Evidence map›Paper›PMID 36890159›Full record

ArticleNature communications2023

Imputation-powered whole-exome analysis identifies genes associated with kidney function and disease in the UK Biobank.

Matthias Wuttke, Eva König, Maria-Alexandra Katsara, Holger Kirsten, Saeed Khomeijani Farahani, Alexander Teumer, Yong Li, Martin Lang, Burulca Göcmen, Cristian Pattaro and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Tight junction structure, assembly and (dys)function.Nature reviews. Molecular cell biology · 2026
    Review
  3. Article
  4. Fifty Shades of Risk: Population Studies and the Genetic Architecture of Kidney Diseases.Journal of the American Society of Nephrology : JASN · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Clinical and Metabolic Signatures ofKidney international reports · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
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

13 authors at 6 institutions in 3 countries.

Matthias Wuttke *Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany. matthias.wuttke@uniklinik-freiburg.de.ORCID 0000-0003-3420-5082
Eva König *Eurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-2079-3525
Maria-Alexandra KatsaraInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Holger KirstenInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Saeed Khomeijani FarahaniClinical Physiology/Nutritional Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Alexander TeumerInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0002-8309-094X
Yong LiInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0003-2651-8791
Martin LangEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.
Burulca GöcmenInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Cristian PattaroEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-4119-0109
Dorothee GünzelClinical Physiology/Nutritional Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-7998-7164
Anna KöttgenInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-4671-3714
Christian FuchsbergerEurac Research, Institute for Biomedicine (affiliated to the University of Lübeck), Bolzano, Italy. Christian.Fuchsberger@eurac.edu.ORCID 0000-0002-5918-8947
Eurac Research · ITUniversity of Freiburg · DECharité - Universitätsmedizin Berlin · DEJohns Hopkins University · USLeipzig University · DEUniversitätsmedizin Greifswald · DE

Funding

Design and Analysis of Human Gene Mapping StudiesR01HG009976 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2018 to 2022
$2.5M
NHGRI NIH HHS R01 HG009976
6 · The paper itself

Abstract

Genome-wide association studies have discovered hundreds of associations between common genotypes and kidney function but cannot comprehensively investigate rare coding variants. Here, we apply a genotype imputation approach to whole exome sequencing data from the UK Biobank to increase sample size from 166,891 to 408,511. We detect 158 rare variants and 105 genes significantly associated with one or more of five kidney function traits, including genes not previously linked to kidney disease in humans. The imputation-powered findings derive support from clinical record-based kidney disease information, such as for a previously unreported splice allele in PKD2, and from functional studies of a previously unreported frameshift allele in CLDN10. This cost-efficient approach boosts statistical power to detect and characterize both known and novel disease susceptibility variants and genes, can be generalized to larger future studies, and generates a comprehensive resource ( https://ckdgen-ukbb.gm.eurac.edu/ ) to direct experimental and clinical studies of kidney disease.

Indexed as

ExomeGenome-Wide Association StudyBiological Specimen BanksHumansKidneyPolymorphism, Single NucleotideUnited Kingdom

Identifiers

PMID36890159
PMCPMC9995463
OpenAlexW4323652257

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.