Human Demographic History Impacts Genetic Risk Prediction across Diverse Populations.
paper
Cited
Public
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- Authors
- Martin, Alicia R; Gignoux, Christopher R; Walters, Raymond K; Wojcik, Genevieve L; Neale, Benjamin M; Gravel, Simon; Daly, Mark J; Bustamante, Carlos D; Kenny, Eimear E
- Year
- 2017
- Journal
- American journal of human genetics
- PMID
- 28366442
- DOI
- 10.1016/j.ajhg.2017.03.004
- PMCID
- PMC5384097
The vast majority of genome-wide association studies (GWASs) are performed in Europeans, and their transferability to other populations is dependent on many factors (e.g., linkage disequilibrium, allele frequencies, genetic architecture). As medical genomics studies become increasingly large and diverse, gaining insights into population history and consequently the transferability of disease risk measurement is critical. Here, we disentangle recent population history in the widely used 1000 Genomes Project reference panel, with an emphasis on populations underrepresented in medical studies. To examine the transferability of single-ancestry GWASs, we used published summary statistics to calculate polygenic risk scores for eight well-studied phenotypes. We identify directional inconsistencies in all scores; for example, height is predicted to decrease with genetic distance from Europeans, despite robust anthropological evidence that West Africans are as tall as Europeans on average. To gain deeper quantitative insights into GWAS transferability, we developed a complex trait coalescent-based simulation framework considering effects of polygenicity, causal allele frequency divergence, and heritability. As expected, correlations between true and inferred risk are typically highest in the population from which summary statistics were derived. We demonstrate that scores inferred from European GWASs are biased by genetic drift in other populations even when choosing the same causal variants and that biases in any direction are possible and unpredictable. This work cautions that summarizing findings from large-scale GWASs may have limited portability to other populations using standard approaches and highlights the need for generalized risk prediction methods and the inclusion of more diverse individuals in medical genomics.
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| Polygenic Risk Score Associates With Atherosclerotic Plaque Characteristics at Autopsy. | Cornelissen A et al. | — | 2024 | → |
| Polygenic risk score portability for common diseases across genetically diverse populations. | Moreno-Grau S et al. | — | 2024 | → |
| Predicting political beliefs with polygenic scores for cognitive performance and educational attainment. | Edwards T et al. | — | 2024 | → |
| Principles and methods for transferring polygenic risk scores across global populations. | Kachuri L et al. | — | 2024 | → |
| Recent advances in polygenic scores: translation, equitability, methods and FAIR tools. | Xiang R et al. | — | 2024 | → |
| Relationship between mood disorders and substance involvement and the shared genetic liabilities: A population-based study in Taiwan. | Lai RY et al. | — | 2024 | → |
| Schoolhouse risk: Can we mitigate the polygenic Pygmalion effect? | Matthews LJ et al. | — | 2024 | → |
| Screening embryos for polygenic disease risk: a review of epidemiological, clinical, and ethical considerations. | Capalbo A et al. | — | 2024 | → |
| Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations. | Lennon NJ et al. | — | 2024 | → |
| Shared Genetic Architectures between Coronary Artery Disease and Type 2 Diabetes Mellitus in East Asian and European Populations. | Li X et al. | — | 2024 | → |
| Simplified detection of genetic background admixture using artificial intelligence. | Pauly R et al. | — | 2024 | → |
| Social and Behavioral Genomics: What Does It Mean for Pediatrics? | Martschenko DO et al. | — | 2024 | → |
| Star allele search: a pharmacogenetic annotation database and user-friendly search tool of publicly available 1000 Genomes Project biospecimens. | Gharani N et al. | — | 2024 | → |
| The Add Health Parent Study: A Biosocial Resource for the Study of Multigenerational Racial/Ethnic Disparities in Alzheimer's Disease and Alzheimer's Disease-Related Dementias. | Perreira KM et al. | — | 2024 | → |
| The Black and African American Connections to Parkinson's Disease (BLAAC PD) study protocol. | Chahine LM et al. | — | 2024 | → |
| The Chilean COVID-19 Genomics Network Biorepository: A Resource for Multi-Omics Studies of COVID-19 and Long COVID in a Latin American Population. | Signore IA et al. | — | 2024 | → |
| The Geneticization of Education and Its Bioethical Implications. | Matthews LJ | — | 2024 | → |
| The importance of family-based sampling for biobanks. | Davies NM et al. | — | 2024 | → |
| The Inclusion of Underrepresented Populations in Cardiovascular Genetics and Epidemiology. | Chappell E et al. | — | 2024 | → |
| The Legal Uncertainties of Sociogenomic Polygenic Scores. | Callier S et al. | — | 2024 | → |
| The PRIMED Consortium: Reducing disparities in polygenic risk assessment. | Kullo IJ et al. | — | 2024 | → |
| The reciprocal associations between social deficits, social engagement, and inflammation: Longitudinal evidence comparing venous blood samples and dried blood spots and mapping the modifying role of phenotypic and genotypic depression. | Gao Q et al. | — | 2024 | → |
| The selection landscape and genetic legacy of ancient Eurasians. | Irving-Pease EK et al. | — | 2024 | → |
| Towards a Global View of Parkinson's Disease Genetics. | Khani M et al. | — | 2024 | → |
| Transcriptome-wide association studies associated with Crohn's disease: challenges and perspectives. | Jia K et al. | — | 2024 | → |
| tstrait: a quantitative trait simulator for ancestral recombination graphs. | Tagami D et al. | — | 2024 | → |
| Unlocking Clinical Precision Through Polygenic Risk Prediction. | Sathian B et al. | — | 2024 | → |
| Unveiling recent and ongoing adaptive selection in human populations. | Gao Z | — | 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 | → |
| Accuracy of haplotype estimation and whole genome imputation affects complex trait analyses in complex biobanks. | Appadurai V et al. | — | 2023 | → |
| Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective. | Gao Y et al. | — | 2023 | → |
| ADHD genetic burden associates with older epigenetic age: mediating roles of education, behavioral and sociodemographic factors among older adults. | Arpawong TE et al. | — | 2023 | → |
| Advances and Applications of Polygenic Scores for Coronary Artery Disease. | Patel AP et al. | — | 2023 | → |
| A gene-environment cascade theoretical framework of developmental psychopathology. | Elam KK et al. | — | 2023 | → |
| A genetic and linguistic analysis of the admixture histories of the islands of Cabo Verde. | Laurent R et al. | — | 2023 | → |
| A longitudinal study of polygenic score and cognitive function decline considering baseline cognitive function, lifestyle behaviors, and diabetes among middle-aged and older US adults. | Liu T et al. | — | 2023 | → |
| Alzheimer's Disease Polygenic Scores Predict Changes in Episodic Memory and Executive Function Across 12 Years in Late Middle Age. | Gustavson DE et al. | — | 2023 | → |
| A Mendelian Randomization Analysis of 55 Genetically Predicted Metabolic Traits with Breast Cancer Survival Outcomes in the Pathways Study. | Fiorica PN et al. | — | 2023 | → |
| A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data. | Momin MM et al. | — | 2023 | → |
| A new method for multiancestry polygenic prediction improves performance across diverse populations. | Zhang H et al. | — | 2023 | → |
| Applying polygenic risk score methods to pharmacogenomics GWAS: challenges and opportunities. | Zhai S et al. | — | 2023 | → |
| A review of ancestrality and admixture in Latin America and the caribbean focusing on native American and African descendant populations. | De Oliveira TC et al. | — | 2023 | → |
| Association of Joint Genetic and Social Environmental Risks With Incident Myocardial Infarction: Results From the Health and Retirement Study. | Tang J et al. | — | 2023 | → |
| Association of parental divorce, discord, and polygenic risk with children's alcohol initiation and lifetime risk for alcohol use disorder. | Kuo SI et al. | — | 2023 | → |
| Associations Between Cannabis Use, Polygenic Liability for Schizophrenia, and Cannabis-related Experiences in a Sample of Cannabis Users. | Johnson EC et al. | — | 2023 | → |
| Associations of polygenic risk scores for smoking heaviness and lifetime cannabis use with tobacco and cannabis co-use trajectories among African Americans. | Rabinowitz JA et al. | — | 2023 | → |
| Biobank-scale methods and projections for sparse polygenic prediction from machine learning. | Raben TG et al. | — | 2023 | → |
| Bridging the diversity gap: Analytical and study design considerations for improving the accuracy of trans-ancestry genetic prediction. | Bocher O et al. | — | 2023 | → |
| Can polygenic risk scores help explain disease prevalence differences around the world? A worldwide investigation. | Jain PR et al. | — | 2023 | → |
| Cellular Genome-wide Association Study Identifies Common Genetic Variation Influencing Lithium-Induced Neural Progenitor Proliferation. | Wolter JM et al. | — | 2023 | → |
| Consent Codes: Maintaining Consent in an Ever-expanding Open Science Ecosystem. | Dyke SOM et al. | — | 2023 | → |
| Current State and Future of Polygenic Risk Scores in Cardiometabolic Disease: A Scoping Review. | Phulka JS et al. | — | 2023 | → |
| Demographic modeling of admixed Latin American populations from whole genomes. | Medina-Muñoz SG et al. | — | 2023 | → |
| Depression Trajectories, Genetic Risk, and Cognitive Performance in Older Adults: Multilevel Model with a 10-Year Longitudinal Cohort. | Liu Z et al. | — | 2023 | → |
| Development of risk prediction models for depression combining genetic and early life risk factors. | Lu T et al. | — | 2023 | → |
| DNA methylation at quantitative trait loci (mQTLs) varies with cell type and nonheritable factors and may improve breast cancer risk assessment. | Herzog C et al. | — | 2023 | → |
| Education and electronic medical records and genomics network, challenges, and lessons learned from a large-scale clinical trial using polygenic risk scores. | Connolly JJ et al. | — | 2023 | → |
| Epigenetic aging differences between Wichí and Criollos from Argentina: Insights from genomic history and ecology. | Iannuzzi V et al. | — | 2023 | → |
| Evaluating genomic polygenic risk scores for childhood acute lymphoblastic leukemia in Latinos. | Jeon S et al. | — | 2023 | → |
| Evaluating significance of European-associated index SNPs in the East Asian population for 31 complex phenotypes. | Qiao J et al. | — | 2023 | → |
