10 Years of GWAS Discovery: Biology, Function, and Translation.
paper
Cited
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Unavailable
- Authors
- Visscher, Peter M; Wray, Naomi R; Zhang, Qian; Sklar, Pamela; McCarthy, Mark I; Brown, Matthew A; Yang, Jian
- Year
- 2017
- Journal
- American journal of human genetics
- PMID
- 28686856
- DOI
- 10.1016/j.ajhg.2017.06.005
- PMCID
- PMC5501872
Application of the experimental design of genome-wide association studies (GWASs) is now 10 years old (young), and here we review the remarkable range of discoveries it has facilitated in population and complex-trait genetics, the biology of diseases, and translation toward new therapeutics. We predict the likely discoveries in the next 10 years, when GWASs will be based on millions of samples with array data imputed to a large fully sequenced reference panel and on hundreds of thousands of samples with whole-genome sequencing data.
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|---|---|---|---|---|
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| Investigating the Relationships Between Neurodegenerative Diseases and Cancer Types: A Computational Approach. | Cava C et al. | — | 2025 | → |
| Investigating the shared genetic architecture between schizophrenia and sex hormone traits. | He X et al. | — | 2025 | → |
| Large language models deconstruct the clinical intuition behind diagnosing autism. | Stanley J et al. | — | 2025 | → |
| LDAK-KVIK performs fast and powerful mixed-model association analysis of quantitative and binary phenotypes. | Hof JP et al. | — | 2025 | → |
| Lessons in adjusting for genetic confounding in population research on education and health. | Zacher M et al. | — | 2025 | → |
| Leveraging Distributed Brain Signal at Rest to Predict Internalizing Symptoms in Youth: Deriving a Polyneuro Risk Score From the ABCD Study Cohort. | Kliamovich D et al. | — | 2025 | → |
| Leveraging transcriptome-wide association studies identifies the relationship between upper respiratory flora and cell type-specific gene expression in severe respiratory disease. | Xu L et al. | — | 2025 | → |
| Limitations of genomics to predict and treat autism: a disorder born in the womb. | Ben-Ari Y et al. | — | 2025 | → |
| Link between the ESR2 (rs3020449) polymorphism and breast cancer risk in Bangladeshi women. | Shayla TA et al. | — | 2025 | → |
| MAAT: a new nonparametric Bayesian framework for incorporating multiple functional annotations in transcriptome-wide association studies. | Wang H et al. | — | 2025 | → |
| Machine learning in Alzheimer's disease genetics. | Bracher-Smith M et al. | — | 2025 | → |
| Machine learning: Python tools for studying biomolecules and drug design. | Ryzhkov FV et al. | — | 2025 | → |
| Mapping the regulatory genetic landscape of complex traits using a chicken advanced intercross line. | Zhu X et al. | — | 2025 | → |
| Mathematical bounds on r<sup>2</sup> and the effect size in case-control genome-wide association studies. | Paye SM et al. | — | 2025 | → |
| Mendelian randomization study reveals causal association between skin microbiome and skin cancers. | He Y et al. | — | 2025 | → |
| Metabolic plasticity and adaptive evolution in <i>Fragaria vesca</i>: bridging wild diversity to crop improvement. | Pérez-Martín JE et al. | — | 2025 | → |
| MetaGeno: a chromosome-wise multi-task genomic framework for ischaemic stroke risk prediction. | Yang Y et al. | — | 2025 | → |
| ML-MAGES enables multivariate genetic association analyses with genes and effect size shrinkage. | Liu X et al. | — | 2025 | → |
| Monitoring diversity in genome-wide association studies requires measuring and reporting on immigration-related factors. | Tu Y et al. | — | 2025 | → |
| MRdb: a comprehensive database of univariate and multivariate Mendelian randomization with large-scale GWAS summary data. | Liu Q et al. | — | 2025 | → |
| Multi-Genome-Wide association studies provide new insights into the genetic architecture of Varroa resistance in honeybees. | Davoodi P et al. | — | 2025 | → |
| Multi-INTACT: integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits. | Okamoto J et al. | — | 2025 | → |
| Multi-omics: a bridge connecting genotype and phenotype for epilepsy? | Wang NN et al. | — | 2025 | → |
| Multi-omics analysis indicates an association between TAPBP and prostate cancer. | Wang X et al. | — | 2025 | → |
| Multi-omics and Mendelian randomization study explores potential therapeutic targets for meningiomas. | Li Y et al. | — | 2025 | → |
| Multi-omics approaches for understanding gene-environment interactions in noncommunicable diseases: techniques, translation, and equity issues. | Alemu R et al. | — | 2025 | → |
| Multiple susceptibility enhancer variants increasing <i>ADD3</i> expression predisposes to biliary atresia risk. | Han X et al. | — | 2025 | → |
| Multi-polygenic score prediction of mathematics, reading, and language abilities independent of general cognitive ability. | Procopio F et al. | — | 2025 | → |
| Mycobacterium tuberculosis impairs protective cytokine production via transcription factor MafB manipulation. | Saiga H et al. | — | 2025 | → |
| Natural selection acting on complex traits hampers the predictive accuracy of polygenic scores in ancient samples. | Añorve-Garibay V et al. | — | 2025 | → |
| No Associations Between Genetically Predicted Chronotype, Insomnia, Daytime Sleepiness, or Physical Activity and Acne Vulgaris: A Two-Sample Mendelian Randomization Study. | Tian C | — | 2025 | → |
| Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese. | Zhou D et al. | — | 2025 | → |
| Non-synonymous single nucleotide polymorphisms (nsSNPs) within the extracellular domains of the GPM6A gene impair hippocampal neuron development. | León A et al. | — | 2025 | → |
| Opportunities and challenges of local ancestry in genetic association analyses. | Sun Q et al. | — | 2025 | → |
| Patient perspectives after receiving simulated preconception polygenic risk scores (PRS) for family planning. | Katz M et al. | — | 2025 | → |
| PIGEON: a statistical framework for estimating gene-environment interaction for polygenic traits. | Miao J et al. | — | 2025 | → |
| Planting Genomes in the Wild: <i>Arabidopsis</i> from Genetics History to the Ecology and Evolutionary Genomics Era. | Leventhal L et al. | — | 2025 | → |
| Polyconnectomic Scoring of Functional Connectivity Patterns Across Eight Neuropsychiatric and Three Neurodegenerative Disorders. | Libedinsky I et al. | — | 2025 | → |
| POLYCYSTIC OVARY SYNDROME: ORIGINS AND IMPLICATIONS: Genetics of polycystic ovary syndrome (PCOS). | Louwers YV et al. | — | 2025 | → |
| Polygenic prediction and gene regulation networks. | Poyatos JF | — | 2025 | → |
| Polygenic scores and their applications in kidney disease. | Khan A et al. | — | 2025 | → |
| Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees. | Slavov GT et al. | — | 2025 | → |
| Potentially diagnostic and prognostic roles of piRNAs/PIWIs in pancreatic cancer: A review. | Liu Y et al. | — | 2025 | → |
| Precision nutrition in sports science: an opinion on omics-based personalization and athletic outcomes. | Penggalih MHST et al. | — | 2025 | → |
| Predicting Forest Tree Leaf Phenology Under Climate Change Using Satellite Monitoring and Population-Based Genomic Trait Association. | Pfenninger M et al. | — | 2025 | → |
| Predicting Lung Cancer in Korean Never-Smokers With Polygenic Risk Scores. | Kim J et al. | — | 2025 | → |
| Programmable mRNA therapeutics for controlled epigenomic modulation of single and multiplexed gene expression in diverse diseases. | O'Donnell CW et al. | — | 2025 | → |
| Protein and gene levels of DNAJC21 and RNF5 as drug targets for immune thrombocytopenia: optimized post-GWAS insights. | Li X et al. | — | 2025 | → |
| PTPN2 and Leukopenia in Individuals With Normal TPMT and NUDT15 Metabolizer Status Taking Azathioprine. | Daniel LL et al. | — | 2025 | → |
| Realizing the promise of genome-wide association studies for effector gene prediction. | Costanzo MC et al. | — | 2025 | → |
| Refining fine-mapping: Effect sizes and regional heritability. | Benner C et al. | — | 2025 | → |
| Reveal genomic insights into cotton domestication and improvement using gene level functional haplotype-based GWAS. | Qi G et al. | — | 2025 | → |
| Semiparametric efficient estimation of small genetic effects in large-scale population cohorts. | Labayle O et al. | — | 2025 | → |
| Sequence-based GWAS in 180,000 German Holstein cattle reveals new candidate variants for milk production traits. | Križanac AM et al. | — | 2025 | → |
| Shared genetic architecture between leukocyte telomere length and Alzheimer's disease. | Cao Z et al. | — | 2025 | → |
| Shared genetic risk and causal associations between Post-traumatic stress disorder and migraine with antithrombotic agents and other medications. | Bainomugisa CK et al. | — | 2025 | → |
| Shedding Light on Antisocial Behavior Through Genetically Informed Research. | Pezzoli P et al. | — | 2025 | → |
| Single-nucleus multi-omics identifies shared and distinct pathways in Pick's and Alzheimer's disease. | Shi Z et al. | — | 2025 | → |
| Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits. | Wilson EP et al. | — | 2025 | → |
| Sleep disorders and aging: Mendelian randomization analysis of epigenetic and frailty markers. | Zhang Z et al. | — | 2025 | → |
| Statistical construction of calibrated prediction intervals for polygenic score-based phenotype prediction. | Xu C et al. | — | 2025 | → |
| Structural framework to address variant-gene relationship in primary open-angle glaucoma. | Singh N et al. | — | 2025 | → |
| stSNV: a comprehensive resource of SNVs in spatial transcriptome. | Yang C et al. | — | 2025 | → |
| Sugar consumption and its role in dental caries: Insights from a 2-sample Mendelian randomization study. | Lim SW et al. | — | 2025 | → |
| Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies. | Sun R et al. | — | 2025 | → |
| Testing for differences in polygenic scores in the presence of confounding. | Blanc J et al. | — | 2025 | → |
| The association between temperament and polygenic score for psychopathology from infancy to middle childhood. | Freitag E et al. | — | 2025 | → |
| The Fortunes of Genomic Medicine: A Quarter Century of Promise. | Sturdy S | — | 2025 | → |
| The fundamentals of multiplicity adjustment in biostatistics. | Izmirlian G et al. | — | 2025 | → |
| The genetic architecture of cervical length is shared with spontaneous preterm birth risk. | Wolf HM et al. | — | 2025 | → |
| The genetic basis of human height. | Bicknell LS et al. | — | 2025 | → |
| The genetic influence of sex on gene expression for blood in pigs. | Lin Q et al. | — | 2025 | → |
| The Genetics of Intelligence. | Reis A et al. | — | 2025 | → |
| The impact of sleep on breast cancer-specific mortality: a Mendelian randomisation study. | Hayes BL et al. | — | 2025 | → |
