Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations.
- Authors
- Peterson, Roseann E; Kuchenbaecker, Karoline; Walters, Raymond K; Chen, Chia-Yen; Popejoy, Alice B; Periyasamy, Sathish; Lam, Max; Iyegbe, Conrad; Strawbridge, Rona J; Brick, Leslie; Carey, Caitlin E; Martin, Alicia R; Meyers, Jacquelyn L; Su, Jinni; Chen, Junfang; Edwards, Alexis C; Kalungi, Allan; Koen, Nastassja; Majara, Lerato; Schwarz, Emanuel; Smoller, Jordan W; Stahl, Eli A; Sullivan, Patrick F; Vassos, Evangelos; Mowry, Bryan; Prieto, Miguel L; Cuellar-Barboza, Alfredo; Bigdeli, Tim B; Edenberg, Howard J; Huang, Hailiang; Duncan, Laramie E
- Year
- 2019
- Journal
- Cell
- PMID
- 31607513
- DOI
- 10.1016/j.cell.2019.08.051
- PMCID
- PMC6939869
Genome-wide association studies (GWASs) have focused primarily on populations of European descent, but it is essential that diverse populations become better represented. Increasing diversity among study participants will advance our understanding of genetic architecture in all populations and ensure that genetic research is broadly applicable. To facilitate and promote research in multi-ancestry and admixed cohorts, we outline key methodological considerations and highlight opportunities, challenges, solutions, and areas in need of development. Despite the perception that analyzing genetic data from diverse populations is difficult, it is scientifically and ethically imperative, and there is an expanding analytical toolbox to do it well.
Diversity in GWAS of psychiatric disorders compared to global diversity.Participant numbers were extracted from the largest consortium publication(s) for each psychiatric disorder and are shown as fractions of the total sample size for each disorder. Note: Sample sizes are given in parentheses. Numbers reflect cases and controls combined. MD=major depression (490,999), SCZ=schizophrenia (205,661), PTSD=post-traumatic stress disorder (188,932), BIP=bipolar disorder (51,710), ADHD=attention deficit hyperactivity disorder (55,230), AUT=autism (46,350), AD=alcohol dependence (52,848), AN=anorexia (14,477). *For schizophrenia, the African American samples from an earlier publication (2009, International Schizophrenia Consortium) were not included in the most recent PGC schizophrenia publication (2014). Ancestry information for each participant was based on principal components analysis of genetic data. See Supplemental Table S1 for consortium studies and references.
Flow chart for quality control, imputation, and association analysis in diverse population samples.This flowchart depicts the general analysis framework for genome-wide association studies of participants with diverse ancestral backgrounds. Note: boxes with red headers indicate analyses done in samples with diverse ancestral backgrounds and blue denotes analysis done within samples in major population groups. The left path shows a strategy for the stratified meta-analysis approach and the right path shows steps for the joint mixed model approach [see Supplemental Table 2 for more detailed quality control (QC) considerations].
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| Disentangling the relationship between psychiatric disorders, cardiometabolic abnormalities, and antipsychotics: A systematic review of genomic studies. | Shepherd R et al. | — | 2026 | → |
| Ethical navigation of biobanking establishment in Ukraine: learning from the experience of developing countries. | Sulaieva ON et al. | — | 2026 | → |
| Ethnic Discrimination Moderates Genetic Influences on Adolescent Internalizing and Externalizing Psychopathology. | Su J et al. | — | 2026 | → |
| Evaluating genetic-based disease prediction approaches through simulation. | Shpak M et al. | — | 2026 | → |
| Evocative effects of children's education-associated genetics on maternal parenting: results from the Norwegian mother, father and child cohort study. | Austerberry C et al. | — | 2026 | → |
| Functional ADAM12 variants modulate proteolytic activity and influence metabolic traits. | Drobiova H et al. | — | 2026 | → |
| Genetic associations with placental and pregnancy proteins in maternal serum identify biomarkers for hypertension in pregnancy. | Yan Q et al. | — | 2026 | → |
| Genome-wide association study of tolerance to acute hypoxia in the olive flounder (Paralichthys olivaceus) using individual blood cortisol levels as a physiological phenotype. | Dilshan MAH et al. | — | 2026 | → |
| Genomic Justice as Reproductive Justice: Universal Coverage for Preimplantation Genetic Testing for Hereditary Breast and Ovarian Cancer Syndrome. | Pleasant V et al. | — | 2026 | → |
| Hemispheric Asymmetry in the Genetic Overlap between Schizophrenia and White Matter Microstructure. | Zhang Y et al. | — | 2026 | → |
| Mapping epigenetic gene variant dynamics: comparative analysis of frequency, functional impact and trait associations in African and European populations. | Sinkala M et al. | — | 2026 | → |
| Mapping the genetic landscape across 14 psychiatric disorders. | Grotzinger AD et al. | — | 2026 | → |
| Maternal and fetal genetic predispositions to insulin deficiency and resistance affect fetal growth through distinct pathways. | Yu G et al. | — | 2026 | → |
| Multiomics of Human Obesity and Related Multisystem Diseases. | Anwar MY et al. | — | 2026 | → |
| Plasma Protein Fluctuation Trajectories Over 15 Years Before Rheumatoid Arthritis Onset. | Sun C et al. | — | 2026 | → |
| Polygenic risk scores: Navigating the future of precision medicine through economic, ethical, and scientific advancements. | Nguyen HHK et al. | — | 2026 | → |
| Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives. | Sessa F et al. | — | 2026 | → |
| Role of common host genome variants in Childhood Acute Lymphoblastic Leukemia. | Mikkelsen T et al. | — | 2026 | → |
| Role of Polygenic Risk Scores in Predicting Cognitive Functioning after Mild Traumatic Brain Injury: A TRACK-TBI Study. | Nelson LD et al. | — | 2026 | → |
| Shared genetic architecture of psychoactive substance use and pan-cancer: insights from a large‑scale genome‑wide cross‑trait analysis. | Song J et al. | — | 2026 | → |
| Strategies in Global Ancestry and Local Ancestry Inference. | Akgun B et al. | — | 2026 | → |
| Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for gout. | Liao WQ et al. | — | 2026 | → |
| Ten years of exome sequencing and reanalysis among racial, ethnic, and ancestral groups: The importance of equitable reanalysis access. | Giles A et al. | — | 2026 | → |
| The current state of polygenic scores for the development of lung cancer: a systematic review and validation in UK Biobank. | Galal B et al. | — | 2026 | → |
| A Genetic Test to Identify People at High Risk of Heart Failure. | Ge X et al. | — | 2025 | → |
| A genome-wide association study of methamphetamine use among people with HIV. | Venkataraman A et al. | — | 2025 | → |
| A machine learning framework for classifying dementia risk in mild cognitive impairment: evidence from a Korean genome-wide association study cohort. | Cho M et al. | — | 2025 | → |
| A multi-ancestry genome-wide association study identifies novel candidate loci in the RARB gene associated with hypertensive disorders of pregnancy. | Mack JA et al. | — | 2025 | → |
| An Integrated Multi-Omics Analysis Identifies Oxeiptosis-Related Biomarkers in Diabetic Retinopathy. | Deng J et al. | — | 2025 | → |
| A Reassessment of the Genomic Ancestry of the World's Largest Captive Baboon Colony. | Mercuri G et al. | — | 2025 | → |
| Assessment of polygenic risk score performance in East Asian populations for ten common diseases. | Jung HU et al. | — | 2025 | → |
| Association analysis between polygenic risk scores and traits: practical guidelines and tutorial with an illustrative data set of schizophrenia. | Irigoien I et al. | — | 2025 | → |
| Association Between Preoperative Cognitive Performance and Postoperative Delirium in Older Patients: Results From a Multicenter, Prospective Cohort Study, and a Mendelian Randomization Study. | Sun R et al. | — | 2025 | → |
| Bioaerosols and Airway Diseases: Mechanisms of Epithelial Dysfunction, Immune Activation, and Strategies for Exposure Mitigation. | Nabipur L et al. | — | 2025 | → |
| Bridging genomics' greatest challenge: The diversity gap. | Corpas M et al. | — | 2025 | → |
| Bridging the United States population diversity gaps in clinical research: roadmap to precision health and reducing health disparities. | Roman Y | — | 2025 | → |
| Characterizing features affecting local ancestry inference performance in admixed populations. | Honorato-Mauer J et al. | — | 2025 | → |
