 | → |
| Hierarchical Modelling of Haplotype Effects on a Phylogeny. | Selle ML et al. | — | 2020 | → |
| Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx. | Gay NR et al. | — | 2020 | → |
| Implicit bias of encoded variables: frameworks for addressing structured bias in EHR-GWAS data. | Dueñas HR et al. | — | 2020 | → |
| Importance of Genetic Studies of Cardiometabolic Disease in Diverse Populations. | Fernández-Rhodes L et al. | — | 2020 | → |
| Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases. | Ishigaki K et al. | — | 2020 | → |
| Localizing Components of Shared Transethnic Genetic Architecture of Complex Traits from GWAS Summary Data. | Shi H et al. | — | 2020 | → |
| Lung Function in African American Children with Asthma Is Associated with Novel Regulatory Variants of the KIT Ligand <i>KITLG/SCF</i> and Gene-By-Air-Pollution Interaction. | Mak ACY et al. | — | 2020 | → |
| Minority-centric meta-analyses of blood lipid levels identify novel loci in the Population Architecture using Genomics and Epidemiology (PAGE) study. | Hu Y et al. | — | 2020 | → |
| Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland. | Docherty AR et al. | — | 2020 | → |
| Multi-Ethnic Genome-Wide Association Study of Decomposed Cardioelectric Phenotypes Illustrates Strategies to Identify and Characterize Evidence of Shared Genetic Effects for Complex Traits. | Baldassari AR et al. | — | 2020 | → |
| Multilevel omics for the discovery of biomarkers and therapeutic targets for stroke. | Montaner J et al. | — | 2020 | → |
| Native American gene flow into Polynesia predating Easter Island settlement. | Ioannidis AG et al. | — | 2020 | → |
| Pharmacogenomics, biomarker network, and allele frequencies in colorectal cancer. | López-Cortés A et al. | — | 2020 | → |
| Polygenic risk scores: from research tools to clinical instruments. | Lewis CM et al. | — | 2020 | → |
| Population-Matched Transcriptome Prediction Increases TWAS Discovery and Replication Rate. | Geoffroy E et al. | — | 2020 | → |
| Population-specific reference panels are crucial for genetic analyses: an example of the CREBRF locus in Native Hawaiians. | Lin M et al. | — | 2020 | → |
| Precision medicine in the era of artificial intelligence: implications in chronic disease management. | Subramanian M et al. | — | 2020 | → |
| Prospective avenues for human population genomics and disease mapping in southern Africa. | Swart Y et al. | — | 2020 | → |
| Proteomic and Metabolomic Correlates of Healthy Dietary Patterns: The Framingham Heart Study. | Walker ME et al. | — | 2020 | → |
| Schizophrenia Polygenic Risk and Brain Structural Changes in Methamphetamine-Associated Psychosis in a South African Population. | Passchier RV et al. | — | 2020 | → |
| Strategic vision for improving human health at The Forefront of Genomics. | Green ED et al. | — | 2020 | → |
| The Genetics of Externalizing Problems. | Barr PB et al. | — | 2020 | → |
| Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations. | Wang Y et al. | — | 2020 | → |
| The promise and reality of therapeutic discovery from large cohorts. | Melamud E et al. | — | 2020 | → |
| The single-cell eQTLGen consortium. | van der Wijst M et al. | — | 2020 | → |
| Toward precision prescribing for methadone: Determinants of methadone deposition. | Talal AH et al. | — | 2020 | → |
| Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations. | Chen MH et al. | — | 2020 | → |
| Update on NAFLD genetics: From new variants to the clinic. | Trépo E et al. | — | 2020 | → |
| Using human pluripotent stem cell models to study autism in the era of big data. | Nehme R et al. | — | 2020 | → |
| Using the electronic health record for genomics research. | Safarova MS et al. | — | 2020 | → |
| Validation of a Genome-Wide Polygenic Score for Coronary Artery Disease in South Asians. | Wang M et al. | — | 2020 | → |
| Variable prediction accuracy of polygenic scores within an ancestry group. | Mostafavi H et al. | — | 2020 | → |
| Variation in the Human Leukocyte Antigen system and risk for endemic Burkitt lymphoma in northern Uganda. | Kirimunda S et al. | — | 2020 | → |
| WEIRD bodies: mismatch, medicine and missing diversity. | Gurven MD et al. | — | 2020 | → |
| A meta-analysis of genome-wide association studies identifies multiple longevity genes. | Deelen J et al. | — | 2019 | → |
| Analysis of polygenic risk score usage and performance in diverse human populations. | Duncan L et al. | — | 2019 | → |
| A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans. | Pendergrass SA et al. | — | 2019 | → |
| Diversity matters. | — | — | 2019 | → |
| Functional genomic characterization of the <i>FTO</i> locus in African Americans. | Gill R et al. | — | 2019 | → |
| Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations. | Peterson RE et al. | — | 2019 | → |
| Genomics and the Acute Respiratory Distress Syndrome: Current and Future Directions. | Hernández-Beeftink T et al. | — | 2019 | → |
| Making the case for more inclusive GWAS. | Clyde D | — | 2019 | → |
| Melanocortin 4 Receptor Gene Sequence Analyses in Diverse Populations. | Edwards MA et al. | — | 2019 | → |
| Natural Killer Cells Offer Differential Protection From Leukemia in Chinese Southern Han. | Deng Z et al. | — | 2019 | → |
| Pancreatic Islet Transcriptional Enhancers and Diabetes. | Cebola I | — | 2019 | → |
| Pilot GWAS of caries in African-Americans shows genetic heterogeneity. | Orlova E et al. | — | 2019 | → |
| Sequencing Analysis at 8p23 Identifies Multiple Rare Variants in DLC1 Associated with Sleep-Related Oxyhemoglobin Saturation Level. | Liang J et al. | — | 2019 | → |
| The Future of Genomic Studies Must Be Globally Representative: Perspectives from PAGE. | Bien SA et al. | — | 2019 | → |
| Tobacco smoking patterns in Samoa in 2010: Implications for interventions. | Adia AC et al. | — | 2019 | → |
| Towards clinical utility of polygenic risk scores. | Lambert SA et al. | — | 2019 | → |
| Translational Health Disparities Research in a Data-Rich World. | Breen N et al. | — | 2019 | → |
| TwinsMX: Uncovering the Basis of Health and Disease in the Mexican Population. | Leon-Apodaca AV et al. | — | 2019 | → |
| Using the Data We Have: Improving Diversity in Genomic Research. | Manolio TA | — | 2019 | → |
| ZRANB3 is an African-specific type 2 diabetes locus associated with beta-cell mass and insulin response. | Adeyemo AA et al. | — | 2019 | → |
| Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study. | Jo Hodonsky C et al. | — | 2018 | → |