Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.
paper
Cited
Public
- Authors
- Wellcome Trust Case Control Consortium
- Year
- 2007
- Journal
- Nature
- PMID
- 17554300
- DOI
- 10.1038/nature05911
- PMCID
- PMC2719288
There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study (using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined approximately 2,000 individuals for each of 7 major diseases and a shared set of approximately 3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 x 10(-7): 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the diseases studied. Across all diseases, we identified a large number of further signals (including 58 loci with single-point P values between 10(-5) and 5 x 10(-7)) likely to yield additional susceptibility loci. The importance of appropriately large samples was confirmed by the modest effect sizes observed at most loci identified. This study thus represents a thorough validation of the GWA approach. It has also demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; has generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in the British population is generally modest. Our findings offer new avenues for exploring the pathophysiology of these important disorders. We anticipate that our data, results and software, which will be widely available to other investigators, will provide a powerful resource for human genetics research.
Genome-wide scan for allele frequency differences between controlsa, P values from the trend test for differences between SNP allele frequencies in the two control groups, stratified by geographical region. SNPs have been excluded on the basis of failure in a test for Hardy-Weinberg equilibrium in either control group considered separately, a low call rate, or if minor allele frequency is less than 1%, but not on the basis of a difference between control groups. Green dots indicate SNPs with a P value <1×10-5. b, Quantile-quantile plots of these test statistics. In this and subsequent quantile-quantile plots, the shaded region is the 95% concentration band (see Methods).
Genome-wide picture of geographic variationa, P values for the 11-d.f. test for difference in SNP allele frequencies between geographical regions, within the 9 collections. SNPs have been excluded using the project quality control filters described in Methods. Green dots indicate SNPs with a P value <1×10-5. b, Quantile-quantile plots of these test statistics. SNPs at which the test statistic exceeds 100 are represented by triangles at the top of the plot, and the shaded region is the 95% concentration band (see Method). Also shown in blue is the quantile-quantile plot resulting from removal of all SNPs in the 13 most differentiated regions (Table 1).
Quantile-quantile plots for seven genome-wide scansFor each of the seven disease collections, a quantile-quantile plot of the results of the trend test is shown in black for all SNPs that pass the standard project filters, have a minor allele frequency >1% and missing data rate <1%. SNPs that were visually inspected and revealed genotype calling problems were excluded. These filters were chosen to minimize the influence of genotype-calling artefacts. Each quantile-quantile plot shown in black involves around 360,000 SNPs. SNPs at which the test statistic exceeds 30 are represented by triangles. Additional quantile-quantile plots, which also exclude all SNPs located in the regions of association listed in Table 3, are superimposed in blue (for BD, the exclusion of these SNPs has no visible effect on the plot, and for HT there are no such SNPs). The blue quantile-quantile plots show that departures in the extreme tail of the distribution of test statistics are due to regions with a strong signal for association.
Genome-wide scan for seven diseasesFor each of seven diseases -log10 of the trend test P value for quality-control-positive SNPs, excluding those in each disease that were excluded for having poor clustering after visual inspection, are plotted against position on each chromosome. Chromosomes are shown in alternating colours for clarity, with P values <1×10-5 highlighted in green. All panels are truncated at -log10(P value)=15, although some markers (for example, in the MHC in T1D and RA) exceed this significance threshold.
Regions of the genome showing strong evidence of associationCharacteristics of genomic regions 1.25 Mb to either side of ‘hit SNPs’—SNPs with lowest P values. Region boundaries (vertical dotted lines) were chosen to coincide with locations where test statistics returned to background levels and, where possible, recombination hotspots. Upper panel, -log10(P values) for the test (trend or genotypic) with the smallest P value at the hit SNP. Black points represent SNPs tyred in the study, and grey points represent SNPs whose genotypes were imputed. SNPs imputed with higher confidence are shown in darker grey. Middle panel, fine-scale recombination rate (centimorgans per Mb) estimated from Phase II HapMap. The purple line shows the cumulative genetic distance (in cM) from the hit SNP. Lower panel, known genes, and sequence conservation in 17 vertebrates. Known genes (orange) in the hit region are listed in the upper right part of each plot in chromosomal order, starting at the left edge of the region. The top track shows plus-strand genes and the middle track shows minus-strand genes. Sequence conservation (bottom track) scores are based on the phylogenetic hidden Markov model phastCons. Highly conserved regions (phastCons score≥600) are shown in blue. Information in middle and lower panels is taken from the USCS Genome Browser. Positions are in NCBI build-35 coordinates. See Supplementary Information on ‘signal plots.’
Strong associations in subsamples of our dataFor the 16 SNPs in Table 3 (outside the MHC) with P values for the trend test below 5×10-7 we randomly generated 1,000 subsets of our full data set corresponding to case-control studies with different numbers of cases, and the same number of controls (x axis). The y axis gives the proportion of subsamples of a given size in which that SNP achieved a P value for the trend test below 5×10-7. SNPs are numbered according to the row in which they occur in Table 3 (so that, for example, the CAD hit is numbered 2, and the TCF7L2 hit on chromosome 10 for T2D is numbered 20).
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| Extended genome-wide association study employing the African genome resources panel identifies novel susceptibility loci for Alzheimer's disease in individuals of African ancestry. | Ray NR et al. | — | 2024 | → |
| FastBiCmrMLM: a fast and powerful compressed variance component mixed logistic model for big genomic case-control genome-wide association study. | Wang JT et al. | — | 2024 | → |
| Gene-environment interaction in the pathophysiology of type 1 diabetes. | Mittal R et al. | — | 2024 | → |
| Gene-Environment Interactions and Gene-Gene Interactions on Two Biological Age Measures: Evidence from Taiwan Biobank Participants. | Lin WY | — | 2024 | → |
| Gene selection by incorporating genetic networks into case-control association studies. | Cao X et al. | — | 2024 | → |
| Genetic and Epigenetic Aspects of Type 1 Diabetes Mellitus: Modern View on the Problem. | Minniakhmetov I et al. | — | 2024 | → |
| Genetic and Epigenetic Mechanisms Regulating Blood Pressure and Kidney Dysfunction. | Pandey KN | — | 2024 | → |
| Genetic association mapping leveraging Gaussian processes. | Kumasaka N | — | 2024 | → |
| Genetic associations in ankylosing spondylitis: circulating proteins as drug targets and biomarkers. | Zhang Y et al. | — | 2024 | → |
| Genetic effects of sequence-conserved enhancer-like elements on human complex traits. | Zhu X et al. | — | 2024 | → |
| Genetic history of Cambridgeshire before and after the Black Death. | Hui R et al. | — | 2024 | → |
| Genetic origins, regulators, and biomarkers of cellular senescence. | Torres G et al. | — | 2024 | → |
| Genetic Predisposition of Atherosclerotic Cardiovascular Disease in Ancient Human Remains. | Wurst C et al. | — | 2024 | → |
| Genetics of Hypertension: From Monogenic Analysis to GETomics. | Zappa M et al. | — | 2024 | → |
| Genome-wide analyses of neonatal jaundice reveal a marked departure from adult bilirubin metabolism. | Solé-Navais P et al. | — | 2024 | → |
| Genome-Wide Association Study for Weight Loss at the End of Dry-Curing of Hams Produced from Purebred Heavy Pigs. | Faggion S et al. | — | 2024 | → |
| Genome-wide association study of cassava brown streak disease resistance in cassava germplasm conserved in South America. | Ospina JA et al. | — | 2024 | → |
| Genome-wide association study of therapeutic response to statin drugs in cardiovascular disease. | Dabiri H et al. | — | 2024 | → |
| Genome-Wide Association Study Reveals Novel Candidate Genes Influencing Semen Traits in Landrace Pigs. | Zhuang Z et al. | — | 2024 | → |
| Genome-Wide Association Study Reveals Quantitative Trait Loci and Candidate Genes Associated with High Interferon-gamma Production in Holstein Cattle Naturally Infected with <i>Mycobacterium Bovis</i>. | Badia-Bringué G et al. | — | 2024 | → |
| Gut microbiota as a sensor of autoimmune response and treatment for rheumatoid arthritis. | Lamba A et al. | — | 2024 | → |
| GWAS breakthroughs: mapping the journey from one locus to 393 significant coronary artery disease associations. | Aherrahrou R et al. | — | 2024 | → |
| Haploinsufficiency in PTPN2 leads to early-onset systemic autoimmunity from Evans syndrome to lupus. | Jeanpierre M et al. | — | 2024 | → |
| Harnessing population diversity: in search of tools of the trade. | Bzdok D et al. | — | 2024 | → |
| HBI: a hierarchical Bayesian interaction model to estimate cell-type-specific methylation quantitative trait loci incorporating priors from cell-sorted bisulfite sequencing data. | Cheng Y et al. | — | 2024 | → |
| Identifying Regions of the Genome Associated with Conception Rate to the First Service in Holstein Heifers Bred by Artificial Insemination and as Embryo Transfer Recipients. | Kelson VC et al. | — | 2024 | → |
| Immunotherapeutic implications of negative regulation by protein tyrosine phosphatases in T cells: the emerging cases of PTP1B and TCPTP. | Perez-Quintero LA et al. | — | 2024 | → |
| Impact of the trans-ancestry polygenic risk score on type 2 diabetes risk, onset age and progression among population in Taiwan. | Wang SH et al. | — | 2024 | → |
