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Published in: Modern Rheumatology 4/2010

01-08-2010 | Original Article

Mathematical basis of affected sib-pair analysis: an extension to X-linked loci

Authors: Yasuo Tsukamoto, Koichiro Komai, Ken Tsumiyama, Yoshitada Sakai, Shunichi Shiozawa

Published in: Modern Rheumatology | Issue 4/2010

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Abstract

Most clinical genetic studies are done without knowing their mathematical basis. However, because the results of such studies rely on the correctness of the mathematical calculations involved, we cannot ignore the mathematics of genetic studies. In this study, the mathematical basis of the sib-pair method, which has been widely used in recent genome-wide studies, was extended to studies focusing on the X chromosome, and then applied to study a clinical microsatellite marker on the X chromosome. Our calculation involves classifying marker types on the X chromosome for an affected sib-pair and an unaffected sib, together with their sexual information and the possible parental marker types applicable to a genome-wide genetic study. The method proposed in this study was then applied to 41 Japanese rheumatoid families, and the locus DXS984 was found to be most likely to be linked with rheumatoid arthritis (RA). This locus, which we found nicely, was also highlighted in a previous study that used the Mapmaker/sibs program, so we can conclude that our calculation provides a solid foundation for understanding and confirming the results obtained using the sib-pair method.
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Literature
1.
go back to reference Rish N. Linkage strategies for genetically complex traits. II. The power of affected relative pairs. Am J Hum Genet. 1990;46:229–41. Rish N. Linkage strategies for genetically complex traits. II. The power of affected relative pairs. Am J Hum Genet. 1990;46:229–41.
2.
go back to reference Holmans P. Asymptotic properties of affected-sib-pair linkage analysis. Am J Hum Genet. 1993;52:362–74.PubMed Holmans P. Asymptotic properties of affected-sib-pair linkage analysis. Am J Hum Genet. 1993;52:362–74.PubMed
3.
go back to reference Shiozawa S, Hayashi S, Tsukamoto Y, Goko H, Kawasaki H, Wada T, et al. Identification of the gene loci that predispose to rheumatoid arthritis. Int Immunol. 1998;10:1891–5.CrossRefPubMed Shiozawa S, Hayashi S, Tsukamoto Y, Goko H, Kawasaki H, Wada T, et al. Identification of the gene loci that predispose to rheumatoid arthritis. Int Immunol. 1998;10:1891–5.CrossRefPubMed
4.
go back to reference Shiozawa S, Tsukamoto Y, Hayashi S, Shiozawa K. Genetic predisposition to autoimmunity implication for rheumatoid arthritis. J Clin Rheumatol. 1998;4:156–8.CrossRefPubMed Shiozawa S, Tsukamoto Y, Hayashi S, Shiozawa K. Genetic predisposition to autoimmunity implication for rheumatoid arthritis. J Clin Rheumatol. 1998;4:156–8.CrossRefPubMed
5.
go back to reference Holmans P, Clayton D. Efficiency of typing unaffected relatives in an affected-sib-pair linkage study with single-locus and multiple tightly linked markers. Am J Hum Genet. 1995;57:1221–32.PubMed Holmans P, Clayton D. Efficiency of typing unaffected relatives in an affected-sib-pair linkage study with single-locus and multiple tightly linked markers. Am J Hum Genet. 1995;57:1221–32.PubMed
6.
go back to reference Komai K, Hikasa M, Kawasaki H, Ymagata M, Ktagawa M, Konishi Y, et al. Identification of 3′-deletion mutant of Dbl proto-oncogene as rheumatoid arthritis disease gene RA3. Arthritis Rheum. 1999;42:S1926. Komai K, Hikasa M, Kawasaki H, Ymagata M, Ktagawa M, Konishi Y, et al. Identification of 3′-deletion mutant of Dbl proto-oncogene as rheumatoid arthritis disease gene RA3. Arthritis Rheum. 1999;42:S1926.
7.
go back to reference Shiozawa S, Komai K, Konishi Y, Hikasa M, Shiozawa K, et al. An approach to identify new genes in autoimmune diseases: lessons from rheumatoid arthritis. Rev Immunogenet. 2000;2:133–9.PubMed Shiozawa S, Komai K, Konishi Y, Hikasa M, Shiozawa K, et al. An approach to identify new genes in autoimmune diseases: lessons from rheumatoid arthritis. Rev Immunogenet. 2000;2:133–9.PubMed
8.
go back to reference Cordell HJ, Kawaguchi Y, Todd JA, Farrall M. An extension of the maximum lod score method to X-linked loci. Ann Hum Genet. 1995;59:435–49.CrossRefPubMed Cordell HJ, Kawaguchi Y, Todd JA, Farrall M. An extension of the maximum lod score method to X-linked loci. Ann Hum Genet. 1995;59:435–49.CrossRefPubMed
9.
go back to reference Tsukamoto Y, Shiozawa S. An extension of affected-sib-pair method to X-linked loci. Mod Rheumatol. 2008;18:P1–011.CrossRef Tsukamoto Y, Shiozawa S. An extension of affected-sib-pair method to X-linked loci. Mod Rheumatol. 2008;18:P1–011.CrossRef
Metadata
Title
Mathematical basis of affected sib-pair analysis: an extension to X-linked loci
Authors
Yasuo Tsukamoto
Koichiro Komai
Ken Tsumiyama
Yoshitada Sakai
Shunichi Shiozawa
Publication date
01-08-2010
Publisher
Springer Japan
Published in
Modern Rheumatology / Issue 4/2010
Print ISSN: 1439-7595
Electronic ISSN: 1439-7609
DOI
https://doi.org/10.1007/s10165-010-0294-6

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