Clinical use of current polygenic risk scores may exacerbate health disparities.
paper
Cited
Public
- Authors
- Martin, Alicia R; Kanai, Masahiro; Kamatani, Yoichiro; Okada, Yukinori; Neale, Benjamin M; Daly, Mark J
- Year
- 2019
- Journal
- Nature genetics
- PMID
- 30926966
- DOI
- 10.1038/s41588-019-0379-x
- PMCID
- PMC6563838
Polygenic risk scores (PRS) are poised to improve biomedical outcomes via precision medicine. However, the major ethical and scientific challenge surrounding clinical implementation of PRS is that those available today are several times more accurate in individuals of European ancestry than other ancestries. This disparity is an inescapable consequence of Eurocentric biases in genome-wide association studies, thus highlighting that-unlike clinical biomarkers and prescription drugs, which may individually work better in some populations but do not ubiquitously perform far better in European populations-clinical uses of PRS today would systematically afford greater improvement for European-descent populations. Early diversifying efforts show promise in leveling this vast imbalance, even when non-European sample sizes are considerably smaller than the largest studies to date. To realize the full and equitable potential of PRS, greater diversity must be prioritized in genetic studies, and summary statistics must be publically disseminated to ensure that health disparities are not increased for those individuals already most underserved.
Ancestry of GWAS participants over time compared to the global population.Cumulative data as reported by the GWAS catalog76. Individuals whose ancestry is “not reported” are not shown.
LLM interpretation
This figure consists of a stacked area chart and a corresponding stacked bar chart comparing the ancestry of GWAS participants over time (2006–2018) to the current global population. The area chart shows an exponential increase in total participants, with the European population (red) overwhelmingly dominating the sample size compared to other ancestries. The bottom panel displays the fraction of each ancestry over time, remaining consistently high for Europeans, while the rightmost bar chart illustrates the disparity between these GWAS proportions and the actual global population distribution.
Demographic relationships, allele frequency differences, and local LD patterns between population pairs.Data analyzed from 1000 Genomes, in which population labels are: AFR = continental African, EUR = European, and EAS = East Asian. a) Cartoon relationships among AFR, EUR, and EAS populations. b) Allele frequency distributions in AFR, EUR, and EAS populations of variants from the GWAS catalog. c–e) Color axis shows LD scale (r2). LD comparisons between pairs of populations show the same region of the genome for each comparison (representative region is chr1, 51572kb-52857kb) among pairs of SNPs polymorphic in both populations, illustrating that different SNPs are polymorphic across some population pairs, and that these SNPs have variable LD patterns across populations.
LLM interpretation
This figure consists of a population relationship diagram, a density plot, and three linkage disequilibrium (LD) heatmaps. Panel (a) shows a cartoon representation of the relationships between AFR, EUR, and EAS populations, while panel (b) displays the density of minor allele frequencies for GWAS catalog sites, showing a higher density of low-frequency variants in the EAS and AFR populations compared to EUR. Panels (c–e) use heatmaps to compare LD patterns ($r^2$) across the same genomic region for population pairs (EAS vs. AFR, EUR vs. EAS, and EUR vs. AFR), illustrating variable LD patterns and differing polymorphic SNPs between populations.
Prediction accuracy relative to European ancestry individuals across 17 quantitative traits and 5 continental populations in UKBB.All phenotypes shown here are quantitative anthropometric and blood panel traits, as described in Supplementary Table 6, which includes discovery cohort sample sizes. Prediction target individuals do not overlap with the discovery cohort and are unrelated, with sample sizes shown in Supplementary Table 7. Violin plots show distributions of relative prediction accuracies, points show mean values, and error bars show standard errors of the means. Prediction R2 for each trait and population are shown in Supplementary Figure 12.
LLM interpretation
This figure uses violin plots to show the distribution of prediction accuracy relative to European ancestry individuals across five continental populations. The y-axis represents relative prediction accuracy, and the x-axis lists the populations: European, American, South Asian, East Asian, and African. Mean values are indicated by points with error bars representing standard errors of the means, showing a general trend of decreasing prediction accuracy from European and American populations to African populations.
Polygenic risk prediction accuracy in Japanese, British, and African descent individuals using independent GWAS of equal sample sizes in the BioBank Japan (BBJ) and UK Biobank (UKBB).a) Explanatory diagram showing the different discovery and target cohorts/populations, and disease endpoints versus quantitative traits. b–f) Genetic prediction accuracy computed from independent BBJ and UKBB summary statistics with identical sample sizes (Supplementary Tables 6 and 8). Note that y-axes differ, reflecting differences in prediction accuracy. b–c) PRS accuracy for five diseases in: Japanese individuals in the BBJ (b) and British individuals in the UKBB. d–f) PRS accuracy for 17 anthropometric and blood panel traits in: Japanese individuals in the BBJ (d), British individuals in the UKBB (e), and African descent British individuals in the UKBB (f). Trait abbreviations are as in Supplementary Table 6. Each point shows the maximum R2 (i.e. best predictor) across five p-value thresholds, and lines correspond to 95% confidence intervals calculated via bootstrap. R2 values for all p-value thresholds tested are shown in Supplementary Figures 2–6. Prediction accuracy tends to be higher in the UKBB for quantitative traits than in BBJ and vice versa for disease endpoints, likely because of concomitant phenotype precision and consequently observed heritability for these classes of traits (Supplementary Tables 2–4). Thalassemia and sickle cell disease are unlikely to explain a significant fraction of prediction accuracy differences for blood panels across populations, as few individuals have been diagnosed with these disorders via ICD-10 codes (Supplementary Table 9).
LLM interpretation
This figure consists of an explanatory diagram (a) and five dot plots (b–f) showing polygenic risk score (PRS) prediction accuracy ($R^2$) across different populations and phenotypes. Panels b–c compare disease endpoints and panels d–f compare quantitative traits, with data points representing the maximum $R^2$ and lines indicating 95% confidence intervals. The plots compare prediction accuracy using summary statistics from BioBank Japan (BBJ, blue) and UK Biobank (UKBB, red) across Japanese, British, and African descent individuals.
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| Genetic Predisposition to Excess Body Weight and Survival in Women Diagnosed With Breast Cancer. | Bodelon C et al. | — | 2026 | → |
| Genetic Susceptibility to Schizophrenia and the Onset of Brain Developmental Change During Adolescence. | Xu B et al. | — | 2026 | → |
| Genome wide association analysis and association of genetic risk and lifestyle with upper gastrointestinal cancer among an endoscopy-screened cohort in China. | He F et al. | — | 2026 | → |
| Genome-wide association studies (GWAS) in 2026: From gene hunting to biological discovery in endocrine and cardiometabolic diseases. | Berrandou TE | — | 2026 | → |
| Genome-wide association studies of lifetime and frequency of cannabis use in 131,895 individuals. | Thorpe HHA et al. | — | 2026 | → |
| Genome-wide association study of delay discounting identifies 11 loci and reveals transdiagnostic associations across mental and physical health. | Thorpe HHA et al. | — | 2026 | → |
| Genomic and AI-driven discovery in chronic prostatitis: Causal role of ITPR3 and therapeutic repurposing of raloxifene. | Li Y et al. | — | 2026 | → |
| Genomic, phenomic and geographic associations of leukocyte telomere length in the United States. | Nakao T et al. | — | 2026 | → |
| Germline mutations and somatic mosaicism in steatotic liver diseases and related liver carcinogenesis. | Trépo E et al. | — | 2026 | → |
| Glaucoma Polygenic Risk Scores Demonstrate Heterogeneous Performance across 2 Large Multiethnic Cohorts. | Bineshfar N et al. | — | 2026 | → |
| Global multi-ancestry genome-wide analyses identify genes and biological pathways associated with thyroid cancer and benign thyroid diseases. | White SL et al. | — | 2026 | → |
| Harnessing artificial intelligence for genomic variant prediction: advances, challenges, and future directions. | Pakpahan I et al. | — | 2026 | → |
| Healthcare professionals' experiences returning monogenic, polygenic, and integrated risk results in the eMERGE study. | Suckiel SA et al. | — | 2026 | → |
| HLA-focused type 1 diabetes genetic risk prediction in populations of diverse ancestry. | Michalek DA et al. | — | 2026 | → |
| How variant discovery redefines genetic prevalence: the case of cystine stone disease. | Wu CW et al. | — | 2026 | → |
| Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research. | Cromer SJ et al. | — | 2026 | → |
| Insights into human adaptation from ancient DNA. | MemarMoshrefi D et al. | — | 2026 | → |
| Integration of clinical and proteomic risk factors enhances prognostic modelling of incident vascular complications in type 2 diabetes. | Huang Y et al. | — | 2026 | → |
| Integrative Harmonization of Phenotypic and Genomic Data Improves Bone Mineral Density Prediction in Multi-Study Osteoporosis Research. | Liu A et al. | — | 2026 | → |
| Interaction between Neighborhood Exposome and Genetic Risk in Child Persistent Distressing Psychotic-like Experiences. | Chen Y et al. | — | 2026 | → |
| Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits. | Zhu J et al. | — | 2026 | → |
| Maternal and fetal genetic predispositions to insulin deficiency and resistance affect fetal growth through distinct pathways. | Yu G et al. | — | 2026 | → |
| Multi-omics analysis of perfluorooctanoic acid and glioblastoma: insights from Mendelian randomization, network toxicology, and molecular docking. | Yang X et al. | — | 2026 | → |
| Multiscale predictive cellular modeling: integrating hypothesis grammars, digital twins, and multi-omics for In silico oncology and precision theranostics. | Gopukumar ST et al. | — | 2026 | → |
| Multi-trait and multi-ancestry genetic analysis of comorbid lung diseases and traits improves genetic discovery and polygenic risk prediction. | He Y et al. | — | 2026 | → |
| Perioperative polygenic and APOE-based genetic risk assessment for neurocognitive disorders: a biobank study. | Thedim M et al. | — | 2026 | → |
| Pharmacogenomic study of the effects of saxagliptin on glucose control and hypoglycemic events. | Pilon MO et al. | — | 2026 | → |
| Polygenic Risk Scores: A Hidden Risk of Lower Urinary Tract Symptoms? | Peñafiel JF et al. | — | 2026 | → |
| Polygenic Risk Scores for Breast Cancer: Modern Approaches to Risk Prediction and Subtype Identification. | Dipp-Martin K et al. | — | 2026 | → |
| Polygenic risk scores: Navigating the future of precision medicine through economic, ethical, and scientific advancements. | Nguyen HHK et al. | — | 2026 | → |
| Precision medicine in low-income settings and small island developing states. | Saluja S et al. | — | 2026 | → |
| Predictive Biomarkers for Asymptomatic Adults: Opportunities, Risks, and Guidance for General Practice. | Wiedermann CJ et al. | — | 2026 | → |
| Proceedings of the second Artificial Intelligence in Primary Immunodeficiency (AIPI) meeting. | Rivière JG et al. | — | 2026 | → |
| S4-multi: Enhancing polygenic score prediction in ancestrally diverse populations. | Baierl J et al. | — | 2026 | → |
| Scanning the Horizon of Sociogenomics: an Assessment of the Development and Growth of Polygenic Indices for Social and Behavioral Traits. | Canter C et al. | — | 2026 | → |
| Secure bioinformatics: privacy-preserving federated analytics using homomorphic encryption. | Zhou W et al. | — | 2026 | → |
| Silenced genomes. | Moutinho S | — | 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 Brazilian Population Tumor Atlas Project: addressing representation in cancer genomics in Brazil. | Boroni M et al. | — | 2026 | → |
| The effect of long-range linkage disequilibrium on allele-frequency dynamics under stabilizing selection. | Negm S et al. | — | 2026 | → |
