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A novel approach to genome-wide association analysis identifies genetic associations with primary biliary cholangitis and primary sclerosing cholangitis in Polish patients

Overview of attention for article published in BMC Medical Genomics, January 2017
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Title
A novel approach to genome-wide association analysis identifies genetic associations with primary biliary cholangitis and primary sclerosing cholangitis in Polish patients
Published in
BMC Medical Genomics, January 2017
DOI 10.1186/s12920-016-0239-9
Pubmed ID
Authors

Agnieszka Paziewska, Andrzej Habior, Agnieszka Rogowska, Włodzimierz Zych, Krzysztof Goryca, Jakub Karczmarski, Michalina Dabrowska, Filip Ambrozkiewicz, Bozena Walewska-Zielecka, Marek Krawczyk, Halina Cichoz-Lach, Piotr Milkiewicz, Agnieszka Kowalik, Krzysztof Mucha, Joanna Raczynska, Joanna Musialik, Grzegorz Boryczka, Michal Wasilewicz, Irena Ciecko-Michalska, Malgorzata Ferenc, Maria Janiak, Alina Kanikowska, Rafal Stankiewicz, Marek Hartleb, Tomasz Mach, Marian Grzymislawski, Joanna Raszeja-Wyszomirska, Ewa Wunsch, Tomasz Bobinski, Michal Mikula, Jerzy Ostrowski

Abstract

Primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC) are forms of hepatic autoimmunity, and risk for both diseases has a strong genetic component. This study aimed to define the genetic architecture of PBC and PSC within the Polish population. Subjects were 443 women with PBC, 120 patients with PSC, and 934 healthy controls recruited from Gastroenterology Departments in various Polish hospitals. Allelotyping employed a pooled-DNA sample-based genome-wide association study (GWAS) approach, using Illumina Human Omni2.5-Exome BeadChips and the following novel selection criteria for risk loci: blocks of at least 10 single nucleotide polymorphisms (SNPs) in strong linkage disequilibrium, where the distance between each adjacent SNP pair in the block was less than 30 kb, and each SNP was associated with disease at a significance level of P < 0.005. A selected index SNP from each block was validated using TaqMan SNP genotyping assays. Nineteen and twenty-one SNPs were verified as associated with PBC and PSC, respectively, by individual genotyping; 19 (10/9, PBC/PSC) SNPs reached a stringent (corrected) significance threshold and a further 21 (9/12, PBC/PSC) reached a nominal level of significance (P < 0.05 with odds ratio (OR) > 1.2 or < 0.83), providing suggestive evidence of association. The SNPs mapped to seven (1p31.3, 3q13, 6p21, 7q32.1, 11q23.3, 17q12, 19q13.33) and one (6p21) chromosome region previously associated with PBC and PSC, respectively. The SNP, rs35730843, mapping to the POLR2G gene promoter (P = 1.2 × 10(-5), OR = 0.39) demonstrated the highest effect size, and was protective for PBC, whereas for PSC respective SNPs were: rs13191240 in the intron of ADGRB3 gene (P = 0.0095, OR = 0.2) and rs3822659 (P = 0.0051, OR = 0.236) along with rs9686714 (P = 0.00077, OR = 0.2), both located in the WWC1 gene. Our cost-effective GWAS approach followed by individual genotyping confirmed several previously identified associations and discovered new susceptibility loci associated with PBC and/or PSC in Polish patients. However, further functional studies are warranted to understand the roles of these newly identified variants in the development of the two disorders.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 16%
Researcher 3 12%
Professor 3 12%
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Other 7 28%
Unknown 3 12%
Readers by discipline Count As %
Medicine and Dentistry 9 36%
Biochemistry, Genetics and Molecular Biology 6 24%
Agricultural and Biological Sciences 2 8%
Immunology and Microbiology 1 4%
Engineering 1 4%
Other 0 0%
Unknown 6 24%
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 12 January 2017.
All research outputs
#15,423,393
of 22,931,367 outputs
Outputs from BMC Medical Genomics
#678
of 1,227 outputs
Outputs of similar age
#256,418
of 420,412 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 12 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,227 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 420,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.