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Rasika A. Mathias

Researcher at Johns Hopkins University

Publications -  283
Citations -  31545

Rasika A. Mathias is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 57, co-authored 239 publications receiving 22865 citations. Previous affiliations of Rasika A. Mathias include Johns Hopkins University School of Medicine & University of California, San Francisco.

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A global reference for human genetic variation.

Adam Auton, +517 more
- 01 Oct 2015 - 
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.

A global reference for human genetic variation

Adam Auton, +479 more
TL;DR: The 1000 Genomes Project as mentioned in this paper provided a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and reported the completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole genome sequencing, deep exome sequencing and dense microarray genotyping.
Journal ArticleDOI

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.
Journal ArticleDOI

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.