| The Emerging Role of Olfactory Receptors: From Genomics to Precision Medicine. | Dubey N et al. | — | 2026 | → |
| The OurHealth Study: A digital genomic cohort for cardiometabolic risk mechanisms in US South Asians. | Ganesh S et al. | — | 2026 | → |
| "There's no representation": a qualitative study of attitudes and motivations towards genomic research participation among Australian South Asians. | Nathan V et al. | — | 2026 | → |
| The role of age in the relationship between brain structure and cognition: moderator or confound? | Griffin B et al. | — | 2026 | → |
| The Spanish Polygenic Score reference distribution: a resource for personalized medicine. | Carmona R et al. | — | 2026 | → |
| Three open questions in polygenic score portability. | Wang JY et al. | — | 2026 | → |
| Tractor workflow: a scalable Nextflow framework for local ancestry-aware genome-wide association studies. | Shah NN et al. | — | 2026 | → |
| Understanding and characterizing the higher rates of medical comorbidities in serious mental illness. | Farooqui M et al. | — | 2026 | → |
| Unique and shared internalizing and externalizing genetic factors associated with suicidal thoughts and behaviors: Findings from the adolescent brain cognitive development study. | Thomas NS et al. | — | 2026 | → |
| Unraveling the genetic blueprint of coronary artery disease: The role of polygenic risk scores in risk prediction. | El Ghazawi A et al. | — | 2026 | → |
| Variant-to-Biomarker Pathways in Peripheral Artery Disease: Multiomics Integration and Clinical Translation. | Wang W et al. | — | 2026 | → |
| Whole-genome sequence-based association analysis of African American individuals with bipolar disorder and schizophrenia. | Li R et al. | — | 2026 | → |
| Whole-genome sequencing of 3135 individuals representing the genetic diversity of the Japanese population. | Higasa K et al. | — | 2026 | → |
| 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. | Martin SS et al. | — | 2025 | → |
| A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic interaction effects. | Fu B et al. | — | 2025 | → |
| A call for greater diversity and representativeness within countries in psychiatric research: lessons and challenges from a systematic review of schizophrenia research in Brazil. | Freitas TH et al. | — | 2025 | → |
| A comprehensive exploration of the impact and contribution of polygenic risk score on age at onset of 30 complex diseases. | Liu Y et al. | — | 2025 | → |
| Additive Value of Polygenic Risk Score to Family History for Type 2 Diabetes Prediction: Results From the All of Us Research Database. | Drzymalla E et al. | — | 2025 | → |
| Advances in genetic and molecular insights into thyroid disorders: Implications for diagnosis, prognosis, and personalized treatment. | Alshehri FF | — | 2025 | → |
| Advancing Mental Health Research Through Strategic Integration of Transdiagnostic Dimensions and Genomics. | Doyle AE et al. | — | 2025 | → |
| Age-Dependent Contributions of Rare and Common Genetic Variation in Atrial Fibrillation. | Chen Z et al. | — | 2025 | → |
| A genealogy-based approach for revealing ancestry-specific structures in admixed populations. | Tang J et al. | — | 2025 | → |
| AI-driven transformation of precision medicine: a comprehensive narrative review of key application areas, emerging paradigms, and future directions. | Zeng Q et al. | — | 2025 | → |
| Alzheimer's disease in the Kingdom of Saudi Arabia: Current perspectives and genetic insights. | Alharbi AA et al. | — | 2025 | → |
| An African ancestry-specific nonsense variant in CD36 is associated with a higher risk of dilated cardiomyopathy. | Huffman JE et al. | — | 2025 | → |
| Analysis of left ventricular mass for African American individuals using multi-ancestry polygenic risk scores: the Jackson Heart Study. | McLaurin D et al. | — | 2025 | → |
| Ancestry- and Age-Dependent Effects of NOS3 Polymorphisms on Coronary Heart Disease Risk: A Meta-analysis. | Jafarinejad-Farsangi S et al. | — | 2025 | → |
| Ancestry gaps in cardiovascular GWAS: a multi-database review of African representation in genomic studies. | Pomales-Matos DA et al. | — | 2025 | → |
| An Integrative Polygenic and Epigenetic Risk Score for Overweight-related Hypertension in Chinese Population. | Zhang 张亚宁 Y et al. | — | 2025 | → |
| A Phenome-Wide association study (PheWAS) of genetic risk for C-reactive protein in children of European Ancestry: Results from the ABCD study. | Norton SA et al. | — | 2025 | → |
| A protocol for using human genetic data to identify circulating protein level changes that are the causal consequence of cancer processes. | Hobson LM et al. | — | 2025 | → |
| A randomized study of 2 risk assessment models for individualized breast cancer risk estimation. | López-Fernández A et al. | — | 2025 | → |
| Artificial intelligence in cancer: applications, challenges, and future perspectives. | Cheng CH et al. | — | 2025 | → |
| A scoping review of the assessment reports of genetic or genomic tests reveals inconsistent consideration of key dimensions of clinical utility. | Pezzullo AM et al. | — | 2025 | → |
| Asian diversity in human immune cells. | Kock KH et al. | — | 2025 | → |
| Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study. | Takase M et al. | — | 2025 | → |
| Associations of family history of hypertension, genetic, and lifestyle risks with incident hypertension. | Takase M et al. | — | 2025 | → |
| Associations of Maternal Smoking During Pregnancy and Genetic Susceptibility with Incident Asthma from a Cohort Study. | Zhang S et al. | — | 2025 | → |
| Associations of polygenic scores and developmental trajectories of externalizing behaviors. | Sasia AB et al. | — | 2025 | → |
| Benchmarking for genotyping and imputation using degraded DNA for forensic applications across diverse populations. | Zavala EI et al. | — | 2025 | → |
| Bench to all Bedsides in Genomics and Precision Medicine. | Tcheandjieu C et al. | — | 2025 | → |
| Binge drinking trajectories across adolescence and early adulthood: Associations with genetic influences for dual-systems impulsive personality traits, alcohol consumption, and alcohol use disorder. | Miller AP et al. | — | 2025 | → |
| Breaking research silos to achieve equitable precision medicine in rheumatology. | Ainsworth HC et al. | — | 2025 | → |
| Bridging genomics' greatest challenge: The diversity gap. | Corpas M et al. | — | 2025 | → |
| Bridging the United States population diversity gaps in clinical research: roadmap to precision health and reducing health disparities. | Roman Y | — | 2025 | → |
| CADET: Enhanced transcriptome-wide association analyses in admixed samples using eQTL summary data. | Head ST et al. | — | 2025 | → |
| Can AI reveal the next generation of high-impact bone genomics targets? | Greene CS et al. | — | 2025 | → |
| Cardiac Repair and Regeneration via Advanced Technology: Narrative Literature Review. | Lee Y et al. | — | 2025 | → |
| Causal association between insomnia and diabetic nephropathy independent of diabetes: Evidence from 2-sample Mendelian randomization analysis. | Zhang J et al. | — | 2025 | → |
| Causal relationship between interleukin-6 levels and the risk of synovitis and tenosynovitis: A two-sample Mendelian randomization study. | Wang B et al. | — | 2025 | → |
| Characterizing selection on complex traits through conditional frequency spectra. | Patel RA et al. | — | 2025 | → |
| Clinical staging to guide management of metabolic disorders and their sequelae: a European Atherosclerosis Society consensus statement. | Romeo S et al. | — | 2025 | → |
| Clinical validation of an integrated risk assessment test incorporating genomic and non-genomic data for sporadic breast cancer in Colombia. | Velasco Parra HM et al. | — | 2025 | → |
| Cognitive and Global Morphometry Trajectories as Predictors of Youth Persistent Distressing Psychotic-Like Experiences. | Karcher NR et al. | — | 2025 | → |
| Common DNA sequence variation influences epigenetic aging in African populations. | Meeks GL et al. | — | 2025 | → |
| Comparative effectiveness of pharmacogenomic-guided versus unguided antidepressant treatment in major depressive disorder: new insights from subgroup and cumulative meta-analyses. | Zhang Y et al. | — | 2025 | → |
| Comparison of methods for building polygenic scores for diverse populations. | Gunn S et al. | — | 2025 | → |
| Comparison of polygenic risk scores for type 2 diabetes developed from different ancestry groups. | Furukawa T et al. | — | 2025 | → |
| Complex genetic effects linked to plasma protein abundance in the UK Biobank. | Sigurdsson AI et al. | — | 2025 | → |
| Computational whole-body-exposome models for global precision brain health. | Ibáñez A et al. | — | 2025 | → |
| Concordance between male- and female-specific GWAS results helps define underlying genetic architecture of complex traits. | Miller AK et al. | — | 2025 | → |
| Considering Clinical Implementation of Polygenic Scores in Hereditary Cancer Risk Assessment: Recipients' Perspectives on Influencing Factors and Strategies. | Purvis R et al. | — | 2025 | → |
| Contrasting genetic burden for bipolar disorder: Early onset versus late onset in an older adult bipolar disorder sample. | Montejo L et al. | — | 2025 | → |
| Contribution and interaction of polygenic predisposition and family history of coronary heart disease in predicting cardiovascular risk. | Galimberti F et al. | — | 2025 | → |
| CRISPR-Cas9 Targeting PCSK9: A Promising Therapeutic Approach for Atherosclerosis. | Gu B et al. | — | 2025 | → |
| Cross-biobank generalizability and accuracy of electronic health record-based predictors compared to polygenic scores. | Detrois KE et al. | — | 2025 | → |
| Cross-organ hierarchy of HLA molecular mismatches in donor-specific antibody development in solid organ transplantations. | Hirata M et al. | — | 2025 | → |
| Cross-Population Analysis of Sjögren's Syndrome Polygenic Risk Scores and Disease Prevalence: A Pilot Study. | Ferrara E et al. | — | 2025 | → |
| Data simulation to optimize frameworks for genome-wide association studies in diverse populations. | Mugo JW et al. | — | 2025 | → |
| Decoding the genomic symphony: unravelling brain disorders through data integration and machine learning. | Bracher-Smith M et al. | — | 2025 | → |
| Defining next steps in the clinical implementation of polygenic scores: A landscape analysis of professional groups' perspectives. | Purvis R et al. | — | 2025 | → |
| Dental genomics in Africa: colonial legacies and research gaps. | Kabbashi S et al. | — | 2025 | → |
| Depression Polygenicity and Disease Activity and Disability Worsening in Multiple Sclerosis. | Manouchehrinia A et al. | — | 2025 | → |
| Development of the Comprehensive Addiction Risk Evaluation System: Initial Participant Response to an Online Personalized Feedback Program Integrating Genomic, Behavioral, and Environmental Risk Information. | Dick DM et al. | — | 2025 | → |
| Diabetes mellitus polygenic risk scores: heterogeneity and clinical translation. | Ortega HI et al. | — | 2025 | → |
| Differential gene expression study in whole blood identifies candidate genes for psychosis in African American individuals. | Knowles EEM et al. | — | 2025 | → |
| Differential performance of polygenic risk scores for heart disease in Hispanic/Latino subgroups: Findings of the Hispanic Community Health Study/Study of Latinos. | Hutten CG et al. | — | 2025 | → |
| Differential Performance of Polygenic Score for Coronary Artery Disease Based on Coronary Artery Calcium Between Men Living With and Without HIV. | Wojcik G et al. | — | 2025 | → |
| Digital pathways connecting social and biological factors to health outcomes and equity. | Cui Y | — | 2025 | → |
| Direct-to-Consumer Genetic Testing for Cardiovascular Disease: A Scientific Statement From the American Heart Association. | Hull LE et al. | — | 2025 | → |
| Distinct explanations underlie gene-environment interactions in the UK Biobank. | Durvasula A et al. | — | 2025 | → |
| Distributional Cost-Effectiveness Analysis in Genomic Medicine: Considerations for Addressing Health Equity. | Smith HS et al. | — | 2025 | → |
| Diverse and large-scale brain data in child development research. | Zhang L et al. | — | 2025 | → |
| Diversifying Psychiatric Genomics: Globally Inclusive Strategies Toward Health Equity. | Giusti-Rodríguez P et al. | — | 2025 | → |
| Diversity and longitudinal records: Genetic architecture of disease associations and polygenic risk in the Taiwanese Han population. | Liu TY et al. | — | 2025 | → |
| Do polygenic indices capture "direct" effects on child externalizing behavior problems? Within-family analyses in two longitudinal birth cohorts. | Tanksley PT et al. | — | 2025 | → |
| Driving Global Health equity and precision medicine through African genomic data. | Ojewunmi OO et al. | — | 2025 | → |
| Echoes of eugenics: confronting its effects in indigenous genomics. | Sherman CA et al. | — | 2025 | → |
