Genome-wide gene and serum ferritin interaction in the development of type 2 diabetes in adults aged 40 years or older
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jihye | - |
dc.contributor.author | Woo, Hye Won | - |
dc.contributor.author | Shin, Min-Ho | - |
dc.contributor.author | Kim, Yu-Mi | - |
dc.contributor.author | Lim, Ji Eun | - |
dc.contributor.author | Oh, Bermseok | - |
dc.contributor.author | Song, Dae Sub | - |
dc.contributor.author | Koh, Insong | - |
dc.contributor.author | Kim, Mi Kyung | - |
dc.date.accessioned | 2022-07-06T02:15:47Z | - |
dc.date.available | 2022-07-06T02:15:47Z | - |
dc.date.created | 2022-01-06 | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 0939-4753 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/138464 | - |
dc.description.abstract | Background and aims: Elevated serum ferritin is associated with incident Type 2 diabetes (T2D), but the interactions between serum ferritin and genetic factors which may improve understanding underlying mechanism in the development of T2D are still unclear. We determined the gene–ferritin interactions on the development of T2D by genome-wide gene–ferritin interaction analyses. Methods and results: A total of 3405 participants from two prospective cohorts of community living residents were included, and the median follow-time was 3.99 years. Genome-wide gene–ferritin interactions were analyzed using the joint test with two degrees of freedom and the interaction test with one degree of freedom. There were 18 SNPs selected in the joint test. Finally, four independent variants [rs355140 (LINC00312), rs4075576 (nearby PDGFA), rs1332202 (PTPRD), and rs713157 (nearby LINC00900)] with low pairwise linkage disequilibrium (r2 < 0.2) and located at least 1000 kb from the index SNP showed interactions with serum ferritin level. In the association analyses between serum ferritin levels (tertiles of ferritin and ferritin status) and the incidence of T2D according to genotype, the Incidence Rate Ratios (IRRs) in the highest tertile of ferritin level (vs. the lowest tertile) were greater for participants with heterozygotes of risk alleles of each of the four SNP than IRRs for those with wild type. Compared with the normal group, the elevated ferritin group also had a higher risk of T2D for all genetic variants of risk alleles, particularly its homozygotes. Conclusion: Serum ferritin level interacts with genetic variants (rs355140, rs4075576, rs1332202, and rs713157) in the development of T2D. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Elsevier B.V. | - |
dc.title | Genome-wide gene and serum ferritin interaction in the development of type 2 diabetes in adults aged 40 years or older | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Yu-Mi | - |
dc.contributor.affiliatedAuthor | Koh, Insong | - |
dc.contributor.affiliatedAuthor | Kim, Mi Kyung | - |
dc.identifier.doi | 10.1016/j.numecd.2021.09.028 | - |
dc.identifier.scopusid | 2-s2.0-85121204510 | - |
dc.identifier.wosid | 000736981100025 | - |
dc.identifier.bibliographicCitation | Nutrition, Metabolism and Cardiovascular Diseases, v.32, no.1, pp.231 - 240 | - |
dc.relation.isPartOf | Nutrition, Metabolism and Cardiovascular Diseases | - |
dc.citation.title | Nutrition, Metabolism and Cardiovascular Diseases | - |
dc.citation.volume | 32 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 231 | - |
dc.citation.endPage | 240 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Cardiovascular System & Cardiology | - |
dc.relation.journalResearchArea | Endocrinology & Metabolism | - |
dc.relation.journalResearchArea | Nutrition & Dietetics | - |
dc.relation.journalWebOfScienceCategory | Cardiac & Cardiovascular Systems | - |
dc.relation.journalWebOfScienceCategory | Endocrinology & Metabolism | - |
dc.relation.journalWebOfScienceCategory | Nutrition & Dietetics | - |
dc.subject.keywordPlus | alanine aminotransferase | - |
dc.subject.keywordPlus | C reactive protein | - |
dc.subject.keywordPlus | cholesterol | - |
dc.subject.keywordPlus | ferritin | - |
dc.subject.keywordPlus | gamma glutamyltransferase | - |
dc.subject.keywordPlus | high density lipoprotein cholesterol | - |
dc.subject.keywordPlus | insulin | - |
dc.subject.keywordPlus | triacylglycerol | - |
dc.subject.keywordPlus | adult | - |
dc.subject.keywordPlus | allele | - |
dc.subject.keywordPlus | Article | - |
dc.subject.keywordPlus | body mass | - |
dc.subject.keywordPlus | caloric intake | - |
dc.subject.keywordPlus | cohort analysis | - |
dc.subject.keywordPlus | diastolic blood pressure | - |
dc.subject.keywordPlus | disease association | - |
dc.subject.keywordPlus | exercise | - |
dc.subject.keywordPlus | female | - |
dc.subject.keywordPlus | follow up | - |
dc.subject.keywordPlus | food frequency questionnaire | - |
dc.subject.keywordPlus | gene frequency | - |
dc.subject.keywordPlus | gene interaction | - |
dc.subject.keywordPlus | gene linkage disequilibrium | - |
dc.subject.keywordPlus | genetic variability | - |
dc.subject.keywordPlus | genome-wide association study | - |
dc.subject.keywordPlus | genotype | - |
dc.subject.keywordPlus | genotyping technique | - |
dc.subject.keywordPlus | glucose blood level | - |
dc.subject.keywordPlus | heterozygote | - |
dc.subject.keywordPlus | homeostasis model assessment | - |
dc.subject.keywordPlus | homozygote | - |
dc.subject.keywordPlus | human | - |
dc.subject.keywordPlus | human experiment | - |
dc.subject.keywordPlus | incidence | - |
dc.subject.keywordPlus | iron intake | - |
dc.subject.keywordPlus | lifestyle modification | - |
dc.subject.keywordPlus | male | - |
dc.subject.keywordPlus | middle aged | - |
dc.subject.keywordPlus | non insulin dependent diabetes mellitus | - |
dc.subject.keywordPlus | prospective study | - |
dc.subject.keywordPlus | single nucleotide polymorphism | - |
dc.subject.keywordPlus | structured questionnaire | - |
dc.subject.keywordPlus | systolic blood pressure | - |
dc.subject.keywordPlus | waist circumference | - |
dc.subject.keywordAuthor | Gene–ferritin interaction | - |
dc.subject.keywordAuthor | Genome-wide gene–environment interaction | - |
dc.subject.keywordAuthor | Prospective study | - |
dc.subject.keywordAuthor | Type 2 diabetes | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0939475321004683?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.