A meta-analysis of genomic screens in multiple sclerosis. The Transatlantic Multiple Sclerosis Genetics Cooperative

Mult Scler. 2001 Feb;7(1):3-11. doi: 10.1177/135245850100700102.

Abstract

We combined the raw genotyping data from three large multiple sclerosis genome screens and performed a global meta-analysis in order to compare and summarize the linkage results from the different studies. In alphabetical order, the screens provided data from 442 markers typed in 52 multiplex families with a total of 133 affected individuals (the American screen), 314 markers typed in 128 families with 264 affecteds (the British screen) and 257 markers typed in 61 families with a total of 139 affected subjects (the Canadian screen). Multipoint analysis of these data was performed using the GENEHUNTER program. The highest non-parametric linkage (NPL) score in the meta-analysis was observed on chromosome 17q11 (NPL score 2.58), although this score falls short of genome-wide significance. A total of eight regions had NPL scores greater than 2.0. One of the regions with an NPL score greater than 2.0 was the HLA region on chromosome 6p21 (NPL=2.2). This region is known, from association studies, to be involved in MS susceptibility, but the modest linkage result observed here suggests the encoded susceptibility effect is not large compared with the high familial recurrence in MS (lambda approximately 20). Overall, our linkage results suggest that MS is likely to be multigenic in its genetic susceptibility.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Autoimmune Diseases / epidemiology
  • Autoimmune Diseases / genetics*
  • Canada / epidemiology
  • Chromosome Mapping
  • Chromosomes, Human / genetics
  • Gene Frequency
  • Genetic Linkage
  • Genetic Markers
  • Genetic Predisposition to Disease
  • Genetic Testing*
  • Genotype
  • HLA Antigens / genetics
  • Haplotypes / genetics
  • Humans
  • Major Histocompatibility Complex / genetics
  • Multiple Sclerosis / epidemiology
  • Multiple Sclerosis / genetics*
  • Software
  • United Kingdom / epidemiology
  • United States / epidemiology

Substances

  • Genetic Markers
  • HLA Antigens