Evidence map›Paper›PMID 34151951›Full record

ArticleInternational journal of epidemiology2021

The causal effects of serum lipids and apolipoproteins on kidney function: multivariable and bidirectional Mendelian-randomization analyses.

Humaira Rasheed, Jie Zheng, Jessica Rees, Eleanor Sanderson, Laurent Thomas, Tom G Richardson, Si Fang, Ole-Jørgen Bekkevold, Endre Bakken Stovner, Maiken Elvestad Gabrielsen and 10 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Kidney Function Measures and Mortality: A Mendelian Randomization Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Cohort Profile Update: The HUNT Study, Norway.International journal of epidemiology · 2023
    Article
  15. Article
  16. Article
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

20 authors at 5 institutions in 4 countries.

Humaira RasheedK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Jie ZhengMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Jessica ReesCardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK.ORCID 0000-0002-1495-2470
Eleanor SandersonMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0001-5188-5775
Laurent ThomasK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Tom G RichardsonMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-7918-2040
Si FangMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Ole-Jørgen BekkevoldK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Endre Bakken StovnerK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Maiken Elvestad GabrielsenK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Anne Heidi SkogholtK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Solfrid RomundstadDepartment of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Ben BrumptonK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-3058-1059
Stein HallanDepartment of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Cristen WillerDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Stephen BurgessCardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK.ORCID 0000-0001-5365-8760
Kristian HveemK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
George Davey SmithMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Tom R GauntMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Bjørn Olav ÅsvoldK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Norwegian University of Science and Technology · NOUniversity of Bristol · GBUniversity of Cambridge · GBUniversity of Engineering and Technology Lahore · PKUniversity of Michigan · US

Funding

British Heart Foundation CH/12/2/29428British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00002/7Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/1&4Medical Research Council MC_UU_00011/4Wellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

backgroundThe causal nature of the observed associations between serum lipids and apolipoproteins and kidney function are unclear.

methodsUsing two-sample and multivariable Mendelian randomization (MR), we examined the causal effects of serum lipids and apolipoproteins on kidney function, indicated by the glomerular-filtration rate estimated using creatinine (eGFRcrea) or cystatin C (eGFRcys) and the urinary albumin-to-creatinine ratio (UACR). We obtained lipid- and apolipoprotein-associated genetic variants from the Global Lipids Genetics Consortium (n = 331 368) and UK Biobank (n = 441 016), respectively, and kidney-function markers from the Trøndelag Health Study (HUNT; n = 69 736) and UK Biobank (n = 464 207). The reverse causal direction was examined using variants associated with kidney-function markers selected from recent genome-wide association studies.

resultsThere were no strong associations between genetically predicted lipid and apolipoprotein levels with kidney-function markers. Some, but inconsistent, evidence suggested a weak association of higher genetically predicted atherogenic lipid levels [indicated by low-density lipoprotein cholesterol (LDL-C), triglycerides and apolipoprotein B] with increased eGFR and UACR. For high-density lipoprotein cholesterol (HDL-C), results differed between eGFRcrea and eGFRcys, but neither analysis suggested substantial effects. We found no clear evidence of a reverse causal effect of eGFR on lipid or apolipoprotein traits, but higher UACR was associated with higher LDL-C, triglyceride and apolipoprotein B levels.

conclusionOur MR estimates suggest that serum lipid and apolipoprotein levels do not cause substantial changes in kidney function. A possible weak effect of higher atherogenic lipids on increased eGFR and UACR warrants further investigation. Processes leading to higher UACR may lead to more atherogenic lipid levels.

Indexed as

Genome-Wide Association StudyMendelian Randomization AnalysisApolipoproteinsHumansKidneyLipidsRandom AllocationTriglyceridesApolipoproteinsLipidsTriglyceridesapolipoproteinseGFRkidneyLipidsMendelian randomizationurinary albumin-to-creatinine ratio

Identifiers

PMID34151951
PMCPMC8580277
OpenAlexW3133712002

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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.