Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis

Population structure can bias the results of genetic and epidemiological analysis. Here, Haworth et al. report that fine-scale structure is detectable in apparently homogeneous samples such as ALSPAC when measured very precisely, and remains detectable in UK Biobank despite conventional approaches t...

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Main Authors:	Simon Haworth, Ruth Mitchell, Laura Corbin, Kaitlin H. Wade, Tom Dudding, Ashley Budu-Aggrey, David Carslake, Gibran Hemani, Lavinia Paternoster, George Davey Smith, Neil Davies, Daniel J. Lawson, Nicholas J. Timpson
Format:	Article
Language:	English
Published:	Nature Publishing Group 2019-01-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-018-08219-1

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spelling	doaj-019488528e71499c94f143f53d999f6f2021-05-11T12:31:51ZengNature Publishing GroupNature Communications2041-17232019-01-011011910.1038/s41467-018-08219-1Apparent latent structure within the UK Biobank sample has implications for epidemiological analysisSimon Haworth0Ruth Mitchell1Laura Corbin2Kaitlin H. Wade3Tom Dudding4Ashley Budu-Aggrey5David Carslake6Gibran Hemani7Lavinia Paternoster8George Davey Smith9Neil Davies10Daniel J. Lawson11Nicholas J. Timpson12Medical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolMedical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of BristolPopulation structure can bias the results of genetic and epidemiological analysis. Here, Haworth et al. report that fine-scale structure is detectable in apparently homogeneous samples such as ALSPAC when measured very precisely, and remains detectable in UK Biobank despite conventional approaches to account for it.https://doi.org/10.1038/s41467-018-08219-1
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Simon Haworth Ruth Mitchell Laura Corbin Kaitlin H. Wade Tom Dudding Ashley Budu-Aggrey David Carslake Gibran Hemani Lavinia Paternoster George Davey Smith Neil Davies Daniel J. Lawson Nicholas J. Timpson
spellingShingle	Simon Haworth Ruth Mitchell Laura Corbin Kaitlin H. Wade Tom Dudding Ashley Budu-Aggrey David Carslake Gibran Hemani Lavinia Paternoster George Davey Smith Neil Davies Daniel J. Lawson Nicholas J. Timpson Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis Nature Communications
author_facet	Simon Haworth Ruth Mitchell Laura Corbin Kaitlin H. Wade Tom Dudding Ashley Budu-Aggrey David Carslake Gibran Hemani Lavinia Paternoster George Davey Smith Neil Davies Daniel J. Lawson Nicholas J. Timpson
author_sort	Simon Haworth
title	Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis
title_short	Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis
title_full	Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis
title_fullStr	Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis
title_full_unstemmed	Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis
title_sort	apparent latent structure within the uk biobank sample has implications for epidemiological analysis
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2019-01-01
description	Population structure can bias the results of genetic and epidemiological analysis. Here, Haworth et al. report that fine-scale structure is detectable in apparently homogeneous samples such as ALSPAC when measured very precisely, and remains detectable in UK Biobank despite conventional approaches to account for it.
url	https://doi.org/10.1038/s41467-018-08219-1
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Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis

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