Evidence map›Paper›PMID 33815486›Full record

ArticleFrontiers in genetics2021

Detection of Genetic Overlap Between Rheumatoid Arthritis and Systemic Lupus Erythematosus Using GWAS Summary Statistics.

Haojie Lu, Jinhui Zhang, Zhou Jiang, Meng Zhang, Ting Wang, Huashuo Zhao, Ping Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

7 authors at 1 institution in 1 country.

Haojie LuDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Jinhui ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Zhou JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Meng ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Ting WangDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Huashuo ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Ping ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical and epidemiological studies have suggested systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) are comorbidities and common genetic etiologies can partly explain such coexistence. However, shared genetic determinations underlying the two diseases remain largely unknown.

methodsOur analysis relied on summary statistics available from genome-wide association studies of SLE (

resultsWe found there existed a significant positive genetic correlation (

conclusionThis study reveals common genetic components between RA and SLE and provides candidate associated loci for understanding of molecular mechanism underlying the comorbidity of the two diseases.

Indexed as

conjunction conditional false discover rateharmonic mean P-valuepleiotropic genesrheumatoid arthritissystemic lupus erythematosus

Identifiers

PMID33815486
PMCPMC8012913
OpenAlexW3139470225

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.