Linkage analysis of candidate myelin genes in familial multiple sclerosis.

Journal Article (Journal Article)

Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system. A complex genetic etiology is thought to underlie susceptibility to this disease. The present study was designed to analyze whether differences in genes that encode myelin proteins influence susceptibility to MS. We performed linkage analysis of MS to markers in chromosomal regions that include the genes encoding myelin basic protein (MBP), proteolipid protein (PLP), myelin-associated glycoprotein (MAG), oligodendrocyte myelin glycoprotein (OMGP), and myelin oligodendrocyte glycoprotein (MOG) in a well-characterized population of 65 multiplex MS families consisting of 399 total individuals, 169 affected with MS and 102 affected sibpairs. Physical mapping data permitted placement of MAG and PLP genes on the Genethon genetic map; all other genes were mapped on the Genethon genetic map by linkage analysis. For each gene, at least one marker within the gene and/or two tightly linked flanking markers were analyzed. Marker data analysis employed a combination of genetic trait model-dependent (parametric) and model-independent linkage methods. Results indicate that MAG, MBP, OMGP, and PLP genes do not have a significant genetic effect on susceptibility to MS in this population. As MOG resides within the MHC, a potential role of the MOG gene could not be excluded.

Full Text

Duke Authors

Cited Authors

  • Seboun, E; Oksenberg, JR; Rombos, A; Usuku, K; Goodkin, DE; Lincoln, RR; Wong, M; Pham-Dinh, D; Boesplug-Tanguy, O; Carsique, R; Fitoussi, R; Gartioux, C; Reyes, C; Ribierre, F; Faure, S; Fizames, C; Gyapay, G; Weissenbach, J; Dautigny, A; Rimmler, JB; Garcia, ME; Pericak-Vance, MA; Haines, JL; Hauser, SL

Published Date

  • September 1999

Published In

Volume / Issue

  • 2 / 3

Start / End Page

  • 155 - 162

PubMed ID

  • 10541588

International Standard Serial Number (ISSN)

  • 1364-6745

Digital Object Identifier (DOI)

  • 10.1007/s100480050076


  • eng

Conference Location

  • United States