Genetic confirmation of T2DM meta-analysis variants studied in gestational diabetes mellitus in an Indian population

Meta-analysis is useful for combining the results of different studies statistically to confirm genuine associations in genetics. Based on earlier reports, we aimed to investigate the association between type 2 diabetes mellitus (T2DM) genetic variants identified in a previous meta-analysis in gesta...

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Published inDiabetes & metabolic syndrome clinical research & reviews Vol. 13; no. 1; pp. 688 - 694
Main Authors Khan, Imran Ali, Jahan, Parveen, Hasan, Qurratulain, Rao, Pragna
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Ltd 01.01.2019
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ISSN1871-4021
1878-0334
1878-0334
DOI10.1016/j.dsx.2018.11.035

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Abstract Meta-analysis is useful for combining the results of different studies statistically to confirm genuine associations in genetics. Based on earlier reports, we aimed to investigate the association between type 2 diabetes mellitus (T2DM) genetic variants identified in a previous meta-analysis in gestational diabetes mellitus (GDM) in an Indian woman. In this study, 137 pregnant women with GDM and 150 pregnant women were selected on the basis of their serum glucose levels. The six single nucleotide polymorphisms (SNPs) of different genes studied had known involvement in pancreatic β-cell function, particular pathways linked to T2DM, and other biological functions. Genomic DNA was isolated from the 287 women for polymerase chain reaction and restriction fragment length polymorphism analyses. The rs7903146, rs13266634, rs2283228, rs5210 and rs179881 SNPs were found to be positively associated with GDM when calculated for genotype and allele frequencies (p < 0.05), but rs680 (ApaI) variant did not show statistically significant association (p = 0.31). The rs7903146, rs2283228, rs5210 and rs680 variants showed a strong association with oral glucose tolerance test values. The SNPs studied in this GDM had the same role as those identified in a previous T2DM meta-analysis, and showed positive association in the Indian women. Meta-analyses should be implemented to assess the IGF2 gene in GDM subjects.
AbstractList Meta-analysis is useful for combining the results of different studies statistically to confirm genuine associations in genetics. Based on earlier reports, we aimed to investigate the association between type 2 diabetes mellitus (T2DM) genetic variants identified in a previous meta-analysis in gestational diabetes mellitus (GDM) in an Indian woman. In this study, 137 pregnant women with GDM and 150 pregnant women were selected on the basis of their serum glucose levels. The six single nucleotide polymorphisms (SNPs) of different genes studied had known involvement in pancreatic β-cell function, particular pathways linked to T2DM, and other biological functions. Genomic DNA was isolated from the 287 women for polymerase chain reaction and restriction fragment length polymorphism analyses. The rs7903146, rs13266634, rs2283228, rs5210 and rs179881 SNPs were found to be positively associated with GDM when calculated for genotype and allele frequencies (p < 0.05), but rs680 (ApaI) variant did not show statistically significant association (p = 0.31). The rs7903146, rs2283228, rs5210 and rs680 variants showed a strong association with oral glucose tolerance test values. The SNPs studied in this GDM had the same role as those identified in a previous T2DM meta-analysis, and showed positive association in the Indian women. Meta-analyses should be implemented to assess the IGF2 gene in GDM subjects.
Meta-analysis is useful for combining the results of different studies statistically to confirm genuine associations in genetics. Based on earlier reports, we aimed to investigate the association between type 2 diabetes mellitus (T2DM) genetic variants identified in a previous meta-analysis in gestational diabetes mellitus (GDM) in an Indian woman.BACKGROUNDMeta-analysis is useful for combining the results of different studies statistically to confirm genuine associations in genetics. Based on earlier reports, we aimed to investigate the association between type 2 diabetes mellitus (T2DM) genetic variants identified in a previous meta-analysis in gestational diabetes mellitus (GDM) in an Indian woman.In this study, 137 pregnant women with GDM and 150 pregnant women were selected on the basis of their serum glucose levels. The six single nucleotide polymorphisms (SNPs) of different genes studied had known involvement in pancreatic β-cell function, particular pathways linked to T2DM, and other biological functions. Genomic DNA was isolated from the 287 women for polymerase chain reaction and restriction fragment length polymorphism analyses.MATERIAL AND METHODSIn this study, 137 pregnant women with GDM and 150 pregnant women were selected on the basis of their serum glucose levels. The six single nucleotide polymorphisms (SNPs) of different genes studied had known involvement in pancreatic β-cell function, particular pathways linked to T2DM, and other biological functions. Genomic DNA was isolated from the 287 women for polymerase chain reaction and restriction fragment length polymorphism analyses.The rs7903146, rs13266634, rs2283228, rs5210 and rs179881 SNPs were found to be positively associated with GDM when calculated for genotype and allele frequencies (p < 0.05), but rs680 (ApaI) variant did not show statistically significant association (p = 0.31). The rs7903146, rs2283228, rs5210 and rs680 variants showed a strong association with oral glucose tolerance test values.RESULTSThe rs7903146, rs13266634, rs2283228, rs5210 and rs179881 SNPs were found to be positively associated with GDM when calculated for genotype and allele frequencies (p < 0.05), but rs680 (ApaI) variant did not show statistically significant association (p = 0.31). The rs7903146, rs2283228, rs5210 and rs680 variants showed a strong association with oral glucose tolerance test values.The SNPs studied in this GDM had the same role as those identified in a previous T2DM meta-analysis, and showed positive association in the Indian women. Meta-analyses should be implemented to assess the IGF2 gene in GDM subjects.CONCLUSIONThe SNPs studied in this GDM had the same role as those identified in a previous T2DM meta-analysis, and showed positive association in the Indian women. Meta-analyses should be implemented to assess the IGF2 gene in GDM subjects.
Author Rao, Pragna
Khan, Imran Ali
Jahan, Parveen
Hasan, Qurratulain
Author_xml – sequence: 1
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  givenname: Parveen
  surname: Jahan
  fullname: Jahan, Parveen
  organization: Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
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  surname: Hasan
  fullname: Hasan, Qurratulain
  organization: Department of Genetics and Molecular Medicine, Kamineni Hospitals, LB Nagar, Hyderabad, India
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  orcidid: 0000-0002-1200-889X
  surname: Rao
  fullname: Rao, Pragna
  email: drpragnarao@gmail.com
  organization: Department of Biochemistry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India
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Issue 1
Keywords Gestational diabetes mellitus
Oral glucose tolerance test
Single nucleotide polymorphisms
Pregnant women
Non- gestational diabetes mellitus
Meta-analysis
Language English
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Snippet Meta-analysis is useful for combining the results of different studies statistically to confirm genuine associations in genetics. Based on earlier reports, we...
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SubjectTerms Blood Glucose
Diabetes Mellitus, Type 2 - genetics
Diabetes, Gestational - genetics
Female
Gene Frequency
Genotype
Gestational diabetes mellitus
Humans
Insulin-Like Growth Factor II - genetics
Meta-analysis
Meta-Analysis as Topic
Non- gestational diabetes mellitus
Oral glucose tolerance test
Polymorphism, Single Nucleotide
Pregnancy
Pregnant women
Single nucleotide polymorphisms
Title Genetic confirmation of T2DM meta-analysis variants studied in gestational diabetes mellitus in an Indian population
URI https://www.clinicalkey.com/#!/content/1-s2.0-S1871402118304922
https://dx.doi.org/10.1016/j.dsx.2018.11.035
https://www.ncbi.nlm.nih.gov/pubmed/30641791
https://www.proquest.com/docview/2179359158
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