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Common genetic variants associated with lipid profiles in a Chinese pediatric population

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Abstract

Genome-wide association (GWA) studies have identified many candidate genes that are associated with blood lipid and lipoprotein concentrations. In this study, we want to know whether the results from European for lipid-related single-nucleotide polymorphisms (SNPs) are generalizable to Chinese children. We genotyped seven SNPs in Chinese school-age children (n = 3,503) and assessed the associations of these SNPs with lipids profiles and dyslipidemia. After false discovery rate correction, of the seven SNPs, six (rs2144300, p ~ 9.30 × 10−3; rs1260333, p ~ 6.20 × 10−11; rs1260326, p ~ 8.73 × 10−11; rs10105606, p ~ 0.010; rs1748195, p ~ 0.016 and rs964184, p ~ 2.33 × 10−13) showed strong association with triglycerides. Three SNPs (rs1260333, p ~ 3.30 × 10−3; rs1260326, p ~ 4.39 × 10−3 and rs2954029, p ~ 6.36 × 10−4) showed strong association with total cholesterol. Two SNPs (rs10105606, p ~ 6.66 × 10−4 and rs1748195, p ~ 2.55 × 10−3) showed strong association with high density lipoprotein cholesterol. Four SNPs (rs1260333, p ~ 0.017; rs1260326, p ~ 0.013; rs2954029, p ~ 1.09 × 10−3 and rs964184, p ~ 5.51 × 10−3) showed strong association with low density lipoprotein cholesterol. There were significant associations between rs1260333 (OR is 0.82, 95 % CI 0.74–0.92, p ~ 3.96 × 10−4), rs1260326 (OR is 0.82, 95 % CI 0.74–0.92, p ~ 5.31 × 10−4), and rs964184 (OR is 1.36, 95 % CI 1.20–1.55, p ~ 1.89 × 10−6) and dyslipidemia. These SNPs generated strong combined effects on lipid profiles and dyslipidemia. Our study demonstrates that SNPs associated with lipids from European GWA studies also play roles in Chinese children, which broadened the understanding of lipids metabolism.

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Abbreviations

GALNT2 :

Polypeptide N-acetyl galactosaminyl transferase 2

GCKR :

Glucokinase (hexokinase 4) regulator

LPL :

Lipoprotein lipase

TRIB1 :

Tribbles homolog 1 (Drosophila)

ANGPTL3 :

Angiopoietin-like 3

MAF:

Minor allele frequency

BMI:

Body mass index

OR:

Odds ratio

CI:

Confidence interval

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Acknowledgments

We gratefully acknowledge the contributions of the data collection team and the individuals who participated in this study, both children and adults. We thank Zhang Meixian (Department of Epidemiology, Capital Institute of Pediatrics, Beijing), Liu Xin (Beijing Hypertension League Institute) and Zhang Yongzhi (Shantou University Medical College) for technical assistance. This work was supported by the National Basic Research Program (973 Program) of China (2013CB530605), National “Twelfth Five-Year” Plan for Science and Technology Support Program (2012BAI03B03), Beijing Key Science and Technology Program (D111100000611002), Beijing Health System Leading Talent Grant (2009-1-08).

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Authors and Affiliations

  1. Graduate School of Peking Union Medicine College, Beijing, 100730, China

    Yue Shen

  2. Institute of Maternal and Child Health Care, School of Public Health, Shandong University, Jinan, 250100, Shandong, China

    Bo Xi

  3. Department of Epidemiology, Capital Institute of Pediatrics, No. 2 Yabao Road, Chaoyang District, Beijing, 100020, China

    Yue Shen, Xiaoyuan Zhao, Hong Cheng, Dongqing Hou, Lijun Wu & Jie Mi

  4. Laboratory of Human Genetics, Beijing Hypertension League Institute, No. 24 Shijingshan Road, Shijingshan District, Beijing, 100043, China

    Xingyu Wang

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  1. Yue Shen
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Shen, Y., Xi, B., Zhao, X. et al. Common genetic variants associated with lipid profiles in a Chinese pediatric population. Hum Genet 132, 1275–1285 (2013). https://doi.org/10.1007/s00439-013-1332-1

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