Evidence map›Paper›PMID 35418986›Full record

ArticleFrontiers in immunology2022

A Novel Gene CDC27 Causes SLE and Is Associated With the Disease Activity.

Shunlai Shang, Yena Zhou, Keng Chen, Lang Chen, Ping Li, Diangeng Li, Shaoyuan Cui, Mei-Jun Zhang, Xiangmei Chen, Qinggang Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. 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
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Upregulation ofCanadian respiratory journal · 2025
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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

10 authors at 5 institutions in 1 country.

Shunlai ShangSchool of Medicine, Nankai University, Tianjin, China.
Yena ZhouSchool of Medicine, Nankai University, Tianjin, China.
Keng ChenClinical Medical School, Guangdong Pharmaceutical University, Guangzhou, China.
Lang ChenMedical Technology & Bioinformatics Department, Beijing Mygenostics co., LTD, Beijing, China.
Ping LiDepartment of Nephrology, The First Medical Center, Chinese PLA General Hospital, Medical School of Chinese PLA, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China.
Diangeng LiDepartment of Academic Research, Beijing-Chaoyang Hospital, Capital Medical University, Beijing, China.
Shaoyuan CuiDepartment of Nephrology, The First Medical Center, Chinese PLA General Hospital, Medical School of Chinese PLA, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China.
Mei-Jun ZhangBioinformation Department, Geneis (Beijing) Co., Ltd., Beijing, China.
Xiangmei ChenSchool of Medicine, Nankai University, Tianjin, China.
Qinggang LiDepartment of Nephrology, The First Medical Center, Chinese PLA General Hospital, Medical School of Chinese PLA, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China.
Chinese PLA General Hospital · CNNankai University · CNState Key Laboratory of Kidney DiseasesBeijing Chao-Yang Hospital · CNGuangdong Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As genetic genetic factors are important in SLE, so screening causative genes is of great significance for the prediction and early prevention in people who may develop SLE. At present, it is very difficult to screen causative genes through pedigrees. The analytical method described herein can be used to screen causative genes for SLE and other complex diseases through pedigrees. Methods: For the first time, 24 lupus pedigrees were analyzed by combining whole exon sequencing and a variety of biological information tools including common-specific analysis, pVAAST (pedigree variant annotation, analysis and search tool), Exomiser (Combining phenotype and PPI associated analysis), and FARVAT (family based gene burden), and the causative genes of these families with lupus identified. Selected causative genes in peripheral-blood mononuclear cells (PBMCs) were evaluated by quantitative polymerase chain reaction (qPCR). Results: Cell division cycle 27 (CDC27) was screened out by common-specific analysis and Exomiser causative gene screening. FARVAT analysis on these families detected only CDC27 at the extremely significant level (false discovery rate <0.05) by three family-based burden analyses (BURDEN, CALPHA, and SKATO). QPCR was performed to detect for CDC27 in the PBMCs of the SLE family patients, sporadic lupus patients, and healthy people. Compared with the healthy control group, CDC27 expression was low in lupus patients (familial and sporadic patients) ( Conclusion: The CDC27 gene, as found through WES combined with multiple analytical method may be a causative gene of lupus. CDC27 may serve as a marker for the diagnosis of SLE and is closely related to the lupus activity. We hope that the analytical method in this study will be used to screen causative genes for other diseases through small pedigrees, especially among non-close relatives.

Indexed as

Apc3 Subunit, Anaphase-Promoting Complex-CyclosomeLupus Erythematosus, SystemicBiomarkersHumansLeukocytes, MononuclearReal-Time Polymerase Chain ReactionROC CurveApc3 Subunit, Anaphase-Promoting Complex-CyclosomeBiomarkersCDC27 protein, humanCDC27lupus familymarkermultiple bioinformatics analysiswhole exone sequencing

Identifiers

PMID35418986
PMCPMC8996071
OpenAlexW4221048803

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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.