Multiethnic polygenic risk scores improve risk prediction in diverse populations.
paper
Cited
Public
- Authors
- MΓ‘rquez-Luna, Carla; Loh, Po-Ru; South Asian Type 2 Diabetes (SAT2D) Consortium; SIGMA Type 2 Diabetes Consortium; Price, Alkes L
- Year
- 2017
- Journal
- Genetic epidemiology
- PMID
- 29110330
- DOI
- 10.1002/gepi.22083
- PMCID
- PMC5726434
Methods for genetic risk prediction have been widely investigated in recent years. However, most available training data involves European samples, and it is currently unclear how to accurately predict disease risk in other populations. Previous studies have used either training data from European samples in large sample size or training data from the target population in small sample size, but not both. Here, we introduce a multiethnic polygenic risk score that combines training data from European samples and training data from the target population. We applied this approach to predict type 2 diabetes (T2D) in a Latino cohort using both publicly available European summary statistics in large sample size (N =Β 40k) and Latino training data in small sample size (N =Β 8k). Here, we attained aΒ >70% relative improvement in prediction accuracy (from R =Β 0.027 to 0.047) compared to methods that use only one source of training data, consistent with large relative improvements in simulations. We observed a systematically lower load of T2D risk alleles in Latino individuals with more European ancestry, which could be explained by polygenic selection in ancestral European and/or Native American populations. We predict T2D in a South Asian UK Biobank cohort using European (N =Β 40k) and South Asian (N =Β 16k) training data and attained aΒ >70% relative improvement in prediction accuracy, and application to predict height in an African UK Biobank cohort using European (NΒ =Β 113k) and African (NΒ =Β 2k) training data attained a 30% relative improvement. Our work reduces the gap in polygenic risk prediction accuracy between European and non-European target populations.
Accuracy of main prediction methods in simulations using subsets of chromosomesWe report results for A) 2:1 training sample size ratio (row 1 of Table 1) and B) 1:1 training sample size ratio (row 2 of Table 1). We report prediction accuracies for each of the 5 main prediction methods as a function of M/Msim, where M=232,629 is the total number of SNPs and Msim is the actual number of SNPS used in each simulation: 232,629 (all chromosomes), 68,188 (chromosomes 1-4), 38,412 (chromosomes 1-2), and 19,087 (chromosome 1). Numerical results are provided in S5 Table.
Accuracy of main prediction methods in analyses of type 2 diabetes in a Latino cohort as a function of P-value thresholdsWe report prediction accuracies for each of the 5 main prediction methods as a function of (A) EUR P-value threshold, where applicable (with optimized LAT P-value threshold, where applicable) and (B) LAT P-value threshold, where applicable (with optimized EUR P-value threshold, where applicable). Numerical results are provided in S12a Table and S12b Table.
1β20 of 47
Next β
No entities extracted from this document yet.
No uploaded files.
Not in any collection.
