Evidence map›Paper›PMID 31089471›Full record

ArticleJournal of diabetes research2019

Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors.

Matthew P Johnson, Ryan Keyho, Nicholas B Blackburn, Sandra Laston, Satish Kumar, Juan Peralta, Suman S Thapa, Bradford Towne, Janardan Subedi, John Blangero and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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 3 countries.

Matthew P JohnsonSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USA.ORCID 0000-0003-3278-1844
Ryan KeyhoThe University of Texas at Austin, Austin, Texas 78705, USA.ORCID 0000-0001-9956-6909
Nicholas B BlackburnSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USA.ORCID 0000-0002-9774-1539
Sandra LastonSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USA.
Satish KumarSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USA.ORCID 0000-0002-1969-4431
Juan PeraltaSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USA.
Suman S ThapaTilganga Institute of Ophthalmology, Gaushala, Bagmati Bridge, P.O. Box 561, Kathmandu, Nepal.
Bradford TowneDepartment of Population Health and Public Health Sciences, Boonshoft School of Medicine, Wright State University, Kettering, Ohio 45435, USA.
Janardan SubediDepartment of Sociology and Gerontology, College of Arts and Science, Miami University, Oxford, Ohio 45056, USA.
John BlangeroSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USA.ORCID 0000-0001-6250-5723
Sarah Williams-BlangeroSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USA.
The University of Texas Rio Grande Valley · USMiami University · USThe University of Texas at Austin · USTilganga Institute of Ophthalmology · NPUniversity of Tasmania · AUWright State University · US

Funding

Construction of a Biomedical Research Facility at the U*C06RR020547 · NCRR · UNIV/TEXAS BROWNSVILLE & SOUTHMOST COLL · PI KROUSE, JOHN H · 2010 to 2010
$4.0M
Genetic Epidemiology of Ocular Health and DiseaseR01EY024384 · NEI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI WILLIAMS-BLANGERO, SARAH A. · 2014 to 2018
$3.6M
NCRR NIH HHS C06 RR020547NEI NIH HHS R01 EY024384
6 · The paper itself

Abstract

Measurements of fasting glucose (FG) or glycated hemoglobin A1c (HbA1c) are two clinically approved approaches commonly used to determine glycemia, both of which are influenced by genetic factors. Obtaining accurate measurements of FG or HbA1c is not without its challenges, though. Measuring glycated serum protein (GSP) offers an alternative approach for assessing glycemia. The aim of this study was to estimate the heritability of GSP and GSP expressed as a percentage of total serum albumin (%GA) using a variance component approach and localize genomic regions (QTLs) that harbor genes likely to influence GSP and %GA trait variation in a large extended multigenerational pedigree from Jiri, Nepal (

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkersBlood GlucoseBlood PressureBlood ProteinsBody Mass IndexCardiovascular DiseasesCholesterol, HDLDiabetes MellitusFamily HealthFemaleGenetic Predisposition to DiseaseGenotypeBiomarkersBlood GlucoseBlood ProteinsCholesterol, HDLGlycated Hemoglobinhemoglobin A1c protein, humanLipidsSerum Albumin

Identifiers

PMID31089471
PMCPMC6476113
OpenAlexW2934252830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.