삼성융합의과학원 - 삼성융합의과학원

  • 부교수 유전체학, 생물정보학
  • 원홍희
    Lab 유전체 및 디지털헬스 연구실

관심분야

본 연구실은 생물정보학, 통계학, 기계학습 등의 다양한 기법을 적용하여 대규모 유전체 데이터와 EMR로부터 추출한 임상 데이터를 연계하여 다양한 인간 질환의 원인이 되는 유전 변이 및 유전자를 발굴함. 또한, 환자의 유전 프로파일 및 건강 프로파일을 통합하여 질병을 조기에 탐지하고, 예방하며, 맞춤화된 치료를 제안할 수 있는 시스템을 개발함. 본 연구실은 유전체학, 생물정보학, 데이터분석 분야에서 Nature, New England Journal of Medicine, JAMA, JACC, Eur Heart J, Nature Genetics에 연구 결과를 발표하였고, 80편 이상의 국제논문을 출판함.

학력

  • (Ph.D.) 2007 - 2011 공학박사, KAIST 바이오및뇌공학과

약력/경력

  • 2004 - 2012 연구원, 삼성생명과학연구소
  • 2012 - 2015 Research Fellow, Massachusetts General Hospital, Broad Institute, Harvard Medical School
  • 2016 - 2020 조교수, 삼성서울병원 삼성미래의학연구원
  • 2016 - 2020 조교수, 성균관대학교 삼성융합의과학원

학술지 논문

  • (2024)  Genome-wide association analyses using machine learning-based phenotyping reveal genetic architecture of occupational creativity and overlap with psychiatric disorders.  PSYCHIATRY RESEARCH.  333,  1
  • (2024)  Shared genetic architectures of educational attainment in East Asian and European populations.  NATURE HUMAN BEHAVIOUR.  8,  3
  • (2023)  Prioritization of therapeutic targets for dyslipidemia using integrative multi-omics and multi-trait analysis.  CELL REPORTS MEDICINE.  4,  9
  • (2023)  An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses.  BMC MEDICINE.  21,  1
  • (2023)  Leveraging genetic overlap between irritability and psychiatric disorders to identify genetic variants of major psychiatric disorders.  EXPERIMENTAL AND MOLECULAR MEDICINE.  55,  6
  • (2023)  ICD2Vec: Mathematical representation of diseases.  JOURNAL OF BIOMEDICAL INFORMATICS.  141, 
  • (2023)  Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction.  NPJ DIGITAL MEDICINE.  6,  14
  • (2022)  Transferability of Alzheimer Disease Polygenic Risk Score Across Populations and Its Association With Alzheimer Disease-Related Phenotypes.  JAMA NETWORK OPEN.  5,  12
  • (2022)  Polygenic risk for type 2 diabetes, lifestyle, metabolic health, and cardiovascular disease: a prospective UK Biobank study.  CARDIOVASCULAR DIABETOLOGY.  21,  1
  • (2022)  Shared genetic architectures of subjective well-being in East Asian and European ancestry populations.  NATURE HUMAN BEHAVIOUR.  6,  7
  • (2022)  Improving polygenic prediction in ancestrally diverse populations.  NATURE GENETICS.  54,  5
  • (2021)  Genome-wide association study of occupational attainment as a proxy for cognitive reserve.  BRAIN.  145,  4
  • (2021)  Association between adiposity and cardiovascular outcomes: an umbrella review and meta-analysis of observational and Mendelian randomization studies.  EUROPEAN HEART JOURNAL.  42,  34
  • (2021)  Comprehensive characterization of distinct genetic alterations in metastatic breast cancer across various metastatic sites.  NPJ BREAST CANCER.  7,  1
  • (2021)  Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology.  NATURE GENETICS.  53,  6
  • (2021)  GWAS Analysis of 17,019 Korean Women Identifies the Variants Associated with Facial Pigmented Spots.  JOURNAL OF INVESTIGATIVE DERMATOLOGY.  141,  3
  • (2020)  Tissue-specific genetic features inform prediction of drug side effects in clinical trials.  SCIENCE ADVANCES.  6,  37
  • (2019)  No causal effects of serum urate levels on the risk of chronic kidney disease: A Mendelian randomization study.  PLOS MEDICINE.  16,  1
  • (2017)  Protein-Truncating Variants at the Cholesteryl Ester Transfer Protein Gene and Risk for Coronary Heart Disease.  CIRCULATION RESEARCH.  121,  1
  • (2017)  Human knockouts and phenotypic analysis in a cohort with a high rate of consanguinity.  NATURE.  544,  7649

수상/공훈

  • 2015-2016 미국심장협회, Founders Affiliate Postdoctoral Fellowship
  • 2015 뉴잉글랜드 생명과학협회, NEBS Alumni in Korea Research Fellow Award
  • 2015 메사추세츠 종합병원, Center for Human Genetic Research, Trainee Winner for the Best Paper
  • 2008-2011 삼성생명과학연구소 연구장려상
  • 2003 IEEE Neural Networks Society, Student Travel Grant