Repeat expansions
ExpansionHunter
At certain places in the genome a short motif repeats many times. If the number of repeats passes a locus-specific threshold, neurological disease arises. Genome estimates the repeat number at defined loci in a targeted way.
Key points
- Known examples are HTT (CAG, Huntington's disease), FMR1 (CGG, fragile X) and C9orf72 (GGGGCC, ALS/FTD).
- Thresholds are locus-specific; in between there are often premutation or grey zones.
- Long repeats are hard to span with short-read sequencing and need dedicated methods.
Why repeats are special
An expansion can be unstable and grow across generations (anticipation). It often does not change a protein directly but disturbs transcription, splicing or creates toxic RNA. That is why the exact repeat count, not just its presence, is clinically decisive. Thresholds are also locus-specific, with premutation or grey zones between normal and pathogenic, so a count with an uncertainty range is more informative than a yes-no result.
Why short reads make this hard
A pathogenic repeat is often longer than a single sequencing read, so no read spans the repeat from both sides. Repetitive motifs also align ambiguously, which is why a standard aligner and an ordinary variant caller underestimate or miss the true length. A reliable estimate therefore needs a targeted, locus-aware method rather than genome-wide SNV logic. Genome consequently handles these loci separately from the rest of variant analysis.
How Genome analyses
Genome uses ExpansionHunter (Illumina). For each locus from a curated catalog (including HTT, FMR1, C9ORF72, FXN, DMPK, CNBP, AR and several ATXN loci) the tool builds a sequence graph from the flanks and the repeated motif and realigns the local reads against it. It evaluates three read classes: spanning reads that fully contain the repeat, flanking reads that reach into it from one side, and in-repeat reads that lie entirely within the motif and flag especially long expansions. From these it estimates a repeat count per allele and reports a genotype confidence interval. Genome reads out these genotypes together with the confidence interval and read support and presents them strictly as repeat evidence, not as small-variant evidence.
What Genome measures. The estimated repeat count per allele at targeted repeat loci, related to the locus-specific normal range and pathogenic threshold.
Related topics
Sources
- 1Dolzhenko et al., 2019 ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regions. Bioinformatics 35(22):4754-4756. doi.org/10.1093/bioinformatics/btz431
- 2Dolzhenko et al., 2017 Detection of long repeat expansions from PCR-free whole-genome sequence data. Genome Research 27(11):1895-1903. doi.org/10.1101/gr.225672.117
- 3Depienne & Mandel, 2021 30 years of repeat expansion disorders: what have we learned and what are the remaining challenges?. American Journal of Human Genetics 108(5):764-785. doi.org/10.1016/j.ajhg.2021.03.011