Associate Professor Jian Yang
Jian Yang is an Associate Professor at Queensland Brain Institute, The University of Queensland. He received his PhD in 2008 from Zhejiang University, China, which was followed by cheap michael kors postdoctoral research at the Queensland Institute of Medical Research. He joined The University of Queensland in 2012. His research interests are in developing novel methods and software tools to better understand the genetic architecture of complex diseases and traits using high throughput genetic and genomic data. In 2012, he won the Centenary Institute Lawrence Creative Prize, which is awarded annually to only one young medical researcher in Australia. He received an NHMRC RD Wright Career Development Fellowship in the same year, and was part of a team shortlisted for the Eureka Prize in Scientific Research. He was one of two recipients of the Sylvia and Charles Viertel Charitable Foundation’s Senior Cheap Michael Kors Medical Research Fellowship in 2013, and was awarded the Australian Academy of Science Ruth Stephens Gani Medal for distinguished research in human genetics in 2015. height and cognitive ability).
Identifying genes underlying complex traits michael kors handbags and diseases
Performing large scale data analyses to identify individual genes underlying the variation of complex traits or risks to diseases.
Integrative analyses of multiple dimensional data
Integrative analyses of data from DNA sequencing or SNP genotyping, gene expression and methylation arrays, and a large number of disease phenotypes to better understand the paths from DNA variation to variation of complex traits or risks to diseases.
Journal Article: Advantages and pitfalls in the application of mixed model association methods
Yang, Jian, Zaitlen, Noah A., Goddard, Michael E., Visscher, Peter M. and Price, Alkes L. (2014) Advantages and pitfalls in the application of mixed model association methods.46 2: 100 106. doi:10.1038/ng.2876
Journal Article: Conditional and joint multiple SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
Yang, Jian, Ferreira, Teresa, Morris, Andrew P., Medland, Sarah E., Madden, Pamela A. F., Heath, Andrew C., Martin, Nicholas G., Montgomery, Grant W., Weedon, Michael N., Loos, Ruth J., Frayling, Timothy M., McCarthy, Mark I., Hirschhorn, Joel N., Goddard, Michael E., Visscher, Peter M., Genetic Invest ANthropometric Trai and DIAbet Genetics Replication Meta A (2012) Conditional and joint multiple SNP cheap Michael Kors handbags analysis of GWAS summary statistics identifies additional variants cheap michael kors influencing complex traits.44 4: 369 375. doi:10.1038/ng.2213
Journal Article: Genome partitioning of genetic variation for complex traits using common SNPs
Yang, Jian, Manolio, Teri A., Pasquale, Louis R., Boerwinkle, Eric, Caporaso, Neil, Cunningham, Michael Kors outlet Julie M., de Andrade, Mariza, Feenstra, Bjarke, Feingold, Eleanor, Hayes, M. Geoffrey, Hill, William G., Landi, Maria Teresa, Alonso, Alvaro, Lettre, Guillaume, Lin, Peng, Ling, Hua, Lowe, William, Mathias, Rasika A., Melbye, Mads, Pugh, Elizabeth, Cornelis, Marilyn C., Weir, Bruce S., Goddard, Michael E. and Visscher, Peter M. (2011) Genome partitioning of genetic variation for complex traits using common SNPs.43 6: cheap michael kors outlet 519 U44. doi:10.1038/ng.823
Journal Article: Common SNPs explain a large proportion of the heritability for human height
Yang, Jian, Benyamin, Beben, McEvoy, Brian cheap Michael Kors handbags P., Gordon, Scott, Henders, Anjali K., Nyholt, Dale R., Madden, Pamela A., Heath, Andrew C., Martin, Nicholas G., Montgomery, Grant W., Michael Kors Goddard, Michael E. and Visscher, Peter M. (2010) Common SNPs explain a large proportion of the heritability for human height.42 7: 565 569. doi:10.1038/ng.608
Sylvia and Charles Viertel Charitable Foundation Senior Medical Research Fellowship: Methods and large scale genomic analyses to study the genetic basis of cheap Michael Kors handbags neuropsychiatric disorders and obesityArticles Connexes：