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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. Morley et al. (Nature 2004, 430:743ā€“747) detected significant linkages to the expression levels of 142 genes (of 3554) at a reported threshold of genome-wide p = 0.001 (LOD ā‰ˆ 5.3), using 14 three-generation Centr...

    Authors: Jianxin Shi, David O Siegmund and Douglas F Levinson
    Citation: BMC Proceedings 2007 1(Suppl 1):S145

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

  6. The CEPH samples are an invaluable resource for mapping genes that contribute to traits that can be measured in cell lines. With the many markers that have already been genotyped for the Centre d'Etude du Poly...

    Authors: E Warwick Daw and Robert Yu
    Citation: BMC Proceedings 2007 1(Suppl 1):S108

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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. Many genes with major effects on quantitative traits have been reported to interact with other genes. However, finding a group of interacting genes from thousands of SNPs is challenging. Hence, an efficient an...

    Authors: Junghyun Namkung, Jin-Wu Nam and Taesung Park
    Citation: BMC Proceedings 2007 1(Suppl 1):S69

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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Several methods to identify tagging single-nucleotide polymorphisms (SNPs) are in common use for genetic epidemiologic studies; however, there may be loss of information when using only a subset of SNPs. We so...

    Authors: Ellen L Goode, Brooke L Fridley, Zhifu Sun, Elizabeth J Atkinson, Alex S Nord, Shannon K McDonnell, Gail P Jarvik, Mariza de Andrade and Susan L Slager
    Citation: BMC Proceedings 2007 1(Suppl 1):S6

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

  21. 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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