Opening the “black box” of genomic architecture behind complex traits contributes to genomic prediction

PhD defence, Tuesday 23 May 2017. Lingzhao Fang

2017.05.23 | Steffi Hjerrild Iversen

Lingzhao Fang

A better understanding of the genetic architecture behind complex traits would be beneficial for genomic prediction of disease risk in personalized medicine and that of genetic merit in breeding livestock and plant species of agricultural importance. During his studies, Lingzhao Fang has developed and applied genomic feature models incorporating prior biological information to explore the genetic architecture and genomic prediction for complex traits in dairy cattle. He showed that genomic feature models provided novel insights into the genetic and biological basis of complex traits as well as improved the accuracy of genomic prediction.

The research findings contribute to the use of biological information to open the “black box” of genetic architecture and to improve genomic prediction for complex traits in livestock populations.

The PhD degree was completed at the College of Animal Science and Technology, China Agricultural University, and the Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University.

This résumé was prepared by the PhD student.

Time: Tuesday 23 May 2017 at 14:00
Place
: Conference room 4, College of Animal Science and Technology, China Agricultural University
Title of dissertation
: Genomic feature model analysis of complex traits in diary cattle
Contact information
: Lingzhao Fang , e-mail: lingzhao.fang@mbg.au.dk, tel.: + 4591454174
Members of the assessment committee
:
Professor Albert Tenesa, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh
Professor Xuemei Lu, Beijing Institute of Genomics, Chinese Academy of Sciences
Professor Ning Yang, College of Animal Science and Technology, China Agricultural University
Professor Qin Zhang, College of Animal Science and Technology, China Agricultural University
Professor Just Jensen (chair), Department of Molecular Biology and Genetics, Aarhus University
Main supervisor
:
Senior Scientist Peter Sørensen, Department of Molecular Biology and Genetics, Aarhus University
Professor Shengli Zhang & Ying Yu, College of Animal Science and Technology, China Agricultural University
Co-supervisor
:
Senior Scientist Guosheng Su, Department of Molecular Biology and Genetics, Aarhus University
Professor Mogens Sandø Lund, Department of Molecular Biology and Genetics, Aarhus University
Language
: The PhD dissertation will be defended in English.

The dissertation is public. 
The dissertation is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1520, rooms 128-134, 8000 Aarhus C

PhD defence
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Revised 19.05.2017