| Cohort profile update: the Korean Cancer Prevention Study-II (KCPS-II) biobank. | Kimm H et al. | — | 2025 | → |
| Common genetic variation associated with adult subcortical brain volume is also associated with subcortical brain volume at birth. | Cullen H et al. | — | 2025 | → |
| Comparative analysis of the Mexico City Prospective Study and the UK Biobank identifies ancestry-specific effects on clonal hematopoiesis. | Wen S et al. | — | 2025 | → |
| Comprehensive Profiling of Genetic and Nongenetic Factors that Influence Skin Traits in Asian Women from 4 Countries. | Moon H et al. | — | 2025 | → |
| Contribution of Rare and Potentially Functionally Relevant Sequence Variants in Schizophrenia Risk-Locus Xq28,distal. | Claus I et al. | — | 2025 | → |
| CRISPR as a Tool to Uncover Gene Function in Polycystic Ovary Syndrome: A Literature Review of Experimental Models Targeting Ovarian and Metabolic Genes. | Bucheeri S et al. | — | 2025 | → |
| Cross-ancestry genome-wide association study identifies new susceptibility genes for preeclampsia. | Shan Y et al. | — | 2025 | → |
| Cross-cohort genetic risk prediction for Alzheimer's disease: a transfer learning approach using GWAS and deep learning models. | Ihianle IK et al. | — | 2025 | → |
| Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation. | Yuan S et al. | — | 2025 | → |
| Development and Validation of Polygenic Risk Scores for Blood Pressure Traits in Continental African Populations. | Onyenobi E et al. | — | 2025 | → |
| Differential results of genetic risk scoring for multiple sclerosis in European and African American populations. | Rivier CA et al. | — | 2025 | → |
| Diversifying Psychiatric Genomics: Globally Inclusive Strategies Toward Health Equity. | Giusti-Rodríguez P et al. | — | 2025 | → |
| Does the Association Between Eye Disease and Cognitive Function Vary by Genetic Risk of Cognitive Decline? An Analysis of Hospital Data With Replication in the Canadian Longitudinal Study on Aging. | Tran E et al. | — | 2025 | → |
| Echoes of Inequity: A Critical Examination of the Past, Present, and Future of Cardiac Health Equity. | Awoyemi T et al. | — | 2025 | → |
| Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks. | Ma Y et al. | — | 2025 | → |
| Engaging migrants and immigrants in genetics research. | Valdez-Aguilar M et al. | — | 2025 | → |
| Environmental risk factors for schizophrenia spectrum disorders around the globe: a mapping review of the literature. | Tosato S et al. | — | 2025 | → |
| Evaluation of imputation performance of multiple reference panels in a Pakistani population. | Xu J et al. | — | 2025 | → |
| Evolution, genetic diversity, and health. | Palma-Martínez MJ et al. | — | 2025 | → |
| Examining polygenic scores for depression, depressive symptoms from childhood to adolescence, and adolescent substance use in a diverse sample: The moderating impact of a family-centered intervention. | Elam KK et al. | — | 2025 | → |
| Exome sequencing reveals low-frequency and rare variant contributions to multiple sclerosis susceptibility in Turkish families. | Büyükgöl F et al. | — | 2025 | → |
| Expanding scope of genetic studies in the era of biobanks. | Dutta D et al. | — | 2025 | → |
| From clock to clock: Therapeutic target discovery for aging and age-related diseases. | Chen J et al. | — | 2025 | → |
| From individuals to ancestries: Towards attributing trait variation to haplotypes. | Yang Y et al. | — | 2025 | → |
| From variants to mechanisms: Neurogenomics in the post-GWAS era. | Margolis MP et al. | — | 2025 | → |
| G4mer: An RNA language model for transcriptome-wide identification of G-quadruplexes and disease variants from population-scale genetic data. | Zhuang F et al. | — | 2025 | → |
| Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia. | Dang X et al. | — | 2025 | → |
| Genetic analysis of psychosis Biotypes: shared Ancestry-adjusted polygenic risk and unique genomic associations. | Xia C et al. | — | 2025 | → |
| Genetic and epigenetic landscape of erectile dysfunction: a comprehensive review. | Ajayi AF et al. | — | 2025 | → |
| Genetic architectures of childhood maltreatment and causal influence of childhood maltreatment on health outcomes in adulthood. | Chen TT et al. | — | 2025 | → |
| Genetic association between sleep quality, insomnia, and psychological distress: a systematic review and meta-analysis. | Blanco-García FJ et al. | — | 2025 | → |
| Genetic haplotypes in <i>VWA8, OSBPL6,</i> and <i>ADAMTS9-AS2</i> are associated with immune-related adverse effects in ICI-treated patients with cancer. | Raj P et al. | — | 2025 | → |
| Genome-Wide Association Study Reveals Genetic Architecture of Common Epilepsies. | Thakran S et al. | — | 2025 | → |
| Genomic links between symptoms of eating disorders and suicidal ideation. | Musial A et al. | — | 2025 | → |
| Genomics of Bipolar Disorder: What the Clinician Needs to Know. | McQuillin A et al. | — | 2025 | → |
| Haematological setpoints are a stable and patient-specific deep phenotype. | Foy BH et al. | — | 2025 | → |
| Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder. | McGrouther CC et al. | — | 2025 | → |
| How Everything Is Connected to Everything Else - Population-Specific Connections between Adaptive Evolution, Disease Susceptibility, and Drug Responsiveness. | Tang J et al. | — | 2025 | → |
| Identification of risk variants and cross-disorder pleiotropy through multi-ancestry genome-wide analysis of alcohol use disorder. | Icick R et al. | — | 2025 | → |
| Improved allele frequencies in gnomAD through local ancestry inference. | Kore P et al. | — | 2025 | → |
| Improving Cardiovascular Health Through the Consideration of Social Factors in Genetics and Genomics Research: A Scientific Statement From the American Heart Association. | Suglia SF et al. | — | 2025 | → |
| Improving causal effect estimation in multi-ancestry multivariable Mendelian randomization with transfer learning | Yang Y et al. | — | 2025 | — |
| Intergenerational Transmission of Cannabis Use: Testing Genetic Risk and the Mitigating Influences of Parent Positive Behavior Support in Early Childhood. | Ostner SG et al. | — | 2025 | → |
| Mediterranean diet adherence and incident acute pancreatitis: a prospective cohort study. | Zhou C et al. | — | 2025 | → |
| Mendelian Randomisation: Concepts, Opportunities, Challenges, and Future Directions. | de Ruiter SC et al. | — | 2025 | → |
| Methodological opportunities in genomic data analysis to advance health equity. | Lehmann B et al. | — | 2025 | → |
| Methods for multiancestry genome-wide association study meta-analysis. | Yap CF et al. | — | 2025 | → |
| MIP4IBD: An Easy and Rapid Genotyping-by-Sequencing Assay for the Inflammatory Bowel Diseases Risk Loci. | Verstockt S et al. | — | 2025 | → |
| Molecular epidemiology of traumatic brain injury outcome amongst individuals of Black racial identity or African ancestry: a scoping review protocol. | Wroblewski TH et al. | — | 2025 | → |
| Monitoring diversity in genome-wide association studies requires measuring and reporting on immigration-related factors. | Tu Y et al. | — | 2025 | → |
| Multi-ancestry genome-wide association analyses: a comparison of meta- and mega-analyses in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study. | Kuang A et al. | — | 2025 | → |
| Multi-ancestry GWAS reveals loci linked to human variation in LINE-1- and Alu-insertion numbers. | Bravo JI et al. | — | 2025 | → |
| Multi-ancestry sequencing-based genome-wide association study of C-reactive protein in 513,273 genomes. | Li H et al. | — | 2025 | → |
| Multi-phase, multi-ethnic GWAS uncovers putative loci in predisposition to elite sprint and power performance, health and disease. | Wang G et al. | — | 2025 | → |
| New Genomics Discoveries Across the Bipolar Disorder Spectrum Implicate Neurobiological and Developmental Pathways. | O'Connell KS et al. | — | 2025 | → |
| Obesity-related brain atrophy is independent of Alzheimer's disease protein pathways. | Morys F et al. | — | 2025 | → |
| Polygene by environment interactions predicting depressive outcomes. | Grillo AR | — | 2025 | → |
| Polygenic height prediction for the Han Chinese in Taiwan. | Chang CH et al. | — | 2025 | → |
| Polygenic Risk Scores: Coming to Your Operating Room? | Kovacheva VP et al. | — | 2025 | → |
| Polygenic scores and their applications in kidney disease. | Khan A et al. | — | 2025 | → |
| Psychiatric genetics in the diverse landscape of Latin American populations. | Bruxel EM et al. | — | 2025 | → |
