研究成果

代表性文章

2022

27. Yao S#, Zhang M#, Dong SS#, Wang JH, Zhang K, Guo J, Guo Y*, Yang TL*. Bidirectional two-sample Mendelian Randomization analysis identifies causal associations between relative carbohydrate intake and depression. Nature Human Behaviour. 2022. [IF: 24.25]

26. Hao RH#, Guo Y#, Wang C#, Chen F, Di CX, Dong SS, Cao QL, Guo J, Rong Y, Yao S, Zhu DL, Chen YX, Chen H, Yang TL*. Lineage-specific rearrangement of chromatin loops and epigenomic features during adipocytes and osteoblasts commitment. Cell Death and Differentiation. 2022. [IF: 12.07]

25. Hu WX#, Rong Y#, Guo Y, Jiang F, Tian W, Chen H, Dong SS*, Yang TL*. ExsgRNA: reduce off-target efficiency by on-target mismatched sgRNA. Briefings in Bioinformatics. 2022 May 18:bbac183. [IF: 13.99]

24. Ke X, Wu H, Chen YX, Guo Y, Yao S, Guo MR, Duan YY, Wang NN, Shi W, Wang C, Dong SS, Kang H, Dai Z, Yang TL*. Individualized pathway activity algorithm identifies oncogenic pathways in pan-cancer analysis. EBioMedicine. 2022 Apr 26;79:104014. [IF: 11.21]

23. Liu, CC, Dong, SS, Chen, JB, Wang C, Ning P, Guo Y*, Yang TL*. MetaDecoder: a novel method for clustering metagenomic contigs. Microbiome. 2022; 10:46. [IF16.84]

 

2021

22. Zhang K#, Dong SS#, Guo Y, Tang SH, Wu H, Yao S, Wang PF, Zhang K, Xue HZ, Huang W, Ding J*, Yang TL*. Causal Associations Between Blood Lipids and COVID-19 Risk: A Two-Sample Mendelian Randomization Study. Arteriosclerosis Thrombosis and Vascular Biology, 2021 Nov;41(11):2802-2810. [IF10.51]

21. Dong SS#, He WM#, Ji JJ, Zhang C, Guo Y*, Yang TL*. LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files. Briefings in Bioinformatics2021 Jul 20;22(4):bbaa227.[ESI高被引论文][IF13.99]

20. Dong SS#, Zhang K#, Guo Y, Ding JM, Rong Y, Feng JC, Yao S, Hao RH, Jiang F, Chen JB, Wu H, Chen XF, Yang TL*. Phenome-wide investigation of the causal associations between childhood BMI and adult trait outcomes: a two-sample Mendelian randomization study. Genome Medicine. 2021 Mar 26;13(1):48. [IF15.27]

19. Wang CC, Yeh HY, Popov AN, Zhang HQ, Matsumura H, Sirak K, Cheronet O, Kovalev A, Rohland N, Kim AM, Mallick S, Bernardos R, Tumen D, Zhao J, Liu YC, Liu JY, Mah M, Wang K, Zhang Z, Adamski N, Broomandkhoshbacht N, Callan K, Candilio F, Carlson KSD, Culleton BJ, Eccles L, Freilich S, Keating D, Lawson AM, Mandl K, Michel M, Oppenheimer J, Özdoğan KT, Stewardson K, Wen S, Yan S, Zalzala F, Chuang R, Huang CJ, Looh H, Shiung CC, Nikitin YG, Tabarev AV, Tishkin AA, Lin S, Sun ZY, Wu XM, Yang TL, Hu X, Chen L, Du H, Bayarsaikhan J, Mijiddorj E, Erdenebaatar D, Iderkhangai TO, Myagmar E, Kanzawa-Kiriyama H, Nishino M, Shinoda KI, Shubina OA, Guo J, Cai W, Deng Q, Kang L, Li D, Li D, Lin R, Nini, Shrestha R, Wang LX, Wei L, Xie G, Yao H, Zhang M, He G, Yang X, Hu R, Robbeets M, Schiffels S, Kennett DJ, Jin L, Li H, Krause J, Pinhasi R, Reich D. Genomic insights into the formation of human populations in East Asia. Nature. 2021 Mar;591(7850):413-419. [ESI高被引论文][IF69.50]

 

2020

18. Yang TL, Shen H, Liu A, Dong SS, Zhang L, Deng FY, Zhao Q, Deng HW*. A road map for understanding molecular and genetic determinants of osteoporosis. Nature Reviews Endocrinology. 2020 Feb;16(2):91-103. [ESI高被引论文]. [IF43.33]

