NDLI: Gene-based Genomewide Association Analysis: A Comparison Study

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Gene-based Genomewide Association Analysis: A Comparison Study

Content Provider	PubMed Central
Author	Kang, Guolian Jiang, Bo Cui, Yuehua
Copyright Year	2013
Abstract	The study of gene-based genetic associations has gained conceptual popularity recently. Biologic insight into the etiology of a complex disease can be gained by focusing on genes as testing units. Several gene-based methods (e.g., minimum p-value (or maximum test statistic) or entropy-based method) have been developed and have more power than a single nucleotide polymorphism (SNP)-based analysis. The objective of this study is to compare the performance of the entropy-based method with the minimum p-value and single SNP–based analysis and to explore their strengths and weaknesses. Simulation studies show that: 1) all three methods can reasonably control the false-positive rate; 2) the minimum p-value method outperforms the entropy-based and the single SNP–based method when only one disease-related SNP occurs within the gene; 3) the entropy-based method outperforms the other methods when there are more than two disease-related SNPs in the gene; and 4) the entropy-based method is computationally more efficient than the minimum p-value method. Application to a real data set shows that more significant genes were identified by the entropy-based method than by the other two methods.
Related Links	http://dx.doi.org/10.2174/13892029113149990001
Ending Page	255
Page Count	6
Starting Page	250
File Format	PDF
ISSN	13892029
e-ISSN	18755488
Journal	Current Genomics
Issue Number	4
Volume Number	14
Language	English
Publisher	Bentham Science Publishers
Publisher Date	2013-06-01
Access Restriction	Open
Rights Holder	Bentham Science Publishers
Subject Keyword	Genetics(clinical) Genetics Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Genetics Genetics (clinical)

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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