Mi Huang

Mi Huang

Affiliated with the university

Personal profile


Functional genomics - Gene-Environment interactions on obesity and type 2 diabetes. In the post-GWAS era, to understand how the DNA variations affect metabolic disease development is crucial for precision medicine. My research interests are using CRISPR technology in adipose cell models and in combination in silicon functional annotation to revel the causal DNA variants in obesity and further understanding the biological mechanisms behind gene and environment interaction in weight loss and regain.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

UKÄ subject classification

  • Cell and Molecular Biology
  • Endocrinology and Diabetes

Free keywords

  • CRISPR/Cas9
  • GWAS
  • Obesity, Type 2 Diabetes, polyphenols, berries
  • alleles
  • Gene-environment interaction
  • brown adipocytes
  • white adipocytes
  • genome editing


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Collaborations the last five years

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