Hui Wang1, Yang Wang1,2, Jie-Yun Song3, Ping-Ping Zhang1, Qi-Ying Song1, Chen-Xiong Li1, Li Li4, Hai-Jun Wang5. 1. Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China. 2. Hospital of Health Science Center, Peking University, Beijing, China. 3. Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China. 4. Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, China. 5. Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China. whjun@pku.edu.cn.
Abstract
OBJECTIVE: Metabolic disturbance of lysophosphatidylcholine (LPC) is related with dyslipidemia. Therefore, eight single-nucleotide polymorphisms (SNPs) were selected from LPC metabolic enzymes to study their associations with obesity and serum levels of lipids. METHODS: A total of 3305 children were recruited from four independent studies. Eight SNPs of LPC metabolic enzymes were selected and genotyped with the matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS). The multivariable linear regression model was applied to detect the associations of eight SNPs with obesity-related phenotypes and levels of lipids in each study. Meta-analyses were used to combine the results of four studies. RESULTS: Only SNP rs4420638 of APOC-1 gene was associated with serum lipids even after Bonferroni correction. The rs4420638 was positively associated with TC (β = 0.15, P = 8.59 × 10-9) and low-density-lipoprotein-cholesterol (LDL-C, β = 0.16, P = 9.98 × 10-14) individually. CONCLUSION: The study firstly revealed the association between APOC-1/rs4420638 and levels of serum lipids in Chinese children, providing evidence for susceptible gene variants of dyslipidemia.
OBJECTIVE: Metabolic disturbance of lysophosphatidylcholine (LPC) is related with dyslipidemia. Therefore, eight single-nucleotide polymorphisms (SNPs) were selected from LPC metabolic enzymes to study their associations with obesity and serum levels of lipids. METHODS: A total of 3305 children were recruited from four independent studies. Eight SNPs of LPC metabolic enzymes were selected and genotyped with the matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS). The multivariable linear regression model was applied to detect the associations of eight SNPs with obesity-related phenotypes and levels of lipids in each study. Meta-analyses were used to combine the results of four studies. RESULTS: Only SNP rs4420638 of APOC-1 gene was associated with serum lipids even after Bonferroni correction. The rs4420638 was positively associated with TC (β = 0.15, P = 8.59 × 10-9) and low-density-lipoprotein-cholesterol (LDL-C, β = 0.16, P = 9.98 × 10-14) individually. CONCLUSION: The study firstly revealed the association between APOC-1/rs4420638 and levels of serum lipids in Chinese children, providing evidence for susceptible gene variants of dyslipidemia.