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Meta-Analysis
. 2019 Oct 8;10(1):4558.
doi: 10.1038/s41467-019-12576-w.

International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci

Caroline M Nievergelt  1   2   3 Adam X Maihofer  4   5   6 Torsten Klengel  7   8   9 Elizabeth G Atkinson  10   11 Chia-Yen Chen  10   11   12 Karmel W Choi  10   13   14 Jonathan R I Coleman  15   16 Shareefa Dalvie  17 Laramie E Duncan  18 Joel Gelernter  19   20   21 Daniel F Levey  21   22 Mark W Logue  23 Renato Polimanti  21   22 Allison C Provost  24 Andrew Ratanatharathorn  14 Murray B Stein  4   25   26 Katy Torres  4   5   6 Allison E Aiello  27 Lynn M Almli  28 Ananda B Amstadter  29 Søren B Andersen  30 Ole A Andreassen  31 Paul A Arbisi  32 Allison E Ashley-Koch  33 S Bryn Austin  7   34   35   36 Esmina Avdibegovic  37 Dragan Babić  38 Marie Bækvad-Hansen  39   40 Dewleen G Baker  4   5   26 Jean C Beckham  41   42   43 Laura J Bierut  44 Jonathan I Bisson  45 Marco P Boks  46 Elizabeth A Bolger  7   8 Anders D Børglum  40   47   48 Bekh Bradley  28   49 Megan Brashear  50 Gerome Breen  15   16 Richard A Bryant  51 Angela C Bustamante  52 Jonas Bybjerg-Grauholm  39   40 Joseph R Calabrese  53 José M Caldas-de-Almeida  54 Anders M Dale  55 Mark J Daly  12 Nikolaos P Daskalakis  7   8   24   56 Jürgen Deckert  57 Douglas L Delahanty  58   59 Michelle F Dennis  41   42   43 Seth G Disner  60 Katharina Domschke  61   62 Alma Dzubur-Kulenovic  63 Christopher R Erbes  64   65 Alexandra Evans  66 Lindsay A Farrer  67 Norah C Feeny  68 Janine D Flory  56 David Forbes  69 Carol E Franz  4 Sandro Galea  70 Melanie E Garrett  42 Bizu Gelaye  14 Elbert Geuze  71   72 Charles Gillespie  28 Aferdita Goci Uka  73 Scott D Gordon  74 Guia Guffanti  7   8 Rasha Hammamieh  75 Supriya Harnal  10 Michael A Hauser  42 Andrew C Heath  76 Sian M J Hemmings  77 David Michael Hougaard  39   40 Miro Jakovljevic  78 Marti Jett  75 Eric Otto Johnson  79 Ian Jones  66 Tanja Jovanovic  28 Xue-Jun Qin  33 Angela G Junglen  58 Karen-Inge Karstoft  30   80 Milissa L Kaufman  7   8 Ronald C Kessler  7 Alaptagin Khan  8   81 Nathan A Kimbrel  33   41   43 Anthony P King  82 Nastassja