Identification of risk loci for postpartum depression in a genome-wide association study.
genome‐wide association study
meta‐analysis
pathway analyses
perinatal women
postpartum depression
Journal
Psychiatry and clinical neurosciences
ISSN: 1440-1819
Titre abrégé: Psychiatry Clin Neurosci
Pays: Australia
ID NLM: 9513551
Informations de publication
Date de publication:
17 Sep 2024
17 Sep 2024
Historique:
revised:
30
07
2024
received:
21
05
2024
accepted:
06
08
2024
medline:
17
9
2024
pubmed:
17
9
2024
entrez:
17
9
2024
Statut:
aheadofprint
Résumé
Genome-wide association studies (GWAS) of postpartum depression (PPD) based on accumulated cohorts with multiple ethnic backgrounds have failed to identify significantly associated loci. Herein, we conducted a GWAS of Japanese perinatal women along with detailed confounding information to uncover PPD-associated loci. The first and second cohorts (n = 9260 and n = 8582 perinatal women enrolled in the Tohoku Medical Megabank Project) and the third cohort (n = 997), recruited at Nagoya University, underwent genotyping. Of them, 1421, 1264, and 225 were classified as PPD based on the Edinburgh Postnatal Depression Scale 1 month after delivery. The most influential confounding factors of genetic liability to PPD were selected, and logistic regression analyses were performed to evaluate genetic associations with PPD after adjusting for confounders. A meta-analysis of GWAS results from the three cohorts identified significant associations between PPD and the following loci (P < 5 × 10 The current GWAS study identified eight loci significantly associated with PPD, which may clarify the genetic structure underlying its pathogenesis.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : the Japan Agency for Medical Research and Development (AMED), the Strategic Research Program for Brain Sciences
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan, the Tohoku Medical Megabank Project
Informations de copyright
© 2024 The Author(s). Psychiatry and Clinical Neurosciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Psychiatry and Neurology.
Références
Abadiga M. Magnitude and associated factors of postpartum depression among women in Nekemte town, east Wollega zone, west Ethiopia, 2019: A community‐based study. PLoS One 2019; 14: e0224792.
Kikuchi S, Murakami K, Obara T et al. One‐year trajectories of postpartum depressive symptoms and associated psychosocial factors: Findings from the Tohoku medical megabank project birth and three‐generation cohort study. J. Affect. Disord. 2021; 295: 632–638.
Abebe A, Tesfaw G, Mulat H, Hibdye G, Yohannes K. Postpartum depression and associated factors among mothers in Bahir Dar town, Northwest Ethiopia. Ann. Gen. Psychiatry 2019; 18: 19.
Kikuchi S, Kobayashi N, Watanabe Z et al. The delivery of a placenta/fetus with high gonadal steroid production contributes to postpartum depressive symptoms. Depress. Anxiety 2021; 38: 422–430.
Payne JL, Maguire J. Pathophysiological mechanisms implicated in postpartum depression. Front. Neuroendocrinol. 2019; 52: 165–180.
Dennis CL, Ross LE, Herxheimer A. Oestrogens and progestins for preventing and treating postpartum depression. Cochrane Database Syst. Rev. 2008; 2008: Cd001690.
Li D, Li Y, Chen Y et al. Neuroprotection of reduced thyroid hormone with increased estrogen and progestogen in postpartum depression. Biosci. Rep. 2019; 39: BSR20182382.
Moses‐Kolko EL, Berga SL, Kalro B, Sit DK, Wisner KL. Transdermal estradiol for postpartum depression: A promising treatment option. Clin. Obstet. Gynecol. 2009; 52: 516–529.
Barak Y, Glue P. Progesterone loading as a strategy for treating postpartum depression. Hum. Psychopharmacol. 2020; 35: e2731.
Donadon MF, Martin‐Santos R, Osório FL. Oxytocin effects on the cognition of women with postpartum depression: A randomized, placebo‐controlled clinical trial. Prog. Neuropsychopharmacol. Biol. Psychiatry 2021; 111: 110098.
Zhu J, Jin J, Tang J. Oxytocin and women postpartum depression: A systematic review of randomized controlled trials. Neuropsychiatr. Dis. Treat. 2023; 19: 939–947.
Ono CT, Yu Z, Obara T et al. Association between low levels of anti‐inflammatory cytokines during pregnancy and postpartum depression. Psychiatry Clin. Neurosci. 2023; 77: 434–441.
Yu Z, Matsukawa N, Saigusa D et al. Plasma metabolic disturbances during pregnancy and postpartum in women with depression. iScience 2022; 25: 105666.
Deligiannidis KM, Fales CL, Kroll‐Desrosiers AR et al. Resting‐state functional connectivity, cortical GABA, and neuroactive steroids in peripartum and peripartum depressed women: A functional magnetic resonance imaging and spectroscopy study. Neuropsychopharmacology 2019; 44: 546–554.
Deligiannidis KM, Sikoglu EM, Shaffer SA et al. GABAergic neuroactive steroids and resting‐state functional connectivity in postpartum depression: A preliminary study. J. Psychiatr. Res. 2013; 47: 816–828.
Prévot T, Sibille E. Altered GABA‐mediated information processing and cognitive dysfunctions in depression and other brain disorders. Mol. Psychiatry 2021; 26: 151–167.
