方铭 - 集美大学 - 水产学院

个人简介

方铭，男，博士生导师，闽江学者特聘教授（2017），入选福建省百千万人才工程计划，福建省高层次人才B类，入选第十批厦门市双百计划，福建水产学会理事。主持科研项目 1. 国家自然科学基金面上项目，31672399，利用高通量测序数据检测顺式作用遗传变异的新方法及其应用，2017/01-2020/12，64万，在研，主持 2. 国家自然科学基金面上项目，31872560，基于混池测序技术的黄姑鱼红头病抗病位点超精细定位，2019/01-2022/12，在研，62万，主持 3．国家重点研发计划“蓝色粮仓科技创新”重点专项子任务，基因组育种技术平台构建和黄姑鱼性别相关性状分析，2018/12-2021/12，在研，115万，主持 4. 国家自然科学基金青年科学基金项目，31001001，畜禽系谱群体重要经济性状位点的高效力精细定位方法，2011/01-2013/12，19万，已结题，主持 5. 黑龙江省教育厅新世纪优秀人才支持计划，1253—NCET—001，畜禽全基因组育种值预测的高维分析方法，2013/06-2017/06，20万，结题，主持

研究领域

动物分子育种。开发/利用先进的分子选育技术针对大黄鱼等进行良种选育。动物经济性状遗传解析。结合多组学及分子生物学技术检测动物生长、抗病等经济性状关联的功能基因及因果突，病研究因果突变调控机制。人类疾病遗传解析。采用多组学技术检测人类疾病相关的功能基因及因果突变，主要针对人类炎症性肠病（克伦恩病及溃疡性结肠炎）、银屑病、糖尿病、类风湿性关节炎、肺癌等疾病进行研究。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Hailiang Huang#, Ming Fang#, Luke Jostins#, Masa U. Mirkov, International the IBD Genetics Consortium, Michel Georges, Jeffrey C. Barret and Mark J. Daly. Fine-mapping inflammatory bowel disease loci to single-variant resolution. 2017, Nature, 13;547(7662):173-178. Liu G , Han Z , Jiang D , Li W, Zhang WJ, Ye K, Gu LL, Dong LS, Fang M*, Wang ZY*. Genome-wide association study identifies loci for traits related to swim bladder in yellow drum (Nibea albiflora). Aquaculture, 2020, 526:735327. Liu G, Dong L, Gu LL, Han ZF, Zhang WJ, Fang M* & Wang ZY*. Evaluation of Genomic Selection for Seven Economic Traits in Yellow Drum (Nibea albiflora). Marine Biotechnology. 21, 806–812 (2019). Li Y, Li B, Yang M, Han H, Chen T, Wei Q, Miao Z, Yin L, Wang R, Shen J, Li X, Xu X, Fang M* and Zhao S* (2020) Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs. Frontier in Genetics. 11:183. Jiang, D., Xin, C., Ye, J. Fang M.*. ICGRM: integrative construction of genomic relationship matrix combining multiple genomic regions for big dataset. BMC Bioinformatics 20, 731 (2019).. Jun-Feng Gao, Yuan Gao, Jian-Hua Qiu, Qiao-cheng Chang, Yan Zhang, Ming Fang*, Chun-Ren Wang*. De novo assembly and functional annotations of the transcriptome of Metorchis orientalis (trematoda: Opisthorchiidae). 2018. Experimental Parasitology. Changliang Qiu#, Linsong Dong#, Shijun Xiao, Shuangbin Xu, Ming Fang, Zhiyong Wang. Genetic parameters estimation of Nine Quantitative Traits by a marker-based method in Large Yellow Croaker, Larimichthys crocea (Rechardson). 2017. Aquaculture Research. Yuxue Gao, Linsong Dong, shuangbin Xu, Shijun Xiao, Ming Fang, Zhiyong Wang*. Genome-wide association study using single SNP analysis and Bayesian method for swim bladder index and gonadosomatic index in large yellow croaker. 2017. Aquaculture. Linsong　Dong; Ming Fang, Zhiyong Wang. Prediction of genomic breeding values using new computing strategies for the implementation of MixP. 2017. Scientific Reports. Jun-Feng Gao, Guo-Hua Liu, Hong Duan, Yuan Gao, Yan Zhang, Qiao-Cheng Chang, Ming Fang, Chun-Ren Wang. Complete mitochondrial genomes of Triodontophorus serratus and Triodontophorus nipponicus, and their comparison with Triodontophorus brevicauda.. 