Author

Madeleine Cule

Calico Life SciencesORCID 0000-0002-7400-5643Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Madeleine Cule1 paper · Google (United States)

Biology Disciplines

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Genetics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 3 Organism:human· 3 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Brandon J. WhitcheriD· 2 shared Elena P. SorokiniD· 2 shared Elizabeth Louise ThomasiD· 2 shared Jimmy David BelliD· 2 shared Afreen NaziD· 1 shared Aimée M. DeatoniD· 1 shared Alnylam Human Genetics· 1 shared Altayeb AhmediD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Brandon J. WhitcherORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Scaling genetic discovery for organ volumes using machine learning-assisted imputation and bias-corrected GWAS

Afreen Naz, Brandon J. Whitcher, Altayeb Ahmed, Marjola Thanaj, Elena P. Sorokin, Jimmy David Bell, Elizabeth Louise Thomas, Madeleine Cule, Hanieh Yaghootkar

This paper uses machine learning to impute MRI-derived organ volumes and applies bias-corrected GWAS to identify genetic loci associated with these traits across 450,000 individuals.

medRxiv · Nov 7, 2025 · PreprintGenetic & Genomic Medicine

Genetic regulation of the human plasma proteome in 54,306 UK Biobank participants

Benjamin B. Sun, Joshua Chiou, Matthew Traylor, Christian Benner, Yi‐Hsiang Hsu, Tom G. Richardson, Praveen Surendran, Anubha Mahajan, Chloe Robins, Steven G. Grinnell, Liping Hou, Erika M. Kvikstad, Oliver S. Burren, Jonathan Davitte, Kyle L. Ferber, , Christopher D. Whelan

The paper maps genetic associations with plasma proteins in 54,306 UK Biobank participants, identifying 10,248 new protein quantitative trait loci (pQTLs) and expanding the genetic architecture of the plasma proteome.

Nature · Oct 4, 2023Peer-reviewedGenetics

Genetic architecture of 11 abdominal organ traits derived from abdominal MRI using deep learning

Yi Liu, Nicolas Basty, Brandon J. Whitcher, Jimmy David Bell, Elena P. Sorokin, Nick van Bruggen, Elizabeth Louise Thomas, Madeleine Cule

The paper uses deep learning to quantify abdominal organ traits from MRI scans and identifies genetic associations with organ health parameters.

bioRxiv · Jul 14, 2020 · PreprintGenetics