Consent to participate (Not applicable) Consent for publication (Not applicable)
Availability of data and materialThe whole genome sequence data obtained in this study was deposited at DDBJ/EMBL/GenBank under BioProject Accession: PRJDB11924.
Code availability (Not applicable) Author Contributions Chunqi Jiang conceived, designed and performed the experiments, analyzed the data, visualized the data, drafted and reviewed the manuscript. Mami Tanaka and Sayo Nishikawa performed the experiments, reviewed the manuscript.
The results obtained by means of the sensor were compared with subjective, clinical evaluations by a Clinician who scored both roughness and hardness of the skin. Good agreement was observed between clinical assessment of the skin and the two parameters generated using the Haptic Finger. Use of this sensor could prove extremely valuable in cosmetic research where skin surface texture (in terms of tactile properties) is difficult to measure.
Objective:
To analyze how parental education modifies the genetic and environmental variances of body mass index (BMI) from infancy to old age in three geographic-cultural regions.
Methods:
A pooled sample of 29 cohorts including 143 499 twin individuals with information on parental education and BMI from 1 to 79 years (299 201 BMI measures) was analyzed by genetic twin modeling.
Results:
Until 4 years of age, parental education was not consistently associated with BMI. Thereafter, higher parental education was associated with lower BMI in males and females. Total and additive genetic variances of BMI were smaller in the offspring of highly educated parents than in those whose parents had low education. Especially in North American and Australian children, environmental factors shared by co-twins also contributed to the higher BMI variation in the low educational category. In Europe and East Asia, the associations of parental education with mean BMI and BMI variance were weaker than in North America and Australia.
Conclusions:
Lower parental education is associated with higher mean and larger genetic variance of BMI after early childhood, especially in the obesogenic macro-environment. The interplay between genetic predisposition, childhood social environment and macro-social context is important for socio-economic differences in BMI.
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