Genetic interrogation for sequence and copy number variants in systemic lupus erythematosus
Nicholas Kim-Wah Yeo1,2, Che Kang Lim2,3, Katherine Nay Yaung1,2
1Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore.
Frontiers in Genetics
|March 19, 2024
Summary
Early-onset systemic lupus erythematosus (SLE) shows increased genetic burden, particularly in Black, Asian, or Hispanic individuals. This review explores genetic variants in SLE and proposes age-based sequencing for better diagnosis and patient care.
Area of Science:
- Genetics
- Immunology
- Autoimmune Diseases
Background:
- Early-onset systemic lupus erythematosus (SLE) is characterized by disease severity and a significant genetic contribution.
- Genetic disparities in SLE are pronounced across different ancestries, including Black, Asian, and Hispanic populations.
- Next-generation sequencing (NGS) technologies are crucial for identifying genetic variants linked to autoimmune diseases like SLE.
Purpose of the Study:
- To review known causal variants in polygenic and monogenic forms of SLE.
- To discuss the implications of genetic disparities in SLE pathogenesis and presentation.
- To propose an age-based sequencing strategy for improved clinical diagnostics and patient management.
Main Methods:
- Comprehensive literature review of genetic studies in SLE.
- Analysis of whole exome sequencing (WES) data and other genomic interrogation techniques.
- Synthesis of findings on genetic variants, ancestry, and disease presentation.
Main Results:
- Identification of specific causal variants associated with polygenic and monogenic SLE.
- Elucidation of how genetic factors contribute to disease severity and ancestry-related differences.
- Highlighting the role of genetic burden in early-onset SLE.
Conclusions:
- Genetic factors play a critical role in the development and severity of early-onset SLE, with notable ancestral variations.
- An age-based sequencing approach could enhance diagnostic accuracy and personalize patient management strategies for SLE.
- Further research into genetic disparities is essential for advancing SLE care and treatment.
Related Concept Videos
Comparing Copy Number Variations and SNPs
17.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
17.7K
Single Nucleotide Polymorphisms-SNPs
15.1K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
15.1K
Genome-wide Association Studies-GWAS
13.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.4K


