Email: fabiom@clemson.edu<\/p>\nVisit the Morgante Lab<\/a>\n Dr. Fabio Morgante<\/p><\/div>\n Dr. Morgante started his academic career at the University of Florence (Italy), where he earned a BS and an MS in Agricultural Sciences with a special focus on animal science. He attended the University of Edinburgh (Scotland) and obtained an MSc in Animal Breeding and Genetics. Morgante earned an MR in Statistics and a PhD in Genetics from North Carolina State University (US), advised by Dr. Trudy Mackay. During this period, he also spent a total of 5 months at Aarhus University (Denmark) to work with Drs. Peter S\u00f8rensen and Daniel Sorensen. He then performed postdoctoral research in the labs of Drs. Matthew Stephens and Yang Li at the University of Chicago (US). Morgante joined the Center for Human Genetics and the Department of Genetics and Biochemistry at Clemson University (US) as an Assistant Professor in Fall 2020.<\/p>\n Morgante\u2019s research interests lie in quantitative and statistical genetics. In particular, his research focuses not only on understanding the genetic architecture of complex traits in humans and model species, but also on using this information to improve phenotypic prediction accuracy for such traits. To achieve this goal, his group often develops new analytical strategies and statistical methods.<\/p>\n Kunkel D, S\u00f8rensen P, Shankar V, Morgante F. (2025). Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes. PLoS Genetics 21(1): e1011519.<\/p>\n Klimkowski Arango N, Morgante F. (2025). Comparing statistical learning methods for complex trait prediction from gene expression. PLoS ONE 20(2): e0317516.<\/p>\n Tiezzi F, Goda K, Morgante F. (2025). Improvement of polygenic modeling of blood pressure traits using lifestyle information in the UK Biobank. GENETICS 230(3): iyaf089.<\/p>\n Everett LJ, Huang W, Zhou S, Carbone MA, Lyman RF<\/strong>, Arya GH, Geisz MS, Ma J, Morgante F<\/strong>, St Armour G, Turlapati L, Anholt RRH<\/strong> and Mackay TFC<\/strong>. 2020. Gene expression networks in the Drosophila<\/em> Genetic Reference Panel.\u00a0 Genome Res<\/em> 30<\/strong>: 485-496. doi: 10.1101\/gr.257592.119.<\/p>\n Morgante F<\/strong>, Huang W, S\u00f8rensen P, Maltecca C and Mackay TFC<\/strong>. 2020. Leveraging multiple layers of data to predict\u00a0Drosophila<\/em>\u00a0complex traits. G3 (Bethesda)<\/em> 10:<\/strong> 4599-4613. doi: 10.1534\/g3.120.401847.<\/p>\n Zhou S, Morgante F<\/strong>, Geisz MS, Ma J, Anholt RRH<\/strong> and Mackay TFC<\/strong>. 2020. Systems genetics of the Drosophila<\/em> metabolome. Genome Res<\/em> 30<\/strong>: 392-405. doi: 10.1101\/gr.243030.118.<\/p>\n Morgante F<\/strong>, Huang W, S\u00f8rensen P, Maltecca C and Mackay TFC<\/strong>. 2019. Leveraging multiple layers of data to predict Drosophila<\/em> complex traits. bioRxiv<\/em> 824896. doi: 10.1101\/824896.<\/p>\n Morgante F,<\/strong> Huang W, Maltecca C, Mackay TFC<\/strong>. (2018). Effect of Genetic Architecture on the Prediction Accuracy of Quantitative Traits in Samples of Unrelated Individuals. Heredity<\/em> 120: 500-514.<\/p>\n Barroso LM, Morgante F<\/strong>, Mackay TFC<\/strong>, Nascimento ACC, Nascimento M, Ser\u00e3o NV. (2017). Genomic Prediction Accuracies Using Regularized Quantile Regression (RQR) Methodology. Journal of Animal Science<\/em>supplement2:14-15.<\/p>\n S\u00f8rensen P,\u00a0de los Campos G,\u00a0Morgante F<\/strong>,\u00a0Mackay TFC<\/strong>,\u00a0Sorensen D. (2015).\u00a0Genetic Control of Environmental Variation of Two Quantitative Traits of\u00a0Drosophila melanogaster<\/em>Revealed by Whole-Genome Sequencing.\u00a0Genetics<\/em>\u00a0201:487-497.<\/p>\n Morgante F<\/strong>, S\u00f8rensen P, Sorensen DA, Maltecca C, Mackay TFC<\/strong>. (2015). Genetic Architecture of Micro-environmental Plasticity in Drosophila melanogaster<\/em>. Scientific Reports <\/em>5: 9785.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Associate Professor, Department of Genetics and Biochemistry Email: fabiom@clemson.edu Visit the Morgante Lab<\/a> Biosketch Dr. Morgante started his academic career at the University of Florence (Italy), where he earned a BS and an MS in Agricultural Sciences with a special focus on animal science. He attended the University of Edinburgh […]<\/p>\n","protected":false},"author":13,"featured_media":1358,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"Assistant Professor, Department of Genetics and Biochemistry<\/strong>\r\n\r\nEmail: fabiom@clemson.edu\r\n\r\n[button link=\"https:\/\/morgantelab.com\/\" type=\"big\" color=\"silver\" newwindow=\"yes\"] Visit the Morgante Lab[\/button]\r\n\r\n[caption id=\"attachment_1358\" align=\"alignright\" width=\"240\"]![\"A](\"https:\/\/scienceweb.clemson.edu\/chg\/wp-content\/uploads\/sites\/4\/2023\/04\/fabio-morgante-2-g-240x300.jpg\" "\\"Dr.")
