Genome-wide association study of asthma in individuals of African ancestry reveals novel asthma susceptibility loci

Autor: Michelle Daya, Nicholas Rafaels, Sameer Chavan, Henry Richard Johnston, Aniket Shetty, Christopher R. Gignoux, Meher Preethi Boorgula, Monica Campbell, Pissamai Maul, Trevor Maul, Candelaria Vergara, Albert M. Levin, Genevieve Wojcik, Dara G. Torgerson, Victor E. Ortega, Ayo Doumatey, Maria Ilma Araujo, Pedro C. Avila, Eugene Bleecker, Carlos Bustamante, Luis Caraballo, Georgia M. Dunston, Mezbah U. Faruque, Trevor S. Ferguson, Camila Figueiredo, Jean G. Ford, Pierre-Antoine Gourraud, Nadia N. Hansel, Ryan D. Hernandez, Edwin Francisco Herrera-Paz, Eimear E. Kenny, Jennifer Knight-Madden, Rajesh Kumar, Lesli A. Lange, Ethan M. Lange, Antoine Lizee, Alvaro Mayorga, Deborah Meyers, Dan L. Nicolae, Timothy D. O’Connor, Ricardo Riccio Oliveira, Christopher O. Olopade, Olufunmilayo Olopade, Zhaohui S. Qin, Charles Rotimi, Harold Watson, Rainford J. Wilks, L. Keoki Williams, James G. Wilson, Carole Ober, Esteban G. Burchard, Terri H. Beaty, Margaret A. Taub, Ingo Ruczinski, Rasika Ann Mathias, Kathleen C. Barnes, Ayola Akim Adegnika, Ganiyu Arinola, Ulysse Ateba-Ngoa, Gerardo Ayestas, Adolfo Correa, Francisco M. De La Vega, Celeste Eng, Said Omar Leiva Erazo, Marilyn G. Foreman, Cassandra Foster, Li Gao, Jingjing Gao, Kimberly Gietzen, Leslie Grammer, Linda Gutierrez, Mark Hansen, Tina Hartert, Yijuan Hu, Kwang-Youn A. Kim, Pamela Landaverde-Torres, Javier Marrugo, Beatriz Martinez, Rosella Martinez, Luis F. Mayorga, Delmy-Aracely Mejia-Mejia, Catherine Meza, Solomon Musani, Shaila Musharoff, Oluwafemi Oluwole, Maria Pino-Yanes, Hector Ramos, Allan Saenz, Steven Salzberg, Maureen Samms-Vaughan, Robert Schleimer, Alan F. Scott, Suyash S. Shringarpure, Wei Song, Zachary A. Szpiech, Raul Torres, Gloria Varela, Olga Marina Vasquez, Lorraine B. Ware, Maria Yazdanbakhsh
Jazyk: angličtina
Rok vydání: 2017
Předmět:
DOI: 10.1101/112953
Popis: BACKGROUNDAsthma is a complex disease with striking disparities across racial and ethnic groups, which may be partly attributable to genetic factors. One of the main goals of the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) is to discover genes conferring risk to asthma in populations of African descent.METHODSWe performed a genome-wide meta-analysis of asthma across 11 CAAPA datasets (4,827 asthma cases and 5,397 controls), genotyped on the African Diaspora Power Chip (ADPC) and including existing GWAS array data. The genotype data were imputed up to a whole genome sequence reference panel from n=880 African ancestry individuals for a total of 61,904,576 SNPs. Statistical models appropriate to each study design were used to test for association, and results were combined using the weighted Z-score method. We also used admixture mapping as a complementary approach to identify loci involved in asthma pathogenesis in subjects of African ancestry.RESULTSSNPs rs787160 and rs17834780 on chromosome 2q22.3 were significantly associated with asthma (p=6.57 × 10−9 and 2.97 × 10−8, respectively). These SNPs lie in the intergenic region between the Rho GTPase Activating Protein 15 (ARHGAP15) and Glycosyltransferase Like Domain Containing 1 (GTDC1) genes. Four low frequency variants on chromosome 1q21.3, which may be involved in the “atopic march” and which are not polymorphic in Europeans, also showed evidence for association with asthma (1.18 ×10−6 ≤ p ≤ 3.06 ×10−6). SNP rs11264909 on chromosome 1q23.1, close to a region previously identified by the EVE asthma meta-analysis as having a putative African ancestry specific effect, only showed differences in counts in subjects homozygous for alleles of African ancestry. Admixture mapping also identified a significantly associated region on chromosome 6q23.2, which includes the Transcription Factor 21 (TCF21) gene, previously shown to be differentially expressed in bronchial tissues of asthmatics and non-asthmatics.CONCLUSIONSWe have identified a number of novel asthma association signals warranting further investigation.
Databáze: OpenAIRE