| Induced and natural variation affect traits independently in hybrid Populus. | Guo W et al. | — | 2024 | → |
| Influence of Clinical and Genetic Factors on Propofol Dose Requirements: A Genome-wide Association Study. | Ahlström S et al. | — | 2024 | → |
| Inhibitory KIRs decrease HLA class II-mediated protection in Type 1 Diabetes. | Mora-Bitria L et al. | — | 2024 | → |
| Integration of genetic and chromatin modification data pinpoints autoimmune-specific remodeling of enhancer landscape in CD4<sup>+</sup> T cells. | Daga N et al. | — | 2024 | → |
| Investigative power of genomic informational field theory relative to genome-wide association studies for genotype-phenotype mapping. | Kyratzi P et al. | — | 2024 | → |
| Islet autoantibody frequency in relatives of children with type 1 diabetes who have a type 2 diabetes diagnosis. | Lewis SJ et al. | — | 2024 | → |
| Large-scale gene expression alterations introduced by structural variation drive morphotype diversification in Brassica oleracea. | Li X et al. | — | 2024 | → |
| lncRNA CDKN2B-AS1 regulates collagen expression. | Shi W et al. | — | 2024 | → |
| Mendelian Randomization as a Tool for Cardiovascular Research: A Review. | Levin MG et al. | — | 2024 | → |
| Multi-ancestry meta-analysis of host genetic susceptibility to tuberculosis identifies shared genetic architecture. | Schurz H et al. | — | 2024 | → |
| Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications. | Sterenborg RBTM et al. | — | 2024 | → |
| New insights on genetic background of major diabetic vascular complications. | Tariq Z et al. | — | 2024 | → |
| Next-Gen GWAS: full 2D epistatic interaction maps retrieve part of missing heritability and improve phenotypic prediction. | Carré C et al. | — | 2024 | → |
| Omics Approaches Unveiling the Biology of Human Atherosclerotic Plaques. | Wu X et al. | — | 2024 | → |
| Organoids as a tool to study homeostatic and pathological immune-epithelial interactions in the gut. | Kromann EH et al. | — | 2024 | → |
| PASTRY: achieving balanced power for detecting risk and protective minor alleles in meta-analysis of association studies with overlapping subjects. | Kim EE et al. | — | 2024 | → |
| Perturbational phenotyping of human blood cells reveals genetically determined latent traits associated with subsets of common diseases. | Homilius M et al. | — | 2024 | → |
| Phenome-wide association network demonstrates close connection with individual disease trajectories from the HUNT study. | Hall M et al. | — | 2024 | → |
| Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment. | Bukhari I et al. | — | 2024 | → |
| Post-GWAS Validation of Target Genes Associated with HbF and HbA<sub>2</sub> Levels. | Caria CA et al. | — | 2024 | → |
| Prevalence, Risk Factors and Association with Clinical Outcomes of Malnutrition and Sarcopenia in Inflammatory Bowel Disease: A Prospective Study. | Bezzio C et al. | — | 2024 | → |
| Progress and Implications from Genetic Studies of Bipolar Disorder. | Kong L et al. | — | 2024 | → |
| Projection Test for Mean Vector in High Dimensions. | Liu W et al. | — | 2024 | → |
| Protein tyrosine phosphatase non-receptor type 2 (PTPN2) gene polymorphisms (rs2542151, rs7234029) in Egyptian Behçet's disease patients: a preliminary report. | Attia DHS et al. | — | 2024 | → |
| Quantitative omnigenic model discovers interpretable genome-wide associations. | Ružičková N et al. | — | 2024 | → |
| Quantitative patient graph analysis for transient ischemic attack risk factor distribution based on electronic medical records. | Wen J et al. | — | 2024 | → |
| Rare and common coding variants in lipid metabolism-related genes and their association with coronary artery disease. | Li W et al. | — | 2024 | → |
| Recovering Misidentified Samples Through Genetic Discordance Clustering. | Huang J et al. | — | 2024 | → |
| Regulation of kynurenine metabolism by blood donor genetics and biology impacts red cell hemolysis in vitro and in vivo. | Nemkov T et al. | — | 2024 | → |
| Rheumatoid arthritis: pathogenesis and therapeutic advances. | Gao Y et al. | — | 2024 | → |
| Searching for gene-gene interactions through variance quantitative trait loci of 29 continuous Taiwan Biobank phenotypes. | Lin WY | — | 2024 | → |
| shaPRS: Leveraging shared genetic effects across traits or ancestries improves accuracy of polygenic scores. | Kelemen M et al. | — | 2024 | → |
| Shared and Distinct Genomics of Chronic Thromboembolic Pulmonary Hypertension and Pulmonary Embolism. | Liley J et al. | — | 2024 | → |
| Shared genetic architecture between autoimmune disorders and B-cell acute lymphoblastic leukemia: insights from large-scale genome-wide cross-trait analysis. | Yu X et al. | — | 2024 | → |
| Shared Pathophysiology of Inflammatory Bowel Disease and Psoriasis: Unraveling the Connection. | Jauregui W et al. | — | 2024 | → |
| Synovial Fluid Markers and Extracellular Vesicles in Rheumatoid Arthritis. | Smolinska V et al. | — | 2024 | → |
| Target genes regulated by CLEC16A intronic region associated with common variable immunodeficiency. | Huang X et al. | — | 2024 | → |
| TCF7L2 and FTO Polymorphisms Are Associated with Type 2 Diabetes Mellitus Risk in Kuwait. | Chaudhary N et al. | — | 2024 | → |
| TH17 cell: a double-edged sword in the development of inflammatory bowel disease. | Wen Y et al. | — | 2024 | → |
| The association between psoriasis, psoriasis severity, and inflammatory bowel disease: a population-based analysis. | Shani U et al. | — | 2024 | → |
| The causal relationship between autoimmune thyroid disorders and telomere length: A Mendelian randomization and colocalization study. | Liu X et al. | — | 2024 | → |
| The genetic causal relationship between type 2 diabetes, glycemic traits and venous thromboembolism, deep vein thrombosis, pulmonary embolism: a two-sample Mendelian randomization study. | Yang M et al. | — | 2024 | → |
| The hazards of genotype imputation when mapping disease susceptibility variants. | Lau W et al. | — | 2024 | → |
| The NF-κB signaling system in the immunopathogenesis of inflammatory bowel disease. | Mukherjee T et al. | — | 2024 | → |
| The role of longevity-related genetic variant interactions as predictors of survival after 85 years of age. | Šetinc M et al. | — | 2024 | → |
| The Top 50 Articles and Authors of the New Millennium in Psychiatry: A Bibliometric Analysis. | Havlik JL et al. | — | 2024 | → |
| The type 1 diabetes susceptibility locus <i>Idd5</i> favours robust neonatal development of highly autoreactive regulatory T cells in the NOD mouse. | Santamaria JC et al. | — | 2024 | → |
| The Yin and Yang of pathogens and probiotics: interplay between <i>Salmonella enterica</i> sv. Typhimurium and <i>Bifidobacterium infantis</i> during co-infection. | Shaw C et al. | — | 2024 | → |
| Three decades of osteoarthritis molecular genetics research: From early discussions to impressive breakthroughs. | Loughlin J | — | 2024 | → |
| Type I interferon signaling and peroxisomal dysfunction contribute to enhanced inflammatory cytokine production in IRGM1-deficient macrophages. | Fee BE et al. | — | 2024 | → |
| Understanding the Genetic Landscape of Gestational Diabetes: Insights into the Causes and Consequences of Elevated Glucose Levels in Pregnancy. | Brito Nunes C et al. | — | 2024 | → |
| Untangling the genetics of beta cell dysfunction and death in type 1 diabetes. | Robertson CC et al. | — | 2024 | → |
| Unveiling new genetic insights in rheumatoid arthritis for drug discovery through Taxonomy3 analysis. | Kozlowska J et al. | — | 2024 | → |
| Use of whole-genome sequence data for fine mapping and genomic prediction of sea louse resistance in Atlantic salmon. | Onabanjo O et al. | — | 2024 | → |
| Using the Bayesian variational spike and slab model in a genome-wide association study for finding associated loci with bipolar disorder. | Kazemi Naeini M et al. | — | 2024 | → |
| Variant effect predictors: a systematic review and practical guide. | Riccio C et al. | — | 2024 | → |
| Zebrafish as a Model for Cardiovascular and Metabolic Disease: The Future of Precision Medicine. | Angom RS et al. | — | 2024 | → |
| 15 years of GWAS discovery: Realizing the promise. | Abdellaoui A et al. | — | 2023 | → |
| A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease. | Dai X et al. | — | 2023 | → |
| A comparison of algorithms for identifying copy number variants in family-based whole-exome sequencing data and its implications in inheritance pattern analysis. | Ye B et al. | — | 2023 | → |
| A cross-tissue transcriptome association study identifies key genes in essential hypertension. | Huang S et al. | — | 2023 | → |
| Advances and Challenges for GWAS Analysis in Cardiac Diseases: A Focus on Coronary Artery Disease (CAD). | Khan SU et al. | — | 2023 | → |
| Advances in experimental models of rheumatoid arthritis. | Wang S et al. | — | 2023 | → |
| Advancing stroke genetics in Hawai'i and the Pacific Islands. | Brown SC et al. | — | 2023 | → |
| A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. | Morgante F et al. | — | 2023 | → |
| A Gene-Acculturation Study of Obesity Among US Hispanic/Latinos: The Hispanic Community Health Study/Study of Latinos. | Fernández-Rhodes L et al. | — | 2023 | → |
| A Genetic Risk Score Distinguishes Different Types of Autoantibody-Mediated Membranous Nephropathy. | Gupta S et al. | — | 2023 | → |
| A homozygous missense variant in <i>PTPN2</i> with early-onset Crohn's disease, growth failure and dysmorphic features in an infant: a case report. | Awwad J et al. | — | 2023 | → |
| A multi-omics analysis identifies molecular features associated with fertility in heifers (Bos taurus). | Marrella MA et al. | — | 2023 | → |
| Analysis of ANRIL Isoforms and Key Genes in Patients with Severe Coronary Artery Disease. | Rodríguez-Esparragón F et al. | — | 2023 | → |
| Analytical Approaches to Uncover Genetic Associations for Rare Outcomes: Lessons from West Nile Neuroinvasive Disease. | Cahill ME et al. | — | 2023 | → |
| A nonparametric alternative to the Cochran-Armitage trend test in genetic case-control association studies: The Jonckheere-Terpstra trend test. | Manning SE et al. | — | 2023 | → |
| A partitioned 88-loci psoriasis genetic risk score reveals HLA and non-HLA contributions to clinical phenotypes in a Newfoundland psoriasis cohort. | Bui A et al. | — | 2023 | → |
| Appraising the Associations Between Systemic Iron Status and Epigenetic Clocks: A Genetic Correlation and Bidirectional Mendelian Randomization Study. | Guo Y et al. | — | 2023 | → |
