Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.02.04.703692

Gene-drug interactions identify genomic loci that enhance statin effectiveness in lowering LDL cholesterol.

Abstract

Hyperlipidemia, and high low-density lipoprotein cholesterol (LDL-c) in particular, is a risk factor for cardiovascular disease, including atherosclerosis, myocardial infarction, and stroke. Nearly 200 million people worldwide take HMG-CoA reductase inhibitors, commonly known as statins, to lower their LDL-c. If statins interfere with the genetic pathways that endogenously increase the risk for hyperlipidemia, gene-statin interactions may identify genomic variants, and thereby individuals with those genotypes, that are particularly sensitive to these medications. We performed a series of genome-wide gene-statin interaction analyses in the UK Biobank for LDL-c and two related lipids: high-density lipoprotein cholesterol (HDL-c) and triglycerides (TG). We identified five genome-wide significant gene-statin interactions for LDL-c, two interactions for HDL-c, and four interactions for TG. Importantly, only the SNP-based heritability of LDL-c was reduced by statin use. Using data from All of Us, we replicated all five significant gene-statin interaction loci for LDL-c in the European-like ancestry sample, two loci in the Americas-like ancestry sample, and one locus in the African-like ancestry sample. We also identified fifteen loci that remained associated with LDL-c despite statin treatment, highlighting potential additional genetic targets for drug development, enhancement, and repurposing. These loci include gene-targets for the recently developed hyperlipidemia drug class (PCSK9 inhibitors) validating our approach to finding new treatments. These results are an important step towards personalized medicine for patients with hyperlipidemia. Author SummaryHigh cholesterol raises the risk of heart attacks and strokes and nearly 200 million people worldwide take statins to lower it. While statins work for nearly everyone, they work better for some people than others. We examined how genetic differences enhance the effectiveness of statin medication as a step toward enhancing personalized medicine for those with high cholesterol. By analyzing genetic and health data from about 390,000 people, we found that statins primarily disrupt the link between genes and LDL or "bad" cholesterol levels. Across the genome, statins reduce the impact of genes on LDL-c levels, but not other blood lipids like HDL-c or triglycerides. For LDL-c specifically, we found five regions where genetic differences increase the effectiveness of statins. People with the protective genetic variants are expected to see greater cholesterol reduction with statin use. We confirmed four of the five findings in European-like ancestry samples, with partial replication in Americas-like and African-like ancestry samples (two variants and one variant, respectively). We also found 15 genomic regions where cholesterol stays high despite statin treatment. These genomic regions could be targets for new or enhanced cholesterol medications. In fact, a newer drug class targets one of these regions supporting our approach to finding new treatments.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Verhulst, B., Harris, J., Adams, A. M., Benstock, S. E., Tong, C. W., Case, A. J., Hettema, J. M.. 2026-02-06. Gene-drug interactions identify genomic loci that enhance statin effectiveness in lowering LDL cholesterol.. https://doi.org/10.64898/2026.02.04.703692

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

OPA1 controls mitochondrial dysfunction-driven liver fibrosis in MASLD

Progressive hepatic fibrosis is the principal determinant of morbidity and mortality in metabolic dysfunction-associated steatotic liver disease and steatohepatitis (MASLD/MASH). Mitochondrial dysfunction is a hallmark of MASH, and the release of mitochondrial damage-associated molecular patterns (mito-DAMPs) from injured hepatocytes can promote fibrosis. However, how mitochondrial dynamics and quality control shape the fibrotic response in MASLD/MASH remains unclear. Here, through large-scale genomic analyses of mitochondrial genes governing mitophagy, fusion and fission in human MASLD, with a power-equivalent sample size of approximately 700,000 individuals, we identify a strong association between hepatic fibrosis and the mitochondrial fusion factor dynamin-like GTPase optic atrophy 1 (OPA1). OPA1 transcripts and protein abundance in the liver epithelium were progressively dysregulated with advancing fibrosis. In mice, hepatocyte-specific OPA1 loss alone was sufficient to induce hepatic stellate cell activation and fibrosis in zone 3, promoted the release of mito-DAMPs into the circulation and exacerbated fibrosis in experimental MASH. These findings identify OPA1 as a central regulator of the hepatic fibrotic response and connect defective mitochondrial homeostasis to mito-DAMP release, hepatic stellate cell activation and fibrosis in MASLD.

genetics↗

Mechanism-selective deep mutational scanning distinguishes ERCC2 disease phenotypes

Pathogenic ERCC2 variants cause xeroderma pigmentosum (XP), trichothiodystrophy (TTD) or both, yet variant effect scores are usually interpreted only as measures of pathogenicity rather than of which disease mechanism is disrupted. XPD, the ERCC2-encoded TFIIH subunit, functions in both nucleotide excision repair and transcription. Using yeast complementation deep mutational scanning, we measured the effects of nearly all XPD amino acid substitutions. The assay was mechanism-selective: it preferentially reported transcription-associated function, with pronounced intolerance at the p44 interface, whereas many substitutions affecting DNA binding and helicase activity retained near-wild-type fitness. Accordingly, TTD variants had much lower fitness than XP variants. Computational predictors discriminated pathogenic from benign variants similarly across phenotypes, but the DMS distinguished XP from TTD variants better than all 73 predictors tested. Phenotype-specific ACMG/AMP calibration provided evidence in both directions for TTD but mainly pathogenic evidence for XP. Thus, the selectivity of functional assays, often viewed as a limitation, can reveal disease mechanisms and support phenotype-aware variant interpretation.

genetics↗

Temporal control of mitochondrial mutagenesis reveals the fate of mtDNA mutations with age

Mutations in the mitochondrial genome (mtDNA) play a critical role in the aging process and a wide variety of age-related diseases. However, it remains unclear when the mutations that drive physiological decline arise. To answer this question, we generated a new mouse model in which mitochondrial mutagenesis can be confined to a defined window of time. Surprisingly, we found that mutations that arise during the first two months of life are sufficient to drive a wide variety of age-related pathologies, and that the severity of this pathology is broadly regulated by distinct, tissue-specific selective pressures that control the fate of mtDNA mutations with age. Further, we found that selection against deleterious variants can be modulated by manipulation of mitochondrial fusion in vitro and in vivo. These observations raise the possibility that in some tissues, the pace of aging is pre-determined by events that occur early in life and that interventions targeting mitochondrial fusion may be able to slow down or reverse the expansion of these pathogenic variants. These results carry far-reaching implications for strategies aimed at preventing or delaying age-related decline.

genetics↗