The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Genome-wide association study of cocaine dependence and related traits: FAM53B identified as a risk gene
Open accessAbstract
We report a genome-wide association study (GWAS) for cocaine dependence (CD) in three sets of African- and European-American subjects (AAs and EAs, respectively) to identify pathways, genes and alleles important in CD risk. The discovery GWAS data set (n=5697 subjects) was genotyped using the Illumina OmniQuad microarray (8 90 000 analyzed single-nucleotide polymorphisms (SNPs)). Additional genotypes were imputed based on the 1000 Genomes reference panel. Top-ranked findings were evaluated by incorporating information from publicly available GWAS data from 4063 subjects. Then, the most significant GWAS SNPs were genotyped in 2549 independent subjects. We observed one genome-wide-significant (GWS) result: rs2629540 at the FAM53B (‘family with sequence similarity 53, member B’) locus. This was supported in both AAs and EAs; P-value (meta-analysis of all samples)=4.28 × 10−8. The gene maps to the same chromosomal region as the maximum peak we observed in a previous linkage study. NCOR2 (nuclear receptor corepressor 2) SNP rs150954431 was associated with P=1.19 × 10−9 in the EA discovery sample. SNP rs2456778, which maps to CDK1 (‘cyclin-dependent kinase 1’), was associated with cocaine-induced paranoia in AAs in the discovery sample only (P=4.68 × 10−8). This is the first study to identify risk variants for CD using GWAS. Our results implicate novel risk loci and provide insights into potential therapeutic and prevention strategies.
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Cites
Principal components analysis corrects for stratification in genome-wide association studies
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METAL: fast and efficient meta-analysis of genomewide association scans
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A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis
Marees, A. T., de Kluiver, H., Stringer, S., Vorspan, F., Curis, E., Marie‐Claire, C., & Derks, E. M. (2018) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1608 · Cited by 828
Tylee, D. S., Sun, J., Hess, J. L., Tahir, M. A., Sharma, E., Malik, R., Worrall, B. B., Levine, A. J., Martinson, J. J., Nejentsev, S., et al. (2018) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32652 · Cited by 219
Evidence of CNIH3 involvement in opioid dependence
Nelson, E. C., Agrawal, A., Heath, A. C., Bogdan, R., Sherva, R., Zhang, B., Al-Hasani, R., Bruchas, M. R., Chou, Y.-L., Demers, C. H., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.102 · Cited by 131
Self-citationGenetic associations with suicide attempt severity and genetic overlap with major depression
Levey, D. F., Polimanti, R., Cheng, Z., Zhou, H., Nuñez, Y. Z., Jain, S., He, F., Sun, X., Ursano, R. J., Kessler, R. C., et al. (2019) · Translational Psychiatry · doi:10.1038/s41398-018-0340-2 · Cited by 124
Self-citationAssociation of Gamma-Aminobutyric Acid A Receptor α2 Gene (GABRA2) with Alcohol Use Disorder
Li, D., Sulovari, A., Cheng, C., Zhao, H., Kranzler, H. R., & Gelernter, J. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.291 · Cited by 103
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Metadata
- Authors
- Gelernter, J., Sherva, R., Koesterer, R., Almasy, L., Zhao, H., Kranzler, H. R., & Farrer, L.
- Venue
- Molecular Psychiatry
- Published
- 2013-08-20
- Volume
- 19
- Issue
- 6
- Pages
- 717-723
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- OpenAlex
- W2090000904
- Cited by
- 181
- References
- 7
- FWCI
- 9.71
- Type
- journal article
- Language
- en
- Open access
- green
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