Multiple trait analysis of genetic mapping for quantitative trait loci

Journal Article · Sat Jul 01 04:00:00 EDT 1995 · Genetics

OSTI ID:99065

Jiang, Changjian ^[1]

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1. Jiangsu Agricultural College (China)

We present in this paper models and statistical methods for performing multiple trait analysis on mapping quantitative trait loci (QTL) based on the composite interval mapping method. By taking into account the correlated structure of multiple traits, this joint analysis has several advantages, compared with separate analyses, for mapping QTL, including the expected improvement on the statistical power of the test for QTL and on the precision of parameter estimation. Also this joint analysis provides formal procedures to test a number of biologically interesting hypotheses concerning the nature of genetic correlations between different traits. Among the testing procedures considered are those for joint mapping, pleiotropy, QTL by environment interaction, and pleiotropy vs. close linkage. The test of pleiotropy (one pleiotropic QTL at a genome position) vs. close linkage (multiple nearby nonpleiotropic QTL) can have important implications for our understanding of the nature of genetic correlations between different traits in certain regions of a genome and also for practical applications in animal and plant breeding because one of the major goals in breeding is to break unfavorable linkage. Results of extensive simulation studies are presented to illustrate various properties of the analyses. 14 refs., 2 figs., 7 tabs.

• OSTI ID: 99065
• Journal Information: Genetics, Journal Name: Genetics Journal Issue: 3 Vol. 140; ISSN GENTAE; ISSN 0016-6731
• Country of Publication: United States
• Language: English

Related Subjects

55 BIOLOGY AND MEDICINE
BASIC STUDIES
99 GENERAL AND MISCELLANEOUS
ANIMAL BREEDING
ENVIRONMENTAL EFFECTS
GENES
GENETIC MAPPING
GENETICS
GENOTYPE
HUMAN CHROMOSOMES
MATHEMATICAL MODELS
MULTI-PARAMETER ANALYSIS
PHENOTYPE
PLANT BREEDING
SIMULATION
STATISTICS