Author

Alison J. Heggie

Newcastle UniversityORCID 0000-0001-7563-1614Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Assay:metabolomics· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Adem Y. DawediD· 2 shared Andrea MariiD· 2 shared Andrew Tym HattersleyiD· 2 shared Angus G. JonesiD· 2 shared Anubha MahajaniD· 2 shared Donna McEvoyiD· 2 shared Federico De MasiiD· 2 shared Femke RuttersiD· 2 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adem Y. DawedORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineNature CommunicationsPeer-reviewedAug 21, 2023

Genetic analysis of blood molecular phenotypes reveals regulatory networks affecting complex traits: a DIRECT study.

Andrew Anand Brown, Juan J. Fernandez-Tajes, Mun‐Gwan Hong…·Ulrik Plesner Jacobsen

The paper identifies shared genetic regulation across mRNA, proteins, and metabolites in blood, revealing networks and mediators of GWAS variants.

44 citationstop 2%

humanbulk RNA-seq

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Genetic & Genomic MedicinePLoS MedicinePeer-reviewedJun 19, 2020

Predicting and elucidating the etiology of fatty liver disease using a machine learning-based approach: an IMI DIRECT study

Naeimeh Atabaki‐Pasdar, Mattias Ohlsson, Ana Viñuela…·Paul W. Franks

This study develops machine learning models to predict liver fat content using multi-omic and clinical data from NAFLD patients, achieving higher accuracy than existing tools.

97 citationstop 1%

humanmetabolomics

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