# Triglycerides and Hypertension in a Korean Population: An Individual-Level Mendelian Randomization Analysis

**Authors:** Ximei Huang, Minjoo Kim

PMC · DOI: 10.3390/nu18040633 · Nutrients · 2026-02-14

## TL;DR

This study examines the link between triglycerides and hypertension in a Korean population using genetic data, finding a strong observational link but no clear causal evidence.

## Contribution

The study provides new insights into the causal relationship between triglycerides and hypertension in East Asian populations using Mendelian randomization.

## Key findings

- Observational analysis showed a strong positive association between triglyceride levels and hypertension.
- Mendelian randomization estimates were not statistically significant, suggesting limited genetic evidence for a causal effect.
- The study highlights the need for stronger genetic instruments to clarify causal relationships in East Asian populations.

## Abstract

Background: Although elevated triglyceride (TG) levels are consistently associated with hypertension in observational studies, whether TGs have a causal effect on hypertension remains uncertain, and evidence in East Asian populations is limited. Methods: We analyzed 2159 Korean adults (20–86 years) whose individual-level genetic and phenotypic data were obtained from a cross-sectional health check cohort. Candidate TG-associated genetic variants were identified using genome-wide association analysis and evaluated as instrumental variables (IVs). An individual-level, two-stage IV Mendelian randomization (MR) framework was applied to assess the potential effect of TGs on hypertension, alongside conventional observational analyses using logistic regression. Results: Three candidate TG-associated single-nucleotide polymorphisms (SNPs)—rs78115082 (TRPC7), rs117867615 (TTLL1), and rs34463296 (LINC03019)—were identified and combined to construct a weighted genetic risk score (GRS). Although all the instruments met the conventional strength criteria (F statistics > 10), they explained only a modest proportion of the variance in TG levels (partial R2, 0.008–0.020). Observational analyses showed a strong positive association between TG levels and hypertension (crude odds ratio [OR] = 2.12; 95% confidence interval [CI]: 1.76–2.54; adjusted OR = 1.43; 95% CI: 1.16–1.75). In contrast, MR estimates based on individual SNPs and the GRS were directionally positive but statistically nonsignificant, with wide CIs crossing the null, indicating limited precision. Conclusions: In this Korean cohort, observational analyses demonstrated a robust association between TG levels and hypertension, whereas individual-level MR provided inconclusive genetic evidence for a causal effect under the available instruments. The difference between the observational and genetic estimates is compatible with the finding that TG levels reflect broader cardiometabolic dysregulation rather than acting as an isolated causal determinant of hypertension. These findings underscore the need for larger studies with stronger, externally derived instruments to refine the causal inference in East Asian populations.

## Linked entities

- **Genes:** TRPC7 (transient receptor potential cation channel subfamily C member 7) [NCBI Gene 57113], TTLL1 (TTL family tubulin polyglutamylase complex subunit L1) [NCBI Gene 25809], LINC03019 (long intergenic non-protein coding RNA 3019) [NCBI Gene 340357]

## Full-text entities

- **Genes:** APOB (apolipoprotein B) [NCBI Gene 338] {aka FCHL2, FLDB, LDLCQ4, apoB-100, apoB-48}, TRPC7 (transient receptor potential cation channel subfamily C member 7) [NCBI Gene 57113] {aka TRP7}, SCARA5 (scavenger receptor class A member 5) [NCBI Gene 286133] {aka NET33, Tesr}, AOPEP (aminopeptidase O (putative)) [NCBI Gene 84909] {aka AP-O, APO, C90RF3, C9orf3, DYT31, ONPEP}, APOA1 (apolipoprotein A1) [NCBI Gene 335] {aka AMYLD3, HPALP2, apo(a)}, TTLL1 (TTL family tubulin polyglutamylase complex subunit L1) [NCBI Gene 25809] {aka C22orf7, HS323M22B, TPGS3}, APOA5 (apolipoprotein A5) [NCBI Gene 116519] {aka APOAV, RAP3}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, ABLIM3 (actin binding LIM protein family member 3) [NCBI Gene 22885] {aka HMFN1661}
- **Diseases:** adiposity (MESH:D018205), obesity (MESH:D009765), renal disease (MESH:D007674), TG (MESH:C566031), injury to (MESH:D014947), liver disease (MESH:D008107), inflammatory (MESH:D007249), cardiometabolic dysregulation (MESH:D024821), Hypertension (MESH:D006973), dyslipidemia (MESH:D050171), atherosclerotic cardiovascular disease (MESH:D050197), cardiovascular disease (MESH:D002318), endothelial dysfunction (MESH:D014652), cancer (MESH:D009369), MR (MESH:C562757), pancreatitis (MESH:D010195), IR (MESH:D007333)
- **Chemicals:** free fatty acid (MESH:D005230), lipid (MESH:D008055), Isoprostane (MESH:D028421), glucose (MESH:D005947), creatinine (MESH:D003404), cholesterol (MESH:D002784), calcium (MESH:D002118), TGs (MESH:C026285), sodium (MESH:D012964), 8-epi-PGF2alpha (MESH:C075750), TG (MESH:D014280), MDA (MESH:D008315)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** rs662799, rs80339785, rs78115082, rs143222728, rs117867615, rs34463296

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12942852/full.md

## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC12942852/full.md

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Source: https://tomesphere.com/paper/PMC12942852