| The Pleiotropic Effect of ANRIL in Glaucoma and Cardiovascular Disease. | O'Brien L et al. | — | 2025 | → |
| The polygenic and poly-environmental nature of personality. | Kandler C et al. | — | 2025 | → |
| The proteogenomic landscape of the human kidney and implications for cardio-kidney-metabolic health. | Hirohama D et al. | — | 2025 | → |
| TICTAC: target illumination clinical trial analytics with cheminformatics. | Abok JI et al. | — | 2025 | → |
| Towards improved fine-mapping of candidate causal variants. | Li Z et al. | — | 2025 | → |
| Transfer Learning Prediction of Early Exposures and Genetic Risk Score on Adult Obesity in Two Minority Cohorts. | Chen W et al. | — | 2025 | → |
| Twenty years of genome-wide association studies: Health translation challenges and AI opportunities. | Huang J et al. | — | 2025 | → |
| Two novel SNPs rs1736952 and rs17354984 are highly associated with uveitis in ankylosing spondylitis. | Huang SC et al. | — | 2025 | → |
| Uncovering the Genetic Basis of Porcine Resilience Through GWAS of Feed Intake Data. | Wang Z et al. | — | 2025 | → |
| Unleashing the Power of Multiomics: Unraveling the Molecular Landscape of Peripheral Neuropathy. | Choi J et al. | — | 2025 | → |
| Unravelling the genetic architecture of cerebral small vessel disease in the context of stroke. | Chakkarai S et al. | — | 2025 | → |
| Using GWAS and Machine Learning to Identify and Predict Genetic Variants Associated with Foodborne Bacteria Phenotypic Traits. | Tsoumtsa Meda L et al. | — | 2025 | → |
| Using Large Genomic Biobanks to Generate Insights into Genetic Kidney Disease. | Chang AR et al. | — | 2025 | → |
| Utilising genomic association data for causal inference in anorexia nervosa. | Adams DM et al. | — | 2025 | → |
| Utilizing sc-linker to integrate single-cell RNA sequencing and human genetics to identify cell types and driver genes associated with non-small cell lung cancer. | Zhou Y et al. | — | 2025 | → |
| Whole-brain spatial distribution of serine incorporator 2 mRNA in adult C57BL/6 J mice. | Ke T et al. | — | 2025 | → |
| Whole genome resequencing reveals genetic markers for plumage colour in Jingyuan Chicken. | Yang L et al. | — | 2025 | → |
| Widespread recessive effects on common diseases in a cohort of 44,000 British Pakistanis and Bangladeshis with high autozygosity. | Heng TH et al. | — | 2025 | → |
| Winner's curse in rare variant analysis: effect size estimation bias depends on effect direction and the association method used. | Soave D et al. | — | 2025 | → |
| 18th International HLA and Immunogenetics Workshop: Report on the SNP-HLA Reference Consortium (SHLARC) component. | Silva NSB et al. | — | 2024 | → |
| A 30-nation investigation of lay heritability beliefs. | Ferris LJ et al. | — | 2024 | → |
| A brief guide to analyzing expression quantitative trait loci. | Ko BS et al. | — | 2024 | → |
| Accounting for genetic effect heterogeneity in fine-mapping and improving power to detect gene-environment interactions with SharePro. | Zhang W et al. | — | 2024 | → |
| Accounting for isoform expression increases power to identify genetic regulation of gene expression. | LaPierre N et al. | — | 2024 | → |
| A cell type-aware framework for nominating non-coding variants in Mendelian regulatory disorders. | Lee AS et al. | — | 2024 | → |
| A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations. | Fu S et al. | — | 2024 | → |
| A comprehensive update on genetic inheritance, epigenetic factors, associated pathology, and recent therapeutic intervention by gene therapy in schizophrenia. | R R et al. | — | 2024 | → |
| A cross-trait study of lung cancer and its related respiratory diseases based on large-scale exome sequencing population. | Jiang Y et al. | — | 2024 | → |
| A Developmentally-Informative Genome-wide Association Study of Alcohol Use Frequency. | Thomas NS et al. | — | 2024 | → |
| Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits. | Zhao S et al. | — | 2024 | → |
| A Genetic Analysis of Current Medication Use in the UK Biobank. | Rohde PD | — | 2024 | → |
| A genomic association study revealing subphenotypes of childhood steroid-sensitive nephrotic syndrome in a larger genomic sequencing cohort. | Chan H et al. | — | 2024 | → |
| A Glucocorticoid-Sensitive Hippocampal Gene Network Moderates the Impact of Early-Life Adversity on Mental Health Outcomes. | Arcego DM et al. | — | 2024 | → |
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| A holistic approach to understanding immune-mediated inflammatory diseases: bioinformatic tools to integrate omics data. | Borrego-Yaniz G et al. | — | 2024 | → |
| Allele frequency impacts the cross-ancestry portability of gene expression prediction in lymphoblastoid cell lines. | Saitou M et al. | — | 2024 | → |
| A Mendelian randomization study on associations between plasma lipidome, circulating inflammatory proteins, and erectile dysfunction. | Yu J et al. | — | 2024 | → |
| A multi-ethnic reference panel to impute HLA classical and non-classical class I alleles in admixed samples: Testing imputation accuracy in an admixed sample from Brazil. | Silva NSB et al. | — | 2024 | → |
| A multi-regional human brain atlas of chromatin accessibility and gene expression facilitates promoter-isoform resolution genetic fine-mapping. | Dong P et al. | — | 2024 | → |
| Analysis of novel sleep variable highlights shared genetics of sleep and psychiatric disorders. | Lind MJ | — | 2024 | → |
| Ancestry and genome-wide association study of domestic pigs that survive African swine fever in Uganda. | Ogweng P et al. | — | 2024 | → |
| An efficient, not-only-linear correlation coefficient based on clustering. | Pividori M et al. | — | 2024 | → |
| An ensemble penalized regression method for multi-ancestry polygenic risk prediction. | Zhang J et al. | — | 2024 | → |
| An externally validated resting-state brain connectivity signature of pain-related learning. | Kincses B et al. | — | 2024 | → |
| A novel locus in <i>CSMD1</i> gene is associated with increased susceptibility to severe malaria in Malian children. | Damena D et al. | — | 2024 | → |
| A novel method for multiple phenotype association studies based on genotype and phenotype network. | Cao X et al. | — | 2024 | → |
| Are novel treatments for brain disorders hiding in plain sight? | Duncan L et al. | — | 2024 | → |
| A scalable adaptive quadratic kernel method for interpretable epistasis analysis in complex traits. | Fu B et al. | — | 2024 | → |
| A sex-stratified analysis of the genetic architecture of human brain anatomy. | Shafee R et al. | — | 2024 | → |
| Assessment of the relationship between gut microbiota and bone mineral density: a two-sample Mendelian randomization study. | Xue Y et al. | — | 2024 | → |
| Association between gut microbiota and hepatocellular carcinoma and biliary tract cancer: A mendelian randomization study. | Zhang Y et al. | — | 2024 | → |
| Association between gut microbiota and menstrual disorders: a two-sample Mendelian randomization study. | Yao Y et al. | — | 2024 | → |
| Association between Interleukin-6 Gene Polymorphism (<i>rs1800795</i> and <i>rs1800796</i>) and Type 2 Diabetes Mellitus in a Ghanaian Population: A Case-Control Study in the Ho Municipality. | Obirikorang C et al. | — | 2024 | → |
| Association between parental psychiatric disorders and risk of offspring autism spectrum disorder: a Swedish and Finnish population-based cohort study. | Yin W et al. | — | 2024 | → |
| Association between vitamin D metabolism gene polymorphisms and schizophrenia. | Shboul M et al. | — | 2024 | → |
| A Systematic Review of Genetics and Reproductive Health Outcomes: Asian Perspective. | Long C et al. | — | 2024 | → |
| Beyond the factor indeterminacy problem using genome-wide association data. | Clapp Sullivan ML et al. | — | 2024 | → |
| Bias and mean squared error in Mendelian randomization with invalid instrumental variables. | Deng L et al. | — | 2024 | → |
| Biological and therapeutic implications of the cancer-related germline mutation landscape in lung cancer. | Panagiotou E et al. | — | 2024 | → |
| Body fluid multiomics in 3PM-guided ischemic stroke management: health risk assessment, targeted protection against health-to-disease transition, and cost-effective personalized approach are envisaged. | Chen R et al. | — | 2024 | → |
| Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort. | Pelt DHM et al. | — | 2024 | → |
| Cardiac Development at a Single-Cell Resolution. | Wei N et al. | — | 2024 | → |
| Causal association of circulating inflammatory proteins on neurodegenerative diseases: Insights from a mendelian randomization study. | Lin W et al. | — | 2024 | → |
| Causal associations between gut microbiota, circulating inflammatory proteins, and epilepsy: a multivariable Mendelian randomization study. | Yang H et al. | — | 2024 | → |
| Causal relationship between the gut microbiome and basal cell carcinoma, melanoma skin cancer, ease of skin tanning: evidence from three two-sample mendelian randomisation studies. | Lou J et al. | — | 2024 | → |
| Cell type and dynamic state govern genetic regulation of gene expression in heterogeneous differentiating cultures. | Popp JM et al. | — | 2024 | → |
| Cellular and molecular mechanisms of skin wound healing. | Peña OA et al. | — | 2024 | → |
| Central Channelopathies in Obesity. | Li AH et al. | — | 2024 | → |
| Clinical features, polysomnography, and genetics association study of restless legs syndrome in clinic based Chinese patients: A multicenter observational study. | Liang R et al. | — | 2024 | → |
| Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization. | Wang P et al. | — | 2024 | → |
| Common genetic variants associated with urinary phthalate levels in children: A genome-wide study. | Bustamante M et al. | — | 2024 | → |
| Connecting dementia risk loci to the CSF proteome identifies pathophysiological leads for dementia. | Reus LM et al. | — | 2024 | → |
| Convergence of coronary artery disease genes onto endothelial cell programs. | Schnitzler GR et al. | — | 2024 | → |
| CSGDN: contrastive signed graph diffusion network for predicting crop gene-phenotype associations. | Pan Y et al. | — | 2024 | → |
| Cysteine cathepsins and autoimmune diseases: A bidirectional Mendelian randomization. | Wu Y et al. | — | 2024 | → |
| Dare to be resilient: the key to future pesticide-free orchards? | Serrie M et al. | — | 2024 | → |
| Deciphering the causal association and co-disease mechanisms between psoriasis and breast cancer. | Li X et al. | — | 2024 | → |
| Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation. | Pugalenthi PV et al. | — | 2024 | → |
| Deep learning captures the effect of epistasis in multifactorial diseases. | Perelygin V et al. | — | 2024 | → |
| Diallel panel reveals a significant impact of low-frequency genetic variants on gene expression variation in yeast. | Tsouris A et al. | — | 2024 | → |
