Evidence map›Paper›PMID 31300347›Full record

ArticleEBioMedicine2019

Genetically-predicted life-long lowering of low-density lipoprotein cholesterol is associated with decreased frailty: A Mendelian randomization study in UK biobank.

Qi Wang, Yunzhang Wang, Kelli Lehto, Nancy L Pedersen, Dylan M Williams, Sara Hägg

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

29 citing papers in PubMed, 44 citations in OpenAlex.

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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

6 authors at 3 institutions in 5 countries.

Qi WangDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China; Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet (KI), Sweden. Electronic address: qi.wang@ki.se.
Yunzhang WangDepartment of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet (KI), Sweden.
Kelli LehtoDepartment of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet (KI), Sweden; Department of Chronic Diseases, National Institute for Health Development, Estonia.
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet (KI), Sweden; Department of Psychology, University of Southern California, Los Angeles, CA, USA.
Dylan M WilliamsDepartment of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet (KI), Sweden; MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK.
Sara HäggDepartment of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet (KI), Sweden.
Karolinska Institutet · SEHuazhong University of Science and Technology · CNUniversity College London · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundHigh circulating low-density lipoprotein cholesterol (LDL-C) is a major risk factor for atherosclerosis and age-associated cardiovascular events. Long-term dyslipidaemia could contribute to the development of frailty in older individuals through its role in determining cardiovascular health and potentially other physiological pathways.

methodsWe conducted Mendelian randomization (MR) analyses using genetic variants to estimate the effects of long-term LDL-C modification on frailty in UK Biobank (n = 378,161). Frailty was derived from health questionnaire and interview responses at baseline when participants were aged 40 to 69 years, and calculated using an accumulation-of-deficits approach, i.e. the frailty index (FI). Several aggregated instrumental variables (IVs) using 50 and 274 genetic variants were constructed from independent single-nucleotide polymorphisms (SNPs) to instrument circulating LDL-C concentrations. Specific sets of variants in or near genes that encode six lipid-lowering drug targets (HMGCR, PCSK9, NPC1L1, APOB, APOC3, and LDLR) were used to index effects of exposure to related drug classes on frailty. SNP-LDL-C effects were available from previously published studies. SNP-FI effects were obtained using adjusted linear regression models. Two-sample MR analyses were performed with the IVs as instruments using inverse-variance weighted, MR-Egger, weighted median, and weighted mode methods. To address the stability of the findings, MR analyses were also performed using i) a modified FI excluding the cardiometabolic deficit items and ii) data from comparatively older individuals (aged ≥60 years) only. Several sensitivity analyses were also conducted.

findingsOn average 0.14% to 0.23% and 0.16% to 0.31% decrements in frailty were observed per standard deviation reduction in LDL-C exposure, instrumented by the general IVs consisting of 50 and 274 variants, respectively. Consistent, though less precise, associations were observed in the HMGCR-, APOC3-, NPC1L1-, and LDLR-specific IV analyses. In contrast, results for PCSK9 were in the same direction but more modest, and null for APOB. All sensitivity analyses produced similar findings.

interpretationA genetically-predicted life-long lowering of LDL-C is associated with decreased frailty in midlife and older age, representing supportive evidence for LDL-C's role in multiple health- and age-related pathways. The use of lipid-lowering therapeutics with varying mechanisms of action may differ by the extent to which they provide overall health benefits.

Indexed as

Genetic Predisposition to DiseaseAdultAgedBiological Specimen BanksCholesterol, HDLCholesterol, LDLFemaleFrailtyHumansLipid MetabolismMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideRisk FactorsUnited KingdomCholesterol, HDLCholesterol, LDLFrailtyLow-density lipoprotein cholesterolMendelian randomizationUK biobank

Identifiers

PMID31300347
PMCPMC6642403
OpenAlexW2962413697

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.