In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Black EquaLity in OCD NeuroGenomics (BELONG): Study Protocol. | Williams IJ et al. | β | 2026 | β |
| Challenges in clinical translation of polygenic risk score analyses: A systematic review. | MartΓnez-Minguet D et al. | β | 2026 | β |
| Cross-Ancestry Polygenic Prediction: Comparing Methods and Assessing Transferability Across Traits. | Momin MM et al. | β | 2026 | β |
| Glaucoma Polygenic Risk Scores Demonstrate Heterogeneous Performance across 2 Large Multiethnic Cohorts. | Bineshfar N et al. | β | 2026 | β |
| Improving polygenic score prediction for underrepresented groups through transfer learning. | Wu H et al. | β | 2026 | β |
| Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research. | Cromer SJ et al. | β | 2026 | β |
| Polygenic Risk Score for Cancer in African Population: A Systematic Review. | Rashed WM et al. | β | 2026 | β |
| Polygenic risk scores: Navigating the future of precision medicine through economic, ethical, and scientific advancements. | Nguyen HHK et al. | β | 2026 | β |
| S4-multi: Enhancing polygenic score prediction in ancestrally diverse populations. | Baierl J et al. | β | 2026 | β |
| Biobanking with genetics shapes precision medicine and global health. | Gallagher CS et al. | β | 2025 | β |
| Cardiac Repair and Regeneration via Advanced Technology: Narrative Literature Review. | Lee Y et al. | β | 2025 | β |
| Coancestry superposed on admixed populations yields measures of relatedness at individual-level resolution. | Chen D et al. | β | 2025 | β |
| Comparing Ancestry Standardization Approaches for a Transancestry Colorectal Cancer Polygenic Risk Score. | Rosenthal EA et al. | β | 2025 | β |
| Comparison of polygenic risk scores for type 2 diabetes developed from different ancestry groups. | Furukawa T et al. | β | 2025 | β |
| Differential performance of polygenic risk scores for heart disease in Hispanic/Latino subgroups: Findings of the Hispanic Community Health Study/Study of Latinos. | Hutten CG et al. | β | 2025 | β |
| Diversifying Psychiatric Genomics: Globally Inclusive Strategies Toward Health Equity. | Giusti-RodrΓguez P et al. | β | 2025 | β |
| Excess of rare noncoding variants in several type 2 diabetes candidate genes among Asian Indian families. | Rout M et al. | β | 2025 | β |
| Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits. | Hu S et al. | β | 2025 | β |
| Genomic risk prediction for type 2 diabetes in Australian individuals aged 70βyears and older. | Yu C et al. | β | 2025 | β |
| Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer's disease. | Rajabli F et al. | β | 2025 | β |
| Multiomics in atherosclerotic cardiovascular disease. | Nordestgaard LT et al. | β | 2025 | β |
| Polygenic Risk for Substance Use Disorders as Predictors of Substance Use Initiation Among African American Youth. | Sosnowski DW et al. | β | 2025 | β |
| Unsupervised Ensemble Learning for Efficient Integration of Pre-trained Polygenic Risk Scores | Gao C et al. | β | 2025 | β |
| Update on the genetics of allergic diseases. | Lawson LP et al. | β | 2025 | β |
| An ensemble penalized regression method for multi-ancestry polygenic risk prediction. | Zhang J et al. | β | 2024 | β |
| Childhood maltreatment and health in the UK Biobank: triangulation of outcome-wide and polygenic risk score analyses. | Espinosa Dice AL et al. | β | 2024 | β |
| Cross-ancestry genetic architecture and prediction for cholesterol traits. | Momin MM et al. | β | 2024 | β |
| Developmental genetic effects on externalizing behavior and alcohol use: Examination across two longitudinal samples. | Elam KK et al. | β | 2024 | β |
| Evaluating and improving health equity and fairness of polygenic scores. | Zhang T et al. | β | 2024 | β |
| Exploring the role of underrepresented populations in polygenic risk scores for neurodegenerative disease risk prediction. | Step K et al. | β | 2024 | β |
| Genetically Predicted Body Mass Index and Mortality in Chronic Obstructive Pulmonary Disease. | Zhang J et al. | β | 2024 | β |
| Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas. | Borda V et al. | β | 2024 | β |
| Genome-wide association study and trans-ethnic meta-analysis identify novel susceptibility loci for type 2 diabetes mellitus. | Elashi AA et al. | β | 2024 | β |
| Improving fine-mapping by modeling infinitesimal effects. | Cui R et al. | β | 2024 | β |
| Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI. | Sun Q et al. | β | 2024 | β |
| Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis. | Ghouse J et al. | β | 2024 | β |
| Methodologies underpinning polygenic risk scores estimation: a comprehensive overview. | Ndong Sima CAA et al. | β | 2024 | β |
| MUSSEL: Enhanced Bayesian polygenic risk prediction leveraging information across multiple ancestry groups. | Jin J et al. | β | 2024 | β |
| Pharmacogenomic scores in psychiatry: systematic review of current evidence. | Sharew NT et al. | β | 2024 | β |
| Polygenic prediction for underrepresented populations through transfer learning by utilizing genetic similarity shared with European populations. | Zhu Y et al. | β | 2024 | β |
| Polygenic risk score portability for common diseases across genetically diverse populations. | Moreno-Grau S et al. | β | 2024 | β |
| Polygenic Risk Scores and Genetically Complex Eye Disease. | Le NQ et al. | β | 2024 | β |
| Principles and methods for transferring polygenic risk scores across global populations. | Kachuri L et al. | β | 2024 | β |
| Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations. | Lennon NJ et al. | β | 2024 | β |
| shaPRS: Leveraging shared genetic effects across traits or ancestries improves accuracy of polygenic scores. | Kelemen M et al. | β | 2024 | β |
| Towards Personalized TSH Reference Ranges: A Genetic and Population-Based Approach in Three Independent Cohorts. | KuΕ A et al. | β | 2024 | β |
| A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction. | Kresoja KP et al. | β | 2023 | β |
| Advances and Applications of Polygenic Scores for Coronary Artery Disease. | Patel AP et al. | β | 2023 | β |
| A gene-environment cascade theoretical framework of developmental psychopathology. | Elam KK et al. | β | 2023 | β |
| Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments. | Busby GB et al. | β | 2023 | β |
| A new method for multiancestry polygenic prediction improves performance across diverse populations. | Zhang H et al. | β | 2023 | β |
| Applying polygenic risk score methods to pharmacogenomics GWAS: challenges and opportunities. | Zhai S et al. | β | 2023 | β |
| Associations between polygenic risk score and covid-19 susceptibility and severity across ethnic groups: UK Biobank analysis. | Farooqi R et al. | β | 2023 | β |
| A Systematic Review and Critical Assessment of Breast Cancer Risk Prediction Tools Incorporating a Polygenic Risk Score for the General Population. | Mbuya-Bienge C et al. | β | 2023 | β |
| Bridging the diversity gap: Analytical and study design considerations for improving the accuracy of trans-ancestry genetic prediction. | Bocher O et al. | β | 2023 | β |
| Can polygenic risk scores help explain disease prevalence differences around the world? A worldwide investigation. | Jain PR et al. | β | 2023 | β |
| Clinical genetic counseling and translation considerations for polygenic scores in personalized risk assessments: A Practice Resource from the National Society of Genetic Counselors. | Wand H et al. | β | 2023 | β |
| Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations. | Thomas M et al. | β | 2023 | β |
| Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry. | Darst BF et al. | β | 2023 | β |
| Evaluating genomic polygenic risk scores for childhood acute lymphoblastic leukemia in Latinos. | Jeon S et al. | β | 2023 | β |
| Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. | Kurniansyah N et al. | β | 2023 | β |
| Genetic heterogeneity in cardiovascular disease across ancestries: Insights for mechanisms and therapeutic intervention. | Soremekun O et al. | β | 2023 | β |
| Genetic Risk, Neighborhood Characteristics, and Behavioral Difficulties Among African American Adolescents Living in Very Low-Income Neighborhoods. | Sterrett-Hong EM et al. | β | 2023 | β |
| Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts. | Wang Y et al. | β | 2023 | β |
| Multi-Omics Studies in Historically Excluded Populations: The Road to Equity. | Yang G et al. | β | 2023 | β |
| Optimal strategies for learning multi-ancestry polygenic scores vary across traits. | Lehmann B et al. | β | 2023 | β |
| Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology. | Wang Y et al. | β | 2023 | β |
| Polygenic risk scores point toward potential genetic mechanisms of type 2 myocardial infarction in people with HIV. | Lee WJ et al. | β | 2023 | β |
| Power of inclusion: Enhancing polygenic prediction with admixed individuals. | Tanigawa Y et al. | β | 2023 | β |
| Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics. | Miao J et al. | β | 2023 | β |
| Are polygenic risk scores ready for the cancer clinic?-a perspective. | Klein RJ et al. | β | 2022 | β |
| Artificial Intelligence and Cardiovascular Genetics. | Krittanawong C et al. | β | 2022 | β |
| Beyond GWAS: from simple associations to functional insights. | Ishigaki K | β | 2022 | β |
| Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores. | Wang Y et al. | β | 2022 | β |
| Clinical utility of polygenic risk scores for coronary artery disease. | Klarin D et al. | β | 2022 | β |
| Computational Models for Clinical Applications in Personalized Medicine-Guidelines and Recommendations for Data Integration and Model Validation. | Collin CB et al. | β | 2022 | β |
| Construction and Application of Polygenic Risk Scores in Autoimmune Diseases. | Khunsriraksakul C et al. | β | 2022 | β |
| Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations. | Ge T et al. | β | 2022 | β |
| Diversity in Polygenic Risk of Primary Open-Angle Glaucoma. | Cooke Bailey JN et al. | β | 2022 | β |
| Evaluating the power and limitations of genome-wide association studies in Caenorhabditis elegans. | Widmayer SJ et al. | β | 2022 | β |
| ExPRSweb: An online repository with polygenic risk scores for common health-related exposures. | Ma Y et al. | β | 2022 | β |
| Gene-based polygenic risk scores analysis of alcohol use disorder in African Americans. | Lai D et al. | β | 2022 | β |
| Gene-by-peer-environment interaction effects on cigarette, alcohol, and marijuana use among US high school students of European Ancestry. | Zheng B et al. | β | 2022 | β |
| Genetic Analysis in African American Children Supports Ancestry-Specific Neuroblastoma Susceptibility. | Testori A et al. | β | 2022 | β |
| Genetic risk scores and dementia risk across different ethnic groups in UK Biobank. | Mukadam N et al. | β | 2022 | β |
| Genetics of common cerebral small vessel disease. | Bordes C et al. | β | 2022 | β |
| Genetics of Type 2 Diabetes: Implications from Large-Scale Studies. | DeForest N et al. | β | 2022 | β |
| Genome-wide risk prediction of common diseases across ancestries in one million people. | Mars N et al. | β | 2022 | β |
| Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits. | Nam K et al. | β | 2022 | β |
| Genotype-environment correlation by intervention effects underlying middle childhood peer rejection and associations with adolescent marijuana use. | Elam KK et al. | β | 2022 | β |
| Glaucoma Genetic Risk Scores in the Million Veteran Program. | Waksmunski AR et al. | β | 2022 | β |
| Importance of Including Non-European Populations in Large Human Genetic Studies to Enhance Precision Medicine. | Ju D et al. | β | 2022 | β |
| Improving polygenic prediction in ancestrally diverse populations. | Ruan Y et al. | β | 2022 | β |
| Improving polygenic prediction with genetically inferred ancestry. | Naret O et al. | β | 2022 | β |
| Incorporating family history of disease improves polygenic risk scores in diverse populations. | Hujoel MLA et al. | β | 2022 | β |
| Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: A population-based cohort study. | Hodgson S et al. | β | 2022 | β |
| Interactions between Genetic, Prenatal, Cortisol, and Parenting Influences on Adolescent Substance Use and Frequency: A TRAILS Study. | Marceau K et al. | β | 2022 | β |
| Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores. | Weissbrod O et al. | β | 2022 | β |
| Longitudinal relationships of polycyclic aromatic hydrocarbons exposure and genetic susceptibility with blood lipid profiles. | Ma J et al. | β | 2022 | β |
| Machine learning for risk stratification in kidney disease. | Gulamali FF et al. | β | 2022 | β |
| Multiancestral polygenic risk score for pediatric asthma. | Namjou B et al. | β | 2022 | β |
| Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis. | Ishigaki K et al. | β | 2022 | β |
| Multiethnic polygenic risk prediction in diverse populations through transfer learning. | Tian P et al. | β | 2022 | β |
| Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyond. | Gaddis N et al. | β | 2022 | β |
| Polygenic Prediction of Type 2 Diabetes in Africa. | Chikowore T et al. | β | 2022 | β |
| Polygenic Risk Score in African populations: progress and challenges. | Adam Y et al. | β | 2022 | β |
| Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association. | O'Sullivan JW et al. | β | 2022 | β |
| Polygenic risk scores for prediction of breast cancer risk in Asian populations. | Ho WK et al. | β | 2022 | β |
| Polygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach. | Gao G et al. | β | 2022 | β |
| Polygenic Risk Scores in Alzheimer's Disease Genetics: Methodology, Applications, Inclusion, and Diversity. | Clark K et al. | β | 2022 | β |
| Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program. | Hu X et al. | β | 2022 | β |
| Population differentiation of polygenic score predictions under stabilizing selection. | Yair S et al. | β | 2022 | β |
| Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort. | PrivΓ© F et al. | β | 2022 | β |
| Proteome-wide Mendelian randomization in global biobank meta-analysis reveals multi-ancestry drug targets for common diseases. | Zhao H et al. | β | 2022 | β |
| Stability of polygenic scores across discovery genome-wide association studies. | Schultz LM et al. | β | 2022 | β |
| Stroke Genetics: Discovery, Insight Into Mechanisms, and Clinical Perspectives. | Debette S et al. | β | 2022 | β |
| The construction of cross-population polygenic risk scores using transfer learning. | Zhao Z et al. | β | 2022 | β |
| Towards a global view of multiple sclerosis genetics. | Jacobs BM et al. | β | 2022 | β |
| Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals. | Huang QQ et al. | β | 2022 | β |
| Transferability of genetic risk scores in African populations. | Kamiza AB et al. | β | 2022 | β |
| Type 1 diabetes in diverse ancestries and the use of genetic risk scores. | Redondo MJ et al. | β | 2022 | β |
| XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis. | Xiao J et al. | β | 2022 | β |
| Admixture Has Shaped Romani Genetic Diversity in Clinically Relevant Variants. | Font-Porterias N et al. | β | 2021 | β |
| A Polygenic Risk Score to Predict Future Adult Short Stature Among Children. | Lu T et al. | β | 2021 | β |
| A systematic review of gene-by-intervention studies of alcohol and other substance use. | Neale ZE et al. | β | 2021 | β |
| Cannabis use in college: Genetic predispositions, peers, and activity participation. | Thomas NS et al. | β | 2021 | β |
| Common and Rare Variant Prediction and Penetrance of IBD in a Large, Multi-ethnic, Health System-based Biobank Cohort. | Gettler K et al. | β | 2021 | β |
| Evaluating marginal genetic correlation of associated loci for complex diseases and traits between European and East Asian populations. | Lu H et al. | β | 2021 | β |
| Evaluating Polygenic Risk Scores for Breast Cancer in Women of African Ancestry. | Du Z et al. | β | 2021 | β |
| Evaluation of Shared Genetic Susceptibility to High and Low Myopia and Hyperopia. | Tideman JWL et al. | β | 2021 | β |
| Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry. | Liu C et al. | β | 2021 | β |
| [Genetic Analyses of Complex Phenotypes Through the Example of Anorexia Nervosa and Bodyweight Regulation]. | Hirtz R et al. | β | 2021 | β |
| Genetic discovery and risk characterization in type 2 diabetes across diverse populations. | Polfus LM et al. | β | 2021 | β |
