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Metabolic syndrome (MetS) is one of the most important risk factors for cardiovascular disease. The 11p23.3 chromosomal region plays a potential role in the pathogenesis of MetS. The present study aimed to assess the association between 18 single nucleotide polymorphisms (SNPs) located at the BUD13, ZPR1, and APOA5 genes with MetS in the Tehran Cardio-metabolic Genetics Study (TCGS). In 5421 MetS affected and non-affected participants, we analyzed the data using two models. The first model (MetS model) examined SNPs' association with MetS. The second model (HTg-MetS Model) examined the association of SNPs with MetS affection participants who had a high plasma triglyceride (TG). The four-gamete rules were used to make SNP sets from correlated nearby SNPs. The kernel machine regression models and single SNP regression evaluated the association between SNP sets and MetS. The kernel machine results showed two sets over three sets of correlated SNPs have a significant joint effect on both models (p < 0.0001). Also, single SNP regression results showed that the odds ratios (ORs) for both models are almost similar; however, the p-values had slightly higher significance levels in the HTg-MetS model. The strongest ORs in the HTg-MetS model belonged to the G allele in rs2266788 (MetS: OR = 1.3, p = 3.6 × 10 -7 ; HTg-MetS: OR = 1.4, p = 2.3 × 10 -11 ) and the T allele in rs651821 (MetS: OR = 1.3, p = 2.8 × 10 -7 ; HTg-MetS: OR = 1.4, p = 3.6 × 10 -11 ). In the present study, the kernel machine regression models could help assess the association between the BUD13, ZPR1, and APOA5 gene variants (11p23.3 region) with lipid-related traits in MetS and MetS affected with high TG.

Titel:	Kernel machine SNP set analysis finds the association of BUD13, ZPR1, and APOA5 variants with metabolic syndrome in Tehran Cardio-metabolic Genetics Study.
Autor/in / Beteiligte Person:	Masjoudi, S ; Sedaghati-Khayat, B ; Givi, NJ ; Bonab, LNH ; Azizi, F ; Daneshpour, MS
Link:	Volltext (PDF) View record at Springer (Volltext)
Zeitschrift:	Scientific reports, Jg. 11 (2021-05-13), Heft 1, S. 10305
Veröffentlichung:	London : Nature Publishing Group, copyright 2011-, 2021
Medientyp:	academicJournal
ISSN:	2045-2322 (electronic)
DOI:	10.1038/s41598-021-89509-5
Schlagwort:	Cardiometabolic Risk Factors Female Humans Iran Male Apolipoprotein A-V genetics Genetic Predisposition to Disease Machine Learning Membrane Transport Proteins genetics Metabolic Syndrome genetics Polymorphism, Single Nucleotide RNA-Binding Proteins genetics
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Research Support, Non-U.S. Gov't Language: English [Sci Rep] 2021 May 13; Vol. 11 (1), pp. 10305. <i>Date of Electronic Publication: </i>2021 May 13. MeSH Terms: Genetic Predisposition to Disease* ; Machine Learning* ; Polymorphism, Single Nucleotide* ; Apolipoprotein A-V / genetics ; Membrane Transport Proteins / genetics ; Metabolic Syndrome / genetics ; RNA-Binding Proteins / genetics ; Cardiometabolic Risk Factors ; Female ; Humans ; Iran ; Male References: Hum Mol Genet. 