Yajie Zhao, 赵亚杰

Group Leader of Changping Laboratory & Visiting Scientist at @MRC_Epid & Human Geneticist🧬/ Photographer📷/Cat Enthusiast🐱

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

Excited to share our latest preprint on the large-scale GWAS and PheWAS of restless legs syndrome (RLS), one of the most common sleep-related movement disorders, affecting approximately 4% of adults worldwide. https://t.co/Ee1M4vyUJv

[Yunlong Richard Cao @yunlong_cao]

Excited to share our new study in Nature Microbiology. By integrating deep mutational scanning (DMS) datasets with a protein language model, we achieved accurate forecasting of emerging SARS-CoV-2 dominant variants at spatiotemporal resolution.
https://t.co/Tr8CnlzEn3

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

Finished my forth half-marathon just now. Keep running.

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

Unforgettable memories in 2026 Single-Cell Genomics GRC

[Jian Yang @jyang1981]

SV-GWAS is highly accessible now! Our new paper in @NatureGenet shows how HiFi long-read assemblies let us repurpose SNP-based GWAS data to impute structural variants (SVs) to interrogate their role in human complex traits and diseases. @WeiyangBai https://t.co/zSB90E3at0

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

@bloodgenes @lvchosen1 @silvirouskin @Armstrong_dfci @CellPressNews @DanaFarberNews @DanaFarber @BroadMPG @broadinstitute @hhmi_science @BostonChildrens @GauravA_UK @guo_chunjie Congrats! 🎊🎉🎈

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

Finished my third half-marathon yesterday. Keep running.

[Jian Yang @jyang1981]

Excited to see our work in @Nature! We combined our PIGA workflow & a cost-effective sequencing strategy to build the 1000 Chinese Pangenome (1KCP). We hope this methodology & resource help unlock complex variants in human health. @wang_yifei @DuanZhongqu
https://t.co/OahSS9cZPZ

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

We just updated our manuscript: https://t.co/O20Qh7UWot

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

1/n New preprint! varTFBridge combines statistical association and fine-mapping with functional predictive models (VAR2TFBS, ABC-FP-Max, AlphaGenome) to trace common AND rare noncoding variants to the TFs and genes they affect. (1/) 📄 https://t.co/rd4gMhHMf8

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

Spring in Beijing

[Jian Yang @jyang1981]

The GTEx v10 eQTL data have been integrated into the SMR portal: https://t.co/kLXcqg9CJN

[Anshul Kundaje @anshulkundaje]

Great to the see the flurry of single gene knockdown Perturb-seq like atlases from cell-lines, mouse brain etc over the last few days. These are undoubtedly very valuable datasets. I just want to re-iterate a few other very important expt. design considerations 1/

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

Great work led by
@JasonLinjc. This work was hugely benefited from the new FOODIE technology developed by XieLab
@XieSunney. Many thanks for the mechanistic insight from AlphaGenome for non-coding variants
@Avsecz, and again to the UK Biobank participants.

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

1/n New preprint! varTFBridge combines statistical association and fine-mapping with functional predictive models (VAR2TFBS, ABC-FP-Max, AlphaGenome) to trace common AND rare noncoding variants to the TFs and genes they affect. (1/) 📄 https://t.co/rd4gMhHMf8

[Yajie Zhao, 赵亚杰 @ZhaoDylan]

8/n Code and pipeline are open-source. Give it a try! 🔗 https://t.co/aznABE0hUQ