| Kim HanNa / Ph.D. |
Name : Kim HanNa Ph.D.
Department : SAIHST
Title : Assistant professor
Office : 삼성생명 일원역빌딩 C동4층
E-mail : hanna14@skku.edu
Homepage : https://sites.google.com/view/genome-n-meta/
Lab. title : Genome & Meta Lab
Related Department : Department of Health Sciences and Technology,Department of Clinical Research Design and Evaluation,Department of Digital health
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￭Careers 2002 B.S. Pusan National University 2004 M.S. Pusan National University 2010 Ph.D. Ewha Womans University 2010 – 2013 Postdoctoral Fellow. Ewha Womans University, School of Medicine 2013 – 2018 Research Professor. Ewha Womans University, School of Medicine 2018 – 2022 Research Professor. Kangbuk Samsung Hospital 2019 - 2022 Research Professor. SAIHST, Sungkyunkwan University 2023 - present Assistant professor, SAIHST, Sungkyunkwan University ￭ Summary Our laboratory has focused on the genetic, environmental background, and their interactions for complex diseases. The goal is to develop adjustable methods that can contribute to delaying progression of the disease and improving health status. Our research areas include multidisciplinary studies covering medicine to sociology including gene mapping of common diseases, personality genomics, and interactions with lifestyles, depression, brain imaging, gut microbiota and nutrient intake. Currently, we are involved in the Global Lipids Genetics Consortium (GLGC) and the MiBioGen Consortium, international collaborations on human genome as well as host-microbiome interactions. In addition, we regularly train clinician to produce and study genomic data. We’re also supporting clinicians for research design and guidelines for the genomic study. ￭ Selected Publications (2015-Present) 1) Correlation between gut microbiota and personality in adults: A cross-sectional study. Brain Behavior and Immunity 2017 Dec;69:374-385 2) Meta-analysis of human genome-microbiome association studies: The MiBioGen consortium initiative. Microbiome 2018 Jun;6(1):101 3) Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort. BMC Microbiology. 2017 Jul;17(1):151 4) Meta-analysis of genome-wide SNP- and pathway-based associations for facets of neuroticism. Journal of Human Genetics. 2017 Oct;62(10): 903-909 5) Pathway analysis of genome-wide association datasets of personality traits: Pathway analysis of personality traits. Genes Brain and Behavior. 2015 Mar;14(4): 345-356 |
