Several alcohol dependence risk loci are now known, and specific candidate genes have been identified as potentially important for the component projects in the center. The major function of the Genetics Core will be to support genotyping for each of the projects (including pilot projects) involving human subjects, for the purpose of identifying genotype/phenotype correlations. A minimal set of relevant loci will be studied in all subjects. This gene set will be adjusted during the span of the center to incorporate newly-identified biological pathways, and new candidates identified by other methods (e.g., genomewide association studies [GWAS] taking place in our research group and elsewhere). The goals of the clinical components of the Center require study of ethnically heterogeneous populations, but study of stratified samples that differ in allele frequency and phenotype for candidate loci of interest can create artifactual association. We will therefore apply structured association methodology to measure and if necessary statistically correct for the effects of population stratification. Genetics Core investigators will advise Center investigators for issues related to genetics studies. Specifically, this will include (a) consultation on genetics-related human subjects issues;(b) consultation regarding study design (which may include preselection of subjects by genotype in some cases, as well as selection of genes and specific markers for study);(c) statistical analyses (including implementation of analyses results involving ancestry-informative markers);and (d) consultation to aid in interpretation of results.

Public Health Relevance

Genetic factors influence risk for alcohol dependence per se, and also aspects of phenotype related to diagnosis of alcohol dependence. It is critically important to understand specific genes that influence these phenotypes, diagnostic and intermediate, and it is the goal of this core to aid in that understanding.

National Institute of Health (NIH)
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Specialized Center (P50)
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Special Emphasis Panel (ZAA1-GG (99))
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Yale University
New Haven
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Vijay, Aishwarya; Cavallo, Dana; Goldberg, Alissa et al. (2018) PET imaging reveals lower kappa opioid receptor availability in alcoholics but no effect of age. Neuropsychopharmacology 43:2539-2547
Polimanti, Renato; Kayser, Manfred H; Gelernter, Joel (2018) Local adaptation in European populations affected the genetics of psychiatric disorders and behavioral traits. Genome Med 10:24
Polimanti, R; Kaufman, J; Zhao, H et al. (2018) A genome-wide gene-by-trauma interaction study of alcohol misuse in two independent cohorts identifies PRKG1 as a risk locus. Mol Psychiatry 23:154-160
Polimanti, R; Kaufman, J; Zhao, H et al. (2018) Trauma exposure interacts with the genetic risk of bipolar disorder in alcohol misuse of US soldiers. Acta Psychiatr Scand 137:148-156
Ide, Jaime S; Zhornitsky, Simon; Chao, Herta H et al. (2018) Thalamic Cortical Error-Related Responses in Adult Social Drinkers: Sex Differences and Problem Alcohol Use. Biol Psychiatry Cogn Neurosci Neuroimaging 3:868-877
D'Souza, Deepak Cyril; Carson, Richard E; Driesen, Naomi et al. (2018) Dose-Related Target Occupancy and Effects on Circuitry, Behavior, and Neuroplasticity of the Glycine Transporter-1 Inhibitor PF-03463275 in Healthy and Schizophrenia Subjects. Biol Psychiatry 84:413-421
Polimanti, Renato; Gelernter, Joel; Stein, Dan J (2018) Genetically determined schizophrenia is not associated with impaired glucose homeostasis. Schizophr Res 195:286-289
Foster, Dawn W; Ye, Feifei; O'Malley, Stephanie S et al. (2018) Longitudinal Associations Between Alcohol-Related Cognitions and Use in African American and European American Adolescent Girls. Alcohol Clin Exp Res 42:962-971
Polimanti, Renato; Gelernter, Joel (2018) ADH1B: From alcoholism, natural selection, and cancer to the human phenome. Am J Med Genet B Neuropsychiatr Genet 177:113-125
Zhou, Hang; Cheng, Zhongshan; Bass, Nicholas et al. (2018) Genome-wide association study identifies glutamate ionotropic receptor GRIA4 as a risk gene for comorbid nicotine dependence and major depression. Transl Psychiatry 8:208

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