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Adam Auton

Researcher at Albert Einstein College of Medicine

Publications -  109
Citations -  65100

Adam Auton is an academic researcher from Albert Einstein College of Medicine. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 47, co-authored 94 publications receiving 51799 citations. Previous affiliations of Adam Auton include Broad Institute & Cornell University.

Papers
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Journal ArticleDOI

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Aysu Okbay, +294 more
- 31 Mar 2022 - 
TL;DR: This paper conducted a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identified 3,952 approximately uncorrelated single-nucleotide polymorphisms (SNPs).
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Mobile elements drive recombination hotspots in the core genome of Staphylococcus aureus

Richard G. Everitt, +27 more
- 23 May 2014 - 
TL;DR: Widespread homologous recombination is revealed in S. aureus at the species level, in contrast to its near-complete absence between closely related strains, and a patchwork of hotspots and coldspots at fine scales falling against a backdrop of broad-scale trends in rate variation are discovered.
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Population Genetic Inference from Personal Genome Data: Impact of Ancestry and Admixture on Human Genomic Variation

Jeffrey M. Kidd, +33 more
- 05 Oct 2012 - 
TL;DR: A systematic analysis of 50 human genomes from 11 diverse global populations sequenced at high coverage identifies subtle variations across populations in the proportion of neutral versus deleterious variation and finds that genome-wide statistics vary in admixed populations even once ancestry proportions have been factored in.
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A saturated map of common genetic variants associated with human height

Loic Yengo, +617 more
- 10 Jan 2022 - 
TL;DR: In this article , the authors show that common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes.
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Genetic analyses identify widespread sex-differential participation bias

Nicola Pirastu, +41 more
- 22 Apr 2021 - 
TL;DR: In this paper, the authors demonstrate that it is possible to estimate comparative biases by performing a genome-wide association study contrasting one subgroup versus another, showing that sex exhibits artifactual heritability in the presence of sex-differential participation bias.