Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿

PI @ Statistical Medical Genetics Lab, School of Medicine, Westlake University

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

Our review summarizing the field of the genetics of the human proteome is now published in @NatureRevGenet I would suggest pay attention to Figure 3b https://t.co/3ZfiQNSkJw

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

Our paper on genomic privacy risk in GWAS results is now published in @eLife as a Reviewed Preprint: https://t.co/mllwnFCZac Omics era is challenging our intuition — when you release many sets of summary statistics from the same samples, you may be leaking individual genotypes!

[Metware Biotechnology @MetwareGlobal]

Unlock the complexome → better, mechanism-aligned biomarkers.
🗓️ Nov 18, 9–10 AM ET | Speaker: Dr. Xia Shen
🔗 https://t.co/26k7htB6u2 #ProteinComplexes #Proteomics

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

The main messages are: 1) State-of-the-art tool LAVA is prone to false positives, whereas HDL-L offers consistent inference; 2) HDL-L provides local genetic correlations that agree more with genetic colocalization; 3) HDL-L reports more solid results in real data applications.

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

Our new method HDL-L, high-definition likelihood for local genetic correlation analysis, is now published in @NatureGenet: https://t.co/hQdjxoetnw. The method enables unbiased and fast evaluation of genetic correlations at various genomic segments.

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

Our SCALLOP consortium work on the genetics of neuro-related proteins is finally published in @NatureHumBehav Thanks to the 1st authors @lindarepetto @YangZhijian1997 @JiantaoChen1998 @RanranZhai for their hard work and of course all the consortium contributors to this effort!

[Linda Repetto @lindarepetto]

Excited to share our work published in Nature Human Behaviour! 🚀 We conducted a GWAMA study on 12,000+ individuals, analyzing 184 neuro-related proteins for genetic links and causal effects on mental health. https://t.co/muwxLvEELD

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

This cover displays our paper last year, awarded the most beautiful cover of the journal @Phenomics_J , emphasizes the importance of shifting the paradigm from gene expression to isoform expression, which is particularly important in the brain: https://t.co/kk4XZmn6DA

[Phenomics @Phenomics_J]

Today is World #Autism #Awareness Day. Pay attention to related articles on #neuroscience, helping them embrace the world and step out of their enclosed selves. #Expression quantitative trait loci (eQTL) #Genome #Neuro-related #human complex #traits #phenomics #children #love
https://t.co/7RdDJBOXmO

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

@guangchuangyu It’s all the same …

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

@feifeicheng7 Well, isn’t this just Alzheimer’s risk

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

@KejunYing P-value is a meaningless number. Whether this means anything statistically depends on the context and the design of the experiment. What is being tested? Is there any replication or hypothetical replication? Overall, what is the overall scientific story being told?

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

3. We validated 13 combinations of protein targets and diseases or side effects with available drugs, suggesting hundreds of re-purposing and new therapeutic targets for diseases and comorbidities.

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

Our SCALLOP Consortium Neurology & Neuro-Exploratory proteogenomics paper is now on
@medrxivpreprint: https://t.co/dbGdj33xm0 We conducted genome-wide association meta-analysis (GWAMA) for 184 neuro-related proteins in up to 12,500 individuals.

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

2. We also found multiple proteins with potential causal effects on neuro-related traits as well as complex diseases such as hypertension, high cholesterol, immune-related disorders, and psychiatric disorders.

[eLife - the journal @eLife]

Today, we’re introducing a new model that eliminates accept/reject decisions.

By publishing every paper with eLife reviews as a Reviewed Preprint, we plan to restore autonomy to authors, ensuring that they will be judged by what, not where, they publish. https://t.co/OAsiOVFStI

[Jian Yang @jyang1981]

Ting’s paper is out. @TingQi2 Leveraging a powerful new method and large datasets, we established a comprehensive genetic regulation map of RNA splicing, which helped to reveal a distinct and essential role of RNA splicing in common traits and diseases. https://t.co/eXxHNIl3WD

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

@jyang1981 @TingQi2 Great work. Congratulations!

[Circulation @CircAHA]

#OriginalResearch: Genomic analysis in over 28,000 people provides insights into the genetic architecture of the ACE2 coronavirus receptor
@YangZhijian1997 @xiashen #AHAJournals https://t.co/VCD1o44BGs

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

To summarize: We provide a comprehensive genetic landscape of the human ACE2 protein. ACE2, a protein sitting on our cell membranes, is essential for cardiovascular disease risk and at the same time happens to be the coronavirus receptor.

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

Our SCALLOP Consortium GWAS of the ACE2 coronavirus receptor is now published in Circulation @CircAHA: https://t.co/0gsonIG6og Thanks to the 1st authors @YangZhijian1997 and @ErinMcD46 for their hard work and all the contributing cohorts for making this joint effort possible.🥳

[Xia Shen (沈侠) 🇨🇳🇸🇪🏴󠁧󠁢󠁳󠁣󠁴󠁿 @xiashen]

4.3) and that the cardiovascular complications seen in COVID-19 patients may be intrinsic to the disease and mechanistically driven by ACE2.