| Exploring the genetics of rhythmic perception and musical engagement in the Vanderbilt Online Musicality Study. | Gustavson DE et al. | — | 2023 | → |
| FairPRS: adjusting for admixed populations in polygenic risk scores using invariant risk minimization. | Machado Reyes D et al. | — | 2023 | → |
| Fast and accurate joint inference of coancestry parameters for populations and/or individuals. | Mary-Huard T et al. | — | 2023 | → |
| FGFR2 genetic variants in women with breast cancer. | Dix-Peek T et al. | — | 2023 | → |
| Gender differences in the association between parity and cognitive function: Evidence from the UK biobank. | Zhang Y et al. | — | 2023 | → |
| Gender differences in the association of polygenic risk and divergent depression trajectories from mid to late life: a national longitudinal study. | Chen P et al. | — | 2023 | → |
| Gene expression in African Americans, Puerto Ricans and Mexican Americans reveals ancestry-specific patterns of genetic architecture. | Kachuri L et al. | — | 2023 | → |
| Genetic and Nongenetic Components of Stroke Family History: A Population Study of Adopted and Nonadopted Individuals. | Mayerhofer E et al. | — | 2023 | → |
| Genetic determinants and absence of breast cancer in Xavante Indians in Sangradouro Reserve, Brazil. | Zhou Y et al. | — | 2023 | → |
| Genetic heterogeneity in cardiovascular disease across ancestries: Insights for mechanisms and therapeutic intervention. | Soremekun O et al. | — | 2023 | → |
| Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders. | Alex AM et al. | — | 2023 | → |
| Genetic risk prediction in Hispanics/Latinos: milestones, challenges, and social-ethical considerations. | Maldonado BL et al. | — | 2023 | → |
| Genetics of Alzheimer's Disease in the African American Population. | Logue MW et al. | — | 2023 | → |
| Genotyping, sequencing and analysis of 140,000 adults from Mexico City. | Ziyatdinov A et al. | — | 2023 | → |
| Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts. | Wang Y et al. | — | 2023 | → |
| GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors. | Docherty AR et al. | — | 2023 | → |
| Haptools: a toolkit for admixture and haplotype analysis. | Massarat AR et al. | — | 2023 | → |
| Health inequity in genomic personalized medicine in underrepresented populations: a look at the current evidence. | Tawfik SM et al. | — | 2023 | → |
| Heterogenous trajectories in physical, mental and cognitive health among older Americans: Roles of genetics and life course contextual factors. | Hoang CT et al. | — | 2023 | → |
| Identification of novel genomic risk loci shared between common epilepsies and psychiatric disorders. | Karadag N et al. | — | 2023 | → |
| Identifying Rare Genetic Determinants for Improved Polygenic Risk Prediction of Bone Mineral Density and Fracture Risk. | Lu T et al. | — | 2023 | → |
| Identifying signatures of positive selection in human populations from North Africa. | Caro-Consuegra R et al. | — | 2023 | → |
| Impact of cross-ancestry genetic architecture on GWASs in admixed populations. | Mester R et al. | — | 2023 | → |
| Impact of structural racism on inclusion and diversity in precision oncology: A scoping and critical review of the literature. | Geneviève LD et al. | — | 2023 | → |
| Implementing Reporting Standards for Polygenic Risk Scores for Atherosclerotic Cardiovascular Disease. | Smith JL et al. | — | 2023 | → |
| Improved Genomic Prediction of Staphylococcus epidermidis Isolation Sources with a Novel Polygenic Score. | Hellmann KT et al. | — | 2023 | → |
| Improving genetic risk prediction across diverse population by disentangling ancestry representations. | Gyawali PK et al. | — | 2023 | → |
| Intelligence Polygenic Score Is More Predictive of Crystallized Measures: Evidence From the Adolescent Brain Cognitive Development (ABCD) Study. | Loughnan RJ et al. | — | 2023 | → |
| 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 | → |
| Local Ancestry-Informed Candidate Pathway Analysis of Warfarin Stable Dose in Latino Populations. | Steiner HE 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 | → |
| Multi-ancestry genome-wide analysis identifies shared genetic effects and common genetic variants for self-reported sleep duration. | Scammell BH et al. | — | 2023 | → |
| Multi-PGS enhances polygenic prediction by combining 937 polygenic scores. | Albiñana C et al. | — | 2023 | → |
| Native American genetic ancestry and pigmentation allele contributions to skin color in a Caribbean population. | Ang KC 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 | → |
| Opportunities and Challenges with Artificial Intelligence in Genomics. | Kurant DE | — | 2023 | → |
| Optimal strategies for learning multi-ancestry polygenic scores vary across traits. | Lehmann B et al. | — | 2023 | → |
| Overemphasizing individual differences and overlooking systemic factors reinforces educational inequality. | Zengilowski A et al. | — | 2023 | → |
| Pharmacogenetic Variation in Neanderthals and Denisovans and Implications for Human Health and Response to Medications. | Wroblewski TH 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 Effects on Individual Rule Breaking, Peer Rule Breaking, and Alcohol Sips Across Early Adolescence in the ABCD Study. | Elam KK et al. | — | 2023 | → |
| Polygenic risk scores and breast cancer risk prediction. | Roberts E et al. | — | 2023 | → |
| Polygenic risk scores for disease risk prediction in Africa: current challenges and future directions. | Fatumo S et al. | — | 2023 | → |
| Polygenic risk scores for prediction of breast cancer in Korean women. | Jee YH et al. | — | 2023 | → |
| Polygenic risk scores point toward potential genetic mechanisms of type 2 myocardial infarction in people with HIV. | Lee WJ et al. | — | 2023 | → |
| Polygenic scores for social science: Clarification, consensus, and controversy. | Burt CH | — | 2023 | → |
| Polygenic scores in cancer. | Yang X et al. | — | 2023 | → |
| Polygenic scoring accuracy varies across the genetic ancestry continuum. | Ding Y et al. | — | 2023 | → |
| Precision medicine for cardiometabolic disease: a framework for clinical translation. | Franks PW et al. | — | 2023 | → |
| Precision Medicine in Type 1 Diabetes. | Michalek DA et al. | — | 2023 | → |
| Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics. | Miao J et al. | — | 2023 | → |
| Re-examining the relationship between education and adult mental health in the UK: A research note. | Amin V et al. | — | 2023 | → |
| Research on Health Disparities: Strategies and Findings From the Black Women's Health Study. | Palmer JR et al. | — | 2023 | → |
| Revealing polygenic pleiotropy using genetic risk scores for asthma. | Dapas M et al. | — | 2023 | → |
| Scaling genetic resources: New paradigms for diagnosis and treatment of rare genetic disease. | Vockley J et al. | — | 2023 | → |
| Similarity and diversity of genetic architecture for complex traits between East Asian and European populations. | Zhang J et al. | — | 2023 | → |
| Statistical Methods for Disease Risk Prediction with Genotype Data. | Xia X et al. | — | 2023 | → |
| Strategies for the Genomic Analysis of Admixed Populations. | Tan T et al. | — | 2023 | → |
| Tackling the lack of diversity in cancer research. | Molina-Aguilar C 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 genetics of non-monogenic IBD. | Jans D et al. | — | 2023 | → |
| The genomic analysis of current-day North African populations reveals the existence of trans-Saharan migrations with different origins and dates. | Lucas-Sánchez M et al. | — | 2023 | → |
| The immunogenetics of tuberculosis (TB) susceptibility. | Ndong Sima CAA et al. | — | 2023 | → |
| The Impact of Modern Admixture on Archaic Human Ancestry in Human Populations. | Witt KE et al. | — | 2023 | → |
| The (in)visible Brazilians: A perspective review on the need for brain health and dementia research with Brazilian immigrants in the United States. | Simon SS et al. | — | 2023 | → |
| The phenotype-genotype reference map: Improving biobank data science through replication. | Bastarache L et al. | — | 2023 | → |
| The Singapore National Precision Medicine Strategy. | Wong E et al. | — | 2023 | → |
| Top Alzheimer's disease risk allele frequencies differ in HABS-HD Mexican- versus Non-Hispanic White Americans. | Housini M et al. | — | 2023 | → |
| Trumpet plots: visualizing the relationship between allele frequency and effect size in genetic association studies. | Corte L et al. | — | 2023 | → |
| Type 2 Diabetes Polygenic Score Predicts the Risk of Glucocorticoid-Induced Hyperglycemia in Patients Without Diabetes. | Deutsch AJ et al. | — | 2023 | → |
| Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort. | Su YR et al. | — | 2023 | → |
| Validation of a genome-wide polygenic score in improving fracture risk assessment beyond the FRAX tool in the Women's Health Initiative study. | Xiao X et al. | — | 2023 | → |
| Validation of newly derived polygenic risk scores for dementia in a prospective study of older individuals. | Yu C 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 | → |
| A data harmonization pipeline to leverage external controls and boost power in GWAS. | Chen D et al. | — | 2022 | → |
| Advances in integrative African genomics. | Zhang C et al. | — | 2022 | → |
| A Family and a Genome-Wide Polygenic Risk Score Are Independently Associated With Stroke in a Population-Based Study. | Hämmerle M et al. | — | 2022 | → |
| A Final Frontier in Environment-Genome Interactions? Integrated, Multi-Omic Approaches to Predictions of Non-Communicable Disease Risk. | Noble AJ et al. | — | 2022 | → |
| A genetic and linguistic analysis of the admixture histories of the islands of Cabo Verde | Laurent R et al. | — | 2022 | — |
| A multi-population phenome-wide association study of genetically-predicted height in the Million Veteran Program. | Raghavan S et al. | — | 2022 | → |
| Ancestry-Matched and Cross-Ancestry Genetic Risk Scores of Type 2 Diabetes in Pregnant Women and Fetal Growth: A Study in an Ancestrally Diverse Cohort. | Ouidir M et al. | — | 2022 | → |
| A neurodegenerative disease landscape of rare mutations in Colombia due to founder effects. | Acosta-Uribe J et al. | — | 2022 | → |
| A pharmacogenomic assessment of psychiatric adverse drug reactions to levetiracetam. | Campbell C et al. | — | 2022 | → |
| A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study. | Lu X et al. | — | 2022 | → |
| Apportioning archaic variants among modern populations. | Witt KE et al. | — | 2022 | → |
| Are polygenic risk scores ready for the cancer clinic?-a perspective. | Klein RJ et al. | — | 2022 | → |
| A roadmap to increase diversity in genomic studies. | Fatumo S et al. | — | 2022 | → |
| Assessing Human Genome-wide Variation in the Massim Region of Papua New Guinea and Implications for the Kula Trading Tradition. | Liu D et al. | — | 2022 | → |
