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Three Ways of Combining Genotyping and Resequencing in Case-Control Association Studies

We describe three statistical results that we have found to be useful in case-control genetic association testing. All three involve combining the discovery of novel genetic variants, usually by sequencing, with genotyping methods that recognize previously discovered variants. We first consider expa...

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Autores principales: Longmate, Jeffrey A., Larson, Garrett P., Krontiris, Theodore G., Sommer, Steve S.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3004857/
https://www.ncbi.nlm.nih.gov/pubmed/21187953
http://dx.doi.org/10.1371/journal.pone.0014318
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author Longmate, Jeffrey A.
Larson, Garrett P.
Krontiris, Theodore G.
Sommer, Steve S.
author_facet Longmate, Jeffrey A.
Larson, Garrett P.
Krontiris, Theodore G.
Sommer, Steve S.
author_sort Longmate, Jeffrey A.
collection PubMed
description We describe three statistical results that we have found to be useful in case-control genetic association testing. All three involve combining the discovery of novel genetic variants, usually by sequencing, with genotyping methods that recognize previously discovered variants. We first consider expanding the list of known variants by concentrating variant-discovery in cases. Although the naive inclusion of cases-only sequencing data would create a bias, we show that some sequencing data may be retained, even if controls are not sequenced. Furthermore, for alleles of intermediate frequency, cases-only sequencing with bias-correction entails little if any loss of power, compared to dividing the same sequencing effort among cases and controls. Secondly, we investigate more strongly focused variant discovery to obtain a greater enrichment for disease-related variants. We show how case status, family history, and marker sharing enrich the discovery set by increments that are multiplicative with penetrance, enabling the preferential discovery of high-penetrance variants. A third result applies when sequencing is the primary means of counting alleles in both cases and controls, but a supplementary pooled genotyping sample is used to identify the variants that are very rare. We show that this raises no validity issues, and we evaluate a less expensive and more adaptive approach to judging rarity, based on group-specific variants. We demonstrate the important and unusual caveat that this method requires equal sample sizes for validity. These three results can be used to more efficiently detect the association of rare genetic variants with disease.
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spelling pubmed-30048572010-12-27 Three Ways of Combining Genotyping and Resequencing in Case-Control Association Studies Longmate, Jeffrey A. Larson, Garrett P. Krontiris, Theodore G. Sommer, Steve S. PLoS One Research Article We describe three statistical results that we have found to be useful in case-control genetic association testing. All three involve combining the discovery of novel genetic variants, usually by sequencing, with genotyping methods that recognize previously discovered variants. We first consider expanding the list of known variants by concentrating variant-discovery in cases. Although the naive inclusion of cases-only sequencing data would create a bias, we show that some sequencing data may be retained, even if controls are not sequenced. Furthermore, for alleles of intermediate frequency, cases-only sequencing with bias-correction entails little if any loss of power, compared to dividing the same sequencing effort among cases and controls. Secondly, we investigate more strongly focused variant discovery to obtain a greater enrichment for disease-related variants. We show how case status, family history, and marker sharing enrich the discovery set by increments that are multiplicative with penetrance, enabling the preferential discovery of high-penetrance variants. A third result applies when sequencing is the primary means of counting alleles in both cases and controls, but a supplementary pooled genotyping sample is used to identify the variants that are very rare. We show that this raises no validity issues, and we evaluate a less expensive and more adaptive approach to judging rarity, based on group-specific variants. We demonstrate the important and unusual caveat that this method requires equal sample sizes for validity. These three results can be used to more efficiently detect the association of rare genetic variants with disease. Public Library of Science 2010-12-20 /pmc/articles/PMC3004857/ /pubmed/21187953 http://dx.doi.org/10.1371/journal.pone.0014318 Text en Longmate et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Longmate, Jeffrey A.
Larson, Garrett P.
Krontiris, Theodore G.
Sommer, Steve S.
Three Ways of Combining Genotyping and Resequencing in Case-Control Association Studies
title Three Ways of Combining Genotyping and Resequencing in Case-Control Association Studies
title_full Three Ways of Combining Genotyping and Resequencing in Case-Control Association Studies
title_fullStr Three Ways of Combining Genotyping and Resequencing in Case-Control Association Studies
title_full_unstemmed Three Ways of Combining Genotyping and Resequencing in Case-Control Association Studies
title_short Three Ways of Combining Genotyping and Resequencing in Case-Control Association Studies
title_sort three ways of combining genotyping and resequencing in case-control association studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3004857/
https://www.ncbi.nlm.nih.gov/pubmed/21187953
http://dx.doi.org/10.1371/journal.pone.0014318
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