2017. Experimental Parasitology. Ming Fang, Michel Georges*, BayesFM: a software program to fine-map multiple causative variants in GWAS identified risk loci. 2016, Biorxiv Yang Deguang#, Han Shanshan#, Jiang Dan#, Yang Runqing and Ming Fang*. Inference of posterior inclusion probability of QTLs in Bayesian shrinkage analysis. Genet. Res. 2015. doi:10.1017/S001667231500001. Jiang Dan, Ma Guoda, Yang Runqing, Li Kesen *, and Ming Fang*. Bayesian model selection for multiple QTLs mapping combining linkage disequilibrium and linkage. Genet. Res. 2014. doi: 10.1017/S0016672314000135. Ming Fang*, Fu Weixuan, Zhang Qin*, Ding Xiangdong, Sun Dongxiao*. A Multiple-SNP Approach for Genome-Wide Association Study of Milk Production Traits in Chinese Holstein Cattle. PLOS ONE, 2014, 9(8):e99544. Dan Jiang, Yanli Wu, Jiahan li, Yang Wu, Ming Fang and Runqing Yang. Cox regression model for dissecting genetic architecture of survival time. Genomics, 2014, 104 (6):472-476. Xiaoping Wu#, Ming Fang#, Lin Liu, Sheng Wang, Jianfeng Liu, Xiangdong Ding, Shengli Zhang, Qin Zhang, Yuan Zhang, Lv Qiao, Mogens Sand Lund, Guosheng Su, Dongxiao Sun*. Genome wide association studies for body conformation traits in the Chinese Holstein cattle population. BMC Genomics, 2013, 14:897. Ming Fang*. A fast expectation-maximum algorithm for fine-scale QTL mapping. Theoretical and Applied Genetics, 2012,125:1727-1734. Ming Fang*, Dan Jiang, Dandan Li, Runqing Yang. Improved LASSO priors for shrinkage QTL mapping. Theoretical and Applied Genetics, 2012, 124(7):1315-24. Xiaojing Zhou, Ming Fang, Jiahan Li, Daniel R Prows, Runqing Yang. Characterization of genomic imprinting effects and patterns with parametric accelerated failure time model. Molecular Genetics and Genome, 2012, 287(1):67-7. Ming Fang#, Jianfeng Liu#, Qin Zhang* and Dongxiao Sun*. QTL Mapping in Outbred Half-sib Families Using Bayesian Model Selection. Heredity, 2011, 107, 265-276. Ming Fang*. Bayesian shrinkage mapping of quantitative trait loci in variance component models. BMC Genetics, 2010, 11(1):1-10. Ming Fang*, Shengcai Liu, Dan Jiang, Bayesian composite model space approach for mapping quantitative trait loci in variance component model. Behav Genet, 2009, 39: 337-346. Gao H, Ming Fang, Liu JF, Zhang Q*, Bayesian shrinkage mapping for multiple QTL in half-sib families. Heredity, 2009, 103(5): 368-376. Ming Fang*, Dan Jiang, Lijun Pu, Huijiang Gao, Peng Ji, Hongyi Wang, et al., Multitrait analysis of quantitative trait loci using Bayesian composite space approach. BMC Genetics, 2008, 9:48. Ming Fang*, Dan Jiang, Huijiang Gao, Dongxiao Sun, RQ Yang, Qin Zhang, A new Bayesian automatic model selection approach for mapping quantitative trait loci under variance component model. Genetica, 2008, 135(3): 429-439. Ming Fang*, Dan Jiang, Xu Chen, Lijun Pu, Shengcai Liu, Bayesian analysis of genetic architecture of quantitative trait using data of crosses of multiple inbred lines. Genetica, 2008, 134(3): 367-375. Runqing Yang*, Ming Fang, Mapping quantitative trait loci in line cross with repeat records. BMC Genetics, 2007, 8: 47.