Xianyong Yin
@XianyongYin
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Statistical Genetics, genetic epidemiology, University of Michigan
Ann Arbor, MI
Joined September 2014
If you want to know more about the background to the @uk_biobank Pharma #Proteomics Project (UKB PPP), listen to the latest @OlinkProteomics PodCast by @taylorlawley @DaleYuzuki @Chlamydas, featuring UKB PPP project leader @chrisdwhelan ... what a feat! https://t.co/Aw4jXi78jH
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Explaining Markov Chain Monte Carlo (MCMC) to a Layperson 1/ 🧐 Introduction Ever wonder how scientists make educated guesses about complex things, like predicting the weather or understanding the spread of a disease? They often use a method called MCMC. Let's break it down!
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What an exciting week for ITG as our Comment on the use of WGS for human complex traits together with @EleZeggini and @cristenw is out in @NatureComms ! https://t.co/YG5olfJvpM
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Multi-layered genetic approaches to identify approved drug targets
cell.com
Sadler et al. compared and benchmarked genetically informed approaches combined with network diffusion to prioritize drug target genes. Gene prioritization methods were based on large-scale genetic...
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A major adverse effect of statins is myopathy (known since 1980). Now genetics have shed light on this association. Two independent teams have recently discovered that recessive mutations in HMGCR cause a severe form of muscular disease in humans. A 🧵 for genetics lovers.
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Phenomics | The latest article identified #immune factors influencing the most through #ageing and built a #model for immune-ageing #predictions. For details please see: https://t.co/amsJfUTNBK
#network #human #population #Health #disease #MachineLearning @SpringerNature
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Fudan @FudanUniv International #Summer #school of Life Sciences is open now for #application! The summer school is #free of tuition and provides free meals for school activities. The details can be see: https://t.co/3fzrQIpwVD.
#student #university #biology
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#Phenomics is offering an exciting opportunity for distinguished young scholars to join as #YouthEditorialBoard members, recruited through self-recommendation and selection by the Editorial Board. #Springer @SpringerNature Check out our official website or scan the QR code for
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I have written 300+ peer-reviewed scientific papers in the last 15 years with more than 27,000 citations. Here is how I use sentence templates to write abstracts at lightning speed. ↓ @acm_chi @academicvoices @PhDVoice @PhD_Genie #AcademicTwitter #AcademicChatter #phdlife
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Online now! Integrative analyses from Yin et al. uncover molecular mechanisms that underlie metabolic disease risk https://t.co/5FmkHnKLzV
cell.com
We integrated transcriptomics data for 49 human tissues, metabolomics data for 1,391 metabolites, and genome-wide association studies for 2,861 diseases. We identified 397 genes for 521 metabolites...
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Our large-scale bulk transcriptome study of SLE is now online at @CellCellPress! Undoubtedly, scRNA-seq will be the mainstream of transcriptomics from now on, but it is important to recognize its current limitation. Bulk studies still have the potential to reveal new biology!
Now online! Distinct transcriptome architectures underlying lupus establishment and exacerbation
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Novel genetic associations in #lupus uncovered ▶️how? TWAS: combined GWAS +six-specific immune cell types ▶️276 candidate disease genes in 110 SLE loci (104 genes in novel loci) ▶️allele-specific regulatory effect on ACAP1 mediates SLE susceptibility 🔗 https://t.co/5FMmh3wywL
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Glad our paper is highlighted by IGES @genepisociety. Thanks to collaborators @Eric_Fauman @klmohlke and many others not on twitter
The IGES paper highlight for March 2022 is by Yin et al. They report 303 new genetic associations with 1391 circulating metabolites in 6136 Finnish men. They demonstrate that metabolite genetic associations can help elucidate disease mechanisms https://t.co/wZneTLpcf0
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It is my privilege to work with Mike Boehnke, Markku Laakso, Eric Fauman @Eric_Fauman, William Wen @WenXqwen, Karen Mohlke @klmohlke, Laura Scott, and many others on this exciting work. Thanks Peter VandeHaar @pjvandehaar for creating PheWeb https://t.co/dlTlvpOttS.
Yin et al. find new genetic loci associated with 1391 circulating metabolites in 6136 Finnish men, demonstrating that metabolite genetic associations can help elucidate disease mechanisms https://t.co/Zb5EbWwElS
@XianyongYin
@Eric_Fauman
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Yin et al. find new genetic loci associated with 1391 circulating metabolites in 6136 Finnish men, demonstrating that metabolite genetic associations can help elucidate disease mechanisms https://t.co/Zb5EbWwElS
@XianyongYin
@Eric_Fauman
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@chrishlad Here's an infographic that summarizes this thread on Google search from @chrishlad.
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Thrilled to share our work with Michael Boehnke, Markku Laakso, Eric Fauman @Eric_Fauman, and many others on metabolomics genetics in METSIM study. More on Eric’s thread.
Great work from @XianyongYin, Markku Laakso, Michael Boehnke and many others. "Genome-wide association study of 1,391 plasma metabolites in 6,136 Finnish men identifies 303 novel signals and provides biological insights into human diseases"
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This is really great. Always enjoy Eric’s story.
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