1.        Zhu RJ^#, Guo Y^#, Wang JH, Yu K, Shi W, Pan W, Yu XL, Chen W, Dong SS*, Yang TL*. Revealing the genetic architectures underlying organ-specific aging based on proteomic data. Nature Communications. 2026, 17:528.

2.        Shi W^#, Dong SS^#,  Zhu RJ, Tang SH, Wang JH, Jiang F, Wu H, Duan YY, Guo J, Liu K, Li ZQ,  Li M, Wang J*, Guo Y*, Yang TL*. Genetic Insights into Head-to-Body  Ratios Via Deep Learning-Based Image Segmentation and Implications for  Common Diseases. Nature Communications.2026, 17:864.

3.        Dong SS^#, Duan YY^#,  Zhu RJ, Jia YY, Chen JX, Huang XT, Tang SH, Yu K, Shi W, Chen XF, Jiang  F, Hao RH, Liu Y, Liu Z, Guo Y*, Yang TL*. Systematic functional  characterization of non-coding regulatory SNPs associated with central  obesity. American Journal of Human Genetics. 2025 Jan 2;112(1):116-134.

4.        Guo J^#, Yu K^#, Dong SS^#,  Yao S, Rong Y, Wu H, Zhang K, Jiang F, Chen YX, Guo Y*, Yang TL*.  Mendelian randomization analyses support causal relationships between  brain imaging-derived phenotypes and risk of psychiatric disorders. Nature Neuroscience. 2022,25(11):1519-1527.

5.        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; 6(11):1569-1576. ESI热点与高被引

6.        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;23(5):bbac183.

7.        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, 13(1):48.

8.        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 Bioinformatics, 2021, 22(4):bbaa227.ESI高被引

9.        Dong SS^#,Zhu DL^#,Zhou XR, Rong Y, Zeng M, Chen JB, Jiang F, Tuo XM, Feng Z, Yang TL, Guo Y^*. An intronic risk SNP rs12454712 for central obesity acts as an allele-specific enhancer to regulate BCL2 expression. Diabetes. 2021, 70(8):1679-1688.

10.     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, 20(1):26-32.

11.     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热点与高被引

12.     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, 19(7):917-930.

13.     Zhao S^#, Zheng P^#, Dong S^#, Zhan X^#, Wu Q^#,  Guo X, Hu Y, He W, Zhang S, Fan W, Zhu L, Li D, Zhang X, Chen Q, Zhang  H, Zhang Z, Jin X, Zhang J, Yang H, Wang J, Wang J*, Wei F*.  Whole-genome sequencing of giant pandas provides insights into  demographic history and local adaptation. Nature Genetics. 2013, 45(1):67-71.