| Genetic prediction of complex traits with polygenic scores: a statistical review. | Ma Y et al. | β | 2021 | β |
| Genetic Risk Prediction of COVID-19 Susceptibility and Severity in the Indian Population. | Prakrithi P et al. | β | 2021 | β |
| Genome-Wide Approach to Measure Variant-Based Heritability of Drug Outcome Phenotypes. | Muhammad A et al. | β | 2021 | β |
| Genomics of hypertension: the road to precision medicine. | Padmanabhan S et al. | β | 2021 | β |
| Inclusion of variants discovered from diverse populations improves polygenic risk score transferability. | Cavazos TB et al. | β | 2021 | β |
| Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians. | Ji Y et al. | β | 2021 | β |
| Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets. | MΓ‘rquez-Luna C et al. | β | 2021 | β |
| Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction. | AlbiΓ±ana C et al. | β | 2021 | β |
| 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. | β | 2021 | β |
| MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits. | Runcie DE et al. | β | 2021 | β |
| Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis. | Blaser MC et al. | β | 2021 | β |
| Multi-omics approach to precision medicine for immune-mediated diseases. | Ota M et al. | β | 2021 | β |
| New Polygenic Risk Score to Predict High Myopia in Singapore Chinese Children. | Lanca C et al. | β | 2021 | β |
| On cross-ancestry cancer polygenic risk scores. | Fritsche LG et al. | β | 2021 | β |
| 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. | β | 2021 | β |
| Polygenic risk score for alcohol drinking behavior improves prediction of inflammatory bowel disease risk. | Di Narzo AF et al. | β | 2021 | β |
| Polygenic Risk Scores. | Osterman MD et al. | β | 2021 | β |
| Polygenic risk scores: the future of cancer risk prediction, screening, and precision prevention. | Wang Y et al. | β | 2021 | β |
| Population-specific causal disease effect sizes in functionally important regions impacted by selection. | Shi H et al. | β | 2021 | β |
| Populations, Traits, and Their Spatial Structure in Humans. | Sohail M et al. | β | 2021 | β |
| Predicting Multiple Sclerosis: Challenges and Opportunities. | Hone L et al. | β | 2021 | β |
| Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution? | Irving-Pease EK et al. | β | 2021 | β |
| Statistical genetics and polygenic risk score for precision medicine. | Konuma T et al. | β | 2021 | β |
| Statistical models and computational tools for predicting complex traits and diseases. | Chung W | β | 2021 | β |
| The influence of evolutionary history on human health and disease. | Benton ML et al. | β | 2021 | β |
| The omnigenic model and polygenic prediction of complex traits. | Mathieson I | β | 2021 | β |
| The Polygenic and Monogenic Basis of Paediatric Fractures. | Ghatan S et al. | β | 2021 | β |
| Whole-genome sequencing of African Americans implicates differential genetic architecture in inflammatory bowel disease. | Somineni HK et al. | β | 2021 | β |
| Ancestry effects on type 2 diabetes genetic risk inference in Hispanic/Latino populations. | Chande AT et al. | β | 2020 | β |
| Electronic health records and polygenic risk scores for predicting disease risk. | Li R et al. | β | 2020 | β |
| Functionally informed fine-mapping and polygenic localization of complex trait heritability. | Weissbrod O et al. | β | 2020 | β |
| Genetic architecture of cardiometabolic risks in people living with HIV. | Cheng H et al. | β | 2020 | β |
| Genetic liability to major depression and risk of childhood asthma. | Liu X et al. | β | 2020 | β |
| Genetics of kidney traits in worldwide populations: the Continental Origins and Genetic Epidemiology Network (COGENT) Kidney Consortium. | Franceschini N et al. | β | 2020 | β |
| Importance of Genetic Studies of Cardiometabolic Disease in Diverse Populations. | FernΓ‘ndez-Rhodes L et al. | β | 2020 | β |
| Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements. | Amariuta T et al. | β | 2020 | β |
