scispace - formally typeset
G

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.

Papers
More filters
Journal ArticleDOI

AbCD: arbitrary coverage design for sequencing-based genetic studies

TL;DR: AbCD (arbitrary coverage design) is a user-friendly interface providing pre-estimated effective sample sizes, specific to each minor allele frequency category, for designs with arbitrary coverage and sample size and for four major ethnic groups (Europeans, Africans, Asians and African Americans).
Posted ContentDOI

Genome-wide association study of 1 million people identifies 111 loci for atrial fibrillation

TL;DR: Experiments in rabbits with heart failure and left atrial dilation identified a heterogeneous distributed molecular switch from MYH6 to MYH7 in the left atrium, which resulted in contractile and functional heterogeneity and may predispose to initiation and maintenance of atrial arrhythmia.
Journal ArticleDOI

Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program

Brian E. Cade, +51 more
- 26 Aug 2021 - 
TL;DR: The first whole-genome sequence analysis of SDB highlighted associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis and HIF1A-mediated hypoxic response.
Journal ArticleDOI

Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data.

TL;DR: Although distance-based aggregation of less frequent variants in CR ARE surrounding TSS showed modest enrichment, future association studies would likely benefit from joint analysis of transcriptomes and epigenomes to better link regulatory variation with target genes.