SISTR2 Estimates Genome-Wide Selection On STRs
Authors introduce SISTR2, a computational method published December 1, 2025, to jointly estimate the distribution of selection coefficients across short tandem repeats (STRs) genome-wide. They apply SISTR2 to 1000 Genomes data, characterize mutation-rate and selection heterogeneity across STR classes, and report that inherited single-nucleotide variants carry greater overall fitness burden while de novo STR mutations impose a larger per-generation deleterious burden.
Key Points
- 1Extends SISTR into SISTR2 to jointly estimate selection coefficient distributions across many STR loci
- 2Enables more accurate inference for low-mutation STRs and reveals heterogeneity in mutation and selection parameters
- 3Shows inherited SNVs carry greater total burden, while de novo STR mutations cause higher per-generation deleterious burden
Scoring Rationale
Introduces a scalable genome-wide STR selection inference with usable tools, but applicability is focused on STR variation not broader variant types.
Sources
Public references used for this report.
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