| A Q-Q plot aids interpretation of the false discovery rate. | Galwey NW | — | 2023 | → |
| Association between High Interferon-Gamma Production in Avian Tuberculin-Stimulated Blood from <i>Mycobacterium avium</i> subsp. <i>paratuberculosis</i>-Infected Cattle and Candidate Genes Implicated in Necroptosis. | Badia-Bringué G et al. | — | 2023 | → |
| Association of endometriosis with cardiovascular disease: Genetic aspects (Review). | Vazgiourakis VM et al. | — | 2023 | → |
| Beta-negative binomial nonlinear spatio-temporal random effects modeling of COVID-19 case counts in Japan. | Ueki M | — | 2023 | → |
| Blood transcriptomic biomarkers of alcohol consumption and cardiovascular disease risk factors: the Framingham Heart Study. | Ma J et al. | — | 2023 | → |
| Cannabidiol regulates apoptosis and autophagy in inflammation and cancer: A review. | Fu Z et al. | — | 2023 | → |
| Celebrating a Century of Research in Behavioral Genetics. | Plomin R | — | 2023 | → |
| CLEC16A interacts with retromer and TRIM27, and its loss impairs endosomal trafficking and neurodevelopment. | Smits DJ 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 polygenic risk scores and human leukocyte antigen variants for personalized risk assessment of type 1 diabetes in the Taiwanese population. | Liao WL et al. | — | 2023 | → |
| Comparative transcriptomics reveals human-specific cortical features. | Jorstad NL et al. | — | 2023 | → |
| Comprehensive epigenomic profiling reveals the extent of disease-specific chromatin states and informs target discovery in ankylosing spondylitis. | Brown AC et al. | — | 2023 | → |
| CTLA4, SH2B3, and CLEC16A diversely affect the progression of early islet autoimmunity in relatives of Type 1 diabetes patients. | Vandewalle J et al. | — | 2023 | → |
| Current Status of Next-Generation Sequencing in Bone Genetic Diseases. | Aida N et al. | — | 2023 | → |
| Deep Learning Framework for Complex Disease Risk Prediction Using Genomic Variations. | Alzoubi H et al. | — | 2023 | → |
| Diagnostic Potential of Two Novel Biomarkers for Neuromyelitis Optica Spectrum Disorder and Multiple Sclerosis. | Xu T et al. | — | 2023 | → |
| Dimensionality reduction approach for many-objective epistasis analysis. | Yang CH et al. | — | 2023 | → |
| DNMT3B activates FGFR3-mediated endoplasmic reticulum stress by regulating PTPN2 promoter methylation to promote the development of atherosclerosis. | Zhang Z et al. | — | 2023 | → |
| Editorial overview: Epigenetic inheritance: A shortcut to environmental adaptation? | Koseki H et al. | — | 2023 | → |
| Effect of MEF2A and SLC22A3-LPAL2-LPA gene polymorphisms on warfarin sensitivity and responsiveness in Jordanian cardiovascular patients. | Al-Eitan LN et al. | — | 2023 | → |
| Enhancer variants on chromosome 2p14 regulating SPRED2 and ACTR2 act as a signal amplifier to protect against rheumatoid arthritis. | Wang NN et al. | — | 2023 | → |
| Evaluating genomic polygenic risk scores for childhood acute lymphoblastic leukemia in Latinos. | Jeon S et al. | — | 2023 | → |
| Evolution of the search for a common mechanism of congenital risk of coronary heart disease and type 2 diabetes mellitus in the chromosomal locus 9p21.3. | Benberin V et al. | — | 2023 | → |
| Gene-environment interactions in the associations of PFAS exposure with insulin sensitivity and beta-cell function in a Faroese cohort followed from birth to adulthood. | Valvi D et al. | — | 2023 | → |
| Gene Expressions Preferentially Influence Cortical Thickness of Human Connectome Project Atlas Parcellated Regions in First-Episode Antipsychotic-Naïve Psychoses. | McGuigan BN et al. | — | 2023 | → |
| Genetic Background and Molecular Mechanisms of Juvenile Idiopathic Arthritis. | La Bella S et al. | — | 2023 | → |
| Genetics of inflammatory bowel disease in East Asia: From population to individual. | Kakuta Y et al. | — | 2023 | → |
| Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss. | Mera-Charria A et al. | — | 2023 | → |
| Genetic variation in chromatin state across multiple tissues in Drosophila melanogaster. | Huynh K et al. | — | 2023 | → |
| Genome-Wide Assessment of Shared Genetic Architecture Between Rheumatoid Arthritis and Cardiovascular Diseases. | Guo Y et al. | — | 2023 | → |
| Genome-wide association analysis identifies a susceptibility locus for sporadic vestibular schwannoma at 9p21. | Sadler KV et al. | — | 2023 | → |
| Genome-wide association and genomic prediction for a reproductive index summarizing fertility outcomes in U.S. Holsteins. | Seabury CM et al. | — | 2023 | → |
| Genome-wide association studies of cardiovascular disease. | Walsh R et al. | — | 2023 | → |
| Genome-Wide Association Studies of Diarrhea Frequency and Duration in the First Year of Life in Bangladeshi Infants. | Munday RM et al. | — | 2023 | → |
| Genome-wide association studies: utility and limitations for research in physiology. | Pereira Ciochetti N et al. | — | 2023 | → |
| Genome-Wide Association Study for Somatic Skeletal Traits in Duroc × (Landrace × Yorkshire) Pigs. | Gao X et al. | — | 2023 | → |
| Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study. | Singh S et al. | — | 2023 | → |
| Genome-wide association study reveals candidate markers related to field fertility and semen quality traits in Holstein-Friesian bulls. | Abril-Parreño L et al. | — | 2023 | → |
| Genome-wide association testing in malaria studies in the presence of overdominance. | Akoth M et al. | — | 2023 | → |
| Genome-wide association with footrot in hair and wool sheep. | Cinar MU et al. | — | 2023 | → |
| Genomic regions associated with pseudorabies virus infection status in naturally infected feral swine (<i>Sus scrofa</i>). | Bowden CF et al. | — | 2023 | → |
| Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. | Sacks DB et al. | — | 2023 | → |
| Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. | Sacks DB et al. | — | 2023 | → |
| Health inequity in genomic personalized medicine in underrepresented populations: a look at the current evidence. | Tawfik SM et al. | — | 2023 | → |
| Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. | Tsao CW et al. | — | 2023 | → |
| Host Genetic Factors, Comorbidities and the Risk of Severe COVID-19. | Zhu D et al. | — | 2023 | → |
| How data science and AI-based technologies impact genomics. | Lin J et al. | — | 2023 | → |
| Human placental extract regulates polarization of macrophages via IRGM/NLRP3 in allergic rhinitis. | Wo B et al. | — | 2023 | → |
| <i>CLEC16A</i>-An Emerging Master Regulator of Autoimmunity and Neurodegeneration. | Pandey R et al. | — | 2023 | → |
| Identification and analysis of individuals who deviate from their genetically-predicted phenotype. | Hawkes G et al. | — | 2023 | → |
| Identification of host regulators of Mycobacterium tuberculosis phenotypes uncovers a role for the MMGT1-GPR156 lipid droplet axis in persistence. | Kalam H et al. | — | 2023 | → |
| IL-2-based approaches to Treg enhancement. | Harris F et al. | — | 2023 | → |
| Immunogenetic variations predict immune-related adverse events for PD-1/PD-L1 inhibitors. | Xin Z et al. | — | 2023 | → |
| Impact of genetic information on coronary disease risk in Madeira: The GENEMACOR study. | Mendonça MI 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 | → |
| Innate and adaptive immune abnormalities underlying autoimmune diseases: the genetic connections. | Chi X et al. | — | 2023 | → |
| Integrated analysis of genome-wide association studies and 3D epigenomic characteristics reveal the BMP2 gene regulating loin muscle depth in Yorkshire pigs. | Miao Y et al. | — | 2023 | → |
| Interaction-integrated linear mixed model reveals 3D-genetic basis underlying Autism. | Li Q et al. | — | 2023 | → |
| Investigating Direct and Indirect Genetic Effects in Attention-Deficit/Hyperactivity Disorder Using Parent-Offspring Trios. | Martin J et al. | — | 2023 | → |
| Investigation of <i>ABO</i> Gene Variants across More Than 60 Pig Breeds and Populations and Other <i>Suidae</i> Species Using Whole-Genome Sequencing Datasets. | Bolner M et al. | — | 2023 | → |
| Invited review: Good practices in genome-wide association studies to identify candidate sequence variants in dairy cattle. | Sahana G et al. | — | 2023 | → |
| IPP: An Intelligent Privacy-Preserving Scheme for Detecting Interactions in Genome Association Studies. | Wang H et al. | — | 2023 | → |
| k-mer-based GWAS enhances the discovery of causal variants and candidate genes in soybean. | Lemay MA et al. | — | 2023 | → |
| Large scale phenotype imputation and in vivo functional validation implicate ADAMTS14 as an adiposity gene. | Kentistou KA et al. | — | 2023 | → |
| Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies. | Stamp J et al. | — | 2023 | → |
| Longitudinal Reading Measures and Genome Imputation in the National Child Development Study: Prospects for Future Reading Research. | Bridges EC et al. | — | 2023 | → |
| Microbial signature of plaque and gut in acute coronary syndrome. | Pisano E et al. | — | 2023 | → |
| Modulation of the immunity and inflammation by autophagy. | Gan T et al. | — | 2023 | → |
| Mono- and biallelic variant effects on disease at biobank scale. | Heyne HO et al. | — | 2023 | → |
| mRNA Metabolism and Hypertension. | Zappa M et al. | — | 2023 | → |
| Multi-ancestry genome-wide analysis identifies shared genetic effects and common genetic variants for self-reported sleep duration. | Scammell BH et al. | — | 2023 | → |
| Multiomics technologies: role in disease biomarker discoveries and therapeutics. | Dar MA et al. | — | 2023 | → |
| Narcolepsy risk loci outline role of T cell autoimmunity and infectious triggers in narcolepsy. | Ollila HM et al. | — | 2023 | → |
| Natural variation of codon repeats in <i>COLD11</i> endows rice with chilling resilience. | Li Z et al. | — | 2023 | → |
| New insights into the genetic predisposition of brucellosis and its effect on the gut and vaginal microbiota in goats. | Sallam AM et al. | — | 2023 | → |
| Nucleotide alterations in the HLA-C class I gene can cause aberrant splicing and marked changes in RNA levels in a polymorphic context-dependent manner. | Mizutani A et al. | — | 2023 | → |
| Online multiple hypothesis testing. | Robertson DS et al. | — | 2023 | → |
| OTULIN protects the intestinal epithelium from apoptosis during inflammation and infection. | Verboom L et al. | — | 2023 | → |
| Partners in diabetes epidemic: A global perspective. | Wang H et al. | — | 2023 | → |
