Literature DB >> 33633223

Whole-genome sequencing reveals KRTAP1-1 as a novel genetic variant associated with antidepressant treatment outcomes.

Jong-Ho Park1,2, Shinn-Won Lim1, Woojae Myung3, Inho Park4, Hyeok-Jae Jang1, Seonwoo Kim5, Min-Soo Lee6, Hun Soo Chang7, DongHo Yum8, Yeon-Lim Suh8, Jong-Won Kim9,10, Doh Kwan Kim11.   

Abstract

Achieving remission following initial antidepressant therapy in patients with major depressive disorder (MDD) is an important clinical result. Making predictions based on genetic markers holds promise for improving the remission rate. However, genetic variants found in previous genetic studies do not provide robust evidence to aid pharmacogenetic decision-making in clinical settings. Thus, the objective of this study was to perform whole-genome sequencing (WGS) using genomic DNA to identify genetic variants associated with the treatment outcomes of selective serotonin reuptake inhibitors (SSRIs). We performed WGS on 100 patients with MDD who were treated with escitalopram (discovery set: 36 remitted and 64 non-remitted). The findings were applied to an additional 553 patients with MDD who were treated with SSRIs (replication set: 185 remitted and 368 non-remitted). A novel loss-of-function variant (rs3213755) in keratin-associated protein 1-1 (KRTAP1-1) was identified in this study. This rs3213755 variant was significantly associated with remission following antidepressant treatment (p = 0.0184, OR 3.09, 95% confidence interval [CI] 1.22-7.80 in the discovery set; p = 0.00269, OR 1.75, 95% CI 1.22-2.53 in the replication set). Moreover, the expression level of KRTAP1-1 in surgically resected human temporal lobe samples was significantly associated with the rs3213755 genotype. WGS studies on a larger sample size in various ethnic groups are needed to investigate genetic markers useful in the pharmacogenetic prediction of remission following antidepressant treatment.

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Year:  2021        PMID: 33633223      PMCID: PMC7907209          DOI: 10.1038/s41598-021-83887-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  53 in total

1.  A genome-wide association study of antidepressant response in Koreans.

Authors:  W Myung; J Kim; S-W Lim; S Shim; H-H Won; Seonwoo Kim; Sangha Kim; M-S Lee; H S Chang; J-W Kim; B J Carroll; D K Kim
Journal:  Transl Psychiatry       Date:  2015-11-03       Impact factor: 6.222

2.  Benefits from antidepressants: synthesis of 6-week patient-level outcomes from double-blind placebo-controlled randomized trials of fluoxetine and venlafaxine.

Authors:  Robert D Gibbons; Kwan Hur; C Hendricks Brown; John M Davis; J John Mann
Journal:  Arch Gen Psychiatry       Date:  2012-06

3.  Contribution of common genetic variants to antidepressant response.

Authors:  Katherine E Tansey; Michel Guipponi; Xiaolan Hu; Enrico Domenici; Glyn Lewis; Alain Malafosse; Jens R Wendland; Cathryn M Lewis; Peter McGuffin; Rudolf Uher
Journal:  Biol Psychiatry       Date:  2012-12-11       Impact factor: 13.382

Review 4.  Review and meta-analysis of antidepressant pharmacogenetic findings in major depressive disorder.

Authors:  M Kato; A Serretti
Journal:  Mol Psychiatry       Date:  2008-11-04       Impact factor: 15.992

5.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.

Authors:  Kai Wang; Mingyao Li; Hakon Hakonarson
Journal:  Nucleic Acids Res       Date:  2010-07-03       Impact factor: 16.971

6.  Clinical characteristics and treatment outcome in a representative sample of depressed inpatients - findings from the Munich Antidepressant Response Signature (MARS) project.

Authors:  Johannes M Hennings; Toshimi Owashi; Elisabeth B Binder; Sonja Horstmann; Andreas Menke; Stefan Kloiber; Tatjana Dose; Bastian Wollweber; Derek Spieler; Thomas Messer; Rita Lutz; Heike Künzel; Thomas Bierner; Thomas Pollmächer; Hildegard Pfister; Thomas Nickel; Annette Sonntag; Manfred Uhr; Marcus Ising; Florian Holsboer; Susanne Lucae
Journal:  J Psychiatr Res       Date:  2008-06-30       Impact factor: 4.791

7.  Brain-derived neurotrophic factor (BDNF) and neurotrophin 3 (NT3) levels in post-mortem brain tissue from patients with depression compared to healthy individuals - a proof of concept study.

Authors:  A Sheldrick; S Camara; M Ilieva; P Riederer; T M Michel
Journal:  Eur Psychiatry       Date:  2017-07-11       Impact factor: 5.361

8.  Second-generation PLINK: rising to the challenge of larger and richer datasets.

Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

9.  The mutational constraint spectrum quantified from variation in 141,456 humans.

Authors:  Konrad J Karczewski; Laurent C Francioli; Grace Tiao; Beryl B Cummings; Jessica Alföldi; Qingbo Wang; Ryan L Collins; Kristen M Laricchia; Andrea Ganna; Daniel P Birnbaum; Laura D Gauthier; Harrison Brand; Matthew Solomonson; Nicholas A Watts; Daniel Rhodes; Moriel Singer-Berk; Eleina M England; Eleanor G Seaby; Jack A Kosmicki; Raymond K Walters; Katherine Tashman; Yossi Farjoun; Eric Banks; Timothy Poterba; Arcturus Wang; Cotton Seed; Nicola Whiffin; Jessica X Chong; Kaitlin E Samocha; Emma Pierce-Hoffman; Zachary Zappala; Anne H O'Donnell-Luria; Eric Vallabh Minikel; Ben Weisburd; Monkol Lek; James S Ware; Christopher Vittal; Irina M Armean; Louis Bergelson; Kristian Cibulskis; Kristen M Connolly; Miguel Covarrubias; Stacey Donnelly; Steven Ferriera; Stacey Gabriel; Jeff Gentry; Namrata Gupta; Thibault Jeandet; Diane Kaplan; Christopher Llanwarne; Ruchi Munshi; Sam Novod; Nikelle Petrillo; David Roazen; Valentin Ruano-Rubio; Andrea Saltzman; Molly Schleicher; Jose Soto; Kathleen Tibbetts; Charlotte Tolonen; Gordon Wade; Michael E Talkowski; Benjamin M Neale; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2020-05-27       Impact factor: 69.504

Review 10.  Genetics and major depressive disorder: clinical implications for disease risk, prognosis and treatment.

Authors:  Chiara Fabbri; Stuart Montgomery; Cathryn M Lewis; Alessandro Serretti
Journal:  Int Clin Psychopharmacol       Date:  2020-09       Impact factor: 2.023

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