Browsing by Author "Reynolds E"

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    Knowledge, attitudes and behaviours towards vitamin D and sun exposure of parents of infants and young children and health professionals in New Zealand.
    (SAGE Publications, 2023-07-02) Von Hurst P; Mazahery H; Reynolds E; Thomson A; Franklin M; Conlon C
    BACKGROUND: Vitamin D deficiency may result in adverse long-term health consequences in adulthood if it occurs during fetal development, infancy and childhood. To effectively improve vitamin D status of infants/toddlers, there needs to be knowledge and awareness of vitamin D among parents and health professionals. AIMS: The aim of this study was to investigate parents' and health professionals' knowledge, attitudes and behaviours towards vitamin D and sun exposure over two timepoints. METHODS: The study was an ecological study over two timepoints (Parents 2009 and 2021; Health professionals 2010 and 2019) and used an online questionnaire. RESULTS: The analysis included 9834 parents (2009 n = 8032; 2021 n = 1802) and 283 health professionals (2010 n = 193; 2019 n = 90). Parents and health professionals had good knowledge of vitamin D sources, roles and risk factors for deficiency over two timepoints. There were however some confusions regarding the vitamin D content of breast milk, exclusive breastfeeding as a risk factor for deficiency, and ineffectiveness of sun exposure through glass windows in relation to vitamin D synthesis. In 2019, only 37% of health professionals indicated giving advice on supplements for infants/toddlers. Most parents and health professionals believed there was not enough information available to parents regarding vitamin D (>90%) and that skin cancer prevention messages make it difficult to get information about vitamin D across (>70%). CONCLUSION: Although parents and health professionals had good knowledge in most areas, knowledge of some specific sources and risk factors for vitamin D deficiency was poor.
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    Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle
    (BioMed Central Ltd, 2021-07-20) Tiplady KM; Lopdell TJ; Reynolds E; Sherlock RG; Keehan M; Johnson TJJ; Pryce JE; Davis SR; Spelman RJ; Harris BL; Garrick DJ; Littlejohn MD
    BACKGROUND: Fourier-transform mid-infrared (FT-MIR) spectroscopy provides a high-throughput and inexpensive method for predicting milk composition and other novel traits from milk samples. While there have been many genome-wide association studies (GWAS) conducted on FT-MIR predicted traits, there have been few GWAS for individual FT-MIR wavenumbers. Using imputed whole-genome sequence for 38,085 mixed-breed New Zealand dairy cattle, we conducted GWAS on 895 individual FT-MIR wavenumber phenotypes, and assessed the value of these direct phenotypes for identifying candidate causal genes and variants, and improving our understanding of the physico-chemical properties of milk. RESULTS: Separate GWAS conducted for each of 895 individual FT-MIR wavenumber phenotypes, identified 450 1-Mbp genomic regions with significant FT-MIR wavenumber QTL, compared to 246 1-Mbp genomic regions with QTL identified for FT-MIR predicted milk composition traits. Use of mammary RNA-seq data and gene annotation information identified 38 co-localized and co-segregating expression QTL (eQTL), and 31 protein-sequence mutations for FT-MIR wavenumber phenotypes, the latter including a null mutation in the ABO gene that has a potential role in changing milk oligosaccharide profiles. For the candidate causative genes implicated in these analyses, we examined the strength of association between relevant loci and each wavenumber across the mid-infrared spectrum. This revealed shared association patterns for groups of genomically-distant loci, highlighting clusters of loci linked through their biological roles in lactation and their presumed impacts on the chemical composition of milk. CONCLUSIONS: This study demonstrates the utility of FT-MIR wavenumber phenotypes for improving our understanding of milk composition, presenting a larger number of QTL and putative causative genes and variants than found from FT-MIR predicted composition traits. Examining patterns of significance across the mid-infrared spectrum for loci of interest further highlighted commonalities of association, which likely reflects the physico-chemical properties of milk constituents.