ArticleAmerican journal of human genetics2016
Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia.
Article in American journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers, 10 of them syntheses that pooled it.
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Who cites it
239 citing papers in PubMed, 10 syntheses or guidelines pooled it, 450 citations in OpenAlex.
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- Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals.Nature medicine · 2023Pooled it
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- Large trans-ethnic meta-analysis identifies AKR1C4 as a novel gene associated with age at menarche.Human reproduction (Oxford, England) · 2021Pooled it
- Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts.Nature communications · 2021Pooled it
- Risk variants and polygenic architecture of disruptive behavior disorders in the context of attention-deficit/hyperactivity disorder.Nature communications · 2021Pooled it
- A large-scale genome-wide association study meta-analysis of cannabis use disorder.The lancet. Psychiatry · 2020Pooled it
- Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits.Nature neuroscience · 2020Pooled it
- Genome-wide association study identifies 14 previously unreported susceptibility loci for adolescent idiopathic scoliosis in Japanese.Nature communications · 2019Pooled it
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- Integrating social determinants of health and genetic risk in disease risk models.American journal of human genetics · 2026Article
- Association and risk prediction of 19 complex diseases with polygenic scores and socioeconomic status.Communications medicine · 2026Article
- Genome-Wide Population Structure of Lake Whitefish (Evolutionary applications · 2026Article
- Extensive variation between chromosomes of North American and European hop.Nature communications · 2026Article
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- Dynamic Fusion of Genomics and Functional Network Connectivity in UK Biobank Reveals Schizophrenia-Related SNP Manifolds.Human brain mapping · 2026Article
- General, orders-of-magnitude faster whole-genome analysis with genotype representation graphs.bioRxiv : the preprint server for biology · 2026Article
179 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Searching for genetic variants with unusual differentiation between subpopulations is an established approach for identifying signals of natural selection. However, existing methods generally require discrete subpopulations. We introduce a method that infers selection using principal components (PCs) by identifying variants whose differentiation along top PCs is significantly greater than the null distribution of genetic drift. To enable the application of this method to large datasets, we developed the FastPCA software, which employs recent advances in random matrix theory to accurately approximate top PCs while reducing time and memory cost from quadratic to linear in the number of individuals, a computational improvement of many orders of magnitude. We apply FastPCA to a cohort of 54,734 European Americans, identifying 5 distinct subpopulations spanning the top 4 PCs. Using the PC-based test for natural selection, we replicate previously known selected loci and identify three new genome-wide significant signals of selection, including selection in Europeans at ADH1B. The coding variant rs1229984(∗)T has previously been associated to a decreased risk of alcoholism and shown to be under selection in East Asians; we show that it is a rare example of independent evolution on two continents. We also detect selection signals at IGFBP3 and IGH, which have also previously been associated to human disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.