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Record W4225011861 · doi:10.2215/cjn.13711021

GWAS of Hematuria

2022· article· en· W4225011861 on OpenAlexafffund

Bibliographic record

VenueClinical Journal of the American Society of Nephrology · 2022
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsHospital for Sick ChildrenPublic Health OntarioToronto General HospitalUniversity Health NetworkUniversity of TorontoUniversité de MontréalMontreal Heart Institute
FundersInstitute of Nutrition, Metabolism and DiabetesFonds de Recherche du Québec - SantéInstitut de Valorisation des DonnéesAlport Syndrome Foundation
KeywordsGenome-wide association studyAlport syndromeMEDLINEGenetic variantsMicroscopic hematuriaGlomerulonephritisNephropathy

Abstract

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Background and objectives Glomerular hematuria has varied causes but can have a genetic basis, including Alport syndrome and IgA nephropathy. Design, setting, participants, & measurements We used summary statistics to identify genetic variants associated with hematuria in White British UK Biobank participants. Individuals with glomerular hematuria were enriched by excluding participants with genitourinary conditions. A strongly associated locus on chromosome 2 ( COL4A4 - COL4A3 ) was identified. The region was reimputed using the Trans-Omics for Precision Medicine Program followed by sequential rounds of regional conditional analysis, conditioning on previous genetic signals. Similarly, we applied conditional analysis to identify independent variants in the MHC region on chromosome 6 using imputed HLA haplotypes. Results In total, 16,866 hematuria cases and 391,420 controls were included. Cases had higher urinary albumin-creatinine compared with controls (women: 13.01 mg/g [8.05–21.33] versus 12.12 mg/g [7.61–19.29]; P <0.001; men: 8.85 mg/g [5.66–16.19] versus 7.52 mg/g [5.04–12.39]; P <0.001) and lower eGFR (women: 88±14 versus 90±13 ml/min per 1.72 m 2 ; P <0.001; men: 87±15 versus 90±13 ml/min per 1.72 m 2 ; P <0.001), supporting enrichment of glomerular hematuria. Variants at six loci ( PDPN , COL4A4-COL4A3 , HLA-B , SORL1 , PLLP , and TGFB1 ) met genome-wide significance ( P <5E-8). At chromosome 2, COL4A4 p.Ser969X (rs35138315; minor allele frequency=0.00035; P <7.95E-35; odds ratio, 87.3; 95% confidence interval, 47.9 to 159.0) had the most significant association, and two variants in the locus remained associated with hematuria after conditioning for this variant: COL4A3 p.Gly695Arg (rs200287952; minor allele frequency=0.00021; P <2.16E-7; odds ratio, 45.5; 95% confidence interval, 11.8 to 168.0) and a common COL4A4 intron 25 variant (not previously reported; rs58261427; minor allele frequency=0.214; P <2.00E-9; odds ratio, 1.09; 95% confidence interval, 1.06 to 1.12). Of the HLA haplotypes, HLA-B ( *0801 ; minor allele frequency=0.14; P <4.41E-24; odds ratio, 0.84; 95% confidence interval, 0.82 to 0.88) displayed the most statistically significant association. For remaining loci, we identified three novel associations, which were replicated in the deCODE dataset for dipstick hematuria (nearest genes: PDPN , SORL1 , and PLLP ). Conclusions Our study identifies six loci associated with hematuria, including independent variants in COL4A4 - COL4A3 and HLA-B . Additionally, three novel loci are reported, including an association with an intronic variant in PDPN expressed in the podocyte. Podcast This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_04_26_CJN13711021.mp3

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.407
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2022
Admission routes2
Has abstractyes

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