Evidence map›Paper›PMID 33977795›Full record

SynthesisLupus2021

Pleiotropy of systemic lupus erythematosus risk alleles and cardiometabolic disorders: A phenome-wide association study and inverse-variance weighted meta-analysis.

Vivian K Kawai, Mingjian Shi, Ge Liu, QiPing Feng, WeiQi Wei, Cecilia P Chung, Theresa L Walunas, Adam S Gordon, James G Linneman, Scott J Hebbring and 5 more

Open access · greenAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Lupus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

15 authors at 7 institutions in 1 country.

Vivian K KawaiDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, USA.ORCID https://orcid.org/0000-0001-5841-2575
Mingjian ShiDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, USA.
Ge LiuDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, USA.
QiPing FengDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, USA.
WeiQi WeiDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, USA.
Cecilia P ChungDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, USA.
Theresa L WalunasCenter for Health Information Partnerships, Northwestern University Feinberg School of Medicine, Chicago, USA.
Adam S GordonCenter for Genetic Medicine, Northwestern University, Chicago, USA.
James G LinnemanOffice of Research, Computing, and Analytics, Marshfield Clinic Research Institute, Marshfield, USA.
Scott J HebbringCenter for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, USA.
John B HarleyCenter for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children's Hospital Medical Center, Cincinnati, USA.
Nancy J CoxVanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, USA.
Dan M RodenDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, USA.
C Michael SteinDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, USA.
Jonathan D MosleyDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, USA.
Vanderbilt University · USVanderbilt University Medical Center · USNorthwestern University · USCincinnati Children's Hospital Medical Center · USMarshfield Clinic · USMarshfield Clinic · USVA Tennessee Valley Healthcare System · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
A Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4M
Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PHILLIPS, ELIZABETH, RODEN, DAN M · 2015 to 2019
$13.0M
The Genetic Epemiology of Multiple SclerosisR01NS032830 · NINDS · VANDERBILT UNIVERSITY · PI HAINES, JONATHAN L · 1995 to 2010
$8.9M
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)U01HG004798 · NHGRI · VANDERBILT UNIVERSITY · PI CRAWFORD, DANA C · 2008 to 2013
$8.8M
HLA GENE COMPLEMENTATION IN PRIMARY SJOGREN'S AND LUPUSR01AI024717 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI KOTTYAN, LEAH CLAIRE, WEIRAUCH, MATTHEW TYSON · 1987 to 2025
$7.8M
American Heart Association-American Stroke Association 16FTF30130005NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR001422NCATS NIH HHS UL1 TR002243NCRR NIH HHS S10 RR025141NCRR NIH HHS UL1 RR024975NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004599NHGRI NIH HHS U01 HG004603NHGRI NIH HHS U01 HG004608NHGRI NIH HHS U01 HG004609NHGRI NIH HHS U01 HG004610NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01 HG006375NHGRI NIH HHS U01 HG006378NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG006380NHGRI NIH HHS U01 HG006382NHGRI NIH HHS U01 HG006385NHGRI NIH HHS U01 HG006388NHGRI NIH HHS U01 HG006389NHGRI NIH HHS U01 HG006828NHGRI NIH HHS U01 HG006830NHLBI NIH HHS U19 HL065962NIAID NIH HHS R01 AI024717NIAMS NIH HHS R01 AR073764NIAMS NIH HHS R01 AR076516NICHD NIH HHS R01 HD074711NIGMS NIH HHS K23 GM117395NIGMS NIH HHS P50 GM115305NIGMS NIH HHS R01 GM120523NIGMS NIH HHS R01 GM130791NIGMS NIH HHS RC2 GM092618NINDS NIH HHS R01 NS032830
6 · The paper itself

Abstract

objectivesTo test the hypothesis that genetic predisposition to systemic lupus erythematosus (SLE) increases the risk of cardiometabolic disorders.

methodsUsing 41 single nucleotide polymorphisms (SNPs) associated with SLE, we calculated a weighted genetic risk score (wGRS) for SLE. In a large biobank we tested the association between this wGRS and 9 cardiometabolic phenotypes previously associated with SLE: atrial fibrillation, ischemic stroke, coronary artery disease, type 1 and type 2 diabetes, obesity, chronic kidney disease, hypertension, and hypercholesterolemia. Additionally, we performed a phenome-wide association analysis (pheWAS) to discover novel clinical associations with a genetic predisposition to SLE. Findings were replicated in the Electronic Medical Records and Genomics (eMERGE) Network. To further define the association between SLE-related risk alleles and the selected cardiometabolic phenotypes, we performed an inverse variance weighted regression (IVWR) meta-analysis.

resultsThe wGRS for SLE was calculated in 74,759 individuals of European ancestry. Among the pre-selected phenotypes, the wGRS was significantly associated with type 1 diabetes (OR [95%CI] =1.11 [1.06, 1.17], P-value = 1.05x10

conclusionA weighted GRS for SLE was associated with an increased risk of several autoimmune-related phenotypes including type I diabetes but not with cardiometabolic disorders.

Indexed as

Cardiovascular DiseasesLupus Erythematosus, SystemicMetabolic DiseasesAllelesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseHumansPolymorphism, Single Nucleotidegenetic risk scorepleiotropySystemic lupus erythematosus

Identifiers

PMID33977795
PMCPMC8205989
OpenAlexW3162877729

What Socratic holds

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Read underepoch 390

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 Socratic graph.