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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2019-01-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-018-08219-1 |
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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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