Evidence map›Paper›PMID 27730700›Full record

ArticleJournal of internal medicine2017

Multiple rare genetic variants co-segregating with familial IgA nephropathy all act within a single immune-related network.

S N Cox, F Pesce, J S El-Sayed Moustafa, F Sallustio, G Serino, C Kkoufou, A Giampetruzzi, N Ancona, M Falchi, F P Schena and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Analysis of a Familial IgAN Accompanied by COL4A3 Mutation.Journal of inflammation research · 2024
    Article
  4. An Update on the Genetics of IgA Nephropathy.Journal of clinical medicine · 2023
    Review
  5. Cells · 2021
    Article
  6. Observational
  7. Article
  8. Article
  9. Association betweenPeerJ · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. 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

11 authors at 6 institutions in 2 countries.

S N CoxDepartment of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
F PesceDepartment of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
J S El-Sayed MoustafaDepartment of Genomics of Common Disease, Imperial College London, London, UK.
F SallustioDepartment of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
G SerinoDepartment of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
C KkoufouDepartment of Genomics of Common Disease, Imperial College London, London, UK.
A GiampetruzziDepartment of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy.
N AnconaISSIA, CNR, Bari, Italy.
M FalchiDepartment of Genomics of Common Disease, Imperial College London, London, UK.
F P SchenaDepartment of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
European IgAN Consortium
University of Bari Aldo Moro · ITImperial College London · GBGastroenterology Hospital "Saverio de Bellis" · ITGenomics England · GBInstitute of Intelligent Systems for Automation · ITKing's College London · GB

Funding

Medical Research Council MR/K01353X/1
6 · The paper itself

Abstract

backgroundIgA nephropathy (IgAN) is a common complex disease with a strong genetic involvement. We aimed to identify novel, rare, highly penetrant risk variants combining family-based linkage analysis with whole-exome sequencing (WES).

methodsLinkage analysis of 16 kindreds of South Italian ancestry was performed using an 'affected-only' strategy. Eight most informative trios composed of two familial cases and an intrafamilial control were selected for WES. High-priority variants in linked regions were identified and validated using Sanger sequencing. Custom TaqMan assays were designed and carried out in the 16 kindreds and an independent cohort of 240 IgAN patients and 113 control subjects.

resultsWe found suggestive linkage signals in 12 loci. After sequential filtering and validation of WES data, we identified 24 private or extremely rare (MAF <0.0003) linked variants segregating with IgAN status. These were present within coding or regulatory regions of 23 genes that merged into a common functional network. The genes were interconnected by AKT, CTNNB1, NFKB, MYC and UBC, key modulators of WNT/β-catenin and PI3K/Akt pathways, which are implicated in IgAN pathogenesis. Overlaying publicly available expression data, genes/proteins with expression notably altered in IgAN were included in this immune-related network. In particular, the network included the glucocorticoid receptor gene, NR3C1, which is the target of corticosteroid therapy routinely used in the treatment of IgAN.

conclusionOur findings suggest that disease susceptibility could be influenced by multiple rare variants acting in a common network that could provide the starting point for the identification of potential drug targets for personalized therapy.

Indexed as

ExomeGenome, HumanGenomic Structural VariationGenetic LinkageGenetic Predisposition to DiseaseGlomerulonephritis, IGAHumansPedigreeSequence Analysis, DNAfamily medicinegene polymorphismgeneticsglomerulonephritiskidney disease

Identifiers

PMID27730700
PMCPMC5297991
OpenAlexW2530621519

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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.