| Psychiatric Polygenic Risk Scores and Week-by-Week Symptomatic Status in Youth with Bipolar Disorder: An Exploratory Study. | Jiang X et al. | — | 2025 | → |
| Putting the patient at the centre: a call for research involvement of nurses, midwives and allied health professionals working in genomics. | Cowley L et al. | — | 2025 | → |
| Recent findings and future directions for the intersection of genetic and environmental contributions to schizophrenia. | Robinson N et al. | — | 2025 | → |
| Recommendations for responsible use of population descriptors in polygenic risk score development. | Smith JL et al. | — | 2025 | → |
| Reproductive options and genetic testing for patients with an inherited cardiac disease. | Verdonschot JAJ et al. | — | 2025 | → |
| Responses of Sitobion avenae (Hemiptera: Aphididae) to water-deficit stress on drought-resistant wheat cultivars. | Khoso AG et al. | — | 2025 | → |
| sc2GWAS: a comprehensive platform linking single cell and GWAS traits of human. | Yin M et al. | — | 2025 | → |
| Shattering the monolith: burden of gastrointestinal cancer in Asian Americans, Native Hawaiians, and Pacific Islanders in the United States. | Yoon JY et al. | — | 2025 | → |
| SNP associations in the L-citrulline metabolic pathway and vascular aging in the Japanese population. | Nogimura D et al. | — | 2025 | → |
| SPAmix: a scalable, accurate, and universal analysis framework for large-scale genetic association studies in admixed populations. | Ma Y et al. | — | 2025 | → |
| Striving Towards Equity in Cardiovascular Genomics Research. | Jurado Vélez J et al. | — | 2025 | → |
| The accuracy of polygenic score models for BMI and Type II diabetes in the Native Hawaiian population. | Lo YC et al. | — | 2025 | → |
| The Eating Disorders Genetics Initiative 2 (EDGI2): study protocol. | Berthold N et al. | — | 2025 | → |
| The genetic architecture of HIV-1 virulence. | Blanquart F et al. | — | 2025 | → |
| The Impact of Ancestry on Genome-Wide Association Studies. | Jones SC et al. | — | 2025 | → |
| The impact of the COVID-19 pandemic on alcohol use disorder symptoms: Testing interactions with polygenic risk. | Bountress KE et al. | — | 2025 | → |
| The implementation of genome sequencing in rare genetic diseases diagnosis: a pilot study from the Hong Kong genome project. | Lam WKJ et al. | — | 2025 | → |
| The lack of <i>ESR1</i> ethnic diversity evidence and its implications for breast cancer personalized treatment. | Manóchio C et al. | — | 2025 | → |
| The Promise of Genetics in Alcohol Use Disorders and the Problems of Phenotype, Polygenetic Architecture, Ancestry, and Comorbidity. | Ehlers CL et al. | — | 2025 | → |
| The Psychiatric Genomics Consortium: discoveries and directions. | Agrawal A et al. | — | 2025 | → |
| Towards a consensus roadmap for a new diagnostic framework for mental disorders. | Kas MJH et al. | — | 2025 | → |
| Unlocking genetic hotspots: GWAS reveals key nitrogen responsive genomic regions and key genes for root and yield traits in indica rice. | Poudel A et al. | — | 2025 | → |
| Update on the genetics of allergic diseases. | Lawson LP et al. | — | 2025 | → |
| Using pre-training and interaction modeling for ancestry-specific disease prediction using multiomics data from the UK Biobank. | Le Menestrel T et al. | — | 2025 | → |
| Utilising genomic association data for causal inference in anorexia nervosa. | Adams DM et al. | — | 2025 | → |
| Utility of Germline, Somatic and ctDNA Testing in Adults With Cancer. | DeBortoli E et al. | — | 2025 | → |
| Utilization of polygenic risk scores in drug development protocols. | Pressly MA et al. | — | 2025 | → |
| Why Do Association Studies? | Abacan MAR | — | 2025 | → |
| A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations. | Fu S et al. | — | 2024 | → |
| A Developmentally-Informative Genome-wide Association Study of Alcohol Use Frequency. | Thomas NS et al. | — | 2024 | → |
| Alcohol Use Disorder Polygenic Risk Scores and Trajectories of Early Adolescent Externalizing Behaviors: Examining the Role of Parenting and Family Conflict in the Racially/Ethnically Diverse ABCD Sample. | Trevino AD et al. | — | 2024 | → |
| Algorithms for the identification of prevalent diabetes in the All of Us Research Program validated using polygenic scores. | Szczerbinski L et al. | — | 2024 | → |
| A multi-ancestry genome-wide association study in type 1 diabetes. | Michalek DA et al. | — | 2024 | → |
| Amygdala connectivity is associated with withdrawn/depressed behavior in a large sample of children from the Adolescent Brain Cognitive Development (ABCD) Study®. | Thomas E et al. | — | 2024 | → |
| An ensemble penalized regression method for multi-ancestry polygenic risk prediction. | Zhang J et al. | — | 2024 | → |
| Association between a polygenic lipodystrophy genetic risk score and diabetes risk in the high prevalence Maltese population. | Zammit M et al. | — | 2024 | → |
| Biostatistical Aspects of Whole Genome Sequencing Studies: Preprocessing and Quality Control. | Betschart RO et al. | — | 2024 | → |
| Brain cell-type shifts in Alzheimer's disease, autism, and schizophrenia interrogated using methylomics and genetics. | Yap CX et al. | — | 2024 | → |
| Causal relationship between cancer and immune cell traits: A two-sample mendelian randomization study. | Qiu Z et al. | — | 2024 | → |
| Childhood maltreatment and health in the UK Biobank: triangulation of outcome-wide and polygenic risk score analyses. | Espinosa Dice AL et al. | — | 2024 | → |
| Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder. | Bigdeli TB et al. | — | 2024 | → |
| Cross-ancestry analysis of brain QTLs enhances interpretation of schizophrenia genome-wide association studies. | Chen Y et al. | — | 2024 | → |
| Cross-ancestry genetic architecture and prediction for cholesterol traits. | Momin MM et al. | — | 2024 | → |
| Cross-ancestry genome-wide association studies of brain imaging phenotypes. | Fu J et al. | — | 2024 | → |
| Decoding the genetic landscape of autism: A comprehensive review. | Al-Beltagi M et al. | — | 2024 | → |
| Descriptor: <i>Synthetic Genomic Dataset With Diverse Ancestry (SynGen6)</i>. | Wang X et al. | — | 2024 | → |
| Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies. | Tian J et al. | — | 2024 | → |
| Discovering mechanisms of human genetic variation and controlling cell states at scale. | Frenkel M et al. | — | 2024 | → |
| Disparities in ABO blood type determination across diverse ancestries: a systematic review and validation in the All of Us Research Program. | Martinez KL et al. | — | 2024 | → |
| Dissecting the complex genetic basis of pre- and post-harvest traits in <i>Vitis vinifera L</i>. using genome-wide association studies. | García-Abadillo J et al. | — | 2024 | → |
| Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program. | Verma A et al. | — | 2024 | → |
| Emerging applications of machine learning in genomic medicine and healthcare. | Chafai N et al. | — | 2024 | → |
| Evaluation of genomic factors and early childhood stimulation on intelligence in children from a Brazilian birth cohort: The primary role of independent factors. | Sánchez-Luquez KY et al. | — | 2024 | → |
| Exploring the role of underrepresented populations in polygenic risk scores for neurodegenerative disease risk prediction. | Step K et al. | — | 2024 | → |
| Functional genomics and small molecules in mitochondrial neurodevelopmental disorders. | Calame DG et al. | — | 2024 | → |
| Gene discovery and biological insights into anxiety disorders from a large-scale multi-ancestry genome-wide association study. | Friligkou E et al. | — | 2024 | → |
| Gene-environment interactions in human health. | Herrera-Luis E et al. | — | 2024 | → |
| Genetic ancestry and diagnostic yield of exome sequencing in a diverse population. | Mavura Y et al. | — | 2024 | → |
| Genetic architecture and socio-environmental risk factors for major depressive disorder in Nepal. | Choi KW et al. | — | 2024 | → |
| Genetic architecture of routinely acquired blood tests in a British South Asian cohort. | Jacobs BM et al. | — | 2024 | → |
| Genetic control of DNA methylation is largely shared across European and East Asian populations. | Hatton AA et al. | — | 2024 | → |
| Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. | Suzuki K et al. | — | 2024 | → |
| Genetic influences on alcohol sensitivity: A critical review. | Yeung EW et al. | — | 2024 | → |
| Genetic influences on brain and cognitive health and their interactions with cardiovascular conditions and depression. | Zhukovsky P et al. | — | 2024 | → |