| Pathogen exposure misclassification can bias association signals in GWAS of infectious diseases when using population-based common control subjects. | Duchen D et al. | — | 2023 | → |
| Peripheral blood cellular dynamics of rheumatoid arthritis treatment informs about efficacy of response to disease modifying drugs. | Hedman ÅK et al. | — | 2023 | → |
| Pleiotropic genetic association analysis with multiple phenotypes using multivariate response best-subset selection. | Guo H et al. | — | 2023 | → |
| Polymorphism of rs599839 in the <i>PSRC1</i> gene is associated with coronary artery disease in an Iranian population. | Houshmand G et al. | — | 2023 | → |
| Population genetics and external proficiency testing for HLA disease associations. | Mrazek F | — | 2023 | → |
| Potential Involvement of LncRNAs in Cardiometabolic Diseases. | Ilieva M et al. | — | 2023 | → |
| Precision medicine in complex diseases-Molecular subgrouping for improved prediction and treatment stratification. | Johansson Å et al. | — | 2023 | → |
| Prevention of rheumatoid arthritis: A systematic literature review of preventive strategies in at-risk individuals. | Frazzei G et al. | — | 2023 | → |
| Psychosis Endophenotypes: A Gene-Set-Specific Polygenic Risk Score Analysis. | Wang B et al. | — | 2023 | → |
| PTPN2 regulates bacterial clearance in a mouse model of enteropathogenic and enterohemorrhagic E. coli infection. | Spalinger MR et al. | — | 2023 | → |
| Role of non-coding variants in cardiovascular disease. | Heshmatzad K et al. | — | 2023 | → |
| Screening properties of trend tests in genetic association studies. | Jiang Z et al. | — | 2023 | → |
| Shared genetic risk across different presentations of gene test-negative idiopathic nephrotic syndrome. | Downie ML et al. | — | 2023 | → |
| Shared genetic risk loci between Alzheimer's disease and related dementias, Parkinson's disease, and amyotrophic lateral sclerosis. | Wainberg M et al. | — | 2023 | → |
| Shifting Paradigm from Gene Expressions to Pathways Reveals Physiological Mechanisms in Blood Pressure Control in Causation. | Deng AY et al. | — | 2023 | → |
| Single-cell genomics meets human genetics. | Cuomo ASE et al. | — | 2023 | → |
| SOCS-JAK-STAT inhibitors and SOCS mimetics as treatment options for autoimmune uveitis, psoriasis, lupus, and autoimmune encephalitis. | Pandey R et al. | — | 2023 | → |
| Statistical Learning Methods for Neuroimaging Data Analysis with Applications. | Zhu H et al. | — | 2023 | → |
| The emerging roles of autophagy in intestinal epithelial cells and its links to inflammatory bowel disease. | Tran S et al. | — | 2023 | → |
| The Genetic Side of the Mood: A Scientometric Review of the Genetic Basis of Mood Disorders. | Bonacina G et al. | — | 2023 | → |
| The Identification of a Yield-Related Gene Controlling Multiple Traits Using GWAS in Sorghum (<i>Sorghum bicolor</i> L.). | Zhang Y et al. | — | 2023 | → |
| The Landscape of Circular RNAs in Cardiovascular Diseases. | Long Q et al. | — | 2023 | → |
| The phenotype-genotype reference map: Improving biobank data science through replication. | Bastarache L et al. | — | 2023 | → |
| The promise of explainable deep learning for omics data analysis: Adding new discovery tools to AI. | Santorsola M et al. | — | 2023 | → |
| The PTPN2/PTPN1 inhibitor ABBV-CLS-484 unleashes potent anti-tumour immunity. | Baumgartner CK et al. | — | 2023 | → |
| The relationship between islet autoantibody status and the genetic risk of type 1 diabetes in adult-onset type 1 diabetes. | Thomas NJ et al. | — | 2023 | → |
| The Role of Neural and Genetic Processes in Learning to Read and Specific Reading Disabilities: Implications for Instruction. | Church JA et al. | — | 2023 | → |
| The role of upadacitinib in the treatment of ulcerative colitis. | Jordan AA et al. | — | 2023 | → |
| Transcription factor 21 gene and prognosis in a coronary population. | Santos MR et al. | — | 2023 | → |
| Transferability of the PRS estimates for height and BMI obtained from the European ethnic groups to the Western Russian populations. | Albert EA et al. | — | 2023 | → |
| Type 1 Diabetes Genetic Risk Score Differentiates Subgroups of Ketosis-Prone Diabetes. | Osafehinti D et al. | — | 2023 | → |
| Unraveling Mechanisms of Cryptogenic Stroke at the Genetic Level: A Systematic Literature Review. | Ernst J et al. | — | 2023 | → |
| Visual feedback neurons fine-tune Drosophila male courtship via GABA-mediated inhibition. | Mabuchi Y et al. | — | 2023 | → |
| Whole-Exome sequencing analysis identified TMSB10/TRABD2A locus to be associated with carfilzomib-related cardiotoxicity among patients with multiple myeloma. | Tantawy M et al. | — | 2023 | → |
| Whole Genome Sequencing Identifies Novel Common and Low-Frequency Variants Associated With Age-Related Macular Degeneration. | Acar IE et al. | — | 2023 | → |
| Wide and deep learning based approaches for classification of Alzheimer's disease using genome-wide association studies. | Alatrany AS et al. | — | 2023 | → |
| 2021 Curt Stern Award: Studying the biology of "junk". | Dermitzakis ET | — | 2022 | → |
| 3D genome organization links non-coding disease-associated variants to genes. | Orozco G et al. | — | 2022 | → |
| Accurate genome-wide genotyping from archival tissue to explore the contribution of common genetic variants to pre-cancer outcomes. | Nachmanson D et al. | — | 2022 | → |
| A Clinical Update on Gestational Diabetes Mellitus. | Sweeting A et al. | — | 2022 | → |
| A comparative analysis of current phasing and imputation software. | De Marino A et al. | — | 2022 | → |
| A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies. | Shao Z et al. | — | 2022 | → |
| A Comprehensive Review of Receptor-Type Tyrosine-Protein Phosphatase Gamma (PTPRG) Role in Health and Non-Neoplastic Disease. | Boni C et al. | — | 2022 | → |
| A data-adaptive Bayesian regression approach for polygenic risk prediction. | Song S et al. | — | 2022 | → |
| A flexible summary statistics-based colocalization method with application to the mucin cystic fibrosis lung disease modifier locus. | Wang F et al. | — | 2022 | → |
| A Genome-Wide Association Study for Tolerance to Paratuberculosis Identifies Candidate Genes Involved in DNA Packaging, DNA Damage Repair, Innate Immunity, and Pathogen Persistence. | Canive M et al. | — | 2022 | → |
| A guide to membrane atg8ylation and autophagy with reflections on immunity. | Deretic V et al. | — | 2022 | → |
| A high-density genome-wide association with absolute blood monocyte count in domestic sheep identifies novel loci. | Oliveira RD et al. | — | 2022 | → |
| An autoencoder-based deep learning method for genotype imputation. | Song M et al. | — | 2022 | → |
| A Roadmap for Investigating Preclinical Autoimmunity Using Patient-Oriented and Epidemiologic Study Designs: Example of Rheumatoid Arthritis. | Kowalski EN et al. | — | 2022 | → |
| Artificial Intelligence and Cardiovascular Genetics. | Krittanawong C et al. | — | 2022 | → |
| A significant quantitative trait locus on chromosome Z and its impact on egg production traits in seven maternal lines of meat-type chicken. | Ding J et al. | — | 2022 | → |
| Association Between ABCA1 Gene Polymorphisms and the Risk of Hypertension in the Chinese Han Population. | Ren Y et al. | — | 2022 | → |
| Association of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait. | Verma A et al. | — | 2022 | → |
| Autoimmune susceptibility gene <i>PTPN2</i> is required for clearance of adherent-invasive <i>Escherichia coli</i> by integrating bacterial uptake and lysosomal defence. | Spalinger MR et al. | — | 2022 | → |
| Biomedical data, computational methods and tools for evaluating disease-disease associations. | Xiang J et al. | — | 2022 | → |
| Blood Group Genotyping. | Cone Sullivan JK et al. | — | 2022 | → |
| Breeding of African sheep reared under low-input/output smallholder production systems for trypanotolerance. | Malatji DP | — | 2022 | → |
| Causal association evaluation of diabetes with Alzheimer's disease and genetic analysis of antidiabetic drugs against Alzheimer's disease. | Meng L et al. | — | 2022 | → |
| Circular RNAs in cardiovascular diseases. | Mei X et al. | — | 2022 | → |
| Cis-epistasis at the LPA locus and risk of cardiovascular diseases. | Zeng L et al. | — | 2022 | → |
| CNest: A novel copy number association discovery method uncovers 862 new associations from 200,629 whole-exome sequence datasets in the UK Biobank. | Fitzgerald T et al. | — | 2022 | → |
| Combinational Drug Repurposing from Genetic Networks Applied to Alzheimer's Disease. | Nabirotchkin S et al. | — | 2022 | → |
| Commentary: Will genomics revolutionise research on gene-environment interplay? | Plomin R et al. | — | 2022 | → |
| Common genetic variants associated with melanoma risk or naevus count in patients with wildtype MC1R melanoma. | Calbet-Llopart N et al. | — | 2022 | → |
| Common polymorphisms of protein tyrosine phosphate non-receptor type 2 gene are not associated with risk of Crohn's disease in Indian. | Chatterjee K et al. | — | 2022 | → |
| Control for population stratification in genetic association studies based on GWAS summary statistics. | Yan S et al. | — | 2022 | → |
| Coupling high-throughput mapping with proteomics analysis delineates cis-regulatory elements at high resolution. | Wu T et al. | — | 2022 | → |
| dbBIP: a comprehensive bipolar disorder database for genetic research. | Li X et al. | — | 2022 | → |
| Deciphering Genetic Susceptibility to Tuberculous Meningitis. | Schurz H et al. | — | 2022 | → |
| Defining novel causal SNPs and linked phenotypes at melanoma-associated loci. | Castaneda-Garcia C et al. | — | 2022 | → |
| Differential expression and significance of peripheral blood genes in coronary artery heart disease. | Nong SX et al. | — | 2022 | → |
| Disentangling genetic feature selection and aggregation in transcriptome-wide association studies. | Cao C et al. | — | 2022 | → |
| DNA Nanotweezers for Biosensing Applications: Recent Advances and Future Prospects. | Liu S et al. | — | 2022 | → |
| Editorial: Genetic Studies on Spondyloarthritis: From Disease Predictors to Therapeutic Targets. | Vecellio M et al. | — | 2022 | → |
| Effect of 9p21.3 (lncRNA and CDKN2A/2B) variant on lipid profile. | Wei B et al. | — | 2022 | → |
| Efficient privacy-preserving whole-genome variant queries. | Akgün M et al. | — | 2022 | → |
| ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors. | Wang X et al. | — | 2022 | → |
| Estimation of direct and maternal genetic effects and annotation of potential candidate genes for weight and meat quality traits in a genotyped outdoor dual-purpose cattle breed. | Halli K et al. | — | 2022 | → |
