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Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study
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| Zeitschriftentitel: | Journal of Internal Medicine |
|---|---|
| Personen und Körperschaften: | , , , , , |
| In: | Journal of Internal Medicine, 273, 2013, 3, S. 283-293 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
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| Schlagwörter: |
| author_facet |
Jansen, H. Stolk, R. P. Nolte, I. M. Kema, I. P. Wolffenbuttel, B. H. R. Snieder, H. Jansen, H. Stolk, R. P. Nolte, I. M. Kema, I. P. Wolffenbuttel, B. H. R. Snieder, H. |
|---|---|
| author |
Jansen, H. Stolk, R. P. Nolte, I. M. Kema, I. P. Wolffenbuttel, B. H. R. Snieder, H. |
| spellingShingle |
Jansen, H. Stolk, R. P. Nolte, I. M. Kema, I. P. Wolffenbuttel, B. H. R. Snieder, H. Journal of Internal Medicine Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study Internal Medicine |
| author_sort |
jansen, h. |
| spelling |
Jansen, H. Stolk, R. P. Nolte, I. M. Kema, I. P. Wolffenbuttel, B. H. R. Snieder, H. 0954-6820 1365-2796 Wiley Internal Medicine http://dx.doi.org/10.1111/joim.12010 <jats:title>Abstract</jats:title><jats:sec><jats:title>Objectives</jats:title><jats:p>Glycated haemoglobin (HbA1c) is associated with cardiovascular disease risk in individuals without diabetes, and its use has been recommended for diagnosing diabetes. Therefore, it is important to gain further understanding of the determinants of HbA1c. The aim of this study was to investigate the effects of genetic loci and clinical and lifestyle parameters, and their interactions, on HbA1c in nondiabetic adults.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Population‐based cohort study.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Three northern provinces of the Netherlands.</jats:p></jats:sec><jats:sec><jats:title>Subjects</jats:title><jats:p>A total of 2921 nondiabetic adults participating in the population‐based LifeLines Cohort Study.</jats:p></jats:sec><jats:sec><jats:title>Measurements</jats:title><jats:p>Body mass index (<jats:styled-content style="fixed-case">BMI</jats:styled-content>), waist circumference, HbA1c, fasting plasma glucose (<jats:styled-content style="fixed-case">FPG</jats:styled-content>) and erythrocyte indices were measured. Data on current smoking and alcohol consumption were collected through questionnaires. Genome‐wide genotyping was performed, and 12 previously identified single‐nucleotide polymorphisms (<jats:styled-content style="fixed-case">SNP</jats:styled-content>s) were selected for replication and categorized as ‘glycaemic’ and ‘nonglycaemic’ <jats:styled-content style="fixed-case">SNP</jats:styled-content>s according to their presumed mechanism(s) of action on HbA1c. Genetic risk scores (<jats:styled-content style="fixed-case">GRS</jats:styled-content>s) were calculated as the sum of the weighted effect of HbA1c‐increasing alleles.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Age, gender, <jats:styled-content style="fixed-case">BMI</jats:styled-content>,<jats:styled-content style="fixed-case"> FPG</jats:styled-content>, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, current smoking and alcohol consumption were independent predictors of HbA1c, together explaining 26.2% of the variance in HbA1c, with <jats:styled-content style="fixed-case">FPG</jats:styled-content> contributing 10.9%. We replicated three of the previously identified <jats:styled-content style="fixed-case">SNP</jats:styled-content>s and the <jats:styled-content style="fixed-case">GRS</jats:styled-content>s were also found to be independently associated with HbA1c. We found a smaller effect of the ‘nonglycaemic <jats:styled-content style="fixed-case">GRS</jats:styled-content>' in females compared with males and an attenuation of the effect of the <jats:styled-content style="fixed-case">GRS</jats:styled-content> of all 12 <jats:styled-content style="fixed-case">SNP</jats:styled-content>s with increasing <jats:styled-content style="fixed-case">BMI</jats:styled-content>.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Our results suggest that a substantial portion of HbA1c is determined by nonglycaemic factors. This should be taken into account when considering the use of HbA1c as a diagnostic test for diabetes.</jats:p></jats:sec> Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study Journal of Internal Medicine |
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2013 |
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Wiley |
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Journal of Internal Medicine |
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49 |
| title |
Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_unstemmed |
Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_full |
Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_fullStr |
Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_full_unstemmed |
Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_short |
Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_sort |
determinants of hba1c in nondiabetic dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| topic |
Internal Medicine |
| url |
http://dx.doi.org/10.1111/joim.12010 |
| publishDate |
2013 |
| physical |
283-293 |
| description |
