[et_pb_section fb_built=”1″ admin_label=”Team Section” module_id=”team” module_class=”team-section” _builder_version=”4.16″ _module_preset=”default” background_color=”#f7fcff” parallax=”on” global_colors_info=”{}”][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/mahjanilab\/wp-content\/uploads\/sites\/458\/2022\/10\/profile-Seulgi-Jung.png” title_text=”profile-Seulgi-Jung” _builder_version=”4.16″ _module_preset=”default” min_height=”249px” custom_padding=”4px|16px|24px|||” animation_style=”fade” border_radii=”on|5px|5px|5px|5px” box_shadow_style=”preset3″ global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Seulgi” _builder_version=”4.16″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” min_height=”355.4px” global_colors_info=”{}”]<\/p>\n
Postdoctoral Fellow<\/strong> I\u2019m Seulgi, a postdoctoral fellow at Dr. Joseph Buxbaum, Dr. Dorothy Grice, and Dr. Behrang Mahjani labs at the Department of Psychiatry at the Icahn School of Medicine at Mount Sinai (ISMMS). I received my PhD in Biomedical Science from the University of Ulsan College of Medicine, Seoul, Korea. During my five-year M.S. and Ph.D. studies, I was focused on understanding the role of common genetic variations on the risk of inflammatory bowel disease (IBD). I led the analysis to identify common variants associated with IBD using genome-wide association study and established an expression quantitative trait locus database using RNA sequencing data to determine the most functionally relevant risk genes for IBD.<\/p>\n I’m passionate about using programming languages and statistical methods to identify genetic variants associated with complex diseases. I’m also excited to be a part of the growing field of artificial intelligence. I’m always eager to learn new things. My academic goal is to be a principal investigator at school or research institute.<\/p>\n <\/p>\n Education:<\/strong><\/p>\n <\/p>\n Publications:<\/strong><\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Projects Section” module_id=”projects” module_class=”projects-section” _builder_version=”4.16″ _module_preset=”default” background_color=”#f9f9f9″ background_image=”https:\/\/labs.icahn.mssm.edu\/mahjanilab\/wp-content\/uploads\/sites\/458\/2023\/03\/vector-feb-2021-83_generated.jpg” parallax=”on” parallax_method=”off” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Title” _builder_version=”4.16″ _module_preset=”default” text_font=”Open Sans|600|||||||” text_text_color=”#0C71C3″ text_font_size=”22px” text_line_height=”1.8em” global_colors_info=”{}”]<\/p>\n Research Projects<\/strong><\/span><\/p>\n [\/et_pb_text][et_pb_accordion _builder_version=”4.16″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”0px” box_shadow_style=”preset3″ global_colors_info=”{}”][et_pb_accordion_item title=”Understanding the role of rare genetic variations on the risk of obsessive-compulsive disorder (OCD) ” open=”on” open_toggle_text_color=”#000000″ open_toggle_background_color=”#FFFFFF” closed_toggle_background_color=”#FFFFFF” icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.16″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”0px” box_shadow_style=”preset3″ global_colors_info=”{}” toggle_text_color=”#000000″ toggle_font=”Open Sans||||||||”]<\/p>\n This project aims to analyze rare deleterious genetic variations in risk for OCD using whole exome sequencing data. We carried out mapping, variant calling, quality control and association test using de novo and rare case-control variants. In our preliminary result, we found risk genes for OCD with significant false discovery rate, suggesting that de novo and rare coding variants contribute to genetic risk in individuals with OCD.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Understanding the genetic factors that contribute to the disease-specific characteristics” open_toggle_text_color=”#000000″ open_toggle_background_color=”#FFFFFF” closed_toggle_background_color=”#FFFFFF” icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.16″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”0px” box_shadow_style=”preset3″ global_colors_info=”{}” toggle_text_color=”#000000″ toggle_font=”Open Sans||||||||” open=”off”]<\/p>\n Crohn\u2019s disease (CD) and ulcerative colitis (UC) are the two main forms of inflammatory bowel disease (IBD). Although these two forms of IBD share similar clinical and pathological features, there are differences in the disease localization, histopathology, and endoscopic features, suggesting differences in the underlying pathogenic mechanisms of each disease. Understanding the genetic factors that contribute to the disease-specific characteristics is crucial for improving diagnosis and treatment. We performed genome-wide association studies (GWASs) of CD and UC, estimated the proportion of variance explained in CD\u2013UC status and compared the findings to identify genetic loci with divergent effects on CD and UC. In total, we identified 9 genetic loci with divergent effects on CD and UC. Based on polygenic risk score analysis (PRS), we calculated the area under the receiver operating characteristic curve value based on the PRS was 0.74, supporting that the PRS analysis using the CD\u2013UC GWAS has potential to support clinical diagnosis of CD and UC.