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- Helgeland, Øyvind, et al.
(författare)
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Genome-wide association study reveals dynamic role of genetic variation in infant and early childhood growth.
- 2019
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Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1
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Tidskriftsartikel (refereegranskat)abstract
- Infant and childhood growth are dynamic processes with large changes in BMI during development. By performing genome-wide association studies of BMI at 12 time points from birth to eight years (9286 children, 74,105 measurements) in the Norwegian Mother, Father, and Child Cohort Study, replicated in 5235 children, we identify a transient effect in the leptin receptor (LEPR) locus: no effect at birth, increasing effect in infancy, peaking at 6-12 months (rs2767486, P6m=2.0×10-21, β6m=0.16 sd-BMI), and little effect after age five. We identify a similar transient effect near the leptin gene (LEP), peaking at 1.5 years (rs10487505, P1.5y=1.3×10-8, β1.5y=0.079 sd-BMI). Both signals are protein quantitative trait loci for soluble-LEPR and LEP in plasma in adults independent from adult traits mapped to the respective genes, suggesting key roles of common variation in the leptin signaling pathway for healthy infant growth.
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| 2. |
- Murray, Sarah R, et al.
(författare)
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Geographical differences in preterm delivery rates in Sweden: a population-based cohort study.
- 2019
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Ingår i: Acta obstetricia et gynecologica Scandinavica. - : Wiley. - 1600-0412 .- 0001-6349. ; 98:1, s. 106-116
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Tidskriftsartikel (refereegranskat)abstract
- Preterm delivery is a major global public health challenge. The objective of this study was to determine how the preterm delivery rates differ throughout a country of very high human-development index and to explore rural versus urban environmental and socio-economic factors which might be responsible for this variation.A population-based study was performed using data from the Swedish Medical Birth Register 1998 to 2013. Sweden was chosen as a model because of its validated routinely collected data and availability of individual social data. The total population comprised 1 335 802 singleton births. Multiple linear regression was used to adjust gestational age for known risk factors (maternal smoking, ethnicity, maternal education, maternal age, height, fetal gender, maternal diabetes, maternal hypertension and parity). A second and a third model were subsequently fitted allowing separate intercepts for each municipality (as fixed or random effects). Adjusted gestational ages were converted to preterm delivery rates and mapped to maternal residential municipalities. Additionally, the effects of six rural versus urban environmental and socio-economic factors on gestational age were tested using simple weighted linear regression.The study population preterm delivery rate was 4.12%. Marked differences from the overall preterm delivery rate were observed (rate estimates ranged from 1.73% - 6.31%). Statistical significance of this heterogeneity across municipalities was confirmed by a chi-squared test (p<0.001). Around 20% of the gestational age variance explained by the full model (after adjustment for known variables described above) could be attributed to municipality-level effects. In addition, gestational age was found to be longer in areas with higher fraction of built upon land and other urban features.After adjusting for known risk factors large geographical differences in rates of preterm delivery remain. Additional analyses to look at the effect of environmental and socio-economic factors on gestational age revealed an increased gestational age in urban areas. Future research strategies could focus on investigating the urbanity effect to try to explain the preterm delivery variation across countries with a very high human-development index. This article is protected by copyright. All rights reserved.
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