Evidence map›Paper›PMID 27588450›Full record

SynthesisAmerican journal of human genetics2016

Trans-ethnic Fine Mapping Highlights Kidney-Function Genes Linked to Salt Sensitivity.

Anubha Mahajan, Aylin R Rodan, Thu H Le, Kyle J Gaulton, Jeffrey Haessler, Adrienne M Stilp, Yoichiro Kamatani, Gu Zhu, Tamar Sofer, Sanjana Puri and 30 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in American journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 9 pooled it
21.6field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 9 syntheses or guidelines pooled it, 72 citations in OpenAlex.

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  7. Genetic Variants Associated with Circulating Fibroblast Growth Factor 23.Journal of the American Society of Nephrology : JASN · 2018
    Pooled it
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  11. Salt and chronic kidney disease.Nature reviews. Nephrology · 2026
    Review
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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

40 authors at 15 institutions in 5 countries.

Anubha MahajanWellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Aylin R RodanDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75229, USA.
Thu H LeDepartment of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Kyle J GaultonDepartment of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA.
Jeffrey HaesslerDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Adrienne M StilpDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Yoichiro KamataniLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Gu ZhuGenetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia.
Tamar SoferDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Sanjana PuriDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75229, USA.
Jeffrey N SchellingerDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75229, USA.
Pei-Lun ChuDepartment of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Sylvia CechovaDepartment of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Natalie van ZuydamWellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
SUMMIT Consortium
BioBank Japan Project
Johan ArnlovDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala 751 85, Sweden; School of Health and Social Studies, Dalarna University, Falun 791 88, Sweden.
Michael F FlessnerNational Institute of Diabetes, Digestive, and Kidney Disease, NIH, Bethesda, MD 20892, USA.
Vilmantas GiedraitisDepartment of Public Health and Caring Sciences, Molecular Geriatrics, Uppsala University, Uppsala 752 37, Sweden.
Andrew C HeathDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA.
Michiaki KuboLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Anders LarssonDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala 751 85, Sweden.
Cecilia M LindgrenWellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7BN, UK.
Pamela A F MaddenDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA.
Grant W MontgomeryMolecular Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia.
George J PapanicolaouEpidemiology Branch, Division of Cardiovascular Sciences, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA.
Alex P ReinerDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Johan SundströmDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala 751 85, Sweden.
Timothy A ThorntonDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Lars LindDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala 751 85, Sweden.
Erik IngelssonDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala 752 37, Sweden; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Jianwen CaiCollaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Nicholas G MartinGenetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Koichi MatsudaLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan.
John B WhitfieldGenetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane 4006, Australia.
Yukinori OkadaLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan.
Cathy C LaurieDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
Andrew P MorrisWellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK. Electronic address: apmorris@liverpool.ac.uk.
Nora FranceschiniDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA. Electronic address: noraf@unc.edu.
Uppsala University · SEQIMR Berghofer Medical Research Institute · AUUniversity of Washington · USFred Hutch Cancer Center · USRIKEN Center for Integrative Medical Sciences · JPThe University of Texas Southwestern Medical Center · USUniversity of Oxford · GBUniversity of Virginia · USUniversity of North Carolina at Chapel Hill · USWashington University in St. Louis · USCentre for Human Genetics · GBNational Heart Lung and Blood Institute · USNational Institute of Diabetes and Digestive and Kidney Diseases · USStanford University · USUniversity of California, San Diego · US

Funding

Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI THORNTON, TIMOTHY ALVIN · 2012 to 2016
$7.3M
Leveraging ancestry to map kidney lociR01MD012765 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRANCESCHINI, NORA · 2017 to 2021
$3.6M
Genetics of kidney disease in diverse populationsR01DK117445 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRANCESCHINI, NORA · 2018 to 2022
$2.7M
Kidney Disease and InflammationT32DK072922 · NIDDK · UNIVERSITY OF VIRGINIA · PI OKUSA, MARK DOUGLAS · 2006 to 2020
$2.6M
GSTM1, APOL1, and their joint contribution to severity of hypertension and chronic kidney diseaseR01DK094907 · NIDDK · UNIVERSITY OF VIRGINIA · PI LE, THU H., MYCHALECKYJ, JOSYF · 2012 to 2021
$1.7M
UTSW Summer Undergraduate Research Institute for the Study of Kidney DiseasesR25DK101401 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Thomas Joseph Carroll, sarah huen · 2014 to 2026
$1.5M
WNK & SPAK/OSR1 regulation of SLC12 cotransporters in DrosophilaK08DK091316 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI RODAN, AYLIN RACHEL · 2011 to 2015
$727k
Trans-ethnic meta-analysis of blood pressure in African and European ancestriesR21HL123677 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRANCESCHINI, NORA · 2014 to 2015
$242k
NHLBI NIH HHS R21 HL123677NIDDK NIH HHS K08 DK091316NIDDK NIH HHS R01 DK094907NIDDK NIH HHS R01 DK117445NIDDK NIH HHS R25 DK101401NIDDK NIH HHS T32 DK072922NIGMS NIH HHS P01 GM099568NIMHD NIH HHS R01 MD012765Wellcome Trust
6 · The paper itself

Abstract

We analyzed genome-wide association studies (GWASs), including data from 71,638 individuals from four ancestries, for estimated glomerular filtration rate (eGFR), a measure of kidney function used to define chronic kidney disease (CKD). We identified 20 loci attaining genome-wide-significant evidence of association (p < 5 × 10(-8)) with kidney function and highlighted that allelic effects on eGFR at lead SNPs are homogeneous across ancestries. We leveraged differences in the pattern of linkage disequilibrium between diverse populations to fine-map the 20 loci through construction of "credible sets" of variants driving eGFR association signals. Credible variants at the 20 eGFR loci were enriched for DNase I hypersensitivity sites (DHSs) in human kidney cells. DHS credible variants were expression quantitative trait loci for NFATC1 and RGS14 (at the SLC34A1 locus) in multiple tissues. Loss-of-function mutations in ancestral orthologs of both genes in Drosophila melanogaster were associated with altered sensitivity to salt stress. Renal mRNA expression of Nfatc1 and Rgs14 in a salt-sensitive mouse model was also reduced after exposure to a high-salt diet or induced CKD. Our study (1) demonstrates the utility of trans-ethnic fine mapping through integration of GWASs involving diverse populations with genomic annotation from relevant tissues to define molecular mechanisms by which association signals exert their effect and (2) suggests that salt sensitivity might be an important marker for biological processes that affect kidney function and CKD in humans.

Indexed as

Genome-Wide Association StudyAllelesAnimalsDeoxyribonuclease IDiabetes MellitusDisease Models, AnimalDrosophila melanogasterEthnicityFemaleGlomerular Filtration RateHumansKidneyLinkage DisequilibriumMaleNFATC Transcription FactorsPolymorphism, Single NucleotideDeoxyribonuclease INFATC1 protein, humanNfatc1 protein, mouseNFATC Transcription FactorsRGS14 protein, humanRgs14 protein, mouseRGS ProteinsSLC34A1 protein, humanSodium ChlorideSodium-Phosphate Cotransporter Proteins, Type IIa

Identifiers

PMID27588450
PMCPMC5011075
OpenAlexW2514105479

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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.