Author

Cong Guo

GlaxoSmithKline (United Kingdom)ORCID 0000-0002-9207-9910Unclaimed ORCID profile · follow to get notified of new preprints

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Cong Guo5 papers

Biology Disciplines

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Research Focus:drug response / drug discovery· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1

Frequent Co-Authors

Karsten B. Sieber· 2 shared Mark R. Hurle· 2 shared Aidan MacNamaraiD· 1 shared Alex GutteridgeiD· 1 shared Ali Amin Al OlamaiD· 1 shared Astrid J.M. YeoiD· 1 shared Jorge Esparza-Gordillo· 1 shared Kijoung S Song· 1 shared

Activity by Year

2019-2020 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersGenetics

Karsten B. Sieber

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2 papers

Recent·Most cited

Network and pathway expansion of genetic disease associations identifies successful drug targets

Aidan MacNamara, Nikolina Nakić, Ali Amin Al Olama, Cong Guo, Karsten B. Sieber, Mark R. Hurle, Alex Gutteridge

This study uses genetic associations from GWAS and network propagation to identify drug targets enriched for clinical success.

Scientific Reports · Dec 1, 2020Peer-reviewedGenetics

Identification of putative effector genes across the GWAS Catalog using molecular quantitative trait loci from 68 tissues and cell types

Cong Guo, Karsten B. Sieber, Jorge Esparza-Gordillo, Mark R. Hurle, Kijoung S Song, Astrid J.M. Yeo, Laura M. Yerges-Armstrong, Toby Johnson, Matthew R. Nelson

The paper introduces PICCOLO, a method to identify colocalized genes between GWAS and xQTLs, finding 30% of associations have at least one colocalized gene-xQTL.

bioRxiv · Oct 17, 2019 · PreprintGenetics