ArticleAmerican journal of human genetics2015
Leveraging Multi-ethnic Evidence for Mapping Complex Traits in Minority Populations: An Empirical Bayes Approach.
Article in American journal of human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- An empirical Bayes approach to improving population-specific genetic association estimation by leveraging cross-population data.Genetic epidemiology · 2023Pooled it
- Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians.Genetic epidemiology · 2021Pooled it
- Heritability of blood pressure traits in diverse populations: a systematic review and meta-analysis.Journal of human hypertension · 2019Pooled it
- An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations.PLoS genetics · 2018Pooled it
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Similarity and diversity of genetic architecture for complex traits between East Asian and European populations.BMC genomics · 2023Article
- A Prism Vote method for individualized risk prediction of traits in genotype data of Multi-population.PLoS genetics · 2022Article
- Detecting associated genes for complex traits shared across East Asian and European populations under the framework of composite null hypothesis testing.Journal of translational medicine · 2022Article
- Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association.Circulation · 2022Review
- Large-scale genome-wide association study of coronary artery disease in genetically diverse populations.Nature medicine · 2022Article
- Evaluating the estimation of genetic correlation and heritability using summary statistics.Molecular genetics and genomics : MGG · 2021Article
- Evaluating marginal genetic correlation of associated loci for complex diseases and traits between European and East Asian populations.Human genetics · 2021Article
- Advances and challenges in quantitative delineation of the genetic architecture of complex traits.Quantitative biology (Beijing, China) · 2021Article
- Estimating cross-population genetic correlations of causal effect sizes.Genetic epidemiology · 2019Article
- Article
- Leveraging Multi-ethnic Evidence for Risk Assessment of Quantitative Traits in Minority Populations.American journal of human genetics · 2017Article
- Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis.Nature genetics · 2017Article
- Transethnic Genetic-Correlation Estimates from Summary Statistics.American journal of human genetics · 2016Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
Abstract
Elucidating the genetic basis of complex traits and diseases in non-European populations is particularly challenging because US minority populations have been under-represented in genetic association studies. We developed an empirical Bayes approach named XPEB (cross-population empirical Bayes), designed to improve the power for mapping complex-trait-associated loci in a minority population by exploiting information from genome-wide association studies (GWASs) from another ethnic population. Taking as input summary statistics from two GWASs-a target GWAS from an ethnic minority population of primary interest and an auxiliary base GWAS (such as a larger GWAS in Europeans)-our XPEB approach reprioritizes SNPs in the target population to compute local false-discovery rates. We demonstrated, through simulations, that whenever the base GWAS harbors relevant information, XPEB gains efficiency. Moreover, XPEB has the ability to discard irrelevant auxiliary information, providing a safeguard against inflated false-discovery rates due to genetic heterogeneity between populations. Applied to a blood-lipids study in African Americans, XPEB more than quadrupled the discoveries from the conventional approach, which used a target GWAS alone, bringing the number of significant loci from 14 to 65. Thus, XPEB offers a flexible framework for mapping complex traits in minority populations.
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