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Meta-Analysis
. 2022 Apr 1;91(7):626-636.
doi: 10.1016/j.biopsych.2021.09.020. Epub 2021 Sep 28.

Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information

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

Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information

Adam X Maihofer et al. Biol Psychiatry. .

Erratum in

  • Erratum.
    [No authors listed] [No authors listed] Biol Psychiatry. 2022 Apr 1;91(7):690. doi: 10.1016/j.biopsych.2022.02.001. Biol Psychiatry. 2022. PMID: 35272769 No abstract available.

Abstract

Background: Posttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype measurement and incorporation of lifetime trauma exposure (LTE) information could enhance the discovery power of PTSD genome-wide association studies (GWASs).

Methods: A GWAS on PTSD symptoms was performed in 51 cohorts followed by a fixed-effects meta-analysis (N = 182,199 European ancestry participants). A GWAS of LTE burden was performed in the UK Biobank cohort (N = 132,988). Genetic correlations were evaluated with linkage disequilibrium score regression. Multivariate analysis was performed using Multi-Trait Analysis of GWAS. Functional mapping and annotation of leading loci was performed with FUMA. Replication was evaluated using the Million Veteran Program GWAS of PTSD total symptoms.

Results: GWASs of PTSD symptoms and LTE burden identified 5 and 6 independent genome-wide significant loci, respectively. There was a 72% genetic correlation between PTSD and LTE. PTSD and LTE showed largely similar patterns of genetic correlation with other traits, albeit with some distinctions. Adjusting PTSD for LTE reduced PTSD heritability by 31%. Multivariate analysis of PTSD and LTE increased the effective sample size of the PTSD GWAS by 20% and identified 4 additional loci. Four of these 9 PTSD loci were independently replicated in the Million Veteran Program.

Conclusions: Through using a quantitative trait measure of PTSD, we identified novel risk loci not previously identified using prior case-control analyses. PTSD and LTE have a high genetic overlap that can be leveraged to increase discovery power through multivariate methods.

Keywords: GWAS; Genetics; Heritability; PTSD; PheWAS; Trauma.

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Figures

Figure 1.
Figure 1.
Manhattan plots of genome-wide association study (GWAS) associations. The x-axis is the position on the genome, ordered by chromosome and base-pair position. The y-axis is the −log10 p value of association. Each dot represents the association between a given single nucleotide polymorphism and the trait. Colors alternate between chromosomes, with odd chromosomes colored blue and even chromosomes colored teal. (A) Results of posttraumatic stress disorder GWASs. (B) Results of lifetime trauma exposure GWASs. (C) Posttraumatic stress disorder–specific results of MTAG (Multi-Trait Analysis of GWAS) analysis of posttraumatic stress disorder and lifetime trauma exposure.
Figure 2.
Figure 2.
Comparison of the genetic correlations of posttraumatic stress disorder (PTSD) and lifetime trauma exposure (LTE) with other traits. The x-axis is the genetic correlation between LTE and a given trait from the LD Hub. The y-axis is the genetic correlation between PTSD and a given trait. Each dot depicts a given trait. Colored (black, red, or blue) dots indicate traits with significant genetic correlation to both PTSD and LTE after Bonferroni adjustment. Noncolored (gray) dots indicate traits where genetic correlation is not significant after Bonferroni adjustment. Blue dots indicate traits with significantly higher genetic correlation with PTSD than with LTE. Red dots indicate traits with significantly higher correlation with LTE than with PTSD. The top 5 traits with a significantly higher correlation to PTSD than LTE and top trait with significantly higher correlation to LTE than PTSD have been labeled.

Comment in

References

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