GeneSet Information

Tier IV GS410468 • Nearest genes to lead SNPs for tobacco use disorder cross-ancestry meta-analysis (TUD-multi+UKBB)_pvalue

DESCRIPTION:

103 lead SNPs (83 independent loci) for the tobacco use disorder cross-ancestry meta-analysis, including the UK Biobank sample ("TUD-multi+UKBB"). The primary multi-ancestry meta-analysis of 20,801,211 imputed SNPs (lambda λGC=1.141, Figure 2) was performed on seven cohorts from four U.S. biobanks, comprising 653,790 individuals with TUD phecode data available, with 75.71% EUR, 17.50% AA, and 6.79% LA. We defined cases as patients who received at least two TUD ICD-9 or −10 codes (corresponding to the phecode definition) in their medical records, and controls as patients who had no TUD diagnosis codes. The summary statistics for TUD in UKBB were downloaded from the GWAS atlas (https://atlas.ctglab.nl/traitDB/3439). In UKBB only, cases were defined as having 1 ICD-10 code for TUD, and controls had none (10,287 cases and 234,603 controls). Genome-wide significant (GWS) loci were defined as those with p<5.00E-08 with LD r2>0.1, within a 1MB window, based on the structure of the Haplotype Reference Consortium (HRC) multi-ancestry reference panel for the multi-ancestry meta-analysis, or the HRC ancestry-appropriate reference panel otherwise. To identify TUD risk loci and lead SNPs, we performed LD clumping in FUMA41 using a range of 3 Mb, r2 >0.1, and the respective ancestry 1000 Genome reference panel. Genomic risk loci that were located <1Mb apart were incorporated into a single locus. For loci that harbored multiple variants, we used conditional & joint association analysis using GWAS summary statistics (COJO) in Genome-wide Complex Trait Analysis (GCTA) software to define independent variants by conditioning them on the most significant variant within each locus. Following conditioning, significant variants (p<5.00E-08) were considered independent. From supplementary table 8.

LABEL:

Lead SNP loci TUD-multi+UKBB_pvalue

SCORE TYPE:

P-Value

THRESHOLD:

<= 0.5

GENES IN THRESHOLD:

78

DATE ADDED:

2025-02-11

DATE UPDATED:

2025-06-30

SPECIES:

AUTHORS:

Sylvanus Toikumo, Mariela V Jennings, Benjamin K Pham, Hyunjoon Lee, Travis T Mallard, Sevim B Bianchi, John J Meredith, Laura Vilar-Ribó, Heng Xu, Alexander S Hatoum, Emma C Johnson, Vanessa K Pazdernik, Zeal Jinwala, Shreya R Pakala, Brittany S Leger, Maria Niarchou, Michael Ehinmowo, , Greg D Jenkins, Anthony Batzler, Richard Pendegraft, Abraham A Palmer, Hang Zhou, Joanna M Biernacka, Brandon J Coombes, Joel Gelernter, Ke Xu, Dana B Hancock, Nancy J Cox, Jordan W Smoller, Lea K Davis, Amy C Justice, Henry R Kranzler, Rachel L Kember, Sandra Sanchez-Roige

TITLE:

Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes.

JOURNAL:

Nature human behaviour Jun 2024, Vol 8, pp. 1177-1193

ABSTRACT:

Tobacco use disorder (TUD) is the most prevalent substance use disorder in the world. Genetic factors influence smoking behaviours and although strides have been made using genome-wide association studies to identify risk variants, most variants identified have been for nicotine consumption, rather than TUD. Here we leveraged four US biobanks to perform a multi-ancestral meta-analysis of TUD (derived via electronic health records) in 653,790 individuals (495,005 European, 114,420 African American and 44,365 Latin American) and data from UK Biobank (ncombined = 898,680). We identified 88 independent risk loci; integration with functional genomic tools uncovered 461 potential risk genes, primarily expressed in the brain. TUD was genetically correlated with smoking and psychiatric traits from traditionally ascertained cohorts, externalizing behaviours in children and hundreds of medical outcomes, including HIV infection, heart disease and pain. This work furthers our biological understanding of TUD and establishes electronic health records as a source of phenotypic information for studying the genetics of TUD. PUBMED: 38632388
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Annotation Information

No sequence read archive data associated with this GeneSet.


Disease (D004194)
Meta-Analysis (D017418)
Genetics (D005823)
HIV Infections (D015658)
Substance-Related Disorders (D019966)
Patients (D010361)
Heart Diseases (D006331)
International Classification of Diseases (D038801)
Biological Products (D001688)
Smoking (D012907)
Electronic Health Records (D057286)
Genome-Wide Association Study (D055106)
African Americans (D001741)
Tobacco Use Disorder (D014029)
Multifactorial Inheritance (D020412)
Haplotypes (D006239)
Medical Records (D008499)
Diagnosis (D003933)
Infection (D007239)
Biological Specimen Banks (D018070)
Polymorphism, Single Nucleotide (D020641)
Association (D001244)
Nicotine (D009538)
cervical vertebra 1 (MA:0001421)
Biostatistics (EDAM_topic:2269)
Map position (EDAM_data:2012)
(S)-nicotine (CHEBI:17688)
heart disease (DOID:114)
disease (DOID:4)
human immunodeficiency virus infectious disease (DOID:526)
nicotine dependence (DOID:0050742)
infection (EFO:0000544)
smoking behavior (EFO:0004318)
HIV infection (EFO:0000764)
infectious disease (EFO:0005741)
nicotine dependence (EFO:0003768)
Caucasian (EFO:0003156)
heart disease (EFO:0003777)
vertebral bone 1 (UBERON:0001092)
skeletal joint (UBERON:0000982)
primary circulatory organ (UBERON:0007100)
circulatory organ (UBERON:0015228)
anatomical point connecting sagittal and lambdoidal sutures (UBERON:0013424)
dorsal vessel heart (UBERON:0015230)
adult cerebral ganglion (UBERON:6110636)

Gene List • 78 Genes

Genes in threshold: 78

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