Linked Life Data

18317873

Source:http://linkedlifedata.com/resource/pubmed/id/18317873

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2008-5-8
pubmed:abstractText
A scan of 4,190 single-nucleotide polymorphisms (SNPs) in 199 different genes using 38 different quantitative traits to search for associations between genotypes and phenotypes detected an association between the genotypes at rs671 of ALDH2 and gamma-glutamyltranspeptidase (gamma-GTP) levels. We examined the associations between five factors such as gender, age, rs671 genotype, alcohol-drinking habit, and serum gamma-GTP level and found that all pairs were associated except for the pair of rs671 genotype and gender and rs671 genotype and age. We further analyzed the data by both multiple regression and subgroup analyses and found that the associations between rs671 genotype and alcohol-drinking habit, alcohol-drinking habit and gamma-GTP level, gender and gamma-GTP, and age and gamma-GTP were independent of other factors. Conversely, the association between rs671 genotype and gamma-GTP level was dependent on alcohol-drinking habit. Associations between genetic and environmental factors will become a focus of medical and biological studies. Our study has shown that (1) a large sample size combined with a replication study is necessary to overcome the multiple-comparison problem, and (2) subgroup analysis along with logistic and linear multiple regression analysis may be useful to dissect a complicated relationship.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1434-5161
pubmed:author
pubmed:issnType
Print
pubmed:volume
53
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
425-38
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Statistical analysis of the associations between polymorphisms within aldehyde dehydrogenase 2 (ALDH2), and quantitative and qualitative traits extracted from a large-scale database of Japanese single-nucleotide polymorphisms (SNPs).
pubmed:affiliation
Division of Genomic Medicine, Department of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 10-22 Kawada-cho, Shinjuku-ku, Tokyo 162-0054, Japan.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't