Genetic Dissection of Complex Traits

Statistical packages

Zhao JH, Ma J, Huang XN, Gong XF (1994). Practical Guides to Statistical Packages (in Chinese).

SAS, Stata and S-PLUS/R

Zhao JH, Tan Q (2006). Genetic dissection of complex traits in Silico: approaches, problems and solution. Current Bioinformatics 1 (2), 359-369.

Papers

Zhao JH, Tan Q (2006). Integrated analysis of genetic data with R. Human Genomics 2(4), 258-265.

Zhao JH (2007). gap: Genetic Analysis Package. Journal of Statistical Software 23(8), 1-18.

Zhao JH, Luan JA, Tan Q, Loos R, Wareham NJ (2007). Analysis of large genomic data in silico: the EPIC-Norfolk study of obesity. In DS Huang, L Heutte, and M Loog (Eds). Advanced Intelligent Computing Theories and Applications with Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing (ICIC), CCIS 2, pp. 781–790, Springer-Verlag Berlin Heidelberg.

Zhao JH, Luan JA, Loos RJF, Wareham N (2011). On genotype-phenotyp association using SAS. Proceedings of the IASTED International Conference July 11 - 13, 2011 Cambridge, United Kingdom, Computational Bioscience (CompBio 2011)

Zhao JH, Luan JA (2012). Mixed modeling with whole genome data. Journal of Probability and Statistics, Volume 2012, 1-16.

Zhao JH, Luan JA, Congdon P (2018). Bayesian linear mixed models with polygenic effects. Journal of Statistical Software 85(6), 1-27.

References

Ahmadi N, Bartholomé J (2022). Genomic Prediction of Complex Traits-Methods and Protocols, Springer, https://link.springer.com/book/10.1007/978-1-0716-2205-6.

Gondro C, van der Werf J, Hayes B (2013). Genome-Wide Association Studies and Genomic Prediction, Springer, https://link.springer.com/book/10.1007/978-1-62703-447-0.

López DAM, López AM, Crossa J (2022). Multivariate Statistical Machine Learning Methods for Genomic Prediction, Springer, https://link.springer.com/content/pdf/10.1007/978-3-030-89010-0.pdf.

Sorensen D, Gianola D (2002). Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics, Springer, https://link.springer.com/book/10.1007/b98952.

Repositories

Zhao JH (2017). vdi.md and SOFTWARE.md. GWAS-2017 (see https://www.physalia-courses.org/courses-workshops/course15/ and GWAS-course for the workshop information), Berlin, https://github.com/jinghuazhao?tab=repositories.

Zhao JH (2019). GitHub repositories: Computational-Statistics, DSA, Mixed-Models, Numerical-Analysis, Omics-analysis, https://github.com/jinghuazhao?tab=repositories.