| Evaluating statistical significance in a <i>meta</i>-analysis by using numerical integration. | Lin YC et al. | — | 2022 | → |
| Failing the four-gamete test enables exact phasing: the Corners' Algorithm. | Gomez-Raya L et al. | — | 2022 | → |
| Family Socioeconomic Position and Lung Cancer Risk: A Meta-Analysis and a Mendelian Randomization Study. | Zou X et al. | — | 2022 | → |
| fcfdr: an R package to leverage continuous and binary functional genomic data in GWAS. | Hutchinson A et al. | — | 2022 | → |
| First genome-wide association study investigating blood pressure and renal traits in domestic cats. | Jepson RE et al. | — | 2022 | → |
| From DNA human sequence to the chromatin higher order organisation and its biological meaning: Using biomolecular interaction networks to understand the influence of structural variation on spatial genome organisation and its functional effect. | Chiliński M et al. | — | 2022 | → |
| Functional interrogation of autoimmune disease genetics using CRISPR/Cas9 technologies and massively parallel reporter assays. | Ding J et al. | — | 2022 | → |
| Gene-Environment Correlation over Time: A Longitudinal Analysis of Polygenic Risk Scores for Schizophrenia and Major Depression in Three British Cohorts Studies. | Machlitt-Northen S et al. | — | 2022 | → |
| Gene mapping methodology powered by induced genome rearrangements. | Yone H et al. | — | 2022 | → |
| Genes influence complex traits through environments that vary between geographic regions. | — | — | 2022 | → |
| Genetic basis of cardiovascular aging is at the core of human longevity. | Marian AJ | — | 2022 | → |
| Genetic Factors for Coronary Heart Disease and Their Mechanisms: A Meta-Analysis and Comprehensive Review of Common Variants from Genome-Wide Association Studies. | Zarkasi KA et al. | — | 2022 | → |
| Genetic loci, rs17817449 and rs6567160, known for obesity and the risk of stroke events among middle-aged and older Chinese people. | Zhong QQ et al. | — | 2022 | → |
| Genetic mapping of determinants in drug resistance, virulence, disease susceptibility, and interaction of host-rodent malaria parasites. | Su XZ et al. | — | 2022 | → |
| Genetic Modifiers of Thymic Selection and Central Tolerance in Type 1 Diabetes. | Kissler S | — | 2022 | → |
| Genetic Parameters and Genomic Regions Underlying Growth and Linear Type Traits in Akkaraman Sheep. | Kizilaslan M et al. | — | 2022 | → |
| Genetics of cancer therapy-associated cardiotoxicity. | Kim Y et al. | — | 2022 | → |
| Genetics of rheumatoid arthritis. | Padyukov L | — | 2022 | → |
| Genetic susceptibility to autoimmunity-Current status and challenges. | Huang M et al. | — | 2022 | → |
| Genome and transcriptome profiling of spontaneous preterm birth phenotypes. | Gupta JK et al. | — | 2022 | → |
| Genome-wide analysis of genetic predisposition to common polygenic cancers. | Nazarian A et al. | — | 2022 | → |
| Genome-wide association and genotype by environment interactions for growth traits in U.S. Red Angus cattle. | Smith JL et al. | — | 2022 | → |
| Genome-wide association mapping of Hagberg falling number, protein content, test weight, and grain yield in U.K. wheat. | White J et al. | — | 2022 | → |
| Genome-wide association studies reveal novel QTLs, QTL-by-environment interactions and their candidate genes for tocopherol content in soybean seed. | Yu K et al. | — | 2022 | → |
| Genome-wide association study and functional follow-up identify 14q12 as a candidate risk locus for cervical cancer. | Ramachandran D et al. | — | 2022 | → |
| Genome-Wide Association Study of Campylobacter<i>-</i>Positive Diarrhea Identifies Genes Involved in Toxin Processing and Inflammatory Response. | Munday RM et al. | — | 2022 | → |
| Genome-wide association study of REM sleep behavior disorder identifies polygenic risk and brain expression effects. | Krohn L et al. | — | 2022 | → |
| Genomic Analysis of Gastrointestinal Parasite Resistance in Akkaraman Sheep. | Arzik Y et al. | — | 2022 | → |
| Genomic and neuroimaging approaches to bipolar disorder. | Oraki Kohshour M et al. | — | 2022 | → |
| Genotype by environment interactions for chronic wasting disease in farmed US white-tailed deer. | Seabury CM et al. | — | 2022 | → |
| Germline polymorphisms in <i>MGMT</i> associated with temozolomide-related myelotoxicity risk in patients with glioblastoma treated on NRG Oncology/RTOG 0825. | Scheurer ME et al. | — | 2022 | → |
| Hereditable variants of classical protein tyrosine phosphatase genes: Will they prove innocent or guilty? | Hendriks WJAJ et al. | — | 2022 | → |
| Heteroplasmic mitochondrial DNA variants in cardiovascular diseases. | Calabrese C et al. | — | 2022 | → |
| High-Performance Statistical Computing in the Computing Environments of the 2020s. | Ko S et al. | — | 2022 | → |
| Host genetic factors of COVID-19 susceptibility and disease severity in a Thai population. | Chamnanphon M et al. | — | 2022 | → |
| How does age determine the development of human immune-mediated arthritis? | Degboe Y et al. | — | 2022 | → |
| Identification of a novel genetic locus associated with immune-mediated thrombotic thrombocytopenic purpura. | Stubbs MJ et al. | — | 2022 | → |
| Identification of candidate genes associated with bacterial and viral infections in wild boars hunted in Tuscany (Italy). | Fabbri MC et al. | — | 2022 | → |
| Identifying pleiotropic genes for complex phenotypes with summary statistics from a perspective of composite null hypothesis testing. | Wang T et al. | — | 2022 | → |
| Immunomodulatory role of T helper cells in rheumatoid arthritis : a comprehensive research review. | Luo P et al. | — | 2022 | → |
| Impaired activation of STAT5 upon IL-2 stimulation in Tregs and elevated sIL-2R in Sjögren's syndrome. | Keindl M et al. | — | 2022 | → |
| Improved epicardial cardiac fibroblast generation from iPSCs. | Whitehead AJ et al. | — | 2022 | → |
| Innate immunity and inflammophagy: balancing the defence and immune homeostasis. | Chauhan S et al. | — | 2022 | → |
| Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021. | Liu Y et al. | — | 2022 | → |
| Integrative analyses of genomic and metabolomic data reveal genetic mechanisms associated with carcass merit traits in beef cattle. | Li J et al. | — | 2022 | → |
| Interactions of Autophagy and the Immune System in Health and Diseases. | Pant A et al. | — | 2022 | → |
| Interpretable network-guided epistasis detection. | Duroux D et al. | — | 2022 | → |
| Intersection Between Large Granular Lymphocyte Leukemia and Rheumatoid Arthritis. | Moosic KB et al. | — | 2022 | → |
| In utero particulate matter exposure in association with newborn mitochondrial ND4L<sub>10550A>G</sub> heteroplasmy and its role in overweight during early childhood. | Cosemans C et al. | — | 2022 | → |
| Investigating Genetic and Other Determinants of First-Onset Myocardial Infarction in Malaysia: Protocol for the Malaysian Acute Vascular Events Risk Study. | Chowdhury R et al. | — | 2022 | → |
| Involvement of Cdkal1 in the etiology of type 2 diabetes mellitus and microvascular diabetic complications: a review. | Ghosh C et al. | — | 2022 | → |
| <i>PTPN2</i>, A Key Predictor of Prognosis for Pancreatic Adenocarcinoma, Significantly Regulates Cell Cycles, Apoptosis, and Metastasis. | Kuang W et al. | — | 2022 | → |
| Irgm1 regulates metabolism and function in T cell subsets. | Alwarawrah Y et al. | — | 2022 | → |
| Leveraging large observational studies to discover genetic determinants of drug concentrations: A proof-of-concept study. | Meloche M et al. | — | 2022 | → |
| Linear Mixed-Effect Models Through the Lens of Hardy-Weinberg Disequilibrium. | Zhang L et al. | — | 2022 | → |
| Lipidomic Profiling in Synovial Tissue. | Coras R et al. | — | 2022 | → |
| Loss of protein tyrosine phosphatase non-receptor type 2 reduces IL-4-driven alternative macrophage activation. | Spalinger MR et al. | — | 2022 | → |
| Malaria protection due to sickle haemoglobin depends on parasite genotype. | Band G et al. | — | 2022 | → |
| Maternally Inherited Essential Hypertension: Adding Further Complexity to an Already Complex Condition. | Delles C | — | 2022 | → |
| Mechanisms of vascular damage in ANCA vasculitis. | Massicotte-Azarniouch D et al. | — | 2022 | → |
| Methods for statistical fine-mapping and their applications to auto-immune diseases. | Wang QS et al. | — | 2022 | → |
| Missing heritability found for height. | Kuchenbaecker K | — | 2022 | → |
| Multi-Cell-Type Openness-Weighted Association Studies for Trait-Associated Genomic Segments Prioritization. | Song S et al. | — | 2022 | → |
| Nested epistasis enhancer networks for robust genome regulation. | Lin X et al. | — | 2022 | → |
| Non-coding genetic variation in regulatory elements determines thrombosis and hemostasis phenotypes. | Stefanucci L et al. | — | 2022 | → |
| Obesogenic and diabetic effects of CD44 in mice are sexually dimorphic and dependent on genetic background. | VerHague M et al. | — | 2022 | → |
| Omnibus testing approach for gene-based gene-gene interaction. | Hébert F et al. | — | 2022 | → |
| Opportunities and challenges for the use of common controls in sequencing studies. | Wojcik GL et al. | — | 2022 | → |
| Optimizing genomic control in mixed model associations with binary diseases. | Song Y et al. | — | 2022 | → |
| Polygenic discrimination of migratory phenotypes in an estuarine forage fish. | Campbell MA et al. | — | 2022 | → |
| Polygenic risk scores for schizophrenia and major depression are associated with socio-economic indicators of adversity in two British community samples. | Machlitt-Northen S et al. | — | 2022 | → |
| Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene-environment correlation. | Machlitt-Northen S et al. | — | 2022 | → |
| Post-GWAS functional analysis identifies CUX1 as a regulator of p16<sup>INK4a</sup> and cellular senescence. | Jiang D et al. | — | 2022 | → |
| Powerful, efficient QTL mapping in Drosophila melanogaster using bulked phenotyping and pooled sequencing. | Macdonald SJ et al. | — | 2022 | → |
| Preclinical Autoimmune Disease: a Comparison of Rheumatoid Arthritis, Systemic Lupus Erythematosus, Multiple Sclerosis and Type 1 Diabetes. | Frazzei G et al. | — | 2022 | → |
| Primary cell cultures for the personalized therapy in aggressive thyroid cancer of follicular origin. | Fallahi P et al. | — | 2022 | → |
| PTPN2 in the Immunity and Tumor Immunotherapy: A Concise Review. | Song J et al. | — | 2022 | → |
