Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A genome-wide tree- and forest-based association analysis of comorbidity of alcoholism and smoking.

BMC genetics - 30 Dec 2005

Ye Yuanqing, Zhong Xiaoyun, Zhang Heping

Abstract excerpt

Genetic mechanisms underlying alcoholism are complex. Understanding the etiology of alcohol dependence and its comorbid conditions such as smoking is important because of the significant health concerns. In this report, we describe a method based on classification trees and deterministic forests for association studies to perform a genome-wide joint association analysis of alcoholism and smoking. This approach is...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alcoholism
Share to Databases, Genetic
Share to Decision Trees

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Oligonucleotide Array Sequence Analysis

Share to Polymorphism, Single Nucleotide

Share to Smoking

Source

Open in PubMed Open full text

Identifiers

PMID: 16451594
DOI: 10.1186/1471-2156-6-S1-S135
PMCID: PMC1866801

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A genome-wide tree- and forest-based association analysis of comorbidity of alcoholism and smoking.PMID 16451594Read ↗

TARV: tree-based analysis of rare variants identifying risk modifying variants in CTNNA2 and CNTNAP2 for alcohol addiction.Semantic proximity Read ↗

Decision forest analysis of large-scale sib-pair identical-by-decent profiles for locating the underlying disease genes for alcoholism in human.Semantic proximity Read ↗

Description of the data from the Collaborative Study on the Genetics of Alcoholism (COGA) and single-nucleotide polymorphism genotyping for Genetic Analysis Workshop 14.Semantic proximity Read ↗

SNP by SNP by environment interaction network of alcoholism.Semantic proximity Read ↗

Association and interaction analyses of 5-HT3 receptor and serotonin transporter genes with alcohol, cocaine, and nicotine dependence using the SAGE data.Semantic proximity Read ↗

Data mining, neural nets, trees--problems 2 and 3 of Genetic Analysis Workshop 15.Semantic proximity Read ↗

Exploring the genetic architecture of alcohol dependence in African-Americans via analysis of a genomewide set of common variants.Semantic proximity Read ↗

Cross-Species Integration of Transcriptomic Effects of Tobacco and Nicotine Exposure Helps to Prioritize Genetic Effects on Human Tobacco ConsumptionSemantic proximity Read ↗

Genetic variants in the fat mass- and obesity-associated (FTO) gene are associated with alcohol dependence.Semantic proximity Read ↗

Use of classification trees for association studies.Semantic proximity Read ↗

Genetically determined tobacco and alcohol use and risk of atrial fibrillation.Semantic proximity Read ↗

Application of a rank-based genetic association test to age-at-onset data from the Collaborative Study on the Genetics of Alcoholism study.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.