Role of GNB3, NET, KCNJ11, TCF7L2 and GRL genes single nucleotide polymorphism in the risk prediction of type 2 diabetes mellitus
Type 2 diabetes (T2DM) is a polygenic metabolic disorder characterized by hyperglycemia occurring as a result of impaired insulin secretion or insulin resistance. Various environmental and genetic factors interact and increase the risk of T2DM and its complications. Among the various genetic factors...
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description | Type 2 diabetes (T2DM) is a polygenic metabolic disorder characterized by hyperglycemia occurring as a result of impaired insulin secretion or insulin resistance. Various environmental and genetic factors interact and increase the risk of T2DM and its complications. Among the various genetic factors associated with T2DM, single nucleotide polymorphism in different candidate genes have been studied intensively and the resulting genetic variants have been found to have either positive or negative association with T2DM thereby increasing or decreasing the risk of T2DM, respectively. In this review, we will focus on
Guanine nucleotide
-
binding protein subunit beta 3 (GNB3), Norepinephrine Transporter (NET), Potassium Channel gene (KCNJ11), Transcription Factor 7
-
Like 2 (TCF7L2) and Glucocorticoid receptor (GRL)
genes and their association with T2DM studied in different ethnic groups. The products of these genes are involved in the biochemical pathway leading to T2DM. Polymorphisms in these genes have been intensively studied in individuals of different ethnic origins. Results show that genetic variants of
TCF7L2
and
KCNJ11
genes have potential to emerge as a risk biomarker for T2DM whereas results of
GNB3
,
GRL
and
NET
genes have been controversial when studied in individuals of different ethnicities. We have tried to summarize the results generated globally in context to the selected genes which could possibly help researchers working in this field and would eventually help in understanding the mechanistic pathways of T2DM leading early diagnosis and prevention. |
doi_str_mv | 10.1007/s13205-016-0572-x |
format | Article |
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Guanine nucleotide
-
binding protein subunit beta 3 (GNB3), Norepinephrine Transporter (NET), Potassium Channel gene (KCNJ11), Transcription Factor 7
-
Like 2 (TCF7L2) and Glucocorticoid receptor (GRL)
genes and their association with T2DM studied in different ethnic groups. The products of these genes are involved in the biochemical pathway leading to T2DM. Polymorphisms in these genes have been intensively studied in individuals of different ethnic origins. Results show that genetic variants of
TCF7L2
and
KCNJ11
genes have potential to emerge as a risk biomarker for T2DM whereas results of
GNB3
,
GRL
and
NET
genes have been controversial when studied in individuals of different ethnicities. We have tried to summarize the results generated globally in context to the selected genes which could possibly help researchers working in this field and would eventually help in understanding the mechanistic pathways of T2DM leading early diagnosis and prevention.</description><identifier>ISSN: 2190-572X</identifier><identifier>EISSN: 2190-5738</identifier><identifier>DOI: 10.1007/s13205-016-0572-x</identifier><identifier>PMID: 28330327</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agriculture ; Bioinformatics ; Biomaterials ; Biotechnology ; Cancer Research ; Chemistry ; Chemistry and Materials Science ; Review ; Review Article ; Stem Cells</subject><ispartof>3 Biotech, 2016-12, Vol.6 (2), p.255-9, Article 255</ispartof><rights>The Author(s) 2016</rights><rights>3 Biotech is a copyright of Springer, 2016.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-9c7c784c4a786052f920b80c5ec45e8bcaccc417e6f146df9cf5f6faa63e48bb3</citedby><cites>FETCH-LOGICAL-c503t-9c7c784c4a786052f920b80c5ec45e8bcaccc417e6f146df9cf5f6faa63e48bb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135703/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135703/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,315,728,781,785,793,886,27923,27925,27926,41489,42558,51320,53792,53794</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28330327$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rizvi, Saliha</creatorcontrib><creatorcontrib>Raza, Syed Tasleem</creatorcontrib><creatorcontrib>Rahman, Qamar</creatorcontrib><creatorcontrib>Mahdi, Farzana</creatorcontrib><title>Role of GNB3, NET, KCNJ11, TCF7L2 and GRL genes single nucleotide polymorphism in the risk prediction of type 2 diabetes mellitus</title><title>3 Biotech</title><addtitle>3 Biotech</addtitle><addtitle>3 Biotech</addtitle><description>Type 2 diabetes (T2DM) is a polygenic metabolic disorder characterized by hyperglycemia occurring as a result of impaired insulin secretion or insulin resistance. Various environmental and genetic factors interact and increase the risk of T2DM and its complications. Among the various genetic factors associated with T2DM, single nucleotide polymorphism in different candidate genes have been studied intensively and the resulting genetic variants have been found to have either positive or negative association with T2DM thereby increasing or decreasing the risk of T2DM, respectively. In this review, we will focus on
Guanine nucleotide
-
binding protein subunit beta 3 (GNB3), Norepinephrine Transporter (NET), Potassium Channel gene (KCNJ11), Transcription Factor 7
-
Like 2 (TCF7L2) and Glucocorticoid receptor (GRL)
