Literature DB >> 16905561

Heterogeneity at the HLA-DRB1 locus and risk for multiple sclerosis.

Lisa F Barcellos1, Stephen Sawcer, Patricia P Ramsay, Sergio E Baranzini, Glenys Thomson, Farren Briggs, Bruce C A Cree, Ann B Begovich, Pablo Villoslada, Xavier Montalban, Antonio Uccelli, Giovanni Savettieri, Robin R Lincoln, Carolyn DeLoa, Jonathan L Haines, Margaret A Pericak-Vance, Alastair Compston, Stephen L Hauser, Jorge R Oksenberg.   

Abstract

Variation in major histocompatibility complex genes on chromosome 6p21.3, specifically the human leukocyte antigen HLA-DR2 or DRB1*1501-DQB1*0602 extended haplotype, confers risk for multiple sclerosis (MS). Previous studies of DRB1 variation and both MS susceptibility and phenotypic expression have lacked statistical power to detect modest genotypic influences, and have demonstrated conflicting results. Results derived from analyses of 1339 MS families indicate DRB1 variation influences MS susceptibility in a complex manner. DRB1*15 was strongly associated in families (P=7.8x10(-31)), and a dominant DRB1*15 dose effect was confirmed (OR=7.5, 95% CI=4.4-13.0, P<0.0001). A modest dose effect was also detected for DRB1*03; however, in contrast to DRB1*15, this risk was recessive (OR=1.8, 95% CI=1.1-2.9, P=0.03). Strong evidence for under-transmission of DRB1*14 (P=5.7x10(-6)) even after accounting for DRB1*15 (P=0.03) was present, confirming a protective effect. In addition, a high risk DRB1*15 genotype bearing DRB1*08 was identified (OR=7.7, 95% CI=4.1-14.4, P<0.0001), providing additional evidence for trans DRB1 allelic interactions in MS. Further, a significant DRB1*15 association observed in primary progressive MS families (P=0.0004), similar to relapsing-remitting MS families, suggests that DRB1-related mechanisms are contributing to both phenotypes. In contrast, results obtained from 2201 MS cases argue convincingly that DRB1*15 genotypes do not modulate age of onset, or significantly influence disease severity measured using expanded disease disability score and disease duration. These results contribute substantially to our understanding of the DRB1 locus and MS, and underscore the importance of using large sample sizes to detect modest genetic effects, particularly in studies of genotype-phenotype relationships.

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Year:  2006        PMID: 16905561     DOI: 10.1093/hmg/ddl223

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


  113 in total

Review 1.  Role of HLA class II genes in susceptibility and resistance to multiple sclerosis: studies using HLA transgenic mice.

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2.  Evidence for polygenic susceptibility to multiple sclerosis--the shape of things to come.

Authors:  William S Bush; Stephen J Sawcer; Philip L de Jager; Jorge R Oksenberg; Jacob L McCauley; Margaret A Pericak-Vance; Jonathan L Haines
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Review 3.  The genetics of multiple sclerosis: an up-to-date review.

Authors:  Pierre-Antoine Gourraud; Hanne F Harbo; Stephen L Hauser; Sergio E Baranzini
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4.  Identifying patient subtypes in multiple sclerosis and tailoring immunotherapy: challenges for the future.

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5.  Aggregation of multiple sclerosis genetic risk variants in multiple and single case families.

Authors:  Pierre-Antoine Gourraud; Joseph P McElroy; Stacy J Caillier; Britt A Johnson; Adam Santaniello; Stephen L Hauser; Jorge R Oksenberg
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Review 6.  From genes to function: the next challenge to understanding multiple sclerosis.

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Journal:  Nat Rev Immunol       Date:  2009-06       Impact factor: 53.106

7.  The multiple sclerosis risk allele within the AHI1 gene is associated with relapses in children and adults.

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Journal:  Mult Scler Relat Disord       Date:  2017-10-14       Impact factor: 4.339

Review 8.  Genetics and pathogenesis of multiple sclerosis.

Authors:  R L Zuvich; J L McCauley; M A Pericak-Vance; J L Haines
Journal:  Semin Immunol       Date:  2009-09-22       Impact factor: 11.130

9.  Obesity during childhood and adolescence increases susceptibility to multiple sclerosis after accounting for established genetic and environmental risk factors.

Authors:  Milena A Gianfrancesco; Brigid Acuna; Ling Shen; Farren B S Briggs; Hong Quach; Kalliope H Bellesis; Allan Bernstein; Anna K Hedstrom; Ingrid Kockum; Lars Alfredsson; Tomas Olsson; Catherine Schaefer; Lisa F Barcellos
Journal:  Obes Res Clin Pract       Date:  2014-03-06       Impact factor: 2.288

10.  An extension to a statistical approach for family based association studies provides insights into genetic risk factors for multiple sclerosis in the HLA-DRB1 gene.

Authors:  Sreeram V Ramagopalan; Roisin McMahon; David A Dyment; A Dessa Sadovnick; George C Ebers; Knut M Wittkowski
Journal:  BMC Med Genet       Date:  2009-02-04       Impact factor: 2.103

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