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Yuval B. Simons

Researcher at Stanford University

Publications -  15
Citations -  1103

Yuval B. Simons is an academic researcher from Stanford University. The author has contributed to research in topics: Population & Heritability. The author has an hindex of 6, co-authored 13 publications receiving 942 citations. Previous affiliations of Yuval B. Simons include Weizmann Institute of Science & Hebrew University of Jerusalem.

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A population genetic interpretation of GWAS findings for human quantitative traits.

TL;DR: This work solves the model for the phenotypic distribution and allelic dynamics at steady state and derive robust, closed-form solutions for summary statistics of the genetic architecture of a focal trait that arises under stabilizing selection in a multidimensional trait space.
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The deleterious mutation load is insensitive to recent population history

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.
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The deleterious mutation load is insensitive to recent population history

TL;DR: It is shown that for many diseases, 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, however, for those diseases that have a direct impact on fitness, strongly deleterious rare mutations probably do have an important role, and recent growth will have increased their impact.
Posted Content

A model for the genetic architecture of quantitative traits under stabilizing selection

TL;DR: The results suggest that the distribution of genetic variance among the loci discovered in GWAS take a simple form that depends on one evolutionary parameter, and provide a simple interpretation for missing heritability and why it varies among traits.
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The impact of recent population history on the deleterious mutation load in humans and close evolutionary relatives.

TL;DR: It is argued that when statistics more directly related to load are used, the results of different studies and data sets consistently reveal little or no difference in the load of non-synonymous mutations among human populations.