ResearchBIORXIVApr 17
Preprint: The results of Transcriptome-wide Mendelian Randomization (TWMR) in large-scale populations can directly validate, across scales, the results of causal inference from deep learning combined with double machine learning on single-cell transcriptomes of human samples.
Scientists are testing a new way to understand how genes cause diseases by combining two different research methods: one that studies genes in large groups of people, and another that looks at individual cells in the lab. This study checks whether both methods give the same answers, which would help researchers trust their findings more and move treatments from the lab to real patients faster.
WHY IT MATTERSIf validated, this approach could accelerate how researchers identify disease-causing genes in rheumatologic conditions, potentially leading to faster development of targeted treatments for patients with autoimmune and inflammatory diseases.
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