Structural Model Analysis of Multiple Quantitative Traits | Zendy

Renhua Li | Zendy; ShirngWern Tsaih | Zendy; Keith R. Shockley | Zendy; Ioannis M. Stylianou | Zendy; Jon R. Wergedal | Zendy; Beverly Paigen | Zendy; Gary A. Churchill | Zendy

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Structural Model Analysis of Multiple Quantitative Traits

Author(s) -

Renhua Li,

ShirngWern Tsaih,

Keith R. Shockley,

Ioannis M. Stylianou,

Jon R. Wergedal,

Beverly Paigen,

Gary A. Churchill

Publication year - 2006

Publication title -

plos genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.587

H-Index - 233

eISSN - 1553-7404

pISSN - 1553-7390

DOI - 10.1371/journal.pgen.0020114

Subject(s) - biology , genetic architecture , pleiotropy , quantitative trait locus , identification (biology) , evolutionary biology , genetics , computational biology , quantitative genetics , phenotype , affect (linguistics) , genetic variation , gene , ecology , linguistics , philosophy

We introduce a method for the analysis of multilocus, multitrait genetic data that provides an intuitive and precise characterization of genetic architecture. We show that it is possible to infer the magnitude and direction of causal relationships among multiple correlated phenotypes and illustrate the technique using body composition and bone density data from mouse intercross populations. Using these techniques we are able to distinguish genetic loci that affect adiposity from those that affect overall body size and thus reveal a shortcoming of standardized measures such as body mass index that are widely used in obesity research. The identification of causal networks sheds light on the nature of genetic heterogeneity and pleiotropy in complex genetic systems.

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