4.7 Article

Common and Rare PCSK9 Variants Associated with Low-Density Lipoprotein Cholesterol Levels and the Risk of Diabetes Mellitus: A Mendelian Randomization Study

Journal

Publisher

MDPI
DOI: 10.3390/ijms231810418

Keywords

PCSK9 gene; Mendelian randomization; low-density lipoprotein cholesterol level; Taiwan biobank; diabetes mellitus

Funding

  1. Buddhist Tzu Chi Medical Foundation [TCMF-EP 111-02]
  2. Ministry of Science and Technology [MOST 108-2314-B-303-026-MY3]
  3. Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation [TCRD-TPE-MOST-110-10, TCRD-TPE-109-RT-1]

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The study found that PCSK9 is linked to LDL-C levels and the risk of diabetes, with common and rare variants of PCSK9 showing significant associations with LDL-C levels and diabetes risk. Mendelian randomization analysis revealed an inverse association between LDL-C levels and diabetes mellitus.
PCSK9 is a candidate locus for low-density lipoprotein cholesterol (LDL-C) levels. The cause-effect relationship between LDL-C levels and diabetes mellitus (DM) has been suggested to be mechanism-specific. To identify the role of PCSK9 and genome-wide association study (GWAS)-significant variants in LDL-C levels and the risk of DM by using Mendelian randomization (MR) analysis, a total of 75,441 Taiwan Biobank (TWB) participants was enrolled for a GWAS to determine common and rare PCSK9 variants and their associations with LDL-C levels. MR studies were also conducted to determine the association of PCSK9 variants and LDL-C GWAS-associated variants with DM. A regional plot association study with conditional analysis of the PCSK9 locus revealed that PCSK9 rs10788994, rs557211, rs565436, and rs505151 exhibited genome-wide significant associations with serum LDL-C levels. Imputation data revealed that three rare nonsynonymous mutations-namely, rs151193009, rs768846693, and rs757143429-exhibited genome-wide significant association with LDL-C levels. A stepwise regression analysis indicated that seven variants exhibited independent associations with LDL-C levels. On the basis of two-stage least squares regression (2SLS), MR analyses conducted using weighted genetic risk scores (WGRSs) of seven PCSK9 variants or WGRSs of 41 LDL-C GWAS-significant variants revealed significant association with prevalent DM (p = 0.0098 and 5.02 x 10(-7), respectively), which became nonsignificant after adjustment for LDL-C levels. A sensitivity analysis indicated no violation of the exclusion restriction assumption regarding the influence of LDL-C-level-determining genotypes on the risk of DM. Common and rare PCSK9 variants are independently associated with LDL-C levels in the Taiwanese population. The results of MR analyses executed using genetic instruments based on WGRSs derived from PCSK9 variants or LDL-C GWAS-associated variants demonstrate an inverse association between LDL-C levels and DM.

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