Literature DB >> 16341055

Examination of seven candidate regions for multiple sclerosis: strong evidence of linkage to chromosome 1q44.

S J Kenealy1, L A Herrel, Y Bradford, N Schnetz-Boutaud, J R Oksenberg, S L Hauser, L F Barcellos, S Schmidt, S G Gregory, M A Pericak-Vance, J L Haines.   

Abstract

Multiple sclerosis (MS) is a debilitating neuroimmunological and neurodegenerative disease with a strong genetic component. Numerous studies have failed to consistently identify genes that confer disease susceptibility except for association with HLA-DR. Seven non-HLA regions (1q, 2q, 9q, 13q, 16q, 18p and 19q) identified in a recent genomic screen were investigated by genotyping approximately 20 single-nucleotide polymorphisms (SNPs) at approximately 1 Mb intervals. Non-parametric multipoint analyses identified a peak LOD* score of 2.99 for the 1q44 region and substantially narrowed the linkage peak to approximately 7 Mb. Ordered subset analyses (OSA) identified significant LOD score increases for 2q35 and 18p11 when ranking families by HLA-DR status and identified a significant LOD score increase in region 2q35 when ranking families by linkage to chromosome 1q44. 1q44 is particularly interesting because of linkage evidence for this region in studies of both rheumatoid arthritis and systemic lupus erythematosus.

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Year:  2006        PMID: 16341055     DOI: 10.1038/sj.gene.6364275

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


  7 in total

1.  Candidate gene analysis of selectin cluster in patients with multiple sclerosis.

Authors:  Chiara Fenoglio; Diego Scalabrini; Laura Piccio; Milena De Riz; Eliana Venturelli; Francesca Cortini; Chiara Villa; Maria Serpente; Becky Parks; John Rinker; Anne H Cross; Nereo Bresolin; Elio Scarpini; Daniela Galimberti
Journal:  J Neurol       Date:  2009-02-25       Impact factor: 4.849

Review 2.  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

3.  Complex gene-gene interactions in multiple sclerosis: a multifactorial approach reveals associations with inflammatory genes.

Authors:  Alison A Motsinger; David Brassat; Stacy J Caillier; Henry A Erlich; Karen Walker; Lori L Steiner; Lisa F Barcellos; Margaret A Pericak-Vance; Silke Schmidt; Simon Gregory; Stephen L Hauser; Jonathan L Haines; Jorge R Oksenberg; Marylyn D Ritchie
Journal:  Neurogenetics       Date:  2006-09-22       Impact factor: 2.660

4.  Follow-up examination of linkage and association to chromosome 1q43 in multiple sclerosis.

Authors:  J L McCauley; R L Zuvich; Y Bradford; S J Kenealy; N Schnetz-Boutaud; S G Gregory; S L Hauser; J R Oksenberg; D P Mortlock; M A Pericak-Vance; J L Haines
Journal:  Genes Immun       Date:  2009-07-23       Impact factor: 2.676

5.  SNPs in Multi-species Conserved Sequences (MCS) as useful markers in association studies: a practical approach.

Authors:  Jacob L McCauley; Shannon J Kenealy; Elliott H Margulies; Nathalie Schnetz-Boutaud; Simon G Gregory; Stephen L Hauser; Jorge R Oksenberg; Margaret A Pericak-Vance; Jonathan L Haines; Douglas P Mortlock
Journal:  BMC Genomics       Date:  2007-08-06       Impact factor: 3.969

6.  Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm.

Authors:  Yuejing Ding; Lei Cong; Iuliana Ionita-Laza; Shaw-Hwa Lo; Tian Zheng
Journal:  BMC Proc       Date:  2007-12-18

7.  The impact of the human genome project on complex disease.

Authors:  Jessica N Cooke Bailey; Margaret A Pericak-Vance; Jonathan L Haines
Journal:  Genes (Basel)       Date:  2014-07-16       Impact factor: 4.096

  7 in total

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