研究目的
To perform whole-exome sequencing (WES) to examine variants in known inherited retinal diseases (IRDs) genes in underrepresented African cohorts.
研究成果
This is the first report of WES of patients with IRDs in indigenous African populations. Our study identified genetic defects in almost 40% of the families analyzed, significantly enhancing the molecular diagnosis of IRD in South Africa. Thus, WES of understudied cohorts seems to present an effective strategy for determining novel mutations in heterogeneous retinal diseases.
研究不足
Whole-exome sequencing is a capture-based method with genomic regions of low coverage and poor detection of large genomic alterations. Additionally, WES will not detect less obvious pathogenic variants, such as ncRNA or regulatory variants and those present in the untranslated regions or introns. The clinical complexity of IRDs could result in an incorrect inheritance pattern being assumed and hence incorrect variant filtering during cosegregation analysis.
1:Experimental Design and Method Selection:
Whole-exome sequencing was performed on 56 samples from 16 families with diverse IRD phenotypes that had remained undiagnosed after screening for known mutations using genotyping-based microarrays. Variants in reported IRD genes were identified using WES and validated by Sanger sequencing. Custom TaqMan assays were used to screen for identified mutations in 193 unrelated indigenous Africans with IRDs.
2:Sample Selection and Data Sources:
Samples from indigenous African families were selected from the registry if DNA was available from at least three family members and if a proband had been screened using the appropriate microarray but no molecular diagnosis had been obtained.
3:List of Experimental Equipment and Materials:
Genomic DNA samples were quantified using the QuantiFluor dsDNA system. Whole-exome capture was performed using the Nextera Rapid Capture Expanded Exome kit, and sequences were obtained on a HiSeq2500 platform.
4:Experimental Procedures and Operational Workflow:
FastQC was used to confirm quality of sequencing, after which adapter indexes were removed using Trimmomatic. Reads were mapped to the human reference sequence using BWA, and GATK was used for variant calling, local realignment, base quality recalibration, and variant recalibration. Annotation of variants was performed with ANNOVAR.
5:Data Analysis Methods:
Variants with a minor allele frequency (MAF) of <0.1 in the 1000 Genomes Project were prioritized, as were exonic or splicing variants. The variants were subsequently selected based on cosegregation with the disease phenotype within each family.
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QuantiFluor dsDNA system
Promega
Quantification of genomic DNA samples
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Nextera Rapid Capture Expanded Exome kit
Illumina
Whole-exome capture
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HiSeq2500 platform
Illumina
Obtaining 125-bp paired-end sequences
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FastQC
Confirm quality of sequencing
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Trimmomatic
Remove adapter indexes
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BWA
Map reads to the human reference sequence
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GATK
Variant calling, local realignment, base quality recalibration, and variant recalibration
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ANNOVAR
Annotation of variants
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TaqMan GT mastermix
Applied Biosystems
Screening for identified mutations
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ABI 7900HT instrument
Applied Biosystems
Thermal cycling
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