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Ryan D. Hernandez

Researcher at McGill University

Publications -  105
Citations -  32798

Ryan D. Hernandez is an academic researcher from McGill University. The author has contributed to research in topics: Population & Genetic variation. The author has an hindex of 44, co-authored 102 publications receiving 24574 citations. Previous affiliations of Ryan D. Hernandez include Rockefeller University & Johns Hopkins University.

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Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

Daniel Taliun, +205 more
- 10 Feb 2021 - 
TL;DR: The Trans-Omics for Precision Medicine (TOPMed) project as discussed by the authors aims to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases.
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Natural selection on protein-coding genes in the human genome

TL;DR: Comparisons of DNA polymorphism within species to divergence between species enables the discovery of molecular adaptation in evolutionarily constrained genes as well as the differentiation of weak from strong purifying selection, and finds strong evidence that natural selection has shaped the recent molecular evolution of the authors' species.
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Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations

Dara G. Torgerson, +79 more
- 01 Sep 2011 - 
TL;DR: The results suggest that some asthma susceptibility loci are robust to differences in ancestry when sufficiently large samples sizes are investigated, and that ancestry-specific associations also contribute to the complex genetic architecture of asthma.
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Genome-Wide Survey of SNP Variation Uncovers the Genetic Structure of Cattle Breeds

Richard A. Gibbs, +103 more
- 24 Apr 2009 - 
TL;DR: Data show that cattle have undergone a rapid recent decrease in effective population size from a very large ancestral population, possibly due to bottlenecks associated with domestication, selection, and breed formation.
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Assessing the Evolutionary Impact of Amino Acid Mutations in the Human Genome

TL;DR: The analysis predicts that many of the alleles identified via whole-genome association mapping may be selectively neutral or (formerly) positively selected, implying that deleterious genetic variation affecting disease phenotype may be missed by this widely used approach for mapping genes underlying complex traits.