| Titre : | Logic regression for analysis of the association between genetic variation in the renin-angiotensin system and myocardial infarction or stroke. (2007) |
| Auteurs : | KOOPERBERG (Charles) : USA. Division of Public Health Sciences. Fred Hutchinson Cancer Research Center. Seattle. WA. ; Joshua-C BIS ; Susan-R HECKBERT ; Thomas LUMLEY ; Kristin-D MARCIANTE ; PSATY (Bruce-M) : USA. Department of Health Services. School of Public Health and Community Medicine. University of Washington. Seattle. WA. ; University of Washington. Cardiovascular Health Research Unit. Seattle. WA. USA ; University of Washington. School of Public Health and Community Medicine. Department of Biostatistics. Seattle. WA. USA |
| Type de document : | Article |
| Dans : | American journal of epidemiology (vol. 165, n° 3, 2007) |
| Pagination : | 334-343 |
| Langues: | Anglais |
| Mots-clés : | Accident cérébrovasculaire ; Epidémiologie ; Association ; Génétique ; Méthodologie ; Méthode ; Modèle ; Homme ; Appareil circulatoire [pathologie] ; Myocarde [pathologie] ; Vaisseau sanguin encéphale [pathologie] ; Système nerveux [pathologie] ; Vaisseau sanguin [pathologie] ; Cardiopathie |
| Résumé : | [BDSP. Notice produite par INIST-CNRS cR0xgBjC. Diffusion soumise à autorisation]. Recent developments in genetic sequencing technology now make it possible to genotype large numbers of single nucleotide polymorphisms (SNPs) in large samples. Many association studies using SNP data are now being carried out. Typically, these observational studies establish whether certain haplotypes or individual SNPs are associated with a health outcome. Few methods exist for finding interaction effects among multiple SNPs or between SNPs and environmental factors. In this paper, the authors describe logic regression, an exploratory method with which to identify interactions for further research. They illustrate this method using data from a US case-control study of myocardial infarction and stroke (1995-1999) carried out among 1,614 persons in Washington State who were genotyped for 32 SNPs on five genes in the renin-angiotensin system. |
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