Genomic variants associated with type 2 diabetes mellitus among Filipinos
Type 2 diabetes mellitus leads to debilitating complications that affect the quality of life of many Filipinos. Genetic variability contributes to 30% to 70% of T2DM risk. Determining genomic variants related to type 2 diabetes mellitus susceptibility can lead to early detection to prevent complicat...
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| description | Type 2 diabetes mellitus leads to debilitating complications that affect the quality of life of many Filipinos. Genetic variability contributes to 30% to 70% of T2DM risk. Determining genomic variants related to type 2 diabetes mellitus susceptibility can lead to early detection to prevent complications. However, interethnic variability in risk and genetic susceptibility exists. This study aimed to identify variants associated with type 2 diabetes mellitus among Filipinos using a case-control design frequency matched for age and sex. A comparison was made between 66 unrelated Filipino adults with type 2 diabetes mellitus and 121 without. Genotyping was done using a candidate gene approach on genetic variants of type 2 diabetes mellitus and its complications involving allelic association and genotypic association studies with correction for multiple testing. Nine (9) significant variants, mostly involved in glucose and energy metabolism, associated with type 2 diabetes mellitus in Filipinos were found. Notably, a CDKAL1 variant (rs7766070) confers the highest level of risk while rs7119 (HMG20A) and rs708272 (CETP) have high risk allele frequencies in this population at 0.77 and 0.66, respectively, making them potentially good markers for type 2 diabetes mellitus screening. The data generated can be valuable in developing genetic risk prediction models for type 2 diabetes mellitus to diagnose and prevent the condition among Filipinos. |
| doi_str_mv | 10.1371/journal.pone.0312291 |
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Genetic variability contributes to 30% to 70% of T2DM risk. Determining genomic variants related to type 2 diabetes mellitus susceptibility can lead to early detection to prevent complications. However, interethnic variability in risk and genetic susceptibility exists. This study aimed to identify variants associated with type 2 diabetes mellitus among Filipinos using a case-control design frequency matched for age and sex. A comparison was made between 66 unrelated Filipino adults with type 2 diabetes mellitus and 121 without. Genotyping was done using a candidate gene approach on genetic variants of type 2 diabetes mellitus and its complications involving allelic association and genotypic association studies with correction for multiple testing. Nine (9) significant variants, mostly involved in glucose and energy metabolism, associated with type 2 diabetes mellitus in Filipinos were found. Notably, a CDKAL1 variant (rs7766070) confers the highest level of risk while rs7119 (HMG20A) and rs708272 (CETP) have high risk allele frequencies in this population at 0.77 and 0.66, respectively, making them potentially good markers for type 2 diabetes mellitus screening. The data generated can be valuable in developing genetic risk prediction models for type 2 diabetes mellitus to diagnose and prevent the condition among Filipinos.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0312291</identifier><identifier>PMID: 39561140</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Biology and Life Sciences ; Case-Control Studies ; Complications and side effects ; Creatinine ; Development and progression ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - genetics ; Diabetes therapy ; Diagnosis ; Disease susceptibility ; Energy metabolism ; Ethylenediaminetetraacetic acid ; Evaluation ; Female ; Gene Frequency ; Genes ; Genetic aspects ; Genetic diversity ; Genetic Predisposition to Disease ; Genetic variability ; Genetic variance ; Genomes ; Genomics ; Genotype ; Genotyping ; Glucose metabolism ; Health risk assessment ; Humans ; Hyperglycemia ; Male ; Medical screening ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Philippines ; Polymorphism, Single Nucleotide ; Population ; Population genetics ; Prediction models ; Quality control ; Quality of life ; Regression analysis ; Risk factors ; Risk levels ; Type 2 diabetes</subject><ispartof>PloS one, 2024-11, Vol.19 (11), p.e0312291</ispartof><rights>Copyright: © 2024 C. Cutiongco-de la Paz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 C. Cutiongco-de la Paz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 C. Cutiongco-de la Paz et al 2024 C. Cutiongco-de la Paz et al</rights><rights>2024 C. Cutiongco-de la Paz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c572t-b96a30b342f7f7a7ab61d9ce414310300ba94db1c60ff1215fba52bab2c2ee913</cites><orcidid>0000-0002-8131-4639</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11575783/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11575783/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39561140$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>C Cutiongco-de la Paz, Eva Maria</creatorcontrib><creatorcontrib>Nevado, Jr, Jose B</creatorcontrib><creatorcontrib>Paz-Pacheco, Elizabeth T</creatorcontrib><creatorcontrib>Jasul, Jr, Gabriel V</creatorcontrib><creatorcontrib>Aman, Aimee Yvonne Criselle L</creatorcontrib><creatorcontrib>Francisco, Mark David G</creatorcontrib><title>Genomic variants associated with type 2 diabetes mellitus among Filipinos</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Type 2 diabetes mellitus leads to debilitating complications that affect the quality of life of many Filipinos. Genetic variability contributes to 30% to 70% of T2DM risk. Determining genomic variants related to type 2 diabetes mellitus susceptibility can lead to early detection to prevent complications. However, interethnic