Qiuying Sha

$Qiuying Sha$

Contact

qsha@mtu.edu
906-487-2146
Fisher 307

Distinguished Professor, Mathematical Sciences

PhD, Statistics, Michigan Technological University
MS, Mathematics, Heilongjiang University, China
BS, Mathematics, Heilongjiang University, China

Biography

Qiuying Sha obtained her BS and MS in Mathematics from Heilongjiang University in 1985 and 1988, respectively. In 1988, she accepted a faculty position in the Department of Mathematics at Heilongjiang University and had been working there for 11 years. Sha obtained her PhD in Statistics from Michigan Technological University in 2005. In the same year, she jointed the faculty of the Department of Mathematical Sciences at Michigan Tech. Sha’s research interests include developing statistical methods and computational tools for the analysis and interpretation of genomic data; various methods for genetic linkage and association studies to identify genetic variants underlying complex traits; analysis of genome-wide association data and sequence data under both family-based and population-based designs; microarray data analysis.

Areas of Expertise

Statistical Genetics
Applied Statistics

Representative Publications

Qin H, Feng T, Zhang S, Sha Q (2010) A data-driven weighting scheme for family-based genome-wide association studies. Eur J Hum Genet, 18:596-603.
Sha Q, Zhang S (2011) A test of Hardy Weinberg equilibrium in structured populations. Genetic Epidemiol 35:671-678
Niu A, Zhang S, Sha Q* (2011) A novel method to detect gene-gene interactions in structured populations: MDR-SP. Ann Hum Genet 75:742-754
Sha Q, Wang S, Zhang S (2012) Adaptive clustering and adaptive weighting methods to detect disease associated rare variants. Eur J Hum Genet doi:10.1038
Sha Q, Wang X, Wang X, Zhang S (2012) Detecting association of both rare and common variants by testing an optimally weighted combination of variants. Genetic Epidemiol 36:561-571
Fang S, Zhang S, Sha Q* (2013) Detecting association of rare variants by testing an optimally weighted combination of variants for quantitative traits in general families. Ann Hum Genet, 77(6): 524-534
Sha Q, Zhang S (2014) A rare variant association test based on combinations of single-variant tests. Genetic Epidemiol, 38: 494-501
Sha Q, Zhang S (2015) Test of rare variant association based on affected sib-pairs. Eur J Hum Genet, 23: 229-237
Wang Z, Wang X, Sha Q, Zhang S (2016) Joint analysis of multiple traits in rare variant association studies. Ann Hum Genet, 80: 162-171.