Power and type I error results for a bias-correction approach recently shown to provide accurate odds ratios of genetic variants for the secondary phenotypes associated with primary diseases

Genetic Epidemiology

Volumn 35, Issue 7, 2011, Pages 739-743

  Wang, Jian ^a   Shete, Sanjay ^a  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

Bias; Frequency matched study; Genome wide association study; Odds ratio; Power; Secondary phenotype; SNP; Type I error

Indexed keywords

ARTICLE; CASE CONTROL STUDY; CONTROLLED STUDY; ERROR; GENETIC VARIABILITY; LOGISTIC REGRESSION ANALYSIS; NORMAL DISTRIBUTION; NULL HYPOTHESIS; PHENOTYPE; RISK; SIMULATION; SYSTEMATIC ERROR;

BIAS (EPIDEMIOLOGY); CASE-CONTROL STUDIES; GENETIC PREDISPOSITION TO DISEASE; HUMANS; LOGISTIC MODELS; MODELS, GENETIC; MODELS, STATISTICAL; ODDS RATIO; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; PROBABILITY;

EID: 80054745702     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20611     Document Type: Article

References (5)

1. Altshuler D, Daly MJ, Lander ES. 2008. Genetic mapping in human disease. Science 322:881-888.
2. Kraft P. 2007. Analyses of genome-wide association scans for additional outcomes. Epidemiology 18:838.
3. Monsees GM, Tamimi RM, Kraft P. 2009. Genome-wide association scans for secondary traits using case-control samples. Genet Epidemiol 33:717-728.
4. Rothman KJ, Greenland S. 1998. Modern Epidemiology. Philadelphia, PA: Lippincott Williams & Wilkins.
5. Wang J, Shete S. 2011. Estimation of odds ratios of genetic variants for the secondary phenotypes associated with primary diseases. Genet Epidemiol 35:190-200.