𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Detection of Gene-Environment Interactions in Joint Segregation and Linkage Analysis

✍ Scribed by W. James Gauderman; Cheryl L. Faucett


Book ID
117852202
Publisher
American Society of Human Genetics
Year
1997
Tongue
English
Weight
185 KB
Volume
61
Category
Article
ISSN
0002-9297

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Linkage analysis with gene-environment i
✍ Silke Schmidt; Michael A. Schmidt; Xuejun Qin; Eden R. Martin; Elizabeth R. Haus πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 347 KB πŸ‘ 1 views

## Abstract The ordered subset analysis (OSA) method allows for the incorporation of covariates into the linkage analysis of a dichotomous disease phenotype in order to reduce genetic heterogeneity. Complex human diseases may involve gene‐environment (G Γ— E) interactions, which represent a special

Joint segregation and linkage analysis o
✍ W. James Gauderman; Cheryl L. Faucett; John L. Morrison; Catherine L. Carpenter πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 36 KB πŸ‘ 2 views

Our goal was to determine the degree to which joint segregation and linkage analysis leads to increased efficiency for estimating the recombination fraction and to greater power for detecting linkage, compared to separate analyses. We concentrated on the quantitative phenotype Q2 and analyzed linkag

Meta-analysis of gene-environment intera
✍ Alisa K. Manning; Michael LaValley; Ching-Ti Liu; Kenneth Rice; Ping An; Yongmei πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 239 KB πŸ‘ 1 views

Introduction: Genetic discoveries are validated through the meta-analysis of genome-wide association scans in large international consortia. Because environmental variables may interact with genetic factors, investigation of differing genetic effects for distinct levels of an environmental exposure