Literature DB >> 18711133

Discovering interactions among BRCA1 and other candidate genes associated with sporadic breast cancer.

Shaw-Hwa Lo1, Herman Chernoff, Lei Cong, Yuejing Ding, Tian Zheng.   

Abstract

Analysis of a subset of case-control sporadic breast cancer data, [from the National Cancer Institute's Cancer Genetic Markers of Susceptibility (CGEMS) initiative], focusing on 18 breast cancer-related genes with 304 SNPs, indicates that there are many interesting interactions that form two- and three-way networks in which BRCA1 plays a dominant and central role. The apparent interactions of BRCA1 with many other genes suggests the conjecture that BRCA1 serves as a protective gene and that some mutations in it or in related genes may prevent it from carrying out this protective function even if the patients are not carriers of known cancer-predisposing BRCA1 mutations. The method of analysis features the evaluation of the effect of a gene by averaging the effects of the SNPs covered by that gene. Marginal methods that test one gene at a time fail to show any effect. That may be related to the fact that each of these 18 genes adds very little to the risk of cancer. Analysis that relates the ratio of interactions to the maximum of the first-order effects discovers significant gene pairs and triplets.

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Year:  2008        PMID: 18711133      PMCID: PMC2517604          DOI: 10.1073/pnas.0805242105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

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4.  Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions.

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5.  Fanconi anemia is associated with a defect in the BRCA2 partner PALB2.

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  14 in total

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3.  Gene- or region-based association study via kernel principal component analysis.

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4.  SNP set association analysis for genome-wide association studies.

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5.  A two-stage association study identifies methyl-CpG-binding domain protein 2 gene polymorphisms as candidates for breast cancer susceptibility.

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6.  Genome-wide gene-based analysis of rheumatoid arthritis-associated interaction with PTPN22 and HLA-DRB1.

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7.  Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes.

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8.  Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data.

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9.  A fast and powerful W-test for pairwise epistasis testing.

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10.  Assessing SNP-SNP interactions among DNA repair, modification and metabolism related pathway genes in breast cancer susceptibility.

Authors:  Yadav Sapkota; John R Mackey; Raymond Lai; Conrado Franco-Villalobos; Sasha Lupichuk; Paula J Robson; Karen Kopciuk; Carol E Cass; Yutaka Yasui; Sambasivarao Damaraju
Journal:  PLoS One       Date:  2013-06-03       Impact factor: 3.240

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