<jats:title>Abstract</jats:title><jats:sec><jats:title>Objectives</jats:title><jats:p>Glycated haemoglobin (HbA1c) is associated with cardiovascular disease risk in individuals without diabetes, and its use has been recommended for diagnosing diabetes. Therefore, it is important to gain further understanding of the determinants of HbA1c. The aim of this study was to investigate the effects of genetic loci and clinical and lifestyle parameters, and their interactions, on HbA1c in nondiabetic adults.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Population‐based cohort study.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Three northern provinces of the Netherlands.</jats:p></jats:sec><jats:sec><jats:title>Subjects</jats:title><jats:p>A total of 2921 nondiabetic adults participating in the population‐based LifeLines Cohort Study.</jats:p></jats:sec><jats:sec><jats:title>Measurements</jats:title><jats:p>Body mass index (<jats:styled-content style="fixed-case">BMI</jats:styled-content>), waist circumference, HbA1c, fasting plasma glucose (<jats:styled-content style="fixed-case">FPG</jats:styled-content>) and erythrocyte indices were measured. Data on current smoking and alcohol consumption were collected through questionnaires. Genome‐wide genotyping was performed, and 12 previously identified single‐nucleotide polymorphisms (<jats:styled-content style="fixed-case">SNP</jats:styled-content>s) were selected for replication and categorized as ‘glycaemic’ and ‘nonglycaemic’ <jats:styled-content style="fixed-case">SNP</jats:styled-content>s according to their presumed mechanism(s) of action on HbA1c. Genetic risk scores (<jats:styled-content style="fixed-case">GRS</jats:styled-content>s) were calculated as the sum of the weighted effect of HbA1c‐increasing alleles.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Age, gender, <jats:styled-content style="fixed-case">BMI</jats:styled-content>,<jats:styled-content style="fixed-case"> FPG</jats:styled-content>, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, current smoking and alcohol consumption were independent predictors of HbA1c, together explaining 26.2% of the variance in HbA1c, with <jats:styled-content style="fixed-case">FPG</jats:styled-content> contributing 10.9%. We replicated three of the previously identified <jats:styled-content style="fixed-case">SNP</jats:styled-content>s and the <jats:styled-content style="fixed-case">GRS</jats:styled-content>s were also found to be independently associated with HbA1c. We found a smaller effect of the ‘nonglycaemic <jats:styled-content style="fixed-case">GRS</jats:styled-content>' in females compared with males and an attenuation of the effect of the <jats:styled-content style="fixed-case">GRS</jats:styled-content> of all 12 <jats:styled-content style="fixed-case">SNP</jats:styled-content>s with increasing <jats:styled-content style="fixed-case">BMI</jats:styled-content>.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Our results suggest that a substantial portion of HbA1c is determined by nonglycaemic factors. This should be taken into account when considering the use of HbA1c as a diagnostic test for diabetes.</jats:p></jats:sec> |
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| description | <jats:title>Abstract</jats:title><jats:sec><jats:title>Objectives</jats:title><jats:p>Glycated haemoglobin (HbA1c) is associated with cardiovascular disease risk in individuals without diabetes, and its use has been recommended for diagnosing diabetes. Therefore, it is important to gain further understanding of the determinants of HbA1c. The aim of this study was to investigate the effects of genetic loci and clinical and lifestyle parameters, and their interactions, on HbA1c in nondiabetic adults.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Population‐based cohort study.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Three northern provinces of the Netherlands.</jats:p></jats:sec><jats:sec><jats:title>Subjects</jats:title><jats:p>A total of 2921 nondiabetic adults participating in the population‐based LifeLines Cohort Study.</jats:p></jats:sec><jats:sec><jats:title>Measurements</jats:title><jats:p>Body mass index (<jats:styled-content style="fixed-case">BMI</jats:styled-content>), waist circumference, HbA1c, fasting plasma glucose (<jats:styled-content style="fixed-case">FPG</jats:styled-content>) and erythrocyte indices were measured. Data on current smoking and alcohol consumption were collected through questionnaires. Genome‐wide genotyping was performed, and 12 previously identified single‐nucleotide polymorphisms (<jats:styled-content style="fixed-case">SNP</jats:styled-content>s) were selected for replication and categorized as ‘glycaemic’ and ‘nonglycaemic’ <jats:styled-content style="fixed-case">SNP</jats:styled-content>s according to their presumed mechanism(s) of action on HbA1c. Genetic risk scores (<jats:styled-content style="fixed-case">GRS</jats:styled-content>s) were calculated as the sum of the weighted effect of HbA1c‐increasing alleles.