Evidence map›Paper›PMID 40063566›Full record

ArticlePLoS genetics2025

Haplotype-based analysis distinguishes maternal-fetal genetic contribution to pregnancy-related outcomes.

Amit K Srivastava, Julius Juodakis, Pol Sole-Navais, Jing Chen, Jonas Bacelis, Kari Teramo, Mikko Hallman, Pal R Njølstad, David M Evans, Bo Jacobsson and 2 more

Abstract read
In one paragraph

Article in PLoS genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
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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

12 authors.

Amit K SrivastavaDivision of Human Genetics, Center for Prevention of Preterm Birth, Perinatal Institute and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America.ORCID https://orcid.org/0000-0002-7162-1678
Julius JuodakisDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0001-5600-974X
Pol Sole-NavaisDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-3326-266X
Jing ChenDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America.
Jonas BacelisDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Kari TeramoObstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Mikko HallmanPEDEGO Research Unit and Medical Research Center Oulu, University of Oulu and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland.
Pal R NjølstadKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
David M EvansInstitute for Molecular Bioscience, Frazer Institute, The University of Queensland, Brisbane, Australia.
Bo JacobssonDepartment of Obstetrics and Gynecology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Louis J MugliaDivision of Human Genetics, Center for Prevention of Preterm Birth, Perinatal Institute and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America.
Ge ZhangDivision of Human Genetics, Center for Prevention of Preterm Birth, Perinatal Institute and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America.ORCID https://orcid.org/0000-0002-0543-2254

Funding

Integrating genomic studies of gestational duration and birth weight to understand maternal and fetal causes of adverse pregnancy outcomes and links with later diseasesR01HD101669 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI FREATHY, RACHEL, JACOBSSON, BO · 2021 to 2024
$2.1M
NICHD NIH HHS R01 HD101669Wellcome Trust
6 · The paper itself

Abstract

Genotype-based approaches for the estimation of SNP-based narrow-sense heritability ([Formula: see text]) have limited utility in pregnancy-related outcomes due to confounding by the shared alleles between mother and child. Here, we propose a haplotype-based approach to estimate the genetic variance attributable to three haplotypes - maternal transmitted ([Formula: see text]), maternal non-transmitted ([Formula: see text]) and paternal transmitted ([Formula: see text]) in mother-child pairs. We show through extensive simulations that our haplotype-based approach outperforms the conventional and contemporary approaches for resolving the contribution of maternal and fetal effects, particularly when m1 and p1 have different effects in the offspring. We apply this approach to estimate the explicit and relative maternal-fetal genetic contribution to the phenotypic variance of gestational duration and gestational duration-adjusted fetal size measurements at birth in 10,375 mother-child pairs. The results reveal that variance of gestational duration is mainly attributable to m1 and m2 ([Formula: see text]). In contrast, variance of fetal size measurements at birth are mainly attributable to m1 and p1 ([Formula: see text]). Our results suggest that gestational duration and fetal size measurements are primarily genetically determined by the maternal and fetal genomes, respectively. In addition, a greater contribution of m1 as compared to m2 and p1 ([Formula: see text]) to birth length and head circumference suggests a substantial influence of correlated maternal-fetal genetic effects on these traits. Our newly developed approach provides a direct and robust alternative for resolving explicit maternal and fetal genetic contributions to the phenotypic variance of pregnancy-related outcomes.

Indexed as

HaplotypesMaternal InheritancePregnancy OutcomeFemaleFetusGenotypeHumansMaleModels, GeneticPolymorphism, Single NucleotidePregnancy

Identifiers

PMID40063566
PMCPMC11918446

What OpenQuestion holds

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Registered trials

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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.