Alvaro E Ulloa1, Jiayu Chen, Victor M Vergara, Vince Calhoun, Jingyu Liu. 1. Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, New Mexico; The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico.
Abstract
BACKGROUND: Copy number variations (CNVs) are structural genetic mutations consisting of segmental gains or losses in DNA sequence. Although CNVs contribute substantially to genomic variation, few genetic and imaging studies report association of CNVs with alcohol dependence (AD). Our purpose is to find evidence of this association across ethnic populations and genders. This work is the first AD-CNV study across ethnic groups and the first to include the African American (AA) population. METHODS: This study considers 2 CNV data sets, one for discovery (2,345 samples) and the other for validation (239 samples), both including subjects with AD and healthy controls of European and African ancestry. Our analysis assesses the association between AD and CNV losses across ethnic groups and gender by examining the effect of overall losses across the whole genome, collective losses within individual cytogenetic bands, and specific losses in CNV regions. RESULTS: Results from the discovery data set showed an association between CNV losses within 16q12.2 and AD diagnosis (p = 4.53 × 10(-3) ). An overlapping CNV region from the validation data set exhibited the same direction of effect with respect to AD (p = 0.051). This CNV region affects the genes CES1p1 and CES1, which are members of the carboxylesterase (CES) family. The enzyme encoded by CES1 is a major liver enzyme that typically catalyzes the decomposition of ester into alcohol and carboxylic acid and is involved in drug or xenobiotics, fatty acid, and cholesterol metabolisms. In addition, the most significantly associated CNV region was located at 9p21.2 (p = 1.9 × 10(-3) ) in our discovery data set. Although not observed in the validation data set, probably due to small sample size, this result might hold potential connection to AD given its connection with neuronal death. In contrast, we did not find any association between AD and the overall total losses or the collective losses within individual cytogenetic bands. CONCLUSIONS: Overall, our study provides evidence that the specific CNVs at 16q12.2 contribute to the development of alcoholism in AA and European American populations.
BACKGROUND: Copy number variations (CNVs) are structural genetic mutations consisting of segmental gains or losses in DNA sequence. Although CNVs contribute substantially to genomic variation, few genetic and imaging studies report association of CNVs with alcohol dependence (AD). Our purpose is to find evidence of this association across ethnic populations and genders. This work is the first AD-CNV study across ethnic groups and the first to include the African American (AA) population. METHODS: This study considers 2 CNV data sets, one for discovery (2,345 samples) and the other for validation (239 samples), both including subjects with AD and healthy controls of European and African ancestry. Our analysis assesses the association between AD and CNV losses across ethnic groups and gender by examining the effect of overall losses across the whole genome, collective losses within individual cytogenetic bands, and specific losses in CNV regions. RESULTS: Results from the discovery data set showed an association between CNV losses within 16q12.2 and AD diagnosis (p = 4.53 × 10(-3) ). An overlapping CNV region from the validation data set exhibited the same direction of effect with respect to AD (p = 0.051). This CNV region affects the genes CES1p1 and CES1, which are members of the carboxylesterase (CES) family. The enzyme encoded by CES1 is a major liver enzyme that typically catalyzes the decomposition of ester into alcohol and carboxylic acid and is involved in drug or xenobiotics, fatty acid, and cholesterol metabolisms. In addition, the most significantly associated CNV region was located at 9p21.2 (p = 1.9 × 10(-3) ) in our discovery data set. Although not observed in the validation data set, probably due to small sample size, this result might hold potential connection to AD given its connection with neuronal death. In contrast, we did not find any association between AD and the overall total losses or the collective losses within individual cytogenetic bands. CONCLUSIONS: Overall, our study provides evidence that the specific CNVs at 16q12.2 contribute to the development of alcoholism in AA and European American populations.
