TY - JOUR
T1 - Genetic risk variants associated with comorbid alcohol dependence and major depression
AU - Zhou, Hang
AU - Polimanti, Renato
AU - Yang, Bao Zhu
AU - Wang, Qian
AU - Han, Shizhong
AU - Sherva, Richard
AU - Nunez, Yaira Z.
AU - Zhao, Hongyu
AU - Farrer, Lindsay A.
AU - Kranzler, Henry R.
AU - Gelernter, Joel
N1 - Funding Information:
Additional Contributions: James Poling, PhD, Yale University School of Medicine and the APT Foundation; Roger Weiss, MD, McLean Hospital; Kathleen Brady, MD, PhD, and Raymond Anton, MD, Medical University of South Carolina; and David Oslin, MD, the University of Pennsylvania assisted with recruitment and assessment. Genotyping services for a part of our genome-wide association study were provided by the Center for Inherited Disease Research and Yale University (Center for Genome Analysis), which is fully funded by federal contract N01-HG-65403 from the National Institutes of Health to The Johns Hopkins University. Ann Marie Lacobelle, BS, and Christa Robinson, BS, Veterans Affairs Connecticut Healthcare Center, provided technical assistance. Michelle Slivinsky, MA, CCRP, University of Connecticut Health Center, led the Semi-structured Assessment for Drug Dependence and Alcoholism interviews and phenotyping for some of the study sample. John Farrell, PhD, Section of Biomedical Genetics, Boston University School of Medicine, provided database management assistance. All individuals who contributed received support from research grants.
Funding Information:
Funding/Support: This study was supported by grants RC2 DA028909, R01 DA12690, R01 DA12849, R01 DA18432, R01 AA11330, and R01 AA017535 from the National Institutes of Health and by the Veterans Affairs Connecticut Healthcare Center and the Philadelphia Veterans Affairs Mental Illness Research, Education and Clinical Center.
Publisher Copyright:
© 2017 American Medical Association. All rights reserved.
PY - 2017/12
Y1 - 2017/12
N2 - IMPORTANCE Alcohol dependence (AD) and major depression (MD) are leading causes of disability that often co-occur. Genetic epidemiologic data have shown that AD and MD share a common possible genetic cause. The molecular nature of this shared genetic basis is poorly understood. OBJECTIVES To detect genetic risk variants for comorbid AD andMDand to determine whether polygenic risk alleles are shared with neuropsychiatric traits or subcortical brain volumes. DESIGN, SETTING, AND PARTICIPANTS This genome-wide association study analyzed criterion counts of comorbid AD andMDin African American and European American data sets collected as part of the Yale-Penn study of the genetics of drug and alcohol dependence from February 14, 1999, to January 13, 2015. After excluding participants never exposed to alcohol or with missing information for any diagnostic criterion, genome-wide association studieswere performed on 2 samples (the Yale-Penn 1 and Yale-Penn 2 samples) totaling 4653 African American participants and 3169 European American participants (analyzed separately). Tests were performed to determine whether polygenic risk scores derived from potentially related traits in European American participants could be used to estimate comorbid AD andMD. MAIN OUTCOMES AND MEASURES Comorbid criterion counts (ranging from 0 to 14) for AD (7 criteria) and MD (9 criteria, scaled to 7) as defined by the DSM-IV. RESULTS Of the 7822 participants (3342 women and 4480 men; mean [SD] age, 40.1 [10.7] years), the median comorbid criterion count was 6.2 (interquartile range, 2.3-10.9). Under the linear regression model, rs139438618 at the semaphorin 3A (SEMA3A [OMIM 603961]) locus was significantly associated with AD and MD comorbidity in African American participants in the Yale-Penn 1 sample (β = 0.89; 95%CI, 0.57-1.20; P = 2.76 × 10-8). In the independent Yale-Penn 2 sample, the association was also significant (β = 0.83; 95%CI, 0.39-1.28; P = 2.06 × 10-4). Meta-analysis of the 2 samples yielded a more robust association (β = 0.87; 95%CI, 0.61-1.12; P = 2.41 × 10-11). There was no significant association identified in European American participants. Analyses of polygenic risk scores showed that individuals with a higher risk of neuroticism (β = 1.01; 95%CI, 0.50-1.52) or depressive symptoms (β = 0.87; 95%CI, 0.32-1.42) and a lower level of subjective well-being (β =-0.94; 95%CI,-1.46 to-0.42) and educational attainment (β =-1.00, 95%CI,-1.57 to-0.44) had a higher level of AD and MD comorbidity, while larger intracranial (β = 1.07; 95%CI, 0.50 to 1.64) and smaller putamen volumes (β =-1.16; 95%CI,-1.86 to-0.46) were associated with higher risks of AD and MD comorbidity. CONCLUSIONS AND RELEVANCE SEMA3A variation is significantly and replicably associated with comorbid AD and MD in African American participants. Analyses of polygenic risk scores identified pleiotropy with neuropsychiatric traits and brain volumes. Further studies are warranted to understand the biological and genetic mechanisms of this comorbidity, which could facilitate development of medications and other treatments for comorbid AD and MD.
