Membranous nephropathy in the UK Biobank.

<h4>Background</h4>Despite MN being one of the most common causes of nephrotic syndrome worldwide, its biological and environmental determinants are poorly understood in large-part due to it being a rare disease. Making use of the UK Biobank, a unique resource holding a clinical dataset...

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Main Authors: Patrick Hamilton, Kieran Blaikie, Stephen A Roberts, Matthew Gittins, Mallory L Downie, Sanjana Gupta, Catalin Voinescu, Durga Kanigicherla, Horia Stanescu, Robert Kleta, Paul Brenchley
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0281795
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author Patrick Hamilton
Kieran Blaikie
Stephen A Roberts
Matthew Gittins
Mallory L Downie
Sanjana Gupta
Catalin Voinescu
Durga Kanigicherla
Horia Stanescu
Robert Kleta
Paul Brenchley
author_facet Patrick Hamilton
Kieran Blaikie
Stephen A Roberts
Matthew Gittins
Mallory L Downie
Sanjana Gupta
Catalin Voinescu
Durga Kanigicherla
Horia Stanescu
Robert Kleta
Paul Brenchley
author_sort Patrick Hamilton
collection DOAJ
description <h4>Background</h4>Despite MN being one of the most common causes of nephrotic syndrome worldwide, its biological and environmental determinants are poorly understood in large-part due to it being a rare disease. Making use of the UK Biobank, a unique resource holding a clinical dataset and stored DNA, serum and urine for ~500,000 participants, this study aims to address this gap in understanding.<h4>Methods</h4>The primary outcome was putative MN as defined by ICD-10 codes occurring in the UK Biobank. Univariate relative risk regression modelling was used to assess the associations between the incidence of MN and related phenotypes with sociodemographic, environmental exposures, and previously described increased-risk SNPs.<h4>Results</h4>502,507 patients were included in the study of whom 100 were found to have a putative diagnosis of MN; 36 at baseline and 64 during the follow-up. Prevalence at baseline and last follow-up were 72 and 199 cases/million respectively. At baseline, as expected, the majority of those previously diagnosed with MN had proteinuria, and there was already evidence of proteinuria in patients diagnosed within the first 5 years of follow-up. The highest incidence rate for MN in patients was seen in those homozygous for the high-risk alleles (9.9/100,000 person-years).<h4>Conclusion</h4>It is feasible to putatively identify patients with MN in the UK Biobank and cases are still accumulating. This study shows the chronicity of disease with proteinuria present years before diagnosis. Genetics plays an important role in disease pathogenesis, with the at-risk group providing a potential population for recall.
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spelling doaj.art-4f56f781985d4549bd09452989ed66ef2023-05-13T05:31:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01184e028179510.1371/journal.pone.0281795Membranous nephropathy in the UK Biobank.Patrick HamiltonKieran BlaikieStephen A RobertsMatthew GittinsMallory L DownieSanjana GuptaCatalin VoinescuDurga KanigicherlaHoria StanescuRobert KletaPaul Brenchley<h4>Background</h4>Despite MN being one of the most common causes of nephrotic syndrome worldwide, its biological and environmental determinants are poorly understood in large-part due to it being a rare disease. Making use of the UK Biobank, a unique resource holding a clinical dataset and stored DNA, serum and urine for ~500,000 participants, this study aims to address this gap in understanding.<h4>Methods</h4>The primary outcome was putative MN as defined by ICD-10 codes occurring in the UK Biobank. Univariate relative risk regression modelling was used to assess the associations between the incidence of MN and related phenotypes with sociodemographic, environmental exposures, and previously described increased-risk SNPs.<h4>Results</h4>502,507 patients were included in the study of whom 100 were found to have a putative diagnosis of MN; 36 at baseline and 64 during the follow-up. Prevalence at baseline and last follow-up were 72 and 199 cases/million respectively. At baseline, as expected, the majority of those previously diagnosed with MN had proteinuria, and there was already evidence of proteinuria in patients diagnosed within the first 5 years of follow-up. The highest incidence rate for MN in patients was seen in those homozygous for the high-risk alleles (9.9/100,000 person-years).<h4>Conclusion</h4>It is feasible to putatively identify patients with MN in the UK Biobank and cases are still accumulating. This study shows the chronicity of disease with proteinuria present years before diagnosis. Genetics plays an important role in disease pathogenesis, with the at-risk group providing a potential population for recall.https://doi.org/10.1371/journal.pone.0281795
spellingShingle Patrick Hamilton
Kieran Blaikie
Stephen A Roberts
Matthew Gittins
Mallory L Downie
Sanjana Gupta
Catalin Voinescu
Durga Kanigicherla
Horia Stanescu
Robert Kleta
Paul Brenchley
Membranous nephropathy in the UK Biobank.
PLoS ONE
title Membranous nephropathy in the UK Biobank.
title_full Membranous nephropathy in the UK Biobank.
title_fullStr Membranous nephropathy in the UK Biobank.
title_full_unstemmed Membranous nephropathy in the UK Biobank.
title_short Membranous nephropathy in the UK Biobank.
title_sort membranous nephropathy in the uk biobank
url https://doi.org/10.1371/journal.pone.0281795
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