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Integration of Sequence Data from a Consanguineous Family with Genetic Data from an Outbred Population Identifies PLB1 as a Candidate Rheumatoid Arthritis Risk Gene

Overview of attention for article published in PLOS ONE, February 2014
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Title
Integration of Sequence Data from a Consanguineous Family with Genetic Data from an Outbred Population Identifies PLB1 as a Candidate Rheumatoid Arthritis Risk Gene
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0087645
Pubmed ID
Authors

Yukinori Okada, Dorothee Diogo, Jeffrey D. Greenberg, Faten Mouassess, Walid A. L. Achkar, Robert S. Fulton, Joshua C. Denny, Namrata Gupta, Daniel Mirel, Stacy Gabriel, Gang Li, Joel M. Kremer, Dimitrios A. Pappas, Robert J. Carroll, Anne E. Eyler, Gosia Trynka, Eli A. Stahl, Jing Cui, Richa Saxena, Marieke J. H. Coenen, Henk-Jan Guchelaar, Tom W. J. Huizinga, Philippe Dieudé, Xavier Mariette, Anne Barton, Helena Canhão, João E. Fonseca, Niek de Vries, Paul P. Tak, Larry W. Moreland, S. Louis Bridges, Corinne Miceli-Richard, Hyon K. Choi, Yoichiro Kamatani, Pilar Galan, Mark Lathrop, Towfique Raj, Philip L. De Jager, Soumya Raychaudhuri, Jane Worthington, Leonid Padyukov, Lars Klareskog, Katherine A. Siminovitch, Peter K. Gregersen, Elaine R. Mardis, Thurayya Arayssi, Layla A. Kazkaz, Robert M. Plenge

Abstract

Integrating genetic data from families with highly penetrant forms of disease together with genetic data from outbred populations represents a promising strategy to uncover the complete frequency spectrum of risk alleles for complex traits such as rheumatoid arthritis (RA). Here, we demonstrate that rare, low-frequency and common alleles at one gene locus, phospholipase B1 (PLB1), might contribute to risk of RA in a 4-generation consanguineous pedigree (Middle Eastern ancestry) and also in unrelated individuals from the general population (European ancestry). Through identity-by-descent (IBD) mapping and whole-exome sequencing, we identified a non-synonymous c.2263G>C (p.G755R) mutation at the PLB1 gene on 2q23, which significantly co-segregated with RA in family members with a dominant mode of inheritance (P = 0.009). We further evaluated PLB1 variants and risk of RA using a GWAS meta-analysis of 8,875 RA cases and 29,367 controls of European ancestry. We identified significant contributions of two independent non-coding variants near PLB1 with risk of RA (rs116018341 [MAF = 0.042] and rs116541814 [MAF = 0.021], combined P = 3.2 × 10(-6)). Finally, we performed deep exon sequencing of PLB1 in 1,088 RA cases and 1,088 controls (European ancestry), and identified suggestive dispersion of rare protein-coding variant frequencies between cases and controls (P = 0.049 for C-alpha test and P = 0.055 for SKAT). Together, these data suggest that PLB1 is a candidate risk gene for RA. Future studies to characterize the full spectrum of genetic risk in the PLB1 genetic locus are warranted.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Sweden 1 1%
Canada 1 1%
Unknown 83 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 16 19%
Student > Master 9 10%
Student > Bachelor 7 8%
Professor 5 6%
Other 18 21%
Unknown 12 14%
Readers by discipline Count As %
Medicine and Dentistry 26 30%
Agricultural and Biological Sciences 20 23%
Biochemistry, Genetics and Molecular Biology 9 10%
Computer Science 3 3%
Immunology and Microbiology 3 3%
Other 11 13%
Unknown 14 16%
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 25 February 2014.
All research outputs
#13,908,825
of 22,743,667 outputs
Outputs from PLOS ONE
#112,208
of 194,093 outputs
Outputs of similar age
#171,325
of 311,648 outputs
Outputs of similar age from PLOS ONE
#3,206
of 5,866 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,093 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 40th percentile – i.e., 40% 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 311,648 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 5,866 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.