| Effect of healthy lifestyle on renal dysfunction risk: interactions with genetic risk. | Takase M et al. | — | 2025 | → |
| Effect of polygenic scores on the relationship between psychosis and cognition. | Varney L et al. | — | 2025 | → |
| Eleven Grand Challenges for Inflammatory Bowel Disease Genetics and Genomics. | Gibson G et al. | — | 2025 | → |
| ENABLING A HEALTHIER FUTURE FOR ALL THROUGH PRECISION MEDICINE. | Denny JC | — | 2025 | → |
| Engaging migrants and immigrants in genetics research. | Valdez-Aguilar M et al. | — | 2025 | → |
| Enhanced Risk Prediction for Coronary Heart Disease by Leveraging Polygenic Risk Score and Clinical Risk Score in European Hypertensive Adults. | Shen S et al. | — | 2025 | → |
| Enhancing the discriminatory power of polygenic scores for ADHD and autism in clinical and non-clinical samples. | Li JJ et al. | — | 2025 | → |
| Environmental risk factors for schizophrenia spectrum disorders around the globe: a mapping review of the literature. | Tosato S et al. | — | 2025 | → |
| Epigenetic and genetic profiling of comorbidity patterns among substance dependence diagnoses. | Pathak GA et al. | — | 2025 | → |
| Equitable machine learning counteracts ancestral bias in precision medicine. | Smith LA et al. | — | 2025 | → |
| Estimating disorder probability based on polygenic prediction using the BPC approach. | Uffelmann E et al. | — | 2025 | → |
| Ethical Considerations in Psychiatric Genomics. | Stein DJ et al. | — | 2025 | → |
| Ethical, Legal, and Social Implications of Gene-Environment Interaction Research. | Calluori S et al. | — | 2025 | → |
| Evaluation of polygenic scores for hypertrophic cardiomyopathy in the general population and across clinical settings. | Zheng SL et al. | — | 2025 | → |
| Evolution, genetic diversity, and health. | Palma-Martínez MJ et al. | — | 2025 | → |
| Expanding scope of genetic studies in the era of biobanks. | Dutta D et al. | — | 2025 | → |
| Explicating the transformative role of artificial intelligence in designing targeted nanomedicine. | Akhtar M et al. | — | 2025 | → |
| Expression of concern for global biomedical research by the human genome organization (HUGO). | Hamosh A et al. | — | 2025 | → |
| Factors Associated With Minority Patient Enrollment in a Gastric Cancer Biobank. | Pettigrew MF et al. | — | 2025 | → |
| Family-based genome-wide association study designs for increased power and robustness. | Guan J et al. | — | 2025 | → |
| Family income and polygenic scores are independently but not interactively associated with cognitive performance among youth genetically similar to European reference populations. | Paul SE et al. | — | 2025 | → |
| Fine-mapping the CYP2A6 regional association with nicotine metabolism among African American smokers. | Pouget JG et al. | — | 2025 | → |
| Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits. | Hu S et al. | — | 2025 | → |
| Forensic Characterization, Genomic Variability and Ancestry Analysis of Six Populations from Odisha Using mtDNA SNPs and Autosomal STRs. | Sequeira JJ et al. | — | 2025 | → |
| From genomics to clinical practice: opportunities and challenges in addressing physical comorbidity in SMI. | Zhang J et al. | — | 2025 | → |
| From individuals to ancestries: Towards attributing trait variation to haplotypes. | Yang Y et al. | — | 2025 | → |
| Gene-Air Pollution Interaction and Diversity of Genetic Sampling: The Southern California Children's Health Study. | Po J et al. | — | 2025 | → |
| Gene-Diet Interactions in Diabetes Mellitus: Current Insights and the Potential of Personalized Nutrition. | Kapellou A et al. | — | 2025 | → |
| Genetic analysis of psychosis Biotypes: shared Ancestry-adjusted polygenic risk and unique genomic associations. | Xia C et al. | — | 2025 | → |
| Genetic ancestry and population structure in the All of Us Research Program cohort. | Sharma S 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 and Epigenetic Approaches to Opioid Use Disorder. | Ranadeva ND et al. | — | 2025 | → |
| Genetic and epigenetic factors shape phenotypes and outcomes in systemic lupus erythematosus - focus on juvenile-onset systemic lupus erythematosus. | Charras A et al. | — | 2025 | → |
| Genetic and neurobiological mechanisms underlying transition in self-injury thoughts and behaviours during adolescence. | Wen X et al. | — | 2025 | → |
| Genetic Architecture of Cerebral White Matter Hyperintensities in Diverse Hispanic/Latino Adults. | Fornage M et al. | — | 2025 | → |
| Genetic disease risks of under-represented founder populations in New York City. | Isshiki M et al. | — | 2025 | → |
| Genetic influences for distinct impulsivity domains are differentially associated with early substance use initiation: Results from the ABCD Study. | Kinstler E et al. | — | 2025 | → |
| Genetic insights into psychotic major depressive disorder: bridging the mood-psychotic disorder spectrum. | Nguyen TD et al. | — | 2025 | → |
| Genetic links between psychological distress, sleep disorders, and sepsis risk: a Mendelian randomization study. | Jiang HF et al. | — | 2025 | → |
| Genetic prediction of early adolescent chronotype: effects of sex and pubertal status. | Hernandez LM et al. | — | 2025 | → |
| Genetic Propensity for Delay Discounting and Educational Attainment in Adults Are Associated With Delay Discounting in Preadolescents: Findings From the Adolescent Brain Cognitive Development Study. | Rabinowitz JA et al. | — | 2025 | → |
| Genetic risk, lifestyle adherence, and risk of developing hyperuricaemia in a Japanese population. | Takase M et al. | — | 2025 | → |
| Genetics and context for precision health in Greater Boston. | Koyama S et al. | — | 2025 | → |
| Genetics and Socioeconomic Status: Some Preliminary Evidence on Mechanisms. | Carvalho LS | — | 2025 | → |
| Genetics of Childhood-Onset Systemic Lupus Erythematosus. | Carlomagno R et al. | — | 2025 | → |
| Genetics of Common Obesity in Children and Adolescents. | León-Reyes G et al. | — | 2025 | → |
| Genetics of Thyroid Function: Relevance for Biology and Disease Management. | Sterenborg RBTM et al. | — | 2025 | → |
| Genetic studies on metabolic disorder-associated kidney diseases. | Imamura M et al. | — | 2025 | → |
| Genetic testing predicts appearance but not behavior in dogs. | Lord KA et al. | — | 2025 | → |
| Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures. | Jee YH et al. | — | 2025 | → |
| Genome-Wide Association Study for Resting Electrocardiogram in the Qatari Population Identifies 6 Novel Genes and Validates Novel Polygenic Risk Scores. | Khan N et al. | — | 2025 | → |
| Genome-wide association study identifies common variants associated with breast cancer in South African Black women. | Hayat M et al. | — | 2025 | → |
| Genome-Wide Association Study Identifying a Novel Gene Related to a History of Febrile Convulsions in Patients With Focal Epilepsy. | Kim J et al. | — | 2025 | → |
| Genome-wide association study of childhood B-cell acute lymphoblastic leukemia reveals novel African ancestry-specific susceptibility loci. | Im C et al. | — | 2025 | → |
| Genomic landscape of cancer in racially and ethnically diverse populations. | Thomas CE et al. | — | 2025 | → |
| Germline Genetic Variant Classification Requires More Equitable Reference Database Representation. | Burstein S et al. | — | 2025 | → |
| Global Diversity in Bipolar Disorder: The Role of Cultural and Social Differences With a View to Genomics. | Fullerton JM et al. | — | 2025 | → |
| Glycometabolic cardiac dysfunction in HFpEF: Lessons from multi-omics studies. | Longo S et al. | — | 2025 | → |
| Guidance for the Clinical Use of the Breast Cancer Polygenic Risk Scores. | Padrik P et al. | — | 2025 | → |
| Heritable polygenic editing: the next frontier in genomic medicine? | Visscher PM et al. | — | 2025 | → |
| Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder. | McGrouther CC et al. | — | 2025 | → |
| How accurate is genomic prediction across wild populations? | Aase K et al. | — | 2025 | → |
| Immune and metabolic disturbance as a function of genetic risk and phase of illness in major depression. | Howard DM et al. | — | 2025 | → |
| Impact of puberty timing, status and oestradiol on psychotic experiences in the context of exposomic and genomic vulnerability to schizophrenia in female adolescents: longitudinal ABCD study. | Pries LK et al. | — | 2025 | → |
| Importance of genetic ancestry in pharmacogenomics for precision medicine. | Venkatesh R et al. | — | 2025 | → |
| Improved allele frequencies in gnomAD through local ancestry inference. | Kore P et al. | — | 2025 | → |
| Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes. | Kunkel D et al. | — | 2025 | → |
| Imputation disparities driven by recent selection and their impact on disease risk estimation in East and Southeast Asian populations. | Li D et al. | — | 2025 | → |
| Incorporating multiple functional annotations to improve polygenic risk prediction accuracy. | Shao Z et al. | — | 2025 | → |
| Incorporating multiracial and multiethnic experiences into genetic counseling practice and research: A necessary opportunity. | Lowe C et al. | — | 2025 | → |
| Independent and joint effects of genomic and exposomic loads for schizophrenia on psychotic experiences in adolescents of European ancestry. | Di Vincenzo M et al. | — | 2025 | → |
| Influence and role of polygenic risk score in the development of 32 complex diseases. | Liu Y et al. | — | 2025 | → |
| Influence of Polygenic Risk on Height and BMI in Adults With a 22q11.2 Microdeletion. | Ying S et al. | — | 2025 | → |
| Influence of race, ethnicity, and sex on the performance of epigenetic predictors of phenotypic traits. | Khodasevich D et al. | — | 2025 | → |
| Insights into ancestral diversity in Parkinson's disease risk: a comparative assessment of polygenic risk scores. | Saffie-Awad P et al. | — | 2025 | → |
| Integrating genetics and transcriptomics to decipher susceptibility genes for risk stratification of gastric cancer and effect modification of Helicobacter pylori treatment. | Yin ZY et al. | — | 2025 | → |
| Integration of biobank-scale genetics and plasma proteomics reveals evidence for causal processes in asthma risk and heterogeneity. | Donoghue LJ et al. | — | 2025 | → |
| Interplay between polygenic risk and family processes in predicting trajectories of adolescent externalizing behaviors. | Su J et al. | — | 2025 | → |
| Intersection of rare pathogenic variants from TCGA in the All of Us Research Program v6. | Bates BA et al. | — | 2025 | → |
| Investigating the role of neighborhood socioeconomic status and germline genetics on prostate cancer risk. | Judd J et al. | — | 2025 | → |
| Investigating the sources of variable impact of pathogenic variants in monogenic metabolic conditions. | Wei A et al. | — | 2025 | → |
| JointPRS: A data-adaptive framework for multi-population genetic risk prediction incorporating genetic correlation. | Xu L et al. | — | 2025 | → |
| Juvenile-onset Systemic Lupus Erythematosus: Recent Advances in Pathogenesis and Treatment. | Natoli V et al. | — | 2025 | → |
| Knowledge, attitudes and demand toward cardiovascular polygenic risk testing in clinical practice: cross-sectional survey of patients. | Brar S et al. | — | 2025 | → |
| Lessons in adjusting for genetic confounding in population research on education and health. | Zacher M et al. | — | 2025 | → |
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| Leveraging the All of Us research program to advance heart, lung, blood, and sleep research. | Grant MG et al. | — | 2025 | → |
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| Migraine and its major subtypes - with and without aura are associated with polygenic scores for autism. | Mohammad S et al. | — | 2025 | → |
| Mitochondrial ancestry from complete mitogenomes highlights a lack of characterization of indigenous haplogroups in Brazilian Amazon population. | de Souza FG et al. | — | 2025 | → |
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| Natural selection acting on complex traits hampers the predictive accuracy of polygenic scores in ancient samples. | Añorve-Garibay V et al. | — | 2025 | → |
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| Next generation sequencing analysis reveals complex genetic architecture of childhood-onset systemic lupus erythematosus. | Lewandowski L et al. | — | 2025 | → |
| Novel Multimodal Precision Medicine Approaches and the Relevance of Developmental Trajectories in Bipolar Disorder. | Smeland OB et al. | — | 2025 | → |
| Novel polygenic risk score associates with diverticulitis in a multi-institutional, ancestrally diverse cohort. | Neylan CJ et al. | — | 2025 | → |
| Obstructive sleep apnea mediates genetic risk of Diabetes Mellitus in Hispanic and Latino communities. | Hrytsenko Y et al. | — | 2025 | → |
