# Investigating the landscape and genetic architecture of germline mutagenesis > **NIH NIH R35** · UNIVERSITY OF WASHINGTON · 2022 · $32,272 ## Abstract PROJECT SUMMARY The rate at which DNA mutates ultimately determines how many people are born with serious genetic dis- eases, as well as how long a person is likely to live before getting cancer. It is also crucial to understand how mutations generate genetic variation in order to accurately infer evolutionary history from genomic data. Despite this fundamental importance for human health and disease, we know little about how the mutation rate varies from person to person and what genetic factors might cause the mutation rate to vary. My previous research has shown that mutations from different populations are biased to occur in different sequence contexts; for example, Europeans contain more mutations in the motif “TCC” than Africans or East Asians do. This implies that each population is affected by a distinctive combination of sequence-biased mutational processes. Unless these dif- ferences are all induced by environmental mutagens, some of them must be the signatures of “mutator alleles,” genetic variants that subtly affect the likelihood of DNA damage or the efficacy of DNA repair. This proposal describes a multi-pronged strategy for interrogating the causes and consequences of variation in DNA replication fidelity. The first step will be to look beyond short, three-letter motifs to identify longer DNA sequences that differ in mutability between populations. To achieve this, we will adapt statistical techniques that have recently been used to identify the motifs that drive hypermutation in immune cells. Once we identify such motifs, we will scan them for concordance with the rich libraries of motifs that are known to regulate protein binding and gene expression. We aim to improve our understanding of the pace of mutation rate evolution, interrogating the role of global migration events in spreading mutator alleles, as well as the contribution of non-genetic factors such as the parental age effect. In humans, it is known that the ages of mothers and fathers at the time children are conceived impacts both the rate and spectrum of mutagenesis, and we propose to investigate this effect in greater generality by sequenc- ing young and old parents together with their offspring in a several species of killifish, a model vertebrate that is famous for maturing and aging extremely rapidly. We plan to exploit the utility of model organisms in another way as well: in natural populations, is difficult to map the genomic locations of mutator alleles because they are predicted to quickly recombine away from mutations they create, but in lab-reared populations, inbreeding can be used to force mutations to stay linked to the genetic backgrounds on which they arise. We will develop methods to map mutator alleles in two different inbred model systems: the BXD recombinant inbred mouse strains and the Drosophila Genome Reference Panel, looking for regions of the genome where specific genetic variants are associated with mutability in specific sequence contexts. Togethe... ## Key facts - **NIH application ID:** 10542240 - **Project number:** 3R35GM133428-03S1 - **Recipient organization:** UNIVERSITY OF WASHINGTON - **Principal Investigator:** Kelley Harris - **Activity code:** R35 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2022 - **Award amount:** $32,272 - **Award type:** 3 - **Project period:** 2019-08-01 → 2024-07-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10542240 ## Citation > US National Institutes of Health, RePORTER application 10542240, Investigating the landscape and genetic architecture of germline mutagenesis (3R35GM133428-03S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10542240. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*