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BMC Proceedings

Volume 5 Supplement 9

Genetic Analysis Workshop 17: Unraveling Human Exome Data

Proceedings

Edited by S Ghosh, H Bickeböller, J Bailey, JE Bailey-Wilson, R Cantor, W Daw, AL DeStefano, CD Engelman, A Hinrichs, J Houwing-Duistermaat, IR König, J Kent Jr., N Pankratz, A Paterson, E Pugh, Y Sun, A Thomas, N Tintle, X Zhu, JW MacCluer and L Almasy

Genetic Analysis Workshop 17. Go to conference site.

Boston, MA, USA13-16 October 2010

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  1. Content type: Proceedings

    Genetic Analysis Workshop 17 (GAW17) provided a platform for evaluating existing statistical genetic methods and for developing novel methods to analyze rare variants that modulate complex traits. In this arti...

    Authors: Saurabh Ghosh, Heike Bickeböller, Julia Bailey, Joan E Bailey-Wilson, Rita Cantor, Robert Culverhouse, Warwick Daw, Anita L DeStefano, Corinne D Engelman, Anthony Hinrichs, Jeanine Houwing-Duistermaat, Inke R König, Jack Kent Jr, Nan Laird, Nathan Pankratz, Andrew Paterson…

    Citation: BMC Proceedings 2011 5(Suppl 9):S1

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  2. Content type: Proceedings

    The data set simulated for Genetic Analysis Workshop 17 was designed to mimic a subset of data that might be produced in a full exome screen for a complex disorder and related risk factors in order to permit w...

    Authors: Laura Almasy, Thomas D Dyer, Juan Manuel Peralta, Jack W Kent Jr, Jac C Charlesworth, Joanne E Curran and John Blangero

    Citation: BMC Proceedings 2011 5(Suppl 9):S2

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  3. Content type: Proceedings

    In this study, we analyze the Genetic Analysis Workshop 17 data to identify regions of single-nucleotide polymorphisms (SNPs) that exhibit a significant influence on response rate (proportion of subjects with ...

    Authors: Michael Agne, Chien-Hsun Huang, Inchi Hu, Haitian Wang, Tian Zheng and Shaw-Hwa Lo

    Citation: BMC Proceedings 2011 5(Suppl 9):S3

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  4. Content type: Proceedings

    We propose a factor-screening method based on a Bayesian model selection framework and apply it to Genetic Analysis Workshop 17 simulated data with unrelated individuals to identify genes and SNP variants asso...

    Authors: Kith Pradhan, Seungtai Chris Yoon, Tao Wang and Kenny Ye

    Citation: BMC Proceedings 2011 5(Suppl 9):S4

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  5. Content type: Proceedings

    Next-generation sequencing technologies enable us to explore rare functional variants. However, most current statistical techniques are too underpowered to capture signals of rare variants in genome-wide assoc...

    Authors: Vitara Pungpapong, Libo Wang, Yanzhu Lin, Dabao Zhang and Min Zhang

    Citation: BMC Proceedings 2011 5(Suppl 9):S5

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  6. Content type: Proceedings

    Rare genetic variants have been shown to be important to the susceptibility of common human diseases. Methods for detecting association of rare genetic variants are drawing much attention. In this report, we a...

    Authors: Hongyan Xu and Varghese George

    Citation: BMC Proceedings 2011 5(Suppl 9):S7

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  7. Content type: Proceedings

    Next-generation sequencing technologies now make it possible to genotype and measure hundreds of thousands of rare genetic variations in individuals across the genome. Characterization of high-density genetic ...

    Authors: Tesfaye M Baye, Hua He, Lili Ding, Brad G Kurowski, Xue Zhang and Lisa J Martin

    Citation: BMC Proceedings 2011 5(Suppl 9):S8

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  8. Content type: Proceedings

    We applied our method of pairwise shared genomic segment (pSGS) analysis to high-risk pedigrees identified from the Genetic Analysis Workshop 17 (GAW17) mini-exome sequencing data set. The original shared geno...

    Authors: Zheng Cai, Stacey Knight, Alun Thomas and Nicola J Camp

    Citation: BMC Proceedings 2011 5(Suppl 9):S9

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  9. Content type: Proceedings

    We propose a nonparametric Bayes-based clustering algorithm to detect associations with rare and common single-nucleotide polymorphisms (SNPs) for quantitative traits. Unlike current methods, our approach iden...

    Authors: Lili Ding, Tesfaye M Baye, Hua He, Xue Zhang, Brad G Kurowski and Lisa J Martin

    Citation: BMC Proceedings 2011 5(Suppl 9):S10

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  10. Content type: Proceedings

    We aim to identify rare variants that have large effects on trait variance using a cost-efficient strategy. We use an oligogenic segregation analysis as a prioritizing tool for whole-exome sequencing studies t...

    Authors: France Gagnon, Nicole M Roslin and Mathieu Lemire

    Citation: BMC Proceedings 2011 5(Suppl 9):S11

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  11. Content type: Proceedings

    Recent technological advances have allowed us to study individual genomes at a base-pair resolution and have demonstrated that the average exome harbors more than 15,000 genetic variants. However, our ability ...

    Authors: Andrew Jaffe, Genevieve Wojcik, Audrey Chu, Asieh Golozar, Ankit Maroo, Priya Duggal and Alison P Klein

    Citation: BMC Proceedings 2011 5(Suppl 9):S13

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  12. Content type: Proceedings

    Tiled regression is an approach designed to determine the set of independent genetic variants that contribute to the variation of a quantitative trait in the presence of many highly correlated variants. In thi...

    Authors: Heejong Sung, Yoonhee Kim, Juanliang Cai, Cheryl D Cropp, Claire L Simpson, Qing Li, Brian C Perry, Alexa JM Sorant, Joan E Bailey-Wilson and Alexander F Wilson

    Citation: BMC Proceedings 2011 5(Suppl 9):S15

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  13. Content type: Proceedings

    Genome-wide association studies have been successful at identifying common disease variants associated with complex diseases, but the common variants identified have small effect sizes and account for only a s...

    Authors: Ruixue Fan, Chien-Hsun Huang, Shaw-Hwa Lo, Tian Zheng and Iuliana Ionita-Laza

    Citation: BMC Proceedings 2011 5(Suppl 9):S17

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  14. Content type: Proceedings

    Genome-wide association studies often emphasize single-nucleotide polymorphisms with the smallest p-values with less attention given to single-nucleotide polymorphisms not ranked near the top. We suggest that gen...

    Authors: Julius S Ngwa, Alisa K Manning, Jonna L Grimsby, Chen Lu, Wei V Zhuang and Anita L DeStefano

    Citation: BMC Proceedings 2011 5(Suppl 9):S18

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  15. Content type: Proceedings

    Next-generation sequencing has opened up new avenues for the genetic study of complex traits. However, because of the small number of observations for any given rare allele and high sequencing error, it is a c...

    Authors: Peng Wei, Xiaoming Liu and Yun-Xin Fu

    Citation: BMC Proceedings 2011 5(Suppl 9):S20

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