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| Performance of cohort-adapted dietary and lifestyle inflammation scores among Hispanic adults. | Merrill LC et al. | — | 2025 | → |
| Performance of Polygenic Risk Scores for Primary Open-Angle Glaucoma in Populations of African Descent. | Chang-Wolf JM et al. | — | 2025 | → |
| Personalization of primary prevention: Exploring the role of coronary artery calcium and polygenic risk score in cardiovascular diseases. | Mekhael M et al. | — | 2025 | → |
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| Polygenic risk discriminates Lewy body dementia from Alzheimer's disease. | McKeever A et al. | — | 2025 | → |
| Polygenic Risk for Substance Use Disorders as Predictors of Substance Use Initiation Among African American Youth. | Sosnowski DW et al. | — | 2025 | → |
| Polygenic Risk Score as a Predictor of Bone Fracture or Osteoporosis in Prostate Cancer Patients Receiving Androgen Deprivation Therapy. | Liu YQ et al. | — | 2025 | → |
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| Racial and Ethnic Considerations for the Clinical Practice of Psychopharmacology and Research Methodology: A Narrative Review of the Growing Body of Literature. | Olagunju AT et al. | — | 2025 | → |
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| SIRT3 mitigates osteoarthritis by suppressing ferroptosis through activating AMPK signaling pathway. | Tian W et al. | — | 2025 | → |
| SLCO1B1 Functional Variants, Bilirubin, Statin-Induced Myotoxicity, and Recent Sub-Saharan African Ancestry: A Precision Medicine Health Equity Study. | Haldar T et al. | — | 2025 | → |
| Social and Behavioral Genomics: On the Ethics of the Research and Its Downstream Applications. | Martschenko DO et al. | — | 2025 | → |
| Socioeconomic deprivation performs equally to race in the Pediatric Asthma Risk Score. | Biagini JM et al. | — | 2025 | → |
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| Standardization, Education, and Resourcing: The Way Forward for Implementing Polygenic Risk Scores in Hereditary Breast and Ovarian Cancer. | Purvis R et al. | — | 2025 | → |
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| Systematic Review and Meta-Analysis: Phenotypic Correlates of the Autism Polygenic Score. | de Wit MM et al. | — | 2025 | → |
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| The breadth and impact of the Global Lipids Genetics Consortium. | Dron JS et al. | — | 2025 | → |
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| The Impact of Polygenic Risk, Parental Separation, and Parental Relationship Discord on Heavy Episodic Drinking Across Adolescence and Young Adulthood in a High-Risk Sample. | Kuo SI et al. | — | 2025 | → |
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| Type 2 Diabetes Polygenic Risk Score Interactions with Lifestyle Risk Factors in Black Americans. | Scadden AW et al. | — | 2025 | → |
| Uncovering Genetic Variation in Systemic Lupus Erythematosus Risk Variants in Indigenous Peruvians. | Lanata CM et al. | — | 2025 | → |
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| Understanding Atopic Dermatitis in Asian and European Population Cohorts Using Complementary Omics Techniques. | Yew YW et al. | — | 2025 | → |
| Unresolved ethical issues of genetic counseling and testing in clinical psychiatry. | Perry J et al. | — | 2025 | → |
| Update on the genetics of allergic diseases. | Lawson LP et al. | — | 2025 | → |
| Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes. | Barnett EJ et al. | — | 2025 | → |
| Variant classification of hereditary cancer genes is affected by genomic underrepresentation of admixed populations. | Bianco BCF et al. | — | 2025 | → |
| What Is Fair? Defining Fairness in Machine Learning for Health. | Gao J et al. | — | 2025 | → |
| What's counted counts: the implications of underrepresentation for the application of epigenetic clocks in diverse populations. | Gibbs SFP et al. | — | 2025 | → |
| Who is Willing to Participate in Genetic Research? Exploring Barriers and Predictors. | O'Connor SM et al. | — | 2025 | → |
| Whole exome sequencing identifies FANCM as a susceptibility gene for estrogen-receptor-negative breast cancer in Hispanic/Latina women. | Nierenberg JL et al. | — | 2025 | → |
| Whole-genome sequencing identifies novel loci for keratoconus and facilitates risk stratification in a Han Chinese population. | Yao Y et al. | — | 2025 | → |
| Whole-genome sequencing reveals rare and structural variants contributing to psoriasis and identifies CERCAM as a risk gene. | Sonehara K et al. | — | 2025 | → |
| Why Do Association Studies? | Abacan MAR | — | 2025 | → |
| A 30-nation investigation of lay heritability beliefs. | Ferris LJ et al. | — | 2024 | → |
| A combination of red and processed meat intake and polygenic risk score influences the incidence of hyperuricemia in middle-aged Korean adults. | Lee S et al. | — | 2024 | → |
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| A Guide to Understanding Mendelian Randomization Studies. | Nguyen K et al. | — | 2024 | → |
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| A Just Genomics Needs an ELSI of Translation. | Halley MC et al. | — | 2024 | → |
| Alcohol milestones and internalizing, externalizing, and executive function: longitudinal and polygenic score associations. | Paul SE et al. | — | 2024 | → |
| Alcohol Use Disorder Polygenic Risk Scores and Trajectories of Early Adolescent Externalizing Behaviors: Examining the Role of Parenting and Family Conflict in the Racially/Ethnically Diverse ABCD Sample. | Trevino AD et al. | — | 2024 | → |
| Algorithms for the identification of prevalent diabetes in the All of Us Research Program validated using polygenic scores. | Szczerbinski L et al. | — | 2024 | → |
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| Ancestral genetic components are consistently associated with the complex trait landscape in European biobanks. | Pankratov V et al. | — | 2024 | → |
| Ancestry-aligned polygenic scores combined with conventional risk factors improve prediction of cardiometabolic outcomes in African populations. | Kamp M et al. | — | 2024 | → |
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| Assessing the predictive efficacy of European-based systolic blood pressure polygenic risk scores in diverse Brazilian cohorts. | Teixeira SK et al. | — | 2024 | → |
| Assessing the Risk Stratification of Breast Cancer Polygenic Risk Scores in a Brazilian Cohort. | Barreiro RAS et al. | — | 2024 | → |
| Association between a polygenic lipodystrophy genetic risk score and diabetes risk in the high prevalence Maltese population. | Zammit M et al. | — | 2024 | → |
| Association of polygenic scores for autism with volumetric MRI phenotypes in cerebellum and brainstem in adults. | Mohammad S et al. | — | 2024 | → |
| Associations between polygenic risk scores for cardiometabolic phenotypes and adolescent depression and body dissatisfaction. | Ekberg KM et al. | — | 2024 | → |
| Associations between polygenic scores for cognitive and non-cognitive factors of educational attainment and measures of behavior, psychopathology, and neuroimaging in the adolescent brain cognitive development study. | Gorelik AJ et al. | — | 2024 | → |
| Associations of combined genetic and lifestyle risks with hypertension and home hypertension. | Takase M et al. | — | 2024 | → |
| A systematic evaluation of the performance and properties of the UK Biobank Polygenic Risk Score (PRS) Release. | Thompson DJ et al. | — | 2024 | → |
| A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk. | Jermy B et al. | — | 2024 | → |
| Bayesian approach to assessing population differences in genetic risk of disease with application to prostate cancer. | Timmins IR et al. | — | 2024 | → |
| Benchmarking multi-ancestry prostate cancer polygenic risk scores in a real-world cohort. | Shah Y et al. | — | 2024 | → |
| Biomedical Data Science, Artificial Intelligence, and Ethics: Navigating Challenges in the Face of Explosive Growth. | Federico CA et al. | — | 2024 | → |
| Body mass index stratification optimizes polygenic prediction of type 2 diabetes in cross-biobank analyses. | Ojima T et al. | — | 2024 | → |
| Brain cell-type shifts in Alzheimer's disease, autism, and schizophrenia interrogated using methylomics and genetics. | Yap CX et al. | — | 2024 | → |
| BRCA1, BRCA2, and Associated Cancer Risks and Management for Male Patients: A Review. | Cheng HH et al. | — | 2024 | → |
| Calibrated prediction intervals for polygenic scores across diverse contexts. | Hou K et al. | — | 2024 | → |
| Can Open Science Advance Health Justice? Genomic Research Dissemination in the Evolving Data-Sharing Landscape. | Kraft SA et al. | — | 2024 | → |
| Causal inference in health and disease: a review of the principles and applications of Mendelian randomization. | Lovegrove CE et al. | — | 2024 | → |
| Challenges in Implementing Comprehensive Precision Medicine Screening for Ovarian Cancer. | Moffitt LR et al. | — | 2024 | → |
| Characterizing genetic pathways unique to autism spectrum disorder at multiple levels of biological analysis. | Schaffer LS et al. | — | 2024 | → |
| Characterizing the genetic architecture of drug response using gene-context interaction methods. | Sadowski M et al. | — | 2024 | → |
| Charting a landmark-driven path forward for population genetics and ancient DNA research in Africa. | Sawchuk EA et al. | — | 2024 | → |
| Childhood maltreatment and health in the UK Biobank: triangulation of outcome-wide and polygenic risk score analyses. | Espinosa Dice AL et al. | — | 2024 | → |
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| Clinical utility of polygenic risk scores for embryo selection: A points to consider statement of the American College of Medical Genetics and Genomics (ACMG). | Grebe TA et al. | — | 2024 | → |
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| Commonly used genomic arrays may lose information due to imperfect coverage of discovered variants for autism spectrum disorder. | Yao M et al. | — | 2024 | → |
| Comparison of Genomic Inflation Estimates in Genome-Wide Association Studies Using Genetically Identified Ancestry vs Self-Identified Race/Ethnicity in Prostate Cancer Patients in ELLIPSE Cohort. | Pagadala MS et al. | — | 2024 | → |
| Complex trait susceptibilities and population diversity in a sample of 4,145 Russians. | Usoltsev D et al. | — | 2024 | → |
| Comprehensive analysis of single-cell transcriptomics and genetic factors reveals the mechanisms and preventive strategies for the progression from pulmonary fibrosis to lung cancer. | Gu J et al. | — | 2024 | → |
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| Contextualizing Race and Ethnicity in the Practice of Laboratory Medicine. | Pierre CC | — | 2024 | → |
| Contribution of circulating Mfge8 to human T2DM and cardiovascular disease. | Rout M et al. | — | 2024 | → |
| Contributions of Polygenic Risk and Disease Status to Gray Matter Abnormalities in Major Depression. | Kämpe R et al. | — | 2024 | → |
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| Cumulative Effects of Resting-State Connectivity Across All Brain Networks Significantly Correlate with Attention-Deficit Hyperactivity Disorder Symptoms. | Mooney MA et al. | — | 2024 | → |
| Deciphering the impact of genomic variation on function. | IGVF Consortium | — | 2024 | → |
| Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. | Liu X et al. | — | 2024 | → |
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| Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies. | Tian J et al. | — | 2024 | → |
| Development of a Breast Cancer Risk Prediction Model Integrating Monogenic, Polygenic, and Epidemiologic Risk. | Kalia SS et al. | — | 2024 | → |
| Differences between male and female height in Early Neolithic Europe are likely to have been driven by culture. | — | — | 2024 | → |
| Differences in metabolomic profiles between Black and White women in the U.S.: Analyses from two prospective cohorts. | McGee EE et al. | — | 2024 | → |
| Dilated Cardiomyopathy: A Genetic Journey from Past to Future. | Newman NA et al. | — | 2024 | → |
| Discovery and prioritization of genetic determinants of kidney function in 297,355 individuals from Taiwan and Japan. | Chen HL et al. | — | 2024 | → |
| Disparities in ABO blood type determination across diverse ancestries: a systematic review and validation in the All of Us Research Program. | Martinez KL et al. | — | 2024 | → |
| Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program. | Verma A et al. | — | 2024 | → |
| Diversity of thought: public perceptions of genetic testing across ethnic groups in the UK. | Harris BHL et al. | — | 2024 | → |
| Dual-systems models of the genetic architecture of impulsive personality traits: neurogenetic evidence of distinct but related factors. | Miller AP et al. | — | 2024 | → |
| Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project. | Kolobkov D et al. | — | 2024 | → |
| Enhancing Equity in Genomics: Incorporating Measures of Structural Racism, Discrimination, and Social Determinants of Health. | Rajagopalan RM et al. | — | 2024 | → |
| Enhancing Genetic Risk Prediction through Federated Semi-Supervised Transfer Learning with Inaccurate Electronic Health Record Data. | Lu Y et al. | — | 2024 | → |
| Enhancing portability of trans-ancestral polygenic risk scores through tissue-specific functional genomic data integration. | Crone B et al. | — | 2024 | → |
| Enhancing the Polygenic Score Catalog with tools for score calculation and ancestry normalization. | Lambert SA et al. | — | 2024 | → |
| Ensuring Equity, Diversity, and Inclusiveness in Genetic Analysis Will Empower the Future of Precision Medicine. | Brunt KR et al. | — | 2024 | → |
| Estimating trans-ancestry genetic correlation with unbalanced data resources. | Zhao B et al. | — | 2024 | → |
| Ethical implications of disparities in translation genomic medicine: from research to practice. | Suleman M et al. | — | 2024 | → |
| Etiologic heterogeneity, pleiotropy, and polygenicity in behaviorally defined intellectual and developmental disabilities. | Girault JB et al. | — | 2024 | → |
| Evaluating and improving health equity and fairness of polygenic scores. | Zhang T et al. | — | 2024 | → |
| Evaluating cardiovascular disease risk stratification using multiple-polygenic risk scores and pooled cohort equations: insights from a 17-year longitudinal Korean cohort study. | Park YS et al. | — | 2024 | → |
| Evaluating the Efficacy of Type 2 Diabetes Polygenic Risk Scores in an Independent European Population. | Brīvība M et al. | — | 2024 | → |
| Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning. | Monti R et al. | — | 2024 | → |
| Examining the Performance of Polygenic Risk Scores for Alzheimer Disease Within and Across Populations Using <i>k</i>-Fold Cross-Validation. | Osterman MD et al. | — | 2024 | → |
| Exploring the genetic prediction of academic underachievement and overachievement. | Kawakami K 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 | → |
| Exploring the role of underrepresented populations in polygenic risk scores for neurodegenerative disease risk prediction. | Step K et al. | — | 2024 | → |
| Familial coaggregation and shared genetic influence between major depressive disorder and gynecological diseases. | Chen CY et al. | — | 2024 | → |
| From Atherosclerosis to Spontaneous Coronary Artery Dissection: Defining a Clinical and Genetic Risk Spectrum for Myocardial Infarction. | Katz AE et al. | — | 2024 | → |
| Future implications of polygenic risk scores for life insurance underwriting. | Yanes T et al. | — | 2024 | → |
| Gene-environment interactions within a precision environmental health framework. | Motsinger-Reif AA et al. | — | 2024 | → |
| Generalizability of polygenic prediction models: how is the R<sup>2</sup> defined on test data? | Staerk C et al. | — | 2024 | → |
| Generalized genetic liability to substance use disorders. | Miller AP et al. | — | 2024 | → |
| Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactions. | Wang J et al. | — | 2024 | → |
| Genetically determined telomere length and its association with chronic obstructive pulmonary disease and interstitial lung disease in biobank Japan: A Mendelian randomization study. | Zhu Y et al. | — | 2024 | → |
| Genetic Ancestry and Self-Reported "Skin Color/Race" in the Urban Admixed Population of São Paulo City, Brazil. | Pereira JL et al. | — | 2024 | → |
| Genetic and molecular architecture of complex traits. | Lappalainen T et al. | — | 2024 | → |
| Genetic architecture and socio-environmental risk factors for major depressive disorder in Nepal. | Choi KW et al. | — | 2024 | → |
| Genetic architecture distinguishes tinnitus from hearing loss. | Clifford RE et al. | — | 2024 | → |
| Genetic association between post-traumatic stress disorder and cardiovascular disease: A scoping review. | Lim A 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 distance and ancestry proportion modify the association between maternal genetic risk score of type 2 diabetes and fetal growth. | Habtewold TD et al. | — | 2024 | → |
| Genetic endowments for social capital: An investigation accounting for genetic nurturing effects. | Lebenbaum M et al. | — | 2024 | → |
| Genetic influences on alcohol sensitivity: A critical review. | Yeung EW et al. | — | 2024 | → |
| Genetic influences on depression and selection into adverse life experiences. | Rauf T et al. | — | 2024 | → |
| Genetic Researchers' Use of and Interest in Research With Diverse Ancestral Groups. | Jaffe K et al. | — | 2024 | → |
| Genetic Risk, Healthy Lifestyle Adherence, and Risk of Developing Diabetes in the Japanese Population. | Takase M et al. | — | 2024 | → |
| Genetic Risk Stratification of Primary Open-Angle Glaucoma in Japanese Individuals. | Akiyama M et al. | — | 2024 | → |
| Genetics, epigenetics, and neurobiology of childhood-onset depression: an umbrella review. | Singh MK et al. | — | 2024 | → |
| Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas. | Borda V et al. | — | 2024 | → |
| Genetic studies of type 2 diabetes, and microvascular complications of diabetes. | Imamura M et al. | — | 2024 | → |
| Genetic vulnerability and adverse mental health outcomes following mild traumatic brain injury: a meta-analysis of CENTER-TBI and TRACK-TBI cohorts. | Kals M et al. | — | 2024 | → |
| Genome-Wide Architecture of East Asian Patients With Migraine: A Genome-Wide Association Study Based on Familial History. | Kim J et al. | — | 2024 | → |
| Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction. | Jia G et al. | — | 2024 | → |
| Genome wide association study and genomic risk prediction of age related macular degeneration in Israel. | Grunin M et al. | — | 2024 | → |
| Genome-Wide Association Study Identifies Pharmacogenomic Variants Associated With Metformin Glycemic Response in African American Patients With Type 2 Diabetes. | Wu B et al. | — | 2024 | → |
| Genome-wide association study on meningioma risk in Japan: a multicenter prospective study. | Yamada S et al. | — | 2024 | → |
| Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas. | Hughes O et al. | — | 2024 | → |
| Genotype × environment interactions in gene regulation and complex traits. | Boye C et al. | — | 2024 | → |
| Germline Genetic Associations for Hepatobiliary Cancers. | Chotiprasidhi P et al. | — | 2024 | → |
| GWAS breakthroughs: mapping the journey from one locus to 393 significant coronary artery disease associations. | Aherrahrou R et al. | — | 2024 | → |
| Haplotype-aware modeling of cis-regulatory effects highlights the gaps remaining in eQTL data. | Ehsan N et al. | — | 2024 | → |
| Harnessing population diversity: in search of tools of the trade. | Bzdok D et al. | — | 2024 | → |
| How can quantum computing be applied in clinical trial design and optimization? | Doga H et al. | — | 2024 | → |
| Identification of germline population variants misclassified as cancer-associated somatic variants. | Pollard RD et al. | — | 2024 | → |
| Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI. | Sun Q et al. | — | 2024 | → |
| Imputation Server PGS: an automated approach to calculate polygenic risk scores on imputation servers. | Forer L et al. | — | 2024 | → |
| Incorporating polygenic risk into the Leicester Risk Assessment score for 10-year risk prediction of type 2 diabetes. | Liu X et al. | — | 2024 | → |
| Individual Trajectories of Depressive Symptoms Within Racially-Ethnically Diverse Youth: Associations with Polygenic Risk for Depression and Substance Use Intent and Perceived Harm. | Elam KK et al. | — | 2024 | → |
| Inflammation and immune system pathways as biological signatures of adolescent depression-the IDEA-RiSCo study. | Zonca V et al. | — | 2024 | → |
| Integrating a Polygenic Risk Score into a clinical setting would impact risk predictions in familial breast cancer. | Baliakas P et al. | — | 2024 | → |
| Integrating polygenic risk scores in the prediction of gestational diabetes risk in China. | Cheng J et al. | — | 2024 | → |
| Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases. | Truong B et al. | — | 2024 | → |
| Interaction of family SES with children's genetic propensity for cognitive and noncognitive skills: No evidence of the Scarr-Rowe hypothesis for educational outcomes. | Ghirardi G et al. | — | 2024 | → |
| Interactions between Polygenic Risk of Obesity and Dietary Factors on Anthropometric Outcomes: A Systematic Review and Meta-Analysis of Observational Studies. | Han HY et al. | — | 2024 | → |
| Interrogating the Value of Return of Results for Diverse Populations: Perspectives from Precision Medicine Researchers. | McMahon CE et al. | — | 2024 | → |
| Key contextual factors involved with participation in medical and genomic screening and research for African American and White Americans: a qualitative inquiry. | Smith CL et al. | — | 2024 | → |
| Large-scale cross-ancestry genome-wide meta-analysis of serum urate. | Cho C et al. | — | 2024 | → |
| Latin American Trans-ancestry INitiative for OCD genomics (LATINO): Study protocol. | Crowley JJ et al. | — | 2024 | → |
| Lessons and Applications of Omics Research in Diabetes Epidemiology. | Yu G 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 | → |
| Low-frequency and rare genetic variants associated with rheumatoid arthritis risk. | Kronzer VL et al. | — | 2024 | → |
| Lymphocyte Count Derived Polygenic Score and Interindividual Variability in CD4 T-cell Recovery in Response to Antiretroviral Therapy. | Cardone KM et al. | — | 2024 | → |
| Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations. | Bonet D et al. | — | 2024 | → |
| Managing differential performance of polygenic risk scores across groups: Real-world experience of the eMERGE Network. | Lewis ACF et al. | — | 2024 | → |
| Mapping potential pathways from polygenic liability through brain structure to psychological problems across the transition to adolescence. | Lahey BB et al. | — | 2024 | → |
| Mapping the relative accuracy of cross-ancestry prediction. | Lupi AS et al. | — | 2024 | → |
| Methodologies underpinning polygenic risk scores estimation: a comprehensive overview. | Ndong Sima CAA et al. | — | 2024 | → |
| Multi-ancestry polygenic mechanisms of type 2 diabetes. | Smith K et al. | — | 2024 | → |
| Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization. | Smith JL et al. | — | 2024 | → |
| Multiancestry transferability of a polygenic risk score for diverticulitis. | Ueland TE et al. | — | 2024 | → |
| Multi-Omic Blood Biomarkers as Dynamic Risk Predictors in Late-Onset Alzheimer's Disease. | Bhalala OG et al. | — | 2024 | → |
| Multi-omics based artificial intelligence for cancer research. | Li L et al. | — | 2024 | → |
| Multi-trait GWAS for diverse ancestries: mapping the knowledge gap. | Troubat L et al. | — | 2024 | → |
| No evidence that ACE2 or TMPRSS2 drive population disparity in COVID risks. | Pearson NM et al. | — | 2024 | → |
| Novel ancestry-specific primary open-angle glaucoma loci and shared biology with vascular mechanisms and cell proliferation. | Lo Faro V et al. | — | 2024 | → |
| Nursing strategies to address health disparities in genomics-informed care: a scoping review. | Limoges J et al. | — | 2024 | → |
| Open Science Practices in Psychiatric Genetics: A Primer. | Kępińska AP et al. | — | 2024 | → |
| Optimizing and benchmarking polygenic risk scores with GWAS summary statistics. | Zhao Z et al. | — | 2024 | → |
| Optimizing clinico-genomic disease prediction across ancestries: a machine learning strategy with Pareto improvement. | Gao Y et al. | — | 2024 | → |
| Parallel Evolution at the Regulatory Base-Pair Level Contributes to Mammalian Interspecific Differences in Polygenic Traits. | Okamoto AS et al. | — | 2024 | → |
| Parkinson Disease Genetics Extended to African and Hispanic Ancestries in the VA Million Veteran Program. | Pankratz N et al. | — | 2024 | → |
| Participant-guided development of bilingual genomic educational infographics for Electronic Medical Records and Genomics Phase IV study. | Casillan A et al. | — | 2024 | → |
| Patterns of pharmacogenetic variation in nine biogeographic groups. | Hernandez S et al. | — | 2024 | → |
| Perspectives on genetic studies of type 2 diabetes from the genome-wide association studies era to precision medicine. | Imamura M et al. | — | 2024 | → |
| Pharmacogenomic scores in psychiatry: systematic review of current evidence. | Sharew NT et al. | — | 2024 | → |
| Pharmacogenomics polygenic risk score: Ready or not for prime time? | Singh S et al. | — | 2024 | → |
| Phenotypic and ancestry-related assortative mating in autism. | Zhang J et al. | — | 2024 | → |
