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Patient complexity and genotype-phenotype correlations in biliary atresia: a cross-sectional analysis

Overview of attention for article published in BMC Medical Genomics, April 2017
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Title
Patient complexity and genotype-phenotype correlations in biliary atresia: a cross-sectional analysis
Published in
BMC Medical Genomics, April 2017
DOI 10.1186/s12920-017-0259-0
Pubmed ID
Authors

Guo Cheng, Patrick Ho-Yu Chung, Edwin Kin-Wai Chan, Man-Ting So, Pak-Chung Sham, Stacey S. Cherny, Paul Kwong-Hang Tam, Maria-Mercè Garcia-Barceló

Abstract

Biliary Atresia (BA) is rare and genetically complex, and the pathogenesis is elusive. The disease course is variable and can represent heterogeneity, which hinders effective disease management. Deciphering the BA phenotypic variance is a priority in clinics and can be achieved by the integrative analysis of genotype and phenotype. We aim to explore the BA phenotypic features and to delineate the source of its variance. The study is a cross-sectional observational study collating with case/control association analysis. One-hundred-and-eighty-one type III non-syndromic BA patients and 431 controls were included for case-control association tests, including 89 patients (47.19% males, born June 15th, 1981 to September 17th, 2007) have detailed clinical records with follow-up of the disease course (median ~17.2 years). BA-association genes from the genome-wide gene-based association test on common genetic variants (CV) and rare copy-number-variants (CNVs) from the genome-wide survey, the later comprise only CNVs > 100 kb and found in the BA patients but not in the local population (N = 1,381) or the database (N = 11,943). Hereby comorbidity is defined as a chronic disease that affects the BA patients but has no known relationship with BA or with the BA treatment. We examined genotype-phenotype correlations of CNVs, connectivity of these novel variants with BA-associated CVs, and their role in the BA candidate gene network. Of the 89 patients, 41.57% have comorbidities, including autoimmune-allergic disorders (22.47%). They carried 29 BA-private CNVs, including 3 CNVs underpinning the carriers' immunity comorbidity and one JAG1 micro-deletion. The BA-CNV-intersected genes (N = 102) and the CV-tagged genes (N = 103) were both enriched with immune-inflammatory pathway genes (FDR q < 0.20), and the two gene sets were interconnected (permutation p = 0.039). The molecular network representing CVs and rare-CNV association genes fit into a core/periphery structure, the immune genes and their related modules are found at the coherence core of all connections, suggesting its dominant role in the BA pathogenesis pathway. The study highlights a patient-complexity phenomenon as a novel BA phenotypic feature, which is underpinned by rare-CNVs that biologically converge with CVs into the immune-inflammatory pathway and drives the BA occurrence and the likely BA association with immune diseases in clinics.

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Mendeley readers

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Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 5 17%
Other 3 10%
Professor > Associate Professor 3 10%
Student > Master 3 10%
Other 3 10%
Unknown 6 20%
Readers by discipline Count As %
Medicine and Dentistry 9 30%
Biochemistry, Genetics and Molecular Biology 6 20%
Agricultural and Biological Sciences 2 7%
Computer Science 1 3%
Psychology 1 3%
Other 1 3%
Unknown 10 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 April 2017.
All research outputs
#20,414,746
of 22,965,074 outputs
Outputs from BMC Medical Genomics
#1,009
of 1,229 outputs
Outputs of similar age
#269,820
of 310,127 outputs
Outputs of similar age from BMC Medical Genomics
#19
of 21 outputs
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