| Assessing polygenic risk score models for applications in populations with under-represented genomics data: an example of Vietnam. | Pham D et al. | — | 2022 | → |
| Association between genetic and socioenvironmental risk for schizophrenia during upbringing in a UK longitudinal cohort. | Newbury JB et al. | — | 2022 | → |
| Association of FAAH p.Pro129Thr and COMT p.Ala72Ser with schizophrenia and comorbid substance use through next-generation sequencing: an exploratory analysis. | Martínez-Magaña JJ et al. | — | 2022 | → |
| Building causal knowledge in behavior genetics. | Madole JW et al. | — | 2022 | → |
| Canalization of the Polygenic Risk for Common Diseases and Traits in the UK Biobank Cohort. | Nagpal S et al. | — | 2022 | → |
| Can genomic research make a useful contribution to social policy? | Asbury K et al. | — | 2022 | → |
| Capacities and Limitations of Using Polygenic Risk Scores for Reproductive Decision Making. | Barlevy D et al. | — | 2022 | → |
| Capturing additional genetic risk from family history for improved polygenic risk prediction. | Lu T et al. | — | 2022 | → |
| Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores. | Wang Y et al. | — | 2022 | → |
| Challenging the utility of polygenic scores for social science: Environmental confounding, downward causation, and unknown biology. | Burt CH | — | 2022 | → |
| Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts. | Barr PB et al. | — | 2022 | → |
| Combining Climatic and Genomic Data Improves Range-Wide Tree Height Growth Prediction in a Forest Tree. | Archambeau J et al. | — | 2022 | → |
| Concerns about the use of polygenic embryo screening for psychiatric and cognitive traits. | Lencz T et al. | — | 2022 | → |
| Considering strategies for SNP selection in genetic and polygenic risk scores. | St-Pierre J et al. | — | 2022 | → |
| Corticolimbic DCC gene co-expression networks as predictors of impulsivity in children. | Restrepo-Lozano JM et al. | — | 2022 | → |
| Cross-ancestry genomic research: time to close the gap. | Atkinson EG et al. | — | 2022 | → |
| Demographic history differences between Hispanics and Brazilians imprint haplotype features. | da Cruz PRS et al. | — | 2022 | → |
| Developing CIRdb as a catalog of natural genetic variation in the Canary Islanders. | Díaz-de Usera A et al. | — | 2022 | → |
| Development and validation of a polygenic hazard score to predict prognosis and adjuvant chemotherapy benefit in early-stage non-small cell lung cancer. | Li DH et al. | — | 2022 | → |
| Dissecting the heterogeneity of posttraumatic stress disorder: differences in polygenic risk, stress exposures, and course of PTSD subtypes. | Campbell-Sills L et al. | — | 2022 | → |
| Diversity in Polygenic Risk of Primary Open-Angle Glaucoma. | Cooke Bailey JN et al. | — | 2022 | → |
| Editorial: Does the polygenic revolution herald a watershed in the study of GE interplay in developmental psychopathology? Some considerations for the Special Issue reader. | Barker ED et al. | — | 2022 | → |
| Effects of genetic risk for alcohol dependence and onset of regular drinking on the progression to alcohol dependence: A polygenic risk score approach. | Yeung EW et al. | — | 2022 | → |
| Efficient ancestry and mutation simulation with msprime 1.0. | Baumdicker F 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 | → |
| Evaluating the interrelations between the autism polygenic score and psychiatric family history in risk for autism. | Schendel D et al. | — | 2022 | → |
| Explaining the Variance in Cardiovascular Disease Risk Factors: A Comparison of Demographic, Socioeconomic, and Genetic Predictors. | Hamad R et al. | — | 2022 | → |
| ExPRSweb: An online repository with polygenic risk scores for common health-related exposures. | Ma Y et al. | — | 2022 | → |
| Familial aggregation and shared genetic loading for major psychiatric disorders and type 2 diabetes. | Su MH et al. | — | 2022 | → |
| Frequency of benign neutropenia among Black versus White individuals undergoing a bone marrow assessment. | Borinstein SC et al. | — | 2022 | → |
| From Genotype to Phenotype: Polygenic Prediction of Complex Human Traits. | Raben TG 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 polygenic risk scores analysis of alcohol use disorder in African Americans. | Lai D et al. | — | 2022 | → |
| Gene-by-peer-environment interaction effects on cigarette, alcohol, and marijuana use among US high school students of European Ancestry. | Zheng B et al. | — | 2022 | → |
| Genetic determinants of polygenic prediction accuracy within a population. | Lu T et al. | — | 2022 | → |
| Genetic diversity fuels gene discovery for tobacco and alcohol use. | Saunders GRB et al. | — | 2022 | → |
| Genetic European Ancestry and Incident Diabetes in Black Individuals: Insights From the SPRINT Trial. | Parcha V 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 scores and dementia risk across different ethnic groups in UK Biobank. | Mukadam N et al. | — | 2022 | → |
| Genetic risk scores used in cardiovascular disease prediction models: a systematic review. | Yun H et al. | — | 2022 | → |
| Genetics of Chronic Kidney Disease in Low-Resource Settings. | Ilori T et al. | — | 2022 | → |
| Genetic variants associated with low-density lipoprotein cholesterol and systolic blood pressure and the risk of recurrent cardiovascular disease in patients with established vascular disease. | Groenland EH et al. | — | 2022 | → |
| Genome-by-Trauma Exposure Interactions in Adults With Depression in the UK Biobank. | Chuong M et al. | — | 2022 | → |
| Genome-wide association study for vascular aging highlights pathways shared with cardiovascular traits in Koreans. | Ahn 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 Enrichment of <i>TERT</i> Rare Variants in Idiopathic Pulmonary Fibrosis Patients of Latino Ancestry. | Zhang D et al. | — | 2022 | → |
| Genome-wide meta-analysis of alcohol use disorder in East Asians. | Zhou H et al. | — | 2022 | → |
| Genome-wide risk prediction of common diseases across ancestries in one million people. | Mars N et al. | — | 2022 | → |
| Half a century later and we're back where we started: How the problem of locality turned in to the problem of portability. | Matthews LJ | — | 2022 | → |
| Higher educational attainment is associated with longer telomeres in midlife: Evidence from sibling comparisons in the UK Biobank. | Amin V et al. | — | 2022 | → |
| How dysregulation of the immune system promotes diabetes mellitus and cardiovascular risk complications. | Girard D et al. | — | 2022 | → |
| Human genetic admixture through the lens of population genomics. | Gopalan S et al. | — | 2022 | → |
| Human immune polymorphisms associated with the risk of cryptococcal disease. | Onyishi CU et al. | — | 2022 | → |
| Improving polygenic prediction in ancestrally diverse populations. | Ruan Y et al. | — | 2022 | → |
| Incarceration, polygenic risk, and depressive symptoms among males in late adulthood. | Liu H et al. | — | 2022 | → |
| Including diverse and admixed populations in genetic epidemiology research. | Caliebe A et al. | — | 2022 | → |
| Increasing sample diversity in psychiatric genetics - Introducing a new cohort of patients with schizophrenia and controls from Vietnam - Results from a pilot study. | Nguyen VT et al. | — | 2022 | → |
| Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification. | Ding Y et al. | — | 2022 | → |
| Longer screen time utilization is associated with the polygenic risk for Attention-deficit/hyperactivity disorder with mediation by brain white matter microstructure. | Yang A et al. | — | 2022 | → |
| Mapping the genetic architecture of cortical morphology through neuroimaging: progress and perspectives. | van der Meer D et al. | — | 2022 | → |
| Mendelian Randomization: Concepts and Scope. | Richmond RC et al. | — | 2022 | → |
| Mosaic patterns of selection in genomic regions associated with diverse human traits. | Abraham A et al. | — | 2022 | → |
| Mother's and children's ADHD genetic risk, household chaos and children's ADHD symptoms: A gene-environment correlation study. | Agnew-Blais JC et al. | — | 2022 | → |
| Multi-ancestry fine-mapping improves precision to identify causal genes in transcriptome-wide association studies. | Lu Z et al. | — | 2022 | → |
| Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. | Mahajan A et al. | — | 2022 | → |
| Multidimensional Early Prediction Score for Drug-Resistant Epilepsy. | Kang KW et al. | — | 2022 | → |
| Nature vs. Nurture in Precision Education: Insights of Parents and the Public. | Sabatello M et al. | — | 2022 | → |
| Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations. | Elgart M et al. | — | 2022 | → |
| Novel alleles gained during the Beringian isolation period. | Niedbalski SD et al. | — | 2022 | → |
| Opportunities and challenges for the use of common controls in sequencing studies. | Wojcik GL et al. | — | 2022 | → |
| PGS-server: accuracy, robustness and transferability of polygenic score methods for biobank scale studies. | Yang S et al. | — | 2022 | → |
| Polygenic embryo testing: understated ethics, unclear utility. | Johnston J et al. | — | 2022 | → |
| Polygenic prediction of atopic dermatitis improves with atopic training and filaggrin factors. | Arehart CH et al. | — | 2022 | → |
| Polygenic risk for schizophrenia as a moderator of associations between childhood trauma and schizotypy. | Tonini E et al. | — | 2022 | → |
| Polygenic risk, population structure and ongoing difficulties with race in human genetics. | Kaplan JM et al. | — | 2022 | → |
| Polygenic risk prediction and SNCA haplotype analysis in a Latino Parkinson's disease cohort. | Loesch DP et al. | — | 2022 | → |
| Polygenic risk prediction based on singular value decomposition with applications to alcohol use disorder. | Yang JJ et al. | — | 2022 | → |
| Polygenic Risk Score in African populations: progress and challenges. | Adam Y et al. | — | 2022 | → |
| Polygenic Risk Score Predicts Sudden Death in Patients With Coronary Disease and Preserved Systolic Function. | Sandhu RK et al. | — | 2022 | → |
| Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association. | O'Sullivan JW et al. | — | 2022 | → |
| Polygenic risk scores for prediction of breast cancer risk in Asian populations. | Ho WK et al. | — | 2022 | → |
| Polygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach. | Gao G et al. | — | 2022 | → |
| Polygenic risk scores of endo-phenotypes identify the effect of genetic background in congenital heart disease. | Spendlove SJ et al. | — | 2022 | → |
| Polygenic score accuracy in ancient samples: Quantifying the effects of allelic turnover. | Carlson MO et al. | — | 2022 | → |
| Polygenic scores in biomedical research. | Kullo IJ et al. | — | 2022 | → |