| DiGAS: Differential gene allele spectrum as a descriptor in genetic studies. | Aparo A et al. | — | 2024 | → |
| Distinct genetic liability profiles define clinically relevant patient strata across common diseases. | Trastulla L et al. | — | 2024 | → |
| Distributed transformer for high order epistasis detection in large-scale datasets. | Graça M et al. | — | 2024 | → |
| Drug development advances in human genetics-based targets. | Zhang X et al. | — | 2024 | → |
| Dual-trait genomic analysis in highly stratified Arabidopsis thaliana populations using genome-wide association summary statistics. | Feng X et al. | — | 2024 | → |
| Effect of scanning duration and sample size on reliability in resting state fMRI dynamic causal modeling analysis. | Ma L et al. | — | 2024 | → |
| EmbedGEM: a framework to evaluate the utility of embeddings for genetic discovery. | Mukherjee S et al. | — | 2024 | → |
| enHanCCing knowledge of genetic factors in primary liver tumor. | Koshiol J et al. | — | 2024 | → |
| Enhancing Equity in Genomics: Incorporating Measures of Structural Racism, Discrimination, and Social Determinants of Health. | Rajagopalan RM et al. | — | 2024 | → |
| Epistolution: a new principle necessary to a learning-first theory of life. | Munford C | — | 2024 | → |
| Evaluating three strategies of genome-wide association analysis for integrating data from multiple populations. | Zhong Z et al. | — | 2024 | → |
| Evaluation of Bayesian Linear Regression derived gene set test methods. | Bai Z et al. | — | 2024 | → |
| Exploring noncoding variants in genetic diseases: from detection to functional insights. | Wu K et al. | — | 2024 | → |
| Exploring the genetic prediction of academic underachievement and overachievement. | Kawakami K et al. | — | 2024 | → |
| Exposome Profiling of Environmental Pollutants in Seminal Plasma and Novel Associations with Semen Parameters. | Wu H et al. | — | 2024 | → |
| Expression quantitative trait loci influence DNA damage-induced apoptosis in cancer. | Bigge J et al. | — | 2024 | → |
| Finemap-MiXeR: A variational Bayesian approach for genetic finemapping. | Akdeniz BC et al. | — | 2024 | → |
| FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases. | Breeze CE et al. | — | 2024 | → |
| From genetic associations to genes: methods, applications, and challenges. | Qi T et al. | — | 2024 | → |
| From GWASs toward Mechanistic Understanding with Case Studies in Dermatogenetics. | Shen S et al. | — | 2024 | → |
| Functional Genomics in Psoriasis. | Rossi S et al. | — | 2024 | → |
| Functional Neural Networks for High-Dimensional Genetic Data Analysis. | Zhang S et al. | — | 2024 | → |
| GbyE: an integrated tool for genome widely association study and genome selection based on genetic by environmental interaction. | Liu X et al. | — | 2024 | → |
| Gene editing of angiotensin for blood pressure management. | Masi S et al. | — | 2024 | → |
| Genetic and molecular architecture of complex traits. | Lappalainen T et al. | — | 2024 | → |
| Genetic Architecture of Neurological Disorders and Their Endophenotypes: Insights from Genetic Association Studies. | Sargurupremraj M | — | 2024 | → |
| Genetic association of type 2 diabetes mellitus and glycaemic factors with primary tumours of the central nervous system. | Li Y et al. | — | 2024 | → |
| Genetic determinants of complement activation in the general population. | Noce D et al. | — | 2024 | → |
| Genetic effects and causal association analyses of 14 common conditions/diseases in multimorbidity patterns. | Fu T et al. | — | 2024 | → |
| Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles. | Chen J et al. | — | 2024 | → |
| Genetic insight into a polygenic trait using a novel genome-wide association approach in a wild amphibian population. | Toli EA et al. | — | 2024 | → |
| Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery: a 60-month follow-up study. | Mas-Bermejo P et al. | — | 2024 | → |
| Genetics of hypertension-related sex differences and hypertensive disorders of pregnancy. | Nurkkala J et al. | — | 2024 | → |
| Genetic variants in the HLA region contribute to the risk of cerebral palsy. | Cheng Y et al. | — | 2024 | → |
| Genome-wide assessment of shared genetic landscape of idiopathic pulmonary fibrosis and its comorbidities. | Yang Y et al. | — | 2024 | → |
| Genome-wide association analysis of body conformation traits in Chinese Holstein Cattle. | Li S et al. | — | 2024 | → |
| Genome-wide association identifies novel ROP risk loci in a multiethnic cohort. | Li X et al. | — | 2024 | → |
| Genome-wide association studies and polygenic risk score phenome-wide association studies across complex phenotypes in the human phenotype project. | Levine Z et al. | — | 2024 | → |
| Genome-Wide Association Study as an Efficacious Approach to Discover Candidate Genes Associated with Body Linear Type Traits in Dairy Cattle. | Long M et al. | — | 2024 | → |
| Genome-wide association study identifies high-impact susceptibility loci for HCC in North America. | Hassan MM et al. | — | 2024 | → |
| Genome-Wide Association Study of Body Conformation Traits in Tashi Goats (<i>Capra hircus</i>). | Yang R et al. | — | 2024 | → |
| Genome-wide association study of maternal plasma metabolites during pregnancy. | Liu S et al. | — | 2024 | → |
| Genome-wide association study reveals GmFulb as candidate gene for maturity time and reproductive length in soybeans (Glycine max). | Escamilla DM et al. | — | 2024 | → |
| Genome-wide association study suggests genetic candidate loci of insulin dysregulation in Finnhorses. | Weckman MJ et al. | — | 2024 | → |
| Genome-wide characterization of circulating metabolic biomarkers. | Karjalainen MK et al. | — | 2024 | → |
| Genome-wide epistasis analysis reveals gene-gene interaction network on an intermediate endophenotype P-tau/Aβ<sub>42</sub> ratio in ADNI cohort. | Zhang Q et al. | — | 2024 | → |
| Genome-wide meta-analysis, functional genomics and integrative analyses implicate new risk genes and therapeutic targets for anxiety disorders. | Li W et al. | — | 2024 | → |
| Genomic, molecular, and cellular divergence of the human brain. | Nehme R et al. | — | 2024 | → |
| Gut microbiota, circulating cytokines and dementia: a Mendelian randomization study. | Ji D et al. | — | 2024 | → |
| Gut microbiota, plasma metabolites, and osteoporosis: unraveling links via Mendelian randomization. | Lu Y et al. | — | 2024 | → |
| Haplotype function score improves biological interpretation and cross-ancestry polygenic prediction of human complex traits. | Song W et al. | — | 2024 | → |
| Harnessing the predicted maize pan-interactome for putative gene function prediction and prioritization of candidate genes for important traits. | Poretsky E et al. | — | 2024 | → |
| High throughput functional profiling of genes at intraocular pressure loci reveals distinct networks for glaucoma. | Greatbatch CJ et al. | — | 2024 | → |
| How group structure impacts the numbers at risk for coronary artery disease: polygenic risk scores and nongenetic risk factors in the UK Biobank cohort. | Zhao J et al. | — | 2024 | → |
| Identification of an novel genetic variant associated with osteoporosis: insights from the Taiwan Biobank Study. | Liaw YC et al. | — | 2024 | → |
| Identification of candidate genes associated with milk production and mastitis based on transcriptome-wide association study. | Hosseinzadeh S et al. | — | 2024 | → |
| Identification of EPSTI1 as a new potential biomarker for SLE based on GEO database. | Yang Y et al. | — | 2024 | → |
| Identification of genetic basis of brain imaging by group sparse multi-task learning leveraging summary statistics. | Xi D et al. | — | 2024 | → |
| Identification of genetic variants associated with clinical features of sickle cell disease. | Tsukahara K et al. | — | 2024 | → |
| Identification of Genomic Regions for Traits Associated with Flowering in Cassava (<i>Manihot esculenta</i> Crantz). | Baguma JK et al. | — | 2024 | → |
| Identification of hub genes and diagnostic efficacy for triple-negative breast cancer through WGCNA and Mendelian randomization. | Lin Y et al. | — | 2024 | → |
| Identification of novel single nucleotide variants in the drug resistance mechanism of Mycobacterium tuberculosis isolates by whole-genome analysis. | Qian W et al. | — | 2024 | → |
| Identification of Potential Drug Targets for Myopia Through Mendelian Randomization. | Qin Y et al. | — | 2024 | → |
| Identification of rare disease genes as drivers of common diseases through tissue-specific gene regulatory networks. | Bakker OB et al. | — | 2024 | → |
| Identifying genetic variants that influence the abundance of cell states in single-cell data. | Rumker L et al. | — | 2024 | → |
| Identifying latent genetic interactions in genome-wide association studies using multiple traits. | Bass AJ et al. | — | 2024 | → |
| Impact of Epigenetics, Diet, and Nutrition-Related Pathologies on Wound Healing. | Hajj J et al. | — | 2024 | → |
| Impacts of pleiotropy and migration on repeated genetic adaptation. | Battlay P et al. | — | 2024 | → |
| Improving fine-mapping by modeling infinitesimal effects. | Cui R et al. | — | 2024 | → |
| Insights into preeclampsia: a bioinformatics approach to deciphering genetic and immune contributions. | Zhong R et al. | — | 2024 | → |
| Integrating External Controls by Regression Calibration for Genome-Wide Association Study. | Zhu L et al. | — | 2024 | → |
| Integrative genomic analysis of RNA-modification-single nucleotide polymorphisms associated with kidney function. | Liu X et al. | — | 2024 | → |
| Investigating the potential causal association between consumption of green tea and risk of lung cancer: a study utilizing Mendelian randomization. | Lu J et al. | — | 2024 | → |
| Job characteristics and personality change in young adulthood: A 12-year longitudinal study and replication. | Zheng A et al. | — | 2024 | → |
| Knowledge and Current Practices in Monogenic Uveitis: An International Survey by IUSG and AIDA Network. | Gaggiano C et al. | — | 2024 | → |
| Large-scale whole-exome sequencing of neuropsychiatric diseases and traits in 350,770 adults. | Deng YT et al. | — | 2024 | → |
| Learning genotype-phenotype associations from gaps in multi-species sequence alignments. | Islam UI 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 | → |
| Leveraging Functional Genomics for Understanding Beef Quality Complexities and Breeding Beef Cattle for Improved Meat Quality. | Tian R et al. | — | 2024 | → |
| Leveraging large-scale multi-omics evidences to identify therapeutic targets from genome-wide association studies. | Lessard S et al. | — | 2024 | → |
| Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types. | Kim SS et al. | — | 2024 | → |
| Local genetic correlation via knockoffs reduces confounding due to cross-trait assortative mating. | Ma S et al. | — | 2024 | → |
