Evidence map›Paper›PMID 39418486›Full record

ArticleDiabetes2025

Multiomic Mendelian Randomization Study Investigating the Impact of PCSK9 and HMGCR Inhibition on Type 2 Diabetes Across Five Populations.

Daniel B Rosoff, Josephin Wagner, Jeesun Jung, Pal Pacher, Constantinos Christodoulides, George Davey Smith, David Ray, Falk W Lohoff

Abstract read
In one paragraph

Article in Diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Daniel B RosoffSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD.
Josephin WagnerSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD.
Jeesun JungSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD.
Pal PacherLaboratory of Cardiovascular Physiology and Tissue Injury, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD.
Constantinos ChristodoulidesOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K.ORCID 0000-0001-5154-0785
George Davey SmithMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K.
David RayOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K.
Falk W LohoffSection on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD.ORCID 0000-0002-0480-7755

Funding

Clinical Genomics and Experimental TherapeuticsZIAAA000242 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI LOHOFF, FALK · 2015 to 2025
$26.7M
CLC NIH HHS ZIA-AA000242Intramural NIH HHS ZIA AA000242
6 · The paper itself

Abstract

The prevalence of type 2 diabetes (T2D) varies among populations of different races/ethnicities. The influence of genetically proxied LDL cholesterol lowering through proprotein convertase subtilisin/kexin 9 (PCSK9) and HMG-CoA reductase (HMGCR) on T2D in non-European populations is not well established. A drug target Mendelian randomization approach was used to assess the effects of PCSK9 and HMGCR inhibition on T2D risk and glycemic traits in five populations: East Asian (EAS), South Asian (SAS), Hispanic (HISP), African (AFR), and Europe (EUR). Our study did not find relationships between genetically proxied PCSK9 inhibition and T2D risk in the EAS (odds ratio [OR] 1.02; 95% CI 0.95-1.10), SAS (1.05; 0.97-1.14), HISP (1.03; 0.94-1.12), or EUR population (1.04; 0.98-1.11). However, in the AFR population, primary analyses suggested an increased risk of T2D resulting from PCSK9 inhibition (OR 1.53; 95% CI 1.058-2.22; P = 0.024), although this was not supported in sensitivity analyses. Genetically proxied HMGCR inhibition was associated with an increased risk of T2D in SAS (OR 1.44; 95% CI 1.30-1.61; P = 9.8 × 10-12), EAS (1.36; 1.22-1.51; P = 4.2 × 10-10), and EUR populations (1.52; 1.21-1.90; P = 3.3 × 10-4). These results were consistent across various sensitivity analyses, including colocalization, indicating a robust finding. The findings indicate a neutral impact of long-term PCSK9 inhibition on T2D and glycemic markers in most non-EUR populations, with a potential increased risk in AFR cohorts. By contrast, HMGCR inhibition increased the risk of T2D in SAS, EAS, and EUR cohorts, underscoring the need to consider diversity in genetic research on metabolic diseases. ARTICLE HIGHLIGHTS:

Indexed as

Diabetes Mellitus, Type 2Hydroxymethylglutaryl CoA ReductasesMendelian Randomization AnalysisProprotein Convertase 9Cholesterol, LDLEuropeFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMalePolymorphism, Single NucleotideCholesterol, LDLHMGCR protein, humanHydroxymethylglutaryl-CoA Reductase InhibitorsHydroxymethylglutaryl CoA ReductasesPCSK9 protein, humanProprotein Convertase 9

Identifiers

PMID39418486
PMCPMC11664021

What OpenQuestion holds

Texttitle and abstract
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.