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Assessing Interactions of Two Loci (rs4242382 and rs10486567) in Familial Prostate Cancer: Statistical Evaluation of Epistasis
- Source :
- PLoS ONE, PLoS ONE, Vol 9, Iss 2, p e89508 (2014)
- Publication Year :
- 2014
- Publisher :
- Public Library of Science (PLoS), 2014.
-
Abstract
- Understanding the impact of multiple genetic variants and their interactions on the disease penetrance of familial multiple prostate cancer is very relevant to the overall understanding of carcinogenesis. We assessed the joint effect of two loci on rs4242382 at 8q24 and rs10486567 at 7p15.2 to this end. We analyzed the data from a Finnish family-based genetic study, which was composed of 947 men including 228 cases in 75 families, to evaluate the respective effects of the two loci on the disease penetrance; in particular, the occurrence and number of prostate cancer cases within a family were utilized to evaluate the interactions between the two loci under the additive and multiplicative Poisson regression models. The risk alleles A at rs4242382 (OR = 1.14, 95% CI 1.08–1.19, P
- Subjects :
- Male
Epidemiology
medicine.disease_cause
Prostate cancer
0302 clinical medicine
Risk Factors
Genotype
Genetics
0303 health sciences
Multidisciplinary
Cancer Risk Factors
Prostate Cancer
Statistics
Prostate Diseases
Penetrance
3. Good health
Oncology
030220 oncology & carcinogenesis
Medicine
Research Article
Risk
Science
Urology
Genetic Causes of Cancer
Kirurgia, anestesiologia, tehohoito, radiologia - Surgery, anesthesiology, intensive care, radiology
Biostatistics
Biology
ta3111
Polymorphism, Single Nucleotide
White People
Familial prostate cancer
03 medical and health sciences
Syöpätaudit - Cancers
Heredity
Cancer Genetics
medicine
Genetic predisposition
Humans
Genetic Predisposition to Disease
Statistical Methods
Allele
Computerized Simulations
Alleles
030304 developmental biology
Cancers and Neoplasms
Prostatic Neoplasms
Human Genetics
Epistasis, Genetic
ta3122
medicine.disease
Genitourinary Tract Tumors
Genetic Loci
Genetics of Disease
Computer Science
Genetic Polymorphism
Epistasis
Population Genetics
Mathematics
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....fc32ec27de0c1e266b73d0511b92982e
- Full Text :
- https://doi.org/10.1371/journal.pone.0089508