| Population differentiation of polygenic score predictions under stabilizing selection. | Yair S et al. | — | 2022 | → |
| Positive associations between cannabis and alcohol use polygenic risk scores and phenotypic opioid misuse among African-Americans. | Rabinowitz JA et al. | — | 2022 | → |
| Precision Medicine Needs to Think Outside the Box. | Martschenko DO et al. | — | 2022 | → |
| Predicting Archaic Hominin Phenotypes from Genomic Data. | Brand CM et al. | — | 2022 | → |
| Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize. | Ramstein GP et al. | — | 2022 | → |
| Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: A machine learning analysis of population-based 10-year prospective cohort study. | Hahn SJ et al. | — | 2022 | → |
| Racial Discrimination and Alcohol Problems: Examining Interactions with Genetic Risk and Impulsivity among African American Young Adults. | Su J et al. | — | 2022 | → |
| Revisiting the Effect of Retirement on Cognition: Heterogeneity and Endowment. | Jung D et al. | — | 2022 | → |
| SALAI-Net: species-agnostic local ancestry inference network. | Oriol Sabat B et al. | — | 2022 | → |
| Significant sparse polygenic risk scores across 813 traits in UK Biobank. | Tanigawa Y et al. | — | 2022 | → |
| Social Risk Factors in Society of Thoracic Surgeons Risk Models. Part 1: Concepts, Indicator Variables, and Controversies. | Shahian DM et al. | — | 2022 | → |
| Stability of polygenic scores across discovery genome-wide association studies. | Schultz LM et al. | — | 2022 | → |
| Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa. | Kim MS et al. | — | 2022 | → |
| The Associations of Polygenic Scores for Risky Behaviors and Parenting Behaviors with Adolescent Externalizing Problems. | Ksinan AJ et al. | — | 2022 | → |
| The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores. | Page ML et al. | — | 2022 | → |
| 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 | → |
| Three legs of the missing heritability problem. | Matthews LJ et al. | — | 2022 | → |
| Toward a More Just System of Care in Molecular Pathology. | Lilley CM et al. | — | 2022 | → |
| Towards a global view of multiple sclerosis genetics. | Jacobs BM et al. | — | 2022 | → |
| Transfer Learning in Genome-Wide Association Studies with Knockoffs. | Li S et al. | — | 2022 | → |
| Uganda Genome Resource: A rich research database for genomic studies of communicable and non-communicable diseases in Africa. | Fatumo S et al. | — | 2022 | → |
| Uncovering Signals of Positive Selection in Peruvian Populations from Three Ecological Regions. | Caro-Consuegra R et al. | — | 2022 | → |
| Underrepresented Populations at the Archaic Introgression Frontier. | Villanea FA et al. | — | 2022 | → |
| Use of Polygenic Risk Scores for Coronary Heart Disease in Ancestrally Diverse Populations. | Dikilitas O et al. | — | 2022 | → |
| What Do We Know About the Genetic Architecture of Psychopathology? | Giangrande EJ et al. | — | 2022 | → |
| Whole-genome sequencing of 1,171 elderly admixed individuals from São Paulo, Brazil. | Naslavsky MS et al. | — | 2022 | → |
| A 6-CpG validated methylation risk score model for metabolic syndrome: The HyperGEN and GOLDN studies. | Hidalgo BA et al. | — | 2021 | → |
| ABO Genetic Variation in Neanderthals and Denisovans. | Villanea FA et al. | — | 2021 | → |
| Achieved educational attainment, inherited genetic endowment for education, and obesity. | Li Y et al. | — | 2021 | → |
| Admixed Populations Improve Power for Variant Discovery and Portability in Genome-Wide Association Studies. | Lin M et al. | — | 2021 | → |
| Admixture Has Shaped Romani Genetic Diversity in Clinically Relevant Variants. | Font-Porterias N et al. | — | 2021 | → |
| African genetic diversity and adaptation inform a precision medicine agenda. | Pereira L et al. | — | 2021 | → |
| A genomic region associated with protection against severe COVID-19 is inherited from Neandertals. | Zeberg H 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 | → |
| A Large-Scale Association Study Detects Novel Rare Variants, Risk Genes, Functional Elements, and Polygenic Architecture of Prostate Cancer Susceptibility. | Emami NC et al. | — | 2021 | → |
| Allele frequency differentiation at height-associated SNPs among continental human populations. | Chen M et al. | — | 2021 | → |
| A model and test for coordinated polygenic epistasis in complex traits. | Sheppard B et al. | — | 2021 | → |
| Analytical protocol to identify local ancestry-associated molecular features in cancer. | Carrot-Zhang J et al. | — | 2021 | → |
| Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example. | Hatoum AS et al. | — | 2021 | → |
| An immunogenetic view of COVID-19. | Aguiar VRC et al. | — | 2021 | → |
| A Polygenic Risk Score to Predict Future Adult Short Stature Among Children. | Lu T et al. | — | 2021 | → |
| Applications and Challenges of Machine Learning Methods in Alzheimer's Disease Multi-Source Data Analysis. | Li X et al. | — | 2021 | → |
| Association Analysis of Candidate Variants in Admixed Brazilian Patients With Genetic Generalized Epilepsies. | Kaibara FS et al. | — | 2021 | → |
| Association between the polygenic liabilities for prostate cancer and breast cancer with biochemical recurrence after radical prostatectomy for localized prostate cancer. | Wang SH et al. | — | 2021 | → |
| Association of Genetic Risk Score With NAFLD in An Ethnically Diverse Cohort. | Wang J et al. | — | 2021 | → |
| Associations between polygenic risk score for age at menarche and menopause, reproductive timing, and serum hormone levels in multiple race/ethnic groups. | Zhao W et al. | — | 2021 | → |
| Associations between Suicidal Thoughts and Behaviors and Genetic Liability for Cognitive Performance, Depression, and Risk-Taking in a High-Risk Sample. | Johnson EC 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 | → |
| Biased pathogenic assertions of loss of function variants challenge molecular diagnosis of admixed individuals. | Naslavsky MS et al. | — | 2021 | → |
| BMI Is Causally Associated With Pulmonary Artery Pressure But Not Hemodynamic Evidence of Pulmonary Vascular Remodeling. | Thayer TE et al. | — | 2021 | → |
| Calibrated rare variant genetic risk scores for complex disease prediction using large exome sequence repositories. | Lali R et al. | — | 2021 | → |
| Changes in the fine-scale genetic structure of Finland through the 20th century. | Kerminen S et al. | — | 2021 | → |
| Characterizing the Genetic Architecture of Parkinson's Disease in Latinos. | Loesch DP et al. | — | 2021 | → |
| Cognition in context: Pathways and compound risk in a sample of US non-Hispanic whites. | Robinette JW et al. | — | 2021 | → |
| Common Treatment, Common Variant: Evolutionary Prediction of Functional Pharmacogenomic Variants. | Scheinfeldt LB et al. | — | 2021 | → |
| Complex genetic admixture histories reconstructed with Approximate Bayesian Computation. | Fortes-Lima CA et al. | — | 2021 | → |
| Complicated legacies: The human genome at 20. | Jones KM et al. | — | 2021 | → |
| Conceptualization of population-specific human functional immune-genomics projects to identify factors that contribute to variability in immune and infectious diseases. | Boahen CK et al. | — | 2021 | → |
| Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies. | Kessler T et al. | — | 2021 | → |
| Cross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank. | De Lillo A et al. | — | 2021 | → |
| Cultural evolution of genetic heritability. | Uchiyama R et al. | — | 2021 | → |
| Cumulative Genetic Risk and <i>APOE ε4</i> Are Independently Associated With Dementia Status in a Multiethnic, Population-Based Cohort. | Bakulski KM et al. | — | 2021 | → |
| Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk. | De Angelis F et al. | — | 2021 | → |
| Dynamic change in the association of a cigarettes-per-day polygenic risk score across the numeric range of its corresponding phenotype over adolescence and young adulthood. | Deutsch AR et al. | — | 2021 | → |
| Early life course processes leading to educational and economic attainment in young adulthood: Contributions of early socioeconomic adversity and education polygenic score. | Wickrama KAS et al. | — | 2021 | → |
| Early Life Experiences Moderate the Relationship Between Genetic Risk of Autism and Current and Lifetime Mental Health. | Shin SH et al. | — | 2021 | → |
| Educational attainment polygenic score predicts inhibitory control and academic skills in early and middle childhood. | Rea-Sandin G et al. | — | 2021 | → |
| Estimating disease prevalence in large datasets using genetic risk scores. | Evans BD et al. | — | 2021 | → |
| Estimating prevalence of human traits among populations from polygenic risk scores. | Graham BE et al. | — | 2021 | → |
| Evaluating marginal genetic correlation of associated loci for complex diseases and traits between European and East Asian populations. | Lu H et al. | — | 2021 | → |
| Evaluating Polygenic Risk Scores for Breast Cancer in Women of African Ancestry. | Du Z et al. | — | 2021 | → |
| Evaluating the Continued Integration of Genetics into Medical Sociology. | Boardman JD et al. | — | 2021 | → |
| Exploring a Region on Chromosome 8p23.1 Displaying Positive Selection Signals in Brazilian Admixed Populations: Additional Insights Into Predisposition to Obesity and Related Disorders. | Secolin R et al. | — | 2021 | → |
| Familial factors may not explain the effect of moderate-to-heavy cannabis use on cognitive functioning in adolescents: a sibling-comparison study. | Ellingson JM et al. | — | 2021 | → |
| Fate or coincidence: do COPD and major depression share genetic risk factors? | Martucci VL et al. | — | 2021 | → |
| Fine-scale population structure and demographic history of British Pakistanis. | Arciero E et al. | — | 2021 | → |
| Genes-in-Dyads: A Study of Relationship Quality. | Das A | — | 2021 | → |
| Genetic Admixture in the Culturally Unique Peranakan Chinese Population in Southeast Asia. | Wu D et al. | — | 2021 | → |
| Genetic ancestry plays a central role in population pharmacogenomics. | Yang HC et al. | — | 2021 | → |
| Genetic and clinical analyses of psychosis spectrum symptoms in a large multiethnic youth cohort reveal significant link with ADHD. | Olde Loohuis LM et al. | — | 2021 | → |
| Genetic and Transcriptomic Biomarkers in Neurodegenerative Diseases: Current Situation and the Road Ahead. | Lake J et al. | — | 2021 | → |
| Genetic Interactions with Intrauterine Diabetes Exposure in Relation to Obesity: The EPOCH and Project Viva Studies. | Stanislawski MA et al. | — | 2021 | → |
| Genetic landscape of Gullah African Americans. | Zimmerman KD et al. | — | 2021 | → |
| Genetic Loci and Physiologic Pathways Involved in Gestational Diabetes Mellitus Implicated Through Clustering. | Powe CE et al. | — | 2021 | → |
| Genetic prediction of complex traits with polygenic scores: a statistical review. | Ma Y et al. | — | 2021 | → |
