scholarly journals Convex combination sequence kernel association test for rare‐variant studies

2020 ◽  
Vol 44 (4) ◽  
pp. 352-367 ◽  
Author(s):  
Daniel C. Posner ◽  
Honghuang Lin ◽  
James B. Meigs ◽  
Eric D. Kolaczyk ◽  
Josée Dupuis
Keyword(s):  
Rare Variant ◽  
Convex Combination ◽  
Association Test ◽  
Sequence Kernel Association Test

scholarly journals Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT)

2015 ◽  
Vol 8 (4) ◽  
pp. 495-505 ◽  
Author(s):  
Eugene Urrutia ◽  
Seunggeun Lee ◽  
Arnab Maity ◽  
Ni Zhao ◽  
Judong Shen ◽  
...  
Keyword(s):  
Rare Variant ◽  
Association Test ◽  
Sequence Kernel Association Test

scholarly journals Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test

2011 ◽  
Vol 89 (1) ◽  
pp. 82-93 ◽  
Author(s):  
Michael C. Wu ◽  
Seunggeun Lee ◽  
Tianxi Cai ◽  
Yun Li ◽  
Michael Boehnke ◽  
...  
Keyword(s):  
Rare Variant ◽  
Association Test ◽  
Sequence Kernel Association Test ◽  
Sequencing Data ◽  
Rare Variant Association ◽  
Association Testing

scholarly journals Family-based gene-environment interaction using sequence kernel association test (FGE-SKAT) for complex quantitative traits

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chao-Yu Guo ◽  
Reng-Hong Wang ◽  
Hsin-Chou Yang
Keyword(s):  
Complex Traits ◽  
Association Studies ◽  
Association Test ◽  
Whole Genome Sequence ◽  
Environment Interaction ◽  
Genome Wide Association Studies ◽  
Whole Genome ◽  
Sequence Kernel Association Test ◽  
Gene Environment ◽  
Family Based

AbstractAfter the genome-wide association studies (GWAS) era, whole-genome sequencing is highly engaged in identifying the association of complex traits with rare variations. A score-based variance-component test has been proposed to identify common and rare genetic variants associated with complex traits while quickly adjusting for covariates. Such kernel score statistic allows for familial dependencies and adjusts for random confounding effects. However, the etiology of complex traits may involve the effects of genetic and environmental factors and the complex interactions between genes and the environment. Therefore, in this research, a novel method is proposed to detect gene and gene-environment interactions in a complex family-based association study with various correlated structures. We also developed an R function for the Fast Gene-Environment Sequence Kernel Association Test (FGE-SKAT), which is freely available as supplementary material for easy GWAS implementation to unveil such family-based joint effects. Simulation studies confirmed the validity of the new strategy and the superior statistical power. The FGE-SKAT was applied to the whole genome sequence data provided by Genetic Analysis Workshop 18 (GAW18) and discovered concordant and discordant regions compared to the methods without considering gene by environment interactions.

scholarly journals The impact of a fine-scale population stratification on rare variant association test results

PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0207677 ◽  
Author(s):  
Elodie Persyn ◽  
Richard Redon ◽  
Lise Bellanger ◽  
Christian Dina
Keyword(s):  
Rare Variant ◽  
Population Stratification ◽  
Association Test ◽  
Fine Scale ◽  
Test Results ◽  
Rare Variant Association ◽  
Scale Population ◽  
Rare Variant Association Test ◽  
The Impact

scholarly journals Rare variant association test with multiple phenotypes

2016 ◽  
Vol 41 (3) ◽  
pp. 198-209 ◽  
Author(s):  
Selyeong Lee ◽  
Sungho Won ◽  
Young Jin Kim ◽  
Yongkang Kim ◽  
Bong-Jo Kim ◽  
...  
Keyword(s):  
Rare Variant ◽  
Association Test ◽  
Rare Variant Association ◽  
Multiple Phenotypes ◽  
Rare Variant Association Test

scholarly journals Rare variant association test in family-based sequencing studies

2016 ◽  
pp. bbw083 ◽  
Author(s):  
Xuefeng Wang ◽  
Zhenyu Zhang ◽  
Nathan Morris ◽  
Tianxi Cai ◽  
Seunggeun Lee ◽  
...  
Keyword(s):  
Rare Variant ◽  
Association Test ◽  
Rare Variant Association ◽  
Sequencing Studies ◽  
Family Based ◽  
Rare Variant Association Test
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