Evidence map›Paper›PMID 32540406›Full record

ArticleKidney international2020

Derivation and validation of genome-wide polygenic score for urinary tract stone diagnosis.

Ishan Paranjpe, Noah Tsao, Renae Judy, Manish Paranjpe, Kumardeep Chaudhary, Derek Klarin, Iain Forrest, Ross O'Hagan, Arjun Kapoor, John Pfail and 13 more

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 6 institutions in 1 country.

Ishan ParanjpeThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The BioMe Phenomics Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Noah TsaoDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Renae JudyDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Manish ParanjpeDivision of Health Sciences and Technology, Harvard Medical School, Boston, Massachusetts, USA.
Kumardeep ChaudharyThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The BioMe Phenomics Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Derek KlarinMalcolm Randall Veterans Affairs Medical Center, Gainesville, Florida, USA; Division of Vascular Surgery and Endovascular Therapy, University of Florida College of Medicine, Gainesville, Florida, USA; Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Iain ForrestThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ross O'HaganThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The BioMe Phenomics Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Arjun KapoorDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
John PfailDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Suraj JaladankiThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The BioMe Phenomics Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Fayzan ChaudhryThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Akhil VaidThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Phan Q DuyMedical Scientist Training Program, Yale University School of Medicine, New Haven, Connecticut, USA.
Charles Bronfman Institute of Personalized Medicine Genomics TeamThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Regeneron Genomics TeamRegeneron Genetics Center, Tarrytown, New York, USA.
John Cijiang HeDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Renal Program, James J Peters Veterans Affairs Medical Center at Bronx, New York, New York, USA.
Benjamin S GlicksbergThe Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Steven G CocaDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Mantu GuptaDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ron DoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The BioMe Phenomics Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Scott M DamrauerDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Girish N NadkarniThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The BioMe Phenomics Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Renal Program, James J Peters Veterans Affairs Medical Center at Bronx, New York, New York, USA. Electronic address: girish.nadkarni@mountsinai.org.
Icahn School of Medicine at Mount Sinai · USUniversity of Pennsylvania · USJames J. Peters VA Medical Center · USBroad Institute · USHarvard University · USYale University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Incorporating genomics into the clinical care of diverse NYC childrenU01HG009610 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GELB, BRUCE D, HOROWITZ, CAROL R · 2017 to 2021
$17.0M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Multi-Omics and Chronic Kidney Disease: Correlation with HistologyR01DK108803 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams, EUGENE P. RHEE · 2016 to 2026
$6.4M
Genomic Medicine Pilot For Hypertension And Kidney Disease In Primary CareU01HG007278 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOROWITZ, CAROL R · 2013 to 2018
$5.7M
Towards an integrated map of causal connections for common, complex diseasesR35GM124836 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ron Do · 2017 to 2026
$3.9M
North East Consortium for Transplant outcomes in APOL1 kidney Recipients (NECTAR) Clinical CenterU01DK116100 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI Darshana Dadhania, Samira Farouk · 2017 to 2026
$2.5M
Impact of early antiretroviral therapy on kidney disease outcomesR01DK112258 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WYATT, CHRISTINA M · 2017 to 2021
$2.1M
Resolving Causal Influences Among Correlated Risk Biomarkers for Coronary Artery DiseaseR01HL139865 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON · 2018 to 2021
$1.7M
Linking the Effects of 9/11 to Kidney DiseaseU01OH011326 · OH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MCLAUGHLIN, MARY A · 2017 to 2019
$1.5M
Risk Clustering and Stratification in Genetically High-Risk Individuals Using Electronic Medical Records and BiomarkersK23DK107908 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NADKARNI, GIRISH NITIN · 2016 to 2020
$930k
Precision Cardio-Metabolic Phenotyping for Genetic Discovery and Risk PredictionIK2CX001780 · VA · PHILADELPHIA VA MEDICAL CENTER · PI DAMRAUER, SCOTT MICHAEL · 2018 to 2023
–
ACL HHS U01OH011326CSRD VA IK2 CX001780NHGRI NIH HHS U01 HG007278NHGRI NIH HHS U01 HG009610NHLBI NIH HHS R01 HL085757NHLBI NIH HHS R01 HL139865NIDDK NIH HHS K23 DK107908NIDDK NIH HHS R01 DK108803NIDDK NIH HHS R01 DK112258NIDDK NIH HHS U01 DK116100NIGMS NIH HHS R35 GM124836NIGMS NIH HHS T32 GM007205
6 · The paper itself

Abstract

Urinary tract stones have high heritability indicating a strong genetic component. However, genome-wide association studies (GWAS) have uncovered only a few genome wide significant single nucleotide polymorphisms (SNPs). Polygenic risk scores (PRS) sum cumulative effect of many SNPs and shed light on underlying genetic architecture. Using GWAS summary statistics from 361,141 participants in the United Kingdom Biobank, we generated a PRS and determined association with stone diagnosis in 28,877 participants in the Mount Sinai BioMe Biobank. In BioMe (1,071 cases and 27,806 controls), for every standard deviation increase, we observed a significant increment in adjusted odds ratio of a factor of 1.2 (95% confidence interval 1.13-1.26). In comparison, a risk score comprised of GWAS significant SNPs was not significantly associated with diagnosis. After stratifying individuals into low and high-risk categories on clinical risk factors, there was a significant increment in adjusted odds ratio of 1.3 (1.12-1.6) in the low- and 1.2 (1.1-1.2) in the high-risk group for every standard deviation increment in PRS. In a 14,348-participant validation cohort (Penn Medicine Biobank), every standard deviation increment was associated with a significant adjusted odds ratio of 1.1 (1.03 - 1.2). Thus, a genome-wide PRS is associated with urinary tract stones overall and in the absence of known clinical risk factors and illustrates their complex polygenic architecture.

Indexed as

Genome-Wide Association StudyUrinary CalculiGenetic Predisposition to DiseaseHumansMultifactorial InheritancePolymorphism, Single NucleotideUnited Kingdomgenomicsnephrolithiasispersonalized medicinepolygenic risk scoreurinary tract stone

Identifiers

PMID32540406
PMCPMC7606592
OpenAlexW3035710287

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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.