Julie Douglas

Julie Douglas, Ph.D.

Associate Professor of Human Genetics
5912 Buhl
1241 E. Catherine St. SPC 5618
Ann Arbor, MI 48109 -5618
734-615-2616

Administrative Contact

Sue Kellogg

Areas of Interest

Our group uses a variety of statistical and computational methods to study the genetic bases of medically important traits and common diseases in human populations.  We are especially interested in cancer susceptibility and associated risk factors.  For example, one of our current projects aims to identify the genetic factors that influence mammographic density, one of the strongest but most poorly understood breast cancer risk factors.  Our research relies heavily on collaboration and interdisciplinary knowledge of classical, molecular, and population genetics, genomics, probability and statistics, data analysis, bioinformatics, and computer programming.     

Honors & Awards

  • 2009 University of Michigan Medical School Teaching Award in Human Genetics
  • 2000 University of Michigan Rackham Pre-doctoral Fellowship
  • 1995-1998 NIH Pre-doctoral Traineeship in Genome Science
  • 1993-1994 Tandy Corporation Outstanding Teaching Award
  • 1989-1990 University of Akron College of Education Outstanding Student
  • 1986-1990 University of Akron Honors Scholarship
  • 1986-1990 Carl D. Perkins Teaching Scholarship

Credentials

  • 2001 University of Michigan, Ph.D. in Biostatistics
  • 1998 University of Michigan, M.S. in Biostatistics
  • 1990 University of Akron, B.A. in Mathematics & Secondary Education

Published Articles or Reviews

Stone J et al. (2015) Novel associations between common breast cancer susceptibility variants and risk-predicting mammographic density measures. Cancer Res 75:2457-67

Lindström S et al. (2014) Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk. Nat Commun 5:5303

Johnson AM, Zuhlke KA, Plotts C, McDonnell SK, Middha S, Riska SM, Schaid DJ, Thibodeau SN, Douglas JA, Cooney KA (2014) Mutational landscape of candidate genes in familial prostate cancer. Prostate 74:1371-1378

Shah KP, Douglas JA (2013) A method to prioritize quantitative traits and individuals for sequencing in family-based studies. PLOS ONE 8:e62545

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

Douglas JA, Sandefur CI (2008) PedMine - A simulated annealing algorithm to identify maximally unrelated individuals in population isolates. Bioinformatics 24:1106-1108

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

Web Sites