| Genetic liability for gastrointestinal inflammation disorders and association with gastrointestinal symptoms in children with and without autism. | Morrill V et al. | — | 2024 | → |
| Genetic Researchers' Use of and Interest in Research With Diverse Ancestral Groups. | Jaffe K et al. | — | 2024 | → |
| Genome-wide association analysis of cystatin c and creatinine kidney function in Chinese women. | Cai Y et al. | — | 2024 | → |
| Genome-Wide Association Studies of 3 Distinct Recovery Phenotypes in Mild Ischemic Stroke. | Aldridge CM et al. | — | 2024 | → |
| Genome-wide association study implicates the role of TBXAS1 in the pathogenesis of depressive symptoms among the Korean population. | Park K et al. | — | 2024 | → |
| Genomic insights for personalised care in lung cancer and smoking cessation: motivating at-risk individuals toward evidence-based health practices. | Chen T et al. | — | 2024 | → |
| Genomics and Biodiversity: Applications and Ethical Considerations for Climate-Just Conservation. | Miner SA et al. | — | 2024 | → |
| Genomics Research of Lifetime Depression in the Netherlands: The BIObanks Netherlands Internet Collaboration (BIONIC) Project. | Huider F et al. | — | 2024 | → |
| Hierarchical joint analysis of marginal summary statistics-Part I: Multipopulation fine mapping and credible set construction. | Shen J et al. | — | 2024 | → |
| Human genetic associations of the airway microbiome in chronic obstructive pulmonary disease. | Gao J et al. | — | 2024 | → |
| Human genetics and epigenetics of alcohol use disorder. | Zhou H et al. | — | 2024 | → |
| Human Genetic Variation in F3 and Its Impact on Tissue Factor-Dependent Disease. | Park JK et al. | — | 2024 | → |
| Identifying key genes in COPD risk via multiple population data integration and gene prioritization. | Zainab A et al. | — | 2024 | → |
| Improving genetic risk modeling of dementia from real-world data in underrepresented populations. | Fu M et al. | — | 2024 | → |
| Imputation accuracy across global human populations. | Cahoon JL et al. | — | 2024 | → |
| Individual Trajectories of Depressive Symptoms Within Racially-Ethnically Diverse Youth: Associations with Polygenic Risk for Depression and Substance Use Intent and Perceived Harm. | Elam KK et al. | — | 2024 | → |
| Inflammation and immune system pathways as biological signatures of adolescent depression-the IDEA-RiSCo study. | Zonca V et al. | — | 2024 | → |
| Large-scale integrative analysis of juvenile idiopathic arthritis for new insight into its pathogenesis. | Kim D et al. | — | 2024 | → |
| Latin American Trans-ancestry INitiative for OCD genomics (LATINO): Study protocol. | Crowley JJ et al. | — | 2024 | → |
| Low-frequency and rare genetic variants associated with rheumatoid arthritis risk. | Kronzer VL et al. | — | 2024 | → |
| Mendelian randomization studies on coronary artery disease: a systematic review and meta-analysis. | Silva S et al. | — | 2024 | → |
| MESuSiE enables scalable and powerful multi-ancestry fine-mapping of causal variants in genome-wide association studies. | Gao B et al. | — | 2024 | → |
| Multi-omics based artificial intelligence for cancer research. | Li L et al. | — | 2024 | → |
| Multi-trait GWAS for diverse ancestries: mapping the knowledge gap. | Troubat L et al. | — | 2024 | → |
| Novel risk loci for COVID-19 hospitalization among admixed American populations. | Diz-de Almeida S et al. | — | 2024 | → |
| Open Science Practices in Psychiatric Genetics: A Primer. | Kępińska AP et al. | — | 2024 | → |
| Opioid trail: Tracking contributions to opioid use disorder from host genetics to the gut microbiome. | Duffy EP et al. | — | 2024 | → |
| Overcoming barriers to single-cell RNA sequencing adoption in low- and middle-income countries. | Boakye Serebour T et al. | — | 2024 | → |
| Partitioning the Genomic Components of Behavioral Disinhibition and Substance Use (Disorder) Using Genomic Structural Equation Modeling. | Horwitz TB et al. | — | 2024 | → |
| Phased nanopore assembly with Shasta and modular graph phasing with GFAse. | Lorig-Roach R et al. | — | 2024 | → |
| Polygenic risk for suicide attempt is associated with lifetime suicide attempt in US soldiers independent of parental risk. | Stein MB et al. | — | 2024 | → |
| Polygenic Risk Scores: The Next Step for Improved Risk Stratification in Coronary Artery Disease? | Stein R et al. | — | 2024 | → |
| Population Neuroscience: Understanding Concepts of Generalizability and Transportability and Their Application to Improving the Public's Health. | Keyes KM et al. | — | 2024 | → |
| Precision epidemiology at the nexus of mathematics and nanotechnology: Unraveling the dance of viral dynamics. | Aljabali AAA et al. | — | 2024 | → |
| Preeclampsia Prediction Using Machine Learning and Polygenic Risk Scores From Clinical and Genetic Risk Factors in Early and Late Pregnancies. | Kovacheva VP et al. | — | 2024 | → |
| Progress and Implications from Genetic Studies of Bipolar Disorder. | Kong L et al. | — | 2024 | → |
| Psychiatric neuroimaging at a crossroads: Insights from psychiatric genetics. | Dall'Aglio L et al. | — | 2024 | → |
| Psychiatric Polygenic Risk Scores Across Youth With Bipolar Disorder, Youth at High Risk for Bipolar Disorder, and Controls. | Jiang X et al. | — | 2024 | → |
| Reporting of Race, Ethnicity, and Ancestry Remains Inadequate in Kidney Research. | Roushani J et al. | — | 2024 | → |
| Schizophrenia genomics: genetic complexity and functional insights. | Sullivan PF et al. | — | 2024 | → |
| Shared genetic architectures of educational attainment in East Asian and European populations. | Chen TT et al. | — | 2024 | → |
| Simplified detection of genetic background admixture using artificial intelligence. | Pauly R et al. | — | 2024 | → |
| Systematic exploration of a decade of publications on psychiatric genetics in Latin America. | Garro-Núñez D et al. | — | 2024 | → |
| The association between lipid parameters and erectile dysfunction: a two-sample Mendelian randomization and case-control study. | Ke M et al. | — | 2024 | → |
| The causal association of cheese intake with type 2 diabetes mellitus: results from a two-sample Mendelian randomization study. | Zhong T et al. | — | 2024 | → |
| The frequency of the ACE I/D polymorphism in South America: a systematic review and meta-analysis. | Trevisano RG et al. | — | 2024 | → |
| The impact of schizophrenia genetic load and heavy cannabis use on the risk of psychotic disorder in the EU-GEI case-control and UK Biobank studies. | Austin-Zimmerman I et al. | — | 2024 | → |
| The importance of family-based sampling for biobanks. | Davies NM et al. | — | 2024 | → |
| The Promise and Challenges of Integrating Biological and Prevention Sciences: A Community-Engaged Model for the Next Generation of Translational Research. | Leve LD et al. | — | 2024 | → |
| Translation of genome-wide association study: from genomic signals to biological insights. | Bruner WS et al. | — | 2024 | → |
| TwinsMX: Exploring the Genetic and Environmental Influences on Health Traits in the Mexican Population. | García-Vilchis B et al. | — | 2024 | → |
| What Next for Eating Disorder Genetics? Replacing Myths With Facts to Sharpen Our Understanding. | Huckins LM et al. | — | 2024 | → |
| What Risks Do Offspring of Parents With Alcohol Use Disorder Face? | Edenberg HJ | — | 2024 | → |
| Worldwide distribution of genetic factors related to severity of COVID-19 infection. | Esteban ME et al. | — | 2024 | → |
| 15 years of GWAS discovery: Realizing the promise. | Abdellaoui A et al. | — | 2023 | → |
| 3D genomics and its applications in precision medicine. | Chen M et al. | — | 2023 | → |
| Actionable Solutions to Achieve Health Equity in Chronic Liver Disease. | Jones PD et al. | — | 2023 | → |
| Advancement in Human Face Prediction Using DNA. | Alshehhi A et al. | — | 2023 | → |
| A genome-wide association study identifies a possible role for cannabinoid signalling in the pathogenesis of diabetic kidney disease. | Osman W et al. | — | 2023 | → |
| Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry. | Mueller SH et al. | — | 2023 | → |
| Alcohol use polygenic risk score, social support, and alcohol use among European American and African American adults. | Su J et al. | — | 2023 | → |
| Analysis across Taiwan Biobank, Biobank Japan, and UK Biobank identifies hundreds of novel loci for 36 quantitative traits. | Chen CY et al. | — | 2023 | → |
| Analytical Approaches to Uncover Genetic Associations for Rare Outcomes: Lessons from West Nile Neuroinvasive Disease. | Cahill ME et al. | — | 2023 | → |
