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Functional polymorphisms in asporin and CILP together with joint loading predispose to hand osteoarthritis

Overview of attention for article published in BMC Genomic Data, December 2017
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Title
Functional polymorphisms in asporin and CILP together with joint loading predispose to hand osteoarthritis
Published in
BMC Genomic Data, December 2017
DOI 10.1186/s12863-017-0585-4
Pubmed ID
Authors

Mari Taipale, Svetlana Solovieva, Päivi Leino-Arjas, Minna Männikkö

Abstract

Osteoarthritis (OA) is the most common degenerative joint disease afflicting people in the Western world and has a strong genetic influence. The aim of this study was to examine the association of two known functional polymorphisms in the TGF-β inhibiting genes, asporin (ASPN) and cartilage intermediate layer protein (CILP), with hand OA and potential gene-occupational hand loading interaction. Statistically significant interaction of the CILP rs2073711 T and ASPN D15 alleles with hand OA was observed (OR = 2.48, 95% CI 1.27-4.85, p = 0.008) in a Finnish hand OA cohort of 543 women (aged 45-63). When stratified by variation in working tasks, low variation of working tasks increased the risk further (OR = 3.00, 95% CI 1.35-6.66, p = 0.007). Based on the analysis of ASPN and CILP protein-coding regions, functional studies were performed with one observed variant, rs41278695 in the ASPN gene. Analyses showed that bone morphogenetic protein 2 (BMP2) mediated expression of aggrecan (Agc1) and type II collagen (Col2a1) was significantly suppressed (p = 0.011 and p = 0.023, respectively) in a murine chondrocytic cell line (ATDC5) with cells stably expressing ASPN rs41278695. The carriage of either ASPN D15 or CILP rs2073711 TT is associated with increased risk of symmetrical hand OA, particularly in individuals with low variation in work tasks. ASPN rs41278695 SNP had an effect on Agc1 and Col2a1 gene expression when induced with BMP-2 suggesting an effect on the cartilage extracellular matrix composition.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 15%
Researcher 5 15%
Student > Master 4 12%
Student > Postgraduate 2 6%
Student > Ph. D. Student 2 6%
Other 3 9%
Unknown 12 36%
Readers by discipline Count As %
Medicine and Dentistry 6 18%
Biochemistry, Genetics and Molecular Biology 3 9%
Veterinary Science and Veterinary Medicine 3 9%
Agricultural and Biological Sciences 3 9%
Neuroscience 2 6%
Other 4 12%
Unknown 12 36%
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 19 December 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#383,683
of 443,738 outputs
Outputs of similar age from BMC Genomic Data
#22
of 27 outputs
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.