Maternal Effects for Preterm Birth: A Genetic Epidemiologic Study of 630,000 Families (original) (raw)

Original Contribution Maternal and Fetal Genetic Contributions to Postterm Birth: Familial Clustering in a Population-Based Sample of 475,429 Swedish Births

This study examines the familial clustering and relative influence of genetic and environmental effects on postterm birth in the Swedish population by considering all full-and half-siblings born in Sweden between 1992 and 2004. Of the eligible 475,429 births, 21% occurred after 41 completed weeks and 5.5% occurred after 42 completed weeks of gestation. Odds of postterm birth increased if mothers were older, heavier, more educated, primiparous, or carrying a male fetus. The highest odds increase was seen in women with a previous postterm birth, both with the same partner (odds ratio = 4.4, 95% confidence interval: 4.0, 4.6) and after a partner change (odds ratio = 3.4, 95% confidence interval: 2.9, 3.9). Sisters of women with a postterm birth were also at increased odds of postterm birth (odds ratio = 1.8, 95% confidence interval: 1.6, 2.0) while brothers' partners were not. Half of the variation in postterm birth could not be explained by factors shared in families, and the remaining half was explained by genetic factors, namely fetal (26%) and maternal (21%) genetic factors. Familial clustering of postterm birth is attributed to genetic effects, and fetal genetic effects have a considerable influence on the liability of postterm birth. components of variance; family; logistic regression; mixed linear model; postterm birth; risk factors Abbreviations: ALR, alternating logistic regression; CI, confidence interval; OR, odds ratio; POR, pairwise odds ratio.

Maternal and fetal genetic factors account for most of familial aggregation of preeclampsia: A population-based Swedish cohort study

American Journal of Medical Genetics, 2004

There is accumulated evidence for genetic influences on preeclampsia. However, no study has been able to separate the effects of maternal and fetal genetic factors from environmental factors, and there are still uncertainties about the origin and magnitude of the genetic effects. We used the population-based Swedish Birth and Multi-Generation Registries to identify a cohort of women who gave birth from 1987 through 1997. In order to separate the genetic and environmental contributions to preeclampsia, we analyzed pregnancy outcomes from families joined by full siblings. We included information from 244,564 sibling pairs (62,236 sister pairs, 63,288 brother pairs, and 119,040 sister-brother pairs), who had 701,488 pregnancies. We found that 35% of the variance in liability of preeclampsia was attributable to maternal genetic effects, 20% to fetal genetic effects (with similar contribution of maternal and paternal genetic effects), 13% to the couple effect, less than 1% to shared sibling environment, and 32% to unmeasured factors. Among women and men without a history of preclampsia, partner change reduced the risk of preeclampsia (odds ratio, 0.6; 95 percent confidence interval, 0.4-0.9). Genetic factors account for more than half of the liability of preeclampsia, and maternal genes contribute more than fetal genes. We suggest that the couple effect is due to a genetic interaction between mother and father.

Fetal and Maternal Genes' Influence on Gestational Age in a Quantitative Genetic Analysis of 244,000 Swedish Births

American Journal of Epidemiology, 2013

Although there is increasing evidence that genetic factors influence gestational age, it is unclear to what extent this is due to fetal and/or maternal genes. In this study, we apply a novel analytical model to estimate genetic and environmental contributions to pregnancy history records obtained from 165,952 Swedish families consisting of offspring of twins, full siblings, and half-siblings . Results indicated that fetal genetic factors explained 13.1% (95% confidence interval (CI): 6.8, 19.4) of the variation in gestational age at delivery, while maternal genetic factors accounted for 20.6% (95% CI: 18.1, 23.2). The largest contribution to differences in the timing of birth were environmental factors, of which 10.1% (95% CI: 7.0, 13.2) was due to factors shared by births of the same mother, and 56.2% (95% CI: 53.0, 59.4) was pregnancy specific. Similar models fit to the same data dichotomized at clinically meaningful thresholds (e.g., preterm birth) resulted in less stable parameter estimates, but the collective results supported a model of homogeneous genetic and environmental effects across the range of gestational age. Since environmental factors explained most differences in the timing of birth, genetic studies may benefit from understanding the specific effect of fetal and maternal genes in the context of these yet-unidentified factors.