| Ancestry: How researchers use it and what they mean by it. | Dauda B et al. | — | 2023 | → |
| An integrative framework and recommendations for the study of DNA methylation in the context of race and ethnicity. | Chan MH et al. | — | 2023 | → |
| A person-centered data analytic approach to dopaminergic polygenic moderation of child maltreatment exposure. | Handley ED et al. | — | 2023 | → |
| A scoping review of smoking cessation pharmacogenetic studies to advance future research across racial, ethnic, and ancestral populations. | Prom-Wormley EC et al. | — | 2023 | → |
| Assessing the associations between known genetic variants and substance use in people with HIV in the United States. | Haas CB et al. | — | 2023 | → |
| Assessment of multi-population polygenic risk scores for lipid traits in African Americans. | Drouet DE et al. | — | 2023 | → |
| Association of Gout Polygenic Risk Score With Age at Disease Onset and Tophaceous Disease in European and Polynesian Men With Gout. | Sumpter NA et al. | — | 2023 | → |
| Asthma susceptibility: Learning from genetic diversity. | Sun Y et al. | — | 2023 | → |
| Beyond borders: A commentary on the benefit of promoting immigrant populations in genome-wide association studies. | Fernández-Rhodes L | — | 2023 | → |
| Brain-derived neurotrophic factor Val66Met and neuropsychological functioning after early childhood traumatic brain injury. | Treble-Barna A et al. | — | 2023 | → |
| Bridging the gap: returning genetic results to indigenous communities in Latin America. | Arango-Isaza E et al. | — | 2023 | → |
| Circulating epigenomic biomarkers correspond with kidney disease susceptibility in high-risk populations with type 2 diabetes mellitus. | Khurana I et al. | — | 2023 | → |
| Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations. | Thomas M et al. | — | 2023 | → |
| Common and rare variants associated with cardiometabolic traits across 98,622 whole-genome sequences in the All of Us research program. | Wang X et al. | — | 2023 | → |
| Comparing Pruning and Thresholding with Continuous Shrinkage Polygenic Score Methods in a Large Sample of Ancestrally Diverse Adolescents from the ABCD Study<sup>®</sup>. | Ahern J et al. | — | 2023 | → |
| Coronary heart disease and ischemic stroke polygenic risk scores and atherosclerotic cardiovascular disease in a diverse, population-based cohort study. | Bebo A et al. | — | 2023 | → |
| Cross-Ancestry DNA Methylation Marks of Insulin Resistance in Pregnancy: An Integrative Epigenome-Wide Association Study. | Fragoso-Bargas N et al. | — | 2023 | → |
| Cross-ancestry genetic discovery for hippocampal volumetric traits. | — | — | 2023 | → |
| Cross-ancestry genome-wide association meta-analyses of hippocampal and subfield volumes. | Liu N et al. | — | 2023 | → |
| Differences in genetic correlations between posttraumatic stress disorder and alcohol-related problems phenotypes compared to alcohol consumption-related phenotypes. | Bountress KE et al. | — | 2023 | → |
| Disentangling the complexity of psoriasis in the post-genome-wide association era. | Antonatos C et al. | — | 2023 | → |
| Ethical principles, challenges and opportunities when conducting genetic counselling for schizophrenia. | Zingela Z et al. | — | 2023 | → |
| Evaluating NetMHCpan performance on non-European HLA alleles not present in training data. | Atkins TK et al. | — | 2023 | → |
| Evolutionary Landscape of <i>SOX</i> Genes to Inform Genotype-to-Phenotype Relationships. | Underwood A et al. | — | 2023 | → |
| Examining interactions between polygenic scores and interpersonal trauma exposure on alcohol consumption and use disorder in an ancestrally diverse college cohort. | Sheerin CM et al. | — | 2023 | → |
| Examining the relationship between genetic risk for depression and youth episodic stress exposure. | Harrison TJ et al. | — | 2023 | → |
| Examining the shared etiology of psychopathology with genome-wide association studies. | Mallard TT et al. | — | 2023 | → |
| Extremely sparse models of linkage disequilibrium in ancestrally diverse association studies. | Salehi Nowbandegani P et al. | — | 2023 | → |
| Family environment and polygenic risk in the bipolar high-risk context. | Stapp EK et al. | — | 2023 | → |
| Family, twin and adoption studies of severe mental disorders in sub-Saharan Africa: a scoping review. | Onu JU et al. | — | 2023 | → |
| Gene burden analysis identifies genes associated with increased risk and severity of adult-onset hearing loss in a diverse hospital-based cohort. | Hui D et al. | — | 2023 | → |
| Gene-by-Sex Interactions: Genome-Wide Association Study Reveals Five SNPs Associated with Obesity and Overweight in a Male Population. | Kyrgiafini MA et al. | — | 2023 | → |
| Gene-environment correlations and genetic confounding underlying the association between media use and mental health. | Ayorech Z et al. | — | 2023 | → |
| Gene-environment interactions and their impact on human health. | Virolainen SJ et al. | — | 2023 | → |
| Genetic Architecture of Dilated Cardiomyopathy in Individuals of African and European Ancestry. | Jordan E et al. | — | 2023 | → |
| Genetic heterogeneity in cardiovascular disease across ancestries: Insights for mechanisms and therapeutic intervention. | Soremekun O et al. | — | 2023 | → |
| Genetic Inheritance Models of Non-Syndromic Cleft Lip with or without Palate: From Monogenic to Polygenic. | Cheng X 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 Liability, Exposure Severity, and Post-Traumatic Stress Disorder Predict Cognitive Impairment in World Trade Center Responders. | Mann FD et al. | — | 2023 | → |
| Genetic nurture in educational attainment. | Cawley J et al. | — | 2023 | → |
| Genetic predictors of lifelong medication-use patterns in cardiometabolic diseases. | Kiiskinen T et al. | — | 2023 | → |
| Genetic propensity, socioeconomic status, and trajectories of depression over a course of 14 years in older adults. | Kosciuszko M et al. | — | 2023 | → |
| Genetic variants associated with post-traumatic stress symptoms in patients with gynecologic cancer. | Johnson AM et al. | — | 2023 | → |
| Genetic Variation and Sensory Perception of a Pediatric Formulation of Ibuprofen: Can a Medicine Taste Too Good for Some? | Mennella JA et al. | — | 2023 | → |
| Genome-Wide Associations and Confirmatory Meta-Analyses in Diabetic Retinopathy. | Yu X 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 tuberculosis in the western Chinese Han and Tibetan population. | Bai H et al. | — | 2023 | → |
| Genotype Data and Derived Genetic Instruments of Adolescent Brain Cognitive Development Study<sup>®</sup> for Better Understanding of Human Brain Development. | Fan CC et al. | — | 2023 | → |
| Identification of disease-associate variants of aggressive periodontitis using genome-wide association studies. | Fujihara C et al. | — | 2023 | → |
| Identifying genetic loci that are associated with changes in gene expression in PTSD in a South African cohort. | Swart PC et al. | — | 2023 | → |
| Impact of cross-ancestry genetic architecture on GWASs in admixed populations. | Mester R et al. | — | 2023 | → |
| Importance of Diversity in Precision Medicine: Generalizability of Genetic Associations Across Ancestry Groups Toward Better Identification of Disease Susceptibility Variants. | Cruz LA et al. | — | 2023 | → |
| Inborn Errors of Immunity in Hidradenitis Suppurativa Pathogenesis and Disease Burden. | Colvin A et al. | — | 2023 | → |
| Influence of Admixture on Phenotypes. | Brugger SW et al. | — | 2023 | → |
| Influences of race and clinical variables on psychiatric genetic research participation: Results from a schizophrenia sample. | Xavier RM et al. | — | 2023 | → |
| Leveraging family data to design Mendelian randomization that is provably robust to population stratification. | LaPierre N et al. | — | 2023 | → |
| Life is pain: Fibromyalgia as a nexus of multiple liability distributions. | Moscati A et al. | — | 2023 | → |
| Limitations of principal components in quantitative genetic association models for human studies. | Yao Y et al. | — | 2023 | → |
| Meta-Analyses of Genome-Wide Association Studies for Postpartum Depression. | Guintivano J et al. | — | 2023 | → |
| Meta-analysis of African ancestry genome-wide association studies identified novel locus and validates multiple loci associated with kidney function. | Kintu C et al. | — | 2023 | → |
| Meta-analysis of genome-wide association studies of gestational duration and spontaneous preterm birth identifies new maternal risk loci. | Pasanen A et al. | — | 2023 | → |
