A Graph-based Approach to Variant Extraction from Sequences
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914188408913920 |
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| author | Santcroos, Mark A. Kosters, Walter A. Lefter, Mihai Laros, Jeroen F. J. Vis, Jonathan K. |
| author_facet | Santcroos, Mark A. Kosters, Walter A. Lefter, Mihai Laros, Jeroen F. J. Vis, Jonathan K. |
| contents | Accurate variant descriptions are of paramount importance in the field of genomics. The domain is confronted with increasingly complex variants, e.g., combinations of multiple indels, making it challenging to generate proper variant descriptions directly from chromosomal sequences. We present a graph based on all minimal alignments that is a complete representation of a variant, which gives insight into the nature of a variant compared to a single variant description. We provide three complementary extraction methods to derive variant descriptions from this graph, including one that yields domain-specific constructs from the HGVS nomenclature. Our experiments show that our methods in comparison with dbSNP, the authoritative variant database from the NCBI, result in identical HGVS descriptions for simple variants and more meaningful descriptions for complex variants, in particular for repeat expansions and contractions. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2503_18472 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Graph-based Approach to Variant Extraction from Sequences Santcroos, Mark A. Kosters, Walter A. Lefter, Mihai Laros, Jeroen F. J. Vis, Jonathan K. Genomics Data Structures and Algorithms Accurate variant descriptions are of paramount importance in the field of genomics. The domain is confronted with increasingly complex variants, e.g., combinations of multiple indels, making it challenging to generate proper variant descriptions directly from chromosomal sequences. We present a graph based on all minimal alignments that is a complete representation of a variant, which gives insight into the nature of a variant compared to a single variant description. We provide three complementary extraction methods to derive variant descriptions from this graph, including one that yields domain-specific constructs from the HGVS nomenclature. Our experiments show that our methods in comparison with dbSNP, the authoritative variant database from the NCBI, result in identical HGVS descriptions for simple variants and more meaningful descriptions for complex variants, in particular for repeat expansions and contractions. |
| title | A Graph-based Approach to Variant Extraction from Sequences |
| topic | Genomics Data Structures and Algorithms |
| url | https://arxiv.org/abs/2503.18472 |