
Additional Titles & Roles
- Professor of Biostatistics
- Professor of Genetics
- Co-Director, HSG program in DBBS
Education & Training
- Ph.D.: Washington University in St Louis, 1975
- M.A.: Washington University in St Louis, 1972
- B.A.: Cornell University, 1969
Research Interests
Current research interests in my lab include method development in genetic epidemiology and the collection and analysis of family and population data on bipolar disorder, major depression, schizophrenia and substance abuse. Methodologic work includes: (i) the development of new measures of linkage disequilibrium to define SNPs for association analysis; (ii) assessing the accuracy of imputation; and (iii) developing statistical methods to assess CNV (copy number variation) prediction. I continue to apply these new techniques to a number of currently existing data sets. My emphasis has been shifting from linkage analysis using several hundred repeat markers to association analysis using 1 million SNPs in GWAS (Genome-wide Association Studies). This new trend in the genetics of complex traits represents many challenges in data management and in analysis. My lab also maintains the phenotypic component of the genetic repository for NIMH, NIDA and NIAAA. Future emphasis will be the use of statistical genetics and bioinformatics for the meta-analysis of the genetic data available.
Recent Publications
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Genomics yields biological and phenotypic insights into bipolar disorder
Genoplan Research Team, Estonian Biobank research team, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team, Million Veteran Program (MVP), Cooperative Studies Program (CSP) #572, Genomic Psychiatry Cohort (GPC) Investigators, PGC-FG Single cell working group & HUNT All-In Psychiatry, Mar 27 2025, In: Nature. 639, 8056, p. 968-975 8 p., 2417.
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Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Feb 6 2025, In: Cell. 188, 3, p. 640-652.e9
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Correction to: Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction (Nature Neuroscience, (2021), 24, 10, (1367-1376), 10.1038/s41593-021-00908-3)
COGA Collaborators, Jan 2025, In: Nature neuroscience. 28, 1, p. 213 1 p.
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Alcohol Use Disorder Polygenic Score Compared with Family History and ADH1B
Lai, D., Zhang, M., Abreu, M., Schwantes-An, T. H., Chan, G., Dick, D. M., Kamarajan, C., Kuang, W., Nurnberger, J. I., Plawecki, M. H., Rice, J., Schuckit, M., Porjesz, B., Liu, Y. & Foroud, T., Dec 30 2024, In: JAMA Network Open. 7, 12, p. e2452705
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Potential causal association between gut microbiome and posttraumatic stress disorder
He, Q., Wang, W., Xu, D., Xiong, Y., Tao, C., You, C., Ma, L., Ma, J., Nievergelt, C. M., Maihofer, A. X., Klengel, T., Atkinson, E. G., Chen, C. Y., Choi, K. W., Coleman, J. R. I., Dalvie, S., Duncan, L. E., Logue, M. W., Provost, A. C. & Ratanatharathorn, A. & 165 others, , Dec 2024, In: Translational psychiatry. 14, 1, 67.