Family-based designs for genome-wide association studies

2011 ◽  
Vol 12 (7) ◽  
pp. 465-474 ◽  
Author(s):  
Jurg Ott ◽  
Yoichiro Kamatani ◽  
Mark Lathrop
Keyword(s):  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Family Based

scholarly journals Statistical challenges for genome-wide association studies of suicidality using family data

2010 ◽  
Vol 25 (5) ◽  
pp. 307-309 ◽  
Author(s):  
J. Lasky-Su ◽  
C. Lange
Keyword(s):  
Association Studies ◽  
Statistical Tests ◽  
Genetic Association Studies ◽  
Genetic Effect ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genetic Etiology ◽  
Genome Wide ◽  
Family Based ◽  
Study Designs

AbstractThe etiology of suicide is complex in nature with both environmental and genetic causes that are extremely diverse. This extensive heterogeneity weakens the relationship between genotype and phenotype and as a result, we face many challenges when studying the genetic etiology of suicide. We are now in the midst of a genetics revolution, where genotyping costs are decreasing and genotyping speed is increasing at a fast rate, allowing genetic association studies to genotype thousands to millions of SNPs that cover the entire human genome. As such, genome-wide association studies (GWAS) are now the norm. In this article we address several statistical challenges that occur when studying the genetic etiology of suicidality in the age of the genetics revolution. These challenges include: (1) the large number of statistical tests; (2) complex phenotypes that are difficult to quantify; and (3) modest genetic effect sizes. We address these statistical issues in the context of family-based study designs. Specifically, we discuss several statistical extensions of family-based association tests (FBATs) that work to alleviate these challenges. As our intention is to describe how statistical methodology may work to identify disease variants for suicidality, we avoid the mathematical details of the methodologies presented.

Family-based genome-wide association studies

2009 ◽  
Vol 10 (2) ◽  
pp. 181-190 ◽  
Author(s):  
Beben Benyamin ◽  
Peter M Visscher ◽  
Allan F McRae
Keyword(s):  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Family Based

scholarly journals Using Family-Based Imputation in Genome-Wide Association Studies with Large Complex Pedigrees: The Framingham Heart Study

PLoS ONE ◽  
2012 ◽  
Vol 7 (12) ◽  
pp. e51589 ◽  
Author(s):  
Ming-Huei Chen ◽  
Jie Huang ◽  
Wei-Min Chen ◽  
Martin G. Larson ◽  
Caroline S. Fox ◽  
...  
Keyword(s):  
Framingham Heart Study ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Large Complex ◽  
Genome Wide ◽  
Heart Study ◽  
Family Based

scholarly journals Heritability and Genome-Wide Association Studies for Hair Color in a Dutch Twin Family Based Sample

Genes ◽  
2015 ◽  
Vol 6 (3) ◽  
pp. 559-576 ◽  
Author(s):  
Bochao Lin ◽  
Hamdi Mbarek ◽  
Gonneke Willemsen ◽  
Conor Dolan ◽  
Iryna Fedko ◽  
...  
Keyword(s):  
Association Studies ◽  
Genome Wide Association ◽  
Hair Color ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Family Based
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