Genome-wide association studies on Northern Italy isolated populations provide further support concerning genetic susceptibility for major depressive disorder

被引:3
|
作者
Dattilo, Vincenzo [1 ]
Ulivi, Sheila [2 ]
Minelli, Alessandra [1 ,3 ]
La Bianca, Martina [2 ]
Giacopuzzi, Edoardo [4 ,5 ]
Bortolomasi, Marco [6 ]
Bignotti, Stefano [7 ]
Gennarelli, Massimo [1 ,3 ]
Gasparini, Paolo [2 ,8 ]
Concas, Maria Pina [2 ]
机构
[1] IRCCS Ist Ctr San Giovanni di Dio Fatebenefratell, Genet Unit, Brescia, Italy
[2] Inst Maternal & Child Hlth IRCCS Burlo Garofolo, Trieste, Italy
[3] Univ Brescia, Dept Mol & Translat Med, Brescia, Italy
[4] Univ Oxford, Wellcome Ctr Human Genet, Oxford, England
[5] NIHR Oxford Biomed Res Ctr, Oxford, England
[6] Psychiat Hosp Villa Santa Chiara, Verona, Italy
[7] IRCCS Ist Ctr San Giovanni di Dio Fatebenefratell, Unit Psychiat, Brescia, Italy
[8] Univ Trieste, Dept Med Surg & Hlth Sci, Trieste, Italy
关键词
Major depressive disorder; genetic isolates; genome-wide association study; KCNQ5; CTNNA2; RECESSIVE INTELLECTUAL DISABILITY; BETA-BINDING PROTEIN; ALPHA-N-CATENIN; POTASSIUM CHANNEL; BIPOLAR DISORDER; MESSENGER-RNA; MICE LACKING; CONTACTIN; DSM-IV; EXPRESSION;
D O I
10.1080/15622975.2022.2082523
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Objectives Major depressive disorder (MDD) is a psychiatric disorder with pathogenesis influenced by both genetic and environmental factors. To date, the molecular-level understanding of its aetiology remains unclear. Thus, we aimed to identify genetic variants and susceptibility genes for MDD with a genome-wide association study (GWAS) approach. Methods We performed a meta-analysis of GWASs and a gene-based analysis on two Northern Italy isolated populations (cases/controls n = 166/472 and 33/320), followed by replication and polygenic risk score (PRS) analyses in Italian independent samples (cases n = 464, controls n = 339). Results We identified two novel MDD-associated genes, KCNQ5 (lead SNP rs867262, p = 3.82 x 10(-9)) and CTNNA2 (rs6729523, p = 1.25 x 10(-8)). The gene-based analysis revealed another six genes (p < 2.703 x 10(-6)): GRM7, CTNT4, SNRK, SRGAP3, TRAPPC9, and FHIT. No replication of the genome-wide significant SNPs was found in the independent cohort, even if 14 SNPs around CTNNA2 showed association with MDD and related phenotypes at the nominal level of p (<0.05). Furthermore, the PRS model developed in the discovery cohort discriminated cases and controls in the replication cohort. Conclusions Our work suggests new possible genes associated with MDD, and the PRS analysis confirms the polygenic nature of this disorder. Future studies are required to better understand the role of these findings in MDD.
引用
收藏
页码:135 / 148
页数:14
相关论文
共 40 条
  • [21] Identifying genetic differences between bipolar disorder and major depression through multiple genome-wide association analyses
    Panagiotaropoulou, Georgia
    Hellberg, Kajsa-Lotta Georgii
    Coleman, Jonathan R. I.
    Seok, Darsol
    Kalman, Janos
    Mitchell, Philip B.
    Schofield, Peter R.
    Forstner, Andreas J.
    Bauer, Michael
    Scott, Laura J.
    Pato, Carlos N.
    Pato, Michele T.
    Li, Qingqin S.
    Kirov, George
    Landen, Mikael
    Jonsson, Lina
    Mueller-Myhsok, Bertram
    Smoller, Jordan W.
    Binder, Elisabeth B.
    Brueckl, Tanja M.
    Czamara, Darina
    Van der Auwera, Sandra
    Grabe, Hans J.
    Homuth, Georg
    Schmidt, Carsten O.
    Potash, James B.
    DePaulo, J. Raymond
    Goes, Fernando S.
    MacKinnon, Dean F.
    Mondimore, Francis M.
    Weissman, Myrna M.
    Shi, Jianxin
    Frye, Mark A.
    Biernacka, Joanna M.
    Reif, Andreas
    Witt, Stephanie H.
    Kahn, Rene R.
    Boks, Marco M.
    Owen, Michael J.
    Gordon-Smith, Katherine
    Mitchell, Brittany L.
    Martin, Nicholas G.
    Medland, Sarah E.
    Jones, Lisa
    Knowles, James A.
    Levinson, Douglas F.
    O'Donovan, Michael C.
    Lewis, Cathryn M.
    Breen, Gerome
    Werge, Thomas
    BRITISH JOURNAL OF PSYCHIATRY, 2025, : 79 - 90
  • [22] Multi-locus genome-wide association analysis supports the role of glutamatergic synaptic transmission in the etiology of major depressive disorder
    Lee, P. H.
    Perlis, R. H.
    Jung, J-Y
    Byrne, E. M.
