A large body of evidence supports the notion that variation at cis regulatory elements is the major contributor to phenotypic diversity and to genetic adaptations. Within this framework, a long-standing hypothesis posits that cis regulatory variants are more likely to be targets of positive natural selection than those acting in trans, because the latter may have deleterious pleiotropic effects. Under this scenario, one might hypothesize that evolution would occur through polygenic adaptation, involving relatively subtle allele frequency shifts at multiple cis regulatory variants, rather than by large changes in allele frequency at few trans acting variants, as predicted by a standard selective sweep model. The transcriptional response to vitamin D is an ideal case study to test the above hypotheses. It is now well established that vitamin D influences many biological functions, including the immune response. Vitamin D acts by binding to the vitamin D receptor (VDR), which allows the VDR to heterodimerize with the retinoic X receptor (RXR) and to act as a transcription factor. Importantly, this pathway was exposed to different selective pressures during human evolution due to changes in UVB exposure, in diet and pathogen pressures. Despite this, the population genetics of the transcriptional response to vitamin D is poorly understood. Here, we propose to identify the VDR target genes and their cis regulatory variants in primary peripheral blood mononuclear cells of African and European ancestry. Two complementary genomics approaches will be used.
In Aim 1, we will map the genetic variation influencing target gene expression in response to treatment with vitamin D.
In Aim 2, we will generate a genome-wide map of VDR and RXR binding sites and then we will test for inter-individual and inter-population differences in VDR binding. Finally, in Aim 3, we will use the catalog of cis regulatory variants identified in the previous aims to investigate the impact of natural selection on this class of variants and to determine whether adaptations occurred mainly by small allele frequency shifts at many loci or by large allele frequency changes at a few key loci. The results of this study wil allow testing fundamental hypotheses about molecular adaptations as they apply to a pathway playing a crucial role in health and disease. Additionally, we will generate a large and comprehensive catalog of candidate susceptibility variants for vitamin D-related diseases that may be leveraged in future genome-wide association studies of diseases of the immune response.

Public Health Relevance

This project aims to study the evolution of inter-individual and inter-population differences in the vitamin D response pathway. This pathway is key to the susceptibility to a number of common diseases, including different types of cancer, autoimmune diseases, and cardiovascular diseases. Therefore, this study is likely to help understand the susceptibility to these disorders and inter-ethnic health disparities.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM101682-04
Application #
8827810
Study Section
Genetic Variation and Evolution Study Section (GVE)
Program Officer
Janes, Daniel E
Project Start
2012-05-01
Project End
2016-03-31
Budget Start
2015-04-01
Budget End
2016-03-31
Support Year
4
Fiscal Year
2015
Total Cost
$311,546
Indirect Cost
$111,546
Name
University of Chicago
Department
Genetics
Type
Schools of Medicine
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
Kariuki, Silvia N; Blischak, John D; Nakagome, Shigeki et al. (2016) Patterns of Transcriptional Response to 1,25-Dihydroxyvitamin D3 and Bacterial Lipopolysaccharide in Primary Human Monocytes. G3 (Bethesda) 6:1345-55
Kariuki, Silvia N; Maranville, Joseph C; Baxter, Shaneen S et al. (2016) Mapping Variation in Cellular and Transcriptional Response to 1,25-Dihydroxyvitamin D3 in Peripheral Blood Mononuclear Cells. PLoS One 11:e0159779
Nakagome, Shigeki; Alkorta-Aranburu, Gorka; Amato, Roberto et al. (2016) Estimating the Ages of Selection Signals from Different Epochs in Human History. Mol Biol Evol 33:657-69
Kupfer, Sonia S; Maranville, Joseph C; Baxter, Shaneen S et al. (2013) Comparison of cellular and transcriptional responses to 1,25-dihydroxyvitamin d3 and glucocorticoids in peripheral blood mononuclear cells. PLoS One 8:e76643