Association Analysis Of Rare And Common Variants Based On The Data Of Sick Siblings

Current genome-wide association analysis has identified a great number of rare and common variants associated with common complex traits,however,more effective approaches for detecting associations between rare and common variants with common diseases are still demanded.Approaches for detecting rare variant association analysis will compromise the power when detecting the effects of rare and common variants simultaneously.In this paper,we extend an existing method of testing for rare variants association based on affected sib-pairs(TOW-sib)and propose a variable weight test for rare and common variants association based on affected sib pairs(abbreviated as VW-TOWsib).The VW-TOWsib with the purpose of detecting the association of rare and common variants with complex diseases.Simulation results in various scenarios show that our proposed method is more powerful than existing methods for detecting effects of rare and common variants.At the same time,the VW-TOWsib also performs well as a method for rare variant association analysis.