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No evidence of interaction between FADS2 genotype and breastfeeding on cognitive or other traits in the UK Biobank

Centorame, G.; Warrington, N. M.; Hemani, G.; Wang, G.; Davey Smith, G.; Evans, D.

2024-05-29 genetic and genomic medicine
10.1101/2024.05.29.24308099 medRxiv
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BackgroundBreastfeeding is hypothesised to benefit child health and cognitive functioning by providing long-chain polyunsaturated fatty acids (LC-PUFA), which are essential for brain development. In 2007, Caspi et al. found evidence in two cohorts for an interaction between genetic variation in the FADS2 gene (a gene involved in fatty acid metabolism) and breast feeding on IQ. However, subsequent studies have provided mixed evidence for the existence of an interaction. ObjectiveTo investigate the relationship between genetic variation in the FADS2 region, breastfeeding, and their interaction on traits putatively affected by their interplay in a large, population-based cohort with appropriate control for confounders in genetic associations. MethodsWe tested for the interaction in up to 335,650 individuals from the UK Biobank, over a range of cognitive functioning tests, as well as educational attainment and other traits thought to be influenced by breastfeeding, including cardiometabolic traits, reproductive success, and atopic allergy. ResultsFADS2 alleles associated with an increase in docosahexaenoic acid (DHA) in blood serum (the C allele of rs174575) were associated with decreased verbal-numerical reasoning ( p= 2.28x 10-5) and triglycerides ( p= 1. 40x 10-41), increased reproductive success ( p= 3. 40x 10-5), total cholesterol ( p= 5. 28x 10-36), HDL ( p= 1. 42x 10- 51), and LDL cholesterol ( p= 1. 46x 10- 21). We observed no evidence of an interaction in any of the traits, regardless of the modelling strategy. ConclusionsWe failed to replicate any breastfeeding by genotype interactions on any cognitive or non-cognitive traits. We postulate that the previous positive findings are likely to be spurious, perhaps due to lack of appropriate control for latent population structure.

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