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

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...

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Main Authors: Okada, Yukinori, Diogo, Dorothee, Greenberg, Jeffrey D., Mouassess, Faten, Achkar, Walid A. L., Fulton, Robert S., Denny, Joshua C., Gupta, Namrata, Mirel, Daniel, Gabriel, Stacy, Li, Gang, Kremer, Joel M., Pappas, Dimitrios A., Carroll, Robert J., Eyler, Anne E., Trynka, Gosia, Stahl, Eli A., Cui, Jing, Saxena, Richa, Coenen, Marieke J. H., Guchelaar, Henk-Jan, Huizinga, Tom W. J., Dieudé, Philippe, Mariette, Xavier, Barton, Anne, Canhão, Helena, Fonseca, João E., de Vries, Niek, Tak, Paul P., Moreland, Larry W., Bridges, S. Louis, Miceli-Richard, Corinne, Choi, Hyon K., Kamatani, Yoichiro, Galan, Pilar, Lathrop, Mark, Raj, Towfique, De Jager, Philip L., Raychaudhuri, Soumya, Worthington, Jane, Padyukov, Leonid, Klareskog, Lars, Siminovitch, Katherine A., Gregersen, Peter K., Mardis, Elaine R., Arayssi, Thurayya, Kazkaz, Layla A., Plenge, Robert M.
Format: Online
Language:English
Published: Public Library of Science 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919745/