| Genetic propensity for risky behavior and depression and risk of lifetime suicide attempt among urban African Americans in adolescence and young adulthood. | Rabinowitz JA et al. | — | 2021 | → |
| Genetic Risk Prediction of COVID-19 Susceptibility and Severity in the Indian Population. | Prakrithi P et al. | — | 2021 | → |
| Genetic risks, adolescent health, and schooling attainment. | Amin V et al. | — | 2021 | → |
| Genetic risk scores for cardiometabolic traits in sub-Saharan African populations. | Ekoru K et al. | — | 2021 | → |
| Genetic susceptibility, obesity and lifetime risk of type 2 diabetes: The ARIC study and Rotterdam Study. | Ligthart S et al. | — | 2021 | → |
| Genetic underpinnings of regional adiposity distribution in African Americans: Assessments from the Jackson Heart Study. | Anwar MY et al. | — | 2021 | → |
| Genetic variation associated with thyroid autoimmunity shapes the systemic immune response to PD-1 checkpoint blockade. | Khan Z et al. | — | 2021 | → |
| Genome-wide analysis of blood lipid metabolites in over 5000 South Asians reveals biological insights at cardiometabolic disease loci. | Harshfield EL 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 | → |
| Genomewide Association Studies in Pharmacogenomics. | McInnes G et al. | — | 2021 | → |
| Genome-wide association study of epilepsy in a Japanese population identified an associated region at chromosome 12q24. | Suzuki T et al. | — | 2021 | → |
| Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations. | Xiang R et al. | — | 2021 | → |
| Geographic variation in the polygenic score of height in Japan. | Isshiki M et al. | — | 2021 | → |
| Global Genetic Heterogeneity in Adaptive Traits. | Lopez-Arboleda WA et al. | — | 2021 | → |
| Haplotype-aware inference of human chromosome abnormalities. | Ariad D et al. | — | 2021 | → |
| Haplotype-resolved diverse human genomes and integrated analysis of structural variation. | Ebert P et al. | — | 2021 | → |
| Horizon Scanning in Cancer Genomics: How Advances in Genomic Medicine Will Change Cancer Care Over the Next Decade. | Seed LM | — | 2021 | → |
| Human genetic admixture. | Korunes KL et al. | — | 2021 | → |
| Inclusion of variants discovered from diverse populations improves polygenic risk score transferability. | Cavazos TB et al. | — | 2021 | → |
| Interaction Between Physical Activity and Polygenic Score on Type 2 Diabetes Mellitus in Older Black and White Participants From the Health and Retirement Study. | Wu YY et al. | — | 2021 | → |
| Investigating the effects of genetic risk of schizophrenia on behavioural traits. | Socrates A et al. | — | 2021 | → |
| Investigating the genetic architecture of noncognitive skills using GWAS-by-subtraction. | Demange PA et al. | — | 2021 | → |
| Lessons learned from the eMERGE Network: balancing genomics in discovery and practice. | eMERGE Consortiumdavid.crosslin@gmail.com | — | 2021 | → |
| Leveraging phenotypic variability to identify genetic interactions in human phenotypes. | Marderstein AR et al. | — | 2021 | → |
| Machine learning for genetic prediction of psychiatric disorders: a systematic review. | Bracher-Smith M et al. | — | 2021 | → |
| Machine Learning Prediction of Biomarkers from SNPs and of Disease Risk from Biomarkers in the UK Biobank. | Widen E 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 | → |
| Mechanisms of parent-child transmission of tobacco and alcohol use with polygenic risk scores: Evidence for a genetic nurture effect. | Saunders GRB et al. | — | 2021 | → |
| Mendelian Randomization of Dyslipidemia on Cognitive Impairment Among Older Americans. | Fu M et al. | — | 2021 | → |
| Meta-Analysis of Joint Test of SNP and SNP-Environment Interaction with Heterogeneity. | Jin Q et al. | — | 2021 | → |
| Moderators of gene-outcome associations following traumatic brain injury. | Carmichael J et al. | — | 2021 | → |
| Mortality and Obesity Among U.S. Older Adults: The Role of Polygenic Risk. | Vinneau JM et al. | — | 2021 | → |
| Multi-environment gene interactions linked to the interplay between polysubstance dependence and suicidality. | Polimanti R et al. | — | 2021 | → |
| Multi-omics in mesial temporal lobe epilepsy with hippocampal sclerosis: Clues into the underlying mechanisms leading to disease. | Bruxel EM et al. | — | 2021 | → |
| Multiple-ancestry genome-wide association study identifies 27 loci associated with measures of hemolysis following blood storage. | Page GP et al. | — | 2021 | → |
| Multi-Trait Genomic Risk Stratification for Type 2 Diabetes. | Rohde PD et al. | — | 2021 | → |
| Negative selection on complex traits limits phenotype prediction accuracy between populations. | Durvasula A et al. | — | 2021 | → |
| Neuropsychiatric Genetics of Psychosis in the Mexican Population: A Genome-Wide Association Study Protocol for Schizophrenia, Schizoaffective, and Bipolar Disorder Patients and Controls. | Camarena B et al. | — | 2021 | → |
| NGSremix: a software tool for estimating pairwise relatedness between admixed individuals from next-generation sequencing data. | Nøhr AK et al. | — | 2021 | → |
| No support for the hereditarian hypothesis of the Black-White achievement gap using polygenic scores and tests for divergent selection. | Bird KA | — | 2021 | → |
| On cross-ancestry cancer polygenic risk scores. | Fritsche LG et al. | — | 2021 | → |
| On powerful GWAS in admixed populations. | Hou K et al. | — | 2021 | → |
| Opportunities and challenges for the computational interpretation of rare variation in clinically important genes. | McInnes G et al. | — | 2021 | → |
| Parkinson's Clustering in Families of Non-Neuronopathic N370S GBA Mutation Carriers Indicates the Presence of Genetic Modifiers. | Dinur T et al. | — | 2021 | → |
| Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples. | Johnson EC et al. | — | 2021 | → |
| Polygenic Risk for Aggression Predicts Adult Substance Use Disorder Diagnoses via Substance Use Offending in Emerging Adulthood and is Moderated by a Family-Centered Intervention. | Elam KK et al. | — | 2021 | → |
| Polygenic Risk Scores. | Osterman MD et al. | — | 2021 | → |
| Polygenic risk scores for alcohol involvement relate to brain structure in substance-naïve children: Results from the ABCD study. | Hatoum AS et al. | — | 2021 | → |
| Polygenic Risk Scores for Kidney Function and Their Associations with Circulating Proteome, and Incident Kidney Diseases. | Yu Z et al. | — | 2021 | → |
| Polygenic risk scores in the clinic: Translating risk into action. | Lewis ACF et al. | — | 2021 | → |
| Polygenic risk scores: the future of cancer risk prediction, screening, and precision prevention. | Wang Y et al. | — | 2021 | → |
| Polygenic risk score validation using Korean genomes of 265 early-onset acute myocardial infarction patients and 636 healthy controls. | Bhak Y et al. | — | 2021 | → |
| Population-specific causal disease effect sizes in functionally important regions impacted by selection. | Shi H et al. | — | 2021 | → |
| Populations, Traits, and Their Spatial Structure in Humans. | Sohail M et al. | — | 2021 | → |
| Potential causal role of l-glutamine in sickle cell disease painful crises: A Mendelian randomization analysis. | Ilboudo Y et al. | — | 2021 | → |
| Precision Medicine Approaches to Vascular Disease: JACC Focus Seminar 2/5. | Miller CL et al. | — | 2021 | → |
| Predicting clinical outcome to specialist multimodal inpatient treatment in patients with treatment resistant depression. | Taylor RW et al. | — | 2021 | → |
| Predicting the Future of Genetic Risk Profiling of Glaucoma: A Narrative Review. | Han X et al. | — | 2021 | → |
| Probing the aggregated effects of purifying selection per individual on 1,380 medical phenotypes in the UK Biobank. | Vy HMT et al. | — | 2021 | → |
| Publicly Available hiPSC Lines with Extreme Polygenic Risk Scores for Modeling Schizophrenia. | Dobrindt K et al. | — | 2021 | → |
| Pygmalion in the Genes? On the potentially negative impacts of polygenic scores for educational attainment. | Matthews LJ et al. | — | 2021 | → |
| Quantifying genetic heterogeneity between continental populations for human height and body mass index. | Guo J et al. | — | 2021 | → |
| Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution? | Irving-Pease EK et al. | — | 2021 | → |
| "Reports of My Death Were Greatly Exaggerated": Behavior Genetics in the Postgenomic Era. | Harden KP | — | 2021 | → |
| Resource profile and user guide of the Polygenic Index Repository. | Becker J et al. | — | 2021 | → |
| Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. | Polygenic Risk Score Task Force of the International Common Disease Alliance | — | 2021 | → |
| Risk Prediction Using Polygenic Risk Scores for Prevention of Stroke and Other Cardiovascular Diseases. | Abraham G et al. | — | 2021 | → |
| Sequencing-based genome-wide association studies reporting standards. | McMahon A et al. | — | 2021 | → |
| Sleep deficits and cannabis use behaviors: an analysis of shared genetics using linkage disequilibrium score regression and polygenic risk prediction. | Winiger EA et al. | — | 2021 | → |
| Statistical models and computational tools for predicting complex traits and diseases. | Chung W | — | 2021 | → |
| Summix: A method for detecting and adjusting for population structure in genetic summary data. | Arriaga-MacKenzie IS et al. | — | 2021 | → |
| Synergizing Mouse and Human Studies to Understand the Heterogeneity of Obesity. | Gordon-Larsen P et al. | — | 2021 | → |
| The association of polygenic risk for schizophrenia, bipolar disorder, and depression with neural connectivity in adolescents and young adults: examining developmental and sex differences. | Meyers JL et al. | — | 2021 | → |
| The associations between polygenic risk, sensation seeking, social support, and alcohol use in adulthood. | Su J et al. | — | 2021 | → |
| The Contribution of Genetics and Epigenetics to Our Understanding of Health Disparities in Rheumatic Diseases. | Lanata CM et al. | — | 2021 | → |
| The double helix at school: Behavioral genetics, disability, and precision education. | Sabatello M et al. | — | 2021 | → |
| The evolution of group differences in changing environments. | Harpak A et al. | — | 2021 | → |
| The genetic basis of major depression. | Kendall KM et al. | — | 2021 | → |
| The Impact of Ethnicity and Genetic Ancestry on Disease Prevalence and Risk in Colombia. | Chande AT et al. | — | 2021 | → |
| The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores. | Schmitz LL et al. | — | 2021 | → |
| The importance of increasing population diversity in genetic studies of type 2 diabetes and related glycaemic traits. | Barroso I | — | 2021 | → |
| The influence of evolutionary history on human health and disease. | Benton ML et al. | — | 2021 | → |
