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Insulin resistance causes the epidemic diseases of our era...

but it is invisible even to trained clinical eyes.

Translational investigation of insulin resistance and cardio-metabolic diseases

See our recent publications

Get to know our lab members
Join our team

The Majithia lab is recruiting talented and enthusiastic scientists at all levels to join our group!

Our Mission: Develop new ways to detect and treat insulin resistance 

We study human insulin resistance using the tools of human genetics and functional genomics. Our goal is to diagnose patients and identify therapeutic targets for cardiometabolic diseases-- diabetes, heart attacks, strokes and fatty liver

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Our Approach:


We apply a multi-disciplinary approach to investigation—
grounded in human genetics, clarified through systematic, high throughput cellular experimentation, and calibrated by its relevance to disease. 
1. Genotype: human genetic/genomic variation; genome engineering 
2. Function: massively parallel, disease-calibrated cellular assays; serum/tissue biomarkers 
3. Phenotype: clinical trial outcomes and real-world patient health data

Our Research Programs

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Therapeutic Target Identification

Therapeutic Target Identification

Identify genes that protect from insulin resistance
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Individually tailored therapy

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Next-generation phenotyping

Lab News and Announcements 

December 2021: Our review on the genetics of non-alcholic fatty liver disease (NAFLD) has been published, check it out here.

  • "Human Genetics to Identify Therapeutic Targets for NAFLD: Challenges and Opportunities", Frontiers in Endocrinology 2021

December 2021: Dr. Majithia discussed the utility of high content imaging for studying non-alcoholic fatty liver disease (NAFLD) in a Nature Research webinar, check it out here.

  • "Automated high content imaging and analysis for biomedical research applications", Webinar produced by Nikon and Nature Research

September 2021: Welcome Bioinformatics & Systems Biology PhD student Arjana Begzati to the lab!

July 2021: Welcome Bioinformatics & Systems Biology PhD student Xiaomi Du to the lab!

January 2021: Our work with real-time continuous glucose monitoring has been published, check it out here.

  • "Remote Application and Use of Real-Time Continuous Glucose Monitoring by Adults with Type 2 Diabetes in a Virtual Diabetes Clinic", Diabetes Technol Ther 2021