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The effect of genome-wide association scan quality control on imputation outcome for common variants

The effect of genome-wide association scan quality control on imputation outcome for common variants
The effect of genome-wide association scan quality control on imputation outcome for common variants
Imputation is an extremely valuable tool in conducting and synthesising genome-wide association studies (GWASs). Directly typed SNP quality control (QC) is thought to affect imputation quality. It is, therefore, common practise to use quality-controlled (QCed) data as an input for imputing genotypes. This study aims to determine the effect of commonly applied QC steps on imputation outcomes. We performed several iterations of imputing SNPs across chromosome 22 in a dataset consisting of 3177 samples with Illumina 610k (Illumina, San Diego, CA, USA) GWAS data, applying different QC steps each time. The imputed genotypes were compared with the directly typed genotypes. In addition, we investigated the correlation between alternatively QCed data. We also applied a series of post-imputation QC steps balancing elimination of poorly imputed SNPs and information loss. We found that the difference between the unQCed data and the fully QCed data on imputation outcome was minimal. Our study shows that imputation of common variants is generally very accurate and robust to GWAS QC, which is not a major factor affecting imputation outcome. A minority of common-frequency SNPs with particular properties cannot be accurately imputed regardless of QC stringency. These findings may not generalise to the imputation of low frequency and rare variants.

genome-wide association study, imputation, quality control, single nucleotide polymorphism
1018-4813
610-614
Southam, Lorraine
93ceaec8-5623-4384-8e04-3c6d908cdbb6
Panoutsopoulou, Kalliope
10107d25-5115-4fa8-b1f7-cb5952f6c049
Rayner, N. William
1ffab8dc-cb43-463c-b0ea-c744663e8c1f
Chapman, Kay
073e2671-da99-4a21-a791-fceb756033bb
Durrant, Caroline
1991cb28-8e13-4d44-bde9-34782bcac00a
Ferreira, Teresa
16cd669d-aa04-4e9d-8879-38ad45a4991b
Arden, Nigel
23af958d-835c-4d79-be54-4bbe4c68077f
Carr, Andrew
8f4a925e-2ab3-4f0c-ba96-0be6855f1679
Deloukas, Panos
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Doherty, Michael
ab3e38b1-4e66-48b0-ae34-ec710c4fce2c
Loughlin, John
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McCaskie, Andrew
c1c3c641-a97a-4e68-a8a5-386a22834281
Ollier, William E.R.
c6f95f06-2fc9-4c4d-b23d-36d28500a76b
Ralston, Stuart
dc5e2164-f103-4681-9e1d-2ac681771d69
Spector, Timothy D.
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Valdes, Ana M.
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Wallis, Gillian A.
1c14d87a-62e7-49a0-89b2-6625344ec491
Wilkinson, J. Mark
744255c1-7fc8-4dd6-96f6-156035681e96
Marchini, Jonathan
e98649d0-f4b6-4295-80e2-2eee6a97fc4e
Zeggini, Eleftherria
2db22337-5efa-4d2f-9b31-67dc02b645ab
arcOGEN Consortium
Southam, Lorraine
93ceaec8-5623-4384-8e04-3c6d908cdbb6
Panoutsopoulou, Kalliope
10107d25-5115-4fa8-b1f7-cb5952f6c049
Rayner, N. William
1ffab8dc-cb43-463c-b0ea-c744663e8c1f
Chapman, Kay
073e2671-da99-4a21-a791-fceb756033bb
Durrant, Caroline
1991cb28-8e13-4d44-bde9-34782bcac00a
Ferreira, Teresa
16cd669d-aa04-4e9d-8879-38ad45a4991b
Arden, Nigel
23af958d-835c-4d79-be54-4bbe4c68077f
Carr, Andrew
8f4a925e-2ab3-4f0c-ba96-0be6855f1679
Deloukas, Panos
f8c385df-85e0-4769-9a5b-aaf03ec01d1f
Doherty, Michael
ab3e38b1-4e66-48b0-ae34-ec710c4fce2c
Loughlin, John
8f43799a-8aa2-474a-b396-fe980eb72ba5
McCaskie, Andrew
c1c3c641-a97a-4e68-a8a5-386a22834281
Ollier, William E.R.
c6f95f06-2fc9-4c4d-b23d-36d28500a76b
Ralston, Stuart
dc5e2164-f103-4681-9e1d-2ac681771d69
Spector, Timothy D.
a60c3efb-6833-43f0-bfaa-f39466f1f0eb
Valdes, Ana M.
4e4c3f14-3895-4129-94ca-f4176dd83e94
Wallis, Gillian A.
1c14d87a-62e7-49a0-89b2-6625344ec491
Wilkinson, J. Mark
744255c1-7fc8-4dd6-96f6-156035681e96
Marchini, Jonathan
e98649d0-f4b6-4295-80e2-2eee6a97fc4e
Zeggini, Eleftherria
2db22337-5efa-4d2f-9b31-67dc02b645ab

