Literature DB >> 22744673

Exome sequencing identifies a novel multiple sclerosis susceptibility variant in the TYK2 gene.

David A Dyment1, M Zameel Cader, Michael J Chao, Matthew R Lincoln, Katie M Morrison, Giulio Disanto, Julia M Morahan, Gabriele C De Luca, A Dessa Sadovnick, Pierre Lepage, Alexandre Montpetit, George C Ebers, Sreeram V Ramagopalan.   

Abstract

OBJECTIVE: To identify rare variants contributing to multiple sclerosis (MS) susceptibility in a family we have previously reported with up to 15 individuals affected across 4 generations.
METHODS: We performed exome sequencing in a subset of affected individuals to identify novel variants contributing to MS risk within this unique family. The candidate variant was genotyped in a validation cohort of 2,104 MS trio families.
RESULTS: Four family members with MS were sequenced and 21,583 variants were found to be shared among these individuals. Refining the variants to those with 1) a predicted loss of function and 2) present within regions of modest haplotype sharing identified 1 novel mutation (rs55762744) in the tyrosine kinase 2 (TYK2) gene. A different polymorphism within this gene has been shown to be protective in genome-wide association studies. In contrast, the TYK2 variant identified here is a novel, missense mutation and was found to be present in 10/14 (72%) cases and 28/60 (47%) of the unaffected family members. Genotyping additional 2,104 trio families showed the variant to be transmitted preferentially from heterozygous parents (transmitted 16: not transmitted 5; χ(2) = 5.76, p = 0.016).
CONCLUSIONS: Rs55762744 is a rare variant of modest effect on MS risk affecting a subset of patients (0.8%). Within this pedigree, rs55762744 is common and appears to be a modifier of modest risk effect. Exome sequencing is a quick and cost-effective method and we show here the utility of sequencing a few cases from a single, unique family to identify a novel variant. The sequencing of additional family members or other families may help identify other variants important in MS.

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Year:  2012        PMID: 22744673      PMCID: PMC3405256          DOI: 10.1212/WNL.0b013e3182616fc4

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  24 in total

1.  Twin concordance and sibling recurrence rates in multiple sclerosis.

Authors:  C J Willer; D A Dyment; N J Risch; A D Sadovnick; G C Ebers
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2.  Mega2: data-handling for facilitating genetic linkage and association analyses.

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Authors:  Alberto Ascherio; Kassandra L Munger
Journal:  Ann Neurol       Date:  2007-04       Impact factor: 10.422

Review 4.  Environmental risk factors for multiple sclerosis. Part II: Noninfectious factors.

Authors:  Alberto Ascherio; Kassandra L Munger
Journal:  Ann Neurol       Date:  2007-06       Impact factor: 10.422

5.  Base-calling of automated sequencer traces using phred. II. Error probabilities.

Authors:  B Ewing; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

6.  Descent graphs in pedigree analysis: applications to haplotyping, location scores, and marker-sharing statistics.

Authors:  E Sobel; K Lange
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

7.  The natural history of multiple sclerosis: a geographically based study: 8: familial multiple sclerosis.

Authors:  G C Ebers; W J Koopman; W Hader; A D Sadovnick; M Kremenchutzky; P Mandalfino; D M Wingerchuk; J Baskerville; G P Rice
Journal:  Brain       Date:  2000-03       Impact factor: 13.501

8.  A multigenerational family with multiple sclerosis.

Authors:  D A Dyment; M Z Cader; C J Willer; N Risch; A D Sadovnick; G C Ebers
Journal:  Brain       Date:  2002-07       Impact factor: 13.501

9.  A genome scan in a single pedigree with a high prevalence of multiple sclerosis.

Authors:  D A Dyment; M Z Cader; B M Herrera; S V Ramagopalan; S M Orton; M Chao; C J Willer; A D Sadovnick; N Risch; G C Ebers
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-06-05       Impact factor: 10.154

10.  The inheritance of resistance alleles in multiple sclerosis.

Authors:  Sreeram V Ramagopalan; Andrew P Morris; David A Dyment; Blanca M Herrera; Gabriele C DeLuca; Matthew R Lincoln; Sarah M Orton; Michael J Chao; A Dessa Sadovnick; George C Ebers
Journal:  PLoS Genet       Date:  2007-07-20       Impact factor: 5.917

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  24 in total

Review 1.  Application of next-generation sequencing technologies in Neurology.

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Journal:  Ann Transl Med       Date:  2014-12

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Authors:  Christopher J Moran; Christoph Klein; Aleixo M Muise; Scott B Snapper
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3.  Borrelia burgdorferi Is a Poor Inducer of Gamma Interferon: Amplification Induced by Interleukin-12.

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5.  HLA-DRB1*15 association with multiple sclerosis is confirmed in a multigenerational Italian family.

Authors:  L Mosca; V Mantero; S Penco; L La Mantia; S De Benedetti; M R Marazzi; C Spreafico; C Erminio; L Grassi; G Lando; M Zagaria; E Agostoni; A Protti
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Review 6.  The genetics of multiple sclerosis: review of current and emerging candidates.

Authors:  Maider Muñoz-Culla; Haritz Irizar; David Otaegui
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Review 7.  Application of Next-Generation Sequencing in Neurodegenerative Diseases: Opportunities and Challenges.

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Review 8.  Next-generation sequencing in understanding complex neurological disease.

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Review 9.  From Science to Success? Targeting Tyrosine Kinase 2 in Spondyloarthritis and Related Chronic Inflammatory Diseases.

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10.  Estimating the proportion of variation in susceptibility to multiple sclerosis captured by common SNPs.

Authors:  Corey T Watson; Giulio Disanto; Felix Breden; Gavin Giovannoni; Sreeram V Ramagopalan
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