Genome-Wide Association Meta-Analysis Identifies Five Modifier Loci Of Lung Disease Severity In Cystic Fibrosis

NATURE COMMUNICATIONS(2015)

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摘要
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 x 10(-11)), chr5p15.3 (SLC9A3; P = 6.8 x 10(-12)), chr6p21.3 (HLA Class II; P = 1.2 x 10(-8)) and chrXq22-q23 (AGTR2/SLC6A14; P = 1.8 x 10(-9)) contain genes of high biological relevance to CF pathophysiology. The fifth locus, on chr11p12-p13 (EHF/APIP; P = 1.9 x 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.
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