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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| Veröffentlicht in: | Diabetes & metabolic syndrome clinical research & reviews 2019-01, Vol.13 (1), p.688-694 |
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| creator | Khan, Imran Ali Jahan, Parveen Hasan, Qurratulain Rao, Pragna |
| description | 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 |
| doi_str_mv | 10.1016/j.dsx.2018.11.035 |
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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.</description><identifier>ISSN: 1871-4021</identifier><identifier>EISSN: 1878-0334</identifier><identifier>DOI: 10.1016/j.dsx.2018.11.035</identifier><identifier>PMID: 30641791</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>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</subject><ispartof>Diabetes & metabolic syndrome clinical research & reviews, 2019-01, Vol.13 (1), p.688-694</ispartof><rights>2018</rights><rights>Copyright © 2018. Published by Elsevier Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-aaf8171e5ccdd607ef2cf0a28b972c074179611c2397fe9c291c373440c40093</citedby><cites>FETCH-LOGICAL-c353t-aaf8171e5ccdd607ef2cf0a28b972c074179611c2397fe9c291c373440c40093</cites><orcidid>0000-0002-1200-889X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1871402118304922$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30641791$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Khan, Imran Ali</creatorcontrib><creatorcontrib>Jahan, Parveen</creatorcontrib><creatorcontrib>Hasan, Qurratulain</creatorcontrib><creatorcontrib>Rao, Pragna</creatorcontrib><title>Genetic confirmation of T2DM meta-analysis variants studied in gestational diabetes mellitus in an Indian population</title><title>Diabetes & metabolic syndrome clinical research & reviews</title><addtitle>Diabetes Metab Syndr</addtitle><description>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.</description><subject>Blood Glucose</subject><subject>Diabetes Mellitus, Type 2 - genetics</subject><subject>Diabetes, Gestational - genetics</subject><subject>Female</subject><subject>Gene Frequency</subject><subject>Genotype</subject><subject>Gestational diabetes mellitus</subject><subject>Humans</subject><subject>Insulin-Like Growth Factor II - genetics</subject><subject>Meta-analysis</subject><subject>Meta-Analysis as Topic</subject><subject>Non- gestational diabetes mellitus</subject><subject>Oral glucose tolerance test</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Pregnancy</subject><subject>Pregnant women</subject><subject>Single nucleotide polymorphisms</subject><issn>1871-4021</issn><issn>1878-0334</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1PxCAQhonR-P0DvBiOXloZaLclnozficbL3gkLU8OmpStQo_9edlc9emISnvfNzEPIGbASGMwul6WNnyVn0JYAJRP1DjmEtmkLJkS1u5mhqBiHA3IU45KxupZc7pMDwWYVNBIOSXpAj8kZakbfuTDo5EZPx47O-e0LHTDpQnvdf0UX6YcOTvsUaUyTdWip8_QNY9pkdE-t0wtMGHOs712a4hrQnj75_OPpalxN_YY9IXud7iOe_rzHZH5_N795LJ5fH55urp8LI2qRCq27FhrA2hhrZ6zBjpuOad4uZMMNa9YnzAAMF7LpUBouwYhGVBUzFWNSHJOLbe0qjO9TXlQNLpq8m_Y4TlHxnBe1hLrNKGxRE8YYA3ZqFdygw5cCptau1VJl12rtWgGo7Dpnzn_qp8WA9i_xKzcDV1sA840fDoOKxqE3aF1Ak5Qd3T_13813kHI</recordid><startdate>201901</startdate><enddate>201901</enddate><creator>Khan, Imran Ali</creator><creator>Jahan, Parveen</creator><creator>Hasan, Qurratulain</creator><creator>Rao, Pragna</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1200-889X</orcidid></search><sort><creationdate>201901</creationdate><title>Genetic confirmation of T2DM meta-analysis variants studied in gestational diabetes mellitus in an Indian population</title><author>Khan, Imran Ali ; Jahan, Parveen ; Hasan, Qurratulain ; Rao, Pragna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-aaf8171e5ccdd607ef2cf0a28b972c074179611c2397fe9c291c373440c40093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Blood Glucose</topic><topic>Diabetes Mellitus, Type 2 - genetics</topic><topic>Diabetes, Gestational - genetics</topic><topic>Female</topic><topic>Gene Frequency</topic><topic>Genotype</topic><topic>Gestational diabetes mellitus</topic><topic>Humans</topic><topic>Insulin-Like Growth Factor II - genetics</topic><topic>Meta-analysis</topic><topic>Meta-Analysis as Topic</topic><topic>Non- gestational diabetes mellitus</topic><topic>Oral glucose tolerance test</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Pregnancy</topic><topic>Pregnant women</topic><topic>Single nucleotide polymorphisms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khan, Imran Ali</creatorcontrib><creatorcontrib>Jahan, Parveen</creatorcontrib><creatorcontrib>Hasan, Qurratulain</creatorcontrib><creatorcontrib>Rao, Pragna</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes & metabolic syndrome clinical research & reviews</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khan, Imran Ali</au><au>Jahan, Parveen</au><au>Hasan, Qurratulain</au><au>Rao, Pragna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic confirmation of T2DM meta-analysis variants studied in gestational diabetes mellitus in an Indian population</atitle><jtitle>Diabetes & metabolic syndrome clinical research & reviews</jtitle><addtitle>Diabetes Metab Syndr</addtitle><date>2019-01</date><risdate>2019</risdate><volume>13</volume><issue>1</issue><spage>688</spage><epage>694</epage><pages>688-694</pages><issn>1871-4021</issn><eissn>1878-0334</eissn><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.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>30641791</pmid><doi>10.1016/j.dsx.2018.11.035</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-1200-889X</orcidid></addata></record> |
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| source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
| subjects | 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 |
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