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David Altshuler

Researcher at University of Michigan

Publications -  353
Citations -  226195

David Altshuler 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 162, co-authored 345 publications receiving 201782 citations. Previous affiliations of David Altshuler include Vertex Pharmaceuticals & Massachusetts Institute of Technology.

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Genome-wide meta-analyses identify multiple loci associated with smoking behavior

Helena Furberg, +123 more
- 01 May 2010 - 
TL;DR: A meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium found the strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3, and three loci associated with number of cigarettes smoked per day were identified.
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Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants.

Sekar Kathiresan, +118 more
- 08 Feb 2009 - 
TL;DR: SNPs at nine loci were reproducibly associated with myocardial infarction, but tests of common and rare CNVs failed to identify additional associations with my Cardiovascular Infarction risk.
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Positive Natural Selection in the Human Lineage

Pardis C. Sabeti, +9 more
- 16 Jun 2006 - 
TL;DR: The authors reviewed approaches to detect positive natural selection in humans, described results from recent analyses of genome-wide data, and discuss the prospects and challenges ahead as we expand our understanding of the role of natural selection on shaping the human genome.
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Integrated detection and population-genetic analysis of SNPs and copy number variation

Steven A. McCarroll, +27 more
- 01 Oct 2008 - 
TL;DR: A map of human CNV (at 2-kb breakpoint resolution) informed by integer genotypes for 1,320 copy number polymorphisms (CNPs) that segregate at an allele frequency >1% is developed, indicating that large (>100 kb) CNVs affect much less of the genome than initially reported.
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Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

Anubha Mahajan, +395 more
- 01 Mar 2014 - 
TL;DR: In this paper, the authors aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry.