Top Tweets for #Topmed
Is your operating room reaching its full potential?
Smarter scheduling and capacity use can boost profitability and quality of care.
Watch our CEO explain how: https://t.co/b8SmCeKYNd
#Topmed #HealthcareManagement
The operating room is not just a clinical service; it is one of the biggest drivers of hospital profitability.
Better utilization means stronger financial performance and better care.
Get in touch: [email protected] | https://t.co/uDFozaokeP
#Healthcare #HospitalOperations
Excited to attend the first day of my first #PMWC2026 meeting happening this week in the Silicon Valley. Four+ tracks and many aspects of #precisionmedicine and #ArtificialIntelligence to absorb and learn. Tomorrow will represent the #NHLBI #TopMed program.
📣New from Wang et al!
📄Genetic architecture and analysis practices of circulating metabolites in the NHLBI Trans-Omics for Precision Medicine Program
#TOPMed
https://t.co/dkvo8VENaR
Miguel Guardado @UCSF_Epibiostat, is discussing how to discover rare & diverse #geneticvariants, and ##ROH (run of homozygosity) on X chromosomes in the population-diverse #TOPMed database #ASHG2024 #ASHG24
It’s happening in one hour ! @nih_nhlbi #TOPMed 10 yrs Anniversary symposium! Join us if you are @ #ASHG2024 to hear about some of latest #genomics & #MultiOmics finding #ASHG24
#TOPMed is a great resource for #Cardiovascular & #metabolic-related diseases & comorbities #PrecisionMedicine research and scientific discoveries @nih_nhlbi
@MuinJKhoury Check out #TOPMed from @nih_nhlbi for most diverse population #genomic database
@NHLBI_HEARTDir
People with European genetic ancestry represent only a minority of the world’s population, yet they account for more than 90% of participants in large genomics studies. Via @JAMA_current @AllofUsResearch https://t.co/UE6eDGGCiR
@WHIStudy @JHS_HeartStudy (6/X)
Many thanks to @WHIStudy @JHS_HeartStudy @nih_nhlbi #TOPMed, co-lead @artschuermans + co-authors incl @DrPinkalDesai @CBallantyneMD @AlexBickMDPhD @pnatarajanmd Alex Reiner and many others not on Twitter
Full open-access article here: https://t.co/fgcEzzDH2A
Update: GWAS are analyzing an increasingly large number of variants thanks to improvements in SNP imputation (for example using data from #TOPMed). 🧬
https://t.co/KaGUlekVeq
In order to keep up, we have been working on our different software methods to include more data. 📈
After multiple changes, FORGEdb now supports annotation for over 59 million SNPs. Up from 37 million SNPs. FORGEdb is now >50% larger!🎉 #FORGEdb #Genomics #GenomeFunction #ScienceTwitter #epigenomics #Chromatin
FORGEdb is freely available at https://t.co/hEtMlT807f
🧬 Our #ENCODE4 paper is out now @GenomeBiology! Dissecting uncharted regions in our DNA and their influence on our health. 🧬
Dive into the world of disease genetics and genomic "dark matter" with us as we explore our trailblazing new method. Ready? Let’s go! 🚀 🧵 #Genomics #GenomeFunction #ScienceTwitter
https://t.co/TPDujkJJf3 1/
The key to uncovering these events was improving upon our recently developed algorithm for RNA-based CNV detection (Numbat: https://t.co/HmP0e9fmY1), augmenting it with accurate haplotype phasing using the massive #TOPMed population genetics data. (2/7)
Out today in @NatureGenet, just in time for #ASHG23 our work led by @Sasha_Jakubek, @pascheet and #PaulAuer identified causes & consequences of chromosomal scale mosaic alterations in diverse individuals in @nih_nhlbi #TOPMed https://t.co/ozvS4kzXbG
🧬New @AJHGNews
📰Rare variants in long non-coding RNAs are associated with blood lipid levels in the #TOPMed whole-genome sequencing study
🧑🤝🧑@kyleyx_w @pnatarajanmd @XihongLin & colleagues
👇
https://t.co/sXG3Ejuyia
💫New from Araujo et al. in @HGGAdvances
Multivariate adaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations
👉https://t.co/tG5gSvjYUr
#TOPMed
Outstanding work by @Linda_Kachuri & @angelcymak leveraging #TOPMed. Some highlights of the paper:
Highlighting the importance of diverse populations in genetic studies: We identified ancestry-specific variation that controls gene expression and developed improved #TWAS models in a large, diverse cohort in our newest #TOPMed @NatureGenet paper https://t.co/pOlqF9047n
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