| Quantitative trait locus analysis for endophenotypes reveals genetic substrates of core symptom domains and neurocognitive function in autism spectrum disorder. | Lee IH et al. | — | 2022 | → |
| Racial Disparities in Methylation of <i>NRF1</i>, <i>FTO</i>, and <i>LEPR</i> Gene in Childhood Obesity. | Patel P et al. | — | 2022 | → |
| Rare and common genetic determinants of metabolic individuality and their effects on human health. | Surendran P et al. | — | 2022 | → |
| Rare variant association tests for ancestry-matched case-control data based on conditional logistic regression. | Cheng S et al. | — | 2022 | → |
| Regional gene expression signatures are associated with sex-specific functional connectivity changes in depression. | Talishinsky A et al. | — | 2022 | → |
| REL and BHLHE40 Variants Are Associated with IL-12 and IL-10 Responses and Tuberculosis Risk. | Shah JA et al. | — | 2022 | → |
| Rheumatoid Arthritis: Pathogenic Roles of Diverse Immune Cells. | Jang S et al. | — | 2022 | → |
| Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure. | Oelen R et al. | — | 2022 | → |
| Spermidine reduces neuroinflammation and soluble amyloid beta in an Alzheimer's disease mouse model. | Freitag K et al. | — | 2022 | → |
| Statistical methods for Mendelian randomization in genome-wide association studies: A review. | Boehm FJ et al. | — | 2022 | → |
| Systematic genetic testing for recessively inherited monogenic diabetes: a cross-sectional study in paediatric diabetes clinics. | Patel KA et al. | — | 2022 | → |
| Targeting Protein Tyrosine Phosphatase 22 Does Not Enhance the Efficacy of Chimeric Antigen Receptor T Cells in Solid Tumors. | Du X et al. | — | 2022 | → |
| The alleles of AGT and HIF1A gene affect the risk of hypertension in plateau residents. | Li Z et al. | — | 2022 | → |
| The challenge of detecting recent natural selection in human populations. | Mills MC et al. | — | 2022 | → |
| The European Genome-phenome Archive in 2021. | Freeberg MA et al. | — | 2022 | → |
| The Medaka Inbred Kiyosu-Karlsruhe (MIKK) panel. | Fitzgerald T et al. | — | 2022 | → |
| The next 10 years of behavioural genomic research. | Plomin R | — | 2022 | → |
| The pseudogenes of eukaryotic translation elongation factors (EEFs): Role in cancer and other human diseases. | Cristiano L | — | 2022 | → |
| Therapeutic strategies targeting inflammation and immunity in atherosclerosis: how to proceed? | Engelen SE et al. | — | 2022 | → |
| The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study. | Gholami F et al. | — | 2022 | → |
| The Roles of Par3, Par6, and aPKC Polarity Proteins in Normal Neurodevelopment and in Neurodegenerative and Neuropsychiatric Disorders. | Zhang L et al. | — | 2022 | → |
| The UK Biobank: A Shining Example of Genome-Wide Association Study Science with the Power to Detect the Murky Complications of Real-World Epidemiology. | Tan VY et al. | — | 2022 | → |
| Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes. | Li L et al. | — | 2022 | → |
| Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. | Stuart PE et al. | — | 2022 | → |
| Translational Genomic Research: The Association between Genetic Profiles and Cognitive Functioning or Cardiac Function Among Breast Cancer Survivors Completing Chemotherapy. | Park JY et al. | — | 2022 | → |
| Type 2 Diabetes-Related Variants Influence the Risk of Developing Prostate Cancer: A Population-Based Case-Control Study and Meta-Analysis. | Sánchez-Maldonado JM et al. | — | 2022 | → |
| Ubiquitin-modifying enzymes as regulators of colitis. | Ruan J et al. | — | 2022 | → |
| Uncertainty quantification in variable selection for genetic fine-mapping using bayesian neural networks. | Cheng W et al. | — | 2022 | → |
| Unfolding the genotype-to-phenotype black box of cardiovascular diseases through cross-scale modeling. | Xi X et al. | — | 2022 | → |
| Using Mendelian randomization as the cornerstone for causal inference in epidemiology. | Xu J et al. | — | 2022 | → |
| Using potential variable to study gene-gene and gene-environment interaction effects with genetic model uncertainty. | Hu X et al. | — | 2022 | → |
| 100 years post-insulin: immunotherapy as the next frontier in type 1 diabetes. | Pearson JA et al. | — | 2021 | → |
| A 3' Untranslated Region Polymorphism of CTNNB1 (Rs2953) Alters MiR-3161 Binding and Affects the Risk of Ischemic Stroke and Coronary Artery Disease in Chinese Han Population. | Zhao XY et al. | — | 2021 | → |
| A Bayesian hierarchically structured prior for rare-variant association testing. | Yang Y et al. | — | 2021 | → |
| A candidate biological network formed by genes from genomic and hypothesis-free scans of suicide. | Sokolowski M et al. | — | 2021 | → |
| Accounting for Population Structure and Phenotypes From Relatives in Association Mapping for Farm Animals: A Simulation Study. | Mancin E et al. | — | 2021 | → |
| Accurate imputation of human leukocyte antigens with CookHLA. | Cook S et al. | — | 2021 | → |
| A Decade in Review after Idiopathic Scoliosis Was First Called a Complex Trait-A Tribute to the Late Dr. Yves Cotrel for His Support in Studies of Etiology of Scoliosis. | Tang NLS et al. | — | 2021 | → |
| Advances and challenges in quantitative delineation of the genetic architecture of complex traits. | Tang H et al. | — | 2021 | → |
| Advances in Genomic Discovery and Implications for Personalized Prevention and Medicine: Estonia as Example. | Prins BP et al. | — | 2021 | → |
| Advances in Genomics Research of Blood Pressure Responses to Dietary Sodium and Potassium Intakes. | Razavi MA et al. | — | 2021 | → |
| A genome-wide association study identifies novel candidate genes for susceptibility to diabetes mellitus in non-obese cats. | Forcada Y et al. | — | 2021 | → |
| Aggregating multiple expression prediction models improves the power of transcriptome-wide association studies. | Zeng P et al. | — | 2021 | → |
| A Likelihood Ratio Test for Gene-Environment Interaction Based on the Trend Effect of Genotype Under an Additive Risk Model Using the Gene-Environment Independence Assumption. | de Rochemonteix M et al. | — | 2021 | → |
| An Academic Clinician's Road Map to Hypertension Genomics: Recent Advances and Future Directions MMXX. | Magavern EF et al. | — | 2021 | → |
| Analyzing host-viral interactome of SARS-CoV-2 for identifying vulnerable host proteins during COVID-19 pathogenesis. | Das JK et al. | — | 2021 | → |
| A narrative review of circular RNAs as potential biomarkers and therapeutic targets for cardiovascular diseases. | Liu C et al. | — | 2021 | → |
| An Improved Genome-Wide Polygenic Score Model for Predicting the Risk of Type 2 Diabetes. | Liu W et al. | — | 2021 | → |
| A non-linear regression method for estimation of gene-environment heritability. | Kerin M et al. | — | 2021 | → |
| A novel transcriptional risk score for risk prediction of complex human diseases. | Shan N et al. | — | 2021 | → |
| Arterial Hypertension: Individual Therapeutic Approaches-From DNA Sequencing to Gender Differentiation and New Therapeutic Targets. | Luca CT et al. | — | 2021 | → |
| Association between genetic variants in <i>ZNF365</i> and inflammatory bowel disease risk in Caucasians: a meta-analysis and trial sequential analysis. | Wu PB et al. | — | 2021 | → |
| Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment. | Morra A et al. | — | 2021 | → |
| Atherosclerosis and Inflammatory Bowel Disease-Shared Pathogenesis and Implications for Treatment. | Kamperidis N et al. | — | 2021 | → |
| A Two-Gene-Based Diagnostic Signature for Ruptured Intracranial Aneurysms. | Li Y et al. | — | 2021 | → |
| Autophagy in inflammation, infection, and immunometabolism. | Deretic V | — | 2021 | → |
| Average semivariance yields accurate estimates of the fraction of marker-associated genetic variance and heritability in complex trait analyses. | Feldmann MJ et al. | — | 2021 | → |
| Birth weight, childhood obesity and risk of hypertension: a Mendelian randomization study. | Fan J et al. | — | 2021 | → |
| Can an Investigation of a Single Gene be Effective in Differentiating Certain Features of the Bipolar Disorder Profile? | Piras M et al. | — | 2021 | → |
| Capturing SNP Association across the NK Receptor and HLA Gene Regions in Multiple Sclerosis by Targeted Penalised Regression Models. | Burnard SM et al. | — | 2021 | → |
| Causal relationship between the timing of menarche and young adult body mass index with consideration to a trend of consistently decreasing age at menarche. | Kim H et al. | — | 2021 | → |
| Celiac disease susceptibility: The genome and beyond. | García-Santisteban I et al. | — | 2021 | → |
| Cell-Free DNA in Rheumatoid Arthritis. | Hashimoto T et al. | — | 2021 | → |
| Challenges and strategies in the management of coronary artery aneurysms. | Zhu X et al. | — | 2021 | → |
| Cohort profile: Copenhagen Hospital Biobank - Cardiovascular Disease Cohort (CHB-CVDC): Construction of a large-scale genetic cohort to facilitate a better understanding of heart diseases. | Laursen IH et al. | — | 2021 | → |
| Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics. | Zhang Y et al. | — | 2021 | → |
| Computationally efficient whole-genome regression for quantitative and binary traits. | Mbatchou J et al. | — | 2021 | → |
| Coronary Artery Disease: Association Study of 5 Loci with Angiographic Indices of Disease Severity. | Bogari NM et al. | — | 2021 | → |
| Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies. | Kessler T et al. | — | 2021 | → |
| Data Integration Challenges for Machine Learning in Precision Medicine. | Martínez-García M et al. | — | 2021 | → |
| DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies. | Mieth B et al. | — | 2021 | → |
| Diabetes and Genetics: A Relationship Between Genetic Risk Alleles, Clinical Phenotypes and Therapeutic Approaches. | Sayed S et al. | — | 2021 | → |
| Differential genetic influences over colorectal cancer risk and gene expression in large bowel mucosa. | Vaughan-Shaw PG et al. | — | 2021 | → |
| Differential methylation of genes in the human placenta associated with bisphenol A exposure. | Song X et al. | — | 2021 | → |
| Direct tissue-sensing reprograms TLR4<sup>+</sup> Tfh-like cells inflammatory profile in the joints of rheumatoid arthritis patients. | Amaral-Silva D et al. | — | 2021 | → |
| DNA methylation as the link between migration and the major noncommunicable diseases: the RODAM study. | Chilunga FP et al. | — | 2021 | → |
