School of Medicine
Showing 1-10 of 39 Results
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Huaying Fang
Postdoctoral Research Fellow, Genetics
Current Research and Scholarly Interests My research aims to develop efficient computational approaches for constructing meaningful networks using multi-omics data. The rapid development of sequencing technologies produces a lot of multi-omics data. We could construct much more stable and accurate biological networks from these multi-omics data than only one-omic data. Then we can make further analysis on the association between networks and diseases from the system views.
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Jordan S Farrell
Postdoctoral Research Fellow, Neurosurgery
Current Research and Scholarly Interests I aim to better understand hippocampal network function in both physiology and epilepsy using in vivo imaging, optogenetics, and electrophysiology.
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Mohsen Fathzadeh
Postdoctoral Research Fellow, Cardiovascular Medicine
Bio My long-term goal is to learn, develop and design frameworks to implement “Precision Medicine” based on the “rare” and “common” genomic variants. Particularly, I am enthusiastic to construct global precision medicine basis to help individuals with diabetes, insulin resistance and cardiovascular comorbidity.
After completing my master’s degree in human genetics, I was attracted by the fact that early onset coronary artery disease (CAD) manifest as a genetic subtype of the common type of CAD. In collaboration with Dr. Arya Mani and Dr. Richard Lifton, experts in Mendelian forms of CAD (Yale University), and Dr. Reza Malekzadeh, a pioneer of cohort studies (Tehran University), I contributed to the genetic analysis of families with early onset CAD and metabolic syndrome. We identified DYRK1B as a causative gene (co-first author; N Engl J Med; 2014).
After completion of Ph.D. I was enthusiastic to be trained deeply on the genetic basis of diabetes and insulin resistance. Navigating through leading institutes, I found Stanford University an ideal place for this training; because here at Stanford Cardiovascular medicine, Dr. Gerald Reaven, a pioneer of insulin resistance, along with Drs. Thomas Quertermous and Joshua Knowles had developed the multicenter cohort for a GWAS of insulin resistance by direct measures of insulin sensitivity including “clamp-based” measures of insulin resistance. This group had just identified and validated a common SNP (rs1208, 803A>G, K268R) in N-acetyltransferase 2 (NAT2) as insulin resistance variant. In this innovative training and career development, I am taking part in defining the role of Nat1 (mouse ortholog of NAT2) in the global and liver specific knockout mice. We have already profiled ‘OMICs changes in the Nat1 global knockout mice with insulin resistance and extensively analyzed the data with promising finding on possible mechanism of mitochondria substrate availability and cholesterol biosynthesis.
During postdoctoral fellowship, I have been involved in the joint project of Stanford-Merck on functional characterization of lipodystrophy-like genes identified through GWAS of glycemic traits (fasting insulin, HDL and WHR adjusted for BMI). This study has opened up new possibility and insight to target peripheral adiposity and insulin resistance. We extensively have been studying one of these promising targets in the transgenic mice and in the data from human cohorts.
