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Gonçalo R. Abecasis

Researcher at University of Michigan

Publications -  629
Citations -  271012

Gonçalo R. Abecasis is an academic researcher from University of Michigan. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 179, co-authored 595 publications receiving 230323 citations. Previous affiliations of Gonçalo R. Abecasis include Johns Hopkins University School of Medicine & Wellcome Trust Centre for Human Genetics.

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A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape

Janina S. Ried, +330 more
TL;DR: In this paper, the authors examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits, and identified six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AVPC3, and ARL15 and ANP32 for Avpc4.
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An efficient comprehensive search algorithm for tagSNP selection using linkage disequilibrium criteria

TL;DR: An improved algorithm for tagSNP selection using the pairwise r(2) criterion is devised, which first break down large marker sets into disjoint pieces, where more exhaustive searches can replace the greedy algorithm.
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A common biological basis of obesity and nicotine addiction

Thorgeir E. Thorgeirsson, +316 more
TL;DR: The results strongly point to a common biological basis of the regulation of theregulation of the authors' appetite for tobacco and food, and thus the vulnerability to nicotine addiction and obesity, and the effect of single-nucleotide polymorphisms affecting body mass index (BMI).
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Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease

Julie Horowitz, +147 more
- 03 Mar 2022 - 
TL;DR: In this article , the authors identify a variant (rs190509934, minor allele frequency 0.2-2%) that downregulates ACE2 expression by 37% and reduces the risk of SARS-CoV-2 infection by 40% (odds ratio = 0.60, P = 4.5 × 10 − 13 ).