Luke O’Connor Assistant Professor of Biomedical Informatics, HMS Associate Member, Broad Institute Graphical models of linkage disequilibrium and applications Linkage disequilibrium graphical models (LDGMs) are an efficient new approach to model LD, with promising applications in GWAS. They give rise to a very sparse precision matrix whose inverse closely approximates the LD correlation matrix. My … Continue reading "PQG Seminar"
Rongbin Zheng Research Fellow in Pediatrics Boston Children’s Hospital Computational Models on Metabolite-mediated Intercellular Communication We developed MEBOCOST, a computational algorithm for quantitatively inferring metabolite-based intercellular communications using single cell RNA-seq data. MEBOCOST predicted cell-cell communication events for which metabolites, such as lipids, are secreted by one cell (sender cells) and traveled to interact with … Continue reading "PQG Working Group"
Jinghui Zhang Endowed Chair in Bioinformatics St. Jude Children’s Research Hospital Therapy-related clonal evolution driven by mutations and structural alterations of pediatric cancers and long-term survivors
Eric Van Buren Postdoctoral Fellow in Biostatistics & Statistical Genetics Harvard T.H. Chan School of Public Health cellSTAAR: Incorporating single-cell-sequencing-based functional data to boost power in rare variant association testing … Continue reading "PQG Seminar"
Shamil Sunyaev Professor of Biomedical Informatics, Harvard Medical School Professor of Medicine, Brigham and Women’s Hospital The puzzling variation of complex traits
Kaia Mattioli Postdoctoral Research Fellow Brigham and Women’s Hospital Widespread variation in molecular interactions and regulatory properties among transcription factor isoforms Transcription factors (TFs) control gene expression by interacting with DNA and cofactors to regulate transcription. Human TF genes produce multiple protein isoforms with altered DNA binding domains, effector domains, and other protein regions. The … Continue reading "PQG Working Group"
Xiang Zhou Professor of Biostatistics University of Michigan Statistical methods for fine-mapping analysis in genome-wide association studies Genome-wide association studies (GWAS) have identified many SNPs associated with common diseases and disease-relevant complex traits. However, the precise underlying causal signals and molecular mechanisms underlying these associations remain largely unknown. Here, I will discuss a few statistical … Continue reading "PQG Seminar"
Kodi Taraszka Research Fellow in Medicine Dana-Farber Cancer Institute COX proportional hazards Mixed Model (COXMM) accurately estimates the heritability of time-to-event traits With large biobanks connecting electronic health records with … Continue reading "PQG Student and Postdoc Seminar"
Ruben Dries Assistant Professor, Medicine Boston University Towards Solutions for Large-Scale Multi-Modal Spatial Data Analysis In the burgeoning field of spatial biology, the integration of multi-modal spatial omics technologies presents both a formidable challenge and a tremendous opportunity for advancing clinical research and diagnostics. I will discuss the concerted efforts of our laboratory to address … Continue reading "PQG Seminar"
Seunggeun 'Shawn' Lee Adjunct Professor, Biostatistics University of Michigan Rare variant association analysis Rare variants significantly impact complex diseases. This presentation will first introduce SAIGE-GENE and SAIGE-GENE+, methodologies extending SAIGE … Continue reading "PQG Seminar"
