Genotype-environment interaction on human cognitive function conditioned on the status of breastfeeding and maternal smoking around birth

Title
Genotype-environment interaction on human cognitive function conditioned on the status of breastfeeding and maternal smoking around birth
Publication Date
2017
Author(s)
Lee, Sang Hong
Weerasinghe, W M Shalanee P
Van Der Werf, Julius H
( author )
OrcID: https://orcid.org/0000-0003-2512-1696
Email: jvanderw@une.edu.au
UNE Id une-id:jvanderw
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Nature Publishing Group
Place of publication
United Kingdom
DOI
10.1038/s41598-017-06214-y
UNE publication id
une:22697
Abstract
We estimated genotype by environment interaction (G × E) on later cognitive performance and educational attainment across four unique environments, i.e. 1) breastfed without maternal smoking, 2) breastfed with maternal smoking, 3) non-breastfed without maternal smoking and 4) non-breastfed with maternal smoking, using a novel design and statistical approach that was facilitated by the availability of datasets with the genome-wide single nucleotide polymorphisms (SNPs). There was significant G × E for both fluid intelligence (p-value = 1.0E-03) and educational attainment (p-value = 8.3E-05) when comparing genetic effects in the group of individuals who were breastfed without maternal smoking with those not breastfed without maternal smoking. There was also significant G × E for fluid intelligence (p-value = 3.9E-05) when comparing the group of individuals who were breastfed with maternal smoking with those not breastfed without maternal smoking. Genome-wide significant SNPs were different between different environmental groups. Genomic prediction accuracies were significantly higher when using the target and discovery sample from the same environmental group than when using those from the different environmental groups. This finding demonstrates G × E has important implications for future studies on the genetic architecture, genome-wide association studies and genomic predictions.
Link
Citation
Scientific Reports, v.7, p. 1-12
ISSN
2045-2322
Start page
1
End page
12

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