SynthesisScientific reports2016
Genome-Wide Meta-Analysis of Cotinine Levels in Cigarette Smokers Identifies Locus at 4q13.2.
Synthesis in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- Using Mendelian randomization analysis to better understand the relationship between mental health and substance use: a systematic review.Psychological medicine · 2021Pooled it
- Genome-wide association meta-analysis of nicotine metabolism and cigarette consumption measures in smokers of European descent.Molecular psychiatry · 2021Pooled it
- Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals.Nature communications · 2020Pooled it
- Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci.Molecular psychiatry · 2020Pooled it
- The genetics of smoking in individuals with chronic obstructive pulmonary disease.Respiratory research · 2018Trial
- Genetic Basis of Tobacco Use Disorder.Genes · 2026Review
- Article
- Dimensional and transdiagnostic phenotypes in psychiatric genome-wide association studies.Molecular psychiatry · 2023Review
- The genetics of falling susceptibility and identification of causal risk factors.Scientific reports · 2023Article
- Multi-Polygenic Analysis of Nicotine Dependence in Individuals of European Ancestry.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Article
- Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network.Patterns (New York, N.Y.) · 2021Article
- Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- Polygenic Risk Scores for Subtyping of Schizophrenia.Schizophrenia research and treatment · 2020Article
- Translational Molecular Approaches in Substance Abuse Research.Handbook of experimental pharmacology · 2020Review
- Validated inference of smoking habits from blood with a finite DNA methylation marker set.European journal of epidemiology · 2019Article
- Genome-wide association study in Finnish twins highlights the connection between nicotine addiction and neurotrophin signaling pathway.Addiction biology · 2019Article
- The effect of body mass index on smoking behaviour and nicotine metabolism: a Mendelian randomization study.Human molecular genetics · 2019Article
- Epigenome-wide association study of serum cotinine in current smokers reveals novel genetically driven loci.Clinical epigenetics · 2019Article
- Distinguishing genetic correlation from causation across 52 diseases and complex traits.Nature genetics · 2018Article
- Prediction of Schizophrenia Diagnosis by Integration of Genetically Correlated Conditions and Traits.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
38 authors at 15 institutions in 6 countries.
Funding
Abstract
Genome-wide association studies (GWAS) of complex behavioural phenotypes such as cigarette smoking typically employ self-report phenotypes. However, precise biomarker phenotypes may afford greater statistical power and identify novel variants. Here we report the results of a GWAS meta-analysis of levels of cotinine, the primary metabolite of nicotine, in 4,548 daily smokers of European ancestry. We identified a locus close to UGT2B10 at 4q13.2 (minimum p = 5.89 × 10(-10) for rs114612145), which was consequently replicated. This variant is in high linkage disequilibrium with a known functional variant in the UGT2B10 gene which is associated with reduced nicotine and cotinine glucuronidation activity, but intriguingly is not associated with nicotine intake. Additionally, we observed association between multiple variants within the 15q25.1 region and cotinine levels, all located within the CHRNA5-A3-B4 gene cluster or adjacent genes, consistent with previous much larger GWAS using self-report measures of smoking quantity. These results clearly illustrate the increase in power afforded by using precise biomarker measures in GWAS. Perhaps more importantly however, they also highlight that biomarkers do not always mark the phenotype of interest. The use of metabolite data as a proxy for environmental exposures should be carefully considered in the context of individual differences in metabolic pathways.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.