ESTIMATION OF NON-ADDITIVE GENETIC VARIANCE FOR COMPLEX TRAITS USING GENOME-WIDE SINGLE NUCLEOTIDE POLYMORPHYISMS AND SEQUENCE DATA
Grant number: DP130102666 | Funding period: 2013 - 2015
Finding genes for traits of importance in agriculture, ecology and human health depends on understanding the genetic basis of these traits. This project will investigate whether variation in traits in humans, cattle and wild sheep are influenced by gene-gene interactions.
Related publications (1)
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Zhihong Zhu, Futao Zhang, Han Hu, Andrew Bakshi, Matthew R Robinson, Joseph E Powell, Grant W Montgomery, Michael E Goddard, Naomi R Wray, Peter M Visscher, Jian Yang
Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with human complex traits. However..