Association between the rs7903146 Polymorphism in the TCF7L2 Gene and Parameters Derived with Continuous Glucose Monitoring in Individuals without Diabetes

The rs7903146-T allele in the transcription factor 7-like 2 (TCF7L2) gene has been associated with impaired pancreatic insulin secretion, enhanced liver glucose production, and an increased risk of type 2 diabetes. Nevertheless, the impact of rs7903146 on daily glucose trajectories remains unclear....

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Veröffentlicht in:PloS one 2016-02, Vol.11 (2), p.e0149992-e0149992
Hauptverfasser: van der Kroef, Sabrina, Noordam, Raymond, Deelen, Joris, Akintola, Abimbola A, Jansen, Steffy W M, Postmus, Iris, Wijsman, Carolien A, Beekman, Marian, Mooijaart, Simon P, Slagboom, P Eline, van Heemst, Diana
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container_issue 2
container_start_page e0149992
container_title PloS one
container_volume 11
creator van der Kroef, Sabrina
Noordam, Raymond
Deelen, Joris
Akintola, Abimbola A
Jansen, Steffy W M
Postmus, Iris
Wijsman, Carolien A
Beekman, Marian
Mooijaart, Simon P
Slagboom, P Eline
van Heemst, Diana
description The rs7903146-T allele in the transcription factor 7-like 2 (TCF7L2) gene has been associated with impaired pancreatic insulin secretion, enhanced liver glucose production, and an increased risk of type 2 diabetes. Nevertheless, the impact of rs7903146 on daily glucose trajectories remains unclear. Continuous glucose monitoring (CGM) can estimate glycemia and glycemic variability based on consecutive glucose measurements collected over several days. The purpose of the present study was to investigate the associations of rs7903146 with glycemia and glycemic variability in middle-aged participants without diabetes. Complete data from 235 participants without diabetes from the Leiden Longevity Study were available. Participants were divided into two groups based on rs7903146 genotype; rs7903146-CC genotype carriers (N = 123) and rs7903146-CT/TT genotype carriers (N = 112). Validated parameters of glycemia (e.g., mean 24h glucose level) and glycemic variability (e.g., 24h standard deviation) were derived from data collected with a CGM system for a 72-hour period. The study population was on average 64.7 years old (standard deviation = 5.9) and composed of 49.8% of women. Compared with rs7903146-CC carriers, rs7903146-CT/TT carriers exhibited a trend towards a higher mean 24-hour glucose level (5.21 versus 5.32 mmol/L; p-value = 0.15) and a significantly higher mean nocturnal glucose (3:00am- 6:00am; 4.48 versus 4.67 mmol/L; p-value = 0.03) that was explained for 34.6% by body weight and percentage body fat. No differences in measures of glycemic variability between the genotype groups were observed. Despite limited sample size, our study indicates that the rs7903146-T allele in TCF7L2 was associated with a higher mean nocturnal glucose dependent on body composition, which might suggest that rs7902146 affects liver-specific aspects of glucose metabolism.
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Nevertheless, the impact of rs7903146 on daily glucose trajectories remains unclear. Continuous glucose monitoring (CGM) can estimate glycemia and glycemic variability based on consecutive glucose measurements collected over several days. The purpose of the present study was to investigate the associations of rs7903146 with glycemia and glycemic variability in middle-aged participants without diabetes. Complete data from 235 participants without diabetes from the Leiden Longevity Study were available. Participants were divided into two groups based on rs7903146 genotype; rs7903146-CC genotype carriers (N = 123) and rs7903146-CT/TT genotype carriers (N = 112). Validated parameters of glycemia (e.g., mean 24h glucose level) and glycemic variability (e.g., 24h standard deviation) were derived from data collected with a CGM system for a 72-hour period. The study population was on average 64.7 years old (standard deviation = 5.9) and composed of 49.8% of women. Compared with rs7903146-CC carriers, rs7903146-CT/TT carriers exhibited a trend towards a higher mean 24-hour glucose level (5.21 versus 5.32 mmol/L; p-value = 0.15) and a significantly higher mean nocturnal glucose (3:00am- 6:00am; 4.48 versus 4.67 mmol/L; p-value = 0.03) that was explained for 34.6% by body weight and percentage body fat. No differences in measures of glycemic variability between the genotype groups were observed. Despite limited sample size, our study indicates that the rs7903146-T allele in TCF7L2 was associated with a higher mean nocturnal glucose dependent on body composition, which might suggest that rs7902146 affects liver-specific aspects of glucose metabolism.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0149992</identifier><identifier>PMID: 26914832</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Alleles ; Base Sequence ; Bioinformatics ; Biology and Life Sciences ; Blood glucose ; Blood Glucose - genetics ; Blood Glucose Self-Monitoring ; Blood glucose test ; Body composition ; Body Composition - genetics ; Body fat ; Body mass index ; Body weight ; Carriers ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - metabolism ; Diagnosis ; Epidemiology ; Fasting ; Female ; Gene Frequency - genetics ; Gene polymorphism ; Genetic aspects ; Genetic polymorphisms ; Genomes ; Geriatrics ; Gerontology ; Glucose ; Glucose - metabolism ; Glucose monitoring ; Health risks ; Humans ; Insulin ; Insulin resistance ; Insulin secretion ; Liver ; Liver - metabolism ; Longevity ; Male ; Medical statistics ; Medicine and Health Sciences ; Metabolism ; Methods ; Middle Aged ; Monitoring ; Pancreas ; Physical Sciences ; Physiological aspects ; Polymorphism ; Polymorphism, Single Nucleotide - genetics ; Population studies ; Secretion ; Sensors ; Sequence Analysis, DNA ; Standard deviation ; Trajectory analysis ; Transcription Factor 7-Like 2 Protein - genetics ; Transcription factors ; Type 2 diabetes ; Variability</subject><ispartof>PloS one, 2016-02, Vol.11 (2), p.e0149992-e0149992</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 van der Kroef et al. 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Nevertheless, the impact of rs7903146 on daily glucose trajectories remains unclear. Continuous glucose monitoring (CGM) can estimate glycemia and glycemic variability based on consecutive glucose measurements collected over several days. The purpose of the present study was to investigate the associations of rs7903146 with glycemia and glycemic variability in middle-aged participants without diabetes. Complete data from 235 participants without diabetes from the Leiden Longevity Study were available. Participants were divided into two groups based on rs7903146 genotype; rs7903146-CC genotype carriers (N = 123) and rs7903146-CT/TT genotype carriers (N = 112). Validated parameters of glycemia (e.g., mean 24h glucose level) and glycemic variability (e.g., 24h standard deviation) were derived from data collected with a CGM system for a 72-hour period. The study population was on average 64.7 years old (standard deviation = 5.9) and composed of 49.8% of women. Compared with rs7903146-CC carriers, rs7903146-CT/TT carriers exhibited a trend towards a higher mean 24-hour glucose level (5.21 versus 5.32 mmol/L; p-value = 0.15) and a significantly higher mean nocturnal glucose (3:00am- 6:00am; 4.48 versus 4.67 mmol/L; p-value = 0.03) that was explained for 34.6% by body weight and percentage body fat. No differences in measures of glycemic variability between the genotype groups were observed. 