Charleston Chiang, PhD
Assistant Professor of Population and Public Health Sciences
Health Equity Interests
We seek to understand the evolutionary causes and genetic underpinning of complex human traits within and between populations
Biography
Charleston Chiang is Assistant Professor of Preventive Medicine at USC. He is a medical population geneticist focused on understanding how the evolutionary forces, specifically demographic history and natural selection, shaped the genetic architecture of complex traits within and between human populations. To this end, he has led a number of large-scale genomic studies in humans to characterize the fine-scale population structure, to investigate signals of natural selection and adaptation, and to leverage these evolutionary insights to map the genetic loci underlying human complex traits. He is most interested in studying diverse populations with a unique history; he has worked with populations from Finland, China, Sardinia, as well as with cohorts of Latino Americans and Native Hawaiians. Prior to his position at Center for Genetic Epidemiology, Dr. Chiang received his B.S. in Microbiology, Immunology, and Molecular Genetics from University of California Los Angeles (UCLA), Ph.D. in Genetics from Harvard University, and completed his postdoctoral training in Population Genetics and Human Genetics at UCLA. His current lab website can be found at http://chianglab.usc.edu
Research Interests
- Disparities
- Genetics
- cardiovascular
- metabolic
- Statistical Methods
- Data Sciences
- Genomic Data Sciences
Publications
Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits-The Hispanic/Latino Anthropometry Consortium.
HGG Adv. 2022 Apr 14;3(2):100099. doi: 10.1016/j.xhgg.2022.100099. Epub 2022 Mar 11. PubMed PMID: 35399580; PubMed Central PMCID: PMC8990175.
A genealogical estimate of genetic relationships.
Am J Hum Genet. 2022 May 5;109(5):812-824. doi: 10.1016/j.ajhg.2022.03.016. Epub 2022 Apr 12. PubMed PMID: 35417677; PubMed Central PMCID: PMC9118131.
Variant to function mapping at single-cell resolution through network propagation.
Nat Biotechnol. 2022 Jun 6;. doi: 10.1038/s41587-022-01341-y. Epub 2022 Jun 6. PubMed PMID: 35668323;
A Rare Germline HOXB13 Variant Contributes to Risk of Prostate Cancer in Men of African Ancestry.
Eur Urol. 2022 Jan 11;. doi: 10.1016/j.eururo.2021.12.023. Epub 2022 Jan 11. PubMed PMID: 35031163;
Variant to function mapping at single-cell resolution through network propagation.
bioRxiv. 2022 Jan 24;. doi: 10.1101/2022.01.23.477426. Epub 2022 Jan 24. PubMed PMID: 35118467; PubMed Central PMCID: PMC8811900.
Courses Taught
- Statistical Genetics