Scholarlink

<p>Inborn Errors of Immunity (IEIs) are rare genetic disorders affecting immune function. Humoral IEIs, the most commonly diagnosed subtype, are characterised by antibody deficiencies. There is limited data regarding the variation of genes associated with humoral IEI in Africa with implications for designing genetic assays for testing for these diseases. This study aimed to assess the genetic variation in genes which are commonly associated with humoral IEI in African populations. Using the African Genome Variation Database (AGVD) which contain genotype frequencies from African populations. We analysed genotype frequency data from the African Genome Variation Database (AGVD), covering diverse African populations, to identify variants in 23 genes associated with humoral IEIs. Variants were annotated using Ensembl’s Variant Effect Predictor and classified for clinical significance with ClinVar. For variants absent in ClinVar, predictive tools (SIFT, PolyPhen-2) were used. A total of 815 variants were identified; 335 were present in African populations, and 219 were unique to African populations. Most were missense mutations, 4 variants identified in TCF3 and RAG1/2 were classified as pathogenic or likely pathogenic. Additionally, 144 variants (43%) were not listed in ClinVar; of these, 53 were predicted to be deleterious. Some variants exhibited high genotype frequencies (e.g., up to 0.67 in CR2), suggesting possible adaptive functions or population-specific relevance.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Uncovering genetic variation in humoral inborn errors of immunity in African populations: insights from the African genome variation database

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月15日

查看全文
  • Luyanda Hlongwa,
  • Ayton Meintjes,
  • Nicola Mulder,
  • Elizabeth Mayne

摘要

Inborn Errors of Immunity (IEIs) are rare genetic disorders affecting immune function. Humoral IEIs, the most commonly diagnosed subtype, are characterised by antibody deficiencies. There is limited data regarding the variation of genes associated with humoral IEI in Africa with implications for designing genetic assays for testing for these diseases. This study aimed to assess the genetic variation in genes which are commonly associated with humoral IEI in African populations. Using the African Genome Variation Database (AGVD) which contain genotype frequencies from African populations. We analysed genotype frequency data from the African Genome Variation Database (AGVD), covering diverse African populations, to identify variants in 23 genes associated with humoral IEIs. Variants were annotated using Ensembl’s Variant Effect Predictor and classified for clinical significance with ClinVar. For variants absent in ClinVar, predictive tools (SIFT, PolyPhen-2) were used. A total of 815 variants were identified; 335 were present in African populations, and 219 were unique to African populations. Most were missense mutations, 4 variants identified in TCF3 and RAG1/2 were classified as pathogenic or likely pathogenic. Additionally, 144 variants (43%) were not listed in ClinVar; of these, 53 were predicted to be deleterious. Some variants exhibited high genotype frequencies (e.g., up to 0.67 in CR2), suggesting possible adaptive functions or population-specific relevance.