17. Wang Y, Yang JQ, Hong TT, Sun YH, Huang HL, Chen F, Chen XJ, Chen HY, Dong SS, Cui LL*Yang TL*. RTN4B-mediated suppression of Sirtuin 2 activity ameliorates β-amyloid pathology and cognitive impairment in Alzheimer's disease mouse model. Aging Cell. 2020 Jul 23;19(8):e13194. [IF9.3]

16. Thynn HN#, Chen XF#, Hu WX, Duan YY, Zhu DL, Chen H, Wang NN, Chen HH, Rong Y, Lu BJ, Yang M, Jiang F, Dong SS, Guo Y, Yang TL*. An Allele-Specific Functional SNP Associated with Two Systemic Autoimmune Diseases Modulates IRF5 Expression by Long-Range Chromatin Loop Formation. Journal of Investigative Dermatology. 2020 Feb;140(2):348-360. [IF8.55]

15. Chen XF, Guo MR, Duan YY, Jiang F, Wu H, Dong SS, Zhou XR, Thynn HN, Liu CC, Zhang L, Guo Y*Yang TL*. Multiomics dissection of molecular regulatory mechanisms underlying autoimmune-associated noncoding SNPs. JCI Insight. 2020 Sep 3;5(17):136477.[IF8.32]

14. Chen JB#, Dong SS#, Yao S, Duan YY, Hu WX, Chen H, Wang NN, Chen XF, Hao RH, Thynn HN, Guo MR, Zhang YJ, Rong Y, Chen YX, Zhou FL, Guo Y*, Yang TL*. Modeling circRNA expression pattern with integrated sequence and epigenetic features demonstrates the potential involvement of H3K79me2 in circRNA expression. Bioinformatics. 2020 Sep 15;36(18):4739-4748. [IF6.94]

13. Li M, Yao S, Duan YY, Zhang YJ, Guo Y, Niu HM, Dong SS, Qiu YS*, Yang TL*. Transcription Factor Enrichment Analysis in Enhancers Identifies EZH2 as A Susceptibility Gene for Osteoporosis. Journal of Clinical Endocrinology & Metabolism.  2020 Apr 1;105(4):dgz270. [IF5.96]

 

2019年前

12. Zhang C#, Dong SS#, Xu JY, He WM*, Yang TL*. PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files. Bioinformatics. 2019, 35(10):1786-1788. [ESI高被引论文和ESI热点论文]. [IF6.94]

11. Dong SS#, Guo Y#, Yao S, Chen YX, He MN, Zhang YJ, Chen XF, Chen JB, Yang TL*. Integrating regulatory features data for prediction of functional disease-associated SNPs. Briefings in Bioinformatics, 2019 Jan 18;20(1):26-32. [IF11.62]

10. Chen XF#, Zhu DL#, Yang M, Hu WX, Duan YY, Lu BJ, Rong Yu, Dong SS, Hao RH, Chen JB, Chen YX, Yao S, Hlaing Nwe Thynn, Guo Y*, Yang TL*. An Osteoporosis Risk SNP at 1p36.12 Acts as an Allele-Specific Enhancer to Modulate LINC00339 Expression via Long-Range Loop Formation. American Journal of Human Genetics. 2018 May 3; 102(5):776-793. [IF11.03]

9. Zhu DL#, Chen XF#, Hu WX, Dong SS, Lu BJ, Rong Yu, Chen YX, Hlaing Nwe Thynn, Wang NN, Guo Y*, Yang TL*. Multiple functional variants at 13q14 risk locus for osteoporosis regulate RANKL expression through long-range super-enhancer. Journal of Bone and Mineral Research. 2018 Jul;33(7):1335-1346. [IF6.74]

8. Dong SS, Zhang YJ, Chen YX, Yao S, Hao RH, Rong Y, Niu HM, Chen JB, Guo Y*, Yang TL*. Comprehensive review and annotation of susceptibility SNPs associated with obesity related traits. Obesity Reviews. 2018 Jul;19(7):917-930. [IF9.21]

7. Dong SS, Guo Y, Zhu DL, Chen XF, Wu XM, Shen H, Chen XD, Tan LJ, Tian Q, Deng HW, Yang TL*. Epigenomic elements analyses for promoters identify ESRRG as a new susceptibility gene for obesity-related traits. International Journal of Obesity. 2016 Jul;40(7):1170-6. [IF5.1]

6. Yang TL, Guo Y, Zhang JG, Xu C, Tian Q, Deng HW. Genome-wide Survey of Runs of Homozygosity Identifies Recessive Loci for Bone Mineral Density in Caucasian and Chinese Populations. Journal of Bone and Mineral Research, 2015 Nov;30(11):2119-26. [IF6.74]

5. Yang TL, Guo Y, Li J, Zhang L, Shen H, Li SM, Li SK, Tian Q, Liu YJ, Papasian CJ, Deng HW. Gene-gene interaction between RBMS3 and ZNF516 influences bone mineral density. Journal of Bone and Mineral Research, 2013 Apr;28(4):828-37. [IF6.74]