| DR15-DQ6 remains dominantly protective against type 1 diabetes throughout the first five decades of life. | Thomas NJ et al. | — | 2021 | → |
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| Estimating disease prevalence in large datasets using genetic risk scores. | Evans BD et al. | — | 2021 | → |
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| Machine Learning Identifies Six Genetic Variants and Alterations in the Heart Atrial Appendage as Key Contributors to PD Risk Predictivity. | Ho D et al. | — | 2021 | → |
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| New susceptibility alleles associated with severe coronary artery stenosis in the Lebanese population. | Wakim V et al. | — | 2021 | → |
| Nine residues in HLA-DQ molecules determine with susceptibility and resistance to type 1 diabetes among young children in Sweden. | Zhao LP et al. | — | 2021 | → |
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| Rapid Macrosatellite Evolution Promotes X-Linked Hybrid Male Sterility in a Feline Interspecies Cross. | Bredemeyer KR et al. | — | 2021 | → |
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| Sequencing for germline mutations in Swedish breast cancer families reveals novel breast cancer risk genes. | Helgadottir HT et al. | — | 2021 | → |
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| The Association of Renal Function and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms in Metal Industrial Workers and General Population. | Chen TH et al. | — | 2021 | → |
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| Whole-genome re-sequencing association study on yearling wool traits in Chinese fine-wool sheep. | Zhao H et al. | — | 2021 | → |
| Why Inhibition of IL-23 Lacked Efficacy in Ankylosing Spondylitis. | McGonagle D et al. | — | 2021 | → |
| 15 years of genome-wide association studies and no signs of slowing down. | Loos RJF | — | 2020 | → |
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| Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer. | Seabury CM et al. | — | 2020 | → |
| Active Cigarette Smoking Is Associated With an Exacerbation of Genetic Susceptibility to Diabetes. | Lin WY et al. | — | 2020 | → |
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| A Variant in the Nicotinic Acetylcholine Receptor Alpha 3 Subunit Gene Is Associated With Hypertension Risks in Hypogonadic Patients. | Wu T et al. | — | 2020 | → |
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| Biomarkers for Heart Failure Prognosis: Proteins, Genetic Scores and Non-coding RNAs. | Shrivastava A et al. | — | 2020 | → |
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| Dynamic TF-lncRNA Regulatory Networks Revealed Prognostic Signatures in the Development of Ovarian Cancer. | Guo Q et al. | — | 2020 | → |
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| From personalised nutrition to precision medicine: the rise of consumer genomics and digital health. | Moore JB | — | 2020 | → |
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| Genetic susceptibility of increased intestinal permeability is associated with progressive liver disease and diabetes in patients with non-alcoholic fatty liver disease. | Miele L et al. | — | 2020 | → |
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| Histone Deacetylation 10 Alleviates Inflammation After Intracerebral Hemorrhage via the PTPN22/NLRP3 Pathway in Rats. | Wang L et al. | — | 2020 | → |
| HLA-DQA1*05 Carriage Associated With Development of Anti-Drug Antibodies to Infliximab and Adalimumab in Patients With Crohn's Disease. | Sazonovs A et al. | — | 2020 | → |
| Host-Pathogen Dialogues in Autophagy, Apoptosis, and Necrosis during Mycobacterial Infection. | Kim JK et al. | — | 2020 | → |
| Human Insulin Growth Factor 2 mRNA Binding Protein 2 Increases MicroRNA 33a/b Inhibition of Liver <i>ABCA1</i> Expression and Alters Low-Density Apolipoprotein Levels in Mice. | Yang M et al. | — | 2020 | → |
| Hyperketonemia GWAS and parity-dependent SNP associations in Holstein dairy cows intensively sampled for blood β-hydroxybutyrate concentration. | Pralle RS et al. | — | 2020 | → |
| Hypertension and the roles of the 9p21.3 risk locus: Classic findings and new association data. | Gallo JE et al. | — | 2020 | → |
| Identification of novel breast cancer susceptibility loci in meta-analyses conducted among Asian and European descendants. | Shu X et al. | — | 2020 | → |
| Identification of single-nucleotide variants associated with susceptibility to Salmonella in pigs using a genome-wide association approach. | Schut CH et al. | — | 2020 | → |
| Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes. | Shafquat A et al. | — | 2020 | → |
| Identifying the immune interactions underlying HLA class I disease associations. | Debebe BJ et al. | — | 2020 | → |
| IGREX for quantifying the impact of genetically regulated expression on phenotypes. | Cai M et al. | — | 2020 | → |
| IL-21 gene rs6822844 polymorphism and rheumatoid arthritis susceptibility. | Yu M et al. | — | 2020 | → |
| IL23 Promotes Antimicrobial Pathways in Human Macrophages, Which Are Reduced With the IBD-Protective IL23R R381Q Variant. | Sun R et al. | — | 2020 | → |
| Immunological roles of intestinal mesenchymal cells. | Thomson CA et al. | — | 2020 | → |
| Impact of type 2 diabetes variants identified through genome-wide association studies in early-onset type 2 diabetes from South Indian population. | Liju S et al. | — | 2020 | → |
| Increased Plasma Soluble Interleukin-2 Receptor Alpha Levels in Patients With Long-Term Type 1 Diabetes With Vascular Complications Associated With <i>IL2RA</i> and <i>PTPN2</i> Gene Polymorphisms. | Keindl M et al. | — | 2020 | → |
| Increased time sampling in an evolve-and-resequence experiment with outcrossing Saccharomyces cerevisiae reveals multiple paths of adaptive change. | Phillips MA et al. | — | 2020 | → |
| Indonesians Human Leukocyte Antigen (HLA) Distributions and Correlations with Global Diseases. | Pradana KA et al. | — | 2020 | → |
| Inflammatory bowel disease: between genetics and microbiota. | Younis N et al. | — | 2020 | → |
| In Search for Genes Related to Atherosclerosis and Dyslipidemia Using Animal Models. | Poznyak AV et al. | — | 2020 | → |
| Intolerance of loud sounds in childhood: Is there an intergenerational association with grandmaternal smoking in pregnancy? | Hall A et al. | — | 2020 | → |
| Investigating the GWAS-Implicated Loci for Rheumatoid Arthritis in the Pakistani Population. | Aslam MM et al. | — | 2020 | → |
| Investigation of prediction accuracy and the impact of sample size, ancestry, and tissue in transcriptome-wide association studies. | Fryett JJ et al. | — | 2020 | → |
| Irgm1-deficiency leads to myeloid dysfunction in colon lamina propria and susceptibility to the intestinal pathogen Citrobacter rodentium. | Taylor GA et al. | — | 2020 | → |
| JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-Wide Associations on Multiple Diseases. | Guo X | — | 2020 | → |
| KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters. | Yin L et al. | — | 2020 | → |
| Kinship Solutions for Partially Observed Multiphenotype Data. | Elliott LT | — | 2020 | → |
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| Learning gene networks underlying clinical phenotypes using SNP perturbation. | McCarter C et al. | — | 2020 | → |
| Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies. | Song S et al. | — | 2020 | → |
| Leveraging Genome and Phenome-Wide Association Studies to Investigate Genetic Risk of Acute Lymphoblastic Leukemia. | Semmes EC et al. | — | 2020 | → |
| Loci Associated With Antibody Response in Feral Swine (<i>Sus scrofa</i>) Infected With <i>Brucella suis</i>. | Pierce CF et al. | — | 2020 | → |
| Loci associated with conception rate in crossbred beef heifers. | Oliver KF et al. | — | 2020 | → |
| Lynch Syndrome-Associated Variants and Cancer Rates in an Ancestrally Diverse Biobank. | Rosenblum RE et al. | — | 2020 | → |
| Mammalian Atg8 proteins and the autophagy factor IRGM control mTOR and TFEB at a regulatory node critical for responses to pathogens. | Kumar S et al. | — | 2020 | → |
| Mendelian randomization analysis does not support causal associations of birth weight with hypertension risk and blood pressure in adulthood. | Zheng Y et al. | — | 2020 | → |
| Metabolite Genome-Wide Association Study (mGWAS) and Gene-Metabolite Interaction Network Analysis Reveal Potential Biomarkers for Feed Efficiency in Pigs. | Wang X et al. | — | 2020 | → |
| MicroRNA23a Overexpression in Crohn's Disease Targets Tumour Necrosis Factor Alpha Inhibitor Protein 3, Increasing Sensitivity to TNF and Modifying the Epithelial Barrier. | Felwick RK et al. | — | 2020 | → |
| Modularity/non-cumulativity of quantitative trait loci on blood pressure. | Deng AY | — | 2020 | → |
| Modulation of TCR Signaling by Tyrosine Phosphatases: From Autoimmunity to Immunotherapy. | Castro-Sanchez P et al. | — | 2020 | → |
| Multikernel linear mixed model with adaptive lasso for complex phenotype prediction. | Wen Y et al. | — | 2020 | → |
| Multi-trait analysis of rare-variant association summary statistics using MTAR. | Luo L et al. | — | 2020 | → |
| Native American ancestry significantly contributes to neuromyelitis optica susceptibility in the admixed Mexican population. | Romero-Hidalgo S et al. | — | 2020 | → |
| Next steps in the identification of gene targets for type 1 diabetes. | Grant SFA et al. | — | 2020 | → |
| Noncoding RNAs in vascular smooth muscle cell function and neointimal hyperplasia. | Maguire EM et al. | — | 2020 | → |
| Novel methods for epistasis detection in genome-wide association studies. | Slim L et al. | — | 2020 | → |
| Partitioning gene-based variance of complex traits by gene score regression. | Zhang W et al. | — | 2020 | → |
| Pathophysiology of diabetes: An overview. | Banday MZ et al. | — | 2020 | → |
| Penalized regression and model selection methods for polygenic scores on summary statistics. | Pattee J et al. | — | 2020 | → |
| Personalized medicine in rheumatic diseases: how close are we to being able to use genetic biomarkers to predict response to TNF inhibitors? | Sutcliffe M et al. | — | 2020 | → |
| Physical Activity, Genetic Susceptibility, and the Risk of Latent Autoimmune Diabetes in Adults and Type 2 Diabetes. | Hjort R et al. | — | 2020 | → |
| Polygenic inheritance, GWAS, polygenic risk scores, and the search for functional variants. | Crouch DJM et al. | — | 2020 | → |
| PPARG (Pro12Ala) genetic variant and risk of T2DM: a systematic review and meta-analysis. | Sarhangi N et al. | — | 2020 | → |