    Rueckert, E.
    Siburian, R.
    Haddad, S.
    Mayerfeld, C. E.
    Heath, A. C.
    Pergadia, M. L.
    Madden, P. A. F.
    Boomsma, D. I.
    Penninx, B. W.
    Sklar, P.
    Martin, N. G.
    Wray, N. R.
    Purcell, S. M.
    Smoller, J. W.
    TRANSLATIONAL PSYCHIATRY, 2012, 2 : e184 - e184
  • [23] Multi-locus genome-wide association analysis supports the role of glutamatergic synaptic transmission in the etiology of major depressive disorder
    P H Lee
    R H Perlis
    J-Y Jung
    E M Byrne
    E Rueckert
    R Siburian
    S Haddad
    C E Mayerfeld
    A C Heath
    M L Pergadia
    P A F Madden
    D I Boomsma
    B W Penninx
    P Sklar
    N G Martin
    N R Wray
    S M Purcell
    J W Smoller
    Translational Psychiatry, 2012, 2 : e184 - e184
  • [24] Genetic susceptibility to SLE: new insights from fine mapping and genome-wide association studies
    Harley, Isaac T. W.
    Kaufman, Kenneth M.
    Langefeld, Carl D.
    Harley, John B.
    Kelly, Jennifer A.
    NATURE REVIEWS GENETICS, 2009, 10 (05) : 285 - 290
  • [25] Genome-wide association study of recurrent major depressive disorder in two European case-control cohorts
    Muglia, P.
    Tozzi, F.
    Galwey, N. W.
    Francks, C.
    Upmanyu, R.
    Kong, X. Q.
    Antoniades, A.
    Domenici, E.
    Perry, J.
    Rothen, S.
    Vandeleur, C. L.
    Mooser, V.
    Waeber, G.
    Vollenweider, P.
    Preisig, M.
    Lucae, S.
    Mueller-Myhsok, B.
    Holsboer, F.
    Middleton, L. T.
    Roses, A. D.
    MOLECULAR PSYCHIATRY, 2010, 15 (06) : 589 - 601
  • [26] Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK Biobank
    Howard, David M.
    Hall, Lynsey S.
    Hafferty, Jonathan D.
    Zeng, Yanni
    Adams, Mark J.
    Clarke, Toni-Kim
    Porteous, David J.
    Nagy, Reka
    Hayward, Caroline
    Smith, Blair H.
    Murray, Alison D.
    Ryan, Niamh M.
    Evans, Kathryn L.
    Haley, Chris S.
    Deary, Ian J.
    Thomson, Pippa A.
    McIntosh, Andrew M.
    TRANSLATIONAL PSYCHIATRY, 2017, 7
  • [27] Genome-wide Association for Major Depression Through Age at Onset Stratification: Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
    Power, Robert A.
    Tansey, Katherine E.
    Buttenschon, Henriette Normolle
    Cohen-Woods, Sarah
    Bigdeli, Tim
    Hall, Lynsey S.
    Kutalik, Zoltn
    Lee, S. Hong
    Ripke, Stephan
    Steinberg, Stacy
    Teumer, Alexander
    Viktorin, Alexander
    Wray, Naomi R.
    Arolt, Volker
    Baune, Bernard T.
    Boomsma, Dorret I.
    Borglum, Anders D.
    Byrne, Enda M.
    Castelao, Enrique
    Craddock, Nick
    Craig, Ian W.
    Dannlowski, Udo
    Deary, Ian J.
    Degenhardt, Franziska
    Forstner, Andreas J.
    Gordon, Scott D.
    Grabe, Hans J.
    Grove, Jakob
    Hamilton, Steven P.
    Hayward, Caroline
    Heath, Andrew C.
    Hocking, Lynne J.
    Homuth, Georg
    Hottenga, Jouke J.
    Kloiber, Stefan
    Krogh, Jesper
    Landen, Mikael
    Lang, Maren
    Levinson, Douglas F.
    Lichtenstein, Paul
    Lucae, Susanne
    MacIntyre, Donald J.
    Madden, Pamela
    Magnusson, Patrik K. E.
    Martin, Nicholas G.
    McIntosh, Andrew M.
    Middeldorp, Christel M.
    Milaneschi, Yuri
    Montgomery, Grant W.
    Mors, Ole
    BIOLOGICAL PSYCHIATRY, 2017, 81 (04) : 325 - 335
  • [28] Insights into the Genetic Susceptibility to Type 2 Diabetes from Genome-Wide Association Studies of Glycaemic Traits
    Marullo, Letizia
    Moustafa, Julia S. El-Sayed
    Prokopenko, Inga
    CURRENT DIABETES REPORTS, 2014, 14 (11) : 1 - 17
  • [29] Insights into the Genetic Susceptibility to Type 2 Diabetes from Genome-Wide Association Studies of Glycaemic Traits
    Letizia Marullo
    Julia S. El-Sayed Moustafa
    Inga Prokopenko
    Current Diabetes Reports, 2014, 14
  • [30] Genetic Polymorphism Predisposing to Differentiated Thyroid Cancer: A Review of Major Findings of the Genome-Wide Association Studies
    Saenko, Vladimir A.
    Rogounovitch, Tatiana I.
    ENDOCRINOLOGY AND METABOLISM, 2018, 33 (02) : 164 - 174