Evidence map›Paper›PMID 37208559›Full record

ArticleBritish journal of clinical pharmacology2023

Genetically instrumented LDL-cholesterol lowering and multiple disease outcomes: A Mendelian randomization phenome-wide association study in the UK Biobank.

Kitty Pham, Anwar Mulugeta, Amanda Lumsden, Elina Hyppӧnen

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Article in British journal of clinical pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

4 authors.

Kitty PhamAustralian Centre for Precision Health, Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia.ORCID 0000-0002-8944-7882
Anwar MulugetaAustralian Centre for Precision Health, Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia.ORCID 0000-0002-8018-3454
Amanda LumsdenAustralian Centre for Precision Health, Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia.ORCID 0000-0002-0214-6498
Elina HyppӧnenAustralian Centre for Precision Health, Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia.ORCID 0000-0003-3670-9399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsLipid-lowering medications are widely used to control blood cholesterol levels and manage a range of cardiovascular and lipid disorders. We aimed to explore the possible associations between LDL lowering and multiple disease outcomes or biomarkers.

methodsWe performed a Mendelian randomization phenome-wide association study (MR-PheWAS) in 337 475 UK Biobank participants to test for associations between four proposed LDL-C-lowering genetic risk scores (PCSK9, HMGCR, NPC1L1 and LDLR) and 1135 disease outcomes, with follow-up MR analyses in 52 serum, urine, imaging and clinical biomarkers. We used inverse-variance weighted MR in the main analyses and complementary MR methods (weighted median, weighted mode, MR-Egger and MR-PRESSO) as sensitivity analyses. We accounted for multiple testing with false discovery rate correction (P < 2.0 × 10

resultsWe found evidence for an association between genetically instrumented LDL lowering and 10 distinct disease outcomes, suggesting potential causality. All genetic instruments were associated with hyperlipidaemias and cardiovascular diseases in the expected directions. Biomarker analyses supported an effect of LDL-C lowering through PCSK9 on lung function (FEV [beta per 1 mg/dL lower LDL-C -1.49, 95% CI -2.21, -0.78]; FVC [-1.42, 95% CI -2.29, -0.54]) and through HMGCR on hippocampal volume (beta per 1 mg/dL lower LDL-C 6.09, 95% CI 1.74, 10.44).

conclusionsWe found genetic evidence to support both positive and negative effects of LDL-C lowering through all four LDL-C-lowering pathways. Future studies should further explore the effects of LDL-C lowering on lung function and changes in brain volume.

Indexed as

Mendelian Randomization AnalysisProprotein Convertase 9Biological Specimen BanksCholesterol, LDLGenome-Wide Association StudyHumansPolymorphism, Single NucleotideUnited KingdomCholesterol, LDLPCSK9 protein, humanProprotein Convertase 9cholesterollipid loweringlow-density lipoproteinMendelian randomizationphenome-widestatinsUK Biobank

Identifiers

PMID37208559
PMCPMC10952153

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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.