Xin Wang

Nature research paper: Timing and trajectory of BCR::ABL1-driven chronic myeloid leukaemia go.nature.com/4cwdrBS

Very happy and excited to announce that I'll be starting my own research group at @emblebi! The group will focus on lineage tracing, somatic evolution and the origins of cancer. Interested in doing a postdoc in the group or know someone who is? Please reach out!

Excited to share our recent work on cross-biobank and pan-ancestry genetic analyses of rare variants for human disease 🧬 published last week in @NatureGenet @xxinxwang @patrick_ellinor Link: nature.com/articles/s4158…

Nature Genetics: Rare coding variant analysis for human diseases across biobanks and ancestries nature.com/articles/s4158… (free: rdcu.be/dSlEf)

#Onthisday 30 years ago, the Sanger Institute opened its doors and started up its sequencing machines to begin working on the Human Genome Project. ⌛️ For #Sangers30th, take a look back at what we have achieved since then ⤵️ sangerinstitute.blog/2023/10/04/30-…

New online from @xxinxwang @steven_lubitz + team: Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms ahajournals.org/doi/10.1161/CI… @AHAScience #AHAjournals #CardioTwitter #Genetics 📽️ Video abstract to be posted soon!

#ACC23 YIA / @JACCJournals #JACCHF SimPub Problem: ICD codes defining clinical events in EHR / biobanks can be inaccurate We trained/validated a natural language processing model to adjudicate HF hospitalization from d/c summary text jacc.org/doi/10.1016/j.… 🧵

A timeless model for writing a good research summary.

@JurgensSean talking about how sequencing helps us to understand atrial fibrillation with more than 50k cases #AHA2022 @patrick_ellinor @jpirruccello @broadinstitute

Great work by @ShinoKany presenting genetic substudy of EAST trial this evening at #AHA22 @MGHHeartHealth @broadinstitute

#ASHG22 Applications of Individual-level Imputed Transcriptomes in the @uk_biobank by Xin Wang from @broadinstitute working with @steven_lubitz and @patrick_ellinor

5 websites for drawing scientific figures: 👇 🧵

Better together. International collaboration gave us the most powerful space telescope ever made, and the deepest infrared views of the universe ever seen. With our partners at @ESA and @CSA_ASC, the science can begin. Together we #UnfoldTheUniverse: go.nasa.gov/3azyGqM

Proud to get this work out into the world! Thanks to everyone who made this possible: @shaan_khurshid @xxinxwang @RVpacing @DPipilasMD @JeffAshburner @patrick_ellinor Daniel Singer @satlas60 @steven_lubitz

Perceptions of #dog breed temperments are ingrained in our culture. Breed #stereotypes play out in dog parks, show up in city ordinances & leases, are celebrated at dog shows, and infuse Hollywood movies... but what if I told you dog temperment doesn't work like that? 1/n

Our Community Care Cohort Project (C3PO) paper is out in @npjDigitalMed! C3PO is an #EHR cohort of >500K primary care pts at @MassGenBrigham, a powerful resource for #health & #ML research. @broadinstitute @broad_ml4h Link: go.nature.com/3KqL4pH OG🧵: bit.ly/3juiqYM

NEWS 🎉: All of Us has released its first genomic dataset, which includes whole genome sequences from nearly 100K participants, in addition to genotyping arrays on 165K participants from diverse backgrounds. #Researchers, learn more: bit.ly/3N1vEtO #ResearchAllofUs

Future work is needed to determine whether these findings have any implications for personalization of therapy. Grateful to @uk_biobank participants and @MassGeneralBrigham patients!👭

Overall, ECG-AI prediction of #AFib is influenced by genetic susceptibility to the arrhythmia. #deeplearning models using raw physiologic data might be able to detect individuals at risk for disease via specific pathways, serving as digital biomarkers.

Excited to share our new work examining a #deeplearning model for predicting #AFib from #ECGs. Here we find that predicted risk of #AFib from the #deeplearning model is influenced by genetic predisposition to AF. @ml4h, @MGHHeartHealth, @steven_lubitz Link bit.ly/3GbIQHP