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A Genome-Wide Association Study of Depressive Symptoms
Journal article published in 2013 by
Karin Hek 
,
Ayse Demirkan ,
Jari Lahti ,
Antonio Terracciano,
Alexander Teumer,
Marilyn C. Cornelis,
Najaf Amin,
Erin Bakshis,
Jens Baumert,
Jingzhong Z. Ding,
Yongmei M. Liu,
Kristin Marciante,
Osorio Meirelles,
Michael A. Nalls,
Yan V. Sun
and other authors.
,
Ayse Demirkan ,
Jari Lahti ,
Antonio Terracciano,
Alexander Teumer,
Marilyn C. Cornelis,
Najaf Amin,
Erin Bakshis,
Jens Baumert,
Jingzhong Z. Ding,
Yongmei M. Liu,
Kristin Marciante,
Osorio Meirelles,
Michael A. Nalls,
Yan V. Sun
and other authors.
Abstract
Background: Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms. Methods: In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p