Author

Abigail Fraser

University of BristolORCID 0000-0002-7741-9470Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1

Frequent Co-Authors

Cecilia M. LindgreniD· 2 shared Triin LaiskiD· 2 shared Ahmed ElhakeemiD· 1 shared Anders JuuliD· 1 shared Andres MetspaluiD· 1 shared Anu PasaneniD· 1 shared Ásgeir HaraldssoniD· 1 shared Barney HilliD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Cecilia M. LindgrenORCID

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2 papers

Recent·Most cited

Genome-wide analyses identify 21 infertility loci and over 400 reproductive hormone loci across the allele frequency spectrum

Samvida S. Venkatesh, Laura B. L. Wittemans, Duncan S. Palmer, Nikolas A. Baya, Teresa Cruz Ferreira, Barney Hill, Frederik Heymann Lassen, Melody J Parker, Saskia Reibe, Ahmed Elhakeem, Karina Banasik, Mie Topholm Bruun, Christian Erikstrup, Bitten Aagaard, Anders Juul, , Cecilia M. Lindgren

This study identifies 21 infertility loci and over 400 reproductive hormone loci through GWAS across multiple cohorts, finding limited genetic correlation between reproductive hormones and infertility.

Nature Genetics · Apr 14, 2025Peer-reviewedGenetic & Genomic Medicine

HAPPY: A deep learning pipeline for mapping cell-to-tissue graphs across placenta histology whole slide images

Claudia Vanea, Jelisaveta Džigurski, Valentina Rukins, Omri Dodi, Siim Siigur, Liis Salumäe, Karen S. Meir, William Tony Parks, Drorith Hochner‐Celnikier, Abigail Fraser, Hagit Hochner, Triin Laisk, Linda M. Ernst, Cecilia M. Lindgren, Christoffer Nellåker

HAPPY quantifies cell and tissue variability in placenta histology images, providing metrics that align with clinical experts and reveal deviations in placental infarction.

bioRxiv · Nov 21, 2022 · PreprintBioinformatics