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  1. Authors: Mirjam AR Preuss, Marie-Luise Faber, Gene S Tan, Bernhard Dietzschold, Matthias J Schnell and Eberhard Weihe
    Citation: BMC Proceedings 2008 2(Suppl 1):S35

    This article is part of a Supplement: Volume 2 Supplement 1

  2. Authors: Juliano Bordignon, Christian Probst, Ana Luiza P Mosimann, Vanessa Stella, Daniela Pavoni, Greg Buck, Paul Fawcett, Silvio M Zanata, Lucia Noronha, Marco Krieger and Claudia Nunes Duarte dos Santos
    Citation: BMC Proceedings 2008 2(Suppl 1):P8

    This article is part of a Supplement: Volume 2 Supplement 1

  3. Authors: Michael J Boivin, Paul Bangirana, Rachelle Tomac, Sujal Parikh, Robert Opika-Opoka, Noeline Nakasujja, Margaret Nakakeeto, Chandy John and Bruno Giordani
    Citation: BMC Proceedings 2008 2(Suppl 1):P7

    This article is part of a Supplement: Volume 2 Supplement 1

  4. With technological advances in high-throughput genotyping, it is not unusual to perform hundreds of thousands of tests for each phenotype. Thus, correction to control type I error is essential. The false-disco...

    Authors: Meredith E Tabangin, Jessica G Woo, Chunyan Liu, Todd G Nick and Lisa J Martin
    Citation: BMC Proceedings 2007 1(Suppl 1):S148

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

  5. We applied nonparametric quantitative trait linkage analysis to two rheumatoid arthritis quantitative phenotypes, IgM rheumatoid factor (RF) and anti-cyclic citrullinated peptide autoantibody titer measurement...

    Authors: Kimberly E Taylor, Wei Chen, Christopher I Amos and Lindsey A Criswell
    Citation: BMC Proceedings 2007 1(Suppl 1):S105

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

  6. To evaluate whether there is evidence for two rheumatoid arthritis (RA) susceptibility genes on chromosome 6, we applied new robust methods for two-locus multipoint identical-by-descent mapping to the rheumato...

    Authors: Daniel J Schaid and Wan-Yu Lin
    Citation: BMC Proceedings 2007 1(Suppl 1):S103

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

  7. Three LOD score statistics are often used for genome-wide linkage analysis: the maximum LOD score, the LOD score statistic proposed by Kong and Cox, both based on the allele-sharing between affected sib pairs,...

    Authors: Patricia Margaritte-Jeannin, Marie-Claude Babron and FranƧoise Clerget-Darpoux
    Citation: BMC Proceedings 2007 1(Suppl 1):S102

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

  8. We propose a method to perform linkage genome scans for many correlated traits in the Genetic Analysis Workshop 15 (GAW15) data. The proposed method has two steps: first, we use a clustering method to find the...

    Authors: Tao Feng, Shuanglin Zhang and Qiuying Sha
    Citation: BMC Proceedings 2007 1(Suppl 1):S84

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

  9. Microarray technologies allow the measurement of the expression levels of thousands of transcripts at the same time. As part of Genetic Analysis Workshop 15 (GAW15), we analyzed a data set that measured the ex...

    Authors: Alfonso Buil, Alexandre Perera-Lluna, Ramon Souto, Juan M Peralta, Laura Almasy, Montserrat Vallverdu, Pere Caminal and Jose M Soria
    Citation: BMC Proceedings 2007 1(Suppl 1):S81

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

  10. We recently proposed a new strategy: 2-locus TDT for detecting two susceptibility genes through their interaction in trio families. We apply our method to two candidate genes, A and C, on the Genetic Analysis ...

    Authors: Salma Kotti, Mathieu Bourgey and FranƧoise Clerget-Darpoux
    Citation: BMC Proceedings 2007 1(Suppl 1):S65

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

  11. Modern genetic epidemiology faces the challenge of dealing with hundreds of thousands of genetic markers. The selection of a small initial subset of interesting markers for further investigation can greatly fa...

    Authors: Radoslav Z Nickolov and Valentin B Milanov
    Citation: BMC Proceedings 2007 1(Suppl 1):S57

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

  12. In this report, we compared haplotyping approaches using families and unrelated individuals on the simulated rheumatoid arthritis (RA) data in Problem 3 from Genetic Analysis Workshop (GAW) 15. To investigate ...

    Authors: Xin Li and Jing Li
    Citation: BMC Proceedings 2007 1(Suppl 1):S55

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

  13. The Genetic Analysis Workshop 15 (GAW15) Problem 1 contained baseline expression levels of 8793 genes in immortalized B cells from 194 individuals in 14 Centre d'Etude du Polymorphisme Humain (CEPH) Utah pedig...

    Authors: Jing Hua Zhao, Jian'an Luan, M Fazil Baksh and Qihua Tan
    Citation: BMC Proceedings 2007 1(Suppl 1):S52

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

  14. The influence of certain alleles of the HLA-DRB1 locus on risk for rheumatoid arthritis has been well established through linkage and association studies. In addition, other loci in the HLA region on 6p21 may ...

    Authors: Richard Sherva, Lingwei Sun, Joanna Biernacka and Rosalind Neuman
    Citation: BMC Proceedings 2007 1(Suppl 1):S42

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

  15. We compared and evaluated several variable and model selection methods using Bayesian and non-Bayesian approaches for three replicates of the Genetic Analysis Workshop 15 (GAW15) simulated data. In doing so, t...

    Authors: Zhan Ye, Elizabeth J Atkinson, Brooke L Fridley and Mariza de Andrade
    Citation: BMC Proceedings 2007 1(Suppl 1):S34

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

  16. The Genetic Analysis Workshop 15 rheumatoid arthritis data included a set of 460 cases and 460 controls genotyped at 2300 closely spaced markers on a 10 megabase region of chromosome 18q. We conducted a multil...

    Authors: Sharon R Browning and Jessica Thomas
    Citation: BMC Proceedings 2007 1(Suppl 1):S11

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

  17. Here we describe the data provided for Problem 1 of Genetic Analysis Workshop 15. The data provided for Problem 1 were unusual in two ways. First, the phenotype was the level of gene expression for each gene, ...

    Authors: Vivian G Cheung and Richard S Spielman
    Citation: BMC Proceedings 2007 1(Suppl 1):S2

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

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  • 2022 Citation Impact
    0.914 - SNIP (Source Normalized Impact per Paper)
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