Population-specific genetic variation in large sequencing data sets: why more data is still better-Reference-Cited by-同舟云学术

Population-specific genetic variation in large sequencing data sets: why more data is still better

Published:2017-07-19 Issue:10 Volume:25 Page:1173-1175
ISSN:1018-4813
Container-title:European Journal of Human Genetics
language:en
Short-container-title:Eur J Hum Genet

Author:

van Rooij Jeroen G J,Jhamai Mila,Arp Pascal P,Nouwens Stephan C A,Verkerk Marijn^ORCID,Hofman Albert,Ikram M Arfan^ORCID,Verkerk Annemieke J,van Meurs Joyce B J,Rivadeneira Fernando^ORCID,Uitterlinden André G,Kraaij Robert

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://www.nature.com/articles/ejhg2017110.pdf

Reference13 articles.

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2. Tennessen JA, Bigham AW, O'Connor TD, Fu W, Kenny EE, Gravel S et al: Evolution and functional impact of rare coding variation from deep sequencing of human exomes. Science 2012; 337: 64–69.

3. Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T et al: Analysis of protein-coding genetic variation in 60,706 humans. Nature 2016; 536: 285–291.

4. UK10K WTSI, Hinxton, UK. Available at: http://www.uk10k.org [june-2015].

5. Lim ET, Wurtz P, Havulinna AS, Palta P, Tukiainen T, Rehnstrom K et al: Distribution and medical impact of loss-of-function variants in the Finnish founder population. PLoS Genet 2014; 10: e1004494.

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