Author

Jodie Lord

King's College LondonORCID 0000-0003-2955-7809Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 3 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Petroula ProitsiiD· 4 shared Rebecca GreeniD· 4 shared Dag AarslandiD· 3 shared Jin XuiD· 3 shared Latha VelayudhaniD· 3 shared Richard DobsoniD· 3 shared Abdul HyeiD· 2 shared Cristina Legido‐QuigleyiD· 2 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersGenetic & Genomic Medicine

Petroula ProitsiORCID

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4 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJun 5, 2023

Investigating the genetic relationship between depression symptoms and Alzheimer's disease in clinically diagnosed and proxy cases

Lachlan Gilchrist, Thomas P Spargo, Rebecca Green…·Petroula Proitsi

This study investigates the genetic relationship between depression symptoms and Alzheimer's disease using GWAS and finds significant genetic correlations but no causal link, suggesting proxy cases may drive the overlap.

DOI 10.1101/2023.06.05.23290588

humanGWAS summary statistics

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Genetic & Genomic MedicineJournal of Alzheimer s DiseasePeer-reviewedAug 27, 2021

Assessing genetic overlap and causality between blood plasma proteins and Alzheimer's Disease

Álex Handy, on behalf of the Alzheimer’s Disease Neuroimaging Initiative, Jodie Lord…·Petroula Proitsi

This study investigates genetic overlap and causality between blood plasma proteins and Alzheimer's Disease using polygenic risk scores and Mendelian Randomization, finding associations but no strong causal links.

8 citations

humanGWAS summary statistics

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Genetic & Genomic MedicineProceedings of the National Academy of SciencesPeer-reviewedApr 16, 2021

Deciphering the causal relationship between blood metabolites and Alzheimers Disease: a Mendelian Randomization study

Jodie Lord, Bradley S. Jermy, Rebecca Green…·Petroula Proitsi

This study uses Mendelian Randomization to investigate causal relationships between blood metabolites and Alzheimer's Disease, identifying several metabolites as potential causal factors.

63 citationstop 1%

humanGWAS summary statistics

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NeuroscienceTranslational NeurodegenerationPeer-reviewedSep 20, 2020

Integrated lipidomics and proteomics network analysis highlights lipid and immunity pathways associated with Alzheimer's disease

Jin Xu, Giulia Bankov, Min Gyu Kim…·Cristina Legido‐Quigley

The paper integrates lipidomics and proteomics data to identify modules associated with Alzheimer's disease phenotypes and risk loci in immune and lipid pathways.

66 citationstop 2%

humanproteomics

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