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Copyright 2008 by the Genetics Society of America DOI: 10.1534/genetics.107.085167

Summary: Copyright 2008 by the Genetics Society of America
DOI: 10.1534/genetics.107.085167
Inferring Causal Phenotype Networks From Segregating Populations
Elias Chaibub Neto,* Christine T. Ferrara,,
Alan D. Attie
and Brian S. Yandell*,,1
*Department of Statistics,
Biochemistry Department and
Department of Horticulture, University of Wisconsin, Madison, Wisconsin
53706 and
Sarah W. Stedman Nutrition and Metabolism Center and Department of Pharmacology and Cancer Biology,
Duke University Medical Center, Durham, North Carolina 27704
Manuscript received November 28, 2007
Accepted for publication April 6, 2008
A major goal in the study of complex traits is to decipher the causal interrelationships among correlated
phenotypes. Current methods mostly yield undirected networks that connect phenotypes without causal
orientation. Some of these connections may be spurious due to partial correlation that is not causal. We
show how to build causal direction into an undirected network of phenotypes by including causal QTL for
each phenotype. We evaluate causal direction for each edge connecting two phenotypes, using a LOD score.


Source: Attie, Alan D. - Department of Biochemistry, University of Wisconsin at Madison
Yandell, Brian S. - Departments of Statistics & Horticulture, University of Wisconsin at Madison


Collections: Biology and Medicine; Mathematics