| The need for polygenic score reporting standards in evidence-based practice: lipid genetics use case. | Wand H et al. | — | 2021 | → |
| The Propagation of Racial Disparities in Cardiovascular Genomics Research. | Clarke SL et al. | — | 2021 | → |
| Toward a fine-scale population health monitoring system. | Belbin GM 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 | → |
| Transcriptome prediction performance across machine learning models and diverse ancestries. | Okoro PC et al. | — | 2021 | → |
| Transferability of Ancestry-Specific and Cross-Ancestry CYP2A6 Activity Genetic Risk Scores in African and European Populations. | El-Boraie A et al. | — | 2021 | → |
| Twin studies to GWAS: there and back again. | Friedman NP et al. | — | 2021 | → |
| Type 2 Diabetes and Cognitive Status in the Health and Retirement Study: A Mendelian Randomization Approach. | Ware EB et al. | — | 2021 | → |
| Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium. | Lin BM et al. | — | 2021 | → |
| Whole-Genome Sequencing of a 900-Year-Old Human Skeleton Supports Two Past Migration Events from the Russian Far East to Northern Japan. | Sato T et al. | — | 2021 | → |
| A Custom Genotyping Array Reveals Population-Level Heterogeneity for the Genetic Risks of Prostate Cancer and Other Cancers in Africa. | Harlemon M et al. | — | 2020 | → |
| A framework for transcriptome-wide association studies in breast cancer in diverse study populations. | Bhattacharya A et al. | — | 2020 | → |
| A major role for common genetic variation in anxiety disorders. | Purves KL et al. | — | 2020 | → |
| Ancestry effects on type 2 diabetes genetic risk inference in Hispanic/Latino populations. | Chande AT et al. | — | 2020 | → |
| An update on the role of common genetic variation underlying substance use disorders. | Johnson EC et al. | — | 2020 | → |
| A Polygenic and Phenotypic Risk Prediction for Polycystic Ovary Syndrome Evaluated by Phenome-Wide Association Studies. | Joo YY et al. | — | 2020 | → |
| A positively selected FBN1 missense variant reduces height in Peruvian individuals. | Asgari S et al. | — | 2020 | → |
| A practical view of fine-mapping and gene prioritization in the post-genome-wide association era. | Broekema RV et al. | — | 2020 | → |
| Archaic hominin genomics provides a window into gene expression evolution. | Yan SM et al. | — | 2020 | → |
| Assessment of the potential role of natural selection in type 2 diabetes and related traits across human continental ancestry groups: comparison of phenotypic with genotypic divergence. | Hanson RL et al. | — | 2020 | → |
| Association Between Episodic Memory and Genetic Risk Factors for Alzheimer's Disease in South Asians from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD). | Smith JA et al. | — | 2020 | → |
| Association between polygenic liability for schizophrenia and substance involvement: A nationwide population-based study in Taiwan. | Wang SH et al. | — | 2020 | → |
| A variant-centric perspective on geographic patterns of human allele frequency variation. | Biddanda A et al. | — | 2020 | → |
| Canalization and Robustness in Human Genetics and Disease. | Gibson G et al. | — | 2020 | → |
| Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks. | Fritsche LG et al. | — | 2020 | → |
| CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research. | Xu Q et al. | — | 2020 | → |
| Common genetic variation and risk of osteosarcoma in a multi-ethnic pediatric and adolescent population. | Zhang C et al. | — | 2020 | → |
| Comparing local ancestry inference models in populations of two- and three-way admixture. | Schubert R et al. | — | 2020 | → |
| Comprehensive Analysis of Genetic Ancestry and Its Molecular Correlates in Cancer. | Carrot-Zhang J et al. | — | 2020 | → |
| Contribution of common and rare variants to bipolar disorder susceptibility in extended pedigrees from population isolates. | Sul JH et al. | — | 2020 | → |
| Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry. | Bigdeli TB et al. | — | 2020 | → |
| Cutting-edge genetics in obsessive-compulsive disorder. | Saraiva LC et al. | — | 2020 | → |
| Demographic and developmental patterns in telomere length across adolescence. | Gaydosh L et al. | — | 2020 | → |
| Demographic history mediates the effect of stratification on polygenic scores. | Zaidi AA et al. | — | 2020 | → |
| Detecting Shared Genetic Architecture Among Multiple Phenotypes by Hierarchical Clustering of Gene-Level Association Statistics. | McGuirl MR et al. | — | 2020 | → |
| Disparities in Genetic Testing and Care among Black women with Hereditary Breast Cancer. | Reid S et al. | — | 2020 | → |
| Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models. | Mefford J et al. | — | 2020 | → |
| Efficiently Summarizing Relationships in Large Samples: A General Duality Between Statistics of Genealogies and Genomes. | Ralph P et al. | — | 2020 | → |
| Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives. | Truong B et al. | — | 2020 | → |
| Electronic health records and polygenic risk scores for predicting disease risk. | Li R et al. | — | 2020 | → |
| Evaluating the promise of inclusion of African ancestry populations in genomics. | Bentley AR et al. | — | 2020 | → |
| Evaluation of a multimedia marketing campaign to engage African American patients in glaucoma screening. | Kikut A et al. | — | 2020 | → |
| Evaluation of the Precision of Ancestry Inferences in South American Admixed Populations. | Pereira V et al. | — | 2020 | → |
| Evolutionary perspectives on polygenic selection, missing heritability, and GWAS. | Uricchio LH | — | 2020 | → |
| Familial hypercholesterolemia: is it time to separate monogenic from polygenic familial hypercholesterolemia? | Brandts J et al. | — | 2020 | → |
| Fine-scale genomic analyses of admixed individuals reveal unrecognized genetic ancestry components in Argentina. | Luisi P et al. | — | 2020 | → |
| From GWAS to Function: Using Functional Genomics to Identify the Mechanisms Underlying Complex Diseases. | Cano-Gamez E et al. | — | 2020 | → |
| Generations of genomes: advances in paleogenomics technology and engagement for Indigenous people of the Americas. | Tsosie KS et al. | — | 2020 | → |
| Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study. | Papageorge NW et al. | — | 2020 | → |
| Genetic architecture of cardiometabolic risks in people living with HIV. | Cheng H et al. | — | 2020 | → |
| Genetic associations with mathematics tracking and persistence in secondary school. | Harden KP et al. | — | 2020 | → |
| Genetic Endowments and Wealth Inequality. | Barth D et al. | — | 2020 | → |
| Genetic Landscape of Common Epilepsies: Advancing towards Precision in Treatment. | Thakran S et al. | — | 2020 | → |
| Genetic liability to ADHD and substance use disorders in individuals with ADHD. | Wimberley T et al. | — | 2020 | → |
| Genetic predisposition to longer telomere length and risk of childhood, adolescent and adult-onset ependymoma. | Zhang C et al. | — | 2020 | → |
| Gene Variants Associated With Venous Thrombosis: A Replication Study in a Brazilian Multicentre Study. | Romano AVC et al. | — | 2020 | → |
| Genome-wide association studies of cardiac electrical phenotypes. | Glinge C et al. | — | 2020 | → |
| Genome-wide DNA methylation and gene expression patterns reflect genetic ancestry and environmental differences across the Indonesian archipelago. | Natri HM et al. | — | 2020 | → |
| Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank. | Coleman JRI et al. | — | 2020 | → |
| Genomic analysis of the natural history of attention-deficit/hyperactivity disorder using Neanderthal and ancient Homo sapiens samples. | Esteller-Cucala P et al. | — | 2020 | → |
| Genomic prediction of depression risk and resilience under stress. | Fang Y et al. | — | 2020 | → |
| Highly diversified core promoters in the human genome and their effects on gene expression and disease predisposition. | Gupta H et al. | — | 2020 | → |
| Human Population Genetics in Aging Studies for Molecular Biologists. | Miller B et al. | — | 2020 | → |
| Identification of NUDT15 gene variants in Amazonian Amerindians and admixed individuals from northern Brazil. | Rodrigues JCG et al. | — | 2020 | → |
| Importance of Genetic Studies of Cardiometabolic Disease in Diverse Populations. | Fernández-Rhodes L 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 | → |
| Inference of natural selection from ancient DNA. | Dehasque M et al. | — | 2020 | → |
| Is population structure in the genetic biobank era irrelevant, a challenge, or an opportunity? | Lawson DJ et al. | — | 2020 | → |
| Lessons Learned from Bugs in Models of Human History. | Ragsdale AP et al. | — | 2020 | → |
| Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies. | Song S et al. | — | 2020 | → |
| Limited Evidence for Selection at the FADS Locus in Native American Populations. | Mathieson I | — | 2020 | → |
| Local ancestry inference provides insight into Tilapia breeding programmes. | Avallone A et al. | — | 2020 | → |
| Localizing Components of Shared Transethnic Genetic Architecture of Complex Traits from GWAS Summary Data. | Shi H et al. | — | 2020 | → |
| Lung Function in African American Children with Asthma Is Associated with Novel Regulatory Variants of the KIT Ligand <i>KITLG/SCF</i> and Gene-By-Air-Pollution Interaction. | Mak ACY et al. | — | 2020 | → |
| Mouse Systems Genetics as a Prelude to Precision Medicine. | Li H et al. | — | 2020 | → |
| Multi-ethnic transcriptome-wide association study of prostate cancer. | Fiorica PN et al. | — | 2020 | → |
| Neuroticism polygenic risk score predicts 20-year burden of depressive symptoms for Whites but not Blacks. | Assari S et al. | — | 2020 | → |
| New Insights and Knowledge on Cognition and Dementia from Population-Based Cohort of Older Adults in India. | Kenny RA | — | 2020 | → |
| Non-parametric Polygenic Risk Prediction via Partitioned GWAS Summary Statistics. | Chun S et al. | — | 2020 | → |
| On the cross-population generalizability of gene expression prediction models. | Keys KL et al. | — | 2020 | → |
| Polygenic and environmental influences on the course of African Americans' alcohol use from early adolescence through young adulthood. | Rabinowitz JA et al. | — | 2020 | → |
| Polygenic risk for coronary heart disease acts through atherosclerosis in type 2 diabetes. | Lu T et al. | — | 2020 | → |
| Polygenic risk for skin autoimmunity impacts immune checkpoint blockade in bladder cancer. | Khan Z et al. | — | 2020 | → |
| Polygenic Risk Score Contribution to Psychosis Prediction in a Target Population of Persons at Clinical High Risk. | Perkins DO et al. | — | 2020 | → |
| Polygenic risk score, psychosocial environment and the risk of attention-deficit/hyperactivity disorder. | Østergaard SD et al. | — | 2020 | → |
| Polygenic Risk Scores for Diverse Ancestries: Making Genomic Medicine Equitable. | Kullo IJ et al. | — | 2020 | → |
