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Importance of different types of prior knowledge in selecting genome-wide findings for follow-up.

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Title: Importance of different types of prior knowledge in selecting genome-wide findings for follow-up.
Authors: Minelli, C
De Grandi, A
Weichenberger, CX
Gögele, M
Modenese, M
Attia, J
Barrett, JH
Boehnke, M
Borsani, G
Casari, G
Fox, CS
Freina, T
Hicks, AA
Marroni, F
Parmigiani, G
Pastore, A
Pattaro, C
Pfeufer, A
Ruggeri, F
Schwienbacher, C
Taliun, D
Pramstaller, PP
Domingues, FS
Thompson, JR
Item Type: Journal Article
Abstract: Biological plausibility and other prior information could help select genome-wide association (GWA) findings for further follow-up, but there is no consensus on which types of knowledge should be considered or how to weight them. We used experts opinions and empirical evidence to estimate the relative importance of 15 types of information at the single-nucleotide polymorphism (SNP) and gene levels. Opinions were elicited from 10 experts using a two-round Delphi survey. Empirical evidence was obtained by comparing the frequency of each type of characteristic in SNPs established as being associated with seven disease traits through GWA meta-analysis and independent replication, with the corresponding frequency in a randomly selected set of SNPs. SNP and gene characteristics were retrieved using a specially developed bioinformatics tool. Both the expert and the empirical evidence rated previous association in a meta-analysis or more than one study as conferring the highest relative probability of true association, whereas previous association in a single study ranked much lower. High relative probabilities were also observed for location in a functional protein domain, although location in a region evolutionarily conserved in vertebrates was ranked high by the data but not by the experts. Our empirical evidence did not support the importance attributed by the experts to whether the gene encodes a protein in a pathway or shows interactions relevant to the trait. Our findings provide insight into the selection and weighting of different types of knowledge in SNP or gene prioritization, and point to areas requiring further research.
Issue Date: 28-Feb-2013
URI: http://hdl.handle.net/10044/1/19325
DOI: http://dx.doi.org/10.1002/gepi.21705
Start Page: 205
End Page: 213
Journal / Book Title: Genet Epidemiol
Volume: 37
Issue: 2
Copyright Statement: © 2013 WILEY PERIODICALS, INC.. This is the peer reviewed version of the following article: Minelli, C., De Grandi, A., Weichenberger, C. X., Gögele, M., Modenese, M., Attia, J., Barrett, J. H., Boehnke, M., Borsani, G., Casari, G., Fox, C. S., Freina, T., Hicks, A. A., Marroni, F., Parmigiani, G., Pastore, A., Pattaro, C., Pfeufer, A., Ruggeri, F., Schwienbacher, C., Taliun, D., Pramstaller, P. P., Domingues, F. S. and Thompson, J. R. (2013), Importance of Different Types of Prior Knowledge in Selecting Genome-Wide Findings for Follow-Up. Genet. Epidemiol., 37: 205–213, which has been published in final form at http://dx.doi.org/10.1002/gepi.21705.  This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
Conference Place: United States
Appears in Collections:Population Genetics and Gene Therapy
Infectious Disease Epidemiology



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