| LOGOWheat: deep learning-based prediction of regulatory effects for noncoding variants in wheats. | Kong L et al. | — | 2024 | → |
| Machine learning integrative approaches to advance computational immunology. | Curion F et al. | — | 2024 | → |
| Mapping and Omics Integration: Towards Precise Rice Disease Resistance Breeding. | Ontoy JC et al. | — | 2024 | → |
| Mendelian randomization study on the causal relationship between chronic hepatitis B/C virus infection and idiopathic pulmonary fibrosis. | Qi H et al. | — | 2024 | → |
| Mitochondrial DNA: Inherent Complexities Relevant to Genetic Analyses. | Ferreira T et al. | — | 2024 | → |
| Modification of coronary artery disease clinical risk factors by coronary artery disease polygenic risk score. | Truong B et al. | — | 2024 | → |
| MR Corge: sensitivity analysis of Mendelian randomization based on the core gene hypothesis for polygenic exposures. | Zhang W et al. | — | 2024 | → |
| Multiome-wide Association Studies: Novel Approaches for Understanding Diseases. | Shao M et al. | — | 2024 | → |
| Nanoparticle-Mediated Drug Delivery Systems for Precision Targeting in Oncology. | Hristova-Panusheva K et al. | — | 2024 | → |
| Next-generation data filtering in the genomics era. | Hemstrom W 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 | → |
| Parental psychiatric diagnoses as predictive factors for autism spectrum disorder in the child: confluence of genetics and environment. | Kaplan ZB et al. | — | 2024 | → |
| Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations. | Song S et al. | — | 2024 | → |
| PathGPS: discover shared genetic architecture using GWAS summary data. | Gao Z 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 | → |
| Polygenic Indices (a.k.a. Polygenic Scores) in Social Science: A Guide for Interpretation and Evaluation. | Burt CH | — | 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 alcohol use disorder affects cellular responses to ethanol exposure in a human microglial cell model. | Li X et al. | — | 2024 | → |
| Polygenic Risk Score, Cardiorespiratory Fitness, and Cardiometabolic Risk Factors: WASEDA'S Health Study. | Tanisawa K et al. | — | 2024 | → |
| Post-GWAS Validation of Target Genes Associated with HbF and HbA<sub>2</sub> Levels. | Caria CA et al. | — | 2024 | → |
| Precision Hypertension. | Dzau VJ et al. | — | 2024 | → |
| Predicting early-onset COPD risk in adults aged 20-50 using electronic health records and machine learning. | Liu G et al. | — | 2024 | → |
| Quantitative omnigenic model discovers interpretable genome-wide associations. | Ružičková N et al. | — | 2024 | → |
| Recent advances in CRISPR-based functional genomics for the study of disease-associated genetic variants. | Kim HS et al. | — | 2024 | → |
| Recent advances in enzyme-free and enzyme-mediated single-nucleotide variation assay <i>in vitro</i>. | Xiong E et al. | — | 2024 | → |
| Recent Advances in Genomic Studies of Gestational Duration and Preterm Birth. | Srivastava AK et al. | — | 2024 | → |
| Recovering Misidentified Samples Through Genetic Discordance Clustering. | Huang J et al. | — | 2024 | → |
| Resting CD4 regulatory T cell and neuroblastoma: A Mendelian randomization study. | Wang R et al. | — | 2024 | → |
| Review on GPU accelerated methods for genome-wide SNP-SNP interactions. | Ren W et al. | — | 2024 | → |
| RNA interference in the era of nucleic acid therapeutics. | Jadhav V et al. | — | 2024 | → |
| Robust use of phenotypic heterogeneity at drug target genes for mechanistic insights: Application of cis-multivariable Mendelian randomization to GLP1R gene region. | Patel A et al. | — | 2024 | → |
| Role of the X Chromosome in Alzheimer Disease Genetics. | Belloy ME et al. | — | 2024 | → |
| Schoolhouse risk: Can we mitigate the polygenic Pygmalion effect? | Matthews LJ et al. | — | 2024 | → |
| Selective sweep and GWAS provide insights into adaptive variation of <i>Populus cathayana</i> leaves. | Zhou X et al. | — | 2024 | → |
| Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence prediction. | Phan H et al. | — | 2024 | → |
| Single nucleotide polymorphism profile for quantitative trait nucleotide in populations with small effective size and its impact on mapping and genomic predictions. | Pocrnic I et al. | — | 2024 | → |
| SNP-Based and Kmer-Based eQTL Analysis Using Transcriptome Data. | Ge M et al. | — | 2024 | → |
| Social determinants of health, the microbiome, and surgical injury. | Alverdy JC et al. | — | 2024 | → |
| Sources of gene expression variation in a globally diverse human cohort. | Taylor DJ et al. | — | 2024 | → |
| Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data. | Sugolov A et al. | — | 2024 | → |
| Stimulation of insulin secretion induced by low 4-cresol dose involves the RPS6KA3 signalling pathway. | Brial F et al. | — | 2024 | → |
| Subset-based method for cross-tissue transcriptome-wide association studies improves power and interpretability. | Guo X et al. | — | 2024 | → |
| TargetGene: a comprehensive database of cell-type-specific target genes for genetic variants. | Lin S et al. | — | 2024 | → |
| Temporal dynamics of genetic architecture governing leaf development in Populus. | Li P et al. | — | 2024 | → |
| The effect of family structure on the still-missing heritability and genomic prediction accuracy of type 2 diabetes. | Amiri Roudbar M et al. | — | 2024 | → |
| The Genetic Architecture of Recombination Rates is Polygenic and Differs Between the Sexes in Wild House Sparrows (Passer domesticus). | McAuley JB et al. | — | 2024 | → |
| The genetic landscape of neuro-related proteins in human plasma. | Repetto L et al. | — | 2024 | → |
| The goldmine of GWAS summary statistics: a systematic review of methods and tools. | Kontou PI et al. | — | 2024 | → |
| The Relationship of Circulating Choline and Choline-Related Metabolite Levels with Health Outcomes: A Scoping Review of Genome-Wide Association Studies and Mendelian Randomization Studies. | Louck LE et al. | — | 2024 | → |
| The selection landscape and genetic legacy of ancient Eurasians. | Irving-Pease EK et al. | — | 2024 | → |
| Tissue-specific enhancer-gene maps from multimodal single-cell data identify causal disease alleles. | Sakaue S et al. | — | 2024 | → |
| TOPMed imputed genomics enhances genomic atlas of the human proteome in brain, cerebrospinal fluid, and plasma. | Yi H et al. | — | 2024 | → |
| Towards a Novel Frontier in the Use of Epigenetic Clocks in Epidemiology. | Martínez-Magaña JJ et al. | — | 2024 | → |
| Trait association and prediction through integrative k-mer analysis. | He C et al. | — | 2024 | → |
| Trait selection strategy in multi-trait GWAS: Boosting SNP discoverability. | Suzuki Y et al. | — | 2024 | → |
| Transcriptome-Wide Association Studies (TWAS): Methodologies, Applications, and Challenges. | Evans P et al. | — | 2024 | → |
| tstrait: a quantitative trait simulator for ancestral recombination graphs. | Tagami D et al. | — | 2024 | → |
| Tuning parameters for polygenic risk score methods using GWAS summary statistics from training data. | Jiang W et al. | — | 2024 | → |
| Understanding the Genetic Architecture of Vitamin Status Biomarkers in the Genome-Wide Association Study Era: Biological Insights and Clinical Significance. | Reay WR 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 | → |
| Unsupervised clustering identified clinically relevant metabolic syndrome endotypes in UK and Taiwan Biobanks. | Lim AMW et al. | — | 2024 | → |
| Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. | Bonazzola R et al. | — | 2024 | → |
| Unveiling the shared genetic architecture between testosterone and polycystic ovary syndrome. | Sun S et al. | — | 2024 | → |
| Utility of polygenic scores across diverse diseases in a hospital cohort for predictive modeling. | Sun TH et al. | — | 2024 | → |
| Utilizing non-invasive prenatal test sequencing data for human genetic investigation. | Liu S et al. | — | 2024 | → |
| VUS next in rare diseases? Deciphering genetic determinants of biomolecular condensation. | Heredia-Torrejón M et al. | — | 2024 | → |
| Whole exome sequencing analyses identified novel genes for Alzheimer's disease and related dementia. | Zhang YR et al. | — | 2024 | → |
| Whole exome sequencing analysis identifies genes for alcohol consumption. | Kang J et al. | — | 2024 | → |
| ZNF350 gene polymorphisms promote the response to Peg-IFNα therapy through JAK-STAT signaling pathway in patients with chronic hepatitis B. | Guo J et al. | — | 2024 | → |
| 10 Years of GWAS in intraocular pressure. | Gao XR et al. | — | 2023 | → |
| 15 years of GWAS discovery: Realizing the promise. | Abdellaoui A et al. | — | 2023 | → |
| 5. Collaborative Study on the Genetics of Alcoholism: Functional genomics. | Gameiro-Ros I et al. | — | 2023 | → |
| A brain-wide genome-wide association study of candidate quantitative trait loci associated with structural and functional phenotypes of pain sensitivity. | Zhang L et al. | — | 2023 | → |
| AccuCalc: A Python Package for Accuracy Calculation in GWAS. | Biová J et al. | — | 2023 | → |
| Accuracy of haplotype estimation and whole genome imputation affects complex trait analyses in complex biobanks. | Appadurai V et al. | — | 2023 | → |
| Accurate and efficient estimation of local heritability using summary statistics and the linkage disequilibrium matrix. | Li H et al. | — | 2023 | → |
| Advances and Challenges for GWAS Analysis in Cardiac Diseases: A Focus on Coronary Artery Disease (CAD). | Khan SU et al. | — | 2023 | → |
| A functional mechanism for a non-coding variant near AGTR2 associated with risk for preterm birth. | Wang L et al. | — | 2023 | → |
| A Genetic Variant of FAM46A is Associated With the Development of Adolescent Idiopathic Scoliosis in the Chinese Population. | Min K et al. | — | 2023 | → |
| A genome-wide association study coupled with machine learning approaches to identify influential demographic and genomic factors underlying Parkinson's disease. | Rahman MA et al. | — | 2023 | → |
| A Genome-Wide Association Study Identified Novel Genetic Susceptibility Loci for Oral Cancer in Taiwan. | Bau DT et al. | — | 2023 | → |
| Allelic to genome wide perspectives of swine genetic variation to litter size and its component traits. | Vaishnav S et al. | — | 2023 | → |
| Alzheimer's Disease: An Updated Overview of Its Genetics. | Andrade-Guerrero J et al. | — | 2023 | → |
| A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data. | Momin MM et al. | — | 2023 | → |
| A multiethnic genome-wide analysis of 19,420 individuals identifies novel loci associated with axial length and shared genetic influences with refractive error and myopia. | Jiang C et al. | — | 2023 | → |
| An adaptive test based on principal components for detecting multiple phenotype associations using GWAS summary data. | Wei Q et al. | — | 2023 | → |
| An allelic-series rare-variant association test for candidate-gene discovery. | McCaw ZR 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 | → |
