Statistical Genetics/Genetic Epidemiology

Statistical genetics focuses on the development of statistical methods for understanding the genetic basis of human diseases and traits from genetic and genomic data sets. Genetic epidemiology studies how genetic factors contribute to health and disease and how genes interplay with environmental factors.

Related Faculty

Dr. Justin Luningham
Dr. Zhengyang Zhou

Faculty Publications:

• Luningham JM, Chen J, Tang S, De Jager PL, Bennett DA, Buchman AS, Yang J. Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics. Am J Hum Genet. 2020 Oct 1;107(4):714-726. doi: 10.1016/j.ajhg.2020.08.022.
• Luningham JM, McArtor DB, Hendriks AM, van Beijsterveldt CEM, Lichtenstein P, Lundström S, Larsson H, Bartels M, Boomsma DI, Lubke GH. Data Integration Methods for Phenotype Harmonization in Multi-Cohort Genome-Wide Association Studies With Behavioral Outcomes. Front Genet. 2019 Dec 10;10:1227. doi: 10.3389/fgene.2019.01227.
• Waldman ID, Poore HE, Luningham JM, Yang J. Testing structural models of psychopathology at the genomic level. World Psychiatry. 2020 Oct;19(3):350-359. doi: 10.1002/wps.20772.