Variants and QTL associated with variation in genome-wide crossover number

Recombination diversifies the genomes of offspring, influences the evolutionary dynamics of populations, and ensures that chromosomes segregate properly during meiosis. Individuals recombine at different rates but observed levels of variation in recombination rate remain mostly unexplained. Genetic dissection of differences in recombination rate within and between species provides a powerful framework for understanding how this trait evolves. In this Perspective, I amalgamate published findings from genetic studies of variation in the genome-wide number of crossovers  within and between species, and I use exploratory analyses to identify preliminary patterns. The narrow-sense heritability of crossover count is consistently low, indicating limited resemblance among relatives and predicting a weak response to short-term selection. Variants associated with crossover number within populations span the range of minor allele frequencies. The size of the additive effect of recombination-associ..., The dataset was manually assembled from published studies that identified variants and quantitative trait loci (QTL) associated with variation in recombination rate within and between species., , # Variants and QTL associated with variation in genome-wide crossover number

[https://doi.org/10.5061/dryad.8w9ghx3x6](https://doi.org/10.5061/dryad.8w9ghx3x6)

## Description of the data and file structure

The dataset was manually assembled from published studies reporting variants and quantitative trait loci (QTL) associated with variation in the genome-wide number of crossovers within and between species.

### Files and variables

#### File: GWAS\_dataset.csv

**Description:** **Variants associated with genome-wide crossover number by GWAS**

##### Variables

* Individuals = number of individuals for which crossover number was estimated. For studies that did not report the number of individuals, the number of families is provided.
* NR = not reported.
* NA = not applicable.
* Regional = regional heritability analysis.
* Centi-Morgan (cM) positions are provided for studies that did not report Mb positions.
* Among the candidate genes reported by each study, only the subset with inde...