Testing Pleiotropy vs. Separate QTL in Multiparental Populations.

Document Type

Article

Publication Date

7-9-2019

Keywords

JMG

JAX Source

G3 (Bethesda) 2019 Jul; 9(7):2317-2324

Volume

9

Issue

7

First Page

2317

Last Page

2324

ISSN

2160-1836

PMID

31092608

DOI

https://doi.org/10.1534/g3.119.400098

Grant

DA039841

Abstract

The high mapping resolution of multiparental populations, combined with technology to measure tens of thousands of phenotypes, presents a need for quantitative methods to enhance understanding of the genetic architecture of complex traits. When multiple traits map to a common genomic region, knowledge of the number of distinct loci provides important insight into the underlying mechanism and can assist planning for subsequent experiments. We extend the method of Jiang and Zeng (1995), for testing pleiotropy with a pair of traits, to the case of more than two alleles. We also incorporate polygenic random effects to account for population structure. We use a parametric bootstrap to determine statistical significance. We apply our methods to a behavioral genetics data set from Diversity Outbred mice. Our methods have been incorporated into the R package qtl2pleio.

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