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. 2019 Oct 10;10:994. doi: 10.3389/fgene.2019.00994

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Copyright © 2019 de Toro-Martín, Guénard, Bouchard, Tremblay, Pérusse and Vohl

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Obesity prevalence consistently increased across polygenic risk score PRS₂₃₁ quintiles. Forest plot for obesity prevalence, defined as a binary variable (body mass index ≥ 30kg/m²), across quintiles in the three study samples. From up to bottom: QFS discovery (red), QFS validation (green) and FAS replication (green) samples. Odds ratio (OR) and 95% confidence intervals (95%CI) are calculated for quintiles Q2, Q3, Q4, and Q5 compared to the lowest quintile Q1. Cut-off stands for body mass index (BMI) cut-off points of each quintile. P values were obtained by means of generalized linear mixed models (binomial with logit link function) models including age, sex, and PRS₂₃₁ quintiles as fixed effects and family relatedness as random effect, with flexible covariance structure to account for family relatedness. QFS and FAS stand for Quebec Family Study and Fatty Acid Sensor Study, respectively.