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Volume 1 Supplement 1

Genetic Analysis Workshop 15: Gene Expression Analysis and Approaches to Detecting Multiple Functional Loci

Proceedings

Genetic Analysis Workshop 15: Gene Expression Analysis and Approaches to Detecting Multiple Functional Loci. Go to conference site.

St. Pete Beach, Florida, USA11-15 November 2006

Page 4 of 4

  1. 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:

  2. "Genetical genomics", the study of natural genetic variation combining data from genetic marker-based studies with gene expression analyses, has exploded with the recent development of advanced microarray tech...

    Authors: Yoonhee Kim, Betty Q Doan, Priya Duggal and Joan E Bailey-Wilson
    Citation: BMC Proceedings 2007 1(Suppl 1):S152
    Content type: Proceedings Published on:

  3. 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:

  5. 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:

  6. Variance-components and regression-based methods are frequently used to map quantitative trait loci. The normality of the trait values is usually assumed and violation of this assumption can have a detrimental...

    Authors: Bo Peng, Robert K Yu, Kevin L DeHoff and Christopher I Amos
    Citation: BMC Proceedings 2007 1(Suppl 1):S156
    Content type: Proceedings Published on:

  9. Recent studies have shown that linkage disequilibrium (LD) between single-nucleotide polymorphism (SNP) markers is widespread. Assuming linkage equilibrium has been shown to cause false positives in linkage st...

    Authors: Cornelis A Albers and Hilbert J Kappen
    Citation: BMC Proceedings 2007 1(Suppl 1):S159
    Content type: Proceedings Published on:

  10. We performed a multipoint linkage analysis for rheumatoid arthritis (RA) using high-density single-nucleotide polymorphism (SNP) data for chromosome 6 and chromosome 21 using Genetic Analysis Workshop 15 (GAW1...

    Authors: Kristina Allen-Brady, Benjamin D Horne, Alka Malhotra, Craig Teerlink, Nicola J Camp and Alun Thomas
    Citation: BMC Proceedings 2007 1(Suppl 1):S160
    Content type: Proceedings Published on:

  12. While high-throughput genotyping technologies are becoming readily available, the merit of using these technologies to perform genome-wide association studies has not been established. One major concern is tha...

    Authors: Hua Tang, Jie Peng, Pei Wang, Marc Coram and Li Hsu
    Citation: BMC Proceedings 2007 1(Suppl 1):S162
    Content type: Proceedings Published on:

  13. A number of autoimmune and other diseases have well established HLA associations; in many cases there is strong evidence for the direct involvement of the HLA class II peptide-presenting antigens, e.g., HLA DR...

    Authors: Glenys Thomson and Ana Maria Valdes
    Citation: BMC Proceedings 2007 1(Suppl 1):S163
    Content type: Proceedings Published on:

  15. In whole-genome association studies, at the first stage, all markers are tested for association and their test statistics or p-values are ranked. At the second stage, some most significant markers are further ana...

    Authors: Gang Zheng, Jungnam Joo, Jing-Ping Lin, Mario Stylianou, Myron A Waclawiw and Nancy L Geller
    Citation: BMC Proceedings 2007 1(Suppl 1):S165
    Content type: Proceedings Published on:

  16. We studied the impact of marker density on the accuracy of association mapping using Genetic Analysis Workshop 15 simulated dense single-nucleotide polymorphism (SNP) data on chromosome 6. A total of 1500 case...

    Authors: Weihua Zhang, Winston Lau, Cheng Hu and Tai-Yue Kuo
    Citation: BMC Proceedings 2007 1(Suppl 1):S166
    Content type: Proceedings Published on:

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