Jian Yang is a Professor of Statistical Genomics at Institute for Molecular Bioscience and Queensland Brain Institute, The University of Queensland. He received his PhD in 2008 from Zhejiang University, China, which was followed by 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 a 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 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. He was part of a team awarded a prestigious NHMRC Program Grant in 2016.
- Developing novel statistical methods to dissect the genetic architecture of human complex diseases (e.g. obesity and neuropsychiatric diseases) and traits (e.g. height and cognitive ability).
- Performing big-data analyses to identify individual genes underlying the trait variation or the risk to diseases.
- Integration 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 biological pathways from DNA variation to phenotypic variation.
- Developing user-friendly bioinformatics software tools.
- GIANT: Genetic Investigation of ANthropometric Traits
- GENEVA: Gene Environment Association Studies
- SSGAC: Social Science Genetic Association Consortium
- Professor Mike Goddard (University of Melbourne)
- Zhu Z, Zhang F, Hu H, Bakshi A, Robinson MR, Powell JE, Montgomery GW, Goddard ME, Wray NR, Visscher PM & Yang J (2016) Analysis of summary data from GWAS and eQTL studies to predict complex trait gene targets. Nat Genet, doi:10.1038/ng.3538.
- Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AAE, Lee SH, Robinson MR, Perry JRB, Nolte IM, van Vliet-Ostaptchouk, JV, Snieder H, The LifeLines Cohort Study, Esko T, Milani L, Mägi R, Metspalu A, Hamsten A, Magnusson, PKE, Pedersen NL, Ingelsson E, Soranzo N, Keller MC, Wray NR, Goddard ME & Visscher PM (2015) Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nat Genet, 47: 1114–1120.
- Zhu, ZH, Bakshi A, Vinkhuyzen AAE, Hemani G, Lee SH, Nolte IM, van Vliet-Ostaptchouk JV, Snieder H, The LifeLines Cohort Study, Esko T, Milani L, Mägi R, Metspalu A, Hill WG, Weir BS, Goddard ME, Visscher PM & Yang J (2015) Dominance genetic variation contributes little to the missing heritability for human complex traits. Am J Hum Genet, 96: 377-385.
- Yang J, Zaitlen NA, Goddard ME, Visscher PM & Price AL (2014) Advantages and pitfalls in the application of mixed model association methods. Nat Genet, 46: 100–106.
- Yang J, Loos RJF, Powell JE, Medland SE, et al. (2012) FTO genotype is associated with phenotypic variability of body mass index. Nature, 490: 267-272.
- Yang J, Ferreira T, Morris AP, Medland SE, GIANT Consortium, DIAGRAM Consortium, Madden PAF, Heath AC, Martin NG, Montgomery GW, Weedon MN , Loos RJ , Frayling TM, McCarthy MI, Hirschhorn JN, Goddard ME & Visscher PM (2012) Conditional and joint multiple SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nat Genet, 44: 369-375.
- Yang J, Manolio TA, Pasquale LR, Boerwinkle E, Caporaso N, Cunningham JM, de Andrade M, Feenstra B, Feingold E, Hayes MG, Hill WG, Landi MT, Alonso A, Lettre G, Lin P, Ling H, Lowe W, Mathias RA, Melbye M, Pugh E, Cornelis MC, Weir BS, Goddard ME & Visscher PM (2011) Genome partitioning of genetic variation for complex traits using common SNPs. Nat Genet, 43: 519-525.
- Yang J, Lee SH, Goddard ME & Visscher PM (2011) GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet, 88: 76-82.
- Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR, Madden PA, Heath AC, Martin NG, Montgomery GW, Goddard ME & Visscher PM (2010) Common SNPs explain a large proportion of the heritability for human height. Nat Genet, 42: 565-569.