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Genome-wide imputation study identifies novel HLA locus for pulmonary fibrosis and potential role for auto-immunity in fibrotic idiopathic interstitial pneumonia

Overview of attention for article published in BMC Genomic Data, June 2016
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Title
Genome-wide imputation study identifies novel HLA locus for pulmonary fibrosis and potential role for auto-immunity in fibrotic idiopathic interstitial pneumonia
Published in
BMC Genomic Data, June 2016
DOI 10.1186/s12863-016-0377-2
Pubmed ID
Authors

Tasha E. Fingerlin, Weiming Zhang, Ivana V. Yang, Hannah C. Ainsworth, Pamela H. Russell, Rachel Z. Blumhagen, Marvin I. Schwarz, Kevin K. Brown, Mark P. Steele, James E. Loyd, Gregory P. Cosgrove, David A. Lynch, Steve Groshong, Harold R. Collard, Paul J. Wolters, Williamson Z. Bradford, Karl Kossen, Scott D. Seiwert, Roland M. du Bois, Christine Kim Garcia, Megan S. Devine, Gunnar Gudmundsson, Helgi J. Isaksson, Naftali Kaminski, Yingze Zhang, Kevin F. Gibson, Lisa H. Lancaster, Toby M. Maher, Philip L. Molyneaux, Athol U. Wells, Miriam F. Moffatt, Moises Selman, Annie Pardo, Dong Soon Kim, James D. Crapo, Barry J. Make, Elizabeth A. Regan, Dinesha S. Walek, Jerry J. Daniel, Yoichiro Kamatani, Diana Zelenika, Elissa Murphy, Keith Smith, David McKean, Brent S. Pedersen, Janet Talbert, Julia Powers, Cheryl R. Markin, Kenneth B. Beckman, Mark Lathrop, Brian Freed, Carl D. Langefeld, David A. Schwartz

Abstract

Fibrotic idiopathic interstitial pneumonias (fIIP) are a group of fatal lung diseases with largely unknown etiology and without definitive treatment other than lung transplant to prolong life. There is strong evidence for the importance of both rare and common genetic risk alleles in familial and sporadic disease. We have previously used genome-wide single nucleotide polymorphism data to identify 10 risk loci for fIIP. Here we extend that work to imputed genome-wide genotypes and conduct new RNA sequencing studies of lung tissue to identify and characterize new fIIP risk loci. We performed genome-wide genotype imputation association analyses in 1616 non-Hispanic white (NHW) cases and 4683 NHW controls followed by validation and replication (878 cases, 2017 controls) genotyping and targeted gene expression in lung tissue. Following meta-analysis of the discovery and replication populations, we identified a novel fIIP locus in the HLA region of chromosome 6 (rs7887 P meta  = 3.7 × 10(-09)). Imputation of classic HLA alleles identified two in high linkage disequilibrium that are associated with fIIP (DRB1*15:01 P = 1.3 × 10(-7) and DQB1*06:02 P = 6.1 × 10(-8)). Targeted RNA-sequencing of the HLA locus identified 21 genes differentially expressed between fibrotic and control lung tissue (Q < 0.001), many of which are involved in immune and inflammatory response regulation. In addition, the putative risk alleles, DRB1*15:01 and DQB1*06:02, are associated with expression of the DQB1 gene among fIIP cases (Q < 1 × 10(-16)). We have identified a genome-wide significant association between the HLA region and fIIP. Two HLA alleles are associated with fIIP and affect expression of HLA genes in lung tissue, indicating that the potential genetic risk due to HLA alleles may involve gene regulation in addition to altered protein structure. These studies reveal the importance of the HLA region for risk of fIIP and a basis for the potential etiologic role of auto-immunity in fIIP.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Brazil 1 1%
Unknown 91 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 17%
Other 10 11%
Student > Ph. D. Student 10 11%
Student > Master 9 10%
Professor > Associate Professor 7 8%
Other 22 24%
Unknown 19 20%
Readers by discipline Count As %
Medicine and Dentistry 28 30%
Biochemistry, Genetics and Molecular Biology 12 13%
Agricultural and Biological Sciences 8 9%
Mathematics 4 4%
Computer Science 3 3%
Other 12 13%
Unknown 26 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2022.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from BMC Genomic Data
#480
of 1,204 outputs
Outputs of similar age
#191,117
of 355,758 outputs
Outputs of similar age from BMC Genomic Data
#8
of 44 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 355,758 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.