Julie A. Douglas, Ph.D.

Associate Professor of Human Genetics
Most ordinary traits and common diseases in humans are heritable. In fact, the genetic bases of many traits and diseases from height to breast cancer to longevity have been recognized for nearly a hundred years. However, it is only recently that we have had the tools and resources required to search for their genetic underpinnings.
The goal of the Douglas lab is to apply, adapt, and develop a variety of statistical and computational tools and contemporary resources to identify the genetic contributions to medically important traits and common diseases in human populations. For example, a major, current aim in the lab is to discover the genetic factors that influence breast density, the third strongest risk factor for breast cancer, after age and mutations in the BRCA1 and BRCA2 genes.
Because most medically important traits like breast density are complex, being influenced by an inter-play of both genetic and non-genetics factors, study design is critically important. To this end and in an effort understand the genetic basis of breast density, we recently recruited and characterized a sample of approximately 1,500 Amish women with respect to multiple breast cancer risk factors, including breast density. One of the advantages of studying the Amish is that they have unique cultural and reproductive behaviors that reduce the effect of non-genetic factors - such as delayed childbearing and the use of contraceptives and female hormones - that affect breast density.
Van Hout CV, Levin AM, Rampersaud E, Shen H, O'Connell JR, Mitchell BD, Shuldiner AR, Douglas JA (2010) Extent and distribution of linkage disequilibrium in the Old Order Amish. Genet Epidemiol 34:146-150
Douglas JA, Roy-Gagnon MH, Zhou C, Mitchell BD, Shuldiner AR, Chan HP, Helvie MA (2008) Mammographic breast density - evidence for genetic correlations with established breast cancer risk factors. Cancer Epidemiol Biomarkers Prev 17:3509-3516
Levin AM, Ray AM, Zuhlke KA, Cooney KA, Douglas JA (2008) Chromosome 17q12 variants contribute to risk of early-onset prostate cancer. Cancer Res 68:6492-6495
Douglas JA, Sandefur CI (2008) PedMine - A simulated annealing algorithm to identify maximally unrelated individuals in population isolates. Bioinformatics 24:1106-1108
Roy-Gagnon MH, Weir MR, Sorkin JD, Ryan KA, Sack PA, Hines S, Bielak LF, Peyser PA, Post W, Mitchell BD, Shuldiner AR, Douglas JA (2008) Genetic influences on blood pressure response to the cold pressor test: results from the HAPI heart study. J Hypertens 26:729-736
Douglas JA, Levin AM, Zuhlke KA, Ray AM, Johnson GR, Lange EM, Wood DP, Conney KA (2007). Common variation in the BRCA1 gene and prostate cancer risk. Cancer Epidemiol Biomarkers Prev 16:1510-1516
Douglas JA, Gruber SB, Meister KA, Bonner J, Watson P, Krush AJ, Lynch HT (2005) History and molecular genetics of Lynch syndrome in family G - A century later. JAMA 294:2195-2202