ArticlePLoS medicine2015
Assessing the Causal Relationship of Maternal Height on Birth Size and Gestational Age at Birth: A Mendelian Randomization Analysis.
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.
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Who cites it
83 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Methodological approaches, challenges, and opportunities in the application of Mendelian randomisation to lifecourse epidemiology: A systematic literature review.European journal of epidemiology · 2024Pooled it
- Meta-analysis of genome-wide association studies of gestational duration and spontaneous preterm birth identifies new maternal risk loci.PLoS genetics · 2023Pooled it
- Mendelian randomisation approaches to the study of prenatal exposures: A systematic review.Paediatric and perinatal epidemiology · 2021Pooled it
- Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors.Nature genetics · 2019Pooled it
- Finding lost genes in GWAS via integrative-omics analysis reveals novel sub-networks associated with preterm birth.Human molecular genetics · 2016Pooled it
- Pooled it
- Smoking during pregnancy is associated with child overweight independent of maternal pre-pregnancy BMI and genetic predisposition to adiposity.Scientific reports · 2022Trial
- Trial
- Article
- Impact of joint effect of parental anthropometrics on fetal growth trajectories: A national multicenter cohort study.Chinese medical journal · 2026Article
- Mendelian randomization in ovarian research: applications in PCOS, ovarian aging, and assisted reproductive technology.Journal of ovarian research · 2026Review
- Utilizing offspring genotype-by-proxy Mendelian randomization to investigate the causal effect of offspring perinatal traits on maternal health.International journal of epidemiology · 2026Article
- Extending the Use of Mendelian Randomisation With Non-Inherited Variants to Assess Socially Transmitted Parental Exposures Under Assortative Mating.Genetic epidemiology · 2026Article
- Genomic approaches to understanding pregnancy phenotypes and birth outcomes and their links with long-term maternal and offspring health-the value of distinguishing maternal and fetal genetic effects.Frontiers in genetics · 2026Review
- Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.Scientific reports · 2025Article
- Association of discordant neonatal birth weight and maternal height with risk of preeclampsia: a multi-center retrospective cohort study in China.BMC pregnancy and childbirth · 2025Article
- Intergenerational transmission of complex traits and the offspring methylome.Molecular psychiatry · 2025Article
- Investigating the Accuracy of Ultrasound Imaging in Measuring Fetal Weight in Comparison with the Actual Postpartum Weight.Pediatric reports · 2025Article
- 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 · 2025Article
- Haplotype-based analysis distinguishes maternal-fetal genetic contribution to pregnancy-related outcomes.PLoS genetics · 2025Article
23 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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