Author

Mikel Lana Alberro

Max Planck Institute for Evolutionary AnthropologyORCID 0009-0008-3065-3375Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Barbara MolziD· 1 shared Clyde FrancksiD· 1 shared Dick SchijveniD· 1 shared Else EisingiD· 1 shared Gökberk AlagöziD· 1 shared Henrik KaessmanniD· 1 shared Hugo ZebergiD· 1 shared Ioannis SarropoulosiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetics

Barbara MolzORCID

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintOct 31, 2026

Reconstructing human gene regulatory evolution using deep learning

Tetsuya Yamada, Xuefei Yuan, Hugo Zeberg…·Henrik Kaessmann

This study uses deep learning to predict cis-regulatory effects of human-specific mutations across 305 tissues, revealing their role in gene expression evolution.

DOI 10.64898/2026.10.22.760916

humanDNA methylation

𝕏 PostBluesky

GeneticsScience AdvancesPeer-reviewedDec 10, 2025

Evaluating the effects of archaic protein-altering variants in living human adults

Barbara Molz, Mikel Lana Alberro, Else Eising…·Simon E. Fisher

The paper investigates the phenotypic effects of archaic protein-altering variants in living humans using UK Biobank data, finding no significant differences in health or cognitive traits among carriers.

4 citationstop 1%

humanwhole-exome sequencing

𝕏 PostBluesky