| Meta-analysis of the diagnostic and clinical utility of exome and genome sequencing in pediatric and adult patients with rare diseases across diverse populations. | Chung CCY et al. | — | 2023 | → |
| Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program. | Wendt FR et al. | — | 2023 | → |
| Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing. | Chen F et al. | — | 2023 | → |
| Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort. | He Q et al. | — | 2023 | → |
| New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. | Andreassen OA et al. | — | 2023 | → |
| Novel Functional Genomics Approaches Bridging Neuroscience and Psychiatry. | Restrepo-Lozano JM et al. | — | 2023 | → |
| Optimal strategies for learning multi-ancestry polygenic scores vary across traits. | Lehmann B et al. | — | 2023 | → |
| Partial Identification of the Average Causal Effect in Multiple Study Populations: The Challenge of Combining Mendelian Randomization Studies. | Diemer EW et al. | — | 2023 | → |
| Patient priorities for fulfilling the principle of respect in research: findings from a modified Delphi study. | Kraft SA et al. | — | 2023 | → |
| Phenotype and genetic analysis of data collected within the first year of NeuroDev. | Kipkemoi P et al. | — | 2023 | → |
| Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder. | Dahl A et al. | — | 2023 | → |
| Polygenic risk for mental disorders as predictors of posttraumatic stress disorder after mild traumatic brain injury. | Stein MB et al. | — | 2023 | → |
| Polygenic risk score for problematic alcohol use predicts heavy drinking and alcohol use disorder symptoms in young adulthood after accounting for adolescent alcohol use and parental alcohol use disorder. | Wang FL et al. | — | 2023 | → |
| Polygenic risk scores for disease risk prediction in Africa: current challenges and future directions. | Fatumo S et al. | — | 2023 | → |
| Polygenic risk scores in pharmacogenomics: opportunities and challenges-a mini review. | Simona A et al. | — | 2023 | → |
| Polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort. | Duncan L et al. | — | 2023 | → |
| Polygenic scores in cancer. | Yang X et al. | — | 2023 | → |
| Polygenic Scores in the Direct-to-Consumer Setting: Challenges and Opportunities for a New Era in Consumer Genetic Testing. | Park JK et al. | — | 2023 | → |
| Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology. | Tiego J et al. | — | 2023 | → |
| Proteome and genome integration analysis of obesity. | Zhao Q et al. | — | 2023 | → |
| Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer's disease. | Modeste ES et al. | — | 2023 | → |
| Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations. | Liu D et al. | — | 2023 | → |
| Shared genetic influences between depression and conduct disorder in children and adolescents: A systematic review. | Caserini C et al. | — | 2023 | → |
| Shared genetic influences on depression and menopause symptoms. | Meijsen JJ et al. | — | 2023 | → |
| Strategies for the Genomic Analysis of Admixed Populations. | Tan T et al. | — | 2023 | → |
| Study protocol of DIVERGE, the first genetic epidemiological study of major depressive disorder in Pakistan. | Valkovskaya M 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 genetic basis of major depressive disorder. | Flint J | — | 2023 | → |
| The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. | Jia G et al. | — | 2023 | → |
| The molecular genetic landscape of human brain size variation. | Seidlitz J et al. | — | 2023 | → |
| The phenotype-genotype reference map: Improving biobank data science through replication. | Bastarache L et al. | — | 2023 | → |
| The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank. | Johnson R et al. | — | 2023 | → |
| Thoughtful Phenotype Definitions Empower Participants and Power Studies. | Huckins LM | — | 2023 | → |
| Trans-ancestry polygenic models for the prediction of LDL blood levels: an analysis of the United Kingdom Biobank and Taiwan Biobank. | Hassanin E et al. | — | 2023 | → |
| Usefulness of PNPLA3 variant for predicting hepatic events in steatotic liver disease: a matter of ethnicity or baseline risk? | Vespasiani-Gentilucci U et al. | — | 2023 | → |
| Validation of Genome-Wide Association Studies (GWAS)-Identified Type 2 Diabetes Mellitus Risk Variants in Pakistani Pashtun Population. | Jan A et al. | — | 2023 | → |
| Whole-Genome Sequencing Analysis of Human Metabolome in Multi-Ethnic Populations. | Feofanova EV et al. | — | 2023 | → |
| ACLY and CKD: A Mendelian Randomization Analysis. | Mohammadi-Shemirani P et al. | — | 2022 | → |
| Additive genetic effects in interacting species jointly determine the outcome of caterpillar herbivory. | Gompert Z et al. | — | 2022 | → |
| Adolescent Verbal Memory as a Psychosis Endophenotype: A Genome-Wide Association Study in an Ancestrally Diverse Sample. | Wang B et al. | — | 2022 | → |
| A framework for research into continental ancestry groups of the UK Biobank. | Constantinescu AE et al. | — | 2022 | → |
| Alcohol use and alcohol use disorder differ in their genetic relationships with PTSD: A genomic structural equation modelling approach. | Bountress KE et al. | — | 2022 | → |
| Alcohol Use and Use Disorder and Cancer Risk: Perspective on Causal Inference. | Zhou H et al. | — | 2022 | → |
| Alcohol use disorder, psychiatric comorbidities, marriage and divorce in a high-risk sample. | Thomas NS et al. | — | 2022 | → |
| A Method for Bridging Population-Specific Genotypes to Detect Gene Modules Associated with Alzheimer's Disease. | Dai Y et al. | — | 2022 | → |
| A multi-population phenome-wide association study of genetically-predicted height in the Million Veteran Program. | Raghavan S et al. | — | 2022 | → |
| A Prism Vote method for individualized risk prediction of traits in genotype data of Multi-population. | Xia X et al. | — | 2022 | → |
| Assessing the contribution of rare genetic variants to phenotypes of chronic obstructive pulmonary disease using whole-genome sequence data. | Kim W et al. | — | 2022 | → |
| Asymptotic tests for Hardy-Weinberg equilibrium in hexaploids. | Wang J et al. | — | 2022 | → |
| A Systematic Review and Analysis of the Use of Polygenic Scores in Pharmacogenomics. | Johnson D et al. | — | 2022 | → |
| Challenging the utility of polygenic scores for social science: Environmental confounding, downward causation, and unknown biology. | Burt CH | — | 2022 | → |
| Concerns about the use of polygenic embryo screening for psychiatric and cognitive traits. | Lencz T et al. | — | 2022 | → |
| Cross-ancestry genomic research: time to close the gap. | Atkinson EG et al. | — | 2022 | → |
| Diverse ancestry whole-genome sequencing association study identifies <i>TBX5</i> and <i>PTK7</i> as susceptibility genes for posterior urethral valves. | Chan MMY et al. | — | 2022 | → |
| Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries. | Smith SP et al. | — | 2022 | → |
| Exome/Genome-Wide Testing in Newborn Screening: A Proportionate Path Forward. | Rahimzadeh V et al. | — | 2022 | → |
| Facial Emotion Recognition in Psychosis and Associations With Polygenic Risk for Schizophrenia: Findings From the Multi-Center EU-GEI Case-Control Study. | Tripoli G et al. | — | 2022 | → |
| Genetic interactions drive heterogeneity in causal variant effect sizes for gene expression and complex traits. | Patel RA et al. | — | 2022 | → |
| Genetic risk, parental history, and suicide attempts in a diverse sample of US adolescents. | Barzilay R et al. | — | 2022 | → |
| Genetics of Chronic Kidney Disease in Low-Resource Settings. | Ilori T et al. | — | 2022 | → |
| Genetic variation influencing DNA methylation provides insights into molecular mechanisms regulating genomic function. | Hawe JS et al. | — | 2022 | → |
| Genome-wide meta-analysis of alcohol use disorder in East Asians. | Zhou H et al. | — | 2022 | → |
| Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits. | Nam K et al. | — | 2022 | → |
| Genomic and neuroimaging approaches to bipolar disorder. | Oraki Kohshour M et al. | — | 2022 | → |
| Genotype-environment correlation by intervention effects underlying middle childhood peer rejection and associations with adolescent marijuana use. | Elam KK et al. | — | 2022 | → |
| How does genetic variation modify ND-CNV phenotypes? | Dinneen TJ et al. | — | 2022 | → |
| How genetic analysis may contribute to the understanding of avoidant/restrictive food intake disorder (ARFID). | Kennedy HL et al. | — | 2022 | → |
| Human genetic admixture through the lens of population genomics. | Gopalan S et al. | — | 2022 | → |
