1. 1. Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes. Wang L, Khunsriraksakul C, Markus H, Chen D, Zhang F, Chen F, Zhan X, Carrel L, Liu DJ, Jiang B. Nature communications. 2024 May 20;15(1):4260.
2. 2. Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing. Chen F*, Wang X*, ..., Vrieze S, Liu DJ. (Co-first author) Nature Genetics. 2023 Jan 26:1-0.
3. 3. Genetic diversity fuels gene discovery for tobacco and alcohol use. Saunders G*, Wang XY*, Chen F*, Jang JK, Dajiang Liu. (Co-first author); Nature, 2022: 1-7. 2022
4. 4. Integrating 3D genomic and epigenomic data to enhance target gene discovery and drug repurposing in transcriptome-wide association studies; Khunsriraksakul C, McGuire D, Sauteraud R, Chen F, Liu DJ; Nature Communications, 2022, 13(1): 1-15.
5. 5. Inferring genes that escape X-Chromosome inactivation reveals important contribution of variable escape genes to sex-biased diseases; Sauteraud R, Stahl J M, James J, Englebright M, Chen F, Zhan X, Carrel L, Liu DJ; Genome research, 2021 Sep 1;31(9):1629-37.
6. 6. Model-based assessment of replicability for genome-wide association meta-analysis. McGuire D, Jiang Y, Liu M, Weissenkampen JD, Eckert S, Yang L, Chen F, Berg A, Vrieze S, Jiang B, Li Q; Nature communications. 2021 Mar 30;12(1):1-4.
7. 7. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use; Liu M, Jiang Y, Wedow R, Li Y, Brazel DM, Chen F, Datta G, Davila-Velderrain J, McGuire D, Tian C, Zhan X; Nature Genetics, Feb 2019
8. 8. Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes; Jiang Y, Chen S, McGuire D, Chen F, Liu M, Iacono WG, Hewitt JK, Krauter K, Laakso M, Li KW; PLoS genetics. 2018 Jul 17;14(7):e1007452.
9. 9. Evolution of cell cycle control during metazoa emergence: insights from phylogeny analysis of CDK and Cyclin proteins; Cao L*, Chen F*, Yang X, Xu W, Xie J, Yu L. (Co-first author); Mol Biol Evol 2014 Dec.

2024：上海市海外高层次人才引进项目

2023：国家高层次⻘年人才计划

2023：杭州市高层次人才计划专家

2021：美国人类遗传学会（ASHG）年会Reviewer’s Choice Award

2020：美国人类遗传学会（ASHG）年会：美国人类遗传学会研究奖（Charles J. Epstein Trainee Awards for Excellence in Human Genetics Research semifinalist）