A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog-Reference-Cited by-同舟云学术

A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog

Published:2018-02-15 Issue:1 Volume:19 Page:
ISSN:1474-760X
Container-title:Genome Biology
language:en
Short-container-title:Genome Biol

Author:

Morales Joannella^ORCID,Welter Danielle,Bowler Emily H.,Cerezo Maria,Harris Laura W.,McMahon Aoife C.,Hall Peggy,Junkins Heather A.,Milano Annalisa,Hastings Emma,Malangone Cinzia,Buniello Annalisa,Burdett Tony,Flicek Paul,Parkinson Helen,Cunningham Fiona,Hindorff Lucia A.,MacArthur Jacqueline A. L.

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/s13059-018-1396-2.pdf

Reference35 articles.

1. Need AC, Goldstein DB. Next generation disparities in human genomics: concerns and remedies. Trends Genet. 2009;25:489–94.

2. Popejoy AB, Fullerton SM. Genomics is failing on diversity. Nature. 2016;538:161–4.

3. MacArthur J, Bowler E, Cerezo M, Gil L, Hall P, Hastings E, et al. The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog). Nucleic Acids Res. 2017;45:D896–901.

4. GWAS Catalog. http://www.ebi.ac.uk/gwas/ . Accessed 4 Aug 2017.

5. Welter D, MacArthur J, Morales J, Burdett T, Hall P, Junkins H, et al. The NHGRI GWAS Catalog, a curated resource of SNP-trait associations. Nucleic Acids Res. 2014;42:D1001–6.

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