| Polygenic effects on the risk of Alzheimer's disease in the Japanese population. | Kikuchi M et al. | — | 2024 | → |
| Polygenic Indices (a.k.a. Polygenic Scores) in Social Science: A Guide for Interpretation and Evaluation. | Burt CH | — | 2024 | → |
| Polygenic liability for anxiety in association with comorbid anxiety in multiple sclerosis. | Kowalec K 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 for Type 2 Diabetes in African Americans. | Irvin MR et al. | — | 2024 | → |
| Polygenic Risk Score Assessment for Coronary Artery Disease in Asian Indians. | Rout M et al. | — | 2024 | → |
| Polygenic Risk Score Associates With Atherosclerotic Plaque Characteristics at Autopsy. | Cornelissen A et al. | — | 2024 | → |
| Polygenic risk score for ulcerative colitis predicts immune checkpoint inhibitor-mediated colitis. | Middha P et al. | — | 2024 | → |
| Polygenic Risk Score Improves Melanoma Risk Assessment in a Patient Cohort from the Veneto Region of Italy. | Pellegrini S et al. | — | 2024 | → |
| Polygenic risk score model for renal cell carcinoma in the Korean population and relationship with lifestyle-associated factors. | Hong JY et al. | — | 2024 | → |
| Polygenic risk score portability for common diseases across genetically diverse populations. | Moreno-Grau S et al. | — | 2024 | → |
| Polygenic risk scores as a marker for epilepsy risk across lifetime and after unspecified seizure events. | Heyne HO et al. | — | 2024 | → |
| Polygenic risk scores for autoimmune related diseases are significantly different in cancer exceptional responders. | Chen S et al. | — | 2024 | → |
| Polygenic risk scores for cardiometabolic traits demonstrate importance of ancestry for predictive precision medicine. | Kember RL et al. | — | 2024 | → |
| Polygenic risk scores, radiation treatment exposures and subsequent cancer risk in childhood cancer survivors. | Gibson TM et al. | — | 2024 | → |
| Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction. | Yiangou K et al. | — | 2024 | → |
| Polygenic Scores and Preclinical Cardiovascular Disease in Individuals With HIV: Insights From the REPRIEVE Trial. | Zou RS et al. | — | 2024 | → |
| Poly-omic risk scores predict inflammatory bowel disease diagnosis. | Arehart CH et al. | — | 2024 | → |
| PopGenAdapt: Semi-Supervised Domain Adaptation for Genotype-to-Phenotype Prediction in Underrepresented Populations. | Comajoan Cara M et al. | — | 2024 | → |
| Potential for Bridging Treatment Gaps in Cardiovascular Health in Asia With Inclusive Clinical Trials. | Patel AP | — | 2024 | → |
| Precision Medicine-Are We There Yet? A Narrative Review of Precision Medicine's Applicability in Primary Care. | Evans W et al. | — | 2024 | → |
| Precision Medicine for Cardiovascular Prevention and Population Health: A Bridge Too Far? | Giugni FR et al. | — | 2024 | → |
| Precision public health in the era of genomics and big data. | Roberts MC et al. | — | 2024 | → |
| Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation. | Carey CE et al. | — | 2024 | → |
| Principles and methods for transferring polygenic risk scores across global populations. | Kachuri L et al. | — | 2024 | → |
| Progress and Implications from Genetic Studies of Bipolar Disorder. | Kong L et al. | — | 2024 | → |
| Protein-truncating variant in APOL3 increases chronic kidney disease risk in epistasis with APOL1 risk alleles. | Zhang DY et al. | — | 2024 | → |
| Psychiatric Polygenic Risk Scores Across Youth With Bipolar Disorder, Youth at High Risk for Bipolar Disorder, and Controls. | Jiang X et al. | — | 2024 | → |
| Public Attitudes, Interests, and Concerns Regarding Polygenic Embryo Screening. | Furrer RA et al. | — | 2024 | → |
| Racial and ethnic socioenvironmental inequity and neuroimaging in psychiatry: a brief review of the past and recommendations for the future. | Harnett NG et al. | — | 2024 | → |
| Recent advances in polygenic scores: translation, equitability, methods and FAIR tools. | Xiang R et al. | — | 2024 | → |
| Reinvigoration of a Diversity, Equity, and Inclusion Committee at the Institute for Behavioral Genetics: Student-driven Progress. | Paulich KN et al. | — | 2024 | → |
| Return of polygenic risk scores in research: Stakeholders' views on the eMERGE-IV study. | Sabatello M et al. | — | 2024 | → |
| Rhinovirus infection of airway epithelial cells uncovers the non-ciliated subset as a likely driver of genetic risk to childhood-onset asthma. | Djeddi S et al. | — | 2024 | → |
| Risk Score for Long-Term Survival and Major Adverse Cardiovascular and Cerebrovascular Events After Coronary Artery Bypass Grafting Surgery. | Dokollari A et al. | — | 2024 | → |
| Schoolhouse risk: Can we mitigate the polygenic Pygmalion effect? | Matthews LJ et al. | — | 2024 | → |
| Screening embryos for polygenic disease risk: a review of epidemiological, clinical, and ethical considerations. | Capalbo A et al. | — | 2024 | → |
| Secondary (additional) findings from the 100,000 Genomes Project: Disease manifestation, health care outcomes, and costs of disclosure. | Nolan J et al. | — | 2024 | → |
| Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations. | Lennon NJ et al. | — | 2024 | → |
| Single-Ancestry versus Multi-Ancestry Polygenic Risk Scores for CKD in Black American Populations. | Jones AC et al. | — | 2024 | → |
| Single-nucleotide variant calling in single-cell sequencing data with Monopogen. | Dou J et al. | — | 2024 | → |
| Social and Behavioral Genomics: What Does It Mean for Pediatrics? | Martschenko DO et al. | — | 2024 | → |
| Socio-cultural practices may have affected sex differences in stature in Early Neolithic Europe. | Cox SL et al. | — | 2024 | → |
| Stratifying early-onset emotional disorders: using genetics to assess persistence in young people of European and South Asian ancestry. | Dennison CA et al. | — | 2024 | → |
| Systematic exploration of a decade of publications on psychiatric genetics in Latin America. | Garro-Núñez D et al. | — | 2024 | → |
| Taking the risk. A systematic review of ethical reasons and moral arguments in the clinical use of polygenic risk scores. | Andreoli L et al. | — | 2024 | → |
| The Add Health Parent Study: A Biosocial Resource for the Study of Multigenerational Racial/Ethnic Disparities in Alzheimer's Disease and Alzheimer's Disease-Related Dementias. | Perreira KM et al. | — | 2024 | → |
| The All of Us Research Program is an opportunity to enhance the diversity of US biomedical research. | Bianchi DW et al. | — | 2024 | → |
| The association between DNA methylation and human height and a prospective model of DNA methylation-based height prediction. | Wang Z et al. | — | 2024 | → |
| The effect of heavy smoking on retirement risk: A mendelian randomisation analysis. | Gaggero A et al. | — | 2024 | → |
| The evolving profile of eating disorders and their treatment in a changing and globalised world. | Himmerich H et al. | — | 2024 | → |
| The first genome-wide association study in the Argentinian and Chilean populations identifies shared genetics with Europeans in Alzheimer's disease. | Dalmasso MC et al. | — | 2024 | → |
| The Genetic Drivers of Juvenile, Young, and Early-Onset Parkinson's Disease in India. | Andrews SV et al. | — | 2024 | → |
| The Heritability of Psychopathology Symptoms in Early Adolescence: Moderation by Family Cultural Values in the ABCD Study. | Rea-Sandin G et al. | — | 2024 | → |
| The importance of diverse multiomics datasets and analyses. | Rasmussen-Torvik LJ | — | 2024 | → |
| The importance of functional genomics studies in precision rheumatology. | Piedade AP et al. | — | 2024 | → |
| The Inclusion of Underrepresented Populations in Cardiovascular Genetics and Epidemiology. | Chappell E et al. | — | 2024 | → |
| The Mexican Biobank Project promotes genetic discovery, inclusive science and local capacity building. | Sohail M et al. | — | 2024 | → |
| The Need to Enrich Population Diversity in Radiogenomic Research. | Rosenstein BS et al. | — | 2024 | → |
| The power of representation: Statistical analysis of diversity in US Alzheimer's disease genetics data. | Xue D et al. | — | 2024 | → |
| The predictive capacity of polygenic risk scores for disease risk is only moderately influenced by imputation panels tailored to the target population. | Levi H et al. | — | 2024 | → |
| The PRIMED Consortium: Reducing disparities in polygenic risk assessment. | Kullo IJ et al. | — | 2024 | → |
| The researcher's guide to selecting biomarkers in mental health studies. | Verhoeven JE et al. | — | 2024 | → |
| The Role of Genetics in Managing Peripheral Arterial Disease. | Biagetti G et al. | — | 2024 | → |
| The Role of Genetic Testing in Adult CKD. | Knoers NVAM et al. | — | 2024 | → |
| The transition from genomics to phenomics in personalized population health. | Yurkovich JT et al. | — | 2024 | → |
| The Use of Precision Epigenetic Methods for the Diagnosis and Care of Stable Coronary Heart Disease Reduces Healthcare Costs. | Frisvold D et al. | — | 2024 | → |
| Thyroid Cancer Polygenic Risk Score Improves Classification of Thyroid Nodules as Benign or Malignant. | Pozdeyev N et al. | — | 2024 | → |
| Towards equitable brain genomics research, for us by us. | Dzirasa K et al. | — | 2024 | → |
| Trans-Ancestral Genetic Risk Factors for Treatment-Related Type 2 Diabetes Mellitus in Survivors of Childhood Cancer. | Im C et al. | — | 2024 | → |
| TwinsMX: Exploring the Genetic and Environmental Influences on Health Traits in the Mexican Population. | García-Vilchis B et al. | — | 2024 | → |
| Type 1 diabetes genetic risk score variation across ancestries using whole genome sequencing and array-based approaches. | Arni AM et al. | — | 2024 | → |
| Uncovering the genetic basis of Parkinson's disease globally: from discoveries to the clinic. | Lim SY et al. | — | 2024 | → |
| Underrepresentation of Diverse Ancestries Drives Uncertainty in Genetic Variants Found in Cardiomyopathy-Associated Genes. | Rosamilia MB et al. | — | 2024 | → |
| Unlocking the future of complex human diseases prediction: multi-omics risk score breakthrough. | Kidenya BR et al. | — | 2024 | → |
| Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes. | Ping J et al. | — | 2024 | → |
| Using multiplexed functional data to reduce variant classification inequities in underrepresented populations. | Dawood M et al. | — | 2024 | → |
| Validating a model for predicting breast cancer and nonbreast cancer death in women aged 55 years and older. | Wolfson EA et al. | — | 2024 | → |
| Validity of European-centric cardiometabolic polygenic scores in multi-ancestry populations. | Topriceanu CC et al. | — | 2024 | → |
| Variability in performance of genetic-enhanced DXA-BMD prediction models across diverse ethnic and geographic populations: A risk prediction study. | Liu Y 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 | → |
| We need more-diverse biobanks to improve behavioural genetics. | He Y et al. | — | 2024 | → |
| Where are the inequalities in colorectal cancer care in a country with universal healthcare? A systematic review and narrative synthesis. | Pickwell-Smith BA et al. | — | 2024 | → |
| 10 Years of GWAS in intraocular pressure. | Gao XR et al. | — | 2023 | → |
| ABCD Behavior Genetics: Twin, Family, and Genomic Studies Using the Adolescent Brain Cognitive Development (ABCD) Study Dataset. | Wilson S et al. | — | 2023 | → |
| A continuous measure for understanding the accuracy of genetically based predictions. | — | — | 2023 | → |
| Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective. | Gao Y et al. | — | 2023 | → |
| Addressing the ethical and societal challenges posed by genome-wide association studies of behavioral and brain-related traits. | de Hemptinne MC et al. | — | 2023 | → |
| Advancements in the Genetics of Spontaneous Coronary Artery Dissection. | Katz AE et al. | — | 2023 | → |
| Advances and Challenges for GWAS Analysis in Cardiac Diseases: A Focus on Coronary Artery Disease (CAD). | Khan SU et al. | — | 2023 | → |
| AI-based multi-PRS models outperform classical single-PRS models. | Klau JH et al. | — | 2023 | → |
| AI-driven risk scores: should social scoring and polygenic scores based on ethnicity be equally prohibited? | Raz A et al. | — | 2023 | → |
| Alcohol use polygenic risk score, social support, and alcohol use among European American and African American adults. | Su J et al. | — | 2023 | → |
| Algorithmic fairness in artificial intelligence for medicine and healthcare. | Chen RJ et al. | — | 2023 | → |
| A longitudinal study of polygenic score and cognitive function decline considering baseline cognitive function, lifestyle behaviors, and diabetes among middle-aged and older US adults. | Liu T et al. | — | 2023 | → |
| A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease. | Patel AP et al. | — | 2023 | → |
| Analysis across Taiwan Biobank, Biobank Japan, and UK Biobank identifies hundreds of novel loci for 36 quantitative traits. | Chen CY et al. | — | 2023 | → |
