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Copy number variation analysis in the context of electronic medical records and large-scale genomics consortium efforts.

Frontiers in genetics | 2014

The goal of this paper is to review recent research on copy number variations (CNVs) and their association with complex and rare diseases. In the latter part of this paper, we focus on how large biorepositories such as the electronic medical record and genomics (eMERGE) consortium may be best leveraged to systematically mine for potentially pathogenic CNVs, and we end with a discussion of how such variants might be reported back for inclusion in electronic medical records as part of medical history.

Pubmed ID: 24672537 RIS Download

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Associated grants

  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG006375
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG006830

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GWAS: Catalog of Published Genome-Wide Association Studies (tool)

RRID:SCR_012745

Catalog of published genome-wide association studies. Genome-wide set of genetic variants in different individuals to see if any variant is associated with trait and disease. Database of genome-wide association study (GWAS) publications including only those attempting to assay single nucleotide polymorphisms (SNPs). Publications are organized from most to least recent date of publication. Studies are identified through weekly PubMed literature searches, daily NIH-distributed compilations of news and media reports, and occasional comparisons with an existing database of GWAS literature (HuGE Navigator). Works with HANCESTRO ancestry representation.

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