2011 Oct 1;20(19):3876-83. (PMID: 21729881) ; PLoS One. 2013 Aug 05;8(8):e71203. (PMID: 23940718) ; Arch Iran Med. 2016 Jan;19(1):46-50. (PMID: 26702748) ; Nucleic Acids Res. 1988 Feb 11;16(3):1215. (PMID: 3344216) ; Eur J Clin Invest. 2011 Oct;41(10):1105-12. (PMID: 21443751) ; Biostatistics. 2012 Sep;13(4):762-75. (PMID: 22699862) ; Arch Iran Med. 2010 May;13(3):243-4. (PMID: 20433230) ; Bioinformatics. 2005 Jan 15;21(2):263-5. (PMID: 15297300) ; Am J Hum Genet. 2011 Jul 15;89(1):82-93. (PMID: 21737059) ; Mol Biol Cell. 1998 Oct;9(10):2963-71. (PMID: 9763455) ; Am J Hum Genet. 2013 Jun 6;92(6):841-53. (PMID: 23684009) ; PLoS One. 2012;7(5):e37056. (PMID: 22623978) ; Clin Lab. 2015;61(5-6):615-21. (PMID: 26118197) ; Diabetes. 2011 Apr;60(4):1329-39. (PMID: 21386085) ; Endocr Rev. 2008 Dec;29(7):777-822. (PMID: 18971485) ; Am J Hum Genet. 2002 Nov;71(5):1227-34. (PMID: 12384857) ; JMIR Res Protoc. 2017 Feb 23;6(2):e28. (PMID: 28232301) ; Pediatr Gastroenterol Hepatol Nutr. 2020 May;23(3):189-230. (PMID: 32483543) ; Genet Res (Camb). 2012 Dec;94(6):331-7. (PMID: 23374242) ; Arch Intern Med. 2010 Mar 8;170(5):484-5. (PMID: 20212187) ; J Lipid Res. 2016 Feb;57(2):318-24. (PMID: 26634697) ; J Biol Chem. 2008 Sep 19;283(38):25920-7. (PMID: 18603531) ; Front Genet. 2018 Apr 09;9:112. (PMID: 29686695) ; PLoS One. 2020 Jan 7;15(1):e0227357. (PMID: 31910446) ; Trials. 2009 Jan 25;10:5. (PMID: 19166627) ; Nature. 2006 Dec 14;444(7121):881-7. (PMID: 17167477) ; Circulation. 2009 Oct 20;120(16):1640-5. (PMID: 19805654) ; Science. 1996 Jun 21;272(5269):1797-802. (PMID: 8650580) ; Ann Endocrinol (Paris). 2017 Jul;78(3):146-155. (PMID: 28624160) ; Eat Weight Disord. 2021 Jan 3;:. (PMID: 33389720) ; PLoS One. 2020 Mar 5;15(3):e0229922. (PMID: 32134946) ; J Biol Chem. 2014 Oct 10;289(41):28640-50. (PMID: 25160624) ; Curr Atheroscler Rep. 2017 Jul;19(7):30. (PMID: 28500476) ; Sci Rep. 2014 Jul 03;4:5565. (PMID: 24989072) ; Soz Praventivmed. 2002;47(6):408-26. (PMID: 12643001) ; Genet Epidemiol. 2019 Apr;43(3):342-351. (PMID: 30597647) ; Sci Rep. 2019 Jun 5;9(1):8296. (PMID: 31165758) ; J Cell Mol Med. 2014 Jul;18(7):1417-28. (PMID: 24780069) ; Annu Rev Pharmacol Toxicol. 2000;40:491-518. (PMID: 10836145) ; Nature. 2015 Oct 1;526(7571):68-74. (PMID: 26432245) ; PLoS One. 2013;8(2):e56216. (PMID: 23468858) ; Am J Hum Genet. 2007 Sep;81(3):559-75. (PMID: 17701901) ; RNA Biol. 2016;13(2):128-33. (PMID: 26479714) ; J Cell Mol Med. 2017 Jun;21(6):1106-1116. (PMID: 28371326) ; Diabet Med. 2006 May;23(5):469-80. (PMID: 16681555) ; Gene. 2018 Jun 5;658:146-151. (PMID: 29524577) ; Lancet. 2005 Apr 16-22;365(9468):1415-28. (PMID: 15836891) ; Hum Genomics. 2017 Mar 4;11(1):3. (PMID: 28257648) Substance Nomenclature: 0 (APOA5 protein, human) ; 0 (Apolipoprotein A-V) ; 0 (BUD13 homolog protein, human) ; 0 (Membrane Transport Proteins) ; 0 (RNA-Binding Proteins) ; 0 (ZPR1 protein, human) Entry Date(s): Date Created: 20210514 Date Completed: 20211108 Latest Revision: 20211108 Update Code: 20240513 PubMed Central ID: PMC8119714

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Kernel machine SNP set analysis finds the association of BUD13, ZPR1, and APOA5 variants with metabolic syndrome in Tehran Cardio-metabolic Genetics Study.