Literature DB >> 19010793

Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis.

Sergio E Baranzini1, Joanne Wang, Rachel A Gibson, Nicholas Galwey, Yvonne Naegelin, Frederik Barkhof, Ernst-Wilhelm Radue, Raija L P Lindberg, Bernard M G Uitdehaag, Michael R Johnson, Aspasia Angelakopoulou, Leslie Hall, Jill C Richardson, Rab K Prinjha, Achim Gass, Jeroen J G Geurts, Jolijn Kragt, Madeleine Sombekke, Hugo Vrenken, Pamela Qualley, Robin R Lincoln, Refujia Gomez, Stacy J Caillier, Michaela F George, Hourieh Mousavi, Rosa Guerrero, Darin T Okuda, Bruce A C Cree, Ari J Green, Emmanuelle Waubant, Douglas S Goodin, Daniel Pelletier, Paul M Matthews, Stephen L Hauser, Ludwig Kappos, Chris H Polman, Jorge R Oksenberg.   

Abstract

Multiple sclerosis (MS), a chronic disorder of the central nervous system and common cause of neurological disability in young adults, is characterized by moderate but complex risk heritability. Here we report the results of a genome-wide association study performed in a 1000 prospective case series of well-characterized individuals with MS and group-matched controls using the Sentrix HumanHap550 BeadChip platform from Illumina. After stringent quality control data filtering, we compared allele frequencies for 551 642 SNPs in 978 cases and 883 controls and assessed genotypic influences on susceptibility, age of onset, disease severity, as well as brain lesion load and normalized brain volume from magnetic resonance imaging exams. A multi-analytical strategy identified 242 susceptibility SNPs exceeding established thresholds of significance, including 65 within the MHC locus in chromosome 6p21.3. Independent replication confirms a role for GPC5, a heparan sulfate proteoglycan, in disease risk. Gene ontology-based analysis shows a functional dichotomy between genes involved in the susceptibility pathway and those affecting the clinical phenotype.

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Year:  2008        PMID: 19010793      PMCID: PMC4334814          DOI: 10.1093/hmg/ddn388

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  65 in total

1.  Normalized accurate measurement of longitudinal brain change.

Authors:  S M Smith; N De Stefano; M Jenkinson; P M Matthews
Journal:  J Comput Assist Tomogr       Date:  2001 May-Jun       Impact factor: 1.826

2.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

3.  The T244I variant of the interleukin-7 receptor-alpha gene and multiple sclerosis.

Authors:  A Alcina; M Fedetz; D Ndagire; O Fernández; L Leyva; M Guerrero; C Arnal; C Delgado; F Matesanz
Journal:  Tissue Antigens       Date:  2008-08

4.  Familial factors influence disability in MS multiplex families. French Multiple Sclerosis Genetics Group.

Authors:  D Brassat; C Azais-Vuillemin; J Yaouanq; G Semana; J Reboul; I Cournu; C Mertens; G Edan; O Lyon-Caen; M Clanet; B Fontaine
Journal:  Neurology       Date:  1999-05-12       Impact factor: 9.910

5.  Association between a GABRB3 polymorphism and autism.

Authors:  J D Buxbaum; J M Silverman; C J Smith; D A Greenberg; M Kilifarski; J Reichert; E H Cook; Y Fang; C-Y Song; R Vitale
Journal:  Mol Psychiatry       Date:  2002       Impact factor: 15.992

Review 6.  Phagocytosis of myelin in demyelinative disease: a review.

Authors:  M E Smith
Journal:  Neurochem Res       Date:  1999-02       Impact factor: 3.996

7.  CSMD1 is a novel multiple domain complement-regulatory protein highly expressed in the central nervous system and epithelial tissues.

