scispace - formally typeset
M

Michael C. Turchin

Researcher at Brown University

Publications -  20
Citations -  4938

Michael C. Turchin is an academic researcher from Brown University. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 11, co-authored 18 publications receiving 4645 citations. Previous affiliations of Michael C. Turchin include Icahn School of Medicine at Mount Sinai & Harvard University.

Papers
More filters
Journal ArticleDOI

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen, +344 more
- 14 Oct 2010 - 
TL;DR: It is shown that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait, and indicates that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen, +289 more
TL;DR: In this paper, the authors show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait, revealing patterns with important implications for genetic studies of common human diseases and traits.
Journal ArticleDOI

Evidence of widespread selection on standing variation in Europe at height-associated SNPs

Michael C. Turchin, +7 more
- 01 Sep 2012 - 
TL;DR: By studying height, a classic polygenic trait, this work demonstrates the first human signature of widespread selection on standing variation, and shows that frequencies of alleles associated with increased height are systematically elevated in Northern Europeans compared with Southern Europeans.
Journal ArticleDOI

Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies

Mashaal Sohail, +24 more
- 21 Mar 2019 - 
TL;DR: It is shown that polygenic adaptation signals based on large numbers of SNPs below genome-wide significance are extremely sensitive to biases due to uncorrected population stratification and that population-level differences should be interpreted with caution.
Journal ArticleDOI

The deleterious mutation load is insensitive to recent population history

Yuval B. Simons, +3 more
- 01 Mar 2014 - 
TL;DR: In this paper, the authors use population genetic models to show that recent human demography has probably had little impact on the average burden of deleterious mutations, and they further show that rare alleles are unlikely to contribute a large fraction of the heritable variation, and therefore the impact of recent growth is likely to be modest.