Southam, Lorraine, Panoutsopoulou, Kalliope, Rayner, N. William, Chapman, Kay, Durrant, Caroline, Ferreira, Teresa, Arden, Nigel, Carr, Andrew, Deloukas, Panos, Doherty, Michael, Loughlin, John, McCaskie, Andrew, Ollier, William E.R., Ralston, Stuart, Spector, Timothy D., Valdes, Ana M., Wallis, Gillian A., Wilkinson, J. Mark, Marchini, Jonathan and Zeggini, Eleftherria , arcOGEN Consortium (2011) The effect of genome-wide association scan quality control on imputation outcome for common variants. European Journal of Human Genetics, 19 (5), 610-614. (doi:10.1038/ejhg.2010.242). (PMID:21267008)

Record type: Article

Abstract

Imputation is an extremely valuable tool in conducting and synthesising genome-wide association studies (GWASs). Directly typed SNP quality control (QC) is thought to affect imputation quality. It is, therefore, common practise to use quality-controlled (QCed) data as an input for imputing genotypes. This study aims to determine the effect of commonly applied QC steps on imputation outcomes. We performed several iterations of imputing SNPs across chromosome 22 in a dataset consisting of 3177 samples with Illumina 610k (Illumina, San Diego, CA, USA) GWAS data, applying different QC steps each time. The imputed genotypes were compared with the directly typed genotypes. In addition, we investigated the correlation between alternatively QCed data. We also applied a series of post-imputation QC steps balancing elimination of poorly imputed SNPs and information loss. We found that the difference between the unQCed data and the fully QCed data on imputation outcome was minimal. Our study shows that imputation of common variants is generally very accurate and robust to GWAS QC, which is not a major factor affecting imputation outcome. A minority of common-frequency SNPs with particular properties cannot be accurately imputed regardless of QC stringency. These findings may not generalise to the imputation of low frequency and rare variants.

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More information

Published date: May 2011
Keywords: genome-wide association study, imputation, quality control, single nucleotide polymorphism

Identifiers

Local EPrints ID: 184385
URI: http://eprints.soton.ac.uk/id/eprint/184385
ISSN: 1018-4813
PURE UUID: cd6b91bc-af51-4a96-bcb6-b1a8fe3b588a

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Date deposited: 05 May 2011 15:04
Last modified: 14 Mar 2024 03:08

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Contributors

Author: Lorraine Southam
Author: Kalliope Panoutsopoulou
Author: N. William Rayner
Author: Kay Chapman
Author: Caroline Durrant
Author: Teresa Ferreira
Author: Nigel Arden
Author: Andrew Carr
Author: Panos Deloukas
Author: Michael Doherty
Author: John Loughlin
Author: Andrew McCaskie
Author: William E.R. Ollier
Author: Stuart Ralston
Author: Timothy D. Spector
Author: Ana M. Valdes
Author: Gillian A. Wallis
Author: J. Mark Wilkinson
Author: Jonathan Marchini
Author: Eleftherria Zeggini
Corporate Author: arcOGEN Consortium

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