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Genetic determinants of serum lipid levels in Chinese subjects: a population-based study in Shanghai, China

  • GENETIC EPIDEMIOLOGY
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Abstract

We examined the associations between 21 single nucleotide polymorphisms (SNPs) of eight lipid metabolism genes and lipid levels in a Chinese population. This study was conducted as part of a population-based study in China with 799 randomly selected healthy residents who provided fasting blood and an in-person interview. Associations between variants and mean lipid levels were examined using a test of trend and least squares mean test in a general linear model. Four SNPs were associated with lipid levels: LDLR rs1003723 was associated with total cholesterol (P-trend = 0.002) and LDL (P-trend = 0.01), LDLR rs6413503 was associated with total cholesterol (P-trend = 0.05), APOB rs1367117 was associated with apoB (P-trend = 0.02), and ABCB11 rs49550 was associated with total cholesterol (P-trend = 0.01), triglycerides (P-trend = 0.01), and apoA (P-trend = 0.01). We found statistically significant effects on lipid levels for LDLR rs6413503 among those with high dairy intake, LPL rs263 among those with high allium vegetable intake, and APOE rs440446 among those with high red meat intake. We identified new associations between SNPs and lipid levels in Chinese previously found in Caucasians. These findings provide insight into the role of lipid metabolism genes, as well as the mechanisms by which these genes may be linked with disease.

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Acknowledgements

This research was supported by the Intramural Research Program of the NIH, National Cancer Institute; National Center on Minority Health, NIH; and Center to Reduce Cancer Disparities, NCI, NIH.

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Authors and Affiliations

  1. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 6120 Executive Blvd., EPS 8011, MSC 7240, Bethesda, MD, 20892, USA

    Gabriella Andreotti, Idan Menashe, Stephen Chanock, Philip S. Rosenberg & Ann W. Hsing

  2. Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA

    Jinbo Chen

  3. Department of Discovery Medicine and Epidemiology, AstraZeneca, Wilmington, DE, USA

    Shih-Chen Chang

  4. Department of Pathology, M.D. Anderson Cancer Center, Houston, TX, USA

    Asif Rashid

  5. Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China

    Yu-Tang Gao

  6. Department of Surgery, Ruijin Hospital, Second Medical University, Shanghai, China

    Tian-Quan Han

  7. Department of Epidemiology, University of Washington, Seattle, WA, USA

    Lori C. Sakoda

  8. Core Genotyping Facility, National Cancer Institute, National Institutes of Health, Gaithersburg, MD, USA

    Stephen Chanock

  9. Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA

    Stephen Chanock

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  1. Gabriella Andreotti
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  2. Idan Menashe
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  11. Ann W. Hsing
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Correspondence to Gabriella Andreotti.

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Andreotti, G., Menashe, I., Chen, J. et al. Genetic determinants of serum lipid levels in Chinese subjects: a population-based study in Shanghai, China. Eur J Epidemiol 24, 763–774 (2009). https://doi.org/10.1007/s10654-009-9402-3

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  • DOI: https://doi.org/10.1007/s10654-009-9402-3

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