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genetics</topic><topic>Population studies</topic><topic>Secretion</topic><topic>Sensors</topic><topic>Sequence Analysis, DNA</topic><topic>Standard deviation</topic><topic>Trajectory analysis</topic><topic>Transcription Factor 7-Like 2 Protein - genetics</topic><topic>Transcription factors</topic><topic>Type 2 diabetes</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van der Kroef, Sabrina</creatorcontrib><creatorcontrib>Noordam, Raymond</creatorcontrib><creatorcontrib>Deelen, Joris</creatorcontrib><creatorcontrib>Akintola, Abimbola A</creatorcontrib><creatorcontrib>Jansen, Steffy W M</creatorcontrib><creatorcontrib>Postmus, Iris</creatorcontrib><creatorcontrib>Wijsman, Carolien A</creatorcontrib><creatorcontrib>Beekman, Marian</creatorcontrib><creatorcontrib>Mooijaart, Simon P</creatorcontrib><creatorcontrib>Slagboom, P Eline</creatorcontrib><creatorcontrib>van Heemst, Diana</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>van der Kroef, Sabrina</au><au>Noordam, Raymond</au><au>Deelen, Joris</au><au>Akintola, Abimbola A</au><au>Jansen, Steffy W M</au><au>Postmus, Iris</au><au>Wijsman, Carolien A</au><au>Beekman, Marian</au><au>Mooijaart, Simon P</au><au>Slagboom, P Eline</au><au>van Heemst, Diana</au><au>Sanchez-Margalet, Victor</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between the rs7903146 Polymorphism in the TCF7L2 Gene and Parameters Derived with Continuous Glucose Monitoring in Individuals without Diabetes</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-02-25</date><risdate>2016</risdate><volume>11</volume><issue>2</issue><spage>e0149992</spage><epage>e0149992</epage><pages>e0149992-e0149992</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The rs7903146-T allele in the transcription factor 7-like 2 (TCF7L2) gene has been associated with impaired pancreatic insulin secretion, enhanced liver glucose production, and an increased risk of type 2 diabetes. Nevertheless, the impact of rs7903146 on daily glucose trajectories remains unclear. Continuous glucose monitoring (CGM) can estimate glycemia and glycemic variability based on consecutive glucose measurements collected over several days. The purpose of the present study was to investigate the associations of rs7903146 with glycemia and glycemic variability in middle-aged participants without diabetes. Complete data from 235 participants without diabetes from the Leiden Longevity Study were available. Participants were divided into two groups based on rs7903146 genotype; rs7903146-CC genotype carriers (N = 123) and rs7903146-CT/TT genotype carriers (N = 112). Validated parameters of glycemia (e.g., mean 24h glucose level) and glycemic variability (e.g., 24h standard deviation) were derived from data collected with a CGM system for a 72-hour period. The study population was on average 64.7 years old (standard deviation = 5.9) and composed of 49.8% of women. Compared with rs7903146-CC carriers, rs7903146-CT/TT carriers exhibited a trend towards a higher mean 24-hour glucose level (5.21 versus 5.32 mmol/L; p-value = 0.15) and a significantly higher mean nocturnal glucose (3:00am- 6:00am; 4.48 versus 4.67 mmol/L; p-value = 0.03) that was explained for 34.6% by body weight and percentage body fat. No differences in measures of glycemic variability between the genotype groups were observed. Despite limited sample size, our study indicates that the rs7903146-T allele in TCF7L2 was associated with a higher mean nocturnal glucose dependent on body composition, which might suggest that rs7902146 affects liver-specific aspects of glucose metabolism.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26914832</pmid><doi>10.1371/journal.pone.0149992</doi><oa>free_for_read</oa></addata></record>
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subjects Alleles
Base Sequence
Bioinformatics
Biology and Life Sciences
Blood glucose
Blood Glucose - genetics
Blood Glucose Self-Monitoring
Blood glucose test
Body composition
Body Composition - genetics
Body fat
Body mass index
Body weight
Carriers
Diabetes
Diabetes mellitus
Diabetes Mellitus, Type 2 - blood
Diabetes Mellitus, Type 2 - metabolism
Diagnosis
Epidemiology
Fasting
Female
Gene Frequency - genetics
Gene polymorphism
Genetic aspects
Genetic polymorphisms
Genomes
Geriatrics
Gerontology
Glucose
Glucose - metabolism
Glucose monitoring
Health risks
Humans
Insulin
Insulin resistance
Insulin secretion
Liver
Liver - metabolism
Longevity
Male
Medical statistics
Medicine and Health Sciences
Metabolism
Methods
Middle Aged
Monitoring
Pancreas
Physical Sciences
Physiological aspects
Polymorphism
Polymorphism, Single Nucleotide - genetics
Population studies
Secretion
Sensors
Sequence Analysis, DNA
Standard deviation
Trajectory analysis
Transcription Factor 7-Like 2 Protein - genetics
Transcription factors
Type 2 diabetes
Variability
title Association between the rs7903146 Polymorphism in the TCF7L2 Gene and Parameters Derived with Continuous Glucose Monitoring in Individuals without Diabetes
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