Novel human genome variants associated with alcohol use disorders identified in a Lithuanian cohort
Genetics
Karolis Baronas
Tautvydas Rančelis
Aidas Pranculis
Ingrida Domarkienė
Laima Ambrozaitytė
Vaidutis Kučinskas
Published 2018-05-14
https://doi.org/10.6001/actamedica.v25i1.3698
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Keywords

Alcohol Use Disorder
Illumina HiScanSQ
genotyping
NALCN
SLC6A4

How to Cite

Baronas K., Rančelis T., Pranculis A., Domarkienė I., Ambrozaitytė L. and Kučinskas V. (2018) “Novel human genome variants associated with alcohol use disorders identified in a Lithuanian cohort”, Acta medica Lituanica, 25(1), pp. 7-13. doi: 10.6001/actamedica.v25i1.3698.
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Vol 25 No 1 (2018)

Novel human genome variants associated with alcohol use disorders identified in a Lithuanian cohort

Abstract

Background. Alcohol use disorder (AUD) is a chronic relapsing brain disease characterized by compulsive alcohol use, loss of control over alcohol intake, and a negative emotional state when not using (1). Abusive alcohol consumption directly affects a person’s physical and psychological health and social life. The World Health Organization has shown that Lithuania is a leading country in pure alcohol consumption in the world (2). The aim of this study is to find novel genome variants that are associated with the AUD in the Lithuanian cohort. Materials and methods. A case-control study included 294 individuals of Lithuanian ethnicity, who were divided into two groups based on their habits of alcohol use. Single nucleotide polymorphism array analysis was performed using Illumina HiScanSQ™ genome analyzer. Results. Our study showed that rs686141T>C variant in NALCN gene is more prevalent in the non-drinker group compared to the alcohol drinker group (relative allele frequency, respectively: 0.38 and 0.27, OR = 0.60 (CI 95% 0.37–0.98), p = 0.0408). Meanwhile, rs6354C>A, in SLC6A4 gene, variant’s genotype distribution showed statistically significant difference between the non-drinker and alcohol drinker group (distribution of genotypes in the case group: 9/72/172 (CC/CA/AA) and in the control group: 5/7/29, p = 0.0264). Conclusion. We analyzed 23 genes associated with AUD and identified two novel genome variants (rs686141T>C and rs6354C>A). The study shows that genome analysis is an important tool for AUD research. The results supplement the known information about genes associated with AUD.
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