Estimating disease prevalence in large datasets using genetic risk scores

Estimating disease prevalence in biobanks is prone to error, especially for self-reported traits. Here, the authors propose a method to estimate the prevalence of a disease within a cohort based on genetic risk scores.

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Autores principales:	Benjamin D. Evans, Piotr Słowiński, Andrew T. Hattersley, Samuel E. Jones, Seth Sharp, Robert A. Kimmitt, Michael N. Weedon, Richard A. Oram, Krasimira Tsaneva-Atanasova, Nicholas J. Thomas
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d91ce2dcd1724d8bbce7c764767dfff3
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spelling	oai:doaj.org-article:d91ce2dcd1724d8bbce7c764767dfff32021-11-14T12:36:52ZEstimating disease prevalence in large datasets using genetic risk scores10.1038/s41467-021-26501-72041-1723https://doaj.org/article/d91ce2dcd1724d8bbce7c764767dfff32021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26501-7https://doaj.org/toc/2041-1723Estimating disease prevalence in biobanks is prone to error, especially for self-reported traits. Here, the authors propose a method to estimate the prevalence of a disease within a cohort based on genetic risk scores.Benjamin D. EvansPiotr SłowińskiAndrew T. HattersleySamuel E. JonesSeth SharpRobert A. KimmittMichael N. WeedonRichard A. OramKrasimira Tsaneva-AtanasovaNicholas J. ThomasNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Benjamin D. Evans Piotr Słowiński Andrew T. Hattersley Samuel E. Jones Seth Sharp Robert A. Kimmitt Michael N. Weedon Richard A. Oram Krasimira Tsaneva-Atanasova Nicholas J. Thomas Estimating disease prevalence in large datasets using genetic risk scores
description	Estimating disease prevalence in biobanks is prone to error, especially for self-reported traits. Here, the authors propose a method to estimate the prevalence of a disease within a cohort based on genetic risk scores.
format	article
author	Benjamin D. Evans Piotr Słowiński Andrew T. Hattersley Samuel E. Jones Seth Sharp Robert A. Kimmitt Michael N. Weedon Richard A. Oram Krasimira Tsaneva-Atanasova Nicholas J. Thomas
author_facet	Benjamin D. Evans Piotr Słowiński Andrew T. Hattersley Samuel E. Jones Seth Sharp Robert A. Kimmitt Michael N. Weedon Richard A. Oram Krasimira Tsaneva-Atanasova Nicholas J. Thomas
author_sort	Benjamin D. Evans
title	Estimating disease prevalence in large datasets using genetic risk scores
title_short	Estimating disease prevalence in large datasets using genetic risk scores
title_full	Estimating disease prevalence in large datasets using genetic risk scores
title_fullStr	Estimating disease prevalence in large datasets using genetic risk scores
title_full_unstemmed	Estimating disease prevalence in large datasets using genetic risk scores
title_sort	estimating disease prevalence in large datasets using genetic risk scores
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d91ce2dcd1724d8bbce7c764767dfff3
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Estimating disease prevalence in large datasets using genetic risk scores

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