Analysis of Large Genomic Data in Silico: The EPICNorfolk Study of Obesity

Jing Hua Zhao, Jian'an Luan, Qihua Tan, Ruth Loos, Nick Wareham

Publikation: Konferencebidrag uden forlag/tidsskriftPaperForskningpeer review

Resumé

In human genetics, large-scale data are now available with advances
in genotyping technologies and international collaborative projects. Our
ongoing study of obesity involves Affymetrix 500k genechips on approximately
7000 individuals from the European Prospective Investigation of Cancer (EPIC)
Norfolk study. Although the scale of our data is well beyond the ability of many
software systems, we have successfully performed the analysis using the
statistical analysis system (SAS) software. Our implementation trades memory
with computing time and requires moderate hardware configuration. By using
such an established system, it extends some earlier discussions in a more
constructive and accessible way. We report our findings and give some
recommendations with SAS. We also compare briefly with alternative
implementations. Our work is relevant to researchers conducting analysis of
large-scale data in general, and genomewide association studies in particular.
OriginalsprogEngelsk
Publikationsdato2007
Antal sider10
DOI
StatusUdgivet - 2007
BegivenhedThird International Conference on Intelligent Computing - Qingdao, Kina
Varighed: 21. aug. 200724. aug. 2007
Konferencens nummer: 3

Konference

KonferenceThird International Conference on Intelligent Computing
Nummer3
LandKina
ByQingdao
Periode21/08/200724/08/2007

Fingeraftryk

Medical Genetics
Computer Simulation
Research Personnel
Neoplasms

Citer dette

Zhao, J. H., Luan, J., Tan, Q., Loos, R., & Wareham, N. (2007). Analysis of Large Genomic Data in Silico: The EPICNorfolk Study of Obesity. Paper præsenteret på Third International Conference on Intelligent Computing, Qingdao, Kina. https://doi.org/10.1007/978-3-540-74282-1_87
Zhao, Jing Hua ; Luan, Jian'an ; Tan, Qihua ; Loos, Ruth ; Wareham, Nick. / Analysis of Large Genomic Data in Silico: The EPICNorfolk Study of Obesity. Paper præsenteret på Third International Conference on Intelligent Computing, Qingdao, Kina.10 s.
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title = "Analysis of Large Genomic Data in Silico: The EPICNorfolk Study of Obesity",
abstract = "In human genetics, large-scale data are now available with advancesin genotyping technologies and international collaborative projects. Ourongoing study of obesity involves Affymetrix 500k genechips on approximately7000 individuals from the European Prospective Investigation of Cancer (EPIC)Norfolk study. Although the scale of our data is well beyond the ability of manysoftware systems, we have successfully performed the analysis using thestatistical analysis system (SAS) software. Our implementation trades memorywith computing time and requires moderate hardware configuration. By usingsuch an established system, it extends some earlier discussions in a moreconstructive and accessible way. We report our findings and give somerecommendations with SAS. We also compare briefly with alternativeimplementations. Our work is relevant to researchers conducting analysis oflarge-scale data in general, and genomewide association studies in particular.",
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Zhao, JH, Luan, J, Tan, Q, Loos, R & Wareham, N 2007, 'Analysis of Large Genomic Data in Silico: The EPICNorfolk Study of Obesity', Paper fremlagt ved Third International Conference on Intelligent Computing, Qingdao, Kina, 21/08/2007 - 24/08/2007. https://doi.org/10.1007/978-3-540-74282-1_87

Analysis of Large Genomic Data in Silico: The EPICNorfolk Study of Obesity. / Zhao, Jing Hua ; Luan, Jian'an; Tan, Qihua; Loos, Ruth; Wareham, Nick.

2007. Paper præsenteret på Third International Conference on Intelligent Computing, Qingdao, Kina.

Publikation: Konferencebidrag uden forlag/tidsskriftPaperForskningpeer review

TY - CONF

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AU - Luan, Jian'an

AU - Tan, Qihua

AU - Loos, Ruth

AU - Wareham, Nick

PY - 2007

Y1 - 2007

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AB - In human genetics, large-scale data are now available with advancesin genotyping technologies and international collaborative projects. Ourongoing study of obesity involves Affymetrix 500k genechips on approximately7000 individuals from the European Prospective Investigation of Cancer (EPIC)Norfolk study. Although the scale of our data is well beyond the ability of manysoftware systems, we have successfully performed the analysis using thestatistical analysis system (SAS) software. Our implementation trades memorywith computing time and requires moderate hardware configuration. By usingsuch an established system, it extends some earlier discussions in a moreconstructive and accessible way. We report our findings and give somerecommendations with SAS. We also compare briefly with alternativeimplementations. Our work is relevant to researchers conducting analysis oflarge-scale data in general, and genomewide association studies in particular.

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Zhao JH, Luan J, Tan Q, Loos R, Wareham N. Analysis of Large Genomic Data in Silico: The EPICNorfolk Study of Obesity. 2007. Paper præsenteret på Third International Conference on Intelligent Computing, Qingdao, Kina. https://doi.org/10.1007/978-3-540-74282-1_87