Author

Anni Heiskala

University of OuluORCID 0009-0009-2342-2488Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 2 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:genome assembly· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Marjo‐Riitta JärveliniD· 3 shared Sylvain P SebertiD· 3 shared Debbie A. LawloriD· 2 shared Jari M. T. LahtiiD· 2 shared Katri RäikköneniD· 2 shared A. Robert JeanneiD· 1 shared Afsheen Kumar· 1 shared Alan KuangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenetic & Genomic Medicine

Marjo‐Riitta JärvelinORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genetic & Genomic MedicineNature CommunicationsPeer-reviewedJun 1, 2026

Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects

Caroline Brito Nunes, Valentina Rukins, Aminata Hallimat Cissé…·Gunn-Helen Moen

The paper conducts a multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycemic traits, identifying novel loci and highlighting limited pregnancy-specific genetic effects.

1 citation

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsbioRxivPreprintAug 16, 2025

Genome-wide analysis of social behaviour in context: a meta-regression approach across social domains, reporters and developmental stages

Lucía de Hoyos, Fenja Schlag, Sanjeevan Jahagirdar…·Beaté St Pourcain

This study uses genome-wide meta-regression to analyze social behavior across different contexts, ages, and reporters, identifying six genetic loci and showing modest heritability.

DOI 10.1101/2025.08.16.667148

humanGWAS summary statistics

𝕏 PostBluesky

Genetic & Genomic MedicineNature CommunicationsPeer-reviewedNov 20, 2024

A framework for conducting time-varying genome-wide association studies: An application to body mass index across childhood in six multiethnic cohorts

Kimberley Burrows, Anni Heiskala, Jonathan P. Bradfield…·Nicole M. Warrington

The paper introduces a framework for time-varying GWAS to identify age-varying genetic effects on BMI across childhood, finding 28 genome-wide significant variants, including a novel one in DAOA.

16 citationstop 4%

humanGWAS summary statistics

𝕏 PostBluesky