ArticleResearch square2025
Optimizing Genetic Ancestry Adjustment in DNA Methylation Studies: A Comparative Analysis of Approaches.
Kira D Höffler, Seyma Katrinli, Matthew W Halvorsen, Anne-Kristin Stavrum, Kevin S O'Connell, Alexey Shadrin, Srdjan Djurovic, Ole A Andreassen, James J Crowley, Jan Haavik and 8 more
Abstract readPreprint
In one paragraphArticle in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
18 authors.
Kira D HöfflerUniversity of Bergen and Haukeland University Hospital.
Seyma KatrinliEmory University.
Matthew W HalvorsenUniversity of North Carolina at Chapel Hill.
Anne-Kristin StavrumUniversity of Bergen and Haukeland University Hospital.
Kevin S O'ConnellOslo University Hospital and University of Oslo.
Alexey ShadrinOslo University Hospital and University of Oslo.
Srdjan DjurovicOslo University Hospital and University of Oslo.
Ole A AndreassenOslo University Hospital and University of Oslo.
James J CrowleyUniversity of North Carolina at Chapel Hill.
Jan HaavikUniversity of Bergen and Haukeland University Hospital.
Kristen HagenHaukeland University Hospital.
Gerd KvaleUniversity of Bergen and Haukeland University Hospital.
Kerry ResslerMcLean Hospital & Harvard Medical School.
Bjarne HansenUniversity of Bergen and Haukeland University Hospital.
Jair C SoaresThe University of Texas Health Science Center at Houston.
Gabriel R FriesThe University of Texas Health Science Center at Houston.
Alicia K SmithEmory University.
Stéphanie Le HellardUniversity of Bergen and Haukeland University Hospital.
Funding
The Impact of Traumatic Stress on the Methylome: implications for PTSDR01MH108826 · NIMH · EMORY UNIVERSITY · PI LOGUE, MARK W, NIEVERGELT, CAROLINE M · 2016 to 2024
$5.8MEmory University BIRCWH ProgramK12HD085850 · NICHD · EMORY UNIVERSITY · PI OFOTOKUN, IGHOVWERHA, STERK, CLAIRE E · 2015 to 2023
$4.4MOCD: Novel Comparative Genomic Approaches to Identify Disease and Treatment MechanismsR01MH110427 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CROWLEY, JAMES JOSEPH · 2016 to 2021
$3.0MDeciphering the role of neuronal and peripheral DNA methylation in suicide and bipolar disorderK01MH121580 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FRIES, GABRIEL RODRIGO · 2020 to 2023
$699kNICHD NIH HHS K12 HD085850NIMH NIH HHS K01 MH121580NIMH NIH HHS R01 MH108826NIMH NIH HHS R01 MH110427
6 · The paper itselfAbstract
Background: Genetic ancestry is an important factor to account for in DNA methylation studies because genetic variation influences DNA methylation patterns. One approach uses principal components (PCs) calculated from CpG sites that overlap with common SNPs to adjust for ancestry when genotyping data is not available. However, this method does not remove technical and biological variations, such as sex and age, prior to calculating the PCs. The first PC is therefore often associated with factors other than ancestry. Methods: We developed and adapted the adapted Results: The PCs generated by Conclusions: We show that the
Indexed as
ancestryDNA methylationepigeneticsEWASMWAS
Identifiers
PMID40470202
PMCPMC12136211
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