<\/p>\n Jung S<\/strong>, Kim Y, Park D, Lee Y, Park S, Baek J, Hwang SW, Park SH, Yang SK, Ye BD, Han B, Song K, Lee HS. Case-case genome-wide association analysis identifying genetic loci with divergent effects on Crohn\u2019s disease and ulcerative colitis. Hum Mol Genet. 2023. https:\/\/doi.org\/10.1093\/hmg\/ddac241<\/a>.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Comparison of the genetic architecture of autoimmune and infectious disease” open_toggle_text_color=”#000000″ open_toggle_background_color=”#FFFFFF” closed_toggle_background_color=”#FFFFFF” icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.16″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”0px” box_shadow_style=”preset3″ global_colors_info=”{}” toggle_text_color=”#000000″ toggle_font=”Open Sans||||||||” open=”off”]<\/p>\n Multiple GWASs have suggested that Crohn\u2019s disease (CD) and leprosy might share a common underlying genetic susceptibility. To identify shared susceptibility loci between two diseases in Asians, we first performed a meta-analysis using GWASs of CD in Koreans and leprosy in Chinese populations, and genetic correlation, and pathway analysis. Using these approaches, we identified a novel risk gene for both CD and leprosy, a significant negative genetic correlation, and response to interleukin-18 and regulation of T-helper 1 type immune response as key shared pathways involved in disease pathogenesis.<\/p>\n Jung S<\/strong>, Park D, Lee HS, Kim Y, Baek J, Hwang SW, Park SH, Yang SK, Ye BD, Han B, Sun Y, Liu H, Zhang F, Liu J, Song K. Identification of shared loci associated with both Crohn\u2019s disease and leprosy in East Asians. Hum Mol Genet. 2022. https:\/\/doi.org\/10.1093\/hmg\/ddac101<\/a>.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”The role of common genetic variations on the risk of inflammatory bowel disease (IBD)” open_toggle_text_color=”#000000″ open_toggle_background_color=”#FFFFFF” closed_toggle_background_color=”#FFFFFF” icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.16″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”0px” box_shadow_style=”preset3″ global_colors_info=”{}” toggle_text_color=”#000000″ toggle_font=”Open Sans||||||||” open=”off”]<\/p>\n Large-scale studies on populations of European ancestry have greatly advanced the understanding of IBD-related genetics. Despite the differences in the clinical characteristics of IBD among different ethnicities, the number of studies on non-European populations is limited. To identify novel genetic common variants associated with IBD in Asians, we conducted a GWAS meta-analysis, a recent largest-to-date Asian-specific GWAS of IBD and identified 3 novel susceptibility loci at the genome-wide significance level. Of the 3 novel loci, one novel locus was not replicated in the European data, suggesting the presence of population-specific IBD susceptibility loci.<\/p>\n Jung S<\/strong>, Ye BD, Lee HS, Baek J, Kim G, Park D, Park SH, Yang SK, Han B, Liu J, Song K. Identification of Three Novel Susceptibility Loci for Inflammatory Bowel Disease in Koreans in an Extended Genome-Wide Association Study. J Crohns Colitis. 2021. https:\/\/doi.org\/10.1093\/ecco-jcc\/jjab060<\/a>.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Integration of GWAS and expression quantitative trait locus (eQTL) study” open_toggle_text_color=”#000000″ open_toggle_background_color=”#FFFFFF” closed_toggle_background_color=”#FFFFFF” icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.16″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”0px” box_shadow_style=”preset3″ global_colors_info=”{}” toggle_text_color=”#000000″ toggle_font=”Open Sans||||||||” open=”off”]<\/p>\n The most recent GWAS on Asian patients with Crohn\u2019s disease (CD) has reported over 20 susceptibility loci, however, there is limited research on integrating genetic variants and eQTL analyses for fine-mapping. To determine the most functionally relevant genes at the genetic loci related to CD in Asians, we established a whole blood eQTL database (http:\/\/asan.crohneqtl.com\/) from Korean patients with CD and identified 2 target genes based on colocalization analyses using GWAS and eQTL data. Colocalization using the Genotype-Tissue Expression project did not identify one of those target genes, indicating that population-specific eQTL effects exist. Therefore, this eQTL database data highlight the utility of building a population-specific data set, even of modest sample size.<\/p>\n Jung S<\/strong>, Liu W, Baek J, Moon JW, Ye BD, Lee HS, Park SH, Yang SK, Han B, Liu J, Song K. Expression Quantitative Trait Loci (eQTL) Mapping in Korean Patients With Crohn’s Disease and Identification of Potential Causal Genes Through Integration With Disease Associations. Front Genet. 2020. https:\/\/doi.org\/10.3389\/fgene.2020.00486<\/a>.<\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Seulgi Jung, PhD Postdoctoral FellowEmail: seulgi.jung@mssm.edu I\u2019m Seulgi, a postdoctoral fellow at Dr. Joseph Buxbaum, Dr. Dorothy Grice, and Dr. Behrang Mahjani labs at the Department of Psychiatry at the Icahn School of Medicine at Mount Sinai (ISMMS). I received my PhD in Biomedical Science from the University of Ulsan College of Medicine, Seoul, Korea. 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Email: seulgi.jung@mssm.edu<\/a><\/p>\n\n
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