Journal article
Can adult polygenic scores improve prediction of body mass index in childhood?
K Lange, JA Kerr, T Mansell, JM O’Sullivan, DP Burgner, SA Clifford, T Olds, T Dwyer, M Wake, R Saffery
International Journal of Obesity | SPRINGERNATURE | Published : 2022
Abstract
Background/objectives: Modelling genetic pre-disposition may identify children at risk of obesity. However, most polygenic scores (PGSs) have been derived in adults, and lack validation during childhood. This study compared the utility of existing large-scale adult-derived PGSs to predict common anthropometric traits (body mass index (BMI), waist circumference, and body fat) in children and adults, and examined whether childhood BMI prediction could be improved by combining PGSs and non-genetic factors (maternal and earlier child BMI). Subjects/methods: Participants (n = 1365 children, and n = 2094 adults made up of their parents) were drawn from the Longitudinal Study of Australian Children..
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Awarded by Australian Institute of Family Studies