Maternal Contributions to Preterm Delivery

American Journal of Epidemiology, 2009

Preterm delivery (PTD) is a complex trait with a significant familial component. However, no specific inheritance patterns have been established. The authors examined the contribution of PTDs in both the woman's family and her partner's family to her risk of PTD. The authors linked birth information from Danish national registers with pedigree information from the Danish Family Relations Database for 1,107,124 live singleton deliveries occurring from 1978 to 2004. Risk ratios were estimated comparing women with and without various PTD histories. Women with previous PTDs were at greatly increased risk of recurrent PTD (risk ratio ¼ 5.6, 95% confidence interval: 5.5, 5.8); however, their PTD risk was unaffected by a partner's history of preterm children with other women. PTDs to a woman's mother, full sisters, or maternal half-sisters also increased her PTD risk (risk ratio ¼ 1.6, 95% confidence interval: 1.5, 1.6), whereas PTDs in her paternal half-sisters, the female partners of her male relatives, or members of her partner's family did not affect her PTD risk. Inheritance patterns were similar for all gestational ages from very early through late PTD. The substantial portion of PTD risk explained by effects passed through the female line suggests a role for either imprinting or mitochondrial inheritance.

Consanguinity: A Risk Factor for Preterm Birth at Less Than 33 Weeks' Gestation

American Journal of Epidemiology, 2010

Consanguinity promotes homozygosity of recessive susceptibility gene variants and can be used to investigate a recessive component in diseases whose inheritance is uncertain. The objective of this study was to assess the association between consanguinity and preterm birth (PTB), stratified by gestational age and clinical presentation (spontaneous vs. medically indicated). Data were collected on 39,745 singleton livebirths without major birth defects, admitted to 19 hospitals in Lebanon, from September 2003 to December 2007. Deliveries before completed 33 weeks' gestation and deliveries at 33-36 weeks' gestation were compared, with respect to cousin marriage, with those after completed 36 weeks' gestation by using multinomial multiple logistic regression. Overall, infants of consanguineous parents had a statistically significant 1.6-fold net increased risk of being born at less than 33 weeks' gestation compared with infants of unrelated parents. This association was statistically significant only with spontaneous PTB. There was no increased risk of being born at 33-36 weeks' gestation associated with consanguinity for both clinical presentations of PTB. Our findings support a genetic contribution to early onset PTB and suggest that early PTB should be targeted in future genetic studies rather than the classic lumping of all births less than 37 weeks' gestation. consanguinity; developing countries; genetics; premature birth Abbreviations: CI, confidence interval; PTB, preterm birth.

Genes, exposures, and interactions on preterm birth risk: an exploratory study in an Argentine population

Journal of Community Genetics

Preterm birth (PTB) is the main condition related to perinatal morbimortality worldwide. The aim of this study was to identify associations of spontaneous PTB with genetic variants, exposures, and interactions between and within them. We carried out a retrospective case-control study including parental sociodemographic and obstetric data, and fetal genetic variants. We sequenced the coding and flanking regions of five candidate genes from the placental blood cord of 69 preterm newborns and 61 at term newborns. We identify the characteristics with the greatest predictive power of PTB using penalized regressions, in which we include exposures (E), genetic variants (G), and two-way interactions. Few prenatal visits (< 5

Contribution of Risk Factors to Extremely, Very and Moderately Preterm Births – Register-Based Analysis of 1,390,742 Singleton Births

PLoS ONE, 2013

Background: Preterm birth, defined as birth occurring before 37 weeks gestation, is one of the most significant contributors to neonatal mortality and morbidity, with long-term adverse consequences for health, and cognitive outcome. Objective: The aim of the present study was to identify risk factors of preterm birth (#36+6 weeks gestation) among singleton births and to quantify the contribution of risk factors to socioeconomic disparities in preterm birth. Methods: A retrospective population-based case-control study using data derived from the Finnish Medical Birth Register. A total population of singleton births in Finland from 198722010 (n = 1,390,742) was reviewed. Results: Among all singleton births (n = 1,390,742), 4.6% (n = 63,340) were preterm (,37 weeks), of which 0.3% (n = 4,452) were classed as extremely preterm, 0.4% (n = 6,213) very preterm and 3.8% (n = 54,177) moderately preterm. Smoking alone explained up to 33% of the variation in extremely, very and moderately preterm birth incidence between high and the low socioeconomic status (SES) groups. Reproductive risk factors (placental abruption, placenta previa, major congenital anomaly, amniocentesis, chorionic villus biopsy, anemia, stillbirth, small for gestational age (SGA) and fetal sex) altogether explained 7.7225.0% of the variation in preterm birth between SES groups. Conclusions: Smoking explained about one third of the variation in preterm birth groups between SES groups whereas the contribution of reproductive risk factors including placental abruption, placenta previa, major congenital anomaly, amniocentesis, chorionic villus biopsy, anemia, stillbirth, SGA and fetal sex was up to one fourth.