Authors: Xianhua Piao; Lina Basel-Vanagaite; Rachel Straussberg; P Ellen Grant; Elizabeth W Pugh; Kim Doheny; Betty Doan; Susan E Hong; Yin Yao Shugart; Christopher A Walsh Journal: Am J Hum Genet Date: 2002-02-13 Impact factor: 11.025
Authors: Jiuzhou Song; Daniel L Koller; Tatiana Foroud; Kristie Carr; Jinghua Zhao; John Rice; John I Nurnberger; Henri Begleiter; Bernice Porjesz; Tom L Smith; Marc A Schuckit; Howard J Edenberg Journal: Am J Med Genet B Neuropsychiatr Genet Date: 2003-02 Impact factor: 3.568
Authors: Laura Jean Bierut; Pamela A F Madden; Naomi Breslau; Eric O Johnson; Dorothy Hatsukami; Ovide F Pomerleau; Gary E Swan; Joni Rutter; Sarah Bertelsen; Louis Fox; Douglas Fugman; Alison M Goate; Anthony L Hinrichs; Karel Konvicka; Nicholas G Martin; Grant W Montgomery; Nancy L Saccone; Scott F Saccone; Jen C Wang; Gary A Chase; John P Rice; Dennis G Ballinger Journal: Hum Mol Genet Date: 2006-12-07 Impact factor: 6.150
Authors: Kai Wang; Mingyao Li; Dexter Hadley; Rui Liu; Joseph Glessner; Struan F A Grant; Hakon Hakonarson; Maja Bucan Journal: Genome Res Date: 2007-10-05 Impact factor: 9.043
Authors: T Foroud; H J Edenberg; A Goate; J Rice; L Flury; D L Koller; L J Bierut; P M Conneally; J I Nurnberger; K K Bucholz; T K Li; V Hesselbrock; R Crowe; M Schuckit; B Porjesz; H Begleiter; T Reich Journal: Alcohol Clin Exp Res Date: 2000-07 Impact factor: 3.455
Authors: Jonathan Sebat; B Lakshmi; Dheeraj Malhotra; Jennifer Troge; Christa Lese-Martin; Tom Walsh; Boris Yamrom; Seungtai Yoon; Alex Krasnitz; Jude Kendall; Anthony Leotta; Deepa Pai; Ray Zhang; Yoon-Ha Lee; James Hicks; Sarah J Spence; Annette T Lee; Kaija Puura; Terho Lehtimäki; David Ledbetter; Peter K Gregersen; Joel Bregman; James S Sutcliffe; Vaidehi Jobanputra; Wendy Chung; Dorothy Warburton; Mary-Claire King; David Skuse; Daniel H Geschwind; T Conrad Gilliam; Kenny Ye; Michael Wigler Journal: Science Date: 2007-03-15 Impact factor: 47.728
Authors: Yan Yang; Erwin K Chung; Yee Ling Wu; Stephanie L Savelli; Haikady N Nagaraja; Bi Zhou; Maddie Hebert; Karla N Jones; Yaoling Shu; Kathryn Kitzmiller; Carol A Blanchong; Kim L McBride; Gloria C Higgins; Robert M Rennebohm; Robert R Rice; Kevin V Hackshaw; Robert A S Roubey; Jennifer M Grossman; Betty P Tsao; Daniel J Birmingham; Brad H Rovin; Lee A Hebert; C Yung Yu Journal: Am J Hum Genet Date: 2007-04-26 Impact factor: 11.025
Authors: Leslie A Brick; Matthew C Keller; Valerie S Knopik; John E McGeary; Rohan H C Palmer Journal: Addict Biol Date: 2017-11-27 Impact factor: 4.280
Authors: Daniel H Hovelson; Zhengyu Xue; Matthew Zawistowski; Margaret G Ehm; Elizabeth C Harris; Sophie L Stocker; Annette S Gross; In-Jin Jang; Ichiro Ieiri; Jong-Eun Lee; Lon R Cardon; Stephanie L Chissoe; Gonçalo Abecasis; Matthew R Nelson Journal: Pharmacogenet Genomics Date: 2017-03 Impact factor: 2.089