SynthesisBiological psychiatry2019
Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use.
Synthesis in Biological psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.
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Who cites it
49 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes.Nature human behaviour · 2024Pooled it
- Assessment of the Association of D2 Dopamine Receptor Gene and Reported Allele Frequencies With Alcohol Use Disorders: A Systematic Review and Meta-analysis.JAMA network open · 2019Pooled it
- Methods for the Analysis and Interpretation for Rare Variants Associated with Complex Traits.Current protocols in human genetics · 2019Pooled it
- Genome-wide association study of delay discounting identifies 11 loci and reveals transdiagnostic associations across mental and physical health.Molecular psychiatry · 2026Article
- Genome-wide association studies of lifetime and frequency of cannabis use in 131,895 individuals.Molecular psychiatry · 2026Article
- Genetic and environmental influences on alcohol consumption in middle to late life.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025Article
- Shared biological pathways linking ADHD and cortisol variability are related to externalizing behaviors.Psychoneuroendocrinology · 2025Article
- Unraveling time-dependent genetic components underlying alcohol response.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Next-generation biomarkers for alcohol consumption and alcohol use disorder diagnosis, prognosis, and treatment: A critical review.Alcohol, clinical & experimental research · 2025Review
- The increasing authorship trend in neuroscience: A scientometric analysis across 11 countries.IBRO neuroscience reports · 2024Article
- A multi-ancestry cerebral cortex transcriptome-wide association study identifies genes associated with smoking behaviors.Molecular psychiatry · 2024Article
- Whole exome sequencing analysis identifies genes for alcohol consumption.Nature communications · 2024Article
- Pleiotropy and genetically inferred causality linking multisite chronic pain to substance use disorders.Molecular psychiatry · 2024Article
- A phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals.EBioMedicine · 2024Article
- Article
- Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Analysis of the brain transcriptome for substance-associated genes: An update on large-scale genome-wide association studies.Addiction biology · 2023Article
- The collaborative study on the genetics of alcoholism: Genetics.Genes, brain, and behavior · 2023Review
- Multi-ancestry meta-analysis of tobacco use disorder prioritizes novel candidate risk genes and reveals associations with numerous health outcomes.medRxiv : the preprint server for health sciences · 2023Article
- Rare coding variants in CHRNB2 reduce the likelihood of smoking.Nature genetics · 2023Article
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Abstract
backgroundSmoking and alcohol use have been associated with common genetic variants in multiple loci. Rare variants within these loci hold promise in the identification of biological mechanisms in substance use. Exome arrays and genotype imputation can now efficiently genotype rare nonsynonymous and loss of function variants. Such variants are expected to have deleterious functional consequences and to contribute to disease risk.
methodsWe analyzed ∼250,000 rare variants from 16 independent studies genotyped with exome arrays and augmented this dataset with imputed data from the UK Biobank. Associations were tested for five phenotypes: cigarettes per day, pack-years, smoking initiation, age of smoking initiation, and alcoholic drinks per week. We conducted stratified heritability analyses, single-variant tests, and gene-based burden tests of nonsynonymous/loss-of-function coding variants. We performed a novel fine-mapping analysis to winnow the number of putative causal variants within associated loci.
resultsMeta-analytic sample sizes ranged from 152,348 to 433,216, depending on the phenotype. Rare coding variation explained 1.1% to 2.2% of phenotypic variance, reflecting 11% to 18% of the total single nucleotide polymorphism heritability of these phenotypes. We identified 171 genome-wide associated loci across all phenotypes. Fine mapping identified putative causal variants with double base-pair resolution at 24 of these loci, and between three and 10 variants for 65 loci. Twenty loci contained rare coding variants in the 95% credible intervals.
conclusionsRare coding variation significantly contributes to the heritability of smoking and alcohol use. Fine-mapping genome-wide association study loci identifies specific variants contributing to the biological etiology of substance use behavior.
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