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Rare-variant association testing for sequencing data with the sequence kernel association test.
Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies.
Powerful SNP-set analysis for case-control genome-wide association studies.
Optimal tests for rare variant effects in sequencing association studies.
This paper proposes a class of tests that include burden tests and SKAT as special cases, and derives an optimal test within this class that maximizes power, and shows that this optimal test outperforms burden testsand SKAT in a wide range of scenarios.
LKB1 modulates lung cancer differentiation and metastasis
LKB1 is established as a critical barrier to pulmonary tumorigenesis, controlling initiation, differentiation and metastasis in lung cancer, and expression profiling in human lung cancer cell lines and mouse lung tumours identified a variety of metastasis-promoting genes as targets of LKB1 repression.
Sequence kernel association tests for the combined effect of rare and common variants.
Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models
It is shown that the LSKM semiparametric regression can be formulated using a linear mixed model, and both the regression coefficients of the covariate effects and the L SKM estimator of the genetic pathway effect can be obtained using the best linear unbiased predictor in the correspondinglinear mixed model formulation.
Variance component testing in generalised linear models with random effects
- Xihong Lin
- 1 June 1997
SUMMARY There is considerable interest in testing for overdispersion, correlation and heterogeneity across groups in biomedical studies. In this paper, we cast the problem in the framework of…
Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China.
A series of multifaceted public health interventions was temporally associated with improved control of the COVID-19 outbreak in Wuhan, China, and may inform public health policy in other countries and regions.
Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
We consider estimation in a semiparametric generalized linear model for clustered data using estimating equations. Our results apply to the case where the number of observations per cluster is…