Detecting significant genotype–phenotype association rules in bipolar disorder: market research meets complex genetics

Detecting significant genotype–phenotype association rules in bipolar disorder: market research meets complex genetics

Abstract Background Disentangling the etiology of common, complex diseases is a major challenge in genetic research. For bipolar disorder (BD), several genome-wide association studies (GWAS) have been performed. Similar to other complex disorders, major breakthroughs in explaining the high heritabil...

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Bibliographic Details
Main Authors: René Breuer, Manuel Mattheisen, Josef Frank, Bertram Krumm, Jens Treutlein, Layla Kassem, Jana Strohmaier, Stefan Herms, Thomas W. Mühleisen, Franziska Degenhardt, Sven Cichon, Markus M. Nöthen, George Karypis, John Kelsoe, Tiffany Greenwood, Caroline Nievergelt, Paul Shilling, Tatyana Shekhtman, Howard Edenberg, David Craig, Szabolcs Szelinger, John Nurnberger, Elliot Gershon, Ney Alliey-Rodriguez, Peter Zandi, Fernando Goes, Nicholas Schork, Erin Smith, Daniel Koller, Peng Zhang, Judith Badner, Wade Berrettini, Cinnamon Bloss, William Byerley, William Coryell, Tatiana Foroud, Yirin Guo, Maria Hipolito, Brendan Keating, William Lawson, Chunyu Liu, Pamela Mahon, Melvin McInnis, Sarah Murray, Evaristus Nwulia, James Potash, John Rice, William Scheftner, Sebastian Zöllner, Francis J. McMahon, Marcella Rietschel, Thomas G. Schulze
Format: Article
Language:English
Published: SpringerOpen 2018-11-01
Series:International Journal of Bipolar Disorders
Subjects:
Bipolar disorder
Subphenotypes
Rule discovery
Data mining
Genotype–phenotype patterns
Online Access:http://link.springer.com/article/10.1186/s40345-018-0132-x

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http://link.springer.com/article/10.1186/s40345-018-0132-x

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