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Emerging roles of rare and low-frequency genetic variants in type 1 diabetes mellitus
- Source :
- Journal of Medical Genetics. 58:289-296
- Publication Year :
- 2021
- Publisher :
- BMJ, 2021.
-
Abstract
- Type 1 diabetes mellitus (T1DM) is defined as an autoimmune disorder and has enormous complexity and heterogeneity. Although its precise pathogenic mechanisms are obscure, this disease is widely acknowledged to be precipitated by environmental factors in individuals with genetic susceptibility. To date, the known susceptibility loci, which have mostly been identified by genome-wide association studies, can explain 80%–85% of the heritability of T1DM. Researchers believe that at least a part of its missing genetic component is caused by undetected rare and low-frequency variants. Most common variants have only small to modest effect sizes, which increases the difficulty of dissecting their functions and restricts their potential clinical application. Intriguingly, many studies have indicated that rare and low-frequency variants have larger effect sizes and play more significant roles in susceptibility to common diseases, including T1DM, than common variants do. Therefore, better recognition of rare and low-frequency variants is beneficial for revealing the genetic architecture of T1DM and for providing new and potent therapeutic targets for this disease. Here, we will discuss existing challenges as well as the great significance of this field and review current knowledge of the contributions of rare and low-frequency variants to T1DM.
- Subjects :
- 0301 basic medicine
Genetics
Type 1 diabetes
Genetic variants
Genetic Variation
030209 endocrinology & metabolism
Disease
Heritability
Biology
medicine.disease
Genetic architecture
03 medical and health sciences
Diabetes Mellitus, Type 1
030104 developmental biology
0302 clinical medicine
Gene Frequency
medicine
Genetic predisposition
Susceptibility locus
Humans
Genetics (clinical)
Genetic association
Subjects
Details
- ISSN :
- 14686244 and 00222593
- Volume :
- 58
- Database :
- OpenAIRE
- Journal :
- Journal of Medical Genetics
- Accession number :
- edsair.doi.dedup.....96dfe4ba1cc78ba1fc655bf56378571e
- Full Text :
- https://doi.org/10.1136/jmedgenet-2020-107350