Boshao Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Boshao Zhang has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Guimin Gao
Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, 23298-0032, U.S.A
2 shared publications - Degui Zhi
McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, USA
1 shared publication - Kui Zhang
Department of Mathematical Sciences Michigan Technological University Houghton MI USA
1 shared publication - Nengjun Yi
Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
1 shared publication - Nianjun Liu
Department of Epidemiology and Biostatistics , Indiana University School of Public Health-Bloomington, 1025 E. 7th Street, Bloomington, IN 47405
1 shared publication - Nianjun Liu
Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, AL 35294, USA
1 shared publication
Latest Publications
- Open Access
- 29 November 2011
- Published by Springer Nature in BMC Proceedings
- Vol. 5 (S9) , S118
Evaluation of pooled association tests for rare variant identification
Genome-wide association studies have successfully identified many common variants associated with complex human diseases. However, a large portion of the remaining heritability cannot be explained by these common variants. Exploring rare variants associated with diseases is now catching more attention. Several methods have been recently proposed for identification of rare variants. Among them, the fixed-threshold, weighted-sum, and variable-threshold methods are effective in combining the information of multiple variants into a functional unit; these approaches are commonly used. We evaluate the performance of these three methods. Based on our analyses of the Genetic Analysis Workshop 17 data, we find that no method is universally better than the others. Furthermore, adjusting for potential covariates can not only increase the true-positive proportions but also reduce the false-positive proportions. Our study concludes that there is no uniformly most powerful test among the three methods we compared (the fixed-threshold, weighted-sum, and variable-threshold methods), and their performances depend on the underlying genetic architecture of a disease.
- 29 November 2011
- Published by Springer Nature in BMC Proceedings
- Vol. 5 (S9) , S118
Open AccessEvaluation of pooled association tests for rare variant identification
Genome-wide association studies have successfully identified many common variants associated with complex human diseases. However, a large portion of the remaining heritability cannot be explained by these common variants. Exploring rare variants associated with diseases is now catching more attention. Several methods have been recently proposed for identification of rare variants. Among them, the fixed-threshold, weighted-sum, and variable-threshold methods are effective in combining the information of multiple variants into a functional unit; these approaches are commonly used. We evaluate the performance of these three methods. Based on our analyses of the Genetic Analysis Workshop 17 data, we find that no method is universally better than the others. Furthermore, adjusting for potential covariates can not only increase the true-positive proportions but also reduce the false-positive proportions. Our study concludes that there is no uniformly most powerful test among the three methods we compared (the fixed-threshold, weighted-sum, and variable-threshold methods), and their performances depend on the underlying genetic architecture of a disease.
- Open Access
- 1 January 2011
- Published by International Press of Boston in Statistics and Its Interface
- Vol. 4 (3) , 339-351
Practical consideration of genotype imputation: Sample size, window size, reference choice, and untyped rate
International Press of Boston - publishers of scholarly mathematical and scientific journals and books
- 1 January 2011
- Published by International Press of Boston in Statistics and Its Interface
- Vol. 4 (3) , 339-351
Open AccessPractical consideration of genotype imputation: Sample size, window size, reference choice, and untyped rate
International Press of Boston - publishers of scholarly mathematical and scientific journals and books