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Identification of New Rare Variants Associated With Familial Autoimmune Thyroid Diseases by Deep Sequencing of Linked Loci

Authors :
Yaron Tomer
Cheuk Wun Li
Zhengzi Yi
Mihaela Stefan-Lifshitz
Weijia Zhang
Erlinda Concepcion
Anitha D. Jayaprakash
Ravi Sachidanandam
Source :
J Clin Endocrinol Metab
Publication Year :
2021
Publisher :
Oxford University Press, 2021.

Abstract

Context Genetic risk factors play a major role in the pathoetiology of autoimmune thyroid diseases (AITD). So far, only common risk variants have been identified in AITD susceptibility genes. Recently, rare genetic variants have emerged as important contributors to complex diseases, and we hypothesized that rare variants play a key role in the genetic susceptibility to AITD. Objective We aimed to identify new rare variants that are associated with familial AITD. Methods We performed deep sequencing of 3 previously mapped AITD-linked loci (10q, 12q, and 14q) in a dataset of 34 families in which AITD clustered (familial AITD). Results We identified 13 rare variants, located in the inositol polyphosphate multikinase (IPMK) gene, that were associated with AITD (ie, both Graves’ disease [GD] and Hashimoto’s thyroiditis [HT]); 2 rare variants, within the dihydrolipoamide S-succinyltransferase (DLST) and zinc-finger FYVE domain-containing protein (ZFYVE1) genes, that were associated with GD only; and 3 rare variants, within the phosphoglycerate mutase 1 pseudogene 5 (PGAM1P5), LOC105369879, and methionine aminopeptidase 2 (METAP2) genes, that were associated with HT only. Conclusion Our study demonstrates that, in addition to common variants, rare variants also contribute to the genetic susceptibility to AITD. We identified new rare variants in 6 AITD susceptibility genes that predispose to familial AITD. Of these, 3 genes, IPMK, ZFYVE1, and METAP2, are mechanistically involved in immune pathways and have been previously shown to be associated with autoimmunity. These genes predispose to thyroid autoimmunity and may serve as potential therapeutic targets in the future.

Details

Language :
English
Database :
OpenAIRE
Journal :
J Clin Endocrinol Metab
Accession number :
edsair.doi.dedup.....04a3becedd2a31595272c79655279ab4