Nicholas Mancuso | A Framework for Integrating eQTLs and GWAS Summary Data to Identify Causal Genes Published 2019-10-03 Download video MP4 360p Recommendations 52:44 MPG Primer: Introduction to expression quantitative trait loci (2021) 1:28:41 AG2PI Workshop #4 - A Practical Guide to Genome-Wide Association Studies (GWAS) 37:41 Development and application of polygenic risk scores (PRS) - Eric Boerwinkle 1:21:22 MIT CompBio Lecture 15 - eQTLs 55:40 MPG Primer: GWAS design and interpretation (2016) 31:15 An Ancient Roman Shipwreck May Explain the Universe 1:27:38 Genome-Wide Association Studies - Karen Mohlke (2012) 48:48 Rayan Chikhi | Living in the Future of Genomics | CGSI 2023 31:27 Ben Raphael | Evolutionary Models for Cancer and Lineage Tracing | CGSI 2023 52:13 MPG Primer: Introduction to fine-mapping methods (2020) 56:28 MPG Primer: Heritability and SNP-heritability (2020) 1:17:57 20. Human Genetics, SNPs, and Genome Wide Associate Studies 1:20:22 MIT Deep Learning in Genomics - Lecture 16 - Genetics 1: GWAS, Linkage, Fine-Mapping 08:47 QTl and GWAS 54:45 MPG Primer: Genome-wide association studies: QC, analysis, and interpretation (2012) 14:24 STAT115 Chapter 17.2 GWAS Studies and eQTL Analysis Similar videos 10:38 MCB 182 Lecture 12.9 - Fine-mapping causal variants based on GWAS associations 39:08 Nick Mancuso | Variational Inference for large-scale genomic data 02:28 Expression Data 17:17 Nick Mancuso | Integrative analyses identify susceptibility genes underlying COVID-19 related hosp. 41:02 Sasha Gusev | Tutorial | Understanding GWAS mechanisms with Transcriptome-Wide Association Studies 01:08 joshua 07:04 SNPs and Gene prioritization using summary statistics... - Afeefa Zainab - VarI - Poster - ISMB 2022 03:17 Xiaojun Nie, Northwest A&F University. Genome- and transcriptome-wide association studies reveals... 08:12 Across-cohort QC analyses of GWAS summary statistics from complex traits 23:59 Gene expression + summary statistics = identify genes for 30 complex traits 12:58 2020 STAT115 Lect17.4 GWAS Artifacts and eQTL 22:54 MCB 182 Lecture 12.6 - Confounding factors in GWAS 43:14 William (Xiaoquan) Wen "Bayesian integrative analysis of molecular QTL and GWAS data" 16:21 Multi-omic strategies for transcriptome-wide prediction... - Arjun Bhattacharya - VarI - ISMB 2020 10:47 GWAS Fine-Mapping - Coffee Break 04:22 Genomic Wide Association Study 1:25:16 Webinar #26-Genome-wide Association Study Summary Statistics. Where to find them and how to use them 14:20 SIB Bioinformatics Awards 2019: A TWMR study reveals new loci and extensive pleiotropy More results