Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Genetic Ancestry and Natural Selection Drive Population Differences in Immune Responses to Pathogens
Cell, Volume 167, No. 3, Year 2016
Notification
URL copied to clipboard!
Description
Individuals from different populations vary considerably in their susceptibility to immune-related diseases. To understand how genetic variation and natural selection contribute to these differences, we tested for the effects of African versus European ancestry on the transcriptional response of primary macrophages to live bacterial pathogens. A total of 9.3% of macrophage-expressed genes show ancestry-associated differences in the gene regulatory response to infection, and African ancestry specifically predicts a stronger inflammatory response and reduced intracellular bacterial growth. A large proportion of these differences are under genetic control: for 804 genes, more than 75% of ancestry effects on the immune response can be explained by a single cis- or trans-acting expression quantitative trait locus (eQTL). Finally, we show that genetic effects on the immune response are strongly enriched for recent, population-specific signatures of adaptation. Together, our results demonstrate how historical selective events continue to shape human phenotypic diversity today, including for traits that are key to controlling infection. © 2016 Elsevier Inc.
Authors & Co-Authors
Nédélec, Yohann
Canada, Montreal
University of Montreal
Canada, Montreal
Chu Sainte-justine - le Centre Hospitalier Universitaire Mère-enfant
Sanz, Joaquín
Canada, Montreal
University of Montreal
Canada, Montreal
Chu Sainte-justine - le Centre Hospitalier Universitaire Mère-enfant
Szpiech, Zachary A.
United States, San Francisco
University of California, San Francisco
Pacis, Alain Sarabia
Canada, Montreal
University of Montreal
Canada, Montreal
Chu Sainte-justine - le Centre Hospitalier Universitaire Mère-enfant
Dumaine, Anne A.
Canada, Montreal
Chu Sainte-justine - le Centre Hospitalier Universitaire Mère-enfant
Grenier, Jean Christophe
Canada, Montreal
Chu Sainte-justine - le Centre Hospitalier Universitaire Mère-enfant
Luca, Francesca
United States, Detroit
Wayne State University
Blekhman, Ran
United States, Minneapolis
University of Minnesota Twin Cities
Hernandez, Ryan D.
United States, San Francisco
University of California, San Francisco
Pique-Regi, Roger
United States, Detroit
Wayne State University
Tung, Jenny
United States, Durham
Duke University
Yotova, Vania
Canada, Montreal
Chu Sainte-justine - le Centre Hospitalier Universitaire Mère-enfant
Barreiro, Luis B.
Canada, Montreal
Chu Sainte-justine - le Centre Hospitalier Universitaire Mère-enfant
Canada, Montreal
University of Montreal
Statistics
Citations: 294
Authors: 13
Affiliations: 7
Identifiers
Doi:
10.1016/j.cell.2016.09.025
ISSN:
00928674
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study
Study Approach
Quantitative