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Jian Yang Profile
Jian Yang

@jyang1981

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208

Professor of Statistical Genetics, Westlake University

Hangzhou, Zhejiang, China
Joined January 2011
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@Westlake_Uni
Westlake University
3 months
🌏 It’s registration day! Whether traveling across provinces or continents, our newest undergraduates have arrived—luggage in hand, dreams in heart, and ready to begin their journey as the Class of 2029.🌟 #WestlakeUniversity #ClassOf2029 #StudyAtWestlake #WhyWestlake
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@jyang1981
Jian Yang
3 months
We have a couple of updates to GCTA.
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@jyang1981
Jian Yang
4 months
A single-authored research highlight paper from our PhD student Liyang SONG is out now in Nature Review Genetics. @liyang_song
@NatureRevGenet
Nature Reviews Genetics
4 months
New online! Mapping trait-associated cells with spatial transcriptomics https://t.co/bKtR0UHfoG
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@jyang1981
Jian Yang
6 months
This study shows that lowland individuals living at high altitude exhibit accelerated DNA methylation age.
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nature.com
Cell Discovery - Distinct methylomic signatures of high-altitude acclimatization and adaptation in the Tibetan Plateau
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@jyang1981
Jian Yang
8 months
gsMap paper online. Source code: https://t.co/J1YnfnJ1j6. Results visualisation website: https://t.co/mVKmv21wbZ.
@Nature
nature
8 months
Nature research paper: Spatially resolved mapping of cells associated with human complex traits https://t.co/0d0HWN7KpY
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@jyang1981
Jian Yang
11 months
The SMR Portal paper is now online.
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@WrayNaomi
Naomi Wray
1 year
*Ten* 3-year post-doc/assistant prof jobs advertised for our Pioneer Centre for SMARTbiomed - address key questions in common complex diseases through development of new stat/comp tools & software. A new Denmark-Oxford collaboration. Critical mass! https://t.co/1X5lNzRI5w
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@jyang1981
Jian Yang
1 year
SMR Portal: an online analysis, visualisation, and database platform for mapping complex disease genes. Powered by Westlake FutureGene. Try it out at: https://t.co/bjZiXolaLl. See a tutorial video at: https://t.co/SekxUDfwEg
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@jyang1981
Jian Yang
1 year
An update of GSMR
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@jyang1981
Jian Yang
2 years
“The extent to which MR methods are robust to directional pleiotropy can vary depending on the specific method used. This underscores the importance of comparing different MR methods in real data analysis before making definitive inferences about causality.” Well done, Angli!
@anglixue
Angli Xue
2 years
I'm so excited the last piece of my PhD work is finally out! In this study, we unravelled the complex causal relationship between substance use behaviours and common diseases by Mendelian Randomization, genetic correlation, and dosage-dependent analyses.
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@dr_appie
Abdel Abdellaoui
2 years
Naomi Wray (@WrayNaomi) works at the interface of genetics, statistics and psychiatric disorders. With early training in quantitative genetics applied to livestock she brought to the field a perspective on the polygenic nature of common complex disease 🧬 https://t.co/nKjRGyGYSO
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cell.com
Naomi Wray works at the interface of genetics, statistics and psychiatric disorders. With early training in quantitative genetics applied to livestock she brought to the field a perspective on the...
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@jyang1981
Jian Yang
2 years
New GCTA version compatible with Apple M1 and M2 chips (ARM architecture). https://t.co/9zxrmyxWM4
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@Andrew_Akbashev
Andrew Akbashev
2 years
This is how I advise my #PhD students to write research manuscripts (in case someone finds it helpful). General points: 1. Research questions addressed by your manuscript are key and should guide you. 2. Don’t view your manuscript as an article. See it as a STORY. 3. Pick the
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@jyang1981
Jian Yang
2 years
The advantage of rare variant analysis? It often leads us straight to the causal variants/genes. As WES/WGS data continues to grow, we anticipate a wave of new therapeutic target genes to be discovered for #obesity and other complex diseases. https://t.co/zw5mMx3GKp
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cell.com
In a recent Cell Genomics article, Kaisinger, Kentistou, Stankovic, et al. use a large-scale exome sequencing study in the UK Biobank to identify rare gene variants associated with sex-specific and...
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@jyang1981
Jian Yang
2 years
A new method to find the most relevant cells for a complex trait by integrating GWAS summary statistics with scRNA-seq data. Great work led by my collaborators, Dr. Yunlong Ma and Prof. Jianzhong Su.
@CellGenomics
Cell Genomics
2 years
Polygenic regression uncovers trait-relevant cellular contexts through pathway activation transformation of single-cell RNA sequencing data
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@jyang1981
Jian Yang
2 years
This study elucidates the mechanism behind why individuals born to older mothers tend to be larger. Excellent collaborative work led by my colleague Dr. Lianfeng Wu! https://t.co/fURW82Vpor
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nature.com
Cell Research - Maternal aging increases offspring adult body size via transmission of donut-shaped mitochondria
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@doctorveera
Veera Rajagopal 
2 years
Buckle up! We're in for a wild ride today. A new @NatMetabolism paper by scientists from China adds a surprising twist to the long-known FTO GWAS story. The FTO locus (16q12.2) is the first ever GWAS locus to be associated with obesity and even after 16 yrs now, scientists
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