| Analysis of subcellular RNA fractions demonstrates significant genetic regulation of gene expression in human brain post-transcriptionally. | D'Sa K et al. | — | 2023 | → |
| An atrial fibrillation-associated regulatory region modulates cardiac <i>Tbx5</i> levels and arrhythmia susceptibility. | Bosada FM et al. | — | 2023 | → |
| An empirical investigation into the impact of winner's curse on estimates from Mendelian randomization. | Jiang T et al. | — | 2023 | → |
| An in-depth association analysis of genetic variants within nicotine-related loci: Meeting in middle of GWAS and genetic fine-mapping. | Mo C et al. | — | 2023 | → |
| An integrative pipeline for circular RNA quantitative trait locus discovery with application in human T cells. | Nguyen DT | — | 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 phenome-wide scan reveals convergence of common and rare variant associations. | Zhou D et al. | — | 2023 | → |
| A Polygenic Risk Score for Predicting Racial and Genetic Susceptibility to Prurigo Nodularis. | Vasavda C et al. | — | 2023 | → |
| Applications of genomic research in pediatric endocrine diseases. | Kim JH et al. | — | 2023 | → |
| Artificial selection reveals complex genetic architecture of shoot branching and its response to nitrate supply in Arabidopsis. | Tavares H et al. | — | 2023 | → |
| A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits using GWAS summary statistics. | Zhang Z et al. | — | 2023 | → |
| Assessing the performance of European-derived cardiometabolic polygenic risk scores in South-Asians and their interplay with family history. | Hassanin E et al. | — | 2023 | → |
| Association of polygenic scores for depression and neuroticism with perceived stress in daily life during a long-lasting stress period. | Peter HL et al. | — | 2023 | → |
| Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs. | Zong W et al. | — | 2023 | → |
| Associations of psychiatric disease and ageing with FKBP5 expression converge on superficial layer neurons of the neocortex. | Matosin N et al. | — | 2023 | → |
| A unifying statistical framework to discover disease genes from GWASs. | McManus JNJ et al. | — | 2023 | → |
| A universal and sensitive gene mutation detection method based on CRISPR-Cas12a. | Wang H et al. | — | 2023 | → |
| Benchmarking of local genetic correlation estimation methods using summary statistics from genome-wide association studies. | Zhang C et al. | — | 2023 | → |
| Bias correction for inverse variance weighting Mendelian randomization. | Mounier N et al. | — | 2023 | → |
| Blood cell traits' GWAS loci colocalization with variation in PU.1 genomic occupancy prioritizes causal noncoding regulatory variants. | Jeong R et al. | — | 2023 | → |
| Brain Catalog: a comprehensive resource for the genetic landscape of brain-related traits. | Pan S et al. | — | 2023 | → |
| CandiHap: a haplotype analysis toolkit for natural variation study. | Li X et al. | — | 2023 | → |
| Can Epigenetics Predict Drug Efficiency in Mental Disorders? | Ben David G et al. | — | 2023 | → |
| Case-only design identifies interactions of genetic risk variants at SIGLEC5 and PLG with the lncRNA CTD-2353F22.1 implying the importance of periodontal wound healing for disease aetiology. | Müller R et al. | — | 2023 | → |
| Causal association of gut microbiota and esophageal cancer: a Mendelian randomization study. | Gao X et al. | — | 2023 | → |
| Causal link between gut microbiota and four types of pancreatitis: a genetic association and bidirectional Mendelian randomization study. | Wang K et al. | — | 2023 | → |
| Causal relationship between gut microbiota and cancers: a two-sample Mendelian randomisation study. | Long Y et al. | — | 2023 | → |
| Celebrating a Century of Research in Behavioral Genetics. | Plomin R | — | 2023 | → |
| Characterization of genome-wide STR variation in 6487 human genomes. | Shi Y et al. | — | 2023 | → |
| Characterizing the evolution and phenotypic impact of ampliconic Y chromosome regions. | Lucotte EA et al. | — | 2023 | → |
| Cohort profile: Genetic data in the German Socio-Economic Panel Innovation Sample (SOEP-G). | Koellinger PD et al. | — | 2023 | → |
| Combination of GWAS and F<sub>ST</sub>-based approaches identified loci associated with economic traits in sugarcane. | Wang L et al. | — | 2023 | → |
| Combined linkage analysis and association mapping identifies genomic regions associated with yield-related and drought-tolerance traits in wheat (Triticum aestivum L.). | Guo J et al. | — | 2023 | → |
| Comparing DNA isolation methods for forest trees: quality, plastic footprint, and time-efficiency. | Guillardín L et al. | — | 2023 | → |
| Comparing mixed models and Random Forest association tests using naturalgwas and a Striped Bass SNP data set. | LeBlanc NM et al. | — | 2023 | → |
| Complexities of recapitulating polygenic effects in natural populations: replication of genetic effects on wing shape in artificially selected and wild-caught populations of Drosophila melanogaster. | Pelletier K et al. | — | 2023 | → |
| Complex traits and candidate genes: estimation of genetic variance components across multiple genetic architectures. | Feldmann MJ et al. | — | 2023 | → |
| Comprehensive Approach to Medical Nutrition Therapy in Patients with Type 2 Diabetes Mellitus: From Diet to Bioactive Compounds. | Barrea L et al. | — | 2023 | → |
| Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D. | Wang X et al. | — | 2023 | → |
| Current State and Future of Polygenic Risk Scores in Cardiometabolic Disease: A Scoping Review. | Phulka JS et al. | — | 2023 | → |
| Current Status of Next-Generation Sequencing in Bone Genetic Diseases. | Aida N et al. | — | 2023 | → |
| Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study. | Jang S et al. | — | 2023 | → |
| Direct and Indirect Genetic Effects on Aggression. | van der Laan CM et al. | — | 2023 | → |
| Dissecting the association between gut microbiota and liver cancer in European and East Asian populations using Mendelian randomization analysis. | Jiang H et al. | — | 2023 | → |
| DNA language models are powerful predictors of genome-wide variant effects. | Benegas G et al. | — | 2023 | → |
| Editorial: Community series in genetic mechanisms of biomarkers in schizophrenia, bipolar disorder and depression, volume II. | Yin Y et al. | — | 2023 | → |
| Effect of all-but-one conditional analysis for eQTL isolation in peripheral blood. | Brown M et al. | — | 2023 | → |
| Effect of tissue-grouped regulatory variants associated to type 2 diabetes in related secondary outcomes. | Hemerich D et al. | — | 2023 | → |
| Efficient penalized generalized linear mixed models for variable selection and genetic risk prediction in high-dimensional data. | St-Pierre J et al. | — | 2023 | → |
| Emerging Genetic Insight into ATIN. | Khan A et al. | — | 2023 | → |
| Emotional dysregulation, alexithymia and neuroticism: a systematic review on the genetic basis of a subset of psychological traits. | Castellini G et al. | — | 2023 | → |
| Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose. | Qiao Z et al. | — | 2023 | → |
| Ethnic, gender and other sociodemographic biases in genome-wide association studies for the most burdensome non-communicable diseases: 2005-2022. | Fitipaldi H et al. | — | 2023 | → |
| Evaluating significance of European-associated index SNPs in the East Asian population for 31 complex phenotypes. | Qiao J et al. | — | 2023 | → |
| Evaluation of noninvasive biospecimens for transcriptome studies. | Martorella M et al. | — | 2023 | → |
| Examining the shared etiology of psychopathology with genome-wide association studies. | Mallard TT et al. | — | 2023 | → |
| eXclusionarY: 10 years later, where are the sex chromosomes in GWASs? | Sun L et al. | — | 2023 | → |
| Expanding the genetic landscape of obesity. | Yang J | — | 2023 | → |
| Explaining the influence of non-shared environment (NSE) on symptoms of behaviour problems from preschool to adulthood: mind the missing NSE gap. | Gidziela A et al. | — | 2023 | → |
| Exploiting the mediating role of the metabolome to unravel transcript-to-phenotype associations. | Auwerx C et al. | — | 2023 | → |
| Exploring opportunities for drug repurposing and precision medicine in cannabis use disorder using genetics. | Greco LA et al. | — | 2023 | → |
| Exploring the Causality Between Body Mass Index and Sepsis: A Two-Sample Mendelian Randomization Study. | Wang J et al. | — | 2023 | → |
| Exploring the genetics of rhythmic perception and musical engagement in the Vanderbilt Online Musicality Study. | Gustavson DE et al. | — | 2023 | → |
| Expression quantitative trait locus studies in the era of single-cell omics. | Luo J et al. | — | 2023 | → |
| Familial and syndromic forms of arachnoid cyst implicate genetic factors in disease pathogenesis. | Qureshi HM et al. | — | 2023 | → |
| Fast kernel-based association testing of non-linear genetic effects for biobank-scale data. | Fu B et al. | — | 2023 | → |
| From function to translation: Decoding genetic susceptibility to human diseases via artificial intelligence. | Long E et al. | — | 2023 | → |
| From SNP to pathway-based GWAS meta-analysis: do current meta-analysis approaches resolve power and replication in genetic association studies? | Defo J et al. | — | 2023 | → |
| Functional characterization of human genomic variation linked to polygenic diseases. | Fabo T et al. | — | 2023 | → |
| Gastrointestinal Infection in South African Children under the Age of 5 years: A Mini Review. | Mafokwane T et al. | — | 2023 | → |
| Gene-environment interaction explains a part of missing heritability in human body mass index. | Jung HU et al. | — | 2023 | → |
| Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis. | Li XJ et al. | — | 2023 | → |
| Genetically proxied therapeutic prolyl-hydroxylase inhibition and cardiovascular risk. | Harlow CE et al. | — | 2023 | → |
| Genetic Ancestry Estimates within Dutch Family Units and Across Genotyping Arrays: Insights from Empirical Analysis Using Two Estimation Methods. | Beck JJ et al. | — | 2023 | → |
| Genetic and Gene Expression Resources for Osteoporosis and Bone Biology Research. | Kaya S et al. | — | 2023 | → |
| Genetic Association Analysis of Chronic Kidney Disease Progression in a Small Korean Cohort Study. | Ghasemi S et al. | — | 2023 | → |
| Genetic contributions to transdiagnostic symptom dimensions in patients with major depressive disorder, bipolar disorder, and schizophrenia spectrum disorders. | David FS et al. | — | 2023 | → |
| Genetic Contribution to the Heterogeneity of Major Depressive Disorder: Evidence From a Sibling-Based Design Using Swedish National Registers. | Nguyen TD et al. | — | 2023 | → |
| Genetic control of N-glycosylation of human blood plasma proteins. | Sharapov SZ et al. | — | 2023 | → |
| Genetic correlation and gene-based pleiotropy analysis for four major neurodegenerative diseases with summary statistics. | Qiao J et al. | — | 2023 | → |
