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Shuang's research focuses on the development of statistical methods and tools for the identification and study of genetic variants influencing human disease. Under the lead of professor Gonçalo Abecasis, software that have been developed and released to public are:
Shuang's research focuses on the development of statistical methods and tools for the identification and study of genetic variants influencing human disease. Under the lead of professor Gonçalo Abecasis, software that have been developed and released to public are:
*[[Rarefy|'''rarefy''']] is a C++ tool to facilitate sequencing study design using family samples by selecting informative families and individuals from a sample. It takes account pedigree structure and calculates an informative score for each individual to evaluate the potential of carrying trait-influencing rare variants. Rarefy has been used for selecting individuals in Minnesota Twins substance abuse whole-genome sequencing project and SardiNia deep sequencing project.
*[[Rarefy|'''RAREFY''']] is a C++ tool to facilitate sequencing study design using family samples by selecting informative families and individuals from a sample. It takes account pedigree structure and calculates an informative score for each individual to evaluate the potential of carrying trait-influencing rare variants. Rarefy has been used for selecting individuals in Minnesota Twins substance abuse whole-genome sequencing project and SardiNia deep sequencing project.
*[[Famrvtest|'''famrvtest''']] is an efficient C++ tool for rare variant association analysis using a linear-mixed model approach. It handles population structure, familial relatedness and study-specific covariates. The tool supports both single variant and gene-level associations with various methods implemented. It has been used in eQTL and quantitative traits association analyses in T2Dgenes project.
*[[Famrvtest|'''famrvtest''']] is an efficient C++ tool for rare variant association analysis using a linear-mixed model approach. It handles population structure, familial relatedness and study-specific covariates. The tool supports both single variant and gene-level associations with various methods implemented. It has been used in eQTL and quantitative traits association analyses in T2Dgenes project.
