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

Statistical fine-mapping to pinpoint likely causal variants in a genomic region is complicated by linkage disequilibrium (LD). Here, Asimit et al. compare stepwise and stochastic approaches to fine-mapping and propose a Bayesian multinomial stochastic search method which they apply to six immune-med...

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Autores principales:	Jennifer L. Asimit, Daniel B. Rainbow, Mary D. Fortune, Nastasiya F. Grinberg, Linda S. Wicker, Chris Wallace
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/21925d81eaac4ea7a5a05ceb32998ec2
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spelling	oai:doaj.org-article:21925d81eaac4ea7a5a05ceb32998ec22021-12-02T17:01:45ZStochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases10.1038/s41467-019-11271-02041-1723https://doaj.org/article/21925d81eaac4ea7a5a05ceb32998ec22019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11271-0https://doaj.org/toc/2041-1723Statistical fine-mapping to pinpoint likely causal variants in a genomic region is complicated by linkage disequilibrium (LD). Here, Asimit et al. compare stepwise and stochastic approaches to fine-mapping and propose a Bayesian multinomial stochastic search method which they apply to six immune-mediated diseases.Jennifer L. AsimitDaniel B. RainbowMary D. FortuneNastasiya F. GrinbergLinda S. WickerChris WallaceNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-15 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jennifer L. Asimit Daniel B. Rainbow Mary D. Fortune Nastasiya F. Grinberg Linda S. Wicker Chris Wallace Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases
description	Statistical fine-mapping to pinpoint likely causal variants in a genomic region is complicated by linkage disequilibrium (LD). Here, Asimit et al. compare stepwise and stochastic approaches to fine-mapping and propose a Bayesian multinomial stochastic search method which they apply to six immune-mediated diseases.
format	article
author	Jennifer L. Asimit Daniel B. Rainbow Mary D. Fortune Nastasiya F. Grinberg Linda S. Wicker Chris Wallace
author_facet	Jennifer L. Asimit Daniel B. Rainbow Mary D. Fortune Nastasiya F. Grinberg Linda S. Wicker Chris Wallace
author_sort	Jennifer L. Asimit
title	Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases
title_short	Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases
title_full	Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases
title_fullStr	Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases
title_full_unstemmed	Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases
title_sort	stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/21925d81eaac4ea7a5a05ceb32998ec2
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Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases

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