Author

Emily Ann Baker

Cardiff University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 2 Neuroscience· 2 Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Approach:statistical model· 6 Assay:GWAS summary statistics· 4 Research Focus:GWAS / association mapping· 3 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Valentina Escott‐PriceiD· 6 shared Ganna LeonenkoiD· 4 shared Peter HolmansiD· 3 shared Detelina GrozevaiD· 2 shared Dobril K. IvanoviD· 2 shared John HardyiD· 2 shared Julie H. WilliamsiD· 2 shared Karl Michael SchmidtiD· 2 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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6 shared papersGenetics

Valentina Escott‐PriceORCID

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Author profile →

6 papers

Recent·Most cited

What does heritability of Alzheimer's disease represent?

Emily Ann Baker, Ganna Leonenko, Karl Michael Schmidt, Matthew Hill, Amanda Myers, Maryam Shoai, Itziar de Rojas, Niccoló Tesi, Henne H. Holstege, Wiesje M. van der Flier, Yolande A.L. Pijnenburg, Agustı́n Ruiz, John Hardy, Sven J. van der Lee, Valentina Escott‐Price

This paper estimates SNP-based heritability of Alzheimer's disease across five cohorts, showing it ranges from 38-66%, with microglia genes explaining most of the heritability.

PLoS ONE · Apr 28, 2023Peer-reviewedGenetics

The impact of genetic risk for Alzheimers disease on the structural brain networks of young adults

Anastasia Mirza-Davies, Sonya F. Foley, Xavier Caseras, Emily Ann Baker, Peter Holmans, Valentina Escott‐Price, Derek Kenton Jones, Judith Rose Harrison, Eirini Messaritaki

This study examines how genetic risk for Alzheimer's disease affects structural brain networks in young adults using MRI and genotype data.

Frontiers in Neuroscience · Nov 30, 2022Peer-reviewedNeuroscience

Analysis of Alzheimer's disease Polygenic Risk Scores using RNA-sequencing provides further novel biological pathways

Karen L. Crawford, Ganna Leonenko, Emily Ann Baker, Detelina Grozeva, Benoît Lan-Leung, Peter Holmans, Julie H. Williams, Michael C. O’Donovan, Valentina Escott‐Price, Dobril K. Ivanov

The paper analyzes Alzheimer's disease polygenic risk scores using RNA-sequencing to identify novel biological pathways and common mechanisms between case/control classification and PRS associations.

medRxiv · Jun 29, 2022 · PreprintGenetic & Genomic Medicine

Identifying genetic variants associated with cerebellar volume in 33,265 individuals from the UK-Biobank

Tom Chambers, Valentina Escott‐Price, Sophie E. Legge, Emily Ann Baker, Krish D. Singh, James Walters, Xavier Caseras, Richard Anney

This study identifies 33 genome-wide significant SNPs associated with cerebellar volume in 33,265 UK-Biobank participants, highlighting 21 candidate genes and genetic correlations with other brain structures.

bioRxiv · Nov 24, 2020 · PreprintNeuroscience

Positioning Personal Polygenic Risk score against the population background.

Ganna Leonenko, Emily Ann Baker, Karl Michael Schmidt, Valentina Escott‐Price, the Alzheimer’s Disease Neuroimaging Initiative

This paper presents a method to standardize polygenic risk scores across populations and demonstrates its application to Alzheimer's disease risk estimation.

bioRxiv · Oct 24, 2019 · PreprintBioinformatics

Gene-Based Analysis in HRC Imputed Genome Wide Association Data Identifies Three Novel Genes For Alzheimer’s Disease

Emily Ann Baker, Rebecca Sims, Ganna Leonenko, Aura Frizzati, Janet C Harwood, Detelina Grozeva, GERAD/PERADES, CHARGE, ADGC, EADI, IGAP consortia, Kevin Morgan, Peter Passmore, Clive Holmes, John F. Powell, , Valentina Escott‐Price

The paper uses a novel gene-based analysis approach to identify three novel genes associated with Alzheimer’s disease using genome-wide association data.

PLoS ONE · Jul 8, 2019Peer-reviewedGenetics