杨剑博士
Jian Yang, Ph.D.
生命科学学院

统计遗传学实验室
联系
邮箱: jian.yang@westlake.edu.cn
网站:





杨剑博士
Jian Yang, Ph.D.
生命科学学院

统计遗传学实验室
联系
邮箱: jian.yang@westlake.edu.cn
网站:



“西湖大学，逐梦科学的地方！”



个人简介


杨剑，西湖大学终身教授，2003年本科毕业于浙江大学生物科学系，2008年于浙江大学取得数量遗传学博士学位，同年赴澳大利亚昆士兰医学研究所从事博士后研究工作。2012年加入澳大利亚昆士兰大学担任研究员，2014年1月被聘为高级研究员和实验室主任。2014年12月晋升为昆士兰大学副教授，2017年晋升为教授。2020年9月加入西湖大学。
2012年，杨剑获得澳大利亚百年学院劳伦斯创新奖。2015年获得澳大利亚科学院Ruth Stephens Gani奖章。2017年获得澳大利亚总理科学奖-Frank Fenner年度生命科学家奖。2018和2019连续两年被列入科睿唯安“被高引科学家”。


学术成果


杨剑教授主要致力于统计遗传学、基因组学研究，以及人类复杂性状和疾病（如：身高、肥胖、精神分裂和癌症）的大数据分析。他和同事提出的一系列统计遗传学分析方法已经成为全基因组关联研究（Genome-Wide Association Study）领域的主流方法；他们在2010和2011年提出的利用全基因组单核苷酸多态数据在自然群体中估计遗传率的方法（即GCTA-GREML方法），找到了解决“遗传率丢失”（missing heritability）问题的理论突破口。截止2020年7月，杨剑总共发表了160多篇学术论文，其中35篇ESI高被引论文；所发表的论文共被引用27,000多次（数据来自Webof Science）。
西湖大学统计遗传学实验室主要致力于研究人类基因组在群体内和群体间的变异，并研究这些变异与健康的关联。目前主要的研究方向包括（但不限于）如下几个方面：
1.基因组变异和健康
2.整合多组学数据研究疾病的遗传机制
3.疾病的遗传风险评估
4.癌症基因组学
5.高性能计算生物学分析方法和工具的开发


代表论文


1.Wu Y, Qi T, Wang H, Zhang F, Zheng Z, Phillips-Cremins JE, Deary IJ, McRae AF, Wray NR, Zeng J,Yang J(2020) Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data.Nature Communications, 11:2061.
2.Jiang L, Zheng Z, Qi T, Kemper KE, Wray NR, Visscher PM,Yang J(2019) A resource-efficient tool for mixed model association analysis of large-scale data.Nature Genetics,51:1749-1755.
3.Wang H, Zhang F, Zeng J, Wu Y, Kemper KE, Xue A, Zhang M, Powell JE, Goddard ME, Wray NR, Visscher PM, McRae AF,Yang J(2019) Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank.Science Advances, Vol. 5, no. 8, eaaw3538.
4.Zhang F, Chen W, Zhu Z, Zhang Q, Nabais MF, Qi T, Deary IJ, Wray NR, Visscher PM, McRae AF,Yang J(2019) OSCA: a tool for omic-data-based complex trait analysis.Genome Biology, 20:107.
5.Zeng J, de Vlaming R, Wu Y, Robinson M, Lloyd-Jones LR, Yengo L, Yap CX, Xue A, Sidorenko J, McRae AF, Powell JE, Montgomery GW, Metspalu A, Esko T, Gibson G, Wray NR, Visscher PM,Yang J(2018) Signatures of negative selection in the genetic architecture of human complex traits.Nature Genetics,50: 746-753.
6.Xue A,Wu Y, Zhu Z, Zhang F, Kemper KE, Zheng Z, Yengo L, Lloyd-Jones LR, Sidorenko J, Wu Y, eQTLGen Consortium, McRae AF, Visscher PM, Zeng J,Yang J(2018) Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes.Nature Communications,9:2941.
7.QiT, WuY, ZengJ, ZhangF, XueA, JiangL, ZhuZ, KemperK, YengoL, ZhengZ, eQTLGen Consortium, MarioniRE, MontgomeryGW, DearyIJ, WrayNR, VisscherPM, McRaeAF,Yang J(2018) Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood.Nature Communications,9: 2282.
8.Guo J, Yang W, Zhu Z, Zheng Z, Trzaskowski M, Zeng J, Robinson MR, Visscher PM,Yang J(2018) Global genetic differentiation of complex traits shaped by natural selection in humans.Nature Communications,9:1865.
9.Wu Y, Zeng J, Zhang F, Zhu F, Qi T, Zheng Z, Lloyd-Jones LR, Marioni RE,Martin NG, Montgomery GW, Deary IJ, Wray NR, Visscher PM, McRae AF,Yang J(2018) Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits.Nature Communications, 9: 918.
10.Zhu Z, Zheng Z, Zhang F, Wu Y, Trzaskowski M, Maier R, Robinson MR, McGrath JJ, Visscher PM, Wray NR,Yang J(2018) Causal associations between risk factors and common diseases inferred from GWAS summary data.Nature Communications, 9: 224.
11.Wu Y, Zheng Z, Visscher PM,Yang J(2017) Quantifying the mapping precision of genome-wide association studies using whole-genome sequencing data.Genome Biology, 18: 86.
12.Zhu Z, Zhang F, Hu H, Bakshi A, Robinson MR, Powell JE, Montgomery GW, Goddard ME, Wray NR, Visscher PM,Yang J(2016) Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets.Nature Genetics, 48: 481-487.
13.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, M?gi 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.
14.Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AAE, …, 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.Nature Genetics, 47: 1114-1120.
15.Yang J, Zaitlen NA, Goddard ME, Visscher PM, Price AL (2014) Advantages and pitfalls in the application of mixed model association methods.Nature Genetics, 46: 100–106.
16.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.
17.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.Nature Genetics, 44: 369-375.
18.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.Nature Genetics, 43: 519-525.
19.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.
20.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.Nature Genetics, 42: 565-569.


联系方式


电子邮箱：jian.yang@westlake.edu.cn
实验室网站：yanglab.net
Postdoc and PhD positions available.