Zhongxuan(John) Sun
@SunZhongxuanBiostats PhD student at UW-Madison
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Our paper on misleading biases in AD GWAS-by-proxy is published @NatureGenet We identify the source of biases and explore strategies to reduce them @yy_stat @SunZhongxuan Paper📰: doi.org/10.1038/s41588… Software🧑💻: github.com/qlu-lab/GSUB Sumstats⬇️: qlu-lab.org/data.html
It's a pity that All of Us used UMAP to visualize ancestry variation in their new marker paper, out today in Nature. The UMAP algorithm, by design, exaggerates the distinctiveness of the most frequent ancestries, a message that can be misinterpreted by the public.
New preprint from my group led by @yy_stat @SunZhongxuan Almost every recent Alzheimer's GWAS combines clinical AD diagnosis and proxy phenotypes based on parental health survey. We report major limitations in the current practices of GWAS-by-proxy (GWAX) biorxiv.org/content/10.110…
You'll want to check out @Jiacheng_Miao's new paper if your work involves gene-environment interaction. This is our best GxE work so far. We introduce a statistical framework named PIGEON to reimagine how GxE studies could and should unfold. biorxiv.org/content/10.110…
Preprinted in time for #ASHG2022! Happy to share @ZijieZhao1996's new work. We present PUMA-CUBS which advances PRS benchmarking & optimization. We can now fine-tune any PRS models and even do ensemble learning to combine models using GWAS sumstats alone! biorxiv.org/content/10.110…
We had a great time hosting @nicolabarban with @uwcdha this week. Great talk on GxE using variation in oral contraceptive access to predict fertility outcomes in the @uk_biobank Look for the recording soon but for now enjoy previous presentations here: bit.ly/3V9ueBp
Research can be hard, but there are ways to make it simpler. Here are some tips for working in the lab 🧵⬇️
whoa. check out this R function... # print approximate fraction library(MASS) fractions(.1666666) > 1/6 so much easier to read!
New research from graduate student Shiro Furuya, CDHA director Jason Fletcher, affiliate Qiongshi Lu, and colleagues is out now in SSM - Mental Health (@socscimed). Read “Detecting Genetic Heterogeneities in Response to Trauma: The Case of 9/11” at go.wisc.edu/qzow45.
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