| Genetic determinism, essentialism and reductionism: semantic clarity for contested science. | Harden KP | — | 2023 | → |
| Genetic fine-mapping from summary data using a nonlocal prior improves the detection of multiple causal variants. | Karhunen V et al. | — | 2023 | → |
| Genetic interactions of schizophrenia using gene-based statistical epistasis exclusively identify nervous system-related pathways and key hub genes. | Periyasamy S et al. | — | 2023 | → |
| Genetic Pathways Underlying Individual Differences in Regular Physical Activity. | de Geus EJC | — | 2023 | → |
| Genetic risk factor clustering within and across neurodegenerative diseases. | Koretsky MJ et al. | — | 2023 | → |
| Genetics and epigenetics of human aggression. | Odintsova VV et al. | — | 2023 | → |
| Genetics of diabetes. | Goyal S et al. | — | 2023 | → |
| Genome-wide association studies: an intuitive solution for SNP identification and gene mapping in trees. | Ashwath MN et al. | — | 2023 | → |
| Genome-wide Association Studies of REST Gene Associated Neurological Diseases/traits with Related Single Nucleotide Polymorphisms. | Wang J et al. | — | 2023 | → |
| Genome-wide association studies: utility and limitations for research in physiology. | Pereira Ciochetti N et al. | — | 2023 | → |
| Genome-Wide Association Study of the Reproductive Traits of the Dazu Black Goat (<i>Capra hircus</i>) Using Whole-Genome Resequencing. | Fang X et al. | — | 2023 | → |
| Genome-wide association study of the risk of chronic kidney disease and kidney-related traits in the Japanese population: J-Kidney-Biobank. | Sugawara Y et al. | — | 2023 | → |
| Genome-wide association study on coordination and agility in 461 Chinese Han males. | Wang Y et al. | — | 2023 | → |
| Genome-wide association study using whole-genome sequencing identifies risk loci for Parkinson's disease in Chinese population. | Pan H et al. | — | 2023 | → |
| Genomic and transcriptomic analyses reveal polygenic architecture for ecologically important traits in aspen (<i>Populus tremuloides</i> Michx.). | Riehl JFL et al. | — | 2023 | → |
| Genotype and phenotype data standardization, utilization and integration in the big data era for agricultural sciences. | Deng CH et al. | — | 2023 | → |
| Getting it right: Teaching undergraduate biology to undermine racial essentialism. | Guevara E et al. | — | 2023 | → |
| Ghat: an R package for identifying adaptive polygenic traits. | Mahmoud M et al. | — | 2023 | → |
| Going broad and deep: sequencing-driven insights into plant physiology, evolution, and crop domestication. | Gui S et al. | — | 2023 | → |
| GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals. | Liu X et al. | — | 2023 | → |
| Haplotype analysis of long-chain non-coding RNA NONHSAT102891 promoter polymorphisms and depression in Chinese individuals: A case-control association study. | Li Y et al. | — | 2023 | → |
| Harnessing the potential of machine learning and artificial intelligence for dementia research. | Ranson JM et al. | — | 2023 | → |
| How to make an inclusive-fitness model. | Scott TW et al. | — | 2023 | → |
| Human Genetics Society of Australasia Position Statement: Use of Polygenic Scores in Clinical Practice and Population Health. | Young MA et al. | — | 2023 | → |
| Human height: a model common complex trait. | Conery M et al. | — | 2023 | → |
| Hypothesis-free phenotype prediction within a genetics-first framework. | Lu C et al. | — | 2023 | → |
| Identification of brain cell types underlying genetic association with word reading and correlated traits. | Price KM et al. | — | 2023 | → |
| Identification of candidate genes responsible for innate fear behavior in the chicken. | Ochiai T et al. | — | 2023 | → |
| Identifying latent genetic interactions in genome-wide association studies using multiple traits | Bass AJ et al. | — | 2023 | — |
| Identifying risk variants for embryo aneuploidy using ultra-low coverage whole-genome sequencing from preimplantation genetic testing. | Sun S et al. | — | 2023 | → |
| ILIAD: a suite of automated Snakemake workflows for processing genomic data for downstream applications. | Herrick N et al. | — | 2023 | → |
| Immune-response 3'UTR alternative polyadenylation quantitative trait loci contribute to variation in human complex traits and diseases. | Li L et al. | — | 2023 | → |
| Immunotherapy: A promising novel endometriosis therapy. | Li W et al. | — | 2023 | → |
| Impacts of salinity stress on crop plants: improving salt tolerance through genetic and molecular dissection. | Atta K et al. | — | 2023 | → |
| Inferring feature importance with uncertainties with application to large genotype data. | Johnsen PV et al. | — | 2023 | → |
| Innate and adaptive immune abnormalities underlying autoimmune diseases: the genetic connections. | Chi X et al. | — | 2023 | → |
| Integrating eQTL and GWAS data characterises established and identifies novel migraine risk loci. | Ghaffar A et al. | — | 2023 | → |
| Integrating GWAS summary statistics, individual-level genotypic and omic data to enhance the performance for large-scale trait imputation. | Ren J et al. | — | 2023 | → |
| Integrating Theory with Education about Genetic Risk for Alcohol Use Disorder: The Effects of a Brief Online Educational Tool on Elements of the Health Belief Model. | Driver MN et al. | — | 2023 | → |
| Integrative Post-Genome-Wide Association Study Analyses Relevant to Psychiatric Disorders: Imputing Transcriptome and Proteome Signals. | Gedik H et al. | — | 2023 | → |
| IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles. | DeGroat W et al. | — | 2023 | → |
| Investigating the morphology and genetics of scalp and facial hair characteristics for phenotype prediction. | Kataria S et al. | — | 2023 | → |
| Investigation of potential genetic factors for growth traits in yellow-feather broilers using weighted single-step genome-wide association study. | Fang X et al. | — | 2023 | → |
| Is it time for genetic modifiers to predict prognosis in Duchenne muscular dystrophy? | Bello L et al. | — | 2023 | → |
| Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes. | Wu Y et al. | — | 2023 | → |
| kGWASflow: a modular, flexible, and reproducible Snakemake workflow for k-mers-based GWAS. | Corut AK et al. | — | 2023 | → |
| Landmark native breed of the Orenburg goats: progress in its breeding and genetics and future prospects. | Tarasova EI et al. | — | 2023 | → |
| Large-scale meta-genome-wide association study reveals common genetic factors linked to radiation-induced acute toxicities across cancer types. | Naderi E et al. | — | 2023 | → |
| Learning the kernel for rare variant genetic association test. | Falk I et al. | — | 2023 | → |
| Leveraging base-pair mammalian constraint to understand genetic variation and human disease. | Sullivan PF et al. | — | 2023 | → |
| Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases. | Weeks EM et al. | — | 2023 | → |
| Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies. | Stamp J et al. | — | 2023 | → |
| LncRNA BCCE4 Genetically Enhances the PD-L1/PD-1 Interaction in Smoking-Related Bladder Cancer by Modulating miR-328-3p-USP18 Signaling. | Zheng R et al. | — | 2023 | → |
| Longitudinal genome-wide association studies of milk production traits in Holstein cattle using whole-genome sequence data imputed from medium-density chip data. | Teng J et al. | — | 2023 | → |
| Low and differential polygenic score generalizability among African populations due largely to genetic diversity. | Majara L et al. | — | 2023 | → |
| Machine Learning to Advance Human Genome-Wide Association Studies. | Sigala RE et al. | — | 2023 | → |
| MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites. | Wang C et al. | — | 2023 | → |
| mBAT-combo: A more powerful test to detect gene-trait associations from GWAS data. | Li A et al. | — | 2023 | → |
| Mechanisms of cognitive disinhibition explain individual differences in adult attention deficit hyperactivity disorder traits. | Tiego J et al. | — | 2023 | → |
| Mega-scale Bayesian regression methods for genome-wide prediction and association studies with thousands of traits. | Qu J et al. | — | 2023 | → |
| mGWAS-Explorer 2.0: Causal Analysis and Interpretation of Metabolite-Phenotype Associations. | Chang L et al. | — | 2023 | → |
| Microsatellites used in forensics are in regions enriched for trait-associated variants. | Link V et al. | — | 2023 | → |
| Molecular and genetic insights into secondary metabolic regulation underlying insect-pest resistance in legumes. | Razzaq MK et al. | — | 2023 | → |
| Molecular, genetic, and genomic basis of seed size and yield characteristics in soybean. | Tayade R et al. | — | 2023 | → |
| mtPGS: Leverage multiple correlated traits for accurate polygenic score construction. | Xu C et al. | — | 2023 | → |
| Multi-ancestry genome-wide association study of 4069 children with glioma identifies 9p21.3 risk locus. | Foss-Skiftesvik J et al. | — | 2023 | → |
| Multi-model genome-wide association studies for appearance quality in rice. | Sachdeva S et al. | — | 2023 | → |
| Multi-omics cannot replace sample size in genome-wide association studies. | Baranger DAA et al. | — | 2023 | → |
| Multi-Omics Profiling for Health. | Babu M et al. | — | 2023 | → |
| Multi-Omics Studies in Historically Excluded Populations: The Road to Equity. | Yang G et al. | — | 2023 | → |
| Multivariate GWAS of Alzheimer's disease CSF biomarker profiles implies GRIN2D in synaptic functioning. | Neumann A et al. | — | 2023 | → |
| New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. | Andreassen OA et al. | — | 2023 | → |
| New Insights Into Suicidal Behavior From Large Multi-Ancestry Genetic Meta-Analysis. | Binder EB | — | 2023 | → |
| Novel Functional Genomics Approaches Bridging Neuroscience and Psychiatry. | Restrepo-Lozano JM et al. | — | 2023 | → |
| NSPA: characterizing the disease association of multiple genetic interactions at single-subject resolution. | Sha Z et al. | — | 2023 | → |
| Optimizing genomic selection of agricultural traits using K-wheat core collection. | Kang Y et al. | — | 2023 | → |
| Overcoming attenuation bias in regressions using polygenic indices. | van Kippersluis H et al. | — | 2023 | → |
| Partners in Health: Investigating Social Genetic Effects Among Married and Cohabiting Couples. | Otten K 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 | → |
| Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine. | Gupta NS et al. | — | 2023 | → |
| Polygenic risk for termination of the 'healthspan' and its interactions with lifestyle factors: A prospective cohort study based on 288,359 participants. | Liang S et al. | — | 2023 | → |
| Polygenic risk prediction: why and when out-of-sample prediction R<sup>2</sup> can exceed SNP-based heritability. | Wang X et al. | — | 2023 | → |
