Evidence map›Paper›PMID 37005464›Full record

ArticleScientific reports2023

Molecular pathways identified from single nucleotide polymorphisms demonstrate mechanistic differences in systemic lupus erythematosus patients of Asian and European ancestry.

Katherine A Owen, Kristy A Bell, Andrew Price, Prathyusha Bachali, Hannah Ainsworth, Miranda C Marion, Timothy D Howard, Carl D Langefeld, Nan Shen, Jinoos Yazdany and 3 more

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Immunometabolism in systemic lupus erythematosus.Nature reviews. Rheumatology · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. A Non-Coding Variant inFrontiers in lupus · 2023
    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

13 authors at 4 institutions in 2 countries.

Katherine A OwenAMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA. kate.owen@ampelbiosolutions.com.
Kristy A BellAMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA.
Andrew PriceAMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA.
Prathyusha BachaliAMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA.
Hannah AinsworthDepartment of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA.
Miranda C MarionDepartment of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA.
Timothy D HowardDepartment of Biochemistry, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA.
Carl D LangefeldDepartment of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA.
Nan ShenShanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jinoos YazdanyUniversity of California San Francisco, San Francisco, CA, 94117, USA.
Maria Dall'eraUniversity of California San Francisco, San Francisco, CA, 94117, USA.
Amrie C GrammerAMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA.
Peter E LipskyAMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA.
Ampel BioSolutions (United States) · USWake Forest University · USUniversity of California, San Francisco · USRenji Hospital · CN

Funding

Epidemiology of Lupus: Longitudinal Studies in Population-Based Cohorts - 2019U01DP006486 · DP · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DALL'ERA, MARIA · 2019 to 2021
$2.6M
NCCDPHP CDC HHS U01 DP006486
6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is a multi-organ autoimmune disorder with a prominent genetic component. Individuals of Asian-Ancestry (AsA) disproportionately experience more severe SLE compared to individuals of European-Ancestry (EA), including increased renal involvement and tissue damage. However, the mechanisms underlying elevated severity in the AsA population remain unclear. Here, we utilized available gene expression data and genotype data based on all non-HLA SNP associations in EA and AsA SLE patients detected using the Immunochip genotyping array. We identified 2778 ancestry-specific and 327 trans-ancestry SLE-risk polymorphisms. Genetic associations were examined using connectivity mapping and gene signatures based on predicted biological pathways and were used to interrogate gene expression datasets. SLE-associated pathways in AsA patients included elevated oxidative stress, altered metabolism and mitochondrial dysfunction, whereas SLE-associated pathways in EA patients included a robust interferon response (type I and II) related to enhanced cytosolic nucleic acid sensing and signaling. An independent dataset derived from summary genome-wide association data in an AsA cohort was interrogated and identified similar molecular pathways. Finally, gene expression data from AsA SLE patients corroborated the molecular pathways predicted by SNP associations. Identifying ancestry-related molecular pathways predicted by genetic SLE risk may help to disentangle the population differences in clinical severity that impact AsA and EA individuals with SLE.

Indexed as

Genetic Predisposition to DiseaseLupus Erythematosus, SystemicCase-Control StudiesGenome-Wide Association StudyGenotypeHumansPolymorphism, Single Nucleotide

Identifiers

PMID37005464
PMCPMC10067935
OpenAlexW4362522315

What OpenQuestion holds

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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.