genes and their association with T2DM studied in different ethnic groups. The products of these genes are involved in the biochemical pathway leading to T2DM. Polymorphisms in these genes have been intensively studied in individuals of different ethnic origins. Results show that genetic variants of
TCF7L2
and
KCNJ11
genes have potential to emerge as a risk biomarker for T2DM whereas results of
GNB3
,
GRL
and
NET
genes have been controversial when studied in individuals of different ethnicities. We have tried to summarize the results generated globally in context to the selected genes which could possibly help researchers working in this field and would eventually help in understanding the mechanistic pathways of T2DM leading early diagnosis and prevention.</description><subject>Agriculture</subject><subject>Bioinformatics</subject><subject>Biomaterials</subject><subject>Biotechnology</subject><subject>Cancer Research</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Review</subject><subject>Review Article</subject><subject>Stem Cells</subject><issn>2190-572X</issn><issn>2190-5738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkk1v1DAQhiMEolXpD-CCLHHhsCn-iO3kggSrdgusFqlaJG6W40x2XRI7tRPUPfLP8WrLqiAh4YstzTPvzHjeLHtJ8AXBWL6NhFHMc0xEjrmk-f2T7JSSCudcsvLp8U2_nWTnMd7idDjhFcHPsxNaMoYZlafZzxvfAfItWqw-sBlaXa5n6PN89YmQGVrPr-SSIu0atLhZog04iChat0kZbjId-NE2gAbf7Xofhq2NPbIOjVtAwcbvaAjQWDNa7_YFxt0AiKLG6hrGJNRD19lxii-yZ63uIpw_3GfZ16vL9fw6X35ZfJy_X-aGYzbmlZFGloUptCwF5rStKK5LbDiYgkNZG22MKYgE0ZJCNG1lWt6KVmvBoCjrmp1l7w66w1T30BhwY9CdGoLtddgpr636M-LsVm38D8UJ4xKzJPDmQSD4uwniqHobTZpCO_BTVKQscSEkFdV_oCJtgGK5R1__hd76Kbj0E3uKU5Gmp4kiB8oEH2OA9tg3wWpvB3Wwg0p2UHs7qPuU8-rxwMeM38tPAD0AMYXcBsKj0v9U_QWHn783</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Rizvi, Saliha</creator><creator>Raza, Syed Tasleem</creator><creator>Rahman, Qamar</creator><creator>Mahdi, Farzana</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>LK8</scope><scope>M7P</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20161201</creationdate><title>Role of GNB3, NET, KCNJ11, TCF7L2 and GRL genes single nucleotide polymorphism in the risk prediction of type 2 diabetes mellitus</title><author>Rizvi, Saliha ; Raza, Syed Tasleem ; Rahman, Qamar ; Mahdi, Farzana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-9c7c784c4a786052f920b80c5ec45e8bcaccc417e6f146df9cf5f6faa63e48bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Agriculture</topic><topic>Bioinformatics</topic><topic>Biomaterials</topic><topic>Biotechnology</topic><topic>Cancer Research</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Review</topic><topic>Review Article</topic><topic>Stem Cells</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rizvi, Saliha</creatorcontrib><creatorcontrib>Raza, Syed Tasleem</creatorcontrib><creatorcontrib>Rahman, Qamar</creatorcontrib><creatorcontrib>Mahdi, Farzana</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</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>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>3 Biotech</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rizvi, Saliha</au><au>Raza, Syed Tasleem</au><au>Rahman, Qamar</au><au>Mahdi, Farzana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Role of GNB3, NET, KCNJ11, TCF7L2 and GRL genes single nucleotide polymorphism in the risk prediction of type 2 diabetes mellitus</atitle><jtitle>3 Biotech</jtitle><stitle>3 Biotech</stitle><addtitle>3 Biotech</addtitle><date>2016-12-01</date><risdate>2016</risdate><volume>6</volume><issue>2</issue><spage>255</spage><epage>9</epage><pages>255-9</pages><artnum>255</artnum><issn>2190-572X</issn><eissn>2190-5738</eissn><abstract>Type 2 diabetes (T2DM) is a polygenic metabolic disorder characterized by hyperglycemia occurring as a result of impaired insulin secretion or insulin resistance. Various environmental and genetic factors interact and increase the risk of T2DM and its complications. Among the various genetic factors associated with T2DM, single nucleotide polymorphism in different candidate genes have been studied intensively and the resulting genetic variants have been found to have either positive or negative association with T2DM thereby increasing or decreasing the risk of T2DM, respectively. In this review, we will focus on
Guanine nucleotide
-
binding protein subunit beta 3 (GNB3), Norepinephrine Transporter (NET), Potassium Channel gene (KCNJ11), Transcription Factor 7
-
Like 2 (TCF7L2) and Glucocorticoid receptor (GRL)
genes and their association with T2DM studied in different ethnic groups. The products of these genes are involved in the biochemical pathway leading to T2DM. Polymorphisms in these genes have been intensively studied in individuals of different ethnic origins. Results show that genetic variants of
TCF7L2
and
KCNJ11
genes have potential to emerge as a risk biomarker for T2DM whereas results of
GNB3
,
GRL
and
NET
genes have been controversial when studied in individuals of different ethnicities. We have tried to summarize the results generated globally in context to the selected genes which could possibly help researchers working in this field and would eventually help in understanding the mechanistic pathways of T2DM leading early diagnosis and prevention.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28330327</pmid><doi>10.1007/s13205-016-0572-x</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agriculture Bioinformatics Biomaterials Biotechnology Cancer Research Chemistry Chemistry and Materials Science Review Review Article Stem Cells |
title | Role of GNB3, NET, KCNJ11, TCF7L2 and GRL genes single nucleotide polymorphism in the risk prediction of type 2 diabetes mellitus |
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