| Polymorphic short tandem repeats make widespread contributions to blood and serum traits. | Margoliash J et al. | — | 2023 | → |
| Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology. | Tiego J et al. | — | 2023 | → |
| Precision Medicine in Antidepressants Treatment. | Tsermpini EE et al. | — | 2023 | → |
| Preselection of QTL markers enhances accuracy of genomic selection in Norway spruce. | Chen ZQ et al. | — | 2023 | → |
| Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics. | Miao J et al. | — | 2023 | → |
| Rank concordance of polygenic indices. | Muslimova D et al. | — | 2023 | → |
| Rare penetrant mutations confer severe risk of common diseases. | Fiziev PP et al. | — | 2023 | → |
| Rate-Limiting Enzymes in Cardiometabolic Health and Aging in Humans. | Parnell LD et al. | — | 2023 | → |
| Red cell distribution width and its polygenic score in relation to mortality and cardiometabolic outcomes. | Pan J et al. | — | 2023 | → |
| Rediscovering tandem repeat variation in schizophrenia: challenges and opportunities. | Birnbaum R | — | 2023 | → |
| Redundancy analysis, genome-wide association studies and the pigmentation of brown trout (Salmo trutta L.). | Valette T et al. | — | 2023 | → |
| Regulation of Human Endogenous Metabolites by Drug Transporters and Drug Metabolizing Enzymes: An Analysis of Targeted SNP-Metabolite Associations. | Granados JC et al. | — | 2023 | → |
| Repeatability of adaptation in sunflowers reveals that genomic regions harbouring inversions also drive adaptation in species lacking an inversion. | Soudi S et al. | — | 2023 | → |
| Returning complex genetic risk information to promote better health-related behaviors: a commentary of the literature and suggested next steps. | Driver MN et al. | — | 2023 | → |
| Risk single-nucleotide polymorphism-mediated enhancer-promoter interaction drives keloids through long noncoding RNA down expressed in keloids. | Deng CC et al. | — | 2023 | → |
| Robustness of quantifying mediating effects of genetically regulated expression on complex traits with mediated expression score regression. | Lin C et al. | — | 2023 | → |
| Sample Size Calculation in Genetic Association Studies: A Practical Approach. | Politi C et al. | — | 2023 | → |
| Semi-supervised learning improves regulatory sequence prediction with unlabeled sequences. | Mourad R | — | 2023 | → |
| Severe Asthma and Biological Therapies: Now and the Future. | Sardon-Prado O et al. | — | 2023 | → |
| Shared genetic architecture between mental health and the brain functional connectome in the UK Biobank. | Roelfs D et al. | — | 2023 | → |
| Similarity and diversity of genetic architecture for complex traits between East Asian and European populations. | Zhang J et al. | — | 2023 | → |
| Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two-stage composite likelihood. | Ting BW et al. | — | 2023 | → |
| Simultaneous selection of multiple important single nucleotide polymorphisms in familial genome wide association studies data. | Majumdar S et al. | — | 2023 | → |
| Social determinants of health and selection bias in genome-wide association studies. | Riehm KE et al. | — | 2023 | → |
| SparsePro: An efficient fine-mapping method integrating summary statistics and functional annotations. | Zhang W et al. | — | 2023 | → |
| Srinivaspura Aging, Neuro Senescence and COGnition (SANSCOG) study: Study protocol. | Ravindranath V et al. | — | 2023 | → |
| Strategies in Aggregation Tests for Rare Variants. | Rajabli F et al. | — | 2023 | → |
| Structure-informed clustering for population stratification in association studies. | Bose A 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 contributions of mitochondrial and nuclear mitochondrial genetic variation to neuroticism. | Xia C et al. | — | 2023 | → |
| The genetic architecture of fornix white matter microstructure and their involvement in neuropsychiatric disorders. | Ou YN et al. | — | 2023 | → |
| The genetic architecture of human amygdala volumes and their overlap with common brain disorders. | Ou YN et al. | — | 2023 | → |
| The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks. | Tissink E et al. | — | 2023 | → |
| The Genetics of Coronary Artery Disease: A Vascular Perspective. | Quaye LNK et al. | — | 2023 | → |
| The limitations of phenotype prediction in metabolism. | Yubero P et al. | — | 2023 | → |
| Therapeutic opportunities for the treatment of NASH with genetically validated targets. | Lindén D et al. | — | 2023 | → |
| The social evolution of individual differences: Future directions for a comparative science of personality in social behavior. | Martin JS et al. | — | 2023 | → |
| topr: an R package for viewing and annotating genetic association results. | Juliusdottir T | — | 2023 | → |
| Transcriptome-Wide Structural Equation Modeling of 13 Major Psychiatric Disorders for Cross-Disorder Risk and Drug Repurposing. | Grotzinger AD et al. | — | 2023 | → |
| Translating non-coding genetic associations into a better understanding of immune-mediated disease. | Stankey CT et al. | — | 2023 | → |
| Tree-based QTL mapping with expected local genetic relatedness matrices. | Link V et al. | — | 2023 | → |
| TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies. | Lu M et al. | — | 2023 | → |
| twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysis. | Wang X et al. | — | 2023 | → |
| Type 2 diabetes and the risk of synovitis-tenosynovitis: a two-sample Mendelian randomization study. | Guo J et al. | — | 2023 | → |
| Ultra-low-coverage genome-wide association study-insights into gestational age using 17,844 embryo samples with preimplantation genetic testing. | Li S et al. | — | 2023 | → |
| Using GWAS summary data to impute traits for genotyped individuals. | Ren J et al. | — | 2023 | → |
| Using human genetics to improve safety assessment of therapeutics. | Carss KJ et al. | — | 2023 | → |
| Variants in <i>JAZF1</i> are associated with asthma, type 2 diabetes, and height in the United Kingdom biobank population. | DeWan AT et al. | — | 2023 | → |
| Weighted genomic prediction for growth and carcass-related traits in Nelore cattle. | da Silva Neto JB et al. | — | 2023 | → |
| Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants. | Young KL et al. | — | 2023 | → |
| X-linked genes influence various complex traits in dairy cattle. | Sanchez MP et al. | — | 2023 | → |
| 3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk. | Liu N et al. | — | 2022 | → |
| 3D genome organization links non-coding disease-associated variants to genes. | Orozco G et al. | — | 2022 | → |
| Achieving single nucleotide sensitivity in direct hybridization genome imaging. | Wang Y et al. | — | 2022 | → |
| A comparison of the genes and genesets identified by GWAS and EWAS of fifteen complex traits. | Battram T 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 evaluation of polygenic score and genotype imputation performances of human SNP arrays in diverse populations. | Nguyen DT et al. | — | 2022 | → |
| Advances of Epigenetic Biomarkers and Epigenome Editing for Early Diagnosis in Breast Cancer. | Sarvari P et al. | — | 2022 | → |
| A genome-wide association study of important reproduction traits in large white pigs. | Chang Wu Z et al. | — | 2022 | → |
| A genome-wide association study of total child psychiatric problems scores. | Neumann A et al. | — | 2022 | → |
| Aggregative trans-eQTL analysis detects trait-specific target gene sets in whole blood. | Dutta D et al. | — | 2022 | → |
| A machine learning-based SNP-set analysis approach for identifying disease-associated susceptibility loci. | Silva PP et al. | — | 2022 | → |
| ANANASTRA: annotation and enrichment analysis of allele-specific transcription factor binding at SNPs. | Boytsov A et al. | — | 2022 | → |
| A Novel Multitasking Ant Colony Optimization Method for Detecting Multiorder SNP Interactions. | Tuo S et al. | — | 2022 | → |
| A Post-GWAS Functional Analysis Confirming Effects of Three BTA13 Genes <i>CACNB2</i>, <i>SLC39A12</i>, and <i>ZEB1</i> on Dairy Cattle Reproduction. | Sammad A et al. | — | 2022 | → |
| A Principal Component Informed Approach to Address Polygenic Risk Score Transferability Across European Cohorts. | Pärna K et al. | — | 2022 | → |
| A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction. | Pudjihartono N et al. | — | 2022 | → |
| A saturated map of common genetic variants associated with human height. | Yengo L et al. | — | 2022 | → |
| A scalable Bayesian functional GWAS method accounting for multivariate quantitative functional annotations with applications for studying Alzheimer disease. | Chen J et al. | — | 2022 | → |
| Bayesian Genetic Colocalization Test of Two Traits Using coloc. | Rasooly D et al. | — | 2022 | → |
| Benchmarking post-GWAS analysis tools in major depression: Challenges and implications. | Pérez-Granado J et al. | — | 2022 | → |
| CALDERA: finding all significant de Bruijn subgraphs for bacterial GWAS. | Roux de Bézieux H et al. | — | 2022 | → |
| Canary: an automated tool for the conversion of MaCH imputed dosage files to PLINK files. | Bennett AN et al. | — | 2022 | → |
| Capturing additional genetic risk from family history for improved polygenic risk prediction. | Lu T et al. | — | 2022 | → |
| Clarifying the causes of consistent and inconsistent findings in genetics. | Dattani S et al. | — | 2022 | → |
| Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity. | Gazal S et al. | — | 2022 | → |
| Consequences of exposure to pollutants on respiratory health: From genetic correlations to causal relationships. | D'Antona S et al. | — | 2022 | → |
| Constructing an atlas of associations between polygenic scores from across the human phenome and circulating metabolic biomarkers. | Fang S et al. | — | 2022 | → |
| Cross-ancestry genomic research: time to close the gap. | Atkinson EG et al. | — | 2022 | → |
| Deconstructing a Syndrome: Genomic Insights Into PCOS Causal Mechanisms and Classification. | Dapas M et al. | — | 2022 | → |
| Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. | Kassani PH et al. | — | 2022 | → |
| DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome. | Wang Y et al. | — | 2022 | → |
| Democratizing clinical-genomic data: How federated platforms can promote benefits sharing in genomics. | Alvarellos M et al. | — | 2022 | → |
| Detecting associated genes for complex traits shared across East Asian and European populations under the framework of composite null hypothesis testing. | Qiao J et al. | — | 2022 | → |
| Detection of genomic regions that differentiate <i>Bos indicus</i> from <i>Bos taurus</i> ancestral breeds for milk yield in Indian crossbred cows. | Al Kalaldeh M et al. | — | 2022 | → |
| Dissecting Complex Traits Using Omics Data: A Review on the Linear Mixed Models and Their Application in GWAS. | Alamin M et al. | — | 2022 | → |
| Dissecting the loci underlying maturation timing in Atlantic salmon using haplotype and multi-SNP based association methods. | Sinclair-Waters M et al. | — | 2022 | → |
