Identifying rare variants from exome scans: The GAW17 experience

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; Nan Laird; Nathan Pankratz; Andrew Paterson; Elizabeth Pugh; Brian Suarez; Yan Sun; Alun Thomas; Nathan Tintle; Xiaofeng Zhu; Andreas Ziegler; Jean W. MacCluer; Laura Almasy

doi:10.1186/1753-6561-5-S9-S1

Identifying rare variants from exome scans: The GAW17 experience

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, Nan Laird, Nathan Pankratz, Andrew Paterson, Elizabeth Pugh, Brian Suarez, Yan Sun, Alun ThomasNathan Tintle, Xiaofeng Zhu, Andreas Ziegler, Jean W. MacCluer, Laura Almasy

^*Corresponding author for this work

Institute of Medical Biometry and Statistic

5 Citations (Scopus)

Abstract

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 article, we present an overview of the 1000 Genomes Project exome data and simulated phenotype data that were distributed to GAW17 participants for analyses, the different issues addressed by the participants, and the process of preparation of manuscripts resulting from the discussions during the workshop.

Original language	English
Article number	S1
Journal	BMC Proceedings
Volume	5
Issue number	SUPPL. 9
ISSN	1753-6561
DOIs	https://doi.org/10.1186/1753-6561-5-S9-S1
Publication status	Published - 2011

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1186/1753-6561-5-S9-S1

Cite this

Ghosh, S., Bickeböller, H., Bailey, J., Bailey-Wilson, J. E., Cantor, R., Culverhouse, R., Daw, W., Destefano, A. L., Engelman, C. D., Hinrichs, A., Houwing-Duistermaat, J., König, I. R., Kent, J., Laird, N., Pankratz, N., Paterson, A., Pugh, E., Suarez, B., Sun, Y., ... Almasy, L. (2011). Identifying rare variants from exome scans: The GAW17 experience. BMC Proceedings, 5(SUPPL. 9), Article S1. https://doi.org/10.1186/1753-6561-5-S9-S1

@article{5e8896abd04d4d2bbc42ac4992c0338f,

title = "Identifying rare variants from exome scans: The GAW17 experience",

abstract = "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 article, we present an overview of the 1000 Genomes Project exome data and simulated phenotype data that were distributed to GAW17 participants for analyses, the different issues addressed by the participants, and the process of preparation of manuscripts resulting from the discussions during the workshop.",

author = "Saurabh Ghosh and Heike Bickeb{\"o}ller and Julia Bailey and Bailey-Wilson, {Joan E.} and Rita Cantor and Robert Culverhouse and Warwick Daw and Destefano, {Anita L.} and Engelman, {Corinne D.} and Anthony Hinrichs and Jeanine Houwing-Duistermaat and K{\"o}nig, {Inke R.} and Jack Kent and Nan Laird and Nathan Pankratz and Andrew Paterson and Elizabeth Pugh and Brian Suarez and Yan Sun and Alun Thomas and Nathan Tintle and Xiaofeng Zhu and Andreas Ziegler and MacCluer, {Jean W.} and Laura Almasy",

year = "2011",

doi = "10.1186/1753-6561-5-S9-S1",

language = "English",

volume = "5",

journal = "BMC Proceedings",

issn = "1753-6561",

number = "SUPPL. 9",

}

Ghosh, S, Bickeböller, H, Bailey, J, Bailey-Wilson, JE, Cantor, R, Culverhouse, R, Daw, W, Destefano, AL, Engelman, CD, Hinrichs, A, Houwing-Duistermaat, J, König, IR, Kent, J, Laird, N, Pankratz, N, Paterson, A, Pugh, E, Suarez, B, Sun, Y, Thomas, A, Tintle, N, Zhu, X, Ziegler, A, MacCluer, JW & Almasy, L 2011, 'Identifying rare variants from exome scans: The GAW17 experience', BMC Proceedings, vol. 5, no. SUPPL. 9, S1. https://doi.org/10.1186/1753-6561-5-S9-S1

TY - JOUR

T1 - Identifying rare variants from exome scans: The GAW17 experience

AU - Ghosh, Saurabh

AU - Bickeböller, Heike

AU - Bailey, Julia

AU - Bailey-Wilson, Joan E.

AU - Cantor, Rita

AU - Culverhouse, Robert

AU - Daw, Warwick

AU - Destefano, Anita L.

AU - Engelman, Corinne D.

AU - Hinrichs, Anthony

AU - Houwing-Duistermaat, Jeanine

AU - König, Inke R.

AU - Kent, Jack

AU - Laird, Nan

AU - Pankratz, Nathan

AU - Paterson, Andrew

AU - Pugh, Elizabeth

AU - Suarez, Brian

AU - Sun, Yan

AU - Thomas, Alun

AU - Tintle, Nathan

AU - Zhu, Xiaofeng

AU - Ziegler, Andreas

AU - MacCluer, Jean W.

AU - Almasy, Laura

PY - 2011

Y1 - 2011

N2 - 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 article, we present an overview of the 1000 Genomes Project exome data and simulated phenotype data that were distributed to GAW17 participants for analyses, the different issues addressed by the participants, and the process of preparation of manuscripts resulting from the discussions during the workshop.

AB - 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 article, we present an overview of the 1000 Genomes Project exome data and simulated phenotype data that were distributed to GAW17 participants for analyses, the different issues addressed by the participants, and the process of preparation of manuscripts resulting from the discussions during the workshop.

UR - http://www.scopus.com/inward/record.url?scp=84859744379&partnerID=8YFLogxK

U2 - 10.1186/1753-6561-5-S9-S1

DO - 10.1186/1753-6561-5-S9-S1

M3 - Journal articles

AN - SCOPUS:84859744379

SN - 1753-6561

VL - 5

JO - BMC Proceedings

JF - BMC Proceedings

IS - SUPPL. 9

M1 - S1

ER -

Identifying rare variants from exome scans: The GAW17 experience

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this