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Determinants of QTL Mapping Power in the Realized Collaborative Cross.

Authors :
Keele GR
Crouse WL
Kelada SNP
Valdar W
Source :
G3 (Bethesda, Md.) [G3 (Bethesda)] 2019 May 07; Vol. 9 (5), pp. 1707-1727. Date of Electronic Publication: 2019 May 07.
Publication Year :
2019

Abstract

The Collaborative Cross (CC) is a mouse genetic reference population whose range of applications includes quantitative trait loci (QTL) mapping. The design of a CC QTL mapping study involves multiple decisions, including which and how many strains to use, and how many replicates per strain to phenotype, all viewed within the context of hypothesized QTL architecture. Until now, these decisions have been informed largely by early power analyses that were based on simulated, hypothetical CC genomes. Now that more than 50 CC strains are available and more than 70 CC genomes have been observed, it is possible to characterize power based on realized CC genomes. We report power analyses from extensive simulations and examine several key considerations: 1) the number of strains and biological replicates, 2) the QTL effect size, 3) the presence of population structure, and 4) the distribution of functionally distinct alleles among the founder strains at the QTL. We also provide general power estimates to aide in the design of future experiments. All analyses were conducted with our R package, SPARCC (Simulated Power Analysis in the Realized Collaborative Cross), developed for performing either large scale power analyses or those tailored to particular CC experiments.<br /> (Copyright © 2019 Keele et al.)

Details

Language :
English
ISSN :
2160-1836
Volume :
9
Issue :
5
Database :
MEDLINE
Journal :
G3 (Bethesda, Md.)
Publication Type :
Academic Journal
Accession number :
30914424
Full Text :
https://doi.org/10.1534/g3.119.400194