Literature DB >> 8696343

A genome screen in multiple sclerosis reveals susceptibility loci on chromosome 6p21 and 17q22.

S Sawcer1, H B Jones, R Feakes, J Gray, N Smaldon, J Chataway, N Robertson, D Clayton, P N Goodfellow, A Compston.   

Abstract

The population prevalence of multiple sclerosis is 0.1%; however, the risk of the disease in the siblings of affected individuals is very much higher at 3-5%. The importance of genetic factors in accounting for this increased risk is confirmed by the results of twin and adoption studies. Despite the evidence for a strong genetic effect, a weak major histocompatibility complex (MHC) association is the only consistently observed feature in the genetics of multiple sclerosis. Other candidates have been proposed, including genes encoding the immunoglobulin heavy chain, T cell receptor beta chain and APOC2, but none has yet been confirmed. Evidence for linkage and association to the myelin basic protein gene has been reported in a genetically isolated Finnish population, but it has not been possible to reproduce these results in other populations. We used a two-stage approach to search the human genome for the genes causing susceptibility to multiple sclerosis. Two principal regions of linkage are identified, chromosomes 17q22 and 6p21 (MHC). Our results are compatible with genetic models involving epistatic interaction between these and several additional genes.

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Year:  1996        PMID: 8696343     DOI: 10.1038/ng0896-464

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  110 in total

1.  Replication of linkage studies of complex traits: an examination of variation in location estimates.

Authors:  S B Roberts; C J MacLean; M C Neale; L J Eaves; K S Kendler
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

Review 2.  The genetic epidemiology of multiple sclerosis.

Authors:  A Compston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-10-29       Impact factor: 6.237

Review 3.  Genetic analysis of multiple sclerosis.

Authors:  Alastair Compston; Stephen Sawcer
Journal:  Curr Neurol Neurosci Rep       Date:  2002-05       Impact factor: 5.081

4.  Genomewide scans of complex human diseases: true linkage is hard to find.

Authors:  J Altmüller; L J Palmer; G Fischer; H Scherb; M Wjst
Journal:  Am J Hum Genet       Date:  2001-09-14       Impact factor: 11.025

Review 5.  B cell inhibitory receptors and autoimmunity.

Authors:  Nicholas R Pritchard; Kenneth G C Smith
Journal:  Immunology       Date:  2003-03       Impact factor: 7.397

6.  Identification of genetic loci controlling the characteristics and severity of brain and spinal cord lesions in experimental allergic encephalomyelitis.

Authors:  R J Butterfield; E P Blankenhorn; R J Roper; J F Zachary; R W Doerge; C Teuscher
Journal:  Am J Pathol       Date:  2000-08       Impact factor: 4.307

7.  Global prevalence of putative haemochromatosis mutations.

Authors:  A T Merryweather-Clarke; J J Pointon; J D Shearman; K J Robson
Journal:  J Med Genet       Date:  1997-04       Impact factor: 6.318

Review 8.  New approaches to investigating heterogeneity in complex traits.

Authors:  R Bomprezzi; P E Kovanen; R Martin
Journal:  J Med Genet       Date:  2003-08       Impact factor: 6.318

Review 9.  Linkage studies of schizophrenia.

Authors:  Brien Riley
Journal:  Neurotox Res       Date:  2004       Impact factor: 3.911

10.  Investigation of seven proposed regions of linkage in multiple sclerosis: an American and French collaborative study.

Authors:  Margaret A Pericak-Vance; Jackie B Rimmler; Jonathan L Haines; Melissa E Garcia; Jorge R Oksenberg; Lisa F Barcellos; Robin Lincoln; Stephen L Hauser; Isabelle Cournu-Rebeix; Ariele Azoulay-Cayla; Olivier Lyon-Caen; Bertrand Fontaine; Emmanuelle Duhamel; Helene Coppin; David Brassat; Marie-Paule Roth; Michel Clanet; Mehdi Alizadeh; Jacqueline Yaouanq; Erwann Quelvennec; Gilbert Semana; Gilles Edan; Marie-Claude Babron; Emmanuelle Genin; Francoise Clerget-Darpoux
Journal:  Neurogenetics       Date:  2003-11-01       Impact factor: 2.660

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