Evidence map›Paper›PMID 37041293›Full record

ArticleScientific reports2023

Genetic susceptibility for autoimmune diseases and white blood cell count.

Nataraja Sarma Vaitinadin, C Michael Stein, Jonathan D Mosley, Vivian K Kawai

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Role of Systemic Inflammatory Markers in the Differential Diagnosis of Organizing Pneumonia and Lung Cancer.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2025
    Article
  2. Article
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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

4 authors at 1 institution in 1 country.

Nataraja Sarma VaitinadinDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
C Michael SteinDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Jonathan D Mosley *Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Vivian K Kawai *Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. vivian.k.kawai@vumc.org.
Vanderbilt University Medical Center · 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
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
Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PHILLIPS, ELIZABETH · 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
VESPA: Vanderbilt Electronic Systems for Pharmacogenomic AssessmentRC2GM092618 · NIGMS · VANDERBILT UNIVERSITY · PI DENNY, JOSHUA C., RODEN, DAN M · 2009 to 2010
$6.4M
Vanderbilt Genome Electronic Records ProjectU01HG006378 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2011 to 2014
$4.0M
Understanding the genetic risk underlying racial disparities in uterine fibroids - Diversity SupplementR01HD074711 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VELEZ EDWARDS, DIGNA R · 2013 to 2017
$2.9M
Genome and Phenome to Define Disease Risk with Antinuclear AntibodiesR01AR076516 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KAWAI, VIVIAN K · 2020 to 2024
$2.8M
Leveraging common genetic variation to reduce misclassification of non-diseased individuals and unnecessary health care utilization attributable to surrogate biomarkersR01GM130791 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MOSLEY, JONATHAN DAVID · 2019 to 2023
$2.3M
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NCRR NIH HHS S10 RR025141NCRR NIH HHS UL1 RR024975NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01 HG006378NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS U19 HL065962NIAMS NIH HHS R01 AR076516NICHD NIH HHS R01 HD074711NIGMS NIH HHS P50 GM115305NIGMS NIH HHS R01 GM130791NIGMS NIH HHS RC2 GM092618NINDS NIH HHS R01 NS032830
6 · The paper itself

Abstract

Some autoimmune (AI) conditions affect white blood cell (WBC) counts. Whether a genetic predisposition to AI disease associates with WBC counts in populations expected to have low numbers of AI cases is not known. We developed genetic instruments for 7 AI diseases using genome-wide association study summary statistics. Two-sample inverse variance weighted regression (IVWR) was used to determine associations between each instrument and WBC counts. Effect size represents change in transformed WBC counts per change in log odds-ratio of the disease. For AI diseases with significant associations by IVWR, polygenic risk scores (PRS) were used to test for associations with measured WBC counts in individuals of European ancestry in a community-based (ARIC, n = 8926), and a medical-center derived cohort (BioVU, n = 40,461). The IVWR analyses revealed significant associations between 3 AI diseases and WBC counts: systemic lupus erythematous (Beta = - 0.05 [95% CI, - 0.06, - 0.03]), multiple sclerosis (Beta =  - 0.06 [- 0.10, - 0.03]), and rheumatoid arthritis (Beta = 0.02 [0.01, 0.03]). PRS for these diseases showed associations with measured WBC counts in ARIC and BioVU. Effect sizes tended to be larger among females, consistent with the known higher prevalence of these diseases among this group. This study shows that genetic predisposition to systemic lupus erythematosus, rheumatoid arthritis, and multiple sclerosis was associated with WBC counts, even in populations expected to have very low numbers of disease cases.

Indexed as

Arthritis, RheumatoidAutoimmune DiseasesMultiple SclerosisFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLeukocyte Count

Identifiers

PMID37041293
PMCPMC10090175
OpenAlexW4364379243

What OpenQuestion holds

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LicenceCC BY
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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.