DNA Methylation Signatures of Depressive Symptoms in Middle-aged and Elderly Persons
Author(s) -
O. Jovanova,
Ivaedeljković,
Derek Spieler,
Rosie M. Walker,
Chunyu Liu,
Michelle Luciano,
Jan Bressler,
Jennifer A. Brody,
Amanda J. Drake,
Kathryn L. Evans,
Rahul Gondalia,
Sonja Kunze,
Brigitte Kühnel,
Jari Lahti,
Rozenn N. Lemaître,
Riccardo E. Marioni,
Brenton R. Swenson,
Jayandra J. Himali,
Hongsheng Wu,
Yun Li,
Allan F. McRae,
Tom C. Russ,
James D. Stewart,
Zhiying Wang,
Guosheng Zhang,
KarlHeinz Ladwig,
André G. Uitterlinden,
Xiuqing Guo,
Annette Peters,
Katri Räikkönen,
John M. Starr,
Mélanie Waldenberger,
Naomi R. Wray,
Eric A. Whitsel,
a Sotoodehnia,
Sudha Seshadri,
David J. Porteous,
Joyce B. J. van Meurs,
Thomas H. Mosley,
Andrew M. McIntosh,
Michael Mendelson,
Daniel Levy,
Lifang Hou,
Johan G. Eriksson,
Myriam Fornage,
Ian J. Deary,
Andrea Baccarelli,
Henning Tiemeier,
Najaf Amin
Publication year - 2018
Publication title -
jama psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.531
H-Index - 365
eISSN - 2168-6238
pISSN - 2168-622X
DOI - 10.1001/jamapsychiatry.2018.1725
Subject(s) - epigenome , dna methylation , depression (economics) , methylation , depressive symptoms , population , genetics , gene , biology , medicine , psychiatry , cognition , gene expression , macroeconomics , environmental health , economics
Depressive disorders arise from a combination of genetic and environmental risk factors. Epigenetic disruption provides a plausible mechanism through which gene-environment interactions lead to depression. Large-scale, epigenome-wide studies on depression are missing, hampering the identification of potentially modifiable biomarkers.
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