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Age, gender, <jats:styled-content style="fixed-case">BMI</jats:styled-content>,<jats:styled-content style="fixed-case"> FPG</jats:styled-content>, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, current smoking and alcohol consumption were independent predictors of HbA1c, together explaining 26.2% of the variance in HbA1c, with <jats:styled-content style="fixed-case">FPG</jats:styled-content> contributing 10.9%. We replicated three of the previously identified <jats:styled-content style="fixed-case">SNP</jats:styled-content>s and the <jats:styled-content style="fixed-case">GRS</jats:styled-content>s were also found to be independently associated with HbA1c. We found a smaller effect of the ‘nonglycaemic <jats:styled-content style="fixed-case">GRS</jats:styled-content>' in females compared with males and an attenuation of the effect of the <jats:styled-content style="fixed-case">GRS</jats:styled-content> of all 12 <jats:styled-content style="fixed-case">SNP</jats:styled-content>s with increasing <jats:styled-content style="fixed-case">BMI</jats:styled-content>.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Our results suggest that a substantial portion of HbA1c is determined by nonglycaemic factors. This should be taken into account when considering the use of HbA1c as a diagnostic test for diabetes.</jats:p></jats:sec> |
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| spelling | Jansen, H. Stolk, R. P. Nolte, I. M. Kema, I. P. Wolffenbuttel, B. H. R. Snieder, H. 0954-6820 1365-2796 Wiley Internal Medicine http://dx.doi.org/10.1111/joim.12010 <jats:title>Abstract</jats:title><jats:sec><jats:title>Objectives</jats:title><jats:p>Glycated haemoglobin (HbA1c) is associated with cardiovascular disease risk in individuals without diabetes, and its use has been recommended for diagnosing diabetes. Therefore, it is important to gain further understanding of the determinants of HbA1c. The aim of this study was to investigate the effects of genetic loci and clinical and lifestyle parameters, and their interactions, on HbA1c in nondiabetic adults.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Population‐based cohort study.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Three northern provinces of the Netherlands.</jats:p></jats:sec><jats:sec><jats:title>Subjects</jats:title><jats:p>A total of 2921 nondiabetic adults participating in the population‐based LifeLines Cohort Study.</jats:p></jats:sec><jats:sec><jats:title>Measurements</jats:title><jats:p>Body mass index (<jats:styled-content style="fixed-case">BMI</jats:styled-content>), waist circumference, HbA1c, fasting plasma glucose (<jats:styled-content style="fixed-case">FPG</jats:styled-content>) and erythrocyte indices were measured. Data on current smoking and alcohol consumption were collected through questionnaires. Genome‐wide genotyping was performed, and 12 previously identified single‐nucleotide polymorphisms (<jats:styled-content style="fixed-case">SNP</jats:styled-content>s) were selected for replication and categorized as ‘glycaemic’ and ‘nonglycaemic’ <jats:styled-content style="fixed-case">SNP</jats:styled-content>s according to their presumed mechanism(s) of action on HbA1c. Genetic risk scores (<jats:styled-content style="fixed-case">GRS</jats:styled-content>s) were calculated as the sum of the weighted effect of HbA1c‐increasing alleles.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Age, gender, <jats:styled-content style="fixed-case">BMI</jats:styled-content>,<jats:styled-content style="fixed-case"> FPG</jats:styled-content>, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, current smoking and alcohol consumption were independent predictors of HbA1c, together explaining 26.2% of the variance in HbA1c, with <jats:styled-content style="fixed-case">FPG</jats:styled-content> contributing 10.9%. We replicated three of the previously identified <jats:styled-content style="fixed-case">SNP</jats:styled-content>s and the <jats:styled-content style="fixed-case">GRS</jats:styled-content>s were also found to be independently associated with HbA1c. We found a smaller effect of the ‘nonglycaemic <jats:styled-content style="fixed-case">GRS</jats:styled-content>' in females compared with males and an attenuation of the effect of the <jats:styled-content style="fixed-case">GRS</jats:styled-content> of all 12 <jats:styled-content style="fixed-case">SNP</jats:styled-content>s with increasing <jats:styled-content style="fixed-case">BMI</jats:styled-content>.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Our results suggest that a substantial portion of HbA1c is determined by nonglycaemic factors. This should be taken into account when considering the use of HbA1c as a diagnostic test for diabetes.</jats:p></jats:sec> Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study Journal of Internal Medicine |
| spellingShingle | Jansen, H., Stolk, R. P., Nolte, I. M., Kema, I. P., Wolffenbuttel, B. H. R., Snieder, H., Journal of Internal Medicine, Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study, Internal Medicine |
| title | Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_full | Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_fullStr | Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_full_unstemmed | Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_short | Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_sort | determinants of hba1c in nondiabetic dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| title_unstemmed | Determinants of HbA1c in nondiabetic Dutch adults: genetic loci and clinical and lifestyle parameters, and their interactions in the lifelines cohort study |
| topic | Internal Medicine |
| url | http://dx.doi.org/10.1111/joim.12010 |