| An atlas of genetic scores to predict multi-omic traits. | Xu Y et al. | — | 2023 | → |
| Ancestral diversity in lipoprotein(a) studies helps address evidence gaps. | Lee MP et al. | — | 2023 | → |
| A new method for multiancestry polygenic prediction improves performance across diverse populations. | Zhang H et al. | — | 2023 | → |
| A person-centered data analytic approach to dopaminergic polygenic moderation of child maltreatment exposure. | Handley ED et al. | — | 2023 | → |
| A Phenome-Wide Association Study (PheWAS) of Late Onset Alzheimer Disease Genetic Risk in Children of European Ancestry at Middle Childhood: Results from the ABCD Study. | Gorelik AJ et al. | — | 2023 | → |
| Approach to Clinical Trials for the Prevention of Pulmonary Fibrosis. | Kim JS et al. | — | 2023 | → |
| A review of genetic risk in systemic lupus erythematosus. | Guga S et al. | — | 2023 | → |
| Are we nearly there yet? Starts and stops on the road to use of polygenic scores. | Moorthie S et al. | — | 2023 | → |
| Assessing efficiency of fine-mapping obesity-associated variants through leveraging ancestry architecture and functional annotation using PAGE and UKBB cohorts. | Anwar MY et al. | — | 2023 | → |
| Assessing the prediction of type 2 diabetes risk using polygenic and clinical risk scores in South Asian study populations. | Rout M et al. | — | 2023 | → |
| Association and Interaction of Genetics and Area-Level Socioeconomic Factors on the Prevalence of Type 2 Diabetes and Obesity. | Cromer SJ et al. | — | 2023 | → |
| Association of a Polygenic Risk Score With Osteoporosis in People Living With HIV: The Swiss HIV Cohort Study. | Schwenke JM et al. | — | 2023 | → |
| Association of periodontal disease with migraine: A large-scale community-based cross-sectional study. | Chen YJ et al. | — | 2023 | → |
| Associations between polygenic risk score and covid-19 susceptibility and severity across ethnic groups: UK Biobank analysis. | Farooqi R et al. | — | 2023 | → |
| Associations of polygenic risk scores for smoking heaviness and lifetime cannabis use with tobacco and cannabis co-use trajectories among African Americans. | Rabinowitz JA et al. | — | 2023 | → |
| A Systematic Review and Critical Assessment of Breast Cancer Risk Prediction Tools Incorporating a Polygenic Risk Score for the General Population. | Mbuya-Bienge C et al. | — | 2023 | → |
| Atopic Dermatitis Across Shades of Skin. | Quan VL et al. | — | 2023 | → |
| Bacterial Community Modifies Host Genetics Effect on Early Childhood Caries. | Blostein F et al. | — | 2023 | → |
| Beyond borders: A commentary on the benefit of promoting immigrant populations in genome-wide association studies. | Fernández-Rhodes L | — | 2023 | → |
| Biobank-scale inference of ancestral recombination graphs enables genealogical analysis of complex traits. | Zhang BC et al. | — | 2023 | → |
| Biobank-scale methods and projections for sparse polygenic prediction from machine learning. | Raben TG et al. | — | 2023 | → |
| Birthweight, genetic risk, and gastrointestinal cancer incidence: a prospective cohort study. | Long L 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 | → |
| British South Asian ancestry participants views of pharmacogenomics clinical implementation and research: a thematic analysis. | Magavern EF et al. | — | 2023 | → |
| Can polygenic risk scores help explain disease prevalence differences around the world? A worldwide investigation. | Jain PR et al. | — | 2023 | → |
| Cardiomyopathy in Asian Cohorts: Genetic and Epigenetic Insights. | Tan K 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 | → |
| Clinically relevant combined effect of polygenic background, rare pathogenic germline variants, and family history on colorectal cancer incidence. | Hassanin E et al. | — | 2023 | → |
| Clinical, technical, and environmental biases influencing equitable access to clinical genetics/genomics testing: A points to consider statement of the American College of Medical Genetics and Genomics (ACMG). | Matalon DR et al. | — | 2023 | → |
| Clinical utility of polygenic scores for cardiometabolic disease in Arabs. | Shim I et al. | — | 2023 | → |
| ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden. | Sharo AG et al. | — | 2023 | → |
| Combating hypertension beyond genome-wide association studies: Microbiome and artificial intelligence as opportunities for precision medicine. | Aryal 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 | → |
| Comparing Pruning and Thresholding with Continuous Shrinkage Polygenic Score Methods in a Large Sample of Ancestrally Diverse Adolescents from the ABCD Study<sup>®</sup>. | Ahern J et al. | — | 2023 | → |
| Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis. | Sivakumar S et al. | — | 2023 | → |
| Construction and evaluation of the functional polygenic risk score for gastric cancer in a prospective cohort of the European population. | Gu Y et al. | — | 2023 | → |
| Core issues, case studies, and the need for expanded Legacy African American genomics. | Jackson F et al. | — | 2023 | → |
| Coronary Artery Calcium Score and Polygenic Risk Score for the Prediction of Coronary Heart Disease Events. | Khan SS et al. | — | 2023 | → |
| Coronary heart disease and ischemic stroke polygenic risk scores and atherosclerotic cardiovascular disease in a diverse, population-based cohort study. | Bebo A et al. | — | 2023 | → |
| Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D. | Wang X et al. | — | 2023 | → |
| Cross-ancestry genome-wide association meta-analyses of hippocampal and subfield volumes. | Liu N et al. | — | 2023 | → |
| Decoding the genetic relationship between Alzheimer's disease and type 2 diabetes: potential risk variants and future direction for North Africa. | Boukhalfa W et al. | — | 2023 | → |
| Development and Validation of Risk Prediction Models for Colorectal Cancer in Patients with Symptoms. | Xu W et al. | — | 2023 | → |
| Development and validation of the Vanderbilt PRS-KS, an instrument to quantify polygenic risk score knowledge. | Stubbs D et al. | — | 2023 | → |
| Development of risk prediction models for depression combining genetic and early life risk factors. | Lu T et al. | — | 2023 | → |
| Direct-to-consumer genetic tests providing health risk information: A systematic review of consequences for consumers and health services. | Nolan JJ et al. | — | 2023 | → |
| Discovery of target genes and pathways at GWAS loci by pooled single-cell CRISPR screens. | Morris JA et al. | — | 2023 | → |
| Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region. | Caggiano C et al. | — | 2023 | → |
| Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program | Verma A et al. | — | 2023 | — |
| Does ethnicity influence dementia, stroke and mortality risk? Evidence from the UK Biobank. | Bonnechère B et al. | — | 2023 | → |
| Do Polygenic Scores Inform Psychiatric Disease Risk After Considering Family History? | Biernacka JM | — | 2023 | → |
| Enhancing polygenic risk prediction in diverse populations: opportunities and challenges. | — | — | 2023 | → |
| Equity, diversity, and inclusion at the Global Alliance for Genomics and Health. | Skantharajah N et al. | — | 2023 | → |
| Estimation of cross-ancestry genetic correlations within ancestry tracts of admixed samples. | Atkinson EG | — | 2023 | → |
| Evaluating genomic polygenic risk scores for childhood acute lymphoblastic leukemia in Latinos. | Jeon S et al. | — | 2023 | → |
| Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. | Kurniansyah N et al. | — | 2023 | → |
| Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel. | Levi H et al. | — | 2023 | → |
| Evaluation of Large-Scale Proteomics for Prediction of Cardiovascular Events. | Helgason H et al. | — | 2023 | → |
| Evaluation of optimal methods and ancestries for calculating polygenic risk scores in East Asian population. | Kim DJ et al. | — | 2023 | → |
| eXclusionarY: 10 years later, where are the sex chromosomes in GWASs? | Sun L et al. | — | 2023 | → |
| Expanding genetic diversity and polygenic risk scores application in rheumatic disease studies: a call for inclusive research. | Castro-Santos P et al. | — | 2023 | → |
| Extremely sparse models of linkage disequilibrium in ancestrally diverse association studies. | Salehi Nowbandegani P et al. | — | 2023 | → |
| Fast and accurate Bayesian polygenic risk modeling with variational inference. | Zabad S et al. | — | 2023 | → |
| Fixing the Leaky Pipe: How to Improve the Uptake of Patient-Reported Outcomes-Based Prognostic and Predictive Models in Cancer Clinical Practice. | Spencer KL et al. | — | 2023 | → |
| Founder population-specific weights yield improvements in performance of polygenic risk scores for Alzheimer disease in the Midwestern Amish. | Osterman MD et al. | — | 2023 | → |
| From collective health to "personalized" medicine: bioethical challenges in preimplantation genetic testing from a North-South perspective. | Lima NS et al. | — | 2023 | → |
| From target discovery to clinical drug development with human genetics. | Trajanoska K et al. | — | 2023 | → |
| Gene-environment interactions and the effect on obesity risk in low and middle-income countries: a scoping review. | Pledger SL et al. | — | 2023 | → |
| Gene-metabolite annotation with shortest reactional distance enhances metabolite genome-wide association studies results. | Baron C et al. | — | 2023 | → |
| Genetic architecture of the inflammatory bowel diseases across East Asian and European ancestries. | Liu Z et al. | — | 2023 | → |
| Genetic distance informs polygenic score predictive accuracy. | Wojcik GL | — | 2023 | → |
| Genetic patterning for child psychopathology is distinct from that for adults and implicates fetal cerebellar development. | Hughes DE et al. | — | 2023 | → |
| Genetic Prediction of Lifetime Risk of Fracture. | Ho-Le TP et al. | — | 2023 | → |
| Genetic risk prediction in Hispanics/Latinos: milestones, challenges, and social-ethical considerations. | Maldonado BL et al. | — | 2023 | → |
| Genetics and precision health: the ecological fallacy and artificial intelligence solutions. | Williams SM et al. | — | 2023 | → |
| Genetics of Alzheimer's Disease in the African American Population. | Logue MW et al. | — | 2023 | → |
| Genome-wide association analyses identified novel susceptibility loci for pulmonary embolism among Han Chinese population. | Zhang Z et al. | — | 2023 | → |
| Genome-wide association meta-analysis identifies 17 loci associated with nonalcoholic fatty liver disease. | Chen Y et al. | — | 2023 | → |
| Genome-wide association studies of human and rat BMI converge on synapse, epigenome, and hormone signaling networks. | Wright SN et al. | — | 2023 | → |
| Genome-wide association studies: utility and limitations for research in physiology. | Pereira Ciochetti N 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 polygenic risk scores for hypertensive disease during pregnancy can also predict the risk for long-term cardiovascular disease. | Lee SM et al. | — | 2023 | → |
| Genomic findings in schizophrenia and their implications. | Owen MJ et al. | — | 2023 | → |
| Genomic Innovation in Early Life Cardiovascular Disease Prevention and Treatment. | Li C et al. | — | 2023 | → |
| Genomics of Treatable Traits in Asthma. | Espuela-Ortiz A et al. | — | 2023 | → |
| Genotyping and population characteristics of the China Kadoorie Biobank. | Walters RG 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 | → |
| Guiding principles for the responsible development of artificial intelligence tools for healthcare. | Badal K et al. | — | 2023 | → |
| How do experts in psychiatric genetics view the clinical utility of polygenic risk scores for schizophrenia? | Moorthy T et al. | — | 2023 | → |
| Identifying Rare Genetic Determinants for Improved Polygenic Risk Prediction of Bone Mineral Density and Fracture Risk. | Lu T et al. | — | 2023 | → |
| Implementation of Risk-Stratified Breast Cancer Prevention With a Polygenic Risk Score Test in Clinical Practice. | Padrik P et al. | — | 2023 | → |
| Implementing Reporting Standards for Polygenic Risk Scores for Atherosclerotic Cardiovascular Disease. | Smith JL 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 | → |
| Improved genetic prediction of the risk of knee osteoarthritis using the risk factor-based polygenic score. | Morita Y et al. | — | 2023 | → |
| Improving genetic risk prediction across diverse population by disentangling ancestry representations. | Gyawali PK et al. | — | 2023 | → |
| Improving polygenic score prediction for coronary artery disease across populations of diverse ancestry. | — | — | 2023 | → |
| Improving variant calling using population data and deep learning. | Chen NC 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 Diabetes Family History on the Associations of Combined Genetic and Lifestyle Risks with Diabetes in the Tohoku Medical Megabank Community-Based Cohort Study. | Takase M et al. | — | 2023 | → |
