Association of lipoprotein lipase genetic risk score with cardiometabolic risk indicators in a healthy Qatari population using the Qatar Biobank data

Figures

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  Fig 1. Flowchart of participant selection from the Qatar Biobank dataset. A total of 14,669 Qatari adults were initially considered. After excluding ineligible participants (n = 26; 20 pregnant women and 6 with missing dietary intake), 14,643 participants remained. Further exclusions were applied for non-fasting blood samples (n = 5,440), diagnosed metabolic conditions (n = 2,012), and missing age data (n = 272); the final analytic sample included 6,919 individuals.

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  Fig 2. Association between LPL-GRS and Fat-Free Mass Index (FFMI) in the Qatar Biobank participants. The bar plot shows the adjusted mean (± SE) of log-transformed FFMI across low (≤5 risk alleles) and high (>5 risk alleles) LPL genetic risk score groups. The model was adjusted for age, sex, and BMI. The high GRS was significantly associated with lower FFMI (β = –0.064, p = 0.029).

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  Fig 3. Association between LPL-GRS and Fasting Insulin in the Qatar Biobank participants. Adjusted mean (± SE) fasting insulin levels are shown by LPL-GRS category. Linear regression was adjusted for age, sex, and BMI. A positive association was observed between the high GRS and fasting insulin (β = 0.035, p = 0.016).

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  Fig 4. Association between LPL-GRS and High-Density Lipoprotein (HDL) in the Qatar Biobank participants. The bar plot displays the adjusted mean (± SE) of log-transformed HDL levels by the LPL-GRS group. The high GRS was significantly associated with lower HDL concentrations (β = –0.025, p = 0.001) after adjustment for age, sex, and BMI.

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  Fig 5. Association between LPL-GRS and Triacylglycerol (TG) in the Qatar Biobank participants. Adjusted (mean ± SE) log-transformed TG concentrations are presented across low and high GRS groups. The LPL-GRS was associated with increased log-transformed TG concentrations (β = 0.027, p = 0.0003) after adjusting for age, sex, and BMI.

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  Fig 6. Association between LPL-GRS and Systolic Blood Pressure (SBP) in the Qatar Biobank participants. The bar plot presents adjusted mean (± SE) SBP by GRS category. A significant association was found between higher GRS and increased SBP (β = 0.007, p = 0.002), after adjusting for age, sex, and BMI.