An atlas of genetic associations in UK Biobank
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics
Link
http://www.nature.com/articles/s41588-018-0248-z.pdf
Reference21 articles.
1. Falconer, D. S. & Mackay, T. F. C. Introduction to Quantitative Genetics (Longman, Harlow, 1996).
2. Sudlow, C. et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12, e1001779 (2015).
3. Canela-Xandri, O., Law, A., Gray, A., Woolliams, J. A. & Tenesa, A. A new tool called DISSECT for analysing large genomic data sets using a Big Data approach. Nat. Commun. 6, 10162 (2015).
4. Loh, P.-R., Kichaev, G., Gazal, S., Schoech, A. P. & Price, A. L. Mixed-model association for biobank-scale datasets. Nat. Genet. 50, 906–908 (2018).
5. McCarthy, S. et al. A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 48, 1279–1283 (2016).
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