Identifying new associated pleiotropic SNPs with lipids by simultaneous test of multiple longitudinal traits: An Iranian family-based study.


Journal

Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761

Informations de publication

Date de publication:
15 Apr 2019
Historique:
received: 03 12 2018
revised: 05 01 2019
accepted: 11 01 2019
pubmed: 19 1 2019
medline: 6 3 2019
entrez: 19 1 2019
Statut: ppublish

Résumé

A number of genome-wide association studies (GWASs) have identified several genetic determinants of plasma lipids in European populations, in which analytical approaches have often been based on the linear regression models and the association test between a SNP and each lipid component individually in cross-sectional designs. Since lipid variations are correlated, the consideration of pleiotropy is necessary and using methods that can perform simultaneous association test of multiple longitudinal traits provides more information about the recognition of the pleiotropic variants. To identify new pleiotropic variants and to determine whether loci identified in previous GWASs can also exert the same effect on lipid concentrations in Iranian population, longitudinal measurements of lipid variations were used in a sample of Iranian population (16,353 individuals within 3100 families) that followed up every 3 years and using a two-step model, the associations of 20,036 available SNPs on chromosome 16 were assessed. Twenty variants within the AC009035.1, SLC12A3, CETP, NLRC5, ESRP2 and, C16orf95 genes showed strong evidence for association with HDL-C, cholesterol, and triglycerides with p-values ranging from 1.7 × 10

Identifiants

pubmed: 30658068
pii: S0378-1119(19)30037-X
doi: 10.1016/j.gene.2019.01.007
pii:
doi:

Substances chimiques

CETP protein, human 0
Cholesterol Ester Transfer Proteins 0
Cholesterol, HDL 0
ESRP2 protein, human 0
Intracellular Signaling Peptides and Proteins 0
Lipids 0
NLRC5 protein, human 0
RNA-Binding Proteins 0
SLC12A3 protein, human 0
Solute Carrier Family 12, Member 3 0
Triglycerides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

156-169

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Nima Hosseinzadeh (N)

Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Yadollah Mehrabi (Y)

Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: mehrabi@sbmu.ac.ir.

Maryam Sadat Daneshpour (MS)

Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Farid Zayeri (F)

Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Kamran Guity (K)

Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Fereidoun Azizi (F)

Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

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Classifications MeSH