Evidence map›Paper›PMID 38932496›Full record

SynthesisAging cell2024

Discovery of genomic and transcriptomic pleiotropy between kidney function and soluble receptor for advanced glycation end products using correlated meta-analyses: The Long Life Family Study.

Mary F Feitosa, Shiow J Lin, Sandeep Acharya, Bharat Thyagarajan, Mary K Wojczynski, Allison L Kuipers, Alexander Kulminski, Kaare Christensen, Joseph M Zmuda, Michael R Brent and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. RBFOX1 association with age at onset of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Mary F FeitosaDivision of Statistical Genomics, Department of Genetics, Washington University in St Louis School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-0933-2410
Shiow J LinDivision of Statistical Genomics, Department of Genetics, Washington University in St Louis School of Medicine, St. Louis, Missouri, USA.
Sandeep AcharyaDepartment of Computer Science and Engineering, Washington University, St. Louis, Missouri, USA.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Mary K WojczynskiDivision of Statistical Genomics, Department of Genetics, Washington University in St Louis School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-2420-162X
Allison L KuipersDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Alexander KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Kaare ChristensenUnit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, Southern Denmark University, Odense, Denmark.ORCID 0000-0002-5429-5292
Joseph M ZmudaDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Michael R BrentDepartment of Computer Science and Engineering, Washington University, St. Louis, Missouri, USA.
Michael A ProvinceDivision of Statistical Genomics, Department of Genetics, Washington University in St Louis School of Medicine, St. Louis, Missouri, USA.

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI PAOLA SEBASTIANI · 2019 to 2026
$125.4M
Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
Long Life Family Study: Data Management and Coordinating CenterU01AG023746 · NIA · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2004 to 2018
$29.2M
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
NIA NIH HHS U01 AG023746NIA NIH HHS U19 AG023122NIA NIH HHS U19 AG063893NIA NIH HHS U19AG063893NIA NIH HHS UH3 AG064706NIA NIH HHS UI9AG023122
6 · The paper itself

Abstract

Patients with chronic kidney disease (CKD) have increased oxidative stress and chronic inflammation, which may escalate the production of advanced glycation end-products (AGEs). High soluble receptor for AGE (sRAGE) and low estimated glomerular filtration rate (eGFR) levels are associated with CKD and aging. We evaluated whether eGFR calculated from creatinine and cystatin C share pleiotropic genetic factors with sRAGE. We employed whole-genome sequencing and correlated meta-analyses on combined genome-wide association study (GWAS) p-values in 4182 individuals (age range: 24-110) from the Long Life Family Study (LLFS). We also conducted transcriptome-wide association studies (TWAS) on whole blood in a subset of 1209 individuals. We identified 59 pleiotropic GWAS loci (p < 5 × 10

Indexed as

Genome-Wide Association StudyReceptor for Advanced Glycation End ProductsRenal Insufficiency, ChronicTranscriptomeAdultAgedAged, 80 and overFemaleGenetic PleiotropyGenomicsGlomerular Filtration RateHumansKidneyMaleMiddle AgedYoung AdultReceptor for Advanced Glycation End Productsagingchronic kidney diseaseeGFRfunctional genome annotationsgenome‐wide association studyomicssRAGEtranscriptome‐wide association study

Identifiers

PMID38932496
PMCPMC11464144

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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.