ArticleChinese medical journal2012
ANKRD7 and CYTL1 are novel risk genes for alcohol drinking behavior.
Article in Chinese medical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Article
- Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparison.Translational psychiatry · 2019Article
- Protein Cytl1: its role in chondrogenesis, cartilage homeostasis, and disease.Cellular and molecular life sciences : CMLS · 2019Review
- Smoking induces coordinated DNA methylation and gene expression changes in adipose tissue with consequences for metabolic health.Clinical epigenetics · 2018Article
- Human Genetics of Addiction: New Insights and Future Directions.Current psychiatry reports · 2018Review
- Effects of ANK3 variation on gray and white matter in bipolar disorder.Molecular psychiatry · 2017Article
- Test for association of common variants in GRM7 with alcohol consumption.Alcohol (Fayetteville, N.Y.) · 2016Article
- Article
- New diagnostic criteria for alcohol use disorders and novel treatment approaches - 2014 update.Archives of medical science : AMS · 2014Article
- ALDH2 is associated to alcohol dependence and is the major genetic determinant of "daily maximum drinks" in a GWAS study of an isolated rural Chinese sample.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2014Article
- Advances in genetic studies of substance abuse in China.Shanghai archives of psychiatry · 2013Review
Corrections and comments
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Authors and funding
21 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundAlcohol dependence (AD) is a complex disorder characterized by impaired control over drinking. It is determined by both genetic and environmental factors. The recent approach of genome-wide association study (GWAS) is a powerful tool for identifying complex disease-associated susceptibility alleles, however, a few GWASs have been conducted for AD, and their results are largely inconsistent. The present study aimed to screen the loci associated with alcohol-related phenotypes using GWAS technology.
methodsA genome-wide association study with the behavior of regular alcohol drinking and alcohol consumption was performed to identify susceptibility genes associated with AD, using the Affymetrix 500K SNP array in an initial sample consisting of 904 unrelated Caucasian subjects. Then, the initial results in GWAS were replicated in three independent samples: 1972 Caucasians in 593 nuclear families, 761 unrelated Caucasian subjects, and 2955 unrelated Chinese Hans.
resultsSeveral genes were associated with the alcohol-related phenotypes at the genome-wide significance level, with the ankyrin repeat domain 7 gene (ANKRD7) showing the strongest statistical evidence for regular alcohol drinking and suggestive statistical evidence for alcohol consumption. In addition, certain haplotypes within the ANKRD7 and cytokine-like1 (CYTL1) genes were significantly associated with regular drinking behavior, such as one ANKRD7 block composed of the SNPs rs6466686-rs4295599-rs12531086 (P = 6.51 × 10(-8)). The association of alcohol consumption was successfully replicated with rs4295599 in ANKRD7 gene in independent Caucasian nuclear families and independent unrelated Chinese Hans, and with rs16836497 in CYTL1 gene in independent unrelated Caucasians. Meta-analyses based on both the GWAS and replication samples further supported the observed significant associations between the ANKRD7 or CYTL1 gene and alcohol consumption.
conclusionThe evidence suggests that ANKRD7 and CYTL1 genes may play an important role in the variance in AD risk.
Indexed as
Identifiers
22613542PMC4174677W70642354What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.