Genome-Wide Association Analysis and Genomic Prediction of Thyroglobulin Plasma Levels.
BSLMM
LMM
ST6GAL1
genome-wide association study
thyroglobulin
thyroid
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
16 Feb 2022
16 Feb 2022
Historique:
received:
25
01
2022
revised:
08
02
2022
accepted:
12
02
2022
entrez:
26
2
2022
pubmed:
27
2
2022
medline:
9
4
2022
Statut:
epublish
Résumé
Thyroglobulin (Tg) is an iodoglycoprotein produced by thyroid follicular cells which acts as an essential substrate for thyroid hormone synthesis. To date, only one genome-wide association study (GWAS) of plasma Tg levels has been performed by our research group. Utilizing recent advancements in computation and modeling, we apply a Bayesian approach to the probabilistic inference of the genetic architecture of Tg. We fitted a Bayesian sparse linear mixed model (BSLMM) and a frequentist linear mixed model (LMM) of 7,289,083 variants in 1096 healthy European-ancestry participants of the Croatian Biobank. Meta-analysis with two independent cohorts (total n = 2109) identified 83 genome-wide significant single nucleotide polymorphisms (SNPs) within the
Identifiants
pubmed: 35216288
pii: ijms23042173
doi: 10.3390/ijms23042173
pmc: PMC8876738
pii:
doi:
Substances chimiques
Thyroglobulin
9010-34-8
Types de publication
Journal Article
Meta-Analysis
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Medical Research Council
ID : MC_UU_00007/10
Pays : United Kingdom
Organisme : Croatian Science Foundation
ID : 2593
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