Evidence map›Paper›PMID 41808772›Full record

ArticleBioinformatics advances2026

Removing array-specific batch effects in GWAS mega-analyses by applying a two-step imputation workflow.

Mohammed Kamal Nasr, Eva König, Christian Fuchsberger, Sahar Ghasemi, Uwe Völker, Henry Völzke, Hans J Grabe, Alexander Teumer

Abstract read
In one paragraph

Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What 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 registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Effects of BACE2 polymorphisms on verbal memory in the general population.European archives of psychiatry and clinical neuroscience · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mohammed Kamal NasrDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17475, Germany.
Eva KönigInstitute for Biomedicine, Eurac Research, Bolzano 39100, Italy.ORCID https://orcid.org/0000-0002-2079-3525
Christian FuchsbergerInstitute for Biomedicine, Eurac Research, Bolzano 39100, Italy.ORCID https://orcid.org/0000-0002-5918-8947
Sahar GhasemiInstitute of Genetic Epidemiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg 79106, Germany.
Uwe VölkerDZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald 17475, Germany.ORCID https://orcid.org/0000-0002-5689-3448
Henry VölzkeDZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald 17475, Germany.ORCID https://orcid.org/0000-0001-7003-399X
Hans J GrabeDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17475, Germany.
Alexander TeumerDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17475, Germany.ORCID https://orcid.org/0000-0002-8309-094X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: Combining genetic data from different genotyping arrays (mega-analysis) increases statistical power but introduces array-specific batch effects that may bias results. This project developed a two-step genotype imputation workflow addressing this bias in studies using multiple genotyping platforms.Genotype data of 10 647 individuals generated using five different arrays were included. The two-step method involved creating intermediate array-type specific panels, which were then imputed against the 1000 Genomes reference panel. Batch effects were assessed using genetic principal component analysis of the combined imputed dataset. Performance was evaluated by comparing imputation quality and allele frequency differences between the two-step and the conventional array-specific imputation. Additionally, concordance with a whole-genome-sequenced subgroup was examined. Genome-wide association analysis on goiter risk and thyroid gland volume was conducted to compare outcomes between both imputation approaches.The workflow eliminated array-driven batch effect from the first 20 PCs and showed high correlation with the conventional approach for allele frequencies ( Availability and implementation: The study provides a workflow for high-quality imputation results without batch effects, fostering genetic analysis involving multiple genotyping arrays.

Identifiers

PMID41808772
PMCPMC12970591

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.