ArticleBioinformatics (Oxford, England)2008
Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence.
Article in Bioinformatics (Oxford, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.
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Who cites it
47 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genome-wide association study of obsessive-compulsive disorder.Molecular psychiatry · 2013Pooled it
- Modeling complex genetic and environmental influences on comorbid bipolar disorder with tobacco use disorder.BMC medical genetics · 2010Pooled it
- Enlightening the molecular mechanisms of type 2 diabetes with a novel pathway clustering and pathway subnetwork approach.Turkish journal of biology = Turk biyoloji dergisi · 2022Article
- Traumatic events during childhood and its risks to substance use in adulthood: an observational and genome-wide by environment interaction study in UK Biobank.Translational psychiatry · 2021Observational
- Pharmacogenetics factors influencing smoking cessation success; the importance of nicotine metabolism.Expert opinion on drug metabolism & toxicology · 2021Review
- Incorporating Functional Genomic Information in Genetic Association Studies Using an Empirical Bayes Approach.Genetic epidemiology · 2016Article
- Genetic scores of smoking behaviour in a Chinese population.Scientific reports · 2016Article
- nAChR dysfunction as a common substrate for schizophrenia and comorbid nicotine addiction: Current trends and perspectives.Schizophrenia research · 2016Review
- Smokescreen: a targeted genotyping array for addiction research.BMC genomics · 2016Article
- Prioritizing Genes Related to Nicotine Addiction Via a Multi-source-Based Approach.Molecular neurobiology · 2015Article
- Insights from GWAS: emerging landscape of mechanisms underlying complex trait disease.BMC genomics · 2015Article
- Guilt by rewiring: gene prioritization through network rewiring in genome wide association studies.Human molecular genetics · 2014Article
- [¹²⁵I]AT-1012, a new high affinity radioligand for the α3β4 nicotinic acetylcholine receptors.Neuropharmacology · 2014Article
- Chemogenomics knowledgebased polypharmacology analyses of drug abuse related G-protein coupled receptors and their ligands.Frontiers in pharmacology · 2014Article
- Comparing the efficacy of SNP filtering methods for identifying a single causal SNP in a known association region.Annals of human genetics · 2014Article
- Scaffold ranking and positional scanning utilized in the discovery of nAChR-selective compounds suitable for optimization studies.Journal of medicinal chemistry · 2013Article
- A review of post-GWAS prioritization approaches.Frontiers in genetics · 2013Review
- Importance of different types of prior knowledge in selecting genome-wide findings for follow-up.Genetic epidemiology · 2013Article
- SNP prioritization using a Bayesian probability of association.Genetic epidemiology · 2013Article
- Article
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Authors and funding
7 authors.
Funding
Abstract
motivationA challenging problem after a genome-wide association study (GWAS) is to balance the statistical evidence of genotype-phenotype correlation with a priori evidence of biological relevance.
resultsWe introduce a method for systematically prioritizing single nucleotide polymorphisms (SNPs) for further study after a GWAS. The method combines evidence across multiple domains including statistical evidence of genotype-phenotype correlation, known pathways in the pathologic development of disease, SNP/gene functional properties, comparative genomics, prior evidence of genetic linkage, and linkage disequilibrium. We apply this method to a GWAS of nicotine dependence, and use simulated data to test it on several commercial SNP microarrays. AVAILABILITY: A comprehensive database of biological prioritization scores for all known SNPs is available at http://zork.wustl.edu/gin. This can be used to prioritize nicotine dependence association studies through a straightforward mathematical formula-no special software is necessary. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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