| Improving polygenic prediction in ancestrally diverse populations. | Ruan Y et al. | — | 2022 | → |
| Including diverse and admixed populations in genetic epidemiology research. | Caliebe A et al. | — | 2022 | → |
| Increasing diversity in genomics requires investment in equitable partnerships and capacity building. | Martin AR et al. | — | 2022 | → |
| Indirect paths from genetics to education. | Schork AJ et al. | — | 2022 | → |
| Integrative omics of schizophrenia: from genetic determinants to clinical classification and risk prediction. | Guan F et al. | — | 2022 | → |
| Intersectionality and genetic ancestry: New methods to solve old problems. | Vera CD et al. | — | 2022 | → |
| Lack of Representation in Psychiatric Research: A Data-Driven Example From Scientific Articles Published in 2019 and 2020 in the <i>American Journal of Psychiatry</i>. | Pedersen SL et al. | — | 2022 | → |
| Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores. | Weissbrod O et al. | — | 2022 | → |
| Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative. | Johnson R et al. | — | 2022 | → |
| LmTag: functional-enrichment and imputation-aware tag SNP selection for population-specific genotyping arrays. | Thanh Nguyen D et al. | — | 2022 | → |
| METRO: Multi-ancestry transcriptome-wide association studies for powerful gene-trait association detection. | Li Z et al. | — | 2022 | → |
| Motivation and Cognitive Abilities as Mediators Between Polygenic Scores and Psychopathology in Children. | Pat N et al. | — | 2022 | → |
| Multiethnic polygenic risk prediction in diverse populations through transfer learning. | Tian P et al. | — | 2022 | → |
| Open problems in human trait genetics. | Brandes N et al. | — | 2022 | → |
| Ovarian Cancer Symptom Clusters: Use of the NIH Symptom Science Model for Precision in Symptom Recognition and Management. | Mahoney DE et al. | — | 2022 | → |
| Physiological Genomics Plays a Crucial Role in Response to Stressful Life Events, the Development of Aggressive Behaviours, and Post-Traumatic Stress Disorder (PTSD). | Magwai T et al. | — | 2022 | → |
| Polygenic risk prediction based on singular value decomposition with applications to alcohol use disorder. | Yang JJ et al. | — | 2022 | → |
| Polygenic score for cigarette smoking is associated with ever electronic-cigarette use in a college-aged sample. | Cooke ME et al. | — | 2022 | → |
| Polygenic Scores in Psychiatry: On the Road From Discovery to Implementation. | Lewis CM et al. | — | 2022 | → |
| Polygenic scores: prediction versus explanation. | Plomin R et al. | — | 2022 | → |
| Precision Medicine Needs to Think Outside the Box. | Martschenko DO et al. | — | 2022 | → |
| Precision medicine research with American Indian and Alaska Native communities: Results of a deliberative engagement with tribal leaders. | Trinidad SB et al. | — | 2022 | → |
| Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated. | Elhaik E | — | 2022 | → |
| Protein prediction for trait mapping in diverse populations. | Schubert R et al. | — | 2022 | → |
| Public human microbiome data are dominated by highly developed countries. | Abdill RJ et al. | — | 2022 | → |
| Racialising genetic risk: assumptions, realities, and recommendations. | Cerdeña JP et al. | — | 2022 | → |
| Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program. | Khan AT et al. | — | 2022 | → |
| Recommendations to encourage participation of individuals from diverse backgrounds in psychiatric genetic studies. | MacDermod C et al. | — | 2022 | → |
| Social Determinants of Health Factors for Gene-Environment COVID-19 Research: Challenges and Opportunities. | Phuong J et al. | — | 2022 | → |
| Stability of polygenic scores across discovery genome-wide association studies. | Schultz LM et al. | — | 2022 | → |
| Systems genomics in age-related macular degeneration. | den Hollander AI et al. | — | 2022 | → |
| Taiwan Biobank: A rich biomedical research database of the Taiwanese population. | Feng YA et al. | — | 2022 | → |
| Temporal and genomic analysis of additive genetic variance in breeding programmes. | Lara LAC et al. | — | 2022 | → |
| Ten challenges for clinical translation in psychiatric genetics. | Derks EM et al. | — | 2022 | → |
| The current state of genetic risk models for the development of kidney cancer: a review and validation. | Harrison H et al. | — | 2022 | → |
| The estimation of environmental and genetic parental influences. | Balbona JV et al. | — | 2022 | → |
| The Need for Inclusive Genomic Research. | Krishnan N et al. | — | 2022 | → |
| The next 10 years of behavioural genomic research. | Plomin R | — | 2022 | → |
| The Promise and Peril of Genetics. | Dick DM | — | 2022 | → |
| The role of parental genotype in the intergenerational transmission of externalizing behavior: Evidence for genetic nurturance. | Kuo SI et al. | — | 2022 | → |
| The Role of Polygenic Susceptibility on Air Pollution-Associated Asthma between German and Japanese Elderly Women. | Kress S et al. | — | 2022 | → |
| Towards a global view of multiple sclerosis genetics. | Jacobs BM et al. | — | 2022 | → |
| Translational relevance of forward genetic screens in animal models for the study of psychiatric disease. | Sheardown E et al. | — | 2022 | → |
| Understanding Anhedonia from a Genomic Perspective. | Bondy E et al. | — | 2022 | → |
| Understanding the genetics of peripartum depression: Research challenges, strategies, and opportunities. | Lancaster EE et al. | — | 2022 | → |
| Use of Race in Kidney Research and Medicine: Concepts, Principles, and Practice. | Mohottige D et al. | — | 2022 | → |
| Using DNA to predict behaviour problems from preschool to adulthood. | Gidziela A et al. | — | 2022 | → |
| Using Polygenic Hazard Scores to Predict Age at Onset of Alzheimer's Disease in Nordic Populations. | Motazedi E et al. | — | 2022 | → |
| What next for eating disorder genetics? Replacing myths with facts to sharpen our understanding. | Huckins LM et al. | — | 2022 | → |
| Whole-exome sequencing study identifies rare variants and genes associated with intraocular pressure and glaucoma. | Gao XR et al. | — | 2022 | → |
| A Comparison of Ten Polygenic Score Methods for Psychiatric Disorders Applied Across Multiple Cohorts. | Ni G et al. | — | 2021 | → |
| A compendium of uniformly processed human gene expression and splicing quantitative trait loci. | Kerimov N et al. | — | 2021 | → |
| A Genetic Map of the Modern Urban Society of Amsterdam. | Ferwerda B et al. | — | 2021 | → |
| A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior. | Meyers JL et al. | — | 2021 | → |
| Age varying polygenic effects on alcohol use in African Americans and European Americans from adolescence to adulthood. | Elam KK et al. | — | 2021 | → |
| Ancestral diversity is limited in published T cell receptor sequencing studies. | Huang YN et al. | — | 2021 | → |
| Applying an equity lens to pharmacogenetic research and translation to under-represented populations. | Luczak T et al. | — | 2021 | → |
| A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits. | Cai M et al. | — | 2021 | → |
| Barriers to clinical adoption of pharmacogenomic testing in psychiatry: a critical analysis. | Virelli CR et al. | — | 2021 | → |
| Cannabis use in college: Genetic predispositions, peers, and activity participation. | Thomas NS et al. | — | 2021 | → |
| Companion Diagnostics: State of the Art and New Regulations. | Valla V et al. | — | 2021 | → |
| Consent for Use of Genetic Data among US Hispanics/Latinos: Results from the Hispanic Community Health Study/ Study of Latinos. | Gonzalez S et al. | — | 2021 | → |
| Cooperative Studies Program (CSP) #572: A Study of Serious Mental Illness in Veterans as a Pathway to personalized medicine in Schizophrenia and Bipolar Illness. | Harvey PD et al. | — | 2021 | → |
| Epicardial Adipose Tissue: The Genetics Behind an Emerging Cardiovascular Risk Marker. | Sousa JA et al. | — | 2021 | → |
| Europe's Roma people are vulnerable to poor practice in genetics. | Lipphardt V et al. | — | 2021 | → |
| From base pair to brain. | Matoba N et al. | — | 2021 | → |
| From Basic Science to Clinical Application of Polygenic Risk Scores: A Primer. | Wray NR et al. | — | 2021 | → |
| Genetic association studies of alterations in protein function expose recessive effects on cancer predisposition. | Brandes N et al. | — | 2021 | → |
| Genetic contributions to bipolar disorder: current status and future directions. | O'Connell KS et al. | — | 2021 | → |
| Genetic Moderation of the Association Between Early Family Instability and Trajectories of Aggressive Behaviors from Middle Childhood to Adolescence. | Womack SR et al. | — | 2021 | → |