Authors:  Damian M Kraus; Gary S Elliott; Hilary Chute; Thomas Horan; Karl H Pfenninger; Staci D Sanford; Stephen Foster; Sheila Scully; Andrew A Welcher; V Michael Holers
Journal:  J Immunol       Date:  2006-04-01       Impact factor: 5.422

8.  Variation in interleukin 7 receptor alpha chain (IL7R) influences risk of multiple sclerosis.

Authors:  Frida Lundmark; Kristina Duvefelt; Ellen Iacobaeus; Ingrid Kockum; Erik Wallström; Mohsen Khademi; Annette Oturai; Lars P Ryder; Janna Saarela; Hanne F Harbo; Elisabeth G Celius; Hugh Salter; Tomas Olsson; Jan Hillert
Journal:  Nat Genet       Date:  2007-07-29       Impact factor: 38.330

9.  Replication of KIAA0350, IL2RA, RPL5 and CD58 as multiple sclerosis susceptibility genes in Australians.

Authors:  J P Rubio; J Stankovich; J Field; N Tubridy; M Marriott; C Chapman; M Bahlo; D Perera; L J Johnson; B D Tait; M D Varney; T P Speed; B V Taylor; S J Foote; H Butzkueven; T J Kilpatrick
Journal:  Genes Immun       Date:  2008-07-24       Impact factor: 2.676

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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  182 in total

1.  Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans.

Authors:  Andrew J Saykin; Li Shen; Tatiana M Foroud; Steven G Potkin; Shanker Swaminathan; Sungeun Kim; Shannon L Risacher; Kwangsik Nho; Matthew J Huentelman; David W Craig; Paul M Thompson; Jason L Stein; Jason H Moore; Lindsay A Farrer; Robert C Green; Lars Bertram; Clifford R Jack; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

2.  MACROD2 gene associated with autistic-like traits in a general population sample.

Authors:  Rachel M Jones; Gemma Cadby; John Blangero; Lawrence J Abraham; Andrew J O Whitehouse; Eric K Moses
Journal:  Psychiatr Genet       Date:  2014-12       Impact factor: 2.458

Review 3.  [The genetic profile of multiple sclerosis: risk genes and the "dark matter"].

Authors:  C M Lill; F Zipp
Journal:  Nervenarzt       Date:  2012-06       Impact factor: 1.214

Review 4.  Multiple sclerosis.

Authors:  Alyssa Nylander; David A Hafler
Journal:  J Clin Invest       Date:  2012-04-02       Impact factor: 14.808

Review 5.  Multiple sclerosis genetics--is the glass half full, or half empty?

Authors:  Jorge R Oksenberg; Sergio E Baranzini
Journal:  Nat Rev Neurol       Date:  2010-07-13       Impact factor: 42.937

6.  GPC5 gene and its related pathways in lung cancer.

Authors:  Yafei Li; Ping Yang
Journal:  J Thorac Oncol       Date:  2011-01       Impact factor: 15.609

Review 7.  The genetics of multiple sclerosis: an up-to-date review.

Authors:  Pierre-Antoine Gourraud; Hanne F Harbo; Stephen L Hauser; Sergio E Baranzini
Journal:  Immunol Rev       Date:  2012-07       Impact factor: 12.988

8.  Identifying patient subtypes in multiple sclerosis and tailoring immunotherapy: challenges for the future.

Authors:  Philip L De Jager
Journal:  Ther Adv Neurol Disord       Date:  2009-11       Impact factor: 6.570

9.  Genome-wide association study of comorbid depressive syndrome and alcohol dependence.

Authors:  Alexis C Edwards; Fazil Aliev; Laura J Bierut; Kathleen K Bucholz; Howard Edenberg; Victor Hesselbrock; John Kramer; Samuel Kuperman; John I Nurnberger; Marc A Schuckit; Bernice Porjesz; Danielle M Dick
Journal:  Psychiatr Genet       Date:  2012-02       Impact factor: 2.458

Review 10.  Genetic determinants of risk and progression in multiple sclerosis.

Authors:  Alessandro Didonna; Jorge R Oksenberg
Journal:  Clin Chim Acta       Date:  2015-02-04       Impact factor: 3.786

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