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The bm12 Inducible Model of Systemic Lupus Erythematosus (SLE) in C57BL/6 Mice
Published on: November 1, 2015
Mapping susceptibility gene in systemic lupus erythematosus
R Hal Scofield1, Kenneth M Kaufman
1Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA. hal-scofield@omrf.ouhsc.edu
Methods in Molecular Biology (Clifton, N.J.)
|August 31, 2012
Summary
Researchers are identifying causal genetic variants for systemic lupus erythematosus (SLE) susceptibility. This involves fine-mapping common variants and sequencing rare variants to understand lupus genetics.
Area of Science:
- Genetics
- Immunology
- Systemic Lupus Erythematosus Research
Background:
- Genome-wide association studies (GWAS) have identified numerous genetic loci associated with systemic lupus erythematosus (SLE).
- Limitations of GWAS include inability to pinpoint causal single-nucleotide polymorphisms (SNPs) and difficulty in detecting rare variants with potentially high impact.
Purpose of the Study:
- To identify causal alleles for SLE susceptibility genes.
- To overcome limitations of GWAS by fine-mapping common variants and sequencing rare variants.
Main Methods:
- A candidate gene study involving over 40 investigators contributing patient and control samples.
- Development of a custom array with designated SNPs for fine-mapping genetic associations.
- Initiation of next-generation sequencing to analyze all exons in patients and controls for rare variants.
Main Results:
- Fine-mapping efforts have clarified associations at approximately ten previously identified loci.
- Comparative analyses across different ethnicities have enhanced understanding of SLE genetic architecture.
- Next-generation sequencing is underway to identify causal alleles and rare variants contributing to SLE.
Conclusions:
- A multi-pronged approach combining fine-mapping and next-generation sequencing is crucial for identifying causal SLE genetic variants.
- Understanding both common and rare genetic variants is essential for a comprehensive genetic model of SLE.
- Collaborative efforts and diverse ethnic data improve the power to detect SLE susceptibility genes.
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