Evidence map›Paper›PMID 33319642›Full record

ArticleEpigenetics2021

Epigenome-wide association study and network analysis for IgA Nephropathy from CD19

Yifei Lin, Peiran Yin, Zhaozhong Zhu, Yuan Peng, Ming Li, Jun Li, Liming Liang, Xueqing Yu

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Genetic association study ofRenal failure · 2024
    Article
  4. Article
  5. An Update on the Genetics of IgA Nephropathy.Journal of clinical medicine · 2023
    Review
  6. Article
  7. Article
  8. 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

8 authors at 2 institutions in 2 countries.

Yifei LinPrecision Medicine Center, Department of Urology, Medical Device Regulatory Research and Evaluation Center, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-3184-9213
Peiran YinDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhaozhong ZhuProgram in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-5662-1541
Yuan PengDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ming LiDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jun LiProgram in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Liming LiangProgram in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-8261-3174
Xueqing YuDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Harvard University · USSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IgA nephropathy (IgAN) is the most common primary glomerular disease in China and worldwide. The proliferation of B cells is known to be associated with both risk and prognosis of IgAN, but the epigenetic mechanism underlying this association is unknown. In this study we carried out the first Epigenome-wide Association Study (EWAS) by using the latest Infinium Methylation EPIC BeadChip on 184 B cell-specific samples (92 case/control pairs) for Chinese IgAN population. After rigorous data normalization and residual batch effect correction, linear mixed effect model was used to detect methylation CpG sites associated with IgAN adjusting for age, gender and smoking. False discovery rate (

Indexed as

EpigenomeGlomerulonephritis, IGACase-Control StudiesDNA MethylationEpigenesis, GeneticGenome-Wide Association StudyHumansb cellsCpGsepigenome-wide association studyIgA nephropathy

Identifiers

PMID33319642
PMCPMC8813080
OpenAlexW3110753191

What OpenQuestion holds

Textmetadata
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.