Article
Multiple colorectal adenomas, classic adenomatous polyposis, and germ-line mutations in MYH.
Molecular and Population Genetics Laboratory, London Research Institute, Cancer Research UK, London, United Kingdom.
New England Journal of Medicine (impact factor:
53.3).
02/2003;
348(9):791-9.
DOI:10.1056/NEJMoa025283
pp.791-9
Source: PubMed
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Citations (0)
- Cited In (14)
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Article: MUTYH Associated Polyposis (MAP).
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ABSTRACT: MUTYH Associated Polyposis (MAP), a Polyposis predisposition caused by biallelic mutations in the Base Excision Repair (BER) gene MUTYH, confers a marked risk of colorectal cancer (CRC). The MAP phenotype is difficult to distinguish from other hereditary CRC syndromes. Especially from Familial Adenomatous Polyposis (FAP) and to a lesser extend Lynch Syndrome, which are caused by germline mutations in the APC and Mismatch Repair (MMR) genes, respectively.Here we review research findings regarding MUTYH interactions, genotypic and phenotypic characteristics of MAP, as well as surveillance and treatment of the disease. The applied papers, published between 1/1 2002- 1/2 2008, were found through PubMed.The exact role of MUTYH in CRC tumorgenesis is still uncertain, although MAP tumors show distinct molecular features, including somatic G:C>T:A transversions in the APC gene. Furthermore, cooperation between the BER and the MMR systems exists, as MUTYH interacts with MMR gene-products. Possibly, monoallelic defects in both pathways are of significance to CRC development.Specific MUTYH variants are found to be characteristic in distinct ethnic populations, which could facilitate future genetic screening. Knowledge concerning functional consequences of many MUTYH germline mutations remains sparse. Most thoroughly investigated are the two most common MUTYH variants, Y179C and G396D, both generating dysfunctional gene products.PHENOTYPIC FEATURES OF MAP INCLUDE: development of 10-100 colorectal adenomas, debuting at 46-47 years, often CRC at time of clinical diagnosis, and in some, development of extracolonic manifestations.Current Genomics 09/2008; 9(6):420-35. · 2.41 Impact Factor -
Article: Genetic testing in colorectal cancer: who, when, how and why.
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ABSTRACT: Colorectal cancer (CRC) is among the most prevalent and preventable forms of cancer worldwide, accounting for over 600,000 deaths in 2005. Both genetic and environmental factors contribute to cancer etiology and estimates suggest that at least one third of CRC has a familial component. There is increased awareness of a strong genetic component to CRC risk, with the identification of several high penetrance alleles that predict increased CRC susceptibility. These include familial adenomatous polyposis (FAP), linked to mutations or deletions of the APC tumor suppressor gene, as well as Lynch syndrome (formerly known as hereditary non-polyposis colorectal cancer or HNPCC), which is linked to mutations or deletions of one or more mismatch repair genes including MLH1, MSH2 and MSH6. In addition, mutations in genes encoding key signaling molecules have been linked to autosomal dominant hamartomatous syndromes that are associated with increased susceptibility to CRC. These include Peutz-Jeghers syndrome, which is linked to mutations in STK11/LKB and Juvenile polyposis, which is linked to mutations in the genes encoding SMAD4 and BMPR1A. In addition to these high penetrance autosomal dominant alleles, recessive mutations in the MYH mismatch repair gene are associated with a phenotype similar to FAP. With the widespread availability of genetic testing for these alleles, physicians will be faced with a complex array of choices in terms of advocating who should be tested, when should such testing take place, how it should be conducted and interpreted and why it changes the management and outcomes for the patient and his or her family.The Keio Journal of Medicine 04/2007; 56(1):14-20. -
Article: Co-clustering phenome-genome for phenotype classification and disease gene discovery.
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ABSTRACT: Understanding the categorization of human diseases is critical for reliably identifying disease causal genes. Recently, genome-wide studies of abnormal chromosomal locations related to diseases have mapped >2000 phenotype-gene relations, which provide valuable information for classifying diseases and identifying candidate genes as drug targets. In this article, a regularized non-negative matrix tri-factorization (R-NMTF) algorithm is introduced to co-cluster phenotypes and genes, and simultaneously detect associations between the detected phenotype clusters and gene clusters. The R-NMTF algorithm factorizes the phenotype-gene association matrix under the prior knowledge from phenotype similarity network and protein-protein interaction network, supervised by the label information from known disease classes and biological pathways. In the experiments on disease phenotype-gene associations in OMIM and KEGG disease pathways, R-NMTF significantly improved the classification of disease phenotypes and disease pathway genes compared with support vector machines and Label Propagation in cross-validation on the annotated phenotypes and genes. The newly predicted phenotypes in each disease class are highly consistent with human phenotype ontology annotations. The roles of the new member genes in the disease pathways are examined and validated in the protein-protein interaction subnetworks. Extensive literature review also confirmed many new members of the disease classes and pathways as well as the predicted associations between disease phenotype classes and pathways.Nucleic Acids Research 06/2012; 40(19):e146. · 8.03 Impact Factor
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Keywords
15 adenomas
APC gene
attenuated familial adenomatous polyposis
base-excision-repair gene MYH
biallelic mutations
biallelic MYH mutations
classic familial adenomatous polyposis
excess somatic transversions
germ-line APC mutation
Germ-line mutations
germ-line MYH mutations
multiple adenomas
multiple colorectal adenomas
OGG1 mutations
pathogenic MTH1
polyposis coli
protein-truncating mutations
recessive inheritance
related genes MTH1
somatic APC mutations