Joined April 2019
- Tweets 79
- Following 314
- Followers 170
- Likes 1,057
3 Photos and videos
1 Feb 2025
Wow! Need a LoF variant list in AllofUs. Filter the giant variant annotation table? Hours of waiting! Ended up copying and pasting data browser results to DeepSeek and in 10 seconds I got a clean tab-separated file! Cool!
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3 Feb 2025
update: The filter function on data browser does not give accurate results: some categories and some variants meet the criteria are missing. Guess we have to use VAT for more serious work.
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Yuchang Wu retweeted
3 Dec 2024
My first co-author paper is now preprinted! With
@ZijieZhao1996 and @Q_StatGen
we introduce PUMAS-ensemble, a regularized ensemble PRS requiring only GWAS summary statistics and LD reference data as input.
biorxiv.org/content/10.1101/…
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Yuchang Wu retweeted
3 Dec 2024
Our new PRS paper is out! We introduce a method to create regularized ensemble PRS on GWAS sumstats. Individual-level data is no longer needed for sophisticated ensemble learning @ZijieZhao1996 @stphn_drn
Paper📰:biorxiv.org/content/10.1101/…
Software🧑💻:github.com/qlu-lab/PUMAS
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Yuchang Wu retweeted
3 Dec 2024
One score to rule them all: regularized ensemble polygenic risk prediction with GWAS summary statistics biorxiv.org/cgi/content/shor… #biorxiv_genetic
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20 Nov 2024
pain in using cloud computing: took 1 day 10 hours and 44 minutes to finish some analysis using AllofUs data, and I accidentally deleted the "environment" and all the results are gone forever ... 😭😭😭
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Yuchang Wu retweeted
8 Nov 2024
#ASHG24 Interested in how to reliably use AI/ML to accelerate genetic discovery?
Stop by poster 4151 this afternoon to chat!
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Yuchang Wu retweeted
5 Nov 2024
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
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4 Nov 2024
Thrilled to see this published on Nature Genetics! We found weird results using AD GWAX in another project and discovered that the bias is actually a very serious issue in the AD field. This underscores the importance of data quality. Larger is not always better!
4 Nov 2024
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/s41588-024-0…
Software🧑💻: github.com/qlu-lab/GSUB
Sumstats⬇️: qlu-lab.org/data.html
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4 Nov 2024
While we didn't explore it in this paper, another tool (POP-GWAS) from our lab (x.com/Q_StatGen/status/18407…) may offer a better solution when dealing with phenotypes with biases. --- also check it out!
30 Sep 2024
POP-GWAS led by @Jiacheng_Miao is published today in @NatureGenet. This work showcases modern data science leveraging the power of machine learning while maintaining statistical validity. It also provides a GWAS solution when the outcome is ML-predicted nature.com/articles/s41588-0…
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Yuchang Wu retweeted
4 Nov 2024
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/s41588-024-0…
Software🧑💻: github.com/qlu-lab/GSUB
Sumstats⬇️: qlu-lab.org/data.html
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26 Oct 2024
At Stanford for the IGSS conference. Interesting talks, lovely weather, and beautiful campus! I think I like this place.
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Yuchang Wu retweeted
17 Oct 2023
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/10.1101/…
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Yuchang Wu retweeted
15 Dec 2022
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/10.1101/…
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Yuchang Wu retweeted
27 Oct 2022
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/10.1101/…
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27 Oct 2022
#ASHG2022 poster alert (Thursday afternoon; Board No.3383): It's well-known that autism has strong environmental contributions (e.g. autism susceptible genes are preferentially expressed in developing brain thus intrauterine environment from the mother is critical), however,
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27 Oct 2022
many genetic studies on autism pretend that E does not exist. In this poster, we proposed a unique study design to quantify the contribution of maternal genotype to child's ASD risk in addition to child's genotype. Come and let's discuss more details if you're interested.
Yuchang Wu retweeted
30 May 2022
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/10.1101/…
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16 Mar 2022
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!
16 Mar 2022
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/10.1073/pn…
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