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  1. We propose two new haplotype-sharing methods for identifying disease loci: the haplotype sharing statistic (HSS), which compares length of shared haplotypes between cases and controls, and the CROSS test, whic...

    Authors: Ilja M Nolte, AndrƩ R de Vries, Geert T Spijker, Ritsert C Jansen, Dumitru Brinza, Alexander Zelikovsky and Gerard J te Meerman
    Citation: BMC Proceedings 2007 1(Suppl 1):S129

    This article is part of a Supplement: Volume 1 Supplement 1

  2. Rheumatoid arthritis is a complex disease caused by a combination of genetic, environmental, and hormonal factors, and their additive and/or non-additive effects. We performed a linkage analysis to provide evi...

    Authors: Cheongeun Oh
    Citation: BMC Proceedings 2007 1(Suppl 1):S110

    This article is part of a Supplement: Volume 1 Supplement 1

  3. We proposed a confidence interval method for disease gene localization by testing every position on each chromosome of interest for its possibility of being a disease locus and including those not rejected int...

    Authors: Shuyan Wan and Shili Lin
    Citation: BMC Proceedings 2007 1(Suppl 1):S106

    This article is part of a Supplement: Volume 1 Supplement 1

  4. Accounting for interactions with environmental factors in association studies may improve the power to detect genetic effects and may help identifying important environmental effect modifiers. The power of unp...

    Authors: Astrid Dempfle, Rebecca Hein, Lars Beckmann, AndrƩ Scherag, Thuy Trang Nguyen, Helmut SchƤfer and Jenny Chang-Claude
    Citation: BMC Proceedings 2007 1(Suppl 1):S73

    This article is part of a Supplement: Volume 1 Supplement 1

  5. Rheumatoid arthritis (RA) is a complex disease that involves both environmental and genetic factors. Elucidation of the basic etiologic factors involved in RA is essential for preventing and treating this dise...

    Authors: Yi-Shin Chen, Yen-Feng Chiu, Hui-Yi Kao and Fang-Chi Hsu
    Citation: BMC Proceedings 2007 1(Suppl 1):S71

    This article is part of a Supplement: Volume 1 Supplement 1

  6. It is believed that epistatic interactions among loci contribute to variations in quantitative traits. Several methods are available to detect epistasis using population-based data. However, methods to charact...

    Authors: Hua Li, Guimin Gao, Jian Li, Grier P Page and Kui Zhang
    Citation: BMC Proceedings 2007 1(Suppl 1):S67

    This article is part of a Supplement: Volume 1 Supplement 1

  7. Data for Problem 3 of the Genetic Analysis Workshop 15 were generated by computer simulation in an attempt to mimic some of the genetic and epidemiological features of rheumatoid arthritis (RA) such as its pop...

    Authors: Michael B Miller, Gregg R Lind, Na Li and Soon-Young Jang
    Citation: BMC Proceedings 2007 1(Suppl 1):S4

    This article is part of a Supplement: Volume 1 Supplement 1

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