Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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
2 citing papers in PubMed, 3 citations in OpenAlex.
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 2 institutions in 1 country.
Anastasiia A BuianovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova Str., 1, p. 1, 117513 Moscow, Russia.ORCID 0000-0001-7894-9222
Valery V CheranevCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova Str., 1, p. 1, 117513 Moscow, Russia.ORCID 0000-0001-5294-3033
Vera A BelovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova Str., 1, p. 1, 117513 Moscow, Russia.ORCID 0000-0001-5930-1965
Anna O ShmitkoCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova Str., 1, p. 1, 117513 Moscow, Russia.ORCID 0000-0001-5256-0892
Anna S PavlovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova Str., 1, p. 1, 117513 Moscow, Russia.
Iuliia A VasiliadisCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova Str., 1, p. 1, 117513 Moscow, Russia.
Oleg N SuchalkoCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova Str., 1, p. 1, 117513 Moscow, Russia.
Denis V RebrikovCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova Str., 1, p. 1, 117513 Moscow, Russia.ORCID 0000-0002-1884-1807
Edita K PetrosyanNephrology Department, Russian Children's Clinical Hospital, Leninsky Prospect 117, 119571 Moscow, Russia.
Dmitriy O KorostinCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Ostrovityanova Str., 1, p. 1, 117513 Moscow, Russia.ORCID 0000-0003-1343-2550
Pirogov Russian National Research Medical University · RURussian Children's Clinical Hospital · RU
Funding
Ministry of Science and Higher Education of the Russian Federation 075-15-2019-1789
6 · The paper itself
Abstract
IgA nephropathy (IgAN) is an autoimmune disorder which is believed to be non-monogenic. We performed an exome-wide association study of 70 children with IgAN and 637 healthy donors. The HLA allele frequencies were compared between the patients and healthy donors from the bone marrow registry of the Pirogov University. We tested 78,020 gene markers for association and performed functional enrichment analysis and transcription factor binding preference detection. We identified 333 genetic variants, employing three inheritance models. The most significant association with the disorder was observed for rs143409664 (
Indexed as
Glomerulonephritis, IGAUbiquitin-Protein LigasesCase-Control StudiesChildExomeGenetic MarkersGenetic Predisposition to DiseaseHLA-DQ alpha-ChainsHumansIntracellular Signaling Peptides and ProteinsPolymorphism, Single NucleotideGenetic MarkersHLA-DQA1 antigenHLA-DQ alpha-ChainsIntracellular Signaling Peptides and ProteinsPRAG1 protein, humanUbiquitin-Protein Ligasesautoimmune diseaseexome sequencinggenetic predisposition to diseaseIgA nephropathypediatrics
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.
Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study. · full record | OpenQuestion