서울대학교 생물정보연구소와 생물정보학 협동과정 공동 주최로 특별 세미나를 아래와 같이 열고자 하오니, 많은 참여 바랍니다.

일시: 2016년 11월 02일 수요일 오전 11시

연사: 한 범 (울산의대/서울아산병원)

장소: 서울대학교 25동 411호

Title

Statistical methods for analyzing large-scale genomic data: subgroup heterogeneity and HLA imputation

Abstract

In this talk, I introduce statistical approaches designed for analyzing large-scale genomic data. First, I present a method to decipher pleiotropy (shared genetic structure between diseases) to identify unknown subgroup within a cohort that is genetically similar to other diseases (Nature Genetics 2016). When we applied this approach to the seronegative rheumatoid arthritis (RA) data, we identified that about 30% of patients have similar genetic characteristics to seropositive RA. Second, I present a method to impute HLA alleles based on SNP data. The imputation provides sufficient accuracy for association testing, and recently Korean reference panel became available. When we applied this approach to fine-map HLA in seronegative RA and psoriatic arthritis, we identified that amino acid positions play key roles in HLA architecture of these diseases (AJHG 2014).

Educational Experience

2004 B.S., Seoul National University (Electrical Engineering)

2007 M.S., University of California, San Diego (Computer Science (Bioinformatics))

2009 Ph.D., University of California, San Diego (Computer Science (Bioinformatics))

2010-2012 Post-doc research fellow, University of California, Los Angeles

2012-2013 Post-doc research fellow, Brigham and Women’s Hospital / Harvard Medical School

Professional Experience

2013-2014 Instructor, Harvard Medical School

2014- Assistant Professor, Asan Medical Center / Univ. of Ulsan College of Medicine

Selected Publications

1. Buhm Han*, Jennie G Pouget*, Kamil Slowikowski, Eli Stahl, Cue Hyunkyu Lee, Dorothee Diogo, Xinli Hu, Yu Rang Park, Eunji Kim, Peter K Gregersen, Solbritt Rantap狎 Dahlqvist, Jane Worthington, Javier Martin, Steve Eyre, Lars Klareskog, Tom Huizinga, Wei-Min Chen, Suna Onengut-Gumuscu, Stephen S Rich, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Naomi R Wray, Soumya Raychaudhuri. “A method to decipher pleiotropy by detecting underlying heterogeneity driven by hidden subgroups applied to autoimmune and neuropsychiatric diseases.” Nature Genetics. 48(7):803-10. 2016.

2. Jong Wha J. Joo, Farhad Hormozdiari, Buhm Han, Eleazar Eskin. “Multiple testing correction in linear mixed models.” Genome Biology. 17(1):62, 2016.

3. Jae Hoon Sul, Towfique Raj, Simone de Jong, Paul IW de Bakker, Soumya Raychaudhuri, Roel A Ophoff, Barbara E Stranger, Eleazar Eskin, Buhm Han. "Accurate and Fast Multiple-Testing Correction in eQTL Studies." The American Journal of Human Genetics. 96(6):857-868. 2015.

4. Buhm Han, Dorothee Diogo, Steve Eyre, Henrik Kallberg, Alexandra Zhernakova, John Bowes, Leonid Padyukov, Yukinori Okada, Miguel A. Gonzalez-Gay, Solbritt Rantapaa-Dahlqvist, Javier Martin, Tom W J Huzinga, Robert Plenge, Jane Worthington, Peter K. Gregersen, Lars Klareskog, Paul I. W. de Bakker, Soumya Raychaudhuri. "Fine-mapping seronegative and seropositive rheumatoid arthritis to shared and distinct HLA alleles by adjusting for the effects of heterogeneity." The American Journal of Human Genetics. 94(4):522-523. 2014.

5. Buhm Han, Eleazar Eskin. "Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies." The American Journal of Human Genetics. 88(5):586-598, 2011.

서울대학교 생물정보연구소

생물정보학 협동과정 공동주최