Hashimoto K, Sawa A, Iyo M. Increased levels of glutamate in brains from patients with mood disorders. Biol. Psychiatry 2007; 62: 1310–1316.
Sanacora G, Treccani G, Popoli M. Towards a glutamate hypothesis of depression: An emerging frontier of neuropsychopharmacology for mood disorders. Neuropharmacology 2012; 62: 63–77.
Comasco E, Sylvén SM, Papadopoulos FC, Oreland L, Sundström‐Poromaa I, Skalkidou A. Postpartum depressive symptoms and the BDNF Val66Met functional polymorphism: Effect of season of delivery. Arch. Womens Ment. Health 2011; 14: 453–463.
Figueira P, Malloy‐Diniz L, Campos SB et al. An association study between the Val66Met polymorphism of the BDNF gene and postpartum depression. Arch. Womens Ment. Health 2010; 13: 285–289.
Fasching PA, Faschingbauer F, Goecke TW et al. Genetic variants in the tryptophan hydroxylase 2 gene (TPH2) and depression during and after pregnancy. J. Psychiatr. Res. 2012; 46: 1109–1117.
Khabour O, Amarneh B, Bani Hani E, Lataifeh I. Associations between variations in TPH1, TPH2 and SLC6A4 genes and postpartum depression: A study in the Jordanian population. Balkan J. Med. Genet. 2013; 16: 41–48.
Amare AT, Vaez A, Hsu YH et al. Bivariate genome‐wide association analyses of the broad depression phenotype combined with major depressive disorder, bipolar disorder or schizophrenia reveal eight novel genetic loci for depression. Mol. Psychiatry 2020; 25: 1420–1429.
Thalamuthu A, Mills NT, Berger K et al. Genome‐wide interaction study with major depression identifies novel variants associated with cognitive function. Mol. Psychiatry 2022; 27: 1111–1119.
Meng X, Navoly G, Giannakopoulou O et al. Multi‐ancestry genome‐wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. Nat. Genet. 2024; 56: 222–233.
Wray NR, Ripke S, Mattheisen M et al. Genome‐wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nat. Genet. 2018; 50: 668–681.
Giannakopoulou O, Lin K, Meng X et al. The genetic architecture of depression in individuals of east Asian ancestry: A genome‐wide association study. JAMA Psychiatry 2021; 78: 1258–1269.
Howard DM, Adams MJ, Clarke TK et al. Genome‐wide meta‐analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat. Neurosci. 2019; 22: 343–352.
Adams JAM, Chandra P, Mehta D. The first large GWAS meta‐analysis for postpartum depression. Am. J. Psychiatry 2023; 180: 862–864.
Guintivano J, Byrne EM, Kiewa J et al. Meta‐analyses of genome‐wide association studies for postpartum depression. Am. J. Psychiatry 2023; 180: 884–895.
Viktorin A, Meltzer‐Brody S, Kuja‐Halkola R et al. Heritability of perinatal depression and genetic overlap with nonperinatal depression. Am. J. Psychiatry 2016; 173: 158–165.
Kuriyama S, Metoki H, Kikuya M et al. Cohort profile: Tohoku medical megabank project birth and three‐generation cohort study (TMM BirThree cohort study): Rationale, progress and perspective. Int. J. Epidemiol. 2020; 49: 18–19m.
Kuriyama S, Yaegashi N, Nagami F et al. The Tohoku medical megabank project: Design and Mission. J. Epidemiol. 2016; 26: 493–511.
Kawai Y, Mimori T, Kojima K et al. Japonica array: Improved genotype imputation by designing a population‐specific SNP array with 1070 Japanese individuals. J. Hum. Genet. 2015; 60: 581–587.
Sakurai‐Yageta M, Kumada K, Gocho C et al. Japonica Array NEO with increased genome‐wide coverage and abundant disease risk SNPs. J. Biochem. 2021; 170: 399–410.
Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ. Second‐generation PLINK: Rising to the challenge of larger and richer datasets. Gigascience 2015; 4: 7.
Delaneau O, Zagury JF, Marchini J. Improved whole‐chromosome phasing for disease and population genetic studies. Nat. Methods 2013; 10: 5–6.
O'Connell J, Gurdasani D, Delaneau O et al. A general approach for haplotype phasing across the full spectrum of relatedness. PLoS Genet. 2014; 10: e1004234.
Tadaka S, Katsuoka F, Ueki M et al. 3.5KJPNv2: An allele frequency panel of 3552 Japanese individuals including the X chromosome. Hum. Genome Var. 2019; 6: 28.
Cobat A, Abel L, Alcaïs A, Schurr E. A general efficient and flexible approach for genome‐wide association analyses of imputed genotypes in family‐based designs. Genet. Epidemiol. 2014; 38: 560–571.
Zheng HF, Rong JJ, Liu M et al. Performance of genotype imputation for low frequency and rare variants from the 1000 genomes. PLoS One 2015; 10: e0116487.
Bergink V, Kooistra L, Lambregtse‐van den Berg MP et al. Validation of the Edinburgh depression scale during pregnancy. J. Psychosom. Res. 2011; 70: 385–389.
Ishikawa N, Goto S, Murase S et al. Prospective study of maternal depressive symptomatology among Japanese women. J. Psychosom. Res. 2011; 71: 264–269.
Tachibana