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The Texas Medical Center Library

2021

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A Novel Imputation Approach For Sharing Protected Public Health Data, Elizabeth A Erdman, Leonard D Young, Dana L Bernson, Cici Bauer, Kenneth Chui, Thomas J Stopka Oct 2021

A Novel Imputation Approach For Sharing Protected Public Health Data, Elizabeth A Erdman, Leonard D Young, Dana L Bernson, Cici Bauer, Kenneth Chui, Thomas J Stopka

Journal Articles

No abstract provided.


Variant-Specific Inflation Factors For Assessing Population Stratification At The Phenotypic Variance Level, 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, Kenneth M Rice Jun 2021

Variant-Specific Inflation Factors For Assessing Population Stratification At The Phenotypic Variance Level, 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, Kenneth M Rice

Journal Articles

In modern Whole Genome Sequencing (WGS) epidemiological studies, participant-level data from multiple studies are often pooled and results are obtained from a single analysis. We consider the impact of differential phenotype variances by study, which we term 'variance stratification'. Unaccounted for, variance stratification can lead to both decreased statistical power, and increased false positives rates, depending on how allele frequencies, sample sizes, and phenotypic variances vary across the studies that are pooled. We develop a procedure to compute variant-specific inflation factors, and show how it can be used for diagnosis of genetic association analyses on pooled individual level data from …