Evidence map›Paper›PMID 32841251›Full record

Observational studyPLoS medicine2020

Dissecting maternal and fetal genetic effects underlying the associations between maternal phenotypes, birth outcomes, and adult phenotypes: A mendelian-randomization and haplotype-based genetic score analysis in 10,734 mother-infant pairs.

Jing Chen, Jonas Bacelis, Pol Sole-Navais, Amit Srivastava, Julius Juodakis, Amy Rouse, Mikko Hallman, Kari Teramo, Mads Melbye, Bjarke Feenstra and 8 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 5 pooled it
12.1field-weighted citation impact, top 1% of its field
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

49 citing papers in PubMed, 5 syntheses or guidelines pooled it, 84 citations in OpenAlex.

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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

18 authors at 11 institutions in 6 countries.

Jing ChenDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America.ORCID 0000-0002-6227-7393
Jonas BacelisDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-2450-732X
Pol Sole-NavaisDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-3326-266X
Amit SrivastavaDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America.
Julius JuodakisDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0001-5600-974X
Amy RouseCenter for Prevention of Preterm Birth, Perinatal Institute and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America.
Mikko HallmanPEDEGO Research Unit and Medical Research Center Oulu, University of Oulu and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland.ORCID 0000-0002-8172-729X
Kari TeramoObstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Mads MelbyeDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0001-8264-6785
Bjarke FeenstraDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0003-1478-649X
Rachel M FreathyInstitute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom.ORCID 0000-0003-4152-2238
George Davey SmithMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-1407-8314
Deborah A LawlorMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-6793-2262
Jeffrey C MurrayDepartment of Pediatrics, University of Iowa, Iowa City, Iowa, United States of America.ORCID 0000-0001-6346-6551
Scott M WilliamsDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America.ORCID 0000-0002-4835-9544
Bo JacobssonDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0001-5079-2374
Louis J MugliaDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America.ORCID 0000-0002-0301-8770
Ge ZhangDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America.ORCID 0000-0002-0543-2254
Cincinnati Children's Hospital Medical Center · USStatens Serum Institut · DKUniversity of Bristol · GBUniversity of Gothenburg · SECase Western Reserve University · USNorwegian Institute of Public Health · NOOulu University Hospital · FISahlgrenska University Hospital · SEUniversity of Exeter · GBUniversity of Helsinki · FIUniversity of Iowa · US

Funding

Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
Norway Mother & Child Cohort Study (MoBa) Continued Specimen Collection, and Tools to Enhance Use and CollaborationN01ES75558 · NIEHS · NORWEGIAN INSTITUTE OF PUBLIC HEALTH · PI MAGNUS, PER · 2007 to 2016
$11.8M
Metabolomic and Epigenomic Mechanisms in Developmental Overnutrition.R01DK103246 · NIDDK · UNIVERSITY OF BRISTOL · PI LAWLOR, DEBORAH ANNE · 2014 to 2018
$2.2M
British Heart Foundation AA/18/7/34219Department of Health NF-0616-10102Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/6NIDDK NIH HHS R01 DK103246NIEHS NIH HHS N01 ES075558NIEHS NIH HHS N01ES75558NINDS NIH HHS U01 NS047537Wellcome TrustWellcome Trust 102215/2/13/2Wellcome Trust WT104150
6 · The paper itself

Abstract

backgroundMany maternal traits are associated with a neonate's gestational duration, birth weight, and birth length. These birth outcomes are subsequently associated with late-onset health conditions. The causal mechanisms and the relative contributions of maternal and fetal genetic effects behind these observed associations are unresolved. METHODS AND

findingsBased on 10,734 mother-infant duos of European ancestry from the UK, Northern Europe, Australia, and North America, we constructed haplotype genetic scores using single-nucleotide polymorphisms (SNPs) known to be associated with adult height, body mass index (BMI), blood pressure (BP), fasting plasma glucose (FPG), and type 2 diabetes (T2D). Using these scores as genetic instruments, we estimated the maternal and fetal genetic effects underlying the observed associations between maternal phenotypes and pregnancy outcomes. We also used infant-specific birth weight genetic scores as instrument and examined the effects of fetal growth on pregnancy outcomes, maternal BP, and glucose levels during pregnancy. The maternal nontransmitted haplotype score for height was significantly associated with gestational duration (p = 2.2 × 10-4). Both maternal and paternal transmitted height haplotype scores were highly significantly associated with birth weight and length (p < 1 × 10-17). The maternal transmitted BMI scores were associated with birth weight with a significant maternal effect (p = 1.6 × 10-4). Both maternal and paternal transmitted BP scores were negatively associated with birth weight with a significant fetal effect (p = 9.4 × 10-3), whereas BP alleles were significantly associated with gestational duration and preterm birth through maternal effects (p = 3.3 × 10-2 and p = 4.5 × 10-3, respectively). The nontransmitted haplotype score for FPG was strongly associated with birth weight (p = 4.7 × 10-6); however, the glucose-increasing alleles in the fetus were associated with reduced birth weight through a fetal effect (p = 2.2 × 10-3). The haplotype scores for T2D were associated with birth weight in a similar way but with a weaker maternal effect (p = 6.4 × 10-3) and a stronger fetal effect (p = 1.3 × 10-5). The paternal transmitted birth weight score was significantly associated with reduced gestational duration (p = 1.8 × 10-4) and increased maternal systolic BP during pregnancy (p = 2.2 × 10-2). The major limitations of the study include missing and heterogenous phenotype data in some data sets and different instrumental strength of genetic scores for different phenotypic traits.

conclusionsWe found that both maternal height and fetal growth are important factors in shaping the duration of gestation: genetically elevated maternal height is associated with longer gestational duration, whereas alleles that increase fetal growth are associated with shorter gestational duration. Fetal growth is influenced by both maternal and fetal effects and can reciprocally influence maternal phenotypes: taller maternal stature, higher maternal BMI, and higher maternal blood glucose are associated with larger birth size through maternal effects; in the fetus, the height- and metabolic-risk-increasing alleles are associated with increased and decreased birth size, respectively; alleles raising birth weight in the fetus are associated with shorter gestational duration and higher maternal BP. These maternal and fetal genetic effects may explain the observed associations between the studied maternal phenotypes and birth outcomes, as well as the life-course associations between these birth outcomes and adult phenotypes.

Indexed as

PhenotypeAdultBirth WeightBody HeightCase-Control StudiesCohort StudiesDiabetes Mellitus, Type 2FemaleGenetic TestingGenome-Wide Association StudyHaplotypesHumansInfant, NewbornMalePolymorphism, Single NucleotidePregnancy

Identifiers

PMID32841251
PMCPMC7447062
OpenAlexW3080851942

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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.