In humans, recombination plays a critical role in meiosis. Errors in the recombination process lead to aneuploidy, the leading cause of spontaneous miscarriages and of severe developmental disabilities, as well as to deleterious genome rearrangements and possibly to mutations. Yet in spite of its highly constrained roles, recombination is tremendously variable among humans, at every scale examined. Our long-term research interests lie in characterizing this variation, identifying its determinants and understanding its biomedical and evolutionary implications. In particular, our work revealed heritable variation in the set of recombination hotspots used by different individuals, contributing to the discovery of PRDM9 (a gene of central importance in specifying hotspot locations in mice and humans). This case demonstrates how studies of variation in recombination can yield insight into mechanism. We also documented an effect of recombination rates on female fertility, notably in older mothers. Together, our findings and those from other groups underscore the biomedical importance of understanding the determinants of recombination rate variation and their effects. In this competitive renewal, we propose to analyze a huge set of human pedigrees in order to examine the basis for differences in recombination rates among individuals and the consequences for aneuploidy risk and mutagenesis.
In Aim 1, we focus on differences between sexes. We propose to build a fine-scale, sex-specific genetic map at unprecedented resolution and characterize sex-specific hotspots, by analyzing over 3000 nuclear families that have already been genotyped.
In Aim 2, we will conduct a well-powered genome-wide association study to identify new loci that contribute to variation in recombination phenotypes, using the same set of nuclear families.
In Aim 3, we plan to examine how variation in recombination rates and maternal age influence the risk of aneuploidy.
In Aim 3. i, we will assess the evidence for proper segregation of tetrads without a crossover, i.e., for the presence of a back-up mechanism for achiasmatic chromosomes.
In Aim 3. ii, we will characterize the recombination patterns that endanger proper disjunction. To this end, we will collect and analyze samples from women and their trisomic products of conception, contrasting patterns of recombination in this set to age-matched transmissions to viable, non-trisomic offspring. Finally, in Aim 4, we will test whether recombination introduces germline mutations at non-negligible rates, by collecting and analyzing genome sequences for two large nuclear families. This work will yield important new insights into the determinants of recombination rate variation and the implications for human reproductive health and genome evolution.

Public Health Relevance

Errors in the human recombination process lead to aneuploidy, the foremost cause of spontaneous miscarriage and of severe developmental disabilities. Yet recombination varies tremendously among individuals, for reasons that remain poorly understood. This grant aims to identify determinants of recombination rate variation in humans and assess the impact of recombination on mutagenesis and aneuploidy risk.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM083098-05
Application #
8506818
Study Section
Genetic Variation and Evolution Study Section (GVE)
Program Officer
Eckstrand, Irene A
Project Start
2007-09-17
Project End
2017-04-30
Budget Start
2013-04-15
Budget End
2014-04-30
Support Year
5
Fiscal Year
2013
Total Cost
$357,664
Indirect Cost
$102,054
Name
University of Chicago
Department
Genetics
Type
Schools of Medicine
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
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Smith, Joel; Coop, Graham; Stephens, Matthew et al. (2018) Estimating Time to the Common Ancestor for a Beneficial Allele. Mol Biol Evol 35:1003-1017
Baker, Zachary; Schumer, Molly; Haba, Yuki et al. (2017) Repeated losses of PRDM9-directed recombination despite the conservation of PRDM9 across vertebrates. Elife 6:
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Williams, Amy L; Genovese, Giulio; Dyer, Thomas et al. (2015) Non-crossover gene conversions show strong GC bias and unexpected clustering in humans. Elife 4:

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