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  8. 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
    Content type: Oral presentation Published on:

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

  13. 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
    Content type: Poster presentation Published on:

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

  14. To explore the mapping of factors regulating gene expression, we have carried out linkage studies using expression data from individual transcripts (from Affymetrix microarrays; Genetic Analysis Workshop 15 Pr...

    Authors: Jeanette N McClintick, Yunlong Liu and Howard J Edenberg
    Citation: BMC Proceedings 2007 1(Suppl 1):S155
    Content type: Proceedings Published on:

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

  15. We evaluate the impact of three pre-processing methods for Affymetrix microarray data on expression quantitative trait locus (eQTL) mapping, using 14 CEPH Utah families (GAW Problem 1 data). Different sets of ...

    Authors: Aurelie Labbe, Marie-Paule Roth, Pierre-Hugues Carmichael and Maria Martinez
    Citation: BMC Proceedings 2007 1(Suppl 1):S153
    Content type: Proceedings Published on:

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

  16. The goal of this paper is to investigate the effects of normalization procedures for expression data on linkage results. We selected the two most commonly used expression data extraction and normalization meth...

    Authors: Mariza de Andrade, Elizabeth J Atkinson, Brooke L Fridley, Ellen L Goode, Shannon McDonnell, Wen Liu-Mares, Kari G Rabe, Zhifu Sun and Susan L Slager
    Citation: BMC Proceedings 2007 1(Suppl 1):S151
    Content type: Proceedings Published on:

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

  17. By applying an association test to analyze the data sets from Genetic Analysis Workshop 15 Problem 3, we compare power using different haplotype-block information. The results from using both of the two differ...

    Authors: Rui Tang, Fei Wang, Qiuying Sha, Shuanglin Zhang and Huann-Sheng Chen
    Citation: BMC Proceedings 2007 1(Suppl 1):S149
    Content type: Proceedings Published on:

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

  18. 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
    Content type: Proceedings Published on:

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

  19. A new type of test is presented for genome-wide association studies using a case-control design. It is referred to as the adaptive two-stage (ATS) analysis, being based on both the Hardy-Weinberg disequilibriu...

    Authors: Kijoung Song, Qing Lu, Xiwu Lin, Dawn Waterworth and Robert C Elston
    Citation: BMC Proceedings 2007 1(Suppl 1):S147
    Content type: Proceedings Published on:

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

  20. 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
    Content type: Proceedings Published on:

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

  22. We sought to i) identify putative genetic determinants of the severity of rheumatoid arthritis in the NARAC (North American Rheumatoid Arthritis Consortium) data, ii) assess whether known candidate genes for d...

    Authors: Rinku Sutradhar, Dushanthi Pinnaduwage and Shelley B Bull
    Citation: BMC Proceedings 2007 1(Suppl 1):S120
    Content type: Proceedings Published on:

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

  23. We studied rheumatoid arthritis (RA) in the North American Rheumatoid Arthritis Consortium (NARAC) data (1499 subjects; 757 families). Identical methods were applied for studying RA in the Genetic Analysis Wor...

    Authors: Aldi T Kraja, Jon Corbett, An Ping, Rosa S Lin, Petra A Jacobsen, Michael Crosswhite, Ingrid B Borecki and Michael A Province
    Citation: BMC Proceedings 2007 1(Suppl 1):S116
    Content type: Proceedings Published on:

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

  24. Our aim is to develop methods for identifying a (causal) variant or variants from a dense panel of single-nucleotide polymorphisms (SNPs) that are genotyped on the evidence of previous studies. Because a large...

    Authors: Hae-Won Uh, Bart JA Mertens, Henk Jan van der Wijk, Hein Putter, Hans C van Houwelingen and Jeanine J Houwing-Duistermaat
    Citation: BMC Proceedings 2007 1(Suppl 1):S114
    Content type: Proceedings Published on:

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

  25. Although rheumatoid arthritis, a chronic and inflammatory disease affecting numerous adults, has a complex genetic component involving the human leukocyte antigen region, additional genomic regions most likely...

