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Volume 8 Supplement 1

Genetic Analysis Workshop 18: Human sequence data in extended pedigrees


Edited by H Bickeböller, JN Bailey, J Beyene, RM Cantor, HJ Cordell, RC Culverhouse, CD Engelman, DW Fardo, S Ghosh, IR König, J Lorenzo Bermejo, PE Melton, SA Santorico, GA Satten, L Sun, NL Tintle, A Ziegler, JW MacCluer and L Almasy

Publication charges for this supplement were funded by the Texas Biomedical Research Institute. Articles have undergone the journal's standard review process for supplements. AZ received intramural funding from the University of Lübeck, Germany. The remaining Supplement Editors declare that they have no competing interests.

Genetic Analysis Workshop 18. Go to conference site.

Stevenson, WA, USA13-17 October 2012

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  1. Content type: Proceedings

    Following the publication of the ENCODE project results, there has been increasing interest in investigating different areas of the chromosome and evaluating the relative contribution of each area to expressed...

    Authors: Stella Aslibekyan, Howard W Wiener, Guodong Wu, Degui Zhi, Sadeep Shrestha, Gustavo de los Campos and Ana I Vazquez

    Citation: BMC Proceedings 2014 8(Suppl 1):S102

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  2. Content type: Proceedings

    In Genetic Analysis Workshop 18 data, we used a 3-stage approach to explore the benefits of pathway analysis in improving a model to predict 2 diastolic blood pressure phenotypes as a function of genetic varia...

    Authors: Line Dufresne, Karim Oualkacha, Vincenzo Forgetta and Celia MT Greenwood

    Citation: BMC Proceedings 2014 8(Suppl 1):S103

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  3. Content type: Proceedings

    Genome wide association studies (GWAS) have been used to search for associations between genetic variants and a phenotypic trait of interest. New technologies, such as next-generation sequencing, hold the pote...

    Authors: Jeremy S Edwards, Susan R Atlas, Susan M Wilson, Candice F Cooper, Li Luo and Christine A Stidley

    Citation: BMC Proceedings 2014 8(Suppl 1):S104

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  4. Content type: Proceedings

    Pathway analysis approaches for sequence data typically either operate in a single stage (all variants within all genes in the pathway are combined into a single, very large set of variants that can then be an...

    Authors: Brian Greco, Alexander Luedtke, Allison Hainline, Carolina Alvarez, Andrew Beck and Nathan L Tintle

    Citation: BMC Proceedings 2014 8(Suppl 1):S105

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  5. Content type: Proceedings

    We conduct pedigree-based linkage and association analyses of simulated systolic blood pressure data in the nonascertained large Mexican American pedigrees provided by Genetic Analysis Workshop 18, focusing on...

    Authors: Shelley B Bull, Zhijian Chen, Kuan-Rui Tan and Julia Poirier

    Citation: BMC Proceedings 2014 8(Suppl 1):S107

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  6. Content type: Proceedings

    We apply a multiphase strategy for pedigree-based genetic analysis of systolic blood pressure data collected in a longitudinal study of large Mexican American pedigrees. In the first phase, we conduct variance...

    Authors: Zhijian Chen, Kuan-Rui Tan and Shelley B Bull

    Citation: BMC Proceedings 2014 8(Suppl 1):S108

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  7. Content type: Proceedings

    We conducted linkage analysis using the genome-wide association study data on chromosome 3, and then assessed association between hypertension and rare variants of genes located in the regions showing evidence...

    Authors: Yen-Feng Chiu, Ren-Hua Chung, Chun-Yi Lee, Hui-Yi Kao, Lin Hou and Fang-Chi Hsu

    Citation: BMC Proceedings 2014 8(Suppl 1):S109

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  8. Content type: Proceedings

    Two-point linkage analyses of whole genome sequence data are a promising approach to identify rare variants that segregate with complex diseases in large pedigrees because, in theory, the causal variants have ...

    Authors: Silke Szymczak, Claire L Simpson, Cheryl D Cropp and Joan E Bailey-Wilson

    Citation: BMC Proceedings 2014 8(Suppl 1):S110

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  9. Content type: Proceedings

    To realize the full potential of next-generation sequencing, it is important to consider multiple sources of genetic information, including inheritance, association, and bioinformatics. To illustrate the promi...

    Authors: William CL Stewart, Yungui Huang, David A Greenberg and Veronica J Vieland

    Citation: BMC Proceedings 2014 8(Suppl 1):S111

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  • Citation Impact

    0.74 - Cite Score

    0.334 - Source Normalized Impact per Paper (SNIP)

    0.35 - SCImago Journal Rank (SJR)





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