Dan Western
@DanWestern2
Graduate of @UWMadisonCALS, PhD student studying genomics of Alzheimer's disease @WUSTLdbbs, Wisconsin sports fan
I'd like to share our new lab publication @ccrugom on an atlas of CSF and brain metabolite quantitative trait loci. Special thanks to the mentorship of Carlos, and the instrumental contributions from both @chengran2020 and @DanWestern2. nature.com/articles/s4158…
Integrating GWAS and protein quantitative trait loci, scientists link 38 proteins to Alzheimer’s, 24 of them new. @WUSTL @NatureGenet @ccrugom ow.ly/hX7O50UoJTE
Great work by @DrShen_Yy and many others to characterize the early protein changes in autosomal dominant AD. So glad I could play a part in a wonderful publication!
Excited to share the latest paper from the lab, published today @CellCellPress "CSF proteomics identifies early changes in autosomal dominant Alzheimer’s disease". We identified proteins that capture disease changes 15-20 years before clinical symptoms cell.com/cell/fulltext/…
We leverage human multi-omic data to identify causal and druggable targets and to create novel predictive models for #Alzheimers . Come to use the four talks and four posters at the #AAIC24. neurogenomics.wustl.edu/the-neurogenom…. @WUADRC @Neuro_Genomics @WashUNeurology
Great representation from the lab #ASHG2023 @GeneticsSociety. Largest Early Onset #Alzheimer GWAS, and a lot of data from our multi-tissue, multi-omics QTL in diverse populations and its applications to complex traits by J. Bradley, @DanWestern2 , @CiyangWang and @chengran2020
Great resource from the @ccrugom lab & NGI Center highlighting the research of many people, including myself!
Go and check out our new PheWeb with more than 26,000 molecular phenotypes, that includes multiple tissues (brain, CSF, plasma), multiple omics modalities (proteomics, metabolomics, lipidomics) and in multiple populations: NWH and AA ontime.wustl.edu @cziscience @WUADRC
@DanWestern2 presenting his very large CSF pQTL analyses identifying more than 3,000 association, most novel. He integrated the pQTL data to identify 42 causal and druggable targets for #Alzheimers . #ADPD2023