GeneSet Information

Tier IV GS410476 • Gene-based association analyses (MAGMA) of tobacco use disorder in European ancestry (TUD-EUR)_qvalue

DESCRIPTION:

Bonferroni-significant results (p<2.63E-06) of gene-based association analyses (MAGMA) for TUD-EUR. We conducted independent GWAS of TUD cases and controls in individuals of European (EUR) ancestry across four U.S. biobanks (PsycheMERGE sites (BioVU, MGBB, PMBB, and MVP)) and performed a GWAS meta-analysis. 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. TUD-EUR included 11,422,241 imputed SNPs in a cohort of 163,734 TUD cases and 331,271 controls, which is 8.5 times larger than the total sample size of previous nicotine dependence GWAS. 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) ancestry-appropriate reference panel. To identify TUD risk loci and lead SNPs, we performed LD clumping in FUMA 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. To further our biological interpretation of the TUD-EUR GWAS results and prioritize potential candidate genes and proteins, we performed multiple in silico downstream analyses. We conducted gene-based analyses via MAGMA v1.0841, which; Supplementary Table 15). SNPs were mapped to 19,532 protein-coding genes from Ensembl (build 85). We applied a Bonferroni correction based on the total number of genes tested (p<2.63E−06). Gene sets were obtained from Msigdb v7.0 (“Curated gene sets”, “GO terms”). The MAGMA analysis mapped SNP-level associations to 91 significant genes (p<2.63E-06), 20 (21.62%) of which replicated genes near or in GWS loci (e.g., CHRNA3, CHRNA4, KDM4A, DBH). P-values were 2-sided. The following geneset contains the results of MAGMA from the TUD-EUR analysis. From supplementary table 15.

LABEL:

MAGMA TUD-EUR_qvalue

SCORE TYPE:

Q-Value

THRESHOLD:

<= 0.5

GENES IN THRESHOLD:

85

DATE ADDED:

2025-02-11

DATE UPDATED:

2025-06-23

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)
Clinical Coding (D059019)
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)
Proteins (D011506)
Tobacco Use Disorder (D014029)
Multifactorial Inheritance (D020412)
Haplotypes (D006239)
Diagnosis (D003933)
Infection (D007239)
Biological Specimen Banks (D018070)
Polymorphism, Single Nucleotide (D020641)
Association (D001244)
Nicotine (D009538)
Biostatistics (EDAM_topic:2269)
Map position (EDAM_data:2012)
Nucleic acid features (SNP) (EDAM_data:2092)
Protein analysis (EDAM_topic:0078)
(S)-nicotine (CHEBI:17688)
protein polypeptide chain (CHEBI:16541)
propyzamide (CHEBI:34935)
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)
skeletal joint (UBERON:0000982)
primary circulatory organ (UBERON:0007100)
circulatory organ (UBERON:0015228)
dorsal vessel heart (UBERON:0015230)
adult cerebral ganglion (UBERON:6110636)

Gene List • 85 Genes

Genes in threshold: 85

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