Evidence map›Paper›PMID 41607659›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Genetic survey of biomarkers across pregnancy identifies pregnancy-specialized immune regulation.

Merve Cakir, Michela Traglia, Stacey Alexeeff, Jennifer L Ames, Paul Ashwood, Luke P Grosvenor, Erica P Gunderson, Danielle Hj Kim, Jane W Liang, Yinge Qian and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Michela Traglia
Stacey Alexeeff
Jennifer L Ames
Paul Ashwood
Luke P Grosvenor
Erica P Gunderson
Danielle Hj Kim
Jane W Liang
Yinge Qian
Elizabeth Sahagun
Robert Yolken
Judy Van de Water
Lisa A Croen
Lauren A Weiss

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much remains unknown about the genetics of immune system changes during pregnancy. We used SNP data in a pregnancy cohort to genetically investigate 47 immune biomarkers at two timepoints, along with change between timepoints (delta). We identified 19 biomarkers with significant SNP-based heritability and 34 with genome-wide significant signals, demonstrating genetic regulation. The same biomarkers measured in early- and mid-pregnancy shared about half of significant associations across timepoints, with enrichment for immune pathways. In contrast, delta showed enrichment in transcription factors and developmental processes. About half of suggestive associations overlapped with non-pregnancy associations. However, these data leave a substantial fraction of potentially timepoint-specific and pregnancy-unique findings. Nearby genes were enriched for placental expression, reinforcing the novelty of our results. We additionally explored the relationship between immune genetic associations and prior GWAS of pregnancy complications. Overall, we present the first multi-timepoint genetic study of immune profile in pregnancy.

Identifiers

PMID41607659
PMCPMC12838297

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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.