楊劍(西湖大學生命科學學院正教授)

楊劍(西湖大學生命科學學院正教授)

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楊劍，西湖大學統計遺傳學實驗室負責人，生命科學學院教授。

基本介紹

  • 中文名：楊劍
  • 國籍：中國
  • 畢業院校：浙江大學
  • 職業：教育科研工作者
人物經歷,研究方向,主要成就,獲獎記錄,代表論文,

人物經歷

2003年本科畢業於浙江大學生物科學系。
2008年於浙江大轎危學取得數量遺傳學博士學位，同年赴澳大利亞昆士蘭醫鍵捆紙學研究所從事博士後研究工作。
2012年加入澳大利亞昆士蘭大學擔任研究員。
2014年1月被聘為高級研究員和實驗室主任。2014年12月晉升為昆士蘭大學副歸應嚷承教授。
2017年晉升為教授。
2020年9月加入西湖大學。

研究方向

楊劍課題組主要致力於研究人類基因組在群體內和群體間的變異，並研究這些變異與健康的關聯。目前主要的研究方向包括（但不限於）如下幾個方面：
1. 基因組變異和健康
2. 整合多組學數據研究疾病的遺傳機制
3. 疾病的遺傳風險評估
4. 癌症基因組學
5. 高性能計算生物學分析方法和工具的開發

主要成就

楊劍教授主要致力於統計遺傳學、基因組學研究，以及人類複雜性狀和疾病（如：身高、肥胖、精神分裂和癌症）的大數據分析。他和同茅乘盼敬事提出的一系列統計遺傳學分析方法已經成為臭整擔全基因組關聯研究（Genome-Wide Association Study）領域的主流方法；他們在跨尋敬2010和2011年提出的利用全基因組單核苷酸多態數據在自然群體中估計遺傳率的方法（即GCTA-GREML方法），找到了解決“遺傳率丟失”（missing heritability）問題的理論只騙愉突破口。

獲獎記錄

2012年，楊劍獲得澳大利亞百年學院勞倫斯創新獎。
2015年獲得澳大利亞科學院Ruth Stephens Gani獎章。
2017年獲得澳大利亞總理科學獎-Frank Fenner年度生命科學家獎。
2018和2019連續兩年被列入科睿唯安“被高引科學家”。

代表論文

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. Qi T, Wu Y, Zeng J, Zhang F, Xue A, Jiang L, Zhu Z, Kemper K, Yengo L, Zheng Z, eQTLGen Consortium, Marioni RE, Montgomery GW, Deary IJ, Wray NR, Visscher PM, McRae AF, 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, 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.
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.
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. Qi T, Wu Y, Zeng J, Zhang F, Xue A, Jiang L, Zhu Z, Kemper K, Yengo L, Zheng Z, eQTLGen Consortium, Marioni RE, Montgomery GW, Deary IJ, Wray NR, Visscher PM, McRae AF, 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, 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.
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.

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