Author

Xinzhu Yu

Imperial College LondonORCID 0000-0002-1073-6455Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:GWAS / association mapping· 1 Assay:metabolomics· 1

Frequent Co-Authors

Abbas DehghaniD· 1 shared Alexandra BaousiiD· 1 shared Artitaya LophatananoniD· 1 shared Benjamin Woolf· 1 shared Brian McMillaniD· 1 shared Devleena RayiD· 1 shared Emmanouil BourasiD· 1 shared Eugene Yee Hing TangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenetic & Genomic Medicine

Abbas DehghanORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintSep 3, 2026

Causal roles of phenotypic age and metabolic health on dementia: a Mendelian randomisation and structure learning study

Alexandra Baousi, Katrina Dobinda, Jingqi Zhu…·Hui Guo

This study uses Mendelian randomisation and causal network analysis to evaluate the causal effects of phenotypic age acceleration and metabolic health on dementia, finding no evidence of a causal effect but identifying key biomarkers.

DOI 10.64898/2026.09.01.26360731

humanmetabolomics

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintSep 3, 2026

A novel framework leveraging non-causal associations reveals shared pathways linking inflammation and cancer risk

James Yarmolinsky, Francesca R Cavallo, Fotios Koskeridis…·Ioanna Tzoulaki

This paper identifies shared genetic loci between inflammation and cancer risk using non-causal associations, revealing potential therapeutic targets.

DOI 10.64898/2026.08.30.26361622

humanbulk RNA-seq

𝕏 PostBluesky