Evidence map›Paper›PMID 26284790›Full record

ArticlePLoS medicine2015

Assessing the Causal Relationship of Maternal Height on Birth Size and Gestational Age at Birth: A Mendelian Randomization Analysis.

Ge Zhang, Jonas Bacelis, Candice Lengyel, Kari Teramo, Mikko Hallman, Øyvind Helgeland, Stefan Johansson, Ronny Myhre, Verena Sengpiel, Pål Rasmus Njølstad and 2 more

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In one paragraph

Article in PLoS medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 6 pooled it
–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

83 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  19. Relationship Between Type of Delivery and Growth Trajectory in the First Year of Life: The Araraquara Cohort Study.American journal of human biology : the official journal of the Human Biology Council · 2025
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23 more citing papers are in PubMed but not listed here.

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.

Ge ZhangHuman Genetics Division, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America; Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, Ohio, United States of America.
Jonas BacelisDepartment of Obstetrics and Gynecology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Candice LengyelCenter for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, Ohio, United States of America.
Kari TeramoObstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Mikko HallmanPEDEGO Research Center, University of Oulu and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland.
Øyvind HelgelandKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Stefan JohanssonKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway.
Ronny MyhreDepartment of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway.
Verena SengpielDepartment of Obstetrics and Gynecology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Pål Rasmus NjølstadKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Pediatrics, Haukeland University Hospital, Bergen, Norway.
Bo JacobssonDepartment of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway; Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Louis MugliaCenter for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, Ohio, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObservational epidemiological studies indicate that maternal height is associated with gestational age at birth and fetal growth measures (i.e., shorter mothers deliver infants at earlier gestational ages with lower birth weight and birth length). Different mechanisms have been postulated to explain these associations. This study aimed to investigate the casual relationships behind the strong association of maternal height with fetal growth measures (i.e., birth length and birth weight) and gestational age by a Mendelian randomization approach. METHODS AND

findingsWe conducted a Mendelian randomization analysis using phenotype and genome-wide single nucleotide polymorphism (SNP) data of 3,485 mother/infant pairs from birth cohorts collected from three Nordic countries (Finland, Denmark, and Norway). We constructed a genetic score based on 697 SNPs known to be associated with adult height to index maternal height. To avoid confounding due to genetic sharing between mother and infant, we inferred parental transmission of the height-associated SNPs and utilized the haplotype genetic score derived from nontransmitted alleles as a valid genetic instrument for maternal height. In observational analysis, maternal height was significantly associated with birth length (p = 6.31 × 10-9), birth weight (p = 2.19 × 10-15), and gestational age (p = 1.51 × 10-7). Our parental-specific haplotype score association analysis revealed that birth length and birth weight were significantly associated with the maternal transmitted haplotype score as well as the paternal transmitted haplotype score. Their association with the maternal nontransmitted haplotype score was far less significant, indicating a major fetal genetic influence on these fetal growth measures. In contrast, gestational age was significantly associated with the nontransmitted haplotype score (p = 0.0424) and demonstrated a significant (p = 0.0234) causal effect of every 1 cm increase in maternal height resulting in ~0.4 more gestational d. Limitations of this study include potential influences in causal inference by biological pleiotropy, assortative mating, and the nonrandom sampling of study subjects.

conclusionsOur results demonstrate that the observed association between maternal height and fetal growth measures (i.e., birth length and birth weight) is mainly defined by fetal genetics. In contrast, the association between maternal height and gestational age is more likely to be causal. In addition, our approach that utilizes the genetic score derived from the nontransmitted maternal haplotype as a genetic instrument is a novel extension to the Mendelian randomization methodology in casual inference between parental phenotype (or exposure) and outcomes in offspring.

Indexed as

Body HeightBody WeightCausalityMendelian Randomization AnalysisMothersDenmarkFemaleFinlandGestational AgeHaplotypesHumansInfant, NewbornNorwayPhenotypePolymorphism, Single NucleotidePregnancy

Identifiers

PMID26284790
PMCPMC4540580

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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.