variability in risk and genetic susceptibility exists. This study aimed to identify variants associated with type 2 diabetes mellitus among Filipinos using a case-control design frequency matched for age and sex. A comparison was made between 66 unrelated Filipino adults with type 2 diabetes mellitus and 121 without. Genotyping was done using a candidate gene approach on genetic variants of type 2 diabetes mellitus and its complications involving allelic association and genotypic association studies with correction for multiple testing. Nine (9) significant variants, mostly involved in glucose and energy metabolism, associated with type 2 diabetes mellitus in Filipinos were found. Notably, a CDKAL1 variant (rs7766070) confers the highest level of risk while rs7119 (HMG20A) and rs708272 (CETP) have high risk allele frequencies in this population at 0.77 and 0.66, respectively, making them potentially good markers for type 2 diabetes mellitus screening. The data generated can be valuable in developing genetic risk prediction models for type 2 diabetes mellitus to diagnose and prevent the condition among Filipinos.</description><subject>Adult</subject><subject>Aged</subject><subject>Biology and Life Sciences</subject><subject>Case-Control Studies</subject><subject>Complications and side effects</subject><subject>Creatinine</subject><subject>Development and progression</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - genetics</subject><subject>Diabetes therapy</subject><subject>Diagnosis</subject><subject>Disease susceptibility</subject><subject>Energy metabolism</subject><subject>Ethylenediaminetetraacetic acid</subject><subject>Evaluation</subject><subject>Female</subject><subject>Gene Frequency</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic diversity</subject><subject>Genetic 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variants associated with type 2 diabetes mellitus among Filipinos</title><author>C Cutiongco-de la Paz, Eva Maria ; Nevado, Jr, Jose B ; Paz-Pacheco, Elizabeth T ; Jasul, Jr, Gabriel V ; Aman, Aimee Yvonne Criselle L ; Francisco, Mark David G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c572t-b96a30b342f7f7a7ab61d9ce414310300ba94db1c60ff1215fba52bab2c2ee913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biology and Life Sciences</topic><topic>Case-Control Studies</topic><topic>Complications and side effects</topic><topic>Creatinine</topic><topic>Development and progression</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - genetics</topic><topic>Diabetes therapy</topic><topic>Diagnosis</topic><topic>Disease 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Genetic variability contributes to 30% to 70% of T2DM risk. Determining genomic variants related to type 2 diabetes mellitus susceptibility can lead to early detection to prevent complications. However, interethnic variability in risk and genetic susceptibility exists. This study aimed to identify variants associated with type 2 diabetes mellitus among Filipinos using a case-control design frequency matched for age and sex. A comparison was made between 66 unrelated Filipino adults with type 2 diabetes mellitus and 121 without. Genotyping was done using a candidate gene approach on genetic variants of type 2 diabetes mellitus and its complications involving allelic association and genotypic association studies with correction for multiple testing. Nine (9) significant variants, mostly involved in glucose and energy metabolism, associated with type 2 diabetes mellitus in Filipinos were found. Notably, a CDKAL1 variant (rs7766070) confers the highest level of risk while rs7119 (HMG20A) and rs708272 (CETP) have high risk allele frequencies in this population at 0.77 and 0.66, respectively, making them potentially good markers for type 2 diabetes mellitus screening. The data generated can be valuable in developing genetic risk prediction models for type 2 diabetes mellitus to diagnose and prevent the condition among Filipinos.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39561140</pmid><doi>10.1371/journal.pone.0312291</doi><tpages>e0312291</tpages><orcidid>https://orcid.org/0000-0002-8131-4639</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2024-11, Vol.19 (11), p.e0312291 |
| issn | 1932-6203 1932-6203 |
| language | eng |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Adult Aged Biology and Life Sciences Case-Control Studies Complications and side effects Creatinine Development and progression Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - genetics Diabetes therapy Diagnosis Disease susceptibility Energy metabolism Ethylenediaminetetraacetic acid Evaluation Female Gene Frequency Genes Genetic aspects Genetic diversity Genetic Predisposition to Disease Genetic variability Genetic variance Genomes Genomics Genotype Genotyping Glucose metabolism Health risk assessment Humans Hyperglycemia Male Medical screening Medicine and Health Sciences Middle Aged Mortality Philippines Polymorphism, Single Nucleotide Population Population genetics Prediction models Quality control Quality of life Regression analysis Risk factors Risk levels Type 2 diabetes |
| title | Genomic variants associated with type 2 diabetes mellitus among Filipinos |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T21%3A26%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Genomic%20variants%20associated%20with%20type%202%20diabetes%20mellitus%20among%20Filipinos&rft.jtitle=PloS%20one&rft.au=C%20Cutiongco-de%20la%20Paz,%20Eva%20Maria&rft.date=2024-11-19&rft.volume=19&rft.issue=11&rft.spage=e0312291&rft.pages=e0312291-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0312291&rft_dat=%3Cgale_plos_%3EA816731625%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3130599946&rft_id=info:pmid/39561140&rft_galeid=A816731625&rft_doaj_id=oai_doaj_org_article_13afa1e458894ab38fcc600d85e3c8c3&rfr_iscdi=true |