Partitioned polygenic risk scores identify distinct types of metabolic dysfunction-associated steatotic liver disease

Author:

Romeo Stefano1ORCID,Jamialahmadi Oveis2,De Vincentis Antonio3,Tavaglione Federica2,Malvestiti Francesco4ORCID,Li-Gao Ruifang5,Mancina Rosellina1ORCID,Alvarez Marcus6ORCID,Gelev Kyla7,Maurotti Samantha8,Vespasiani-Gentilucci Umberto9,Rosendaal Frits5ORCID,Kozlitina Julia10ORCID,Pajukanta Päivi6ORCID,Pattou François11,Valenti Luca4ORCID

Affiliation:

1. Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg

2. University of Gothenburg

3. Operative Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy

4. University of Milan

5. Leiden University Medical Center

6. University of California, Los Angeles

7. David Geffen School of Medicine at UCLA

8. Magna Graecia University

9. Fondazione Policlinico Universitario Campus Bio-Medico

10. UT Southwestern

11. Centre Hospitalier Universitaire de Lille

Abstract

Abstract Metabolic dysfunction-associated steatotic liver disease (MASLD) encompasses an excess of triglycerides in the liver, which can lead to cirrhosis and liver cancer. While there is solid epidemiological evidence of MASLD coexisting with cardiometabolic disease, several leading genetic risk factors for MASLD do not increase the risk of cardiovascular disease, suggesting no causal relationship between MASLD and cardiometabolic derangement. In this work, we leveraged measurements of visceral adiposity and identified 27 novel genetic loci associated with MASLD. Among these loci, we replicated 6 in several independent cohorts. Next, we generated two partitioned polygenic risk scores (PRS) based on the mechanism of genetic association with MASLD encompassing intra-hepatic lipoprotein retention. The two PRS suggest the presence of at least two distinct types of MASLD, one confined to the liver resulting in a more aggressive liver disease and one that is systemic and results in a higher risk of cardiometabolic disease.

Publisher

Research Square Platform LLC

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