Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-2-12
pubmed:abstractText
Advances in genomics offer new strategies for assessing the association of common genetic variations at multiple loci and risk of many diseases, including colorectal cancer. Low-penetrance alleles of genes in many biological pathways, such as DNA repair, metabolism, inflammation, cell cycle, apoptosis, and Wnt signaling, may influence the risk of nonfamilial colorectal cancer. To identify susceptibility genes for colorectal cancer, we designed a large-scale case-control association study nested within the Nurses' Health Study (190 cases and 190 controls) and the Health Professionals' Follow-up Study (168 cases and 168 controls). We used a custom GoldenGate (Illumina) oligonucleotide pool assay including 1,536 single nucleotide polymorphisms (SNP) selected in candidate genes from cancer-related pathways, which have been sequenced and genotyped in the SNP500Cancer project; 1,412 of the 1,536 (92%) of the SNPs were genotyped successfully within 388 genes. SNPs in high linkage disequilibrium (r(2) >/= 0.90) with another assayed SNP were excluded from further analyses. As expected by chance (and not significant compared with a corrected Bonferroni P = 0.00004), in the additive model, 11 of 1,253 (0.9%) SNPs had a P(trend) < 0.01 and 38 of 1,253 (3.0%) SNPs had a P(trend) >/= 0.01 and P(trend) < 0.05. Of note, the MGMT Lys(178)Arg (rs2308237) SNP, in linkage disequilibrium with the previously reported MGMT Ile(143)Val SNP, had an inverse association with colorectal cancer risk (MGMT Lys(178)Arg: odds ratio, 0.52; 95% confidence interval, 0.35-0.78; unadjusted P(trend) = 0.0003 for the additive model; gene-based test global P = 0.00003). The SNP500Cancer database and the Illumina GoldenGate Assay allowed us to test a larger number of SNPs than previously possible. We identified several SNPs worthy of investigation in larger studies.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1055-9965
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
311-9
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed-meshheading:18268114-Adult, pubmed-meshheading:18268114-Aged, pubmed-meshheading:18268114-Case-Control Studies, pubmed-meshheading:18268114-Chi-Square Distribution, pubmed-meshheading:18268114-Colorectal Neoplasms, pubmed-meshheading:18268114-Female, pubmed-meshheading:18268114-Follow-Up Studies, pubmed-meshheading:18268114-Genetic Predisposition to Disease, pubmed-meshheading:18268114-Genetic Variation, pubmed-meshheading:18268114-Genotype, pubmed-meshheading:18268114-Humans, pubmed-meshheading:18268114-Linkage Disequilibrium, pubmed-meshheading:18268114-Logistic Models, pubmed-meshheading:18268114-Middle Aged, pubmed-meshheading:18268114-Polymorphism, Genetic, pubmed-meshheading:18268114-Polymorphism, Single Nucleotide, pubmed-meshheading:18268114-Prospective Studies, pubmed-meshheading:18268114-Risk Assessment
pubmed:year
2008
pubmed:articleTitle
Large-scale evaluation of genetic variants in candidate genes for colorectal cancer risk in the Nurses' Health Study and the Health Professionals' Follow-up Study.
pubmed:affiliation
Program in Molecular and Genetic Epidemiology, Department of Epidemiology, Harvard School of Public Health, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. ahazra@hsph.harvard.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies, Research Support, N.I.H., Extramural