Data Integration Methods for Phenotype Harmonization in Multi-Cohort Genome-Wide Association Studies With Behavioral Outcomes

Data Integration Methods for Phenotype Harmonization in Multi-Cohort Genome-Wide Association Studies With Behavioral Outcomes

Parallel meta-analysis is a popular approach for increasing the power to detect genetic effects in genome-wide association studies across multiple cohorts. Consortia studying the genetics of behavioral phenotypes are oftentimes faced with systematic differences in phenotype measurement across cohort...

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Bibliographic Details
Main Authors: Justin M. Luningham, Daniel B. McArtor, Anne M. Hendriks, Catharina E. M. van Beijsterveldt, Paul Lichtenstein, Sebastian Lundström, Henrik Larsson, Meike Bartels, Dorret I. Boomsma, Gitta H. Lubke
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Genetics
Subjects:
phenotype harmonization
genome-wide association studies
latent variable modeling
data integration
consortia
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.01227/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.01227/full

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