Cargando…

Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits

BACKGROUND: Little is known about the interplay between n-3 fatty acids and genetic variants for diabetes-related traits at the genome-wide level. The present study aimed to examine variance contributions of genotype by environment (GxE) interactions for different erythrocyte n-3 fatty acids and gen...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Ju-Sheng, Lai, Chao-Qiang, Parnell, Laurence D, Lee, Yu-Chi, Shen, Jian, Smith, Caren E, Casas-Agustench, Patricia, Richardson, Kris, Li, Duo, Noel, Sabrina E, Tucker, Katherine L, Arnett, Donna K, Borecki, Ingrid B, Ordovás, José M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168207/
https://www.ncbi.nlm.nih.gov/pubmed/25213455
http://dx.doi.org/10.1186/1471-2164-15-781
_version_ 1782335514265780224
author Zheng, Ju-Sheng
Lai, Chao-Qiang
Parnell, Laurence D
Lee, Yu-Chi
Shen, Jian
Smith, Caren E
Casas-Agustench, Patricia
Richardson, Kris
Li, Duo
Noel, Sabrina E
Tucker, Katherine L
Arnett, Donna K
Borecki, Ingrid B
Ordovás, José M
author_facet Zheng, Ju-Sheng
Lai, Chao-Qiang
Parnell, Laurence D
Lee, Yu-Chi
Shen, Jian
Smith, Caren E
Casas-Agustench, Patricia
Richardson, Kris
Li, Duo
Noel, Sabrina E
Tucker, Katherine L
Arnett, Donna K
Borecki, Ingrid B
Ordovás, José M
author_sort Zheng, Ju-Sheng
collection PubMed
description BACKGROUND: Little is known about the interplay between n-3 fatty acids and genetic variants for diabetes-related traits at the genome-wide level. The present study aimed to examine variance contributions of genotype by environment (GxE) interactions for different erythrocyte n-3 fatty acids and genetic variants for diabetes-related traits at the genome-wide level in a non-Hispanic white population living in the U.S.A. (n = 820). A tool for Genome-wide Complex Trait Analysis (GCTA) was used to estimate the genome-wide GxE variance contribution of four diabetes-related traits: HOMA-Insulin Resistance (HOMA-IR), fasting plasma insulin, glucose and adiponectin. A GxE genome-wide association study (GWAS) was conducted to further elucidate the GCTA results. Replication was conducted in the participants of the Boston Puerto Rican Health Study (BPRHS) without diabetes (n = 716). RESULTS: In GOLDN, docosapentaenoic acid (DPA) contributed the most significant GxE variance to the total phenotypic variance of both HOMA-IR (26.5%, P-nominal = 0.034) and fasting insulin (24.3%, P-nominal = 0.042). The ratio of arachidonic acid to eicosapentaenoic acid + docosahexaenoic acid contributed the most significant GxE variance to the total variance of fasting glucose (27.0%, P-nominal = 0.023). GxE variance of the arachidonic acid/eicosapentaenoic acid ratio showed a marginally significant contribution to the adiponectin variance (16.0%, P-nominal = 0.058). None of the GCTA results were significant after Bonferroni correction (P < 0.001). For each trait, the GxE GWAS identified a far larger number of significant single-nucleotide polymorphisms (P-interaction ≤ 10E-5) for the significant E factor (significant GxE variance contributor) than a control E factor (non-significant GxE variance contributor). In the BPRHS, DPA contributed a marginally significant GxE variance to the phenotypic variance of HOMA-IR (12.9%, P-nominal = 0.068) and fasting insulin (18.0%, P-nominal = 0.033). CONCLUSION: Erythrocyte n-3 fatty acids contributed a significant GxE variance to diabetes-related traits at the genome-wide level. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-781) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4168207
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-41682072014-09-20 Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits Zheng, Ju-Sheng Lai, Chao-Qiang Parnell, Laurence D Lee, Yu-Chi Shen, Jian Smith, Caren E Casas-Agustench, Patricia Richardson, Kris Li, Duo Noel, Sabrina E Tucker, Katherine L Arnett, Donna K Borecki, Ingrid B Ordovás, José M BMC Genomics Research Article BACKGROUND: Little is known about the interplay between n-3 fatty acids and genetic variants for diabetes-related traits at the genome-wide level. The present study aimed to examine variance contributions of genotype by environment (GxE) interactions for different erythrocyte n-3 fatty acids and genetic variants for diabetes-related traits at the genome-wide level in a non-Hispanic white population living in the U.S.A. (n = 820). A tool for Genome-wide Complex Trait Analysis (GCTA) was used to estimate the genome-wide GxE variance contribution of four diabetes-related traits: HOMA-Insulin Resistance (HOMA-IR), fasting plasma insulin, glucose and adiponectin. A GxE genome-wide association study (GWAS) was conducted to further elucidate the GCTA results. Replication was conducted in the participants of the Boston Puerto Rican Health Study (BPRHS) without diabetes (n = 716). RESULTS: In GOLDN, docosapentaenoic acid (DPA) contributed the most significant GxE variance to the total phenotypic variance of both HOMA-IR (26.5%, P-nominal = 0.034) and fasting insulin (24.3%, P-nominal = 0.042). The ratio of arachidonic acid to eicosapentaenoic acid + docosahexaenoic acid contributed the most significant GxE variance to the total variance of fasting glucose (27.0%, P-nominal = 0.023). GxE variance of the arachidonic acid/eicosapentaenoic acid ratio showed a marginally significant contribution to the adiponectin variance (16.0%, P-nominal = 0.058). None of the GCTA results were significant after Bonferroni correction (P < 0.001). For each trait, the GxE GWAS identified a far larger number of significant single-nucleotide polymorphisms (P-interaction ≤ 10E-5) for the significant E factor (significant GxE variance contributor) than a control E factor (non-significant GxE variance contributor). In the BPRHS, DPA contributed a marginally significant GxE variance to the phenotypic variance of HOMA-IR (12.9%, P-nominal = 0.068) and fasting insulin (18.0%, P-nominal = 0.033). CONCLUSION: Erythrocyte n-3 fatty acids contributed a significant GxE variance to diabetes-related traits at the genome-wide level. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-781) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-11 /pmc/articles/PMC4168207/ /pubmed/25213455 http://dx.doi.org/10.1186/1471-2164-15-781 Text en © Zheng et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zheng, Ju-Sheng
Lai, Chao-Qiang
Parnell, Laurence D
Lee, Yu-Chi
Shen, Jian
Smith, Caren E
Casas-Agustench, Patricia
Richardson, Kris
Li, Duo
Noel, Sabrina E
Tucker, Katherine L
Arnett, Donna K
Borecki, Ingrid B
Ordovás, José M
Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits
title Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits
title_full Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits
title_fullStr Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits
title_full_unstemmed Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits
title_short Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits
title_sort genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168207/
https://www.ncbi.nlm.nih.gov/pubmed/25213455
http://dx.doi.org/10.1186/1471-2164-15-781
work_keys_str_mv AT zhengjusheng genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT laichaoqiang genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT parnelllaurenced genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT leeyuchi genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT shenjian genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT smithcarene genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT casasagustenchpatricia genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT richardsonkris genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT liduo genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT noelsabrinae genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT tuckerkatherinel genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT arnettdonnak genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT boreckiingridb genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits
AT ordovasjosem genomewideinteractionofgenotypebyerythrocyten3fattyacidscontributestophenotypicvarianceofdiabetesrelatedtraits