| DNA methylation: a potential mediator between air pollution and metabolic syndrome. | Poursafa P et al. | — | 2022 | → |
| Dopaminergic Gene Dosage Reveals Distinct Biological Partitions between Autism and Developmental Delay as Revealed by Complex Network Analysis and Machine Learning Approaches. | Santos A et al. | — | 2022 | → |
| Drug genetic associations with COVID-19 manifestations: a data mining and network biology approach. | Charitou T et al. | — | 2022 | → |
| Enlightening the molecular mechanisms of type 2 diabetes with a novel pathway clustering and pathway subnetwork approach. | Bakir-Gungor B et al. | — | 2022 | → |
| European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) Expert Consensus Statement on the state of genetic testing for cardiac diseases. | Wilde AAM et al. | — | 2022 | → |
| European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) Expert Consensus Statement on the state of genetic testing for cardiac diseases. | Wilde AAM et al. | — | 2022 | → |
| Evaluating the impact of a new educational tool on understanding of polygenic risk scores for alcohol use disorder. | Driver MN et al. | — | 2022 | → |
| Evaluating the power and limitations of genome-wide association studies in Caenorhabditis elegans. | Widmayer SJ et al. | — | 2022 | → |
| Failing the four-gamete test enables exact phasing: the Corners' Algorithm. | Gomez-Raya L et al. | — | 2022 | → |
| Fine-mapping from summary data with the "Sum of Single Effects" model. | Zou Y et al. | — | 2022 | → |
| From Mendel to quantitative genetics in the genome era: the scientific legacy of W. G. Hill. | Charlesworth B et al. | — | 2022 | → |
| Functional screening of congenital heart disease risk loci identifies 5 genes essential for heart development in zebrafish. | Ma J et al. | — | 2022 | → |
| Gattaca as a lens on contemporary genetics: marking 25 years into the film's "not-too-distant" future. | Ogbunugafor CB et al. | — | 2022 | → |
| Gene-Based Association Tests Using New Polygenic Risk Scores and Incorporating Gene Expression Data. | Yan S et al. | — | 2022 | → |
| Genetic architecture behind developmental and seasonal control of tree growth and wood properties in Norway spruce. | Chen ZQ et al. | — | 2022 | → |
| Genetic association-based functional analysis detects <i>HOGA1</i> as a potential gene involved in fat accumulation. | Kim M et al. | — | 2022 | → |
| Genetic control of RNA splicing and its distinct role in complex trait variation. | Qi T et al. | — | 2022 | → |
| Genetic correlation between female infertility and mental health and lifestyle factors: A linkage disequilibrium score regression study. | Ma M et al. | — | 2022 | → |
| Genetic Determinants in Airways Obstructive Diseases: The Case of Asthma Chronic Obstructive Pulmonary Disease Overlap. | Saferali A et al. | — | 2022 | → |
| Genetic determinants of polygenic prediction accuracy within a population. | Lu T et al. | — | 2022 | → |
| Genetic insights into smoking behaviours in 10,558 men of African ancestry from continental Africa and the UK. | Piga NN et al. | — | 2022 | → |
| Genetic parameters and genome-wide association for milk production traits and somatic cell score in different lactation stages of Shanghai Holstein population. | Liu D et al. | — | 2022 | → |
| Genetic risk factors have a substantial impact on healthy life years. | Jukarainen S et al. | — | 2022 | → |
| Genetics of Alzheimer Disease. | Jayadev S | — | 2022 | → |
| Genetics of validated Parkinson's disease subtypes in the Oxford Discovery and Tracking Parkinson's cohorts. | Lawton M et al. | — | 2022 | → |
| Genome-wide associations of aortic distensibility suggest causality for aortic aneurysms and brain white matter hyperintensities. | Francis CM et al. | — | 2022 | → |
| Genome-Wide Association Studies Revealed Significant QTLs and Candidate Genes Associated with Backfat and Loin Muscle Area in Pigs Using Imputation-Based Whole Genome Sequencing Data. | Li J et al. | — | 2022 | → |
| Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health. | Tissink E et al. | — | 2022 | → |
| Genome-wide association study reveals the genetic basis of brace root angle and diameter in maize. | Sun D et al. | — | 2022 | → |
| Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits. | Nam K et al. | — | 2022 | → |
| GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies. | He Z et al. | — | 2022 | → |
| Glucocorticoids unmask silent non-coding genetic risk variants for common diseases. | Nguyen TTL et al. | — | 2022 | → |
| GWAS in the southern African context. | Swart Y et al. | — | 2022 | → |
| Hereditable variants of classical protein tyrosine phosphatase genes: Will they prove innocent or guilty? | Hendriks WJAJ et al. | — | 2022 | → |
| Identification and single-base gene-editing functional validation of a cis-EPO variant as a genetic predictor for EPO-increasing therapies. | Harlow CE et al. | — | 2022 | → |
| Identifying disease-critical cell types and cellular processes by integrating single-cell RNA-sequencing and human genetics. | Jagadeesh KA et al. | — | 2022 | → |
| Immune and spermatogenesis-related loci are involved in the development of extreme patterns of male infertility. | Cerván-Martín M et al. | — | 2022 | → |
| Insights into the Genomic Regions and Candidate Genes of Senescence-Related Traits in Upland Cotton via GWAS. | Liu Q et al. | — | 2022 | → |
| Integrating convolution and self-attention improves language model of human genome for interpreting non-coding regions at base-resolution. | Yang M et al. | — | 2022 | → |
| Integrating variant functional annotation scores have varied abilities to improve power of genome-wide association studies. | Gao J et al. | — | 2022 | → |
| Integration of multidimensional splicing data and GWAS summary statistics for risk gene discovery. | Ji Y et al. | — | 2022 | → |
| Integrative systems analysis identifies genetic and dietary modulators of bile acid homeostasis. | Li H et al. | — | 2022 | → |
| LARGE-SCALE MULTIVARIATE SPARSE REGRESSION WITH APPLICATIONS TO UK BIOBANK. | Qian J et al. | — | 2022 | → |
| Leveraging pleiotropy to discover and interpret GWAS results for sleep-associated traits. | Chun S et al. | — | 2022 | → |
| LmTag: functional-enrichment and imputation-aware tag SNP selection for population-specific genotyping arrays. | Thanh Nguyen D et al. | — | 2022 | → |
| Meta-analysis fine-mapping is often miscalibrated at single-variant resolution. | Kanai M et al. | — | 2022 | → |
| mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights. | Chang L et al. | — | 2022 | → |
| Missing heritability found for height. | Kuchenbaecker K | — | 2022 | → |
| Network reconstruction for trans acting genetic loci using multi-omics data and prior information. | Hawe JS et al. | — | 2022 | → |
| OMICs Technologies for Natural Compounds-based Drug Development. | Aborode AT et al. | — | 2022 | → |
| Open problems in human trait genetics. | Brandes N et al. | — | 2022 | → |
| Optimal experimental designs for estimating genetic and non-genetic effects underlying infectious disease transmission. | Pooley C et al. | — | 2022 | → |
| Organization of gene programs revealed by unsupervised analysis of diverse gene-trait associations. | Mizikovsky D et al. | — | 2022 | → |
| PolarMorphism enables discovery of shared genetic variants across multiple traits from GWAS summary statistics. | von Berg J et al. | — | 2022 | → |
| Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data. | Zhang MJ et al. | — | 2022 | → |
| Polygenic plague resistance in the great gerbil uncovered by population sequencing. | Nilsson P et al. | — | 2022 | → |
| Polygenic power calculator: Statistical power and polygenic prediction accuracy of genome-wide association studies of complex traits. | Wu T et al. | — | 2022 | → |
| Polygenic signals of sex differences in selection in humans from the UK Biobank. | Ruzicka F et al. | — | 2022 | → |
| Population-level variation in enhancer expression identifies disease mechanisms in the human brain. | Dong P et al. | — | 2022 | → |
| Prioritized candidate causal haplotype blocks in plant genome-wide association studies. | Wu X et al. | — | 2022 | → |
| Recent Advances in Cancer Drug Discovery Through the Use of Phenotypic Reporter Systems, Connectivity Mapping, and Pooled CRISPR Screening. | Salame N et al. | — | 2022 | → |
| Regulation of CIRP by genetic factors of SP1 related to cold sensitivity. | Kim SY et al. | — | 2022 | → |
| Review of prostate cancer genomic studies in Africa. | Samtal C et al. | — | 2022 | → |
| Risk Assessment for Hip and Knee Osteoarthritis Using Polygenic Risk Scores. | Sedaghati-Khayat B et al. | — | 2022 | → |
| Risk score prediction model based on single nucleotide polymorphism for predicting malaria: a machine learning approach. | Tai KY 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 | → |
| SNP-to-gene linking strategies reveal contributions of enhancer-related and candidate master-regulator genes to autoimmune disease. | Dey KK et al. | — | 2022 | → |
| Socioeconomic resources are associated with distributed alterations of the brain's intrinsic functional architecture in youth. | Sripada C et al. | — | 2022 | → |
| Status and prospects of genome-wide association studies in cotton. | Yasir M et al. | — | 2022 | → |
| Ten challenges for clinical translation in psychiatric genetics. | Derks EM et al. | — | 2022 | → |
| The Cannabis-Induced Epigenetic Regulation of Genes Associated with Major Depressive Disorder. | Mohammad GS et al. | — | 2022 | → |
| The human ATP-binding cassette (ABC) transporter superfamily. | Dean M et al. | — | 2022 | → |
| The missing diversity in human epigenomic studies. | Breeze CE et al. | — | 2022 | → |
| The next 10 years of behavioural genomic research. | Plomin R | — | 2022 | → |
| Trajectory of livestock genomics in South Asia: A comprehensive review. | Panigrahi M et al. | — | 2022 | → |
| TrustGWAS: A full-process workflow for encrypted GWAS using multi-key homomorphic encryption and pseudorandom number perturbation. | Yang M et al. | — | 2022 | → |
| Two-layer design protects genes from mutations in their enhancers. | Elkon R et al. | — | 2022 | → |
| Uncovering a Genetic Polymorphism Located in Huntingtin Associated Protein 1 in Modulation of Central Pain Sensitization Signaling Pathways. | Gloor Y et al. | — | 2022 | → |
| Using Polygenic Risk Scores Related to Complex Traits to Predict Production Performance in Cross-Breeding of Yeast. | Dai Y et al. | — | 2022 | → |
| Whole Exome Sequencing Study Identifies Novel Rare Risk Variants for Habitual Coffee Consumption Involved in Olfactory Receptor and Hyperphagia. | Cheng B et al. | — | 2022 | → |
| Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases. | Liu C et al. | — | 2022 | → |
| XSI-a genotype compression tool for compressive genomics in large biobanks. | Wertenbroek R et al. | — | 2022 | → |