Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases-Reference-Cited by-同舟云学术

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Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases

Published:2019-07-19 Issue:1 Volume:10 Page:
ISSN:2041-1723
Container-title:Nature Communications
language:en
Short-container-title:Nat Commun

Author:

Asimit Jennifer L.^ORCID,Rainbow Daniel B.^ORCID,Fortune Mary D.^ORCID,Grinberg Nastasiya F.^ORCID,Wicker Linda S.^ORCID,Wallace Chris^ORCID

Funder

RCUK | Medical Research Council

Wellcome Trust

JDRF

National Institute for Health Research Cambridge Biomedical Research Centre

Dementia Platforms UK

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

Link

http://www.nature.com/articles/s41467-019-11271-0.pdf

Reference41 articles.

1. Fortune, M. D. et al. Statistical colocalization of genetic risk variants for related autoimmune diseases in the context of common controls. Nat. Genet. https://doi.org/10.1038/ng.3330 (2015).

2. Cotsapas, C. et al. Pervasive sharing of genetic effects in autoimmune disease. PLoS Genet. 7, e1002254 (2011).

3. Spain, S. L. & Barrett, J. C. Strategies for fine-mapping complex traits. Hum. Mol. Genet. 24, R111–R119 (2015).

4. Yang, J. et al. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nat. Genet. 44, 369–75, S1–3 (2012).

5. Cordell, H. J. & Clayton, D. G. A unified stepwise regression procedure for evaluating the relative effects of polymorphisms within a gene using case/control or family data: application to HLA in type 1 diabetes. Am. J. Hum. Genet. 70, 124–141 (2002).

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