AB - IMPORTANCE Alcohol dependence (AD) and major depression (MD) are leading causes of disability that often co-occur. Genetic epidemiologic data have shown that AD and MD share a common possible genetic cause. The molecular nature of this shared genetic basis is poorly understood. OBJECTIVES To detect genetic risk variants for comorbid AD andMDand to determine whether polygenic risk alleles are shared with neuropsychiatric traits or subcortical brain volumes. DESIGN, SETTING, AND PARTICIPANTS This genome-wide association study analyzed criterion counts of comorbid AD andMDin African American and European American data sets collected as part of the Yale-Penn study of the genetics of drug and alcohol dependence from February 14, 1999, to January 13, 2015. After excluding participants never exposed to alcohol or with missing information for any diagnostic criterion, genome-wide association studieswere performed on 2 samples (the Yale-Penn 1 and Yale-Penn 2 samples) totaling 4653 African American participants and 3169 European American participants (analyzed separately). Tests were performed to determine whether polygenic risk scores derived from potentially related traits in European American participants could be used to estimate comorbid AD andMD. MAIN OUTCOMES AND MEASURES Comorbid criterion counts (ranging from 0 to 14) for AD (7 criteria) and MD (9 criteria, scaled to 7) as defined by the DSM-IV. RESULTS Of the 7822 participants (3342 women and 4480 men; mean [SD] age, 40.1 [10.7] years), the median comorbid criterion count was 6.2 (interquartile range, 2.3-10.9). Under the linear regression model, rs139438618 at the semaphorin 3A (SEMA3A [OMIM 603961]) locus was significantly associated with AD and MD comorbidity in African American participants in the Yale-Penn 1 sample (β = 0.89; 95%CI, 0.57-1.20; P = 2.76 × 10-8). In the independent Yale-Penn 2 sample, the association was also significant (β = 0.83; 95%CI, 0.39-1.28; P = 2.06 × 10-4). Meta-analysis of the 2 samples yielded a more robust association (β = 0.87; 95%CI, 0.61-1.12; P = 2.41 × 10-11). There was no significant association identified in European American participants. Analyses of polygenic risk scores showed that individuals with a higher risk of neuroticism (β = 1.01; 95%CI, 0.50-1.52) or depressive symptoms (β = 0.87; 95%CI, 0.32-1.42) and a lower level of subjective well-being (β =-0.94; 95%CI,-1.46 to-0.42) and educational attainment (β =-1.00, 95%CI,-1.57 to-0.44) had a higher level of AD and MD comorbidity, while larger intracranial (β = 1.07; 95%CI, 0.50 to 1.64) and smaller putamen volumes (β =-1.16; 95%CI,-1.86 to-0.46) were associated with higher risks of AD and MD comorbidity. CONCLUSIONS AND RELEVANCE SEMA3A variation is significantly and replicably associated with comorbid AD and MD in African American participants. Analyses of polygenic risk scores identified pleiotropy with neuropsychiatric traits and brain volumes. Further studies are warranted to understand the biological and genetic mechanisms of this comorbidity, which could facilitate development of medications and other treatments for comorbid AD and MD.
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U2 - 10.1001/jamapsychiatry.2017.3275
DO - 10.1001/jamapsychiatry.2017.3275
M3 - Article
C2 - 29071344
AN - SCOPUS:85038253070
SN - 2168-622X
VL - 74
SP - 1234
EP - 1241
JO - JAMA psychiatry
JF - JAMA psychiatry
IS - 12
ER -