Koen  17 Henry R Kranzler  83   84 William S Kremen  4   5 Bruce R Lawford  85   86 Lauren A M Lebois  7   8 Catrin E Lewis  66 Sarah D Linnstaedt  87 Adriana Lori  88 Bozo Lugonja  66 Jurjen J Luykx  46   72 Michael J Lyons  89 Jessica Maples-Keller  28 Charles Marmar  90 Alicia R Martin  10   11 Nicholas G Martin  74 Douglas Maurer  91 Matig R Mavissakalian  53 Alexander McFarlane  92 Regina E McGlinchey  93 Katie A McLaughlin  94 Samuel A McLean  87   95 Sarah McLeay  96 Divya Mehta  85   97 William P Milberg  93 Mark W Miller  23 Rajendra A Morey  33 Charles Phillip Morris  85   86 Ole Mors  40   98 Preben B Mortensen  40   47   99   100 Benjamin M Neale  10   11 Elliot C Nelson  44 Merete Nordentoft  40   101 Sonya B Norman  4   102   103 Meaghan O'Donnell  69 Holly K Orcutt  104 Matthew S Panizzon  4 Edward S Peters  50 Alan L Peterson  105 Matthew Peverill  106 Robert H Pietrzak  22   107 Melissa A Polusny  64   108   109 John P Rice  44 Stephan Ripke  10   12   110 Victoria B Risbrough  4   5   6 Andrea L Roberts  111 Alex O Rothbaum  68 Barbara O Rothbaum  28 Peter Roy-Byrne  106 Ken Ruggiero  112 Ariane Rung  50 Bart P F Rutten  113 Nancy L Saccone  44 Sixto E Sanchez  114 Dick Schijven  46   72 Soraya Seedat  77 Antonia V Seligowski  7   8 Julia S Seng  115 Christina M Sheerin  29 Derrick Silove  116 Alicia K Smith  28   88 Jordan W Smoller  10   11   13 Scott R Sponheim  32   64 Dan J Stein  17 Jennifer S Stevens  28 Jennifer A Sumner  117 Martin H Teicher  7   8 Wesley K Thompson  4   40   118   119 Edward Trapido  50 Monica Uddin  120 Robert J Ursano  121 Leigh Luella van den Heuvel  77 Miranda Van Hooff  92 Eric Vermetten  90   122   123   124 Christiaan H Vinkers  125   126 Joanne Voisey  85   86 Yunpeng Wang  40   118   119 Zhewu Wang  127   128 Thomas Werge  40   118   129 Michelle A Williams  14 Douglas E Williamson  41   42 Sherry Winternitz  7   8 Christiane Wolf  57 Erika J Wolf  23 Jonathan D Wolff  8 Rachel Yehuda  56   130 Ross McD Young  85   97 Keith A Young  131   132 Hongyu Zhao  133 Lori A Zoellner  134 Israel Liberzon  82 Kerry J Ressler  7   8   28 Magali Haas  24 Karestan C Koenen  10   12   135
Affiliations
Meta-Analysis

