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Investigation of gene-gene interactions of clock genes for chronotype in a healthy Korean population
Chronotype is an important moderator of psychiatric illnesses, which seems to be controlled in some part by genetic factors. Clock genes are the most relevant genes for chronotype. In addition to the roles of individual genes, gene-gene interactions of clock genes substantially contribute to chronot...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808872/ https://www.ncbi.nlm.nih.gov/pubmed/33412754 http://dx.doi.org/10.5808/GI.2020.18.4.e38 |
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author | Park, Mira Kim, Soon Ae Shin, Jieun Joo, Eun-Jeong |
author_facet | Park, Mira Kim, Soon Ae Shin, Jieun Joo, Eun-Jeong |
author_sort | Park, Mira |
collection | PubMed |
description | Chronotype is an important moderator of psychiatric illnesses, which seems to be controlled in some part by genetic factors. Clock genes are the most relevant genes for chronotype. In addition to the roles of individual genes, gene-gene interactions of clock genes substantially contribute to chronotype. We investigated genetic associations and gene-gene interactions of the clock genes BHLHB2, CLOCK, CSNK1E, NR1D1, PER1, PER2, PER3, and TIMELESS for chronotype in 1,293 healthy Korean individuals. Regression analysis was conducted to find associations between single nucleotide polymorphism (SNP) and chronotype. For gene-gene interaction analyses, the quantitative multifactor dimensionality reduction (QMDR) method, a nonparametric model-free method for quantitative phenotypes, were performed. No individual SNP or haplotype showed a significant association with chronotype by both regression analysis and single-locus model of QMDR. QMDR analysis identified NR1D1 rs2314339 and TIMELESS rs4630333 as the best SNP pairs among two-locus interaction models associated with chronotype (cross-validation consistency [CVC] = 8/10, p = 0.041). For the three-locus interaction model, the SNP combination of NR1D1 rs2314339, TIMELESS rs4630333, and PER3 rs228669 showed the best results (CVC = 4/10, p < 0.001). However, because the mean differences between genotype combinations were minor, the clinical roles of clock gene interactions are unlikely to be critical. |
format | Online Article Text |
id | pubmed-7808872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-78088722021-01-26 Investigation of gene-gene interactions of clock genes for chronotype in a healthy Korean population Park, Mira Kim, Soon Ae Shin, Jieun Joo, Eun-Jeong Genomics Inform Original Article Chronotype is an important moderator of psychiatric illnesses, which seems to be controlled in some part by genetic factors. Clock genes are the most relevant genes for chronotype. In addition to the roles of individual genes, gene-gene interactions of clock genes substantially contribute to chronotype. We investigated genetic associations and gene-gene interactions of the clock genes BHLHB2, CLOCK, CSNK1E, NR1D1, PER1, PER2, PER3, and TIMELESS for chronotype in 1,293 healthy Korean individuals. Regression analysis was conducted to find associations between single nucleotide polymorphism (SNP) and chronotype. For gene-gene interaction analyses, the quantitative multifactor dimensionality reduction (QMDR) method, a nonparametric model-free method for quantitative phenotypes, were performed. No individual SNP or haplotype showed a significant association with chronotype by both regression analysis and single-locus model of QMDR. QMDR analysis identified NR1D1 rs2314339 and TIMELESS rs4630333 as the best SNP pairs among two-locus interaction models associated with chronotype (cross-validation consistency [CVC] = 8/10, p = 0.041). For the three-locus interaction model, the SNP combination of NR1D1 rs2314339, TIMELESS rs4630333, and PER3 rs228669 showed the best results (CVC = 4/10, p < 0.001). However, because the mean differences between genotype combinations were minor, the clinical roles of clock gene interactions are unlikely to be critical. Korea Genome Organization 2020-12-09 /pmc/articles/PMC7808872/ /pubmed/33412754 http://dx.doi.org/10.5808/GI.2020.18.4.e38 Text en (c) 2020, Korea Genome Organization (CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Park, Mira Kim, Soon Ae Shin, Jieun Joo, Eun-Jeong Investigation of gene-gene interactions of clock genes for chronotype in a healthy Korean population |
title | Investigation of gene-gene interactions of clock genes for chronotype in a healthy Korean population |
title_full | Investigation of gene-gene interactions of clock genes for chronotype in a healthy Korean population |
title_fullStr | Investigation of gene-gene interactions of clock genes for chronotype in a healthy Korean population |
title_full_unstemmed | Investigation of gene-gene interactions of clock genes for chronotype in a healthy Korean population |
title_short | Investigation of gene-gene interactions of clock genes for chronotype in a healthy Korean population |
title_sort | investigation of gene-gene interactions of clock genes for chronotype in a healthy korean population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808872/ https://www.ncbi.nlm.nih.gov/pubmed/33412754 http://dx.doi.org/10.5808/GI.2020.18.4.e38 |
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