| Polygenic risk scores: from research tools to clinical instruments. | Lewis CM et al. | — | 2020 | → |
| Polygenic Scores for Height in Admixed Populations. | Bitarello BD et al. | — | 2020 | → |
| Polygenic Scores in Developmental Psychology: Invite Genetics In, Leave Biodeterminism Behind. | Raffington L et al. | — | 2020 | → |
| Polygenic Scores to Assess Atherosclerotic Cardiovascular Disease Risk: Clinical Perspectives and Basic Implications. | Aragam KG et al. | — | 2020 | → |
| Population Histories of the United States Revealed through Fine-Scale Migration and Haplotype Analysis. | Dai CL et al. | — | 2020 | → |
| Population History and Gene Divergence in Native Mexicans Inferred from 76 Human Exomes. | Ávila-Arcos MC et al. | — | 2020 | → |
| Population-specific reference panels are crucial for genetic analyses: an example of the CREBRF locus in Native Hawaiians. | Lin M et al. | — | 2020 | → |
| Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups. | Dikilitas O et al. | — | 2020 | → |
| Recent Efforts to Dissect the Genetic Basis of Alcohol Use and Abuse. | Sanchez-Roige S et al. | — | 2020 | → |
| Recent shifts in the genomic ancestry of Mexican Americans may alter the genetic architecture of biomedical traits. | Spear ML et al. | — | 2020 | → |
| Risk prediction and risk factor analysis of urban logistics to public security based on PSO-GRNN algorithm. | Zhao M et al. | — | 2020 | → |
| Schizophrenia Polygenic Risk and Brain Structural Changes in Methamphetamine-Associated Psychosis in a South African Population. | Passchier RV et al. | — | 2020 | → |
| Separating Measured Genetic and Environmental Effects: Evidence Linking Parental Genotype and Adopted Child Outcomes. | Domingue BW et al. | — | 2020 | → |
| Societal considerations in host genome testing for COVID-19. | Milne R | — | 2020 | → |
| The Brazilian Initiative on Precision Medicine (BIPMed): fostering genomic data-sharing of underrepresented populations. | Rocha CS et al. | — | 2020 | → |
| The Contribution of Cognitive and Noncognitive Skills to Intergenerational Social Mobility. | McGue M et al. | — | 2020 | → |
| The Earliest Origins of Genetic Nurture: The Prenatal Environment Mediates the Association Between Maternal Genetics and Child Development. | Armstrong-Carter E et al. | — | 2020 | → |
| The genetic architecture of vitiligo. | Roberts GHL et al. | — | 2020 | → |
| The Genetics of Externalizing Problems. | Barr PB et al. | — | 2020 | → |
| The GWAS Diversity Monitor tracks diversity by disease in real time. | Mills MC et al. | — | 2020 | → |
| The impact of BMI on mental health: Further evidence from genetic markers. | Amin V et al. | — | 2020 | → |
| Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations. | Wang Y et al. | — | 2020 | → |
| The Phenotypic Consequences of Genetic Divergence between Admixed Latin American Populations: Antioquia and Chocó, Colombia. | Chande AT et al. | — | 2020 | → |
| The Relative Contributions of Socioeconomic and Genetic Factors to Variations in Body Mass Index Among Young Adults. | Kim R et al. | — | 2020 | → |
| The shaping of immunological responses through natural selection after the Roma Diaspora. | Dobon B et al. | — | 2020 | → |
| The single-cell eQTLGen consortium. | van der Wijst M et al. | — | 2020 | → |
| Tutorial: a guide to performing polygenic risk score analyses. | Choi SW et al. | — | 2020 | → |
| Untangling the genetic basis of drug response. | Rohde PD et al. | — | 2020 | → |
| Using common genetic variation to examine phenotypic expression and risk prediction in 22q11.2 deletion syndrome. | Davies RW et al. | — | 2020 | → |
| Using DNA From Mothers and Children to Study Parental Investment in Children's Educational Attainment. | Wertz J et al. | — | 2020 | → |
| Using genetics for social science. | Harden KP et al. | — | 2020 | → |
| Using genetics to prioritize diagnoses for rheumatology outpatients with inflammatory arthritis. | Knevel R et al. | — | 2020 | → |
| Using polygenic scores for identifying individuals at increased risk of substance use disorders in clinical and population samples. | Barr PB et al. | — | 2020 | → |
| Validation of a Genome-Wide Polygenic Score for Coronary Artery Disease in South Asians. | Wang M et al. | — | 2020 | → |
| Variable prediction accuracy of polygenic scores within an ancestry group. | Mostafavi H et al. | — | 2020 | → |
| Accuracy of Gene Expression Prediction From Genotype Data With PrediXcan Varies Across and Within Continental Populations. | Mikhaylova AV et al. | — | 2019 | → |
| A comprehensive survey of models for dissecting local ancestry deconvolution in human genome. | Geza E et al. | — | 2019 | → |
| Advanced Paternal Age and Early Onset of Schizophrenia in Sporadic Cases: Not Confounded by Parental Polygenic Risk for Schizophrenia. | Wang SH et al. | — | 2019 | → |
| African American ancestry contribution to asthma and atopic dermatitis. | Daya M et al. | — | 2019 | → |
| Analysis of polygenic risk score usage and performance in diverse human populations. | Duncan L et al. | — | 2019 | → |
| Ancestry-Dependent Enrichment of Deleterious Homozygotes in Runs of Homozygosity. | Szpiech ZA et al. | — | 2019 | → |
| An evolutionary compass for detecting signals of polygenic selection and mutational bias. | Uricchio LH et al. | — | 2019 | → |
| A New Era of Prostate Cancer Precision Medicine. | Malik A et al. | — | 2019 | → |
| A Polygenic Score for Higher Educational Attainment is Associated with Larger Brains. | Elliott ML et al. | — | 2019 | → |
| A scientometric review of genome-wide association studies. | Mills MC et al. | — | 2019 | → |
| Association Between Genetic Risk and Development of Type 2 Diabetes in a General Japanese Population: The Hisayama Study. | Inaishi J et al. | — | 2019 | → |
| Association of genetic and behavioral characteristics with the onset of diabetes. | Ng CD et al. | — | 2019 | → |
| Association of Schizophrenia Risk With Disordered Niacin Metabolism in an Indian Genome-wide Association Study. | Periyasamy S et al. | — | 2019 | → |
| Associations between an educational attainment polygenic score with educational attainment in an African American sample. | Rabinowitz JA et al. | — | 2019 | → |
| Associations between schizophrenia genetic risk, anxiety disorders and manic/hypomanic episode in a longitudinal population cohort study. | Richards A et al. | — | 2019 | → |
| A systematic literature review on the European, African and Amerindian genetic ancestry components on Brazilian health outcomes. | Pereira FDSCF et al. | — | 2019 | → |
| Case-Only Analysis of Gene-Environment Interactions Using Polygenic Risk Scores. | Meisner A et al. | — | 2019 | → |
| Clinical use of current polygenic risk scores may exacerbate health disparities. | Martin AR et al. | — | 2019 | → |
| Comparative genetic architectures of schizophrenia in East Asian and European populations. | Lam M et al. | — | 2019 | → |
| Contributions of an Internalizing Symptoms Polygenic Risk Score and Contextual Factors to Alcohol-Related Disorders in African American Young Adults. | Rabinowitz JA et al. | — | 2019 | → |
| Cross-Cancer Pleiotropic Associations with Lung Cancer Risk in African Americans. | Jones CC et al. | — | 2019 | → |
| Deconstructing the sources of genotype-phenotype associations in humans. | Young AI et al. | — | 2019 | → |
| Defining the Genetic, Genomic, Cellular, and Diagnostic Architectures of Psychiatric Disorders. | Sullivan PF et al. | — | 2019 | → |
| Differential vulnerability to neighbourhood disorder: a gene×environment interaction study. | Robinette JW et al. | — | 2019 | → |
| Distribution of local ancestry and evidence of adaptation in admixed populations. | Secolin R et al. | — | 2019 | → |
| Diversity In Precision Medicine And Pharmacogenetics: Methodological And Conceptual Considerations For Broadening Participation. | Popejoy AB | — | 2019 | → |
| Educational attainment and allostatic load in later life: Evidence using genetic markers. | Ding X et al. | — | 2019 | → |
| Efficient Implementation of Penalized Regression for Genetic Risk Prediction. | Privé F et al. | — | 2019 | → |
| Evaluating the Integration of Genomics into Cancer Screening Programmes: Challenges and Opportunities. | Briggs S et al. | — | 2019 | → |
| Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene-region aggregation techniques. | Schmitz LL et al. | — | 2019 | → |
| Fast and accurate genomic analyses using genome graphs. | Rakocevic G et al. | — | 2019 | → |
| Functional Genomics and CRISPR Applied to Cardiovascular Research and Medicine. | Li F et al. | — | 2019 | → |
| Future Preventive Gene Therapy of Polygenic Diseases from a Population Genetics Perspective. | Oliynyk RT | — | 2019 | → |
| Generalizing polygenic risk scores from Europeans to Hispanics/Latinos. | Grinde KE et al. | — | 2019 | → |
| Gene set enrichment analysis to create polygenic scores: a developmental examination of aggression. | Elam KK et al. | — | 2019 | → |
| Genes, Roommates, and Residence Halls: A Multidimensional Study of the Role of Peer Drinking on College Students' Alcohol Use. | Smith RL et al. | — | 2019 | → |
| Genetic analyses of diverse populations improves discovery for complex traits. | Wojcik GL et al. | — | 2019 | → |
| Genetic Basis of Obesity and Type 2 Diabetes in Africans: Impact on Precision Medicine. | Doumatey AP et al. | — | 2019 | → |
| Genetic contributions to variation in human stature in prehistoric Europe. | Cox SL et al. | — | 2019 | → |
| Genetic counseling, 2030: An on-demand service tailored to the needs of a price conscious, genetically literate, and busy world. | Rashkin MD et al. | — | 2019 | → |
| Genetic Predisposition to Type 2 Diabetes and Risk of Subclinical Atherosclerosis and Cardiovascular Diseases Among 160,000 Chinese Adults. | Gan W et al. | — | 2019 | → |
| Genetic Risk Scores. | Igo RP et al. | — | 2019 | → |
| Genetic Risk Scores for Diabetes Diagnosis and Precision Medicine. | Udler MS et al. | — | 2019 | → |
| Genetics and the geography of health, behaviour and attainment. | Belsky DW et al. | — | 2019 | → |
| Genetics of nurture: A test of the hypothesis that parents' genetics predict their observed caregiving. | Wertz J et al. | — | 2019 | → |
| Genomic Predictors of Asthma Phenotypes and Treatment Response. | Hernandez-Pacheco N et al. | — | 2019 | → |
| Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke. | Abraham G et al. | — | 2019 | → |
| Genomics of disease risk in globally diverse populations. | Gurdasani D et al. | — | 2019 | → |
| Geographic Variation and Bias in the Polygenic Scores of Complex Diseases and Traits in Finland. | Kerminen S et al. | — | 2019 | → |
| Heritability of blood pressure traits in diverse populations: a systematic review and meta-analysis. | Kolifarhood G et al. | — | 2019 | → |
| Human Disease Variation in the Light of Population Genomics. | Prohaska A et al. | — | 2019 | → |
