Literature DB >> 17377519

Meta-analysis of genome-wide linkage studies for multiple sclerosis, using an extended GSMA method.

Jane Hermanowski1, Emmanuelle Bouzigon, Paola Forabosco, Mandy Y Ng, Sheila A Fisher, Cathryn M Lewis.   

Abstract

Many genome-wide linkage studies in multiple sclerosis (MS) have been performed, but results are disappointing, with linkage confirmed only in the HLA region. We combined results from all available, non-overlapping genome-wide linkage studies in MS using the Genome Search Meta-Analysis method (GSMA). The GSMA is a rank-based analysis, which assesses the strongest evidence for linkage within bins of traditionally 30 cM width on the autosomes and X chromosome. Genome-wide evidence for linkage was confirmed on chromosome 6p (HLA region; P=0.00004). Suggestive evidence for linkage was found on chromosomes 10q (P=0.0077), 18p (P=0.0054) and 20p (P=0.0079). To explore how these results could be affected by bin definition, we analysed the data using different bin widths (20 and 40 cM) and using a shifted 30 cM bin by moving bin boundaries by 15 cM. Consistently significant results were obtained for the 6p region. The regions on 10q and 18p provided suggestive evidence for linkage in some analyses, and, interestingly, a region on 6q, that showed only nominal significance in the original analysis, yielded increased, suggestive significance in two of the additional analyses. These regions may provide targets to focus candidate gene studies or to prioritise results from genome-wide association studies.

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Year:  2007        PMID: 17377519     DOI: 10.1038/sj.ejhg.5201818

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  9 in total

1.  Meta-analysis of 20 genome-wide linkage studies evidenced new regions linked to asthma and atopy.

Authors:  Emmanuelle Bouzigon; Paola Forabosco; Gerard H Koppelman; William O C M Cookson; Marie-Hélène Dizier; David L Duffy; David M Evans; Manuel A R Ferreira; Juha Kere; Tarja Laitinen; Giovanni Malerba; Deborah A Meyers; Miriam Moffatt; Nicholas G Martin; Mandy Y Ng; Pier Franco Pignatti; Mathias Wjst; Francine Kauffmann; Florence Demenais; Cathryn M Lewis
Journal:  Eur J Hum Genet       Date:  2010-01-13       Impact factor: 4.246

Review 2.  Meta-analysis of genome-wide linkage scans for renal function traits.

Authors:  Madhumathi Rao; Amy K Mottl; Shelley A Cole; Jason G Umans; Barry I Freedman; Donald W Bowden; Carl D Langefeld; Caroline S Fox; Qiong Yang; Adrienne Cupples; Sudha K Iyengar; Steven C Hunt; Thomas A Trikalinos
Journal:  Nephrol Dial Transplant       Date:  2011-05-28       Impact factor: 5.992

3.  Association between the IL7R T244I polymorphism and multiple sclerosis: a meta-analysis.

Authors:  Ruijie Zhang; Lian Duan; Yongshuai Jiang; Xuehong Zhang; Peng Sun; Jin Li; Mingming Zhang; Guoping Tang; Xing Wang; Xia Li
Journal:  Mol Biol Rep       Date:  2010-12-16       Impact factor: 2.316

4.  Analysis of susceptible genes and chromosome loci for lung cancers by automated gene prediction tools and genome scanning meta-analysis.

Authors:  Yu Tian; Daoxin Wang
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01

5.  Meta-analysis of genome-wide linkage studies across autoimmune diseases.

Authors:  Paola Forabosco; Emmanuelle Bouzigon; Mandy Y Ng; Jane Hermanowski; Sheila A Fisher; Lindsey A Criswell; Cathryn M Lewis
Journal:  Eur J Hum Genet       Date:  2008-09-10       Impact factor: 4.246

Review 6.  A review of genome-wide association studies for multiple sclerosis: classical and hypothesis-driven approaches.

Authors:  V V Bashinskaya; O G Kulakova; A N Boyko; A V Favorov; O O Favorova
Journal:  Hum Genet       Date:  2015-09-25       Impact factor: 4.132

7.  Meta-analysis of 15 genome-wide linkage scans of smoking behavior.

Authors:  Shizhong Han; Joel Gelernter; Xingguang Luo; Bao-Zhu Yang
Journal:  Biol Psychiatry       Date:  2010-01-01       Impact factor: 13.382

8.  Uncoupling the roles of HLA-DRB1 and HLA-DRB5 genes in multiple sclerosis.

Authors:  Stacy J Caillier; Farren Briggs; Bruce A C Cree; Sergio E Baranzini; Marcelo Fernandez-Viña; Patricia P Ramsay; Omar Khan; Walter Royal; Stephen L Hauser; Lisa F Barcellos; Jorge R Oksenberg
Journal:  J Immunol       Date:  2008-10-15       Impact factor: 5.422

9.  Genetic loci linked to type 1 diabetes and multiple sclerosis families in Sardinia.

Authors:  Maristella Pitzalis; Patrizia Zavattari; Raffaele Murru; Elisabetta Deidda; Magdalena Zoledziewska; Daniela Murru; Loredana Moi; Costantino Motzo; Valeria Orrù; Gianna Costa; Elisabetta Solla; Elisabetta Fadda; Lucia Schirru; Maria Cristina Melis; Marina Lai; Cristina Mancosu; Stefania Tranquilli; Stefania Cuccu; Marcella Rolesu; Maria Antonietta Secci; Daniela Corongiu; Daniela Contu; Rosanna Lampis; Annalisa Nucaro; Gavino Pala; Adolfo Pacifico; Mario Maioli; Paola Frongia; Margherita Chessa; Rossella Ricciardi; Stanislao Lostia; Anna Maria Marinaro; Anna Franca Milia; Novella Landis; Maria Antonietta Zedda; Michael B Whalen; Federico Santoni; Maria Giovanna Marrosu; Marcella Devoto; Francesco Cucca
Journal:  BMC Med Genet       Date:  2008-01-20       Impact factor: 2.103

  9 in total

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