PleioGRiP: Genetic risk prediction with pleiotropy

Bioinformatics

Volumn 29, Issue 8, 2013, Pages 1086-1088

  Hartley, Stephen W ^a   Sebastiani, Paola ^b  

^a NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

^b BOSTON UNIVERSITY SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; COMPUTER PROGRAM; GENETIC ASSOCIATION; HUMAN; METHODOLOGY; PHENOTYPE; RISK; SINGLE NUCLEOTIDE POLYMORPHISM;

BAYES THEOREM; GENOME-WIDE ASSOCIATION STUDY; HUMANS; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; RISK; SOFTWARE;

EID: 84876220173     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt081     Document Type: Article

References (6)

1. Hartley, S.W. et al. (2012) Bayesian methods for multivariate modeling ofpleio-tropic SNP associations and genetic risk prediction. Front. Genet., 3, 176.
2. Okser, S. et al. (2010) Genetic variants and their interactions in the prediction of increased pre-clinical carotid atherosclerosis: the cardiovascular risk in young finns study. PLoS Genet., 6, e1001146.
3. Scutari, M. (2010) Learning Bayesian networks with the bnlearn R package. J. Stat. Softw., 35, 1-22.
4. Sebastiani, P. et al. (2012a) Genetic signatures ofexceptional longevity in humans. PLoS One, 7, e29848.
5. Sebastiani, P. et al. (2012b) Nave Bayesian classifier and genetic risk score for genetic risk prediction of a categorical trait: Not so different after all! Front. Genet., 3, 26.
6. Thomas, A. et al. (1992) Bugs: a program to perform Bayesian inference using Gibbs Sampling. In: Bernardo, J. et al. (ed.) Bayesian Statistics 4. Oxford, UK, Oxford University Press, pp. 837-842.