| Inferred divergent gene regulation in archaic hominins reveals potential phenotypic differences. | Colbran LL et al. | — | 2019 | → |
| Integrative analyses of major histocompatibility complex loci in the genome-wide association studies of major depressive disorder. | Li H et al. | — | 2019 | → |
| International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci. | Nievergelt CM et al. | — | 2019 | → |
| International Society of Psychiatric Genetics Ethics Committee: Issues facing us. | Lázaro-Muñoz G et al. | — | 2019 | → |
| Interpreting polygenic scores, polygenic adaptation, and human phenotypic differences. | Rosenberg NA et al. | — | 2019 | → |
| Investigating mitonuclear interactions in human admixed populations. | Zaidi AA et al. | — | 2019 | → |
| Meta-Analysis of SNP-Environment Interaction with Heterogeneity. | Jin Q et al. | — | 2019 | → |
| Neuropsychiatric Genetics of African Populations-Psychosis (NeuroGAP-Psychosis): a case-control study protocol and GWAS in Ethiopia, Kenya, South Africa and Uganda. | Stevenson A et al. | — | 2019 | → |
| On Using Local Ancestry to Characterize the Genetic Architecture of Human Traits: Genetic Regulation of Gene Expression in Multiethnic or Admixed Populations. | Zhong Y et al. | — | 2019 | → |
| Personalized Medicine and the Power of Electronic Health Records. | Abul-Husn NS et al. | — | 2019 | → |
| Phenotypic Annotation: Using Polygenic Scores to Translate Discoveries From Genome-Wide Association Studies From the Top Down. | Belsky DW et al. | — | 2019 | → |
| Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies. | Sohail M et al. | — | 2019 | → |
| Polygenic burden in focal and generalized epilepsies. | Leu C et al. | — | 2019 | → |
| Polygenic risk associated with post-traumatic stress disorder onset and severity. | Misganaw B et al. | — | 2019 | → |
| Polygenic risk for schizophrenia and associated brain structural changes: A systematic review. | van der Merwe C et al. | — | 2019 | → |
| Polygenic risk score as a determinant of risk of non-melanoma skin cancer in a European-descent renal transplant cohort. | Stapleton CP et al. | — | 2019 | → |
| PopCluster: an algorithm to identify genetic variants with ethnicity-dependent effects. | Gurinovich A et al. | — | 2019 | → |
| Population Pharmacogenomics for Precision Public Health in Colombia. | Nagar SD et al. | — | 2019 | → |
| Predicting Polygenic Risk of Psychiatric Disorders. | Martin AR et al. | — | 2019 | → |
| PRSice-2: Polygenic Risk Score software for biobank-scale data. | Choi SW et al. | — | 2019 | → |
| Psychosocial moderation of polygenic risk for cannabis involvement: the role of trauma exposure and frequency of religious service attendance. | Meyers JL et al. | — | 2019 | → |
| Race-ethnic differences in the associations of maternal lipid trait genetic risk scores with longitudinal fetal growth. | Ouidir M et al. | — | 2019 | → |
| Reconstructed Lost Native American Populations from Eastern Brazil Are Shaped by Differential Jê/Tupi Ancestry. | Mas-Sandoval A et al. | — | 2019 | → |
| Reconstructing Denisovan Anatomy Using DNA Methylation Maps. | Gokhman D et al. | — | 2019 | → |
| Reconstructing recent population history while mapping rare variants using haplotypes. | Yunusbaev U et al. | — | 2019 | → |
| Reconstructing the History of Polygenic Scores Using Coalescent Trees. | Edge MD et al. | — | 2019 | → |
| Runs of homozygosity in sub-Saharan African populations provide insights into complex demographic histories. | Ceballos FC et al. | — | 2019 | → |
| Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders. | Jonas KG et al. | — | 2019 | → |
| Screening Human Embryos for Polygenic Traits Has Limited Utility. | Karavani E et al. | — | 2019 | → |
| Shades of complexity: New perspectives on the evolution and genetic architecture of human skin. | Quillen EE et al. | — | 2019 | → |
| Standardized Biogeographic Grouping System for Annotating Populations in Pharmacogenetic Research. | Huddart R et al. | — | 2019 | → |
| Substructured Population Growth in the Ashkenazi Jews Inferred with Approximate Bayesian Computation. | Gladstein AL et al. | — | 2019 | → |
| Testing for family influences on obesity: The role of genetic nurture. | Cawley J et al. | — | 2019 | → |
| Testing gene by community disadvantage moderation of sexual health outcomes among urban women. | Powell TW et al. | — | 2019 | → |
| The evolution of genetic-based risk scores for lipids and cardiovascular disease. | Dron JS et al. | — | 2019 | → |
| The Family Check-up Intervention Moderates Polygenic Influences on Long-Term Alcohol Outcomes: Results from a Randomized Intervention Trial. | Kuo SI et al. | — | 2019 | → |
| The Future of Genomic Studies Must Be Globally Representative: Perspectives from PAGE. | Bien SA et al. | — | 2019 | → |
| The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. | Johnson EC et al. | — | 2019 | → |
| The Missing Diversity in Human Genetic Studies. | Sirugo G et al. | — | 2019 | → |
| The Missing Diversity in Human Genetic Studies. | Sirugo G et al. | — | 2019 | → |
| The transferability of lipid loci across African, Asian and European cohorts. | Kuchenbaecker K et al. | — | 2019 | → |
| TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits. | Nagpal S et al. | — | 2019 | → |
| Towards clinical utility of polygenic risk scores. | Lambert SA et al. | — | 2019 | → |
| Transcriptome association studies of neuropsychiatric traits in African Americans implicate <i>PRMT7</i> in schizophrenia. | Fiorica PN et al. | — | 2019 | → |
| Understanding the correlation between Alzheimer's Disease polygenic risk, wealth, and the composition of wealth holdings. | Shin SH et al. | — | 2019 | → |
| Unpacking Genetic Risk Pathways for College Student Alcohol Consumption: The Mediating Role of Impulsivity. | Ksinan AJ et al. | — | 2019 | → |
| Using Polygenic Scores in Social Science Research: Unraveling Childlessness. | Verweij RM et al. | — | 2019 | → |
| Validation of Genome-Wide Polygenic Risk Scores for Coronary Artery Disease in French Canadians. | Wünnemann F et al. | — | 2019 | → |
| Whole-Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized With Early-Onset Myocardial Infarction. | Khera AV et al. | — | 2019 | → |
| A genome scan for genes underlying adult body size differences between Central African hunter-gatherers and farmers. | Pemberton TJ et al. | — | 2018 | → |
| Ancestry analysis in rural Brazilian populations of African descent. | Gontijo CC et al. | — | 2018 | → |
| Deep-coverage whole genome sequences and blood lipids among 16,324 individuals. | Natarajan P et al. | — | 2018 | → |
| De novo human genome assemblies reveal spectrum of alternative haplotypes in diverse populations. | Wong KHY et al. | — | 2018 | → |
| Efficient pedigree recording for fast population genetics simulation. | Kelleher J et al. | — | 2018 | → |
| Examining interactions between genetic risk for alcohol problems, peer deviance, and interpersonal traumatic events on trajectories of alcohol use disorder symptoms among African American college students. | Su J et al. | — | 2018 | → |
| Exploring Cuba's population structure and demographic history using genome-wide data. | Fortes-Lima C et al. | — | 2018 | → |
| Father Absence and Accelerated Reproductive Development in Non-Hispanic White Women in the United States. | Gaydosh L et al. | — | 2018 | → |
| Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. | Lee JJ et al. | — | 2018 | → |
| Genetic architecture of gene expression traits across diverse populations. | Mogil LS et al. | — | 2018 | → |
| Genetic disease risks can be misestimated across global populations. | Kim MS et al. | — | 2018 | → |
| Genetic diversity in populations across Latin America: implications for population and medical genetic studies. | Belbin GM et al. | — | 2018 | → |
| Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. | Khera AV et al. | — | 2018 | → |
| Geographic Clustering of Polygenic Scores at Different Stages of the Life Course. | Domingue BW et al. | — | 2018 | → |
| GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide. | Chande AT et al. | — | 2018 | → |
| Global genetic differentiation of complex traits shaped by natural selection in humans. | Guo J et al. | — | 2018 | → |
| Human demographic history has amplified the effects of background selection across the genome. | Torres R et al. | — | 2018 | → |
| Local adaptation in European populations affected the genetics of psychiatric disorders and behavioral traits. | Polimanti R et al. | — | 2018 | → |
| Missing compared to what? Revisiting heritability, genes and culture. | Feldman MW et al. | — | 2018 | → |
| Origin and age of the causative mutations in KLC2, IMPA1, MED25 and WNT7A unravelled through Brazilian admixed populations. | de Farias AA et al. | — | 2018 | → |
| Perceived neighborhood social cohesion and cardiometabolic risk: a gene × environment study. | Robinette JW et al. | — | 2018 | → |
| Polygenic risk, family cohesion, and adolescent aggression in Mexican American and European American families: Developmental pathways to alcohol use. | Elam KK et al. | — | 2018 | → |
| Polygenic risk score for schizophrenia is more strongly associated with ancestry than with schizophrenia. | Curtis D | — | 2018 | → |
| Polygenic risk scores: a biased prediction? | De La Vega FM et al. | — | 2018 | → |
| Polygenic Risk Scoring for Coronary Heart Disease: The First Risk Factor. | Natarajan P | — | 2018 | → |
| Population structure in Argentina. | Muzzio M et al. | — | 2018 | → |
| PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores. | Chen LM et al. | — | 2018 | → |
| Replicability and Prediction: Lessons and Challenges from GWAS. | Marigorta UM et al. | — | 2018 | → |
| Schools as Moderators of Genetic Associations with Life Course Attainments: Evidence from the WLS and Add Health. | Trejo S et al. | — | 2018 | → |
| The critical needs and challenges for genetic architecture studies in Africa. | Martin AR et al. | — | 2018 | → |
| The Genetic Sphygmomanometer: an argument for routine genome-wide genotyping in the population and a new view on its use to inform clinical practice. | Timpson NJ et al. | — | 2018 | → |
| The personal and clinical utility of polygenic risk scores. | Torkamani A et al. | — | 2018 | → |
| Tread Lightly Interpreting Polygenic Tests of Selection. | Novembre J et al. | — | 2018 | → |
| Understanding Mechanisms of Genetic Risk for Adolescent Internalizing and Externalizing Problems: The Mediating Role of Parenting and Personality. | Su J et al. | — | 2018 | → |
| Using Full Genomic Information to Predict Disease: Breaking Down the Barriers Between Complex and Mendelian Diseases. | Jordan DM et al. | — | 2018 | → |
| Wide educational disparities in young adult cardiovascular health. | Lawrence EM et al. | — | 2018 | → |