Literature DB >> 20522537

Variation within DNA repair pathway genes and risk of multiple sclerosis.

Farren B S Briggs1, Benjamin A Goldstein, Jacob L McCauley, Rebecca L Zuvich, Philip L De Jager, John D Rioux, Adrian J Ivinson, Alastair Compston, David A Hafler, Stephen L Hauser, Jorge R Oksenberg, Stephen J Sawcer, Margaret A Pericak-Vance, Jonathan L Haines, Lisa F Barcellos.   

Abstract

Multiple sclerosis (MS) is a complex autoimmune disease of the central nervous system with a prominent genetic component. The primary genetic risk factor is the human leukocyte antigen (HLA)-DRB1*1501 allele; however, much of the remaining genetic contribution to MS has not been elucidated. The authors investigated the relation between variation in DNA repair pathway genes and risk of MS. Single-locus association testing, epistatic tests of interactions, logistic regression modeling, and nonparametric Random Forests analyses were performed by using genotypes from 1,343 MS cases and 1,379 healthy controls of European ancestry. A total of 485 single nucleotide polymorphisms within 72 genes related to DNA repair pathways were investigated, including base excision repair, nucleotide excision repair, and double-strand breaks repair. A single nucleotide polymorphism variant within the general transcription factor IIH, polypeptide 4 gene, GTF2H4, on chromosome 6p21.33 was significantly associated with MS (odds ratio = 0.7, P = 3.5 x 10(-5)) after accounting for multiple testing and was not due to linkage disequilibrium with HLA-DRB1*1501. Although other candidate genes examined here warrant further follow-up studies, collectively, these results derived from a well-powered study do not support a strong role for common variation within DNA repair pathway genes in MS.

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Year:  2010        PMID: 20522537      PMCID: PMC3658128          DOI: 10.1093/aje/kwq086

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  53 in total

1.  Cigarette smoking and incidence of multiple sclerosis.

Authors:  M A Hernán; M J Olek; A Ascherio
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2.  The structure of haplotype blocks in the human genome.

Authors:  Stacey B Gabriel; Stephen F Schaffner; Huy Nguyen; Jamie M Moore; Jessica Roy; Brendan Blumenstiel; John Higgins; Matthew DeFelice; Amy Lochner; Maura Faggart; Shau Neen Liu-Cordero; Charles Rotimi; Adebowale Adeyemo; Richard Cooper; Ryk Ward; Eric S Lander; Mark J Daly; David Altshuler
Journal:  Science       Date:  2002-05-23       Impact factor: 47.728

3.  The International HapMap Project.

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4.  SIFT: Predicting amino acid changes that affect protein function.

Authors:  Pauline C Ng; Steven Henikoff
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

5.  Smoking is a risk factor for multiple sclerosis.

Authors:  Trond Riise; Monica W Nortvedt; Alberto Ascherio
Journal:  Neurology       Date:  2003-10-28       Impact factor: 9.910

Review 6.  Human DNA repair genes, 2005.

Authors:  Richard D Wood; Michael Mitchell; Tomas Lindahl
Journal:  Mutat Res       Date:  2005-09-04       Impact factor: 2.433

7.  Mapping multiple sclerosis susceptibility to the HLA-DR locus in African Americans.

Authors:  Jorge R Oksenberg; Lisa F Barcellos; Bruce A C Cree; Sergio E Baranzini; Teodorica L Bugawan; Omar Khan; Robin R Lincoln; Amy Swerdlin; Emmanuel Mignot; Ling Lin; Douglas Goodin; Henry A Erlich; Silke Schmidt; Glenys Thomson; David E Reich; Margaret A Pericak-Vance; Jonathan L Haines; Stephen L Hauser
Journal:  Am J Hum Genet       Date:  2003-12-10       Impact factor: 11.025

8.  Quantitative and qualitative changes in gene expression patterns characterize the activity of plaques in multiple sclerosis.

Authors:  Lotti Tajouri; Albert S Mellick; Kevin J Ashton; Anthony E G Tannenberg; Rashed M Nagra; Wallace W Tourtellotte; Lyn R Griffiths
Journal:  Brain Res Mol Brain Res       Date:  2003-11-26

9.  Diagnostic criteria for primary progressive multiple sclerosis: a position paper.

Authors:  A J Thompson; X Montalban; F Barkhof; B Brochet; M Filippi; D H Miller; C H Polman; V L Stevenson; W I McDonald
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10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

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1.  TRM: a powerful two-stage machine learning approach for identifying SNP-SNP interactions.

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Journal:  Ann Hum Genet       Date:  2011-12-11       Impact factor: 1.670

Review 2.  Random forests for genetic association studies.

Authors:  Benjamin A Goldstein; Eric C Polley; Farren B S Briggs
Journal:  Stat Appl Genet Mol Biol       Date:  2011-07-12

3.  Genetic variant in DNA repair gene GTF2H4 is associated with lung cancer risk: a large-scale analysis of six published GWAS datasets in the TRICL consortium.

Authors:  Meilin Wang; Hongliang Liu; Zhensheng Liu; Xiaohua Yi; Heike Bickeboller; Rayjean J Hung; Paul Brennan; Maria Teresa Landi; Neil Caporaso; David C Christiani; Jennifer Anne Doherty; Christopher I Amos; Qingyi Wei
Journal:  Carcinogenesis       Date:  2016-06-10       Impact factor: 4.944

4.  Genetic variants of genes in the NER pathway associated with risk of breast cancer: A large-scale analysis of 14 published GWAS datasets in the DRIVE study.

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Journal:  Int J Cancer       Date:  2019-05-13       Impact factor: 7.396

5.  Tolerance of activated pathogenic CD4+ T cells by transcriptional targeting of dendritic cells.

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Journal:  Gene Ther       Date:  2015-03-05       Impact factor: 5.250

Review 6.  An overview of DNA repair in amyotrophic lateral sclerosis.

Authors:  Fabio Coppedè
Journal:  ScientificWorldJournal       Date:  2011-10-17

Review 7.  Base excision repair in physiology and pathology of the central nervous system.

Authors:  Matthias Bosshard; Enni Markkanen; Barbara van Loon
Journal:  Int J Mol Sci       Date:  2012-11-30       Impact factor: 5.923

8.  Impact of natural genetic variation on gene expression dynamics.

Authors:  Marit Ackermann; Weronika Sikora-Wohlfeld; Andreas Beyer
Journal:  PLoS Genet       Date:  2013-06-06       Impact factor: 5.917

9.  An AUC-based permutation variable importance measure for random forests.

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Journal:  BMC Bioinformatics       Date:  2013-04-05       Impact factor: 3.169

10.  Distinct gene loci control the host response to influenza H1N1 virus infection in a time-dependent manner.

Authors:  Tatiana Nedelko; Heike Kollmus; Frank Klawonn; Sabine Spijker; Lu Lu; Manuela Heßman; Rudi Alberts; Robert W Williams; Klaus Schughart
Journal:  BMC Genomics       Date:  2012-08-20       Impact factor: 3.969

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