Complement C4 Gene Copy Number Variation Genotyping by High Resolution Melting PCR
Claudia P Jaimes-Bernal1,2, Monte Trujillo3, Francisco José Márquez1
1Immunogenetics Unit, Department of Experimental Biology, Universidad de Jaén, 23071 Jaén, Spain.
Insights
This study developed a simplified assay to quantify complement C4 gene copy number variations (CNVs), crucial for understanding susceptibility to diseases like lupus and schizophrenia.
Area of Science:
- Genetics
- Molecular Biology
Background:
- Complement C4 gene copy number variation (CNV) is linked to susceptibility in autoimmune diseases like lupus, schizophrenia, and rheumatoid arthritis.
- Accurate quantification of C4 CNVs is essential for understanding disease pathogenesis and genetic risk.
Purpose of the Study:
- To develop and validate a novel assay for quantifying complement C4 gene copy number variations.
- To simplify the diagnostic process for C4 CNV.
Main Methods:
- The assay utilizes gene ratio analysis copy enumeration (GRACE) PCR combined with high-resolution melting (HRM) PCR.
- Optimization involved samples with known genotypes, followed by validation using 72 DNA samples from healthy donors.
Main Results:
- Standard curves were generated by plotting C4/RP1 ratio values against copy number variation (CNV) for each gene.
- The observed range of C4 copy numbers in control individuals aligns with previous findings in European populations.
Conclusions:
- The developed method offers a significant simplification for diagnosing complement C4 copy number variations.
- This assay facilitates more accessible and efficient C4 CNV analysis.
Background:
Complement C4 gene copy number variation plays an important role as a determinant of genetic susceptibility to common diseases, such as systemic lupus erythematosus, schizophrenia, rheumatoid arthritis, and infectious diseases. This study aimed to develop an assay for the quantification of copy number variations in the C4 locus.
Methods:
the assay was based on a gene ratio analysis copy enumeration (GRACE) PCR combined with high resolution melting (HRM) PCR. The test was optimized using samples of a known genotype and validated with 72 DNA samples from healthy blood donors.
Results:
to validate the assay, standard curves were generated by plotting the C4/RP1 ratio values against copy number variation (CNV) for each gene, using genomic DNA with known C4 CNV. The range of copy numbers in control individuals was comparable to distributions observed in previous studies of European descent.
Conclusions:
the method herein described significantly simplifies C4 CNV diagnosis to validate the assay.
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