TY  - BOOK
AU  - Robert C. Elston
AU  - Nathan Morris
AU  - Jill S. Barnholtz-Sloan
AU  - Xiangqing Sun
AB  - Genome-wide association studies (GWAS) for complex disorders with large case-control populations have been performed on hundreds of traits in more than 1200 published studies (http://www.genome.gov/gwastudies/) but the variants detected by GWAS account for little of the heritability of these traits, leading to an increasing interest in using family based designs. While GWAS studies are designed to find common variants with low to moderate attributable risks, family based studies are expected to find rare variants with high attributable risk. Because family-based designs can better control both genetic and environmental background, this study design is robust to heterogeneity and population stratification. Moreover, in family-based analysis, the background genetic variation can be modeled to control the residual variance which could increase the power to identify disease associated rare variants. Analysis of families can also help us gain knowledge about disease transmission and inheritance patterns. Although a family-based design has the advantage of being robust to false positives, novel and powerful methods to analyze families in genetic epidemiology continue to be needed, especially for the interaction between genetic and environmental factors associated with disease. Moreover, with the rapid development of sequencing technology, advances in approaches to the design and analysis of sequencing data in families are also greatly needed. The 11 articles in this book all introduce new methodology and, using family data, substantial new findings are presented in the areas of infectious diseases, diabetes, eye traits, autism spectrum disorder and prostate cancer.
DO  - 10.3389/978-2-88919-932-7
ID  - OAPEN ID: 18319
KW  - Regional heritability
KW  - prostate cancer
KW  - infectious diseases
KW  - MCMC
KW  - combining studies screening
KW  - conditional-logistic linkage
KW  - Informatics
KW  - autism
L1  - http://journal.frontiersin.org/researchtopic/886/novel-approaches-to-the-analysis-of-family-data-in-genetic-epidemiology
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/54864
PB  - Frontiers Media SA
PY  - 2016
SN  - 9782889199327
TI  - Novel Approaches to the Analysis of Family Data in Genetic Epidemiologynull
ER  - 
