제목	2020년 10월 21일 생물정보학 세미나
작성자	관리자	작성일	2020-10-15
서울대학교 생물정보학 협동과정 주최로 세미나를 아래와 같이 열고자 하오니 많은 참여 바랍니다. 세미나는 Zoom을 통한 온라인 강의로 예정되어 있으며 강의에 참여하고자 하시는 분께서는　mari911@snu.ac.kr로 메일 주시면 강의 링크 전달드리도록 하겠습니다.　 일시:　　2020년 10월 21일　수요일 오전 11시 연사:　　김영진 연사님　(국립보건연구원 미래의료연구부 유전체연구기술개발과) Title:　Genomic landscape of Type 2 Diabetes in East Asians Abstract Type 2 diabetes (T2D) is a common metabolic disease that is primarily caused by insufficient insulin production and/or secretion by the pancreatic ß cells, and insulin resistance in peripheral tissues. To date, several genome-wide association studies (GWAS) have revealed hundreds of T2D associated loci analyzing nearly one million individuals. However, most genetic loci associated with T2D have been identified in European populations (EUR). These European biased results may result in reduced accuracy in predicting T2D for non-Europeans. The relative contributions of different pathways to the pathophysiology of T2D may also differ between ancestry groups. For example, the prevalence of T2D is greater in East Asians (EAS) populations than in EUR among people of similar body mass index (BMI) or waist circumference. To identify new genetic associations and provide insight into the pathogenesis of T2D, we conducted the largest meta- analysis of T2D data analyzing 433,540 East Asian individuals (77,418 T2D cases and 356,122 healthy controls) from 3 biobanks and 20 different cohorts. As a result, 301 distinct association signals at 183 loci were discovered. Among them, 61 loci were newly implicated in predisposition to T2D. Common variants associated with T2D in both EAS and EUR exhibited strongly correlated effect sizes. When T2D genetic risk scores using discovered variants employed to access the prevalence of T2D in Koreans, genetically high risk group showed several times higher prevalence compared to those of median group. The results of our study implicate that association studies in diverse populations would provide additional loci and elucidate disease associated genes, biology, and pathways.