Title | Deep sequencing of candidate genes identified 14 variants associated with smoking abstinence in an ethnically diverse sample. |
Publication Type | Journal Article |
Year of Publication | 2024 |
Authors | Cinciripini, PM, Wetter, DW, Wang, J, Yu, R, Kypriotakis, G, Kumar, T, Robinson, JD, Cui, Y, Green, CE, Bergen, AW, Kosten, TR, Scherer, SE, Shete, S |
Journal | Sci Rep |
Volume | 14 |
Issue | 1 |
Pagination | 6385 |
Date Published | 2024 Mar 16 |
ISSN | 2045-2322 |
Keywords | Bupropion, Forkhead Transcription Factors, High-Throughput Nucleotide Sequencing, Humans, Nicotinic Agonists, Repressor Proteins, Smoking, Smoking Cessation |
Abstract | Despite the large public health toll of smoking, genetic studies of smoking cessation have been limited with few discoveries of risk or protective loci. We investigated common and rare variant associations with success in quitting smoking using a cohort from 8 randomized controlled trials involving 2231 participants and a total of 10,020 common and 24,147 rare variants. We identified 14 novel markers including 6 mapping to genes previously related to psychiatric and substance use disorders, 4 of which were protective (CYP2B6 (rs1175607105), HTR3B (rs1413172952; rs1204720503), rs80210037 on chr15), and 2 of which were associated with reduced cessation (PARP15 (rs2173763), SCL18A2 (rs363222)). The others mapped to areas associated with cancer including FOXP1 (rs1288980) and ZEB1 (rs7349). Network analysis identified significant canonical pathways for the serotonin receptor signaling pathway, nicotine and bupropion metabolism, and several related to tumor suppression. Two novel markers (rs6749438; rs6718083) on chr2 are flanked by genes associated with regulation of bodyweight. The identification of novel loci in this study can provide new targets of pharmacotherapy and inform efforts to develop personalized treatments based on genetic profiles. |
DOI | 10.1038/s41598-024-56750-7 |
Alternate Journal | Sci Rep |
PubMed ID | 38493193 |
PubMed Central ID | PMC10944542 |
Grant List | P30 CA016672 / CA / NCI NIH HHS / United States R01 DA011822 / DA / NIDA NIH HHS / United States P60 MD000503 / MD / NIMHD NIH HHS / United States R01 DA024709 / DA / NIDA NIH HHS / United States R01 CA094826 / CA / NCI NIH HHS / United States R01 DA014818 / DA / NIDA NIH HHS / United States R01 DA017073 / DA / NIDA NIH HHS / United States R01 DA018875 / DA / NIDA NIH HHS / United States UM1 TR004409 / TR / NCATS NIH HHS / United States |
Deep sequencing of candidate genes identified 14 variants associated with smoking abstinence in an ethnically diverse sample.
Similar Publications
DNA Methylation-Derived Immune Cell Proportions and Cancer Risk in Black Participants. Cancer Res Commun. 2024;4(10):2714-2723. | .
StratoMod: predicting sequencing and variant calling errors with interpretable machine learning. Commun Biol. 2024;7(1):1316. | .
Identification of allele-specific KIV-2 repeats and impact on Lp(a) measurements for cardiovascular disease risk. BMC Med Genomics. 2024;17(1):255. | .