Lars Steinmetz
Lior David
Jed Dean
Sujatha Krishnakumar
Michelle Nguyen
Raquel Kuehn
Caridad Komp
Sylvia Kottler
Dan Bruno
Peter Oefner
John McCusker
Ronald W. Davis
Most of our knowledge of how sequence variants affect phenotype is based on the study of traits and diseases that are conditioned by single genes. However in nature, only a small proportion of the diversity in a population can be attributed to single gene variants. The vast majority of phenotypic variation results from multiple genetic and or environmental influences. Since the phenotypes themselves are often quantitative and their inheritance follows non-Mendelian or complex patterns identifying the underlying genes has been difficult. We recently developed a new approach to quantitative trait dissection named reciprocal hemizygosity analysis that successfully identified 3 genes involved in a quantitative trait. Our goal is to further apply and develop this technology to identify additional genetic variants for this quantitative trait to achieve the most comprehensive genetic description of a quantitative trait achieved to date.
genome Technology Center 
