Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis.
Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis.
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DOI:
10.1038/ncomms9382
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发表时间:
2015-09-29
影响因子:
16.6
通讯作者:
Knowles MR
中科院分区:
文献类型:
--
作者:
Corvol H;Blackman SM;Boëlle PY;Gallins PJ;Pace RG;Stonebraker JR;Accurso FJ;Clement A;Collaco JM;Dang H;Dang AT;Franca A;Gong J;Guillot L;Keenan K;Li W;Lin F;Patrone MV;Raraigh KS;Sun L;Zhou YH;O'Neal WK;Sontag MK;Levy H;Durie PR;Rommens JM;Drumm ML;Wright FA;Strug LJ;Cutting GR;Knowles MR
The identification of small molecules that target specific CFTR variants has ushered in a new era of treatment for cystic fibrosis (CF), yet optimal, individualized treatment of CF will require identification and targeting of disease modifiers. Here we use genome-wide association analysis to identify genetic modifiers of CF lung disease, the primary cause of mortality. Meta-analysis of 6,365 CF patients identifies five loci that display significant association with variation in lung disease. Regions on chr3q29 (MUC4/MUC20; P=3.3 × 10−11), chr5p15.3 (SLC9A3; P=6.8 × 10−12), chr6p21.3 (HLA Class II; P=1.2 × 10−8) and chrXq22-q23 (AGTR2/SLC6A14; P=1.8 × 10−9) contain genes of high biological relevance to CF pathophysiology. The fifth locus, on chr11p12-p13 (EHF/APIP; P=1.9 × 10−10), was previously shown to be associated with lung disease. These results provide new insights into potential targets for modulating lung disease severity in CF. Cystic fibrosis imposes a decline in quality of life but new treatments are being developed that target specific CFTR variants. Here the authors identify five genome loci significantly associated with variation in disease severity in a meta-analysis, which may provide targets for individualized treatment of cystic fibrosis.