    Authors: Fredrick R Schumacher and Peter Kraft
    Citation: BMC Proceedings 2007 1(Suppl 1):S112
    Content type: Proceedings Published on:

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

  26. 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
    Content type: Proceedings Published on:

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

  27. 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
    Content type: Proceedings Published on:

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

  28. 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
    Content type: Proceedings Published on:

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

  29. 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
    Content type: Proceedings Published on:

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

  30. 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
    Content type: Proceedings Published on:

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

  31. 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
    Content type: Proceedings Published on:

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

  32. The goal of this paper is to investigate the effect of using principal components as a data reduction method for expression data in linkage analysis. We used 45 probes normalized using the Affymetrix Global Sc...

    Authors: Elizabeth J Atkinson, Brooke L Fridley, Ellen L Goode, Shannon K McDonnell, Wen Liu-Mares, Kari G Rabe, Zhifu Sun, Susan L Slager and Mariza de Andrade
    Citation: BMC Proceedings 2007 1(Suppl 1):S79
    Content type: Proceedings Published on:

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

  33. Clinical heterogeneity of a disease may reflect an underlying genetic heterogeneity, which may hinder the detection of trait loci. Consequently, many statistical methods have been developed that allow for the ...

    Authors: HervƩ Perdry, Brion S Maher, Marie-Claude Babron, Toby McHenry, FranƧoise Clerget-Darpoux and Mary L Marazita
    Citation: BMC Proceedings 2007 1(Suppl 1):S77
    Content type: Proceedings Published on:

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

  34. We incorporate population effects of sex and antibodies directed against cyclic citrullinated peptides (anti-CCP) into the linkage analysis of rheumatoid arthritis (RA) with microsatellites data provided by th...

    Authors: JƩrƩmie JP Lebrec, Quinta Helmer, Iryna Nishchenko and Hans C van Houwelingen
    Citation: BMC Proceedings 2007 1(Suppl 1):S75
    Content type: Proceedings Published on:

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

  35. 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
    Content type: Proceedings Published on:

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

  36. 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
    Content type: Proceedings Published on:

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

  37. 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
    Content type: Proceedings Published on:

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

  38. 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
    Content type: Proceedings Published on:

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

  39. 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
    Content type: Proceedings Published on:

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

  40. A family-based association study design is not only able to localize causative genes more precisely than linkage analysis, but it also helps explain the genetic mechanism underlying the trait under study. Ther...

    Authors: Guan Xing, Chao Xing, Qing Lu and Robert C Elston
    Citation: BMC Proceedings 2007 1(Suppl 1):S44
    Content type: Proceedings Published on:

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

  41. 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
    Content type: Proceedings Published on:

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

  42. This study evaluated the utility of unrelated controls and flanking markers when performing joint modeling of linkage and association by the LAMP software (version 0.0.6) [Am J Hum Genet 2005, 76:934ā€“949; Am J Hu...

    Authors: Wan-Yu Lin and Daniel J Schaid
    Citation: BMC Proceedings 2007 1(Suppl 1):S40
    Content type: Proceedings Published on:

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

  43. There has been a growing interest in developing strategies for identifying single-nucleotide polymorphisms (SNPs) that explain a linkage signal by joint modeling of linkage and association. We compare several ...

    Authors: Ming-Huei Chen, Jing Cui, Chao-Yu Guo, L Adrienne Cupples, Paul Van Eerdewegh, JosƩe Dupuis and Qiong Yang
    Citation: BMC Proceedings 2007 1(Suppl 1):S38
    Content type: Proceedings Published on:

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

  44. In a small chromosomal region, a number of polymorphisms may be both linked to and associated with a disease. Potentially directly associated causal loci may be distinguished from indirectly associated loci by...

    Authors: Joanna M Biernacka, Pimphen Charoen and Heather J Cordell
    Citation: BMC Proceedings 2007 1(Suppl 1):S36
    Content type: Proceedings Published on:

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

  45. 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
    Content type: Proceedings Published on:

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

  47. 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
    Content type: Proceedings Published on:

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

  48. Genotype-expression association analysis using linear regression may produce different test results depending on whether founders only or all pedigreed members are used. This difference is not due to the corre...

    Authors: Young Ju Suh, Hye-Soon Lee, Franak Batliwalla and Wentian Li
    Citation: BMC Proceedings 2007 1(Suppl 1):S8
    Content type: Proceedings Published on:

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

  49. 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
    Content type: Proceedings Published on:

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

  50. 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
    Content type: Proceedings Published on:

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

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