Evidence map›Paper›PMID 31015462›Full record

SynthesisNature communications2019

Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis.

Sarah E Graham, Jonas B Nielsen, Matthew Zawistowski, Wei Zhou, Lars G Fritsche, Maiken E Gabrielsen, Anne Heidi Skogholt, Ida Surakka, Whitney E Hornsby, Damian Fermin and 11 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. GWAS of Second-Generation Antihistamine Use: Locus Specificity and Highlighted Signalling Pathways.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. African ancestry-enriched variants in themedRxiv : the preprint server for health sciences · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Role of the CDKL1-SOX11 signaling axis in acute kidney injury.American journal of physiology. Renal physiology · 2024
    Article
  19. Article
  20. Multivariate genetic architecture reveals testosterone-driven sexual antagonism in contemporary humans.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

21 authors.

Sarah E GrahamDepartment of Internal Medicine: Cardiology, University of Michigan, Ann Arbor, 48109, MI, USA.ORCID http://orcid.org/0000-0003-1271-2489
Jonas B NielsenDepartment of Internal Medicine: Cardiology, University of Michigan, Ann Arbor, 48109, MI, USA.ORCID http://orcid.org/0000-0002-6654-2852
Matthew ZawistowskiDepartment of Biostatistics: Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA.ORCID http://orcid.org/0000-0002-3005-083X
Wei ZhouDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, 48109, MI, USA.
Lars G FritscheDepartment of Biostatistics: Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA.ORCID http://orcid.org/0000-0002-2110-1690
Maiken E GabrielsenK.G. Jebsen Center for Genetic Epidemiology, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, 7491, Norway.
Anne Heidi SkogholtK.G. Jebsen Center for Genetic Epidemiology, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, 7491, Norway.
Ida SurakkaDepartment of Internal Medicine: Cardiology, University of Michigan, Ann Arbor, 48109, MI, USA.
Whitney E HornsbyDepartment of Internal Medicine: Cardiology, University of Michigan, Ann Arbor, 48109, MI, USA.
Damian FerminDepartment of Pediatrics: Pediatric Nephrology, University of Michigan, Ann Arbor, 48109, MI, USA.
Daniel B LarachDepartment of Anesthesiology, University of Michigan, Ann Arbor, 48109, MI, USA.
Sachin KheterpalDepartment of Anesthesiology, University of Michigan, Ann Arbor, 48109, MI, USA.
Chad M BrummettDepartment of Anesthesiology, University of Michigan, Ann Arbor, 48109, MI, USA.
Seunggeun LeeDepartment of Biostatistics: Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA.ORCID http://orcid.org/0000-0002-8097-3878
Hyun Min KangDepartment of Biostatistics: Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA.
Goncalo R AbecasisDepartment of Biostatistics: Center for Statistical Genetics, University of Michigan, Ann Arbor, 48109, MI, USA.
Solfrid RomundstadDepartment of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, 7491, Norway.
Stein HallanDepartment of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, 7491, Norway.
Matthew G SampsonDepartment of Pediatrics: Pediatric Nephrology, University of Michigan, Ann Arbor, 48109, MI, USA.ORCID http://orcid.org/0000-0001-9560-076X
Kristian HveemK.G. Jebsen Center for Genetic Epidemiology, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, 7491, Norway. kristian.hveem@ntnu.no.
Cristen J WillerDepartment of Internal Medicine: Cardiology, University of Michigan, Ann Arbor, 48109, MI, USA. cristen@umich.edu.ORCID http://orcid.org/0000-0001-5645-4966

Funding

Using genetic variation to study biology of blood lipids & coronary heart diseaseR01HL127564 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Pradeep Natarajan, Gina Marie Peloso · 2015 to 2026
$7.3M
Using Genetics to Inform Mechanism of Cardiovascular DiseaseR35HL135824 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILLER, CRISTEN J · 2017 to 2022
$5.4M
APOL1 - associated nephropathy from human-derived, intrarenal perspectiveR01DK108805 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MATTHEW Gordon SAMPSON, Simone Sanna-Cherchi · 2016 to 2026
$3.4M
NHLBI NIH HHS R01 HL127564NHLBI NIH HHS R35 HL135824NIDDK NIH HHS R01 DK108805
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a growing health burden currently affecting 10-15% of adults worldwide. Estimated glomerular filtration rate (eGFR) as a marker of kidney function is commonly used to diagnose CKD. We analyze eGFR data from the Nord-Trøndelag Health Study and Michigan Genomics Initiative and perform a GWAS meta-analysis with public summary statistics, more than doubling the sample size of previous meta-analyses. We identify 147 loci (53 novel) associated with eGFR, including genes involved in transcriptional regulation, kidney development, cellular signaling, metabolism, and solute transport. Additionally, sex-stratified analysis identifies one locus with more significant effects in women than men. Using genetic risk scores constructed from these eGFR meta-analysis results, we show that associated variants are generally predictive of CKD with only modest improvements in detection compared with other known clinical risk factors. Collectively, these results yield additional insight into the genetic factors underlying kidney function and progression to CKD.

Indexed as

Genetic LociGenome-Wide Association StudyFemaleGlobal Burden of DiseaseGlomerular Filtration RateHumansKidneyMalePrognosisRenal Insufficiency, ChronicRisk AssessmentRisk FactorsSex Factors

Identifiers

PMID31015462
PMCPMC6478837

What OpenQuestion holds

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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.