Estimation of metabolic syndrome heritability in three large populations including full pedigree and genomic information.
Journal
Human genetics
ISSN: 1432-1203
Titre abrégé: Hum Genet
Pays: Germany
ID NLM: 7613873
Informations de publication
Date de publication:
Jul 2019
Jul 2019
Historique:
received:
07
11
2018
accepted:
29
04
2019
pubmed:
4
6
2019
medline:
13
7
2019
entrez:
3
6
2019
Statut:
ppublish
Résumé
Metabolic syndrome is a complex human disorder characterized by a cluster of conditions (increased blood pressure, hyperglycemia, excessive body fat around the waist, and abnormal cholesterol or triglyceride levels). Any of these conditions increases the risk of serious disorders such as diabetes or cardiovascular disease. Currently, the degree of genetic regulation of this syndrome is under debate and partially unknown. The principal aim of this study was to estimate the genetic component and the common environmental effects in different populations using full pedigree and genomic information. We used three large populations (Gubbio, ARIC, and Ogliastra cohorts) to estimate the heritability of metabolic syndrome. Due to both pedigree and genotyped data, different approaches were applied to summarize relatedness conditions. Linear mixed models (LLM) using average information restricted maximum likelihood (AIREML) algorithm were applied to partition the variances and estimate heritability (h
Identifiants
pubmed: 31154530
doi: 10.1007/s00439-019-02024-6
pii: 10.1007/s00439-019-02024-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
739-748Références
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