SNP Prioritization Using a Bayesian Probability of Association (Articolo in rivista)

Type
Label
  • SNP Prioritization Using a Bayesian Probability of Association (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1002/gepi.21704 (literal)
Alternative label
  • Thompson, John R.; Goegele, Martin; Weichenberger, Christian X.; Modenese, Mirko; Attia, John; Barrett, Jennifer H.; Boehnke, Michael; De Grandi, Alessandro; Domingues, Francisco S.; Hicks, Andrew A.; Marroni, Fabio; Pattaro, Cristian; Ruggeri, Fabrizio; Borsani, Giuseppe; Casari, Giorgio; Parmigiani, Giovanni; Pastore, Andrea; Pfeufer, Arne; Schwienbacher, Christine; Taliun, Daniel; Fox, Caroline S.; Pramstaller, Peter P.; Minelli, Cosetta (2013)
    SNP Prioritization Using a Bayesian Probability of Association
    in Genetic epidemiology (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Thompson, John R.; Goegele, Martin; Weichenberger, Christian X.; Modenese, Mirko; Attia, John; Barrett, Jennifer H.; Boehnke, Michael; De Grandi, Alessandro; Domingues, Francisco S.; Hicks, Andrew A.; Marroni, Fabio; Pattaro, Cristian; Ruggeri, Fabrizio; Borsani, Giuseppe; Casari, Giorgio; Parmigiani, Giovanni; Pastore, Andrea; Pfeufer, Arne; Schwienbacher, Christine; Taliun, Daniel; Fox, Caroline S.; Pramstaller, Peter P.; Minelli, Cosetta (literal)
Pagina inizio
  • 214 (literal)
Pagina fine
  • 221 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://onlinelibrary.wiley.com/doi/10.1002/gepi.21704/epdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 37 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 2 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • University of Leicester; European Academy of Bozen-Bolzano; University of Newcastle; John Hunter Hosp; University of Leeds; University of Michigan; University of Michigan; Inst Appl Genom; Inst Appl Math & Informat Technol; University of Brescia; Univ Vita Salute San Raffaele; Ctr Translat Genom & Bioinformat; Dana Farber Cancer Center; Harvard University; Universita Ca Foscari Venezia; Helmholtz Association; National Heart Lung & Blood Institute (NHLBI); Ctr Populat Studies; Cent Hosp; University of Lubeck (literal)
Titolo
  • SNP Prioritization Using a Bayesian Probability of Association (literal)
Abstract
  • Prioritization is the process whereby a set of possible candidate genes or SNPs is ranked so that the most promising can be taken forward into further studies. In a genome-wide association study, prioritization is usually based on the P-values alone, but researchers sometimes take account of external annotation information about the SNPs such as whether the SNP lies close to a good candidate gene. Using external information in this way is inherently subjective and is often not formalized, making the analysis difficult to reproduce. Building on previous work that has identified 14 important types of external information, we present an approximate Bayesian analysis that produces an estimate of the probability of association. The calculation combines four sources of information: the genome-wide data, SNP information derived from bioinformatics databases, empirical SNP weights, and the researchers subjective prior opinions. The calculation is fast enough that it can be applied to millions of SNPS and although it does rely on subjective judgments, those judgments are made explicit so that the final SNP selection can be reproduced. We show that the resulting probability of association is intuitively more appealing than the P-value because it is easier to interpret and it makes allowance for the power of the study. We illustrate the use of the probability of association for SNP prioritization by applying it to a meta-analysis of kidney function genome-wide association studies and demonstrate that SNP selection performs better using the probability of association compared with P-values alone. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
Insieme di parole chiave di
data.CNR.it