このポッドキャストについて 🔗
Exploring the fascinating world of genetics and its impact on human health! We break down complex science topics like DNA, genome wide association studies, CRISPR gene editing, and epigenetics into accessible conversations. Join us for weekly episodes covering cutting-edge biology research and how your genome shapes your health. Subscribe for the latest genetic discoveries explained simply!
ホスト:
更新頻度:
bimonthly
平均音声長:
49 minutes
ゲストインタビュー
スポンサーがいる
英語
アメリカ合衆国
17 エピソード
2023年3月24日から
episodic
最新エピソード 🔗
The Duffy antigen gene (DARC) mutation and GATA1 transcription factor binding site explain how a single T-46C promoter variant causes the Duffy-negative blood type and natural resistance to Plasmodium vivax malaria.
Paper discussed in the video:
Disruption of a GATA motif in the Duffy gene promote…
以前のエピソード 🔗
Rs12936231, one tiny DNA switch on chromosome 17 raises your risk of asthma, type 1 diabetes, and 3 other autoimmune diseases at once. We trace the real biobank data live and reveal how a weakened CTCF boundary explains it all.
Paper discussed in the video:
Allele-Specific Chromatin Remodeling in …
A single DNA letter (rs55705857) makes Finns 6x more likely to get brain cancer. We trace it live from FinnGen PheWAS to AlphaFold to reveal how it hijacks the MYC oncogene.
Paper discussed in the video:
A noncoding single-nucleotide polymorphism at 8q24 drives IDH1-mutant glioma formation https://…
In this deep dive, we break down the journey of the PIM Kinase target. We explore the complex PIM1 molecular mechanism, examine why first-generation pan-PIM inhibitors like AZD-1208 faced safety issues and a lack of monotherapy efficacy, and reveal the final clinical verdict of the Terminated and C…
Disclaimer: This video is for educational purposes only and should not be used for medical diagnosis or treatment decisions. Always consult with healthcare professionals for medical advice.
In this episode, we explore the association between the PEAR1 gene and various platelet disorders. Using data…
KGWAS is a novel geometric deep learning method that leverages a massive functional knowledge graph across variants and genes to significantly improve detection power in small-cohort GWASs. Thank you, Kexin Huang and Martin Jinye Zhang, for joining me on this one.Preprint:https://www.medrxiv.org/co…
This podcast was made possible by CIUT-FM 89.5, University of Toronto Community Radio. For more content visit https://ciut.fm/
Link to the paper:
https://www.nature.com/articles/s41586-025-08916-0
Join me in a conversation with two of the authors, Lakshmi Mahendrawada and Steven Hahn.
This podcast was made possible by CIUT-FM 89.5, University of Toronto Community Radio. For more content, visit https://ciut.fm/
Join us for this comprehensive masterclass episode as we explore the fascinating world of K562 cells with Dr. Tom Karagiannis, who has worked with these remarkable cells …
Dr. Andrew Paterson is a Senior Scientist in Genetics & Genome Biology at SickKids and a Professor at the Dalla Lana School of Public Health, University of Toronto. His work focuses on uncovering the genetic basis of diabetes and its complications.
In this episode, we discuss the real promise—a…
If you’ve ever analyzed sequencing data, chances are you’ve used tools developed by Phil Ewels—whether you knew it or not. He’s the creator of MultiQC, a key developer behind Nextflow and nf-core, and a major advocate for making bioinformatics workflows scalable, reproducible, and user-friendly.
In…
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