Identification of risk interaction of hypovitaminosis D genetic and environmental factors among Hong Kong infants and toddlers

Dr Tsang, Hing Wai   (Principal Investigator (PI))

Professor Fong Daniel Yee Tak   (Co-Investigator)

Professor Sham Pak Chung   (Co-Investigator)

Dr Chan Kate Ching Ching   (Co-Investigator)

Professor Yang Wanling   (Co-Investigator)

Professor Wong Ian Chi Kei   (Co-Investigator)

Dr Tung Tsz Suen   (Co-Investigator)

Dr Tung Joanna   (Co-Investigator)

Professor Ip Patrick   (Co-Investigator)

Professor Chan Godfrey Chi Fung   (Co-Investigator)

24

2022-01-22

1152500

Identification of risk interaction of hypovitaminosis D genetic and environmental factors among Hong Kong infants and toddlers

Environmental factors, Genetic factors, Hypovitaminosis D, Infants, toddlers

Others - Medicine, Dentistry and Health

18192311

Health and Medical Research Fund - Full Grant

2020

On-going

Objectives: Identification of specific genetic and environmental risk interactions in suggestion to prevent and treat hypovitaminosis D in Hong Kong infants. Hypothesis to be tested: Infancy serum vitamin D affects by genetic factors and interacts with the local environmental factors that lead to vitamin D deficiency Design and subjects: The proposed study will be a multi-center cross-sectional study on a 847 infants and toddlers cohort, recruited in MCHC. EDTA blood will be collected for DNA extraction for genotyping. The selected set of genetic data will be associated with the previously captured environmental data to further enhance the findings with comprehensive and local genetic-environmental interacting factors. instruments: Real-time PCR for genotyping by allelic discrimination interventions: 1. Formulate bases of postnatal screening 2. Improved set of risk factors for easy high-risk infants identification 3. Solid pharmacogenetic evidence in defining the dose of supplementation 4. Additional diagnostics evidence with unexpected clinical conditions caused by supplementation main outcome measures: Genotypes of vitamin D-related genetic variants, Serum vitamin D level of infants and toddlers data analysis: Data will be presented as mean or median or frequency. Risk alleles identified from significantly lowered vitamin D subgroups. Hardy Weinberg Equilibrium (HWE) by Chi-square test; Interaction variable of MAF and environmental variables as an independent variable by linear/logistic regression to identify significant factors. expected results: Risk haplotype will be identified and associated with risk environmental factors, affecting serum 25(OH)D, which leads to vitamin D deficiency. A list of comprehensive local risk factors will be generated.