International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci

Caroline M Nievergelt et al. Nat Commun. .

Abstract

The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common variants have yet to be identified. In a multi-ethnic cohort including over 30,000 PTSD cases and 170,000 controls we conduct a genome-wide association study of PTSD. We demonstrate SNP-based heritability estimates of 5-20%, varying by sex. Three genome-wide significant loci are identified, 2 in European and 1 in African-ancestry analyses. Analyses stratified by sex implicate 3 additional loci in men. Along with other novel genes and non-coding RNAs, a Parkinson's disease gene involved in dopamine regulation, PARK2, is associated with PTSD. Finally, we demonstrate that polygenic risk for PTSD is significantly predictive of re-experiencing symptoms in the Million Veteran Program dataset, although specific loci did not replicate. These results demonstrate the role of genetic variation in the biology of risk for PTSD and highlight the necessity of conducting sex-stratified analyses and expanding GWAS beyond European ancestry populations.

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Conflict of interest statement

L.J.B., J.P.R., and the spouse of N.L.S. are listed as inventors on Issued U.S. Patent 8,080,371, “Markers for Addiction,” covering the use of certain SNPs in determining the diagnosis, prognosis, and treatment of addiction. A.M.D. is a Founder of and holds equity in CorTechs Labs, Inc, and serves on its Scientific Advisory Board. He is a member of the Scientific Advisory Board of Human Longevity, Inc. and receives funding through research agreements with General Electric Healthcare and Medtronic, Inc. The terms of these arrangements have been reviewed and approved by UCSD in accordance with its conflict of interest policies. M.H. and A.C.P. are both employees of CVB, a Sponsor (non-profit) of the study. In the past 3 years, R.C.K. received support for his epidemiological studies from Sanofi Aventis; was a consultant for Johnson & Johnson Wellness and Prevention, Sage Pharmaceuticals, Shire, Takeda; and served on an advisory board for the Johnson & Johnson Services Inc. Lake Nona Life Project. Kessler is a co-owner of DataStat, Inc., a market research firm that carries out healthcare research. H.R.K. is a member of the American Society of Clinical Psychopharmacology’s Alcohol Clinical Trials Initiative (ACTIVE), which in the last three years was supported by AbbVie, Alkermes, Amygdala Neurosciences, Arbor, Ethypharm, Indivior, Lilly, Lundbeck, Otsuka, and Pfizer. He is also named as an inventor on PCT patent application #15/878,640 entitled: “Genotype-guided dosing of opioid agonists,” filed January 24, 2018. B.M.N. is a member, Scientific Advisory Board of Deep Genomics, a consultant for Camp4 Therapeutics Corporation, Merck & Co. and Avanir Pharmaceuticals, Inc. B.O.R. owns equity in Virtually Better, Inc. that creates virtual reality products. The terms of this arrangement have been reviewed and approved by Emory University in accordance with its conflict of interest policies. In the past 3 years, D.J.S. has received research grants and/or consultancy honoraria from Biocodex, Ludbeck, Servier, and Sun. M.B.S. has in the past three years been a consultant for Actelion, Aptinyx, Bionomics, Dart Neuroscience, Healthcare Management Technologies, Janssen, Neurocrine Biosciences, Oxeia Biopharmaceuticals, Pfizer, and Resilience Therapeutics. R.Y. is a co-inventor of the following patent application: “Genes associated with post-traumatic-stress disorder. European Patent# EP 2334816 B1”. T.W. has acted as scientific advisor to H. Lundbeck A/S. All remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Manhattan plots from meta-analyses of PTSD GWAS, showing the top variants in six independent genome-wide significant loci. Results are shown for subjects of European (EUA; a) and African ancestry (AFA; c), and for sex-stratified analyses in EUA men (b) and AFA men (d), respectively. Sex-stratified analyses for women were not significant (Supplementary Fig. 4). The red line represents genome-wide significance at P < 5 × 10−8. Note: rs148757321 and rs142174523 do not remain significant after Bonferroni-adjustment for sex-stratified analyses (at P < 1.67 × 10−8)
Fig. 2
Fig. 2
Genetic risk score (PRS) predictions for PTSD. a Using PTSD subjects from the UK Biobank (UKB) as discovery sample, odds ratios (OR) for PTSD per PRS quintile relative to the first quintile show a significant increase in different PGC PTSD target samples. For example, UKB men in the 5th quintile have 40% higher odds to develop PTSD than UKB men in the lowest quintile, when using women from the same population as a training set. b PRS predictions of re-experiencing symptoms in the external replication cohort from the Million Veteran Program (MVP) using the overall PGC2 as discovery sample show a highly significant increase in PTSD re-experiencing symptoms per PRS quintile. Sample sizes in different training and target sets include: UKB women: 6845 PTSD, 64,099 controls; UKB men: 3,544 PTSD, 51,700 controls; UKB: 10,389 PTSD, 115,799 controls; PGC1.5: 10,213 PTSD, 27,445 controls; PGC2: 23,212 PTSD, 151,447 controls; MVP: 146,660 participants with re-experiencing symptoms assessments. Analyses include only subjects of European ancestry
Fig. 3
Fig. 3
Commonality of genetic correlations between PTSD and other psychiatric disorders and traits with GWAS summary statistics on LD Hub. Psychiatric traits include a PTSD, b MDD, c SCZ, d BPD and e ADHD and their genetic correlations with traits from psychiatric, anthropomorphic, smoking behavior, reproductive, aging, education, autoimmune and cardiometabolic categories. Only traits with at least one significant correlation with the 5 psychiatric disorders are shown. Error bars indicate 95% confidence limits. Solid points indicate significant correlation after Bonferroni correction. The total number of correlations tested were 235 for PTSD, 221 for MDD, 172 for SCZ, 196 for BPD and 219 for ADHD

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