4. Yang TL, Guo Y, Li SM, Li SK, Tian Q, Liu YJ, Deng HW. Ethnic Differentiation of Copy Number Variation on Chromosome 16p12.3 for Association with Obesity Phenotypes in European and Chinese Populations. International Journal of Obesity. 2013 Feb;37(2):188-90. [IF5.1]

3. Yang TL, Guo Y, Shen H, Li J, Glessner JT, Qiu C, Deng FY, Tian Q, Yu P, Liu YZ, Liu YJ, Hakonarson H, Grant SFA, Deng HW. Copy number variation on chromosome 10q26.3 for obesity identified by a genome-wide study. Journal of Clinical Endocrinology & Metabolism.2013 Jan, 98(1):E191-5. [IF5.96]

2. Yang TL, Guo Y, Zhang LS, Tian Q, Yan H, Papasian CJ, Recker RR, Deng HW. Runs of Homozygosity Identify a Recessive Locus 12q21.31 for Human Adult Height. Journal of Clinical Endocrinology & Metabolism. 2010 Aug, 95(8):3777-82. [IF5.96]

1. Yang TL, Chen XD, Guo Y, Lei SF, Wang JT, Zhou Q, Pan F, Chen Y, Zhang ZX, Dong SS, Xu XH, Yan H, Liu X, Qiu C, Zhu XZ, Chen T, Li M, Zhang H, Zhang L, Drees BM, Hamilton JJ, Papasian CJ, Recker RR, Song XP, Cheng J, Deng HW. Genome-wide copy-number-variation study identified a susceptibility gene, UGT2B17, for osteoporosis. The American Journal of Human Genetics, 2008 Dec, 83(6): 663-74. [IF11.03]

 

软件著作权

1. 软件著作权:杨铁林、陈一霄、姚石、郭燕、董珊珊,基于机器学习的复杂疾病易感位点预测软件【简称:FDSPV1.0,登记号:2017SR591464;登记日期:2017-10-27

2. 软件著作权:郭燕、陈佳斌、董珊珊、姚石、杨铁林,基于机器学习的环状RNA表达预测软件,登记号:2019SR0282384;登记日期:2019-3-26;开发完成日期:2017-11-20

3. 软件著作权:郭燕,陈一霄,董珊珊,杨铁林,陈佳斌,整合多组学网络的癌症关键基因鉴定软件【简称:IMNAV1.0,登记号:2021SR1616023;登记日期:2021-11-02;开发完成日期:2020-09-14

 

发明专利

1. 发明专利:杨铁林、陈晓峰、郭燕、朱东丽、卢冰婕、杨熳,一种批量设计融合PCR引物的方法,专利号:ZL 201610393219.1

2. 发明专利:郭燕、杨铁林、董珊珊、陈晓峰,一种基于基因组表观调控元件特征的复杂疾病易感基因的挖掘方法,专利号:ZL 201611258007.9

3. 发明专利:杨铁林、姚石、陈一霄、牛慧敏、董珊珊、郭燕,一种基于染色质调控环路检测复杂疾病上位性的方法及系统,专利号:ZL 201810119400.2

4. 发明专利:杨铁林,张堃,郭燕,吴昊,郭婧,丁景苗,一种基于孟德尔随机化预测复杂疾病及表型相关代谢物的方法,申请号:202010139836.5;申 :2020-03-03

5. 发明专利:杨铁林刘禹佳、刘聪聪、郭燕、董珊珊,一种对基因线路和转录调控关系自动化建模的方法,申请号:202011035802.8;申请日:2020-09-27

6. 发明专利:郭燕、郭婧、俞可、董珊珊、杨铁林,脑疾病发病风险预测模型建立方法、系统、设备及存储介质,申请号:2021102928927;申请日:2021-03-18

7. 发明专利:杨铁林柯欣、董珊珊、郭燕,基于个体通路活性的癌症诊断和预后预测系统、设备及存储介质,申请号:2021105355166;申请日:2021-05-17

 

专著

 《人类遗传学前沿》,2011,高等教育出版社,副主编(ISBN978-7-04-026503-3

 

获奖

  • 2022.02  陕西省高等学校科学技术研究优秀成果奖 特等奖 整合多组学的骨质疏松症遗传标记鉴定及调控机制研究 杨铁林,郭燕,董珊珊,李萌,陈晓峰,朱东丽,姚石,郝若涵
  • 2021.01  陕西省优秀博士学位论文,朱东丽,骨质疏松症易感基因非编码区SNP位点的鉴定及功能机制研究,指导教师:杨铁林
  • 2018.07,陕西省第四届研究生创新成果展一等奖,指导教师
  • 2016.11 COA骨科基础青年研究三等奖,中华医学会