Review
Variation in recombination rate across the genome: evidence and implications

https://doi.org/10.1016/S0959-437X(02)00358-1Get rights and content

Abstract

Recent data from humans and other species provide convincing evidence of variation in recombination rate in different genomic regions. Comparison of physical and genetic maps reveals variation on a scale of megabases, with substantial differences between sexes. Recombination is often suppressed near centromeres and elevated near telomeres, but neither of these observations is true for all chromosomes. In humans, patterns of linkage disequilibrium and experimental measures of recombination from sperm-typing reveal dramatic hotspots of recombination on a scale of kilobases. Genome-wide variation in the amount of crossing-over may be due to variation in the density of hotspots, the intensity of hotspots, or both. Theoretical models of selection and linkage predict that genetic variation will be reduced in regions of low recombination, and this prediction is supported by data from several species. Heterogeneity in rates of crossing-over provides both an opportunity and a challenge for identifying disease genes: as associations occur in blocks, genomic regions containing disease loci may be identified with relatively few markers, yet identifying the causal mutations is unlikely to be achieved through associations alone.

Introduction

Meiotic recombination — the exchange of genetic information between homologous chromosomes during prophase I of meiosis — is widespread among eukaryotes, and the rate at which this exchange occurs may vary substantially among species, among individuals, between the sexes, and among different regions of the genome. Variation in the rate of recombination can have profound consequences for the structure of genetic variation and consequently for our ability to map and identify disease genes. Historically, the rate of crossing-over was measured cytologically, by observing chiasmata through the microscope, or by the number of recombinant individuals recovered in genetic crosses using phenotypic markers. With the availability of complete genome sequences and thousands of molecular markers, it is now possible to describe the amount and distribution of recombination in great detail. The pattern that emerges is complex and varies strikingly in different species and in different genomic regions.

Theoretical models indicate that the level of recombination can affect the amount and pattern of genetic variation in many ways. For example, in regions of the genome where recombination is either reduced or absent, non-random associations among alleles at different loci are expected. As a consequence of selection at linked sites, genomic regions with little recombination may also harbor fewer polymorphisms in addition to polymorphisms at lower frequencies. Moreover, the efficacy of selection is expected to vary as a function of recombination rate: interference due to linkage may reduce the chances of fixing beneficial mutations in regions of low recombination.

Here, I review evidence for variation in recombination rate, with special emphasis on humans and, to a lesser extent, Drosophila. I then discuss some of the theoretical predictions concerning the effect of variable recombination rate on patterns of genetic variation and I highlight recent data from flies and humans that address these predictions. Finally, I point to some of the implications of variation in the rate of meiotic crossing-over for our approach to mapping and identifying genes underlying complex traits, including many diseases.

Section snippets

Evidence for variation in recombination rate

Measurements of recombination can be made directly from exchanges that occur in meiosis. In organisms that are easily bred, such as mice and flies, recombinants are observed as progeny from genetic crosses; in humans, recombination is measured by comparing parents and offspring in pedigrees. More recently, recombination has also been measured in humans over very short intervals via typing of recombinant sperm using a PCR assay 1., 2•.. To compare rates of crossing-over, rather than the absolute

Predicted consequences of variation in recombination rate

A considerable body of theoretical work has addressed the ways in which selection and linkage may jointly affect patterns of genetic variation. Here, I focus on just two patterns: the amount of genetic variation and the distribution of allele frequencies. Because this work has been reviewed recently elsewhere 30., 31., I only highlight several key predictions.

Models of selection at linked sites show that the amount of genetic variation may be reduced in regions of low recombination. Genetic

What do the data tell us?

A correlation between recombination rate and nucleotide variability was first documented in Drosophila [42•]. Similar results have now been demonstrated for a variety of organisms, from plants to humans 43., 44., 45., 46., 47., 48., although the strength of this relationship varies considerably among species. In both flies and in humans, variation in recombination rate explains >50% of the variability in nucleotide heterozygosity. Evidence that this correlation is not driven primarily by

Implications for mapping disease genes

Recombination is a double-edged sword for mapping disease genes. For mapping genes involved in complex diseases, where the effects of individual loci are relatively small, association studies may offer more power than transmission studies [53]. Association studies rely on LD between markers and traits. Thus, in genomic regions with low rates of recombination and high levels of LD, markers at considerable distances may associate non-randomly with genes conferring increased risk to a disease of

Conclusions

Data from complete genome sequences, particularly in humans, provides convincing evidence for variation in recombination rate in different regions of the genome. Our understanding of this variation in recombination comes from observations at different scales. On a fine scale, patterns of LD and sperm typing in humans reveal hotspots of recombination separated by distances of 10–100 kb, and some of these hotspots recombine at rates (>100 cM/Mb) over three orders of magnitude higher than

Acknowledgements

My work is supported by grants from the National Science Foundation. I thank HE Hoekstra, BA Payseur, and SP Otto for comments on the manuscript.

References and recommended reading

Papers of particular interest, published within the annual period of review, have been highlighted as:

  • • of special interest

  • •• of outstanding interest

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