Unknown

Dataset Information

0

Genome-wide Association for Major Depression Through Age at Onset Stratification: Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium.


ABSTRACT: Major depressive disorder (MDD) is a disabling mood disorder, and despite a known heritable component, a large meta-analysis of genome-wide association studies revealed no replicable genetic risk variants. Given prior evidence of heterogeneity by age at onset in MDD, we tested whether genome-wide significant risk variants for MDD could be identified in cases subdivided by age at onset.Discovery case-control genome-wide association studies were performed where cases were stratified using increasing/decreasing age-at-onset cutoffs; significant single nucleotide polymorphisms were tested in nine independent replication samples, giving a total sample of 22,158 cases and 133,749 control subjects for subsetting. Polygenic score analysis was used to examine whether differences in shared genetic risk exists between earlier and adult-onset MDD with commonly comorbid disorders of schizophrenia, bipolar disorder, Alzheimer's disease, and coronary artery disease.We identified one replicated genome-wide significant locus associated with adult-onset (>27 years) MDD (rs7647854, odds ratio: 1.16, 95% confidence interval: 1.11-1.21, p = 5.2 × 10-11). Using polygenic score analyses, we show that earlier-onset MDD is genetically more similar to schizophrenia and bipolar disorder than adult-onset MDD.We demonstrate that using additional phenotype data previously collected by genetic studies to tackle phenotypic heterogeneity in MDD can successfully lead to the discovery of genetic risk factor despite reduced sample size. Furthermore, our results suggest that the genetic susceptibility to MDD differs between adult- and earlier-onset MDD, with earlier-onset cases having a greater genetic overlap with schizophrenia and bipolar disorder.

SUBMITTER: Power RA 

PROVIDER: S-EPMC5262436 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Genome-wide Association for Major Depression Through Age at Onset Stratification: Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium.

Power Robert A RA   Tansey Katherine E KE   Buttenschøn Henriette Nørmølle HN   Cohen-Woods Sarah S   Bigdeli Tim T   Hall Lynsey S LS   Kutalik Zoltán Z   Lee S Hong SH   Ripke Stephan S   Steinberg Stacy S   Teumer Alexander A   Viktorin Alexander A   Wray Naomi R NR   Arolt Volker V   Baune Bernard T BT   Boomsma Dorret I DI   Børglum Anders D AD   Byrne Enda M EM   Castelao Enrique E   Craddock Nick N   Craig Ian W IW   Dannlowski Udo U   Deary Ian J IJ   Degenhardt Franziska F   Forstner Andreas J AJ   Gordon Scott D SD   Grabe Hans J HJ   Grove Jakob J   Hamilton Steven P SP   Hayward Caroline C   Heath Andrew C AC   Hocking Lynne J LJ   Homuth Georg G   Hottenga Jouke J JJ   Kloiber Stefan S   Krogh Jesper J   Landén Mikael M   Lang Maren M   Levinson Douglas F DF   Lichtenstein Paul P   Lucae Susanne S   MacIntyre Donald J DJ   Madden Pamela P   Magnusson Patrik K E PKE   Martin Nicholas G NG   McIntosh Andrew M AM   Middeldorp Christel M CM   Milaneschi Yuri Y   Montgomery Grant W GW   Mors Ole O   Müller-Myhsok Bertram B   Nyholt Dale R DR   Oskarsson Hogni H   Owen Michael J MJ   Padmanabhan Sandosh S   Penninx Brenda W J H BWJH   Pergadia Michele L ML   Porteous David J DJ   Potash James B JB   Preisig Martin M   Rivera Margarita M   Shi Jianxin J   Shyn Stanley I SI   Sigurdsson Engilbert E   Smit Johannes H JH   Smith Blair H BH   Stefansson Hreinn H   Stefansson Kari K   Strohmaier Jana J   Sullivan Patrick F PF   Thomson Pippa P   Thorgeirsson Thorgeir E TE   Van der Auwera Sandra S   Weissman Myrna M MM   Breen Gerome G   Lewis Cathryn M CM  

Biological psychiatry 20160524 4


<h4>Background</h4>Major depressive disorder (MDD) is a disabling mood disorder, and despite a known heritable component, a large meta-analysis of genome-wide association studies revealed no replicable genetic risk variants. Given prior evidence of heterogeneity by age at onset in MDD, we tested whether genome-wide significant risk variants for MDD could be identified in cases subdivided by age at onset.<h4>Methods</h4>Discovery case-control genome-wide association studies were performed where c  ...[more]

Similar Datasets

| S-EPMC6565601 | biostudies-literature
| S-EPMC8589647 | biostudies-literature
| S-EPMC4879183 | biostudies-literature
| S-EPMC5444023 | biostudies-literature
| S-EPMC7425327 | biostudies-literature
| S-EPMC8297912 | biostudies-literature
| S-EPMC5862738 | biostudies-literature
2016-01-14 | E-GEOD-76826 | biostudies-arrayexpress
2016-01-14 | GSE76826 | GEO
| S-EPMC5161465 | biostudies-literature