| Localizing Components of Shared Transethnic Genetic Architecture of Complex Traits from GWAS Summary Data. | Shi H et al. | β | 2020 | β |
| Pathways Between a Polygenic Score for Educational Attainment and Higher Educational Attainment in an African American Sample. | Rabinowitz JA et al. | β | 2020 | β |
| Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions. | Fahed AC et al. | β | 2020 | β |
| Polygenic risk scores: from research tools to clinical instruments. | Lewis CM et al. | β | 2020 | β |
| Polygenic Scores for Height in Admixed Populations. | Bitarello BD et al. | β | 2020 | β |
| Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups. | Dikilitas O et al. | β | 2020 | β |
| Serum Urate Polygenic Risk Score Can Improve Gout Risk Prediction: A Large-Scale Cohort Study. | Zhang Y et al. | β | 2020 | β |
| Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations. | Wang Y et al. | β | 2020 | β |
| Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations. | Chen MH et al. | β | 2020 | β |
| Tutorial: a guide to performing polygenic risk score analyses. | Choi SW et al. | β | 2020 | β |
| Understanding polygenic models, their development and the potential application of polygenic scores in healthcare. | Babb de Villiers C et al. | β | 2020 | β |
| Ancestry-specific polygenic scores and SNP heritability of 25(OH)D in African- and European-ancestry populations. | Hatchell KE et al. | β | 2019 | β |
| Comparative genetic architectures of schizophrenia in East Asian and European populations. | Lam M et al. | β | 2019 | β |
| Computational Approaches for Identification of Pleiotropic Biomarker Profiles in Psychiatry. | Cao H et al. | β | 2019 | β |
| Efficient Implementation of Penalized Regression for Genetic Risk Prediction. | PrivΓ© F et al. | β | 2019 | β |
| Generalizing polygenic risk scores from Europeans to Hispanics/Latinos. | Grinde KE et al. | β | 2019 | β |
| Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations. | Peterson RE et al. | β | 2019 | β |
| Genome-wide association study identifies loci associated with liability to alcohol and drug dependence that is associated with variability in reward-related ventral striatum activity in African- and European-Americans. | Wetherill L et al. | β | 2019 | β |
| Genomics of disease risk in globally diverse populations. | Gurdasani D et al. | β | 2019 | β |
| How does race and ethnicity effect the precision treatment of asthma? | Zhang E et al. | β | 2019 | β |
| Polygenic burden in focal and generalized epilepsies. | Leu C et al. | β | 2019 | β |
| Polygenic risk scores in psychiatry: Will they be useful for clinicians? | Fullerton JM et al. | β | 2019 | β |
| Predicting Polygenic Risk of Psychiatric Disorders. | Martin AR et al. | β | 2019 | β |
| PRSice-2: Polygenic Risk Score software for biobank-scale data. | Choi SW et al. | β | 2019 | β |
| Unpacking Genetic Risk Pathways for College Student Alcohol Consumption: The Mediating Role of Impulsivity. | Ksinan AJ et al. | β | 2019 | β |
| Violence exposure in an urban city: A GxE interaction with aggressive and impulsive behaviors. | Musci RJ et al. | β | 2019 | β |
| Deep-coverage whole genome sequences and blood lipids among 16,324 individuals. | Natarajan P et al. | β | 2018 | β |
| Evaluating the genetic susceptibility to peer reported bullying behaviors. | Musci RJ et al. | β | 2018 | β |
| Polygenic risk for Alzheimer's disease influences precuneal volume in two independent general populations. | Li J et al. | β | 2018 | β |
| Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences. | Bogdan R et al. | β | 2018 | β |
| Polygenic Risk Scoring for CoronaryΒ Heart Disease: The First Risk Factor. | Natarajan P | β | 2018 | β |
| Stress-Related Biosocial Mechanisms of Discrimination and African American Health Inequities. | Goosby BJ et al. | β | 2018 | β |
| Using Full Genomic Information to Predict Disease: Breaking Down the Barriers Between Complex and Mendelian Diseases. | Jordan DM et al. | β | 2018 | β |
| Polygenic risk scores for cigarettes smoked per day do not generalize to a Native American population. | Otto JM et al. | β | 2016 | β |