NIH – R01 “Population Genetic Consequences of Explosive Population Growth in Humans,” joint with Dr. Alon Keinan, Cornell; Dr. Yun Song of UC Berkeley; and Dr. John Novembre, Univ. of Chicago.
This project will develop methods of population genetic analysis to understand the role of recent rapid population expansion in shaping patterns of variation in human populations. Improved methods for genetic inference in the face of such rapid growth will be developed, correcting the misapplication of standard methods which were developed for stable populations. Rapid population expansion dramatically inflates the abundance of rare variants in the population, and the impact of this on the genetic architecture of human disease risk will be quantified.
NSF-DEB “Genome-Wide Dynamics of Neutral and Fitness-Related Variation in a Pedigreed Population of Florida Scrub Jays Undergoing Regional Decline,” joint with Dr. John Fitzpatrick.
We aim to identify regions of the genome associated with fitness-related traits and assess the relative importance of different microevolutionary forces in governing allele frequency dynamics in a declining population of Florida Scrub-Jays. This is the first comprehensive genome-wide analysis of the response of a population to severe restriction in population size.
NIH – R01 “Genetic Transmission of Components of the Human Gut Microbiome,” joint with Dr. Ruth Ley.
Despite the importance of both variation in the human genome and variation in the gut microbiome to human health, there is currently little knowledge connecting the two. But it is likely that variation in the human genome can result in differences in the composition of the gut microbiota with potential impact on disease outcomes. Results obtained from the proposed research will bridge this knowledge gap, and will ultimately be used to improve the lifestyles of individuals suffering from common diseases such as obesity and diabetes, and to develop preventative measures to mitigate the manifestation of disease.
NIH – R01 “Drosophila Genes Causing Male x Female Interactions in Reproduction,” joint with Dr. Mariana Wolfner.
Using Drosophila melanogaster as a model for male- and female-derived proteins that interact after mating and prior to fertilization, this project aims to test the roles of candidate genes for this process by a series of knockdown experiments tested across a range of natural variation. Aim 1 considers genes that are expressed in the female, while Aim 2 is focused on genes expressed in the male. The project has significance to understanding the molecular nature of mating interactions, and we anticipate that the results will be relevant to idiopathic infertility in humans, which appears to arise from a reproductive incompatibility between the particular pair of individuals involved.
NIH – R01 “Population Genetic Inferences from Dense Genotype Data,” joint with Dr. Carlos Bustamante of Stanford University and Dr. Rasmus Nielsen of UC Berkeley.
This project aims to understand the population-level forces at play on the human genome by analysis of genome-wide SNP data and next-generation sequences using newly developed statistical methods. Estimation of model parameters from alignments of next-generation sequence reads will be done so as to accommodate base-calling uncertainty, and segment-wise inference of ancestry in admixed genomes will be applied to understand past admixture history. Identity-by-descent methods will be pursued to allow the most reliable inferences about demography, natural selection and other population forces acting on human genetic variation.
NIH – R01 “Functional & Comparative Genomics of Drosophila Immunity,” joint with Dr. Brian Lazzaro.
This project aims to experimentally define and quantitatively model the regulation of the innate immune response, emphasizing the balance of cis-acting and trans-acting genetic variation and the role of regulatory microRNAs. A well-characterized reference set of Drosophila melanogaster genetic lines will be exploited for experimental work and for development of the quantitative model. This project is aimed at understanding how genetic variation in populations mediates individual differences in the efficacy of immune defense against microbial infection.