Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors

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 glycate...

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Main Authors: Matthew P. Johnson, Ryan Keyho, Nicholas B. Blackburn, Sandra Laston, Satish Kumar, Juan Peralta, Suman S. Thapa, Bradford Towne, Janardan Subedi, John Blangero, Sarah Williams-Blangero
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Journal of Diabetes Research
Online Access:http://dx.doi.org/10.1155/2019/2310235
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spelling doaj-32f35dc8c67b4f56b680e872d7e3b70f2020-11-25T01:37:18ZengHindawi LimitedJournal of Diabetes Research2314-67452314-67532019-01-01201910.1155/2019/23102352310235Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk FactorsMatthew P. Johnson0Ryan Keyho1Nicholas B. Blackburn2Sandra Laston3Satish Kumar4Juan Peralta5Suman S. Thapa6Bradford Towne7Janardan Subedi8John Blangero9Sarah Williams-Blangero10South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USAThe University of Texas at Austin, Austin, Texas 78705, USASouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USASouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USASouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USASouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USATilganga Institute of Ophthalmology, Gaushala, Bagmati Bridge, P.O. Box 561, Kathmandu, NepalDepartment of Population Health and Public Health Sciences, Boonshoft School of Medicine, Wright State University, Kettering, Ohio 45435, USADepartment of Sociology and Gerontology, College of Arts and Science, Miami University, Oxford, Ohio 45056, USASouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USASouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, Texas 78520, USAMeasurements 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 (n=1,800). We also performed quantitative bivariate analyses to assess the relationship between GSP or %GA and several cardiometabolic traits. Additive genetic effects significantly influence variation in GSP and %GA levels (p values: 1.15×10−5 and 3.39×10−5, respectively). We localized a significant (LOD score=3.18) and novel GSP QTL on chromosome 11q, which has been previously linked to type 2 diabetes. Two common (MAF>0.4) SNPs within the chromosome 11 QTL were associated with GSP (adjusted pvalue<5.87×10−5): an intronic variant (rs10790184) in the DSCAML1 gene and a 3′UTR variant (rs8258) in the CEP164 gene. Significant positive correlations were observed between GSP or %GA and blood pressure, and lipid traits (p values: 0.0062 to 1.78×10−9). A significant negative correlation was observed between %GA and HDL cholesterol (p=1.12×10−5). GSP is influenced by genetic factors and can be used to assess glycemia and diabetes risk. Thus, GSP measurements can facilitate glycemic studies when accurate FG and/or HbA1c measurements are difficult to obtain. GSP can also be measured from frozen blood (serum) samples, which allows the prospect of retrospective glycemic studies using archived samples.http://dx.doi.org/10.1155/2019/2310235
collection DOAJ
language English
format Article
sources DOAJ
author Matthew P. Johnson
Ryan Keyho
Nicholas B. Blackburn
Sandra Laston
Satish Kumar
Juan Peralta
Suman S. Thapa
Bradford Towne
Janardan Subedi
John Blangero
Sarah Williams-Blangero
spellingShingle Matthew P. Johnson
Ryan Keyho
Nicholas B. Blackburn
Sandra Laston
Satish Kumar
Juan Peralta
Suman S. Thapa
Bradford Towne
Janardan Subedi
John Blangero
Sarah Williams-Blangero
Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors
Journal of Diabetes Research
author_facet Matthew P. Johnson
Ryan Keyho
Nicholas B. Blackburn
Sandra Laston
Satish Kumar
Juan Peralta
Suman S. Thapa
Bradford Towne
Janardan Subedi
John Blangero
Sarah Williams-Blangero
author_sort Matthew P. Johnson
title Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors
title_short Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors
title_full Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors
title_fullStr Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors
title_full_unstemmed Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors
title_sort glycated serum protein genetics and pleiotropy with cardiometabolic risk factors
publisher Hindawi Limited
series Journal of Diabetes Research
issn 2314-6745
2314-6753
publishDate 2019-01-01
description 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 (n=1,800). We also performed quantitative bivariate analyses to assess the relationship between GSP or %GA and several cardiometabolic traits. Additive genetic effects significantly influence variation in GSP and %GA levels (p values: 1.15×10−5 and 3.39×10−5, respectively). We localized a significant (LOD score=3.18) and novel GSP QTL on chromosome 11q, which has been previously linked to type 2 diabetes. Two common (MAF>0.4) SNPs within the chromosome 11 QTL were associated with GSP (adjusted pvalue<5.87×10−5): an intronic variant (rs10790184) in the DSCAML1 gene and a 3′UTR variant (rs8258) in the CEP164 gene. Significant positive correlations were observed between GSP or %GA and blood pressure, and lipid traits (p values: 0.0062 to 1.78×10−9). A significant negative correlation was observed between %GA and HDL cholesterol (p=1.12×10−5). GSP is influenced by genetic factors and can be used to assess glycemia and diabetes risk. Thus, GSP measurements can facilitate glycemic studies when accurate FG and/or HbA1c measurements are difficult to obtain. GSP can also be measured from frozen blood (serum) samples, which allows the prospect of retrospective glycemic studies using archived samples.
url http://dx.doi.org/10.1155/2019/2310235
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