| Influences of race and clinical variables on psychiatric genetic research participation: Results from a schizophrenia sample. | Xavier RM et al. | — | 2023 | → |
| Integrating health disparities content into health informatics courses: a cross-sectional survey study and recommendations. | Chen AT et al. | — | 2023 | → |
| Integrating Indices of Genetic Risk for Cardiovascular Disease. | Honigberg MC et al. | — | 2023 | → |
| Integration and implementation of precision medicine in the multifaceted inflammatory bowel disease. | Jagirdhar GSK et al. | — | 2023 | → |
| Integration of Biomarker Polygenic Risk Score Improves Prediction of Coronary Heart Disease. | Lin J et al. | — | 2023 | → |
| Intelligence Polygenic Score Is More Predictive of Crystallized Measures: Evidence From the Adolescent Brain Cognitive Development (ABCD) Study. | Loughnan RJ et al. | — | 2023 | → |
| Interactions Between Genetic Risk and Diet Influencing Risk of Incident Female Gout: Discovery and Replication Analysis of Four Prospective Cohorts. | Lin K et al. | — | 2023 | → |
| Interplay of Mendelian and polygenic risk factors in Arab breast cancer patients. | Al-Jumaan M et al. | — | 2023 | → |
| Investigating effect modification between childhood maltreatment and genetic risk for cardiovascular disease in the UK Biobank. | Urquijo H et al. | — | 2023 | → |
| Leveraging family relatedness to detect participation bias in genetic studies. | Adams MJ | — | 2023 | → |
| Leveraging fine-scale population structures for precision healthcare. | Kanai M | — | 2023 | → |
| Male-pattern hair loss: Comprehensive identification of the associated genes as a basis for understanding pathophysiology. | Henne SK et al. | — | 2023 | → |
| Management of Metabolic-Associated Fatty Liver Disease. | Venkatesan K et al. | — | 2023 | → |
| Mapping the genetic and phenotypic landscape of neonatal C3 and C4 protein concentrations. | Hernandez LM | — | 2023 | → |
| Massive underrepresentation of Arabs in genomic studies of common disease. | Bhattacharya R et al. | — | 2023 | → |
| Maternal depression and the polygenic p factor: A family perspective on direct and indirect effects. | Ayorech Z et al. | — | 2023 | → |
| Microsatellites used in forensics are in regions enriched for trait-associated variants. | Link V et al. | — | 2023 | → |
| Multi-PGS enhances polygenic prediction by combining 937 polygenic scores. | Albiñana C et al. | — | 2023 | → |
| Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations. | Araujo DS et al. | — | 2023 | → |
| Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland. | Hartonen T et al. | — | 2023 | → |
| Neural ADMIXTURE for rapid genomic clustering. | Mantes AD et al. | — | 2023 | → |
| Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort. | He Q et al. | — | 2023 | → |
| New insights from genetic studies of eczema. | Marenholz I et al. | — | 2023 | → |
| Old and new challenges regarding comparable and viable data sharing in population-scale genomic research. | Raz A et al. | — | 2023 | → |
| Optimal strategies for learning multi-ancestry polygenic scores vary across traits. | Lehmann B et al. | — | 2023 | → |
| Overestimated prediction using polygenic prediction derived from summary statistics. | Park DK et al. | — | 2023 | → |
| Pharmacotherapy exposure as a marker of disease complexity in bipolar disorder: Associations with clinical & genetic risk factors. | Sanchez Ruiz JA et al. | — | 2023 | → |
| Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder. | Dahl A et al. | — | 2023 | → |
| Polygenic Background Modifies Risk of Coronary Artery Disease Among Individuals With Heterozygous Familial Hypercholesterolemia. | Reeskamp LF et al. | — | 2023 | → |
| Polygenic Effects on Individual Rule Breaking, Peer Rule Breaking, and Alcohol Sips Across Early Adolescence in the ABCD Study. | Elam KK et al. | — | 2023 | → |
| Polygenic embryo screening: are there potential maternal and fetal harms? | Ginod P et al. | — | 2023 | → |
| Polygenicity of Comorbid Depression in Multiple Sclerosis. | Kowalec K et al. | — | 2023 | → |
| Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology. | Wang Y et al. | — | 2023 | → |
| Polygenic prediction of preeclampsia and gestational hypertension. | Honigberg MC et al. | — | 2023 | → |
| Polygenic Propensity for Longevity, APOE-ε4 Status, Dementia Diagnosis, and Risk for Cause-Specific Mortality: A Large Population-Based Longitudinal Study of Older Adults. | Ajnakina O et al. | — | 2023 | → |
| Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review. | Khanna NN et al. | — | 2023 | → |
| Polygenic Risk Score, Lifestyles, and Type 2 Diabetes Risk: A Prospective Chinese Cohort Study. | Liu J et al. | — | 2023 | → |
| Polygenic risk scores cannot make their mark on psychiatry without considering epigenetics. | Gooding DC et al. | — | 2023 | → |
| Polygenic risk scores for disease risk prediction in Africa: current challenges and future directions. | Fatumo S et al. | — | 2023 | → |
| Polygenic risk scores for prediction of breast cancer in Korean women. | Jee YH et al. | — | 2023 | → |
| Polygenic risk scores for the prediction of common cancers in East Asians: A population-based prospective cohort study. | Ho PJ et al. | — | 2023 | → |
| Polygenic risk scores in pharmacogenomics: opportunities and challenges-a mini review. | Simona A et al. | — | 2023 | → |
| Polygenic scores in cancer. | Yang X 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 | → |
| Power of inclusion: Enhancing polygenic prediction with admixed individuals. | Tanigawa Y et al. | — | 2023 | → |
| Pragmatic Approach to Applying Polygenic Risk Scores to Diverse Populations. | Patel AP et al. | — | 2023 | → |
| Precision medicine in complex diseases-Molecular subgrouping for improved prediction and treatment stratification. | Johansson Å et al. | — | 2023 | → |
| Predicting Heterogeneity in Patient Response to Morphine Treatment for Neonatal Opioid Withdrawal Syndrome. | Smolyak D et al. | — | 2023 | → |
| Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors. | He Y et al. | — | 2023 | → |
| Profiling the inflammatory bowel diseases using genetics, serum biomarkers, and smoking information. | Liu R et al. | — | 2023 | → |
| Pruning and thresholding approach for methylation risk scores in multi-ancestry populations. | Chen J et al. | — | 2023 | → |
| Qualitative assessment of uptake retention and evaluation of prevention materials for skin cancer among Hispanics. | Crowder SL et al. | — | 2023 | → |
| Questionnaire-Based Polyexposure Assessment Outperforms Polygenic Scores for Classification of Type 2 Diabetes in a Multiancestry Cohort. | Akhtari FS et al. | — | 2023 | → |
| Racial disparity in the genomics of precision oncology of prostate cancer. | Le T et al. | — | 2023 | → |
| Rare penetrant mutations confer severe risk of common diseases. | Fiziev PP et al. | — | 2023 | → |
| Realistic expectations are key to realising the benefits of polygenic scores. | Sud A et al. | — | 2023 | → |
| Reply to: Multivariate BWAS can be replicable with moderate sample sizes. | Tervo-Clemmens B et al. | — | 2023 | → |
| Representation of Race and Ethnicity in the Contemporary US Health Cohort All of Us Research Program. | Kathiresan N et al. | — | 2023 | → |
| Research on Health Disparities: Strategies and Findings From the Black Women's Health Study. | Palmer JR et al. | — | 2023 | → |
| Resurrecting the alternative splicing landscape of archaic hominins using machine learning. | Brand CM et al. | — | 2023 | → |
| Rethinking the First Episode of Schizophrenia: Identifying Convergent Mechanisms During Development and Moving Toward Prediction. | Forsyth JK et al. | — | 2023 | → |
| Revealing polygenic pleiotropy using genetic risk scores for asthma. | Dapas M et al. | — | 2023 | → |
| Rye: genetic ancestry inference at biobank scale. | Conley AB et al. | — | 2023 | → |
| Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations. | Liu D et al. | — | 2023 | → |
| SGLT2 Inhibitors in the Treatment of Diabetic Kidney Disease: More than Just Glucose Regulation. | Klen J et al. | — | 2023 | → |
| Shifting the trajectory of therapeutic development for neurological and psychiatric disorders. | Krainc D et al. | — | 2023 | → |
| Strategies for the Genomic Analysis of Admixed Populations. | Tan T et al. | — | 2023 | → |
| Stronger regulation of AI in biomedicine. | Trotsyuk AA et al. | — | 2023 | → |
| Systems genetics identifies miRNA-mediated regulation of host response in COVID-19. | Gjorgjieva T et al. | — | 2023 | → |
| TARGETING UNDERREPRESENTED POPULATIONS IN PRECISION MEDICINE: A FEDERATED TRANSFER LEARNING APPROACH. | Li BS et al. | — | 2023 | → |
| Telomere length associates with chronological age and mortality across racially diverse pulmonary fibrosis cohorts. | Adegunsoye A et al. | — | 2023 | → |
| The Applicability of Polygenic Risk Scores in Under-Represented Populations. | Riefski K et al. | — | 2023 | → |
| The Big (Genetic) Sort? A Research Note on Migration Patterns and Their Genetic Imprint in the United Kingdom. | Furuya S et al. | — | 2023 | → |
| The challenges and prospects of brain-based prediction of behaviour. | Wu J et al. | — | 2023 | → |
| The clinical application of polygenic risk scores: A points to consider statement of the American College of Medical Genetics and Genomics (ACMG). | Abu-El-Haija A et al. | — | 2023 | → |
| The complete and fully-phased diploid genome of a male Han Chinese. | Yang C et al. | — | 2023 | → |
| The end game: respecting major sources of population diversity. | Kopal J et al. | — | 2023 | → |
| The Ethics of Risk Prediction for Psychosis and Suicide Attempt in Youth Mental Health. | Smith WR et al. | — | 2023 | → |
| The genetic contribution to the comorbidity of depression and anxiety: a multi-site electronic health records study of almost 178 000 people. | Coombes BJ et al. | — | 2023 | → |
| The genetics of autism spectrum disorder in an East African familial cohort. | Tuncay IO et al. | — | 2023 | → |
| The GenoVA study: Equitable implementation of a pragmatic randomized trial of polygenic-risk scoring in primary care. | Vassy JL et al. | — | 2023 | → |
| The human pangenome reference anticipates equitable and fundamental genomic insights. | Frazer KA 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 molecular pathology of schizophrenia: an overview of existing knowledge and new directions for future research. | Nakamura T et al. | — | 2023 | → |
| The Need for Diverse Empirical Data to Inform the Use of Polygenic Risk Scores in Prenatal Screening. | Miner SA et al. | — | 2023 | → |
| The shared genetic architecture of smoking behaviours and psychiatric disorders: evidence from a population-based longitudinal study in England. | Ajnakina O et al. | — | 2023 | → |
| The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits. | Costanzo MC et al. | — | 2023 | → |
| The utility of a type 2 diabetes polygenic score in addition to clinical variables for prediction of type 2 diabetes incidence in birth, youth and adult cohorts in an Indigenous study population. | Wedekind LE et al. | — | 2023 | → |
| Trans-ancestry meta-analysis of genome wide association studies of inhibitory control. | Arnatkeviciute A et al. | — | 2023 | → |
| Transdiagnostic biomarkers of mental illness across the lifespan: A systematic review examining the genetic and neural correlates of latent transdiagnostic dimensions of psychopathology in the general population. | Hoy N et al. | — | 2023 | → |
| Trans-ethnic genomic informed risk assessment for Alzheimer's disease: An International Hundred K+ Cohorts Consortium study. | Sleiman PM et al. | — | 2023 | → |
| Translating AI to Clinical Practice: Overcoming Data Shift with Explainability. | Choi Y et al. | — | 2023 | → |
| Understanding inequities in precision oncology diagnostics. | Dutta R et al. | — | 2023 | → |
| Utility of polygenic risk scores in UK cancer screening: a modelling analysis. | Huntley C et al. | — | 2023 | → |
| Utilize polygenic risk score to enhance fracture risk estimation and improve the performance of FRAX in patients with osteoporosis. | Chen 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 | → |
| Validation of a genome-wide polygenic score in improving fracture risk assessment beyond the FRAX tool in the Women's Health Initiative study. | Xiao X et al. | — | 2023 | → |
| Validation of lung cancer polygenic risk scores in a high-risk case-control cohort. | Lebrett MB et al. | — | 2023 | → |
| Variation and impact of polygenic hematologic traits in monogenic sickle cell disease. | Pincez T et al. | — | 2023 | → |
| Wrestling with Social and Behavioral Genomics: Risks, Potential Benefits, and Ethical Responsibility. | Meyer MN et al. | — | 2023 | → |