<\/a>Biosketch<\/strong><\/h2>\n
Research<\/strong><\/h2>\n
Publications<\/strong><\/h2>\n
<\/a> Dr. Fabio Morgante[\/caption]\r\nBiosketch<\/strong><\/h3>\r\nDr. Morgante started his academic career at the University of Florence (Italy), where he earned a BS and an MS in Agricultural Sciences with a special focus on animal science. He attended the University of Edinburgh (Scotland) and obtained an MSc in Animal Breeding and Genetics. Morgante earned an MR in Statistics and a PhD in Genetics from North Carolina State University (US), advised by Dr. Trudy Mackay. During this period, he also spent a total of 5 months at Aarhus University (Denmark) to work with Drs. Peter S\u00f8rensen and Daniel Sorensen. He then performed postdoctoral research in the labs of Drs. Matthew Stephens and Yang Li at the University of Chicago (US). Morgante joined the Center for Human Genetics and the Department of Genetics and Biochemistry at Clemson University (US) as an Assistant Professor in Fall 2020.\r\n
Research<\/strong><\/h3>\r\nMorgante\u2019s research interests lie in quantitative and statistical genetics. In particular, his research focuses not only on understanding the genetic architecture of complex traits in humans and model species, but also on using this information to improve phenotypic prediction accuracy for such traits. To achieve this goal, his group often develops new analytical strategies and statistical methods.\r\n
Publications<\/strong><\/h3>\r\nKunkel D, S\u00f8rensen P, Shankar V, Morgante F. (2025). Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes. PLoS Genetics 21(1): e1011519.\r\n\r\nKlimkowski Arango N, Morgante F. (2025). Comparing statistical learning methods for complex trait prediction from gene expression. PLoS ONE 20(2): e0317516.\r\n\r\nTiezzi F, Goda K, Morgante F. (2025). Improvement of polygenic modeling of blood pressure traits using lifestyle information in the UK Biobank. GENETICS 230(3): iyaf089.\r\n\r\nEverett LJ, Huang W, Zhou S, Carbone MA, Lyman RF<\/strong>, Arya GH, Geisz MS, Ma J, Morgante F<\/strong>, St Armour G, Turlapati L, Anholt RRH<\/strong> and Mackay TFC<\/strong>. 2020. Gene expression networks in the Drosophila<\/em> Genetic Reference Panel.\u00a0 Genome Res<\/em> 30<\/strong>: 485-496. doi: 10.1101\/gr.257592.119.\r\n\r\nMorgante F<\/strong>, Huang W, S\u00f8rensen P, Maltecca C and Mackay TFC<\/strong>. 2020. Leveraging multiple layers of data to predict\u00a0Drosophila<\/em>\u00a0complex traits. G3 (Bethesda)<\/em> 10:<\/strong> 4599-4613. doi: 10.1534\/g3.120.401847.\r\n\r\nZhou S, Morgante F<\/strong>, Geisz MS, Ma J, Anholt RRH<\/strong> and Mackay TFC<\/strong>. 2020. Systems genetics of the Drosophila<\/em> metabolome. Genome Res<\/em> 30<\/strong>: 392-405. doi: 10.1101\/gr.243030.118.\r\n\r\nMorgante F<\/strong>, Huang W, S\u00f8rensen P, Maltecca C and Mackay TFC<\/strong>. 2019. Leveraging multiple layers of data to predict Drosophila<\/em> complex traits. bioRxiv<\/em> 824896. doi: 10.1101\/824896.\r\n\r\nMorgante F,<\/strong> Huang W, Maltecca C, Mackay TFC<\/strong>. (2018). Effect of Genetic Architecture on the Prediction Accuracy of Quantitative Traits in Samples of Unrelated Individuals. Heredity<\/em> 120: 500-514.\r\n\r\nBarroso LM, Morgante F<\/strong>, Mackay TFC<\/strong>, Nascimento ACC, Nascimento M, Ser\u00e3o NV. (2017). Genomic Prediction Accuracies Using Regularized Quantile Regression (RQR) Methodology. Journal of Animal Science<\/em>supplement2:14-15.\r\n\r\nS\u00f8rensen P,\u00a0de los Campos G,\u00a0Morgante F<\/strong>,\u00a0Mackay TFC<\/strong>,\u00a0Sorensen D. (2015).\u00a0Genetic Control of Environmental Variation of Two Quantitative Traits of\u00a0Drosophila melanogaster<\/em>Revealed by Whole-Genome Sequencing.\u00a0Genetics<\/em>\u00a0201:487-497.\r\n\r\nMorgante F<\/strong>, S\u00f8rensen P, Sorensen DA, Maltecca C, Mackay TFC<\/strong>. (2015). Genetic Architecture of Micro-environmental Plasticity in Drosophila melanogaster<\/em>. Scientific Reports <\/em>5: 9785.","_et_gb_content_width":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[12],"tags":[],"class_list":["post-732","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-faculty"],"_links":{"self":[{"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/posts\/732","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/comments?post=732"}],"version-history":[{"count":1,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/posts\/732\/revisions"}],"predecessor-version":[{"id":2443,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/posts\/732\/revisions\/2443"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/media\/1358"}],"wp:attachment":[{"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/media?parent=732"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/categories?post=732"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scienceweb.clemson.edu\/ihg\/wp-json\/wp\/v2\/tags?post=732"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}