학술논문
Genome-wide association study identifies multiple susceptibility loci for multiple myeloma
Document Type
article
Author
Jonathan S. Mitchell; Ni Li; Niels Weinhold; Asta Försti; Mina Ali; Mark van Duin; Gudmar Thorleifsson; David C. Johnson; Bowang Chen; Britt-Marie Halvarsson; Daniel F. Gudbjartsson; Rowan Kuiper; Owen W. Stephens; Uta Bertsch; Peter Broderick; Chiara Campo; Hermann Einsele; Walter A. Gregory; Urban Gullberg; Marc Henrion; Jens Hillengass; Per Hoffmann; Graham H. Jackson; Ellinor Johnsson; Magnus Jöud; Sigurður Y. Kristinsson; Stig Lenhoff; Oleg Lenive; Ulf-Henrik Mellqvist; Gabriele Migliorini; Hareth Nahi; Sven Nelander; Jolanta Nickel; Markus M. Nöthen; Thorunn Rafnar; Fiona M. Ross; Miguel Inacio da Silva Filho; Bhairavi Swaminathan; Hauke Thomsen; Ingemar Turesson; Annette Vangsted; Ulla Vogel; Anders Waage; Brian A. Walker; Anna-Karin Wihlborg; Annemiek Broyl; Faith E. Davies; Unnur Thorsteinsdottir; Christian Langer; Markus Hansson; Martin Kaiser; Pieter Sonneveld; Kari Stefansson; Gareth J. Morgan; Hartmut Goldschmidt; Kari Hemminki; Björn Nilsson; Richard S. Houlston
Source
Nature Communications, Vol 7, Iss 1, Pp 1-9 (2016)
Subject
Language
English
ISSN
2041-1723
Abstract
Previous genome-wide association studies have identified loci associated with the risk of multiple myeloma. Here, the authors present a meta-analysis of six genome wide association studies of the disease and identify eight new loci; functional studies identify genes as candidates for the basis of these associations.