Variant-specific inflation factors for assessing population stratification at the phenotypic variance level

Pooling participant-level genetic data into a single analysis can result in variance stratification, reducing statistical performance. Here, the authors develop variant-specific inflation factors to assess variance stratification and apply this to pooled individual-level data from whole genome seque...

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Main Authors: Tamar Sofer, Xiuwen Zheng, Cecelia A. Laurie, Stephanie M. Gogarten, Jennifer A. Brody, Matthew P. Conomos, Joshua C. Bis, Timothy A. Thornton, Adam Szpiro, Jeffrey R. O’Connell, Ethan M. Lange, Yan Gao, L. Adrienne Cupples, Bruce M. Psaty, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Kenneth M. Rice
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23655-2
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spelling doaj-95ef2a1716c643edaaee9314353151642021-06-13T11:15:20ZengNature Publishing GroupNature Communications2041-17232021-06-0112111410.1038/s41467-021-23655-2Variant-specific inflation factors for assessing population stratification at the phenotypic variance levelTamar Sofer0Xiuwen Zheng1Cecelia A. Laurie2Stephanie M. Gogarten3Jennifer A. Brody4Matthew P. Conomos5Joshua C. Bis6Timothy A. Thornton7Adam Szpiro8Jeffrey R. O’Connell9Ethan M. Lange10Yan Gao11L. Adrienne Cupples12Bruce M. Psaty13NHLBI Trans-Omics for Precision Medicine (TOPMed) ConsortiumKenneth M. Rice14Division of Sleep and Circadian Disorders, Brigham and Women’s HospitalDepartment of Biostatistics, University of WashingtonDepartment of Biostatistics, University of WashingtonDepartment of Biostatistics, University of WashingtonCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of WashingtonDepartment of Biostatistics, University of WashingtonDepartment of Biostatistics, University of WashingtonDepartment of Biostatistics, University of WashingtonDepartment of Biostatistics, University of WashingtonDepartment of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of MedicineDepartment of Medicine, University of Colorado Anschutz Medical CampusSchool of Medicine, University Mississippi Medical CenterDepartment of Biostatistics, Boston University School of Public HealthCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of WashingtonDepartment of Biostatistics, University of WashingtonPooling participant-level genetic data into a single analysis can result in variance stratification, reducing statistical performance. Here, the authors develop variant-specific inflation factors to assess variance stratification and apply this to pooled individual-level data from whole genome sequencing.https://doi.org/10.1038/s41467-021-23655-2
collection DOAJ
language English
format Article
sources DOAJ
author Tamar Sofer
Xiuwen Zheng
Cecelia A. Laurie
Stephanie M. Gogarten
Jennifer A. Brody
Matthew P. Conomos
Joshua C. Bis
Timothy A. Thornton
Adam Szpiro
Jeffrey R. O’Connell
Ethan M. Lange
Yan Gao
L. Adrienne Cupples
Bruce M. Psaty
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
Kenneth M. Rice
spellingShingle Tamar Sofer
Xiuwen Zheng
Cecelia A. Laurie
Stephanie M. Gogarten
Jennifer A. Brody
Matthew P. Conomos
Joshua C. Bis
Timothy A. Thornton
Adam Szpiro
Jeffrey R. O’Connell
Ethan M. Lange
Yan Gao
L. Adrienne Cupples
Bruce M. Psaty
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
Kenneth M. Rice
Variant-specific inflation factors for assessing population stratification at the phenotypic variance level
Nature Communications
author_facet Tamar Sofer
Xiuwen Zheng
Cecelia A. Laurie
Stephanie M. Gogarten
Jennifer A. Brody
Matthew P. Conomos
Joshua C. Bis
Timothy A. Thornton
Adam Szpiro
Jeffrey R. O’Connell
Ethan M. Lange
Yan Gao
L. Adrienne Cupples
Bruce M. Psaty
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
Kenneth M. Rice
author_sort Tamar Sofer
title Variant-specific inflation factors for assessing population stratification at the phenotypic variance level
title_short Variant-specific inflation factors for assessing population stratification at the phenotypic variance level
title_full Variant-specific inflation factors for assessing population stratification at the phenotypic variance level
title_fullStr Variant-specific inflation factors for assessing population stratification at the phenotypic variance level
title_full_unstemmed Variant-specific inflation factors for assessing population stratification at the phenotypic variance level
title_sort variant-specific inflation factors for assessing population stratification at the phenotypic variance level
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-06-01
description Pooling participant-level genetic data into a single analysis can result in variance stratification, reducing statistical performance. Here, the authors develop variant-specific inflation factors to assess variance stratification and apply this to pooled individual-level data from whole genome sequencing.
url https://doi.org/10.1038/s41467-021-23655-2
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