Circulating lipoprotein(a) levels and health outcomes: Phenome-wide Mendelian randomization and disease-trajectory

Susanna C Larsson1, Lijuan Wang2, Xue Li2

  • 1Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

Insights

High Lipoprotein(a) [Lp(a)] levels are linked to increased risks of circulatory diseases and anemia. This study also identified three main patterns of multiple health conditions associated with elevated Lp(a).

Area of Science:

  • Genetics and Cardiovascular Epidemiology
  • Metabolomics and Disease Risk
  • Biomarkers and Atherosclerosis

Background:

  • Lipoprotein(a) [Lp(a)] is a known risk factor for atherosclerotic and valvular diseases.
  • The association of Lp(a) with a wider spectrum of diseases remains to be fully established.
  • This research investigates the broader phenomic impact of circulating Lp(a) levels.

Purpose of the Study:

  • To assess the association of circulating Lp(a) levels with a broad range of diseases using phenome-wide Mendelian randomization.
  • To explore disease trajectories and comorbidity patterns linked to high Lp(a) levels.
  • To investigate novel associations beyond established cardiovascular risks.

Main Methods:

  • Constructed a weighted polygenic risk score using LPA gene variants affecting Lp(a) levels.
  • Conducted Phenome-Wide Association Studies (PheWAS) in 385,917 White UK Biobank participants across 1081 phenotypes.
  • Performed two-sample Mendelian randomization (MR) using FinnGen consortium data and disease-trajectory analyses.

Main Results:

  • PheWAS revealed associations of higher Lp(a) with circulatory diseases (cardiac, peripheral, hypertension, valvular, cerebrovascular), endocrine/metabolic diseases (hyperlipidemia, type 2 diabetes), genitourinary diseases (renal failure), and hematologic diseases (anemia).
  • MR analysis supported Lp(a) association with anemia risk and suggested a link with type 2 diabetes, but not renal failure.
  • Disease-trajectory analyses identified three major morbidity patterns (cardiovascular, metabolic, mental disorders) related to high Lp(a).

Conclusions:

  • Genetically predicted higher Lp(a) levels are associated with increased risk for numerous circulatory diseases and anemia.
  • The study identified significant sequential patterns of multiple morbidities linked to elevated Lp(a) levels.
  • These findings expand the known disease associations of Lp(a) and highlight its systemic impact.
Abstract

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