Evidence map›Paper›PMID 40457613›Full record

ArticleGenetic epidemiology2025

Genome-Wide Association Analyses in Family Triads and Dyads Following Assisted Reproductive Technology.

Siri N Skodvin, Håkon K Gjessing, Astanand Jugessur, Julia Romanowska, Alexandra Havdahl, Siri E Håberg, Hans Ivar Hanevik, Robert Lyle, Rolv Terje Lie, Miriam Gjerdevik

Abstract read
In one paragraph

Article in Genetic epidemiology, 2025. 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

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

1 citing paper in PubMed.

  1. 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

10 authors.

Siri N SkodvinCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0003-4545-2513
Håkon K GjessingCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0002-3544-1063
Astanand JugessurCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0003-1365-8322
Julia RomanowskaCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0001-6733-1953
Alexandra HavdahlPsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway.
Siri E HåbergCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
Hans Ivar HanevikCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
Robert LyleCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
Rolv Terje LieCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
Miriam GjerdevikCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.

Funding

This research was partly funded by the Research Council of Norway (project no. 320656), and through its Centres of Excellence funding scheme #262700 (S.N.S., H.K.G., A.J., J.R., S.E.H., H.I.H., R.L., R.T.L., and M.G.) and co-funded by the European Union (ERC, BIOSFER, #101071773). This research was also partly supported by a large infrastructure grant from the Research Council of Norway to establish "Biobank Norway" (#322672). This research is part of the HARVEST collaboration, supported by the Research Council of Norway (#229624). We also thank the NORMENT Centre for providing genotype data, funded by the Research Council of Norway (#223273), South East Norway Health Authorities and Stiftelsen Kristian Gerhard Jebsen. We further thank the Center for Diabetes Research, the University of Bergen for providing genotype data and performing quality control and imputation of the data funded by the ERC AdG project SELECTionPREDISPOSED, Stiftelsen Kristian Gerhard Jebsen, Trond Mohn Foundation, the Research Council of Norway, the Novo Nordisk Foundation, the University of Bergen, and the Western Norway Health Authorities.
6 · The paper itself

Abstract

Genetic selection occurs at different stages before a successful birth. The genetic makeup of a couple may influence the likelihood of needing assisted reproductive technology (ART) to achieve conception. However, frequent early fetal losses may also be perceived as reduced couple fertility and may thus be a contributing factor to the need for ART treatment. As ART procedures may enhance early fetal survival, genes that impact fetal viability may have a different allele distribution in ART offspring than expected under Mendelian transmission, as well as compared with the general population. With genetic data available from the Norwegian Mother, Father, and Child Cohort Study, we defined fetal survival as the study outcome and analyzed 1336 case-parent triads and dyads where the offspring were conceived by ART. Using log-linear models implemented in the R package Haplin, we conducted genome-wide scans to estimate fetal, maternal, and parent-of-origin effects and provided a detailed discussion on how these effects are estimated and interpreted. We detected fetal effects for single-nucleotide polymorphisms (SNPs) located in CXXC4-AS1, OPCML, and DYNLRB2-AS1. Since these effects were not observed in a limited follow-up analysis of non-ART triads, the identified effects are unlikely caused by genetic selection before fertilization.

Indexed as

Genome-Wide Association StudyReproductive Techniques, AssistedAdultCohort StudiesFemaleHumansMaleNorwayPolymorphism, Single NucleotidePregnancy

Identifiers

PMID40457613
PMCPMC12130677

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.