Evidence map›Paper›PMID 35870639›Full record

ArticleKidney international2022

Identification of 969 protein quantitative trait loci in an African American population with kidney disease attributed to hypertension.

Aditya Surapaneni, Pascal Schlosser, Linda Zhou, Celina Liu, Nilanjan Chatterjee, Dan E Arking, Diptavo Dutta, Josef Coresh, Eugene P Rhee, Morgan E Grams

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  19. African ancestry neurodegeneration risk variant disrupts an intronic branchpoint inmedRxiv : the preprint server for health sciences · 2024
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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

10 authors at 4 institutions in 2 countries.

Aditya SurapaneniDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA; Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.
Pascal SchlosserDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA; Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.
Linda ZhouDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Celina LiuDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Nilanjan ChatterjeeDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Dan E ArkingMcKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Diptavo DuttaInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.
Josef CoreshDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA; Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Eugene P RheeNephrology Division and Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Morgan E GramsDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA; Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA. Electronic address: morgan.grams@nyulangone.org.
Johns Hopkins University · USUniversity of Freiburg · DEMassachusetts General Hospital · USNew York University · US

Funding

Multi-Omics and Chronic Kidney Disease: Correlation with HistologyR01DK108803 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams, EUGENE P. RHEE · 2016 to 2026
$6.4M
Prevention and Treatment of Cardiovascular Disease in Patients with Chronic Kidney Disease: Patient-Oriented Research and Mentoring - RenewalK24HL155861 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams · 2021 to 2026
$732k
NHLBI NIH HHS K24 HL155861NIDDK NIH HHS R01 DK108803
6 · The paper itself

Abstract

Investigations into the causal underpinnings of disease processes can be aided by the incorporation of genetic information. Genetic studies require populations varied in both ancestry and prevalent disease in order to optimize discovery and ensure generalizability of findings to the global population. Here, we report the genetic determinants of the serum proteome in 466 African Americans with chronic kidney disease attributed to hypertension from the richly phenotyped African American Study of Kidney Disease and Hypertension (AASK) study. Using the largest aptamer-based protein profiling platform to date (6,790 proteins or protein complexes), we identified 969 genetic associations with 900 unique proteins; including 52 novel cis (local) associations and 379 novel trans (distant) associations. The genetic effects of previously published cis-protein quantitative trait loci (pQTLs) were found to be highly reproducible, and we found evidence that our novel genetic signals colocalize with gene expression and disease processes. Many trans- pQTLs were found to reflect associations mediated by the circulating cis protein, and the common trans-pQTLs are enriched for processes involving extracellular vesicles, highlighting a plausible mechanism for distal regulation of the levels of secreted proteins. Thus, our study generates a valuable resource of genetic associations linking variants to protein levels and disease in an understudied patient population to inform future studies of drug targets and physiology.

Indexed as

HypertensionKidney DiseasesBlack or African AmericanGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideProteomeQuantitative Trait LociProteomegenome-wide association studypQTLprotein quantitative trait lociproteome

Identifiers

PMID35870639
PMCPMC12997408
OpenAlexW4286517154

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.