Yuchang Wu
@yy_statBiostatistician @ University of Wisconsin-Madison. Scientist @ Qiongshi Lu's group. 子曰：“学而不思则罔，思而不学则殆。”
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@Q_StatGen
@backwugs
@PKoellinger
@patrickaturley
@SunZhongxuan
@Jiacheng_Miao
@JiawenChennn
@DanielPanyard
@AysuOkbay
@zeyun_lu
@_li_ge_
@RichardLinner
@laurencejmshowe
@covariani
@LD_matrix
#ASHG24 Interested in how to reliably use AI/ML to accelerate genetic discovery? Stop by poster 4151 this afternoon to chat!
Four presentations from us this year, covering very diverse topics. Stop by and say hi🍷#ASHG24 #ASHG2024 1) Genetic effect heterogeneity @yy_stat 2) Genetics of partner choice @S5b6bY284u9qqoa 3) Perturb-seq/GWAS data integration @stphn_drn 4) ML-assisted GWAS @Jiacheng_Miao
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
At Stanford for the IGSS conference. Interesting talks, lovely weather, and beautiful campus! I think I like this place.
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…
Don't know you, but I'm more excited about the posters than the talks. Looking forward to many inspiring conversations and discussions! #ASHG2022 #poster
Excited to finally throw our hat in the ring. Here is our new method (named X-Wing) for cross-ancestry PRS. A key takeaway is that we now do EVERYTHING with sumstats alone which is a major methodological advance. Work is led by @Jiacheng_Miao & Hanmin. biorxiv.org/content/10.110…
Excited to see our work published! I enjoyed a lot in this project and enjoyed even more (should I say this? 😃) from two very helpful and constructive reviewer comments! Thanks to all my coauthors; this is an amazing team work!
Our GWAS on infant mortality rate is published in @PNASNews We use area-level IMR to index early-life levels of hardship conditions including WWII. Doing a GWAS on it revealed (surprisingly clean) signals of very recent selection on beneficial variants pnas.org/doi/full/10.10…
Scrolling academic Twitter is more fun (and beneficial) than reading #ASHG21 posters 😂
Great new paper by @ShaiCarmi and colleagues on (poly)genetic screening of embryos describes a host of important policy and ethical issues. We (@Q_StatGen and @yy_stat) add our discussion here and point to some next steps elifesciences.org/articles/73193 @UWLaFollette @uwcdha
Our paper on screening IVF embryos for complex disease risk is now published in @eLife! We study the risk reduction when parents select an embryo for transfer based on its polygenic risk score for a single disease. Co-led by @ToddLencz 1/12 elifesciences.org/articles/64716
The second paper out today in @GenomeBiology is SUPERGNOVA, a new method to estimate local genetic correlations between two GWAS. This one is a collaboration with @YiliangTracy @HongyuZhao2 at Yale and many others. genomebiology.biomedcentral.com/articles/10.11…
We have two method papers out in @GenomeBiology today🍾🍾 The first one introduces PUMAS, an approach to perform "cross-validation" on GWAS summary statistics to select tuning parameters (e.g. optimal p-value cutoffs) for PRS models genomebiology.biomedcentral.com/articles/10.11…
It's a good day when you find a great tweetorial about your own paper from someone else. I appreciate this very much @ShaiCarmi ! And of course great collaboration with Tianchang, @jasonmfletcher, @yy_stat It's pretty evident that sib analysis isn't the solution for everything
This is an eye-opening preprint on estimating direct genetic effects using siblings. @jasonmfletcher @Q_StatGen et al. The indirect effect (genetic nurture) of a genotype is the environmental influence of the parent who carries the same genotype. 1/7 biorxiv.org/content/10.110…
Curious if socioeconomic disadvantage tracks with faster biological aging? Check out my latest pub (1/6) The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study tandfonline.com/doi/full/10.10…
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Who to follow
-
Qiongshi Lu
@Q_StatGen -
Social Genomics at the University of Wisconsin
@backwugs -
Philipp Koellinger
@PKoellinger -
Patrick Turley
@patrickaturley -
Zhongxuan(John) Sun
@SunZhongxuan -
Jiacheng Miao
@Jiacheng_Miao -
Jiawen Chennn
@JiawenChennn -
Daniel Panyard, PhD
@DanielPanyard -
Aysu Okbay
@AysuOkbay -
Zeyun Lu 鲁泽沄
@zeyun_lu -
Li Ge
@_li_ge_ -
Richard Karlsson Linnér
@RichardLinner -
Laurence Howe
@laurencejmshowe -
Andrey Ziyatdinov
@covariani -
Lida Wang
@LD_matrix
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