Author

Louis J. M. Aslett

Durham UniversityORCID 0000-0003-2211-233XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:GWAS / association mapping· 3 Approach:statistical model· 3 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

David SteinsaltziD· 3 shared Ira M. HalliD· 3 shared Ryan ChristiD· 3 shared Chul Joo KangiD· 2 shared Nathan O. StitzieliD· 2 shared Xinxin WangiD· 2 shared Aiden DohertyiD· 1 shared Chris HolmesiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersGenomics

David SteinsaltzORCID

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4 papers

Recent·Most cited

Genetic & Genomic MedicineGenome ResearchPeer-reviewedMay 1, 2026

Genealogy based trait association with LOCATER boosts power at loci with allelic heterogeneity

Xinxin Wang, Ryan Christ, Erica P. Young…·Ira M. Hall

The paper introduces LOCATER, a genealogy-based method that improves trait association power by leveraging haplotype diversity and allelic heterogeneity, identifying novel associations and recovering known loci in a Finnish cohort.

2 citations

humanwhole-genome sequencing

𝕏 PostBluesky

GenomicsGeneticsPeer-reviewedAug 7, 2025

Clade Distillation for Genome-wide Association Studies

Ryan Christ, Xinxin Wang, Louis J. M. Aslett…·Ira M. Hall

The paper introduces LOCATER, a method to test genealogical trees for association with traits, showing improved power over traditional methods in detecting allelic heterogeneity.

5 citations

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsbioRxivPreprintDec 6, 2024

Variant Set Distillation

Ryan Christ, Chul Joo Kang, Louis J. M. Aslett…·Ira M. Hall

The paper introduces vsdistill, a method for improving power in genomics by distilling variant sets, and demonstrates its effectiveness through simulations and UK Biobank analysis.

DOI 10.1101/2024.12.06.627210

humanwhole-exome sequencing

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedMay 15, 2018

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

Matthew Willetts, Sven Hollowell, Louis J. M. Aslett…·Aiden Doherty

The paper develops a machine learning model to classify physical activity and sleep behaviors from sensor data in UK Biobank participants, achieving 87% accuracy.

250 citationstop 1%

humanimaging

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