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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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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