| Genetics of obsessive-compulsive disorder. | Mahjani B et al. | — | 2021 | → |
| Genetic variants predictive of chemotherapy-induced peripheral neuropathy symptoms in gynecologic cancer survivors. | Thomaier L et al. | — | 2021 | → |
| Genome-wide admixture mapping of DSM-IV alcohol dependence, criterion count, and the self-rating of the effects of ethanol in African American populations. | Lai D et al. | — | 2021 | → |
| Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program. | Stein MB et al. | — | 2021 | → |
| Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans. | Bigdeli TB et al. | — | 2021 | → |
| Genome-wide association study accounting for anticholinergic burden to examine cognitive dysfunction in psychotic disorders. | Eum S et al. | — | 2021 | → |
| Genomic and Personalized Medicine Approaches for Substance Use Disorders (SUDs) Looking at Genome-Wide Association Studies. | Cozzoli D et al. | — | 2021 | → |
| Identifying causal variants by fine mapping across multiple studies. | LaPierre N et al. | — | 2021 | → |
| Improving the completeness of public metadata accompanying omics studies. | Rajesh A et al. | — | 2021 | → |
| Insights into attention-deficit/hyperactivity disorder from recent genetic studies. | Brikell I et al. | — | 2021 | → |
| Integration of evidence across human and model organism studies: A meeting report. | Palmer RHC et al. | — | 2021 | → |
| Investigating the Genetic Profile of the Amyotrophic Lateral Sclerosis/Frontotemporal Dementia (ALS-FTD) Continuum in Patients of Diverse Race, Ethnicity and Ancestry. | Mesaros M et al. | — | 2021 | → |
| In-vivo design feedback and perceived utility of a genetically-informed smoking risk tool among current smokers in the community. | Bourdon JL et al. | — | 2021 | → |
| Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity. | Smit DJA et al. | — | 2021 | → |
| Mapping Pathways by Which Genetic Risk Influences Adolescent Externalizing Behavior: The Interplay Between Externalizing Polygenic Risk Scores, Parental Knowledge, and Peer Substance Use. | Kuo SI et al. | — | 2021 | → |
| Mid-pass whole genome sequencing enables biomedical genetic studies of diverse populations. | Emde AK et al. | — | 2021 | → |
| Missing <i>lnc</i>(RNAs) in Alzheimer's Disease? | Policarpo R et al. | — | 2021 | → |
| Motivating and Discouraging Factors for Bipolar Patient Participation in Genomic Research. | Vallender EJ et al. | — | 2021 | → |
| Omics in a Digital World: The Role of Bioinformatics in Providing New Insights Into Human Aging. | Dato S et al. | — | 2021 | → |
| Penalized linear mixed models for structured genetic data. | Reisetter AC et al. | — | 2021 | → |
| Perspective on Beyond Statistical Significance: Finding Meaningful Effects. | Edenberg HJ | — | 2021 | → |
| Polygenic risk for major depression is associated with lifetime suicide attempt in US soldiers independent of personal and parental history of major depression. | Stein MB et al. | — | 2021 | → |
| Polygenic risk scores: the future of cancer risk prediction, screening, and precision prevention. | Wang Y et al. | — | 2021 | → |
| Post-partum psychosis and its association with bipolar disorder in the UK: a case-control study using polygenic risk scores. | Di Florio A et al. | — | 2021 | → |
| Reconstructing Sociogenomics Research: Dismantling Biological Race and Genetic Essentialism Narratives. | Herd P et al. | — | 2021 | → |
| Sequencing-based genome-wide association studies reporting standards. | McMahon A et al. | — | 2021 | → |
| Systematic Review: How the Attention-Deficit/Hyperactivity Disorder Polygenic Risk Score Adds to Our Understanding of ADHD and Associated Traits. | Ronald A et al. | — | 2021 | → |
| Targeting synaptic plasticity in schizophrenia: insights from genomic studies. | Mould AW et al. | — | 2021 | → |
| The clinical utility of exome and genome sequencing across clinical indications: a systematic review. | Shickh S et al. | — | 2021 | → |
| The Contribution of Genetics and Epigenetics to Our Understanding of Health Disparities in Rheumatic Diseases. | Lanata CM et al. | — | 2021 | → |
| The epidemiology of psychiatric disorders in Africa: a scoping review. | Greene MC et al. | — | 2021 | → |
| The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study. | Giannakopoulou O et al. | — | 2021 | → |
| The Genetics of Major Depression: Perspectives on the State of Research and Opportunities for Precision Medicine. | Peterson RE | — | 2021 | → |
| The intermediary role of adolescent temperamental and behavioral traits on the prospective associations between polygenic risk and cannabis use among young adults of European Ancestry. | Brick LA et al. | — | 2021 | → |
| The intersection of genetics and COVID-19 in 2021: preview of the 2021 Rodney Howell Symposium. | Rasmussen SA et al. | — | 2021 | → |
| The legacy of the Human Genome Project. | Rood JE et al. | — | 2021 | → |
| The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals. | Strawbridge RJ et al. | — | 2021 | → |
| The practical utility of genetic screening in school settings. | Shero J et al. | — | 2021 | → |
| The state of the science in psychiatric genomics. | Sullivan PF et al. | — | 2021 | → |
| Tracing Lung Cancer Risk Factors Through Mutational Signatures in Never-Smokers. | Landi MT et al. | — | 2021 | → |
| Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power. | Atkinson EG et al. | — | 2021 | → |
| What Have We Learned About the Genetics of Obsessive-Compulsive and Related Disorders in Recent Years? | Mattheisen M et al. | — | 2021 | → |
| Whole-genome sequencing of African Americans implicates differential genetic architecture in inflammatory bowel disease. | Somineni HK et al. | — | 2021 | → |
| Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences. | Spracklen CN et al. | — | 2020 | → |
| A large-scale genome-wide association study meta-analysis of cannabis use disorder. | Johnson EC et al. | — | 2020 | → |
| A multi-ethnic meta-analysis identifies novel genes, including ACSL5, associated with amyotrophic lateral sclerosis. | Nakamura R et al. | — | 2020 | → |
| Ancestry-specific associations identified in genome-wide combined-phenotype study of red blood cell traits emphasize benefits of diversity in genomics. | Hodonsky CJ et al. | — | 2020 | → |
| An update on the role of common genetic variation underlying substance use disorders. | Johnson EC et al. | — | 2020 | → |
| A variant-centric perspective on geographic patterns of human allele frequency variation. | Biddanda A et al. | — | 2020 | → |
| Big Data Begin in Psychiatry. | Weissman MM | — | 2020 | → |
| Common genetic risk variants identified in the SPARK cohort support DDHD2 as a candidate risk gene for autism. | Matoba N et al. | — | 2020 | → |
| CUBAP: an interactive web portal for analyzing codon usage biases across populations. | Hodgman MW et al. | — | 2020 | → |
| Don't ignore genetic data from minority populations. | Ben-Eghan C et al. | — | 2020 | → |
| Eating disorders genetics in Asia. | Bulik CM | — | 2020 | → |
| Evaluation of the Host Genetic Effects of Tuberculosis-Associated Variants Among Patients With Type 1 and Type 2 Diabetes Mellitus. | Zhong H et al. | — | 2020 | → |
| Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review. | Bourdon JL et al. | — | 2020 | → |
| Genetic Architecture and Molecular Neuropathology of Human Cocaine Addiction. | Huggett SB et al. | — | 2020 | → |
| Genetic susceptibility to nicotine addiction: Advances and shortcomings in our understanding of the CHRNA5/A3/B4 gene cluster contribution. | Icick R et al. | — | 2020 | → |
| Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective. | Wendt FR et al. | — | 2020 | → |
| Implicit bias of encoded variables: frameworks for addressing structured bias in EHR-GWAS data. | Dueñas HR et al. | — | 2020 | → |
| Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements. | Amariuta T et al. | — | 2020 | → |
| Missing heritability in Parkinson's disease: the emerging role of non-coding genetic variation. | Ohnmacht J et al. | — | 2020 | → |
| Polygenic risk scores: from research tools to clinical instruments. | Lewis CM et al. | — | 2020 | → |
| Polygenic Scores in Developmental Psychology: Invite Genetics In, Leave Biodeterminism Behind. | Raffington L et al. | — | 2020 | → |
| Population-Matched Transcriptome Prediction Increases TWAS Discovery and Replication Rate. | Geoffroy E et al. | — | 2020 | → |
| TwinsMX: Uncovering the Basis of Health and Disease in the Mexican Population. | Leon-Apodaca AV et al. | — | 2019 | → |