| Precision medicine in the era of artificial intelligence: implications in chronic disease management. | Subramanian M et al. | — | 2020 | → |
| Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups. | Dikilitas O et al. | — | 2020 | → |
| Presence of PTPN2 SNP rs1893217 Enhances the Anti-inflammatory Effect of Spermidine. | Niechcial A et al. | — | 2020 | → |
| Probabilistic Estimation of Identity by Descent Segment Endpoints and Detection of Recent Selection. | Browning SR et al. | — | 2020 | → |
| Protein Tyrosine Phosphatase Non-Receptor Type 2 Function in Dendritic Cells Is Crucial to Maintain Tissue Tolerance. | Hering L et al. | — | 2020 | → |
| PTMsnp: A Web Server for the Identification of Driver Mutations That Affect Protein Post-translational Modification. | Peng D et al. | — | 2020 | → |
| PTPN2 Deficiency Enhances Programmed T Cell Expansion and Survival Capacity of Activated T Cells. | Flosbach M et al. | — | 2020 | → |
| PTPN2 negatively regulates macrophage inflammation in atherosclerosis. | Hu X et al. | — | 2020 | → |
| PTPN2 phosphatase deletion in T cells promotes anti-tumour immunity and CAR T-cell efficacy in solid tumours. | Wiede F et al. | — | 2020 | → |
| PTPN2 Regulates Interactions Between Macrophages and Intestinal Epithelial Cells to Promote Intestinal Barrier Function. | Spalinger MR et al. | — | 2020 | → |
| Ranbow: A fast and accurate method for polyploid haplotype reconstruction. | Moeinzadeh MH et al. | — | 2020 | → |
| Rapid epistatic mixed-model association studies by controlling multiple polygenic effects. | Wang D et al. | — | 2020 | → |
| Real-state of autophagy signaling pathway in neurodegenerative disease; focus on multiple sclerosis. | Hassanpour M et al. | — | 2020 | → |
| Regulatory T Cell-Specific Epigenomic Region Variants Are a Key Determinant of Susceptibility to Common Autoimmune Diseases. | Ohkura N et al. | — | 2020 | → |
| Rs10757274 gene polymorphisms in coronary artery disease: A systematic review and a meta-analysis. | Xu LB et al. | — | 2020 | → |
| Sex-specific autosomal genetic effects across 26 human complex traits. | Lin WY et al. | — | 2020 | → |
| Sex-Specific Genetic Associations for Barrett's Esophagus and Esophageal Adenocarcinoma. | Dong J et al. | — | 2020 | → |
| Simulation-Based Evaluation of Three Methods for Local Ancestry Deconvolution of Non-model Crop Species Genomes. | Cottin A et al. | — | 2020 | → |
| Strain-level epidemiology of microbial communities and the human microbiome. | Yan Y et al. | — | 2020 | → |
| Strategies employed by viruses to manipulate autophagy. | Dinesh Kumar N et al. | — | 2020 | → |
| Susceptible gene polymorphism in patients with three-vessel coronary artery disease. | Liu R et al. | — | 2020 | → |
| TDAG51 (T-Cell Death-Associated Gene 51) Is a Key Modulator of Vascular Calcification and Osteogenic Transdifferentiation of Arterial Smooth Muscle Cells. | Platko K et al. | — | 2020 | → |
| Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies. | Yuan Z et al. | — | 2020 | → |
| [The analysis of association between multiple sclerosis and genetic markers identified in genome-wide association studies]. | Timasheva YR et al. | — | 2020 | → |
| The autoimmune susceptibility gene, <i>PTPN2</i>, restricts expansion of a novel mouse adherent-invasive <i>E. coli</i>. | Shawki A et al. | — | 2020 | → |
| The Effect Sizes of <i>PPARγ</i> rs1801282<i>, FTO</i> rs9939609, and <i>MC4R</i> rs2229616 Variants on Type 2 Diabetes Mellitus Risk among the Western Saudi Population: A Cross-Sectional Prospective Study. | Bakhashab S et al. | — | 2020 | → |
| The genetics of rheumatoid arthritis. | Dedmon LE | — | 2020 | → |
| The haplotypes of various TNF related genes associated with scleritis in Chinese Han. | Gao Y et al. | — | 2020 | → |
| The Long Non-coding Road to Atherosclerosis. | Josefs T et al. | — | 2020 | → |
| The Relationship Between Cognitive Status and Known Single Nucleotide Polymorphisms in Age-Related Macular Degeneration. | Murphy C et al. | — | 2020 | → |
| The Role of Epigenetics in Type 1 Diabetes. | Xie Z et al. | — | 2020 | → |
| The Role of Protein Tyrosine Phosphatases in Inflammasome Activation. | Spalinger MR et al. | — | 2020 | → |
| The rs11755527 polymorphism in the BACH2 gene and type 1 diabetes mellitus: case control study in a Brazilian population. | Dieter C et al. | — | 2020 | → |
| Time spent watching television impacts on body mass index in youth with obesity, but only in those with shortest sleep duration. | Golshevsky DM et al. | — | 2020 | → |
| Transcription factor p73 regulates Th1 differentiation. | Ren M et al. | — | 2020 | → |
| Transition of Neural Activity From the Chaotic Bipolar-Disorder State to the Periodic Healthy State Using External Feedback Signals. | Doho H et al. | — | 2020 | → |
| Two-stage Bayesian GWAS of 9576 individuals identifies SNP regions that are targeted by miRNAs inversely expressed in Alzheimer's and cancer. | Pathak GA et al. | — | 2020 | → |
| Two Synthetic 18-Way Outcrossed Populations of Diploid Budding Yeast with Utility for Complex Trait Dissection. | Linder RA et al. | — | 2020 | → |
| Type 1 diabetes can present before the age of 6 months and is characterised by autoimmunity and rapid loss of beta cells. | Johnson MB et al. | — | 2020 | → |
| Type 1 diabetes: genes associated with disease development. | Klak M et al. | — | 2020 | → |
| Type 1 diabetes genetic risk score is discriminative of diabetes in non-Europeans: evidence from a study in India. | Harrison JW et al. | — | 2020 | → |
| Understanding Drug Repurposing From the Perspective of Biomedical Entities and Their Evolution: Bibliographic Research Using Aspirin. | Li X et al. | — | 2020 | → |
| Update on NAFLD genetics: From new variants to the clinic. | Trépo E et al. | — | 2020 | → |
| Using Genetic Risk Score Approaches to Infer Whether an Environmental Factor Attenuates or Exacerbates the Adverse Influence of a Candidate Gene. | Lin WY et al. | — | 2020 | → |
| Validating the doubly weighted genetic risk score for the prediction of type 2 diabetes in the Lifelines and Estonian Biobank cohorts. | Pärna K et al. | — | 2020 | → |
| Analysis of differences in human leukocyte antigen between the two Wellcome Trust Case Control Consortium control datasets. | Jang CS et al. | — | 2019 | → |
| aPKC in neuronal differentiation, maturation and function. | Hapak SM et al. | — | 2019 | → |
| Assessing the performance of genome-wide association studies for predicting disease risk. | Patron J et al. | — | 2019 | → |
| Characteristics of Slow Progression to Type 1 Diabetes in Children With Increased HLA-Conferred Disease Risk. | Pöllänen PM et al. | — | 2019 | → |
| Development and validation of multivariable clinical diagnostic models to identify type 1 diabetes requiring rapid insulin therapy in adults aged 18-50 years. | Lynam A et al. | — | 2019 | → |
| Discovering genetic interactions bridging pathways in genome-wide association studies. | Fang G et al. | — | 2019 | → |
| Distinct Genetic Signatures of Cortical and Subcortical Regions Associated with Human Memory. | Tan PK et al. | — | 2019 | → |
| DNA methylation of antisense noncoding RNA in the INK locus (ANRIL) is associated with coronary artery disease in a Chinese population. | Zhao CH et al. | — | 2019 | → |
| DNA Methylation Signatures of Breastfeeding in Buccal Cells Collected in Mid-Childhood. | Odintsova VV et al. | — | 2019 | → |
| Efficient CRISPR/Cas9 Disruption of Autoimmune-Associated Genes Reveals Key Signaling Programs in Primary Human T Cells. | Anderson W et al. | — | 2019 | → |
| Enriching Personalized Endometrial Cancer Research with the Harmonization of Biobanking Standards. | Adishesh M et al. | — | 2019 | → |
| Genetic Risk Scores for Diabetes Diagnosis and Precision Medicine. | Udler MS et al. | — | 2019 | → |
| Genome-wide association and genotype by environment interactions for growth traits in U.S. Gelbvieh cattle. | Smith JL et al. | — | 2019 | → |
| Genomic Analysis of Spontaneous Abortion in Holstein Heifers and Primiparous Cows. | Oliver KF et al. | — | 2019 | → |
| How to approach understanding complex trait genetics - inflammatory bowel disease as a model complex trait. | Cleynen I et al. | — | 2019 | → |
| Identification and Validation of Candidate Genes Involved in Fatty Acid Content in Oil Palm by Genome-Wide Association Analysis. | Xia W et al. | — | 2019 | → |
| Identification of four novel associations for B-cell acute lymphoblastic leukaemia risk. | Vijayakrishnan J et al. | — | 2019 | → |
| <i>Helicobacter pylori</i> Virulence Factors Exploiting Gastric Colonization and its Pathogenicity. | Ansari S et al. | — | 2019 | → |
| Immune checkpoint molecules. Possible future therapeutic implications in autoimmune diseases. | Huang C et al. | — | 2019 | → |
| Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania. | Malaria Genomic Epidemiology Network | — | 2019 | → |
| Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicine. | Kumar M et al. | — | 2019 | → |
| LEP: A Statistical Method Integrating Individual-Level and Summary-Level Data of the Same Trait From Different Populations. | Dai M et al. | — | 2019 | → |
| Linking of genetic risk variants to disease-specific gene expression via multi-omics studies in rheumatoid arthritis. | Suzuki A et al. | — | 2019 | → |
| Midnolin is a confirmed genetic risk factor for Parkinson's disease. | Obara Y et al. | — | 2019 | → |
| Minor Effects of 11 <i>Dof</i> Family Genes Contribute to the Missing Heritability of Heading Date in Rice (<i>Oryza sativa</i> L.). | Huang Y et al. | — | 2019 | → |
| Polygenic approaches to detect gene-environment interactions when external information is unavailable. | Lin WY et al. | — | 2019 | → |
| Region-based interaction detection in genome-wide case-control studies. | Zhang S et al. | — | 2019 | → |
| The association of TNF-α -308G/A and -238G/A polymorphisms with type 2 diabetes mellitus: a meta-analysis. | Guo X et al. | — | 2019 | → |
| The Evolving Field of Genetic Epidemiology: From Familial Aggregation to Genomic Sequencing. | Duggal P et al. | — | 2019 | → |
| The Genetic Contribution to Type 1 Diabetes. | Bakay M et al. | — | 2019 | → |
| The Molecular Genetics of Gordon Syndrome. | Mabillard H et al. | — | 2019 | → |
| The Storytelling Brain: How Neuroscience Stories Help Bridge the Gap between Research and Society. | Martinez-Conde S et al. | — | 2019 | → |
| Within family Mendelian randomization studies. | Davies NM et al. | — | 2019 | → |