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KMID : 1132720230210030037
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Genomics & Informatics
2023 Volume.21 No. 3 p.37 ~ p.37
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Identifying pathogenic variants related to systemic lupus erythematosus by integrating genomic databases and a bioinformatic approach
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Ratih Dewi Yudhani
Dyonisa Nasirochmi Pakha
Suyatmi Suyatmi
Lalu Muhammad Irham
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Abstract
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Systemic lupus erythematosus (SLE) is an inflammatory-autoimmune disease with a complex multi-organ pathogenesis, and it is known to be associated with significant morbidity and mortality. Various genetic, immunological, endocrine, and environmental factors contribute to SLE. Genomic variants have been identified as potential contributors to SLE susceptibility across multiple continents. However, the specific pathogenic variants that drive SLE remain largely undefined. In this study, we sought to identify these pathogenic variants across various continents using genomic and bioinformatic-based methodologies. We found that the variants rs35677470, rs34536443, rs17849502, and rs13306575 are likely damaging in SLE. Furthermore, these four variants appear to affect the gene expression of NCF2, TYK2, and DNASE1L3 in whole blood tissue. Our findings suggest that these genomic variants warrant further research for validation in functional studies and clinical trials involving SLE patients. We conclude that the integration of genomic and bioinformatic-based databases could enhance our understanding of disease susceptibility, including that of SLE.
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KEYWORD
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bioinformatic, genetic factors, genomic variants, single-nucleotide polymorphism, systemic lupus erythematosus
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