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Genome-wide meta-analysis for rheumatoid arthritis.

Genome-wide meta-analysis for rheumatoid arthritis. Research Abstract Details 

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  • Genome-wide meta-analysis for rheumatoid arthritis. Abstract Text:

    carol j etzelCarol J Etzel,wei v chenWei V Chen,neil shepardNeil Shepard,damini jawaheerDamini Jawaheer,francois cornelisFrancois Cornelis,michael f seldinMichael F Seldin,peter k gregersenPeter K Gregersen,christopher i amosChristopher I Amos, ,

    Meta-analysis is being increasingly used as a tool for integrating data from different studies of complex phenotypes, because the power of any one study to identify causal loci is limited. We applied a novel meta-analytical approach (Loesgen et al. in Genet Epidemiol 21(Suppl 1):S142-S147, 2001) in compiling results from four studies of rheumatoid arthritis in Caucasians including two studies from NARAC (Jawaheer et al. in Am J Hum Genet 68:927-936, 2001; Jawaheer et al. in Arthritis Rheum 48:906-916, 2003), one study from the UK (MacKay et al. in Arthritis Rheum 46:632-639, 2001) and one from France (Cornelis et al. in Proc Natl Acad Sci USA 95:10746-10750, 1998). For each study, we obtained NPL scores by performing interval mapping (2 cM intervals) using GeneHunter2 (Kruglyak et al. in Am J Hum Genet 58:1347-1363, 1996; Markianos et al. in Am J Hum Genet 68:963-977, 2001). The marker maps differed among the three consortium groups, therefore, the marker maps were aligned after the interval mapping was completed and the NPL scores that were within 1 cM of each other were combined using the method of Loesgen et al. (Genet Epidemiol 21(Suppl 1):S142-S147, 2001) by calculating the weighted average of the NPL score. This approach avoids some problems in analysis encountered by using GeneHunter2 when some markers in the sample are not genotyped. This procedure provided marginal evidence (P<0.05) of linkage on chromosome 1, 2, 5 and 18, strong evidence (P<0.01) on chromosomes 8 and 16, and overwhelming evidence in the HLA region of chromosome 6.

    Genome-wide meta-analysis for rheumatoid arthritis. Publishing Authors By Initials

    cj etzelCJ Etzel,wv chenWV Chen,n shepardN Shepard,d jawaheerD Jawaheer,f cornelisF Cornelis,mf seldinMF Seldin,pk gregersenPK Gregersen,ci amosCI Amos, ,

    For similar genetic phenomena: linkage (genetics) research abstracts see: genetic phenomena: linkage (genetics) research

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    Genome-wide meta-analysis for rheumatoid arthritis. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Human genetics

    VOLUME: 119

    Page Numbers: 634-41

    Journal Abbreviation: Hum. Genet.

    ISSN: 0340-6717

    DAY: 13

    MONTH: 04

    YEAR: 2006

    Genome-wide meta-analysis for rheumatoid arthritis. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 7613873

    Genome-wide meta-analysis for rheumatoid arthritis. Keywords Mesh Terms:

    KEYWORDS: Linkage (Genetics)

    MESH TERMS: genetics

    Chemical & Substance for Abstract: Genome-wide meta-analysis for rheumatoid arthritis. Information

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    Grant and Affiliation Information for Genome-wide meta-analysis for rheumatoid arthritis.

    AFFILIATION: Department of Epidemiology, UT MD Anderson Cancer Center, 1155 Pressler Street - Unit 1340, Houston, TX 77030, USA. cetzel@mdanderson.org

    Country: Germany

    Germany Research PublicationGermany Research Publication

    AGENCY: United States NIAMS

    GRANT: R01-AR44422

    ACRONYM: AR

    MEDLINETA: Hum Genet

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