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Estimation of Genetic Relationships Between Individuals Across Cohorts and Platforms: Application to Childhood Height

Authors :
Fedko, I. (Iryna)
Hottenga, J.J. (Jouke Jan)
Medina-Gomez, M.C. (Carolina)
Pappa, I. (Irene)
Beijsterveldt, C.E.M. (Toos) van
Ehli, E.A. (Erik)
Davies, G.E. (Gareth)
Rivadeneira Ramirez, F. (Fernando)
Tiemeier, H.W. (Henning)
Swertz, M. (Morris)
Middeldorp, C.M. (Christel)
Bartels, M. (Meike)
Boomsma, D.I. (Dorret)
Fedko, I. (Iryna)
Hottenga, J.J. (Jouke Jan)
Medina-Gomez, M.C. (Carolina)
Pappa, I. (Irene)
Beijsterveldt, C.E.M. (Toos) van
Ehli, E.A. (Erik)
Davies, G.E. (Gareth)
Rivadeneira Ramirez, F. (Fernando)
Tiemeier, H.W. (Henning)
Swertz, M. (Morris)
Middeldorp, C.M. (Christel)
Bartels, M. (Meike)
Boomsma, D.I. (Dorret)
Publication Year :
2015

Abstract

Combining genotype data across cohorts increases power to estimate the heritability due to common single nucleotide polymorphisms (SNPs), based on analyzing a Genetic Relationship Matrix (GRM). However, the combination of SNP data across multiple cohorts may lead to stratification, when for example, different genotyping platforms are used. In the current study, we address issues of combining SNP data from different cohorts, the Netherlands Twin Register (NTR) and the Generation R (GENR) study. Both cohorts include children of Northern European Dutch background (N = 3102 + 2826, respectively) who were genotyped on different platforms. We explore imputation and phasing as a tool and compare three GRM-building strategies, when data from two cohorts are (1) just combi

Details

Database :
OAIster
Notes :
application/pdf, Behavior Genetics vol. 45 no. 5, pp. 514-528, English
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn957100984
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1007.s10519-015-9725-7