Genome-wide association study of ancestry-specific TB risk in the South African Coloured population

被引:122
作者
Chimusa, Emile R. [1 ]
Zaitlen, Noah [7 ]
Daya, Michelle [6 ]
Moeller, Marlo [6 ]
van Helden, Paul D. [6 ]
Mulder, Nicola J. [1 ]
Price, Alkes L. [2 ,3 ,4 ,5 ]
Hoal, Eileen G. [6 ]
机构
[1] Univ Cape Town, Dept Clin Lab Sci, Inst Infect Dis & Mol Med, ZA-7925 Cape Town, South Africa
[2] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[3] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[4] Harvard Univ, Sch Publ Hlth, Program Mol & Genet Epidemiol, Boston, MA 02115 USA
[5] Broad Inst, Program Med & Populat Genet, Cambridge, MA USA
[6] Univ Stellenbosch, MRC Ctr Mol & Cellular Biol, DST NRF Ctr Excellence Biomed TB Res, Fac Hlth Sci, ZA-7505 Tygerberg, South Africa
[7] Univ Calif San Francisco, Dept Med, San Francisco, CA USA
关键词
HUMAN GENETIC SUSCEPTIBILITY; PULMONARY TUBERCULOSIS; LOCAL ANCESTRY; POLYMORPHISMS; LINKAGE; MODEL;
D O I
10.1093/hmg/ddt462
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The worldwide burden of tuberculosis (TB) remains an enormous problem, and is particularly severe in the admixed South African Coloured (SAC) population residing in the Western Cape. Despite evidence from twin studies suggesting a strong genetic component to TB resistance, only a few loci have been identified to date. In this work, we conduct a genome-wide association study (GWAS), meta-analysis and trans-ethnic fine mapping to attempt the replication of previously identified TB susceptibility loci. Our GWAS results confirm the WT1 chr11 susceptibility locus (rs2057178: odds ratio = 0.62, P = 2.71e(-06)) previously identified by Thye et al., but fail to replicate previously identified polymorphisms in the TLR8 gene and locus 18q11.2. Our study demonstrates that the genetic contribution to TB risk varies between continental populations, and illustrates the value of including admixed populations in studies of TB risk and other complex phenotypes. Our evaluation of local ancestry based on the real and simulated data demonstrates that case-only admixture mapping is currently impractical in multi-way admixed populations, such as the SAC, due to spurious deviations in average local ancestry generated by current local ancestry inference methods. This study provides insights into identifying disease genes and ancestry-specific disease risk in multi-way admixed populations.
引用
收藏
页码:796 / 809
页数:14
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