Human Genetics and Genomics
Dr. Li received his Ph.D. in Biochemistry and Molecular Biology from Shanghai Jiao Tong University, and obtained postdoctoral training at Rockefeller University in Statistical Genetics. He has held a faculty position in Psychiatry at Yale University and joined the UVM faculty in 2012.
Laboratory of Human Genetics and Genomics
Please check our laboratory webpage (www.uvm.edu/genomics) for updated information
Genomics: Future of Medicine
Genetic factors account for more than half of the phenotypic variations on the development of most common human diseases, such as mental disorders, diabetes, hypertension, and cancers. The previously identified genes only explain a small percentage of known inherited risk to develop each of these diseases. Most of the genetic factors are still unknown. The molecular basis of the missing heritability may lie in rare single nucleotide polymorphisms (SNPs), copy number variations (CNVs), gene-gene and gene-environment interactions, epigenetic changes, and other genomic mechanisms on the human genome.
Research in our laboratory aims to understand the genetic basis of these genomic variations and their roles in the etiologies of complex human diseases, particularly mental disorders and brain diseases (e.g., substance use disorders), using the latest high-throughput genomic platforms (e.g., microarrays and next-generation sequencing) and advanced computational tools, followed by functional validations of identified variants. Our studies will provide better understanding of the disease mechanisms towards novel development of early diagnosis, disease prediction, and personalized treatment.
Typical Research Design
The figure below shows the overall design of one of our recent studies. In this example, we have recruited unique, large patient cohorts, and recently completed genome-wide genotyping experiments. The next step is to leverage the big data to identify disease-associated genes using advanced computational tools.
Current Research Topics
1. Genome-wide association study (GWAS)
2. Copy Number Variation (CNV)
4. Gene discovery and fine-mapping
5. Next generation deep sequencing
6. Mental disorders and brain diseases
Join this brilliant team?
Postdoctoral and student positions are immediately available for motivated, young statistical geneticists who are excited about the unique research and training opportunities.
Li D*, Zhao H, Kranzler HR, Li M, Jensen KP, Zayats T, Farrer LA, Gelernter J. Genome-wide Association Study of Copy Number Variations (CNVs) With Opioid Dependence. Neuropsychopharmacology. 2014. (In press) (* corresponding author)
Sulovari A, Li D*. GACT: a Genome build and Allele definition Conversion Tool for SNP imputation and meta-analysis in genetic association studies. BMC Genomics. 2014 Jul 19;15(1):610. PMID: 25038819. (* corresponding author)
Li D*, Sulovari A, Cheng C, Zhao H, Kranzler HR, Gelernter J. Association of Gamma-Aminobutyric Acid A Receptor Î± 2 Gene (GABRA2) with Alcohol Use Disorder. Neuropsychopharmacology. 2014 Mar;39(4):907-18. PMID: 24136292. PMCID: PMC3924525. (* corresponding author)
Cao J, Liu X, Han S, Zhang CK, Liu Z, Li D*. Association of the HTR2A gene with alcohol and heroin abuse. Human Genetics. 2014 Mar;133(3):357-65. PMID: 24178752. PMCID: PMC4085799. (* corresponding author)
Cao J, Hudziak J, Li D*. Multi-cultural Association of the Serotonin Transporter Gene (SLC6A4) with Substance Use Disorder. Neuropsychopharmacology. 2013 Aug;38(9):1737-47. PMID: 23518607. PMCID: PMC3717550. (* corresponding author)
Cao J, LaRocque E, Li D*. Associations of the 5-hydroxytryptamine (Serotonin) Receptor 1B Gene (HTR1B) with Alcohol, Cocaine, and Heroin Abuse. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. 2013 Mar;162(2):169-76. PMID: 23335468. PMCID: PMC4089973. (* corresponding author)
* indicates equal contribution
Department of Microbiology & Molecular Genetics
Office: 008 Hills
Lab: 214A Stafford Hall
Arvis Sulovari, MMG Grad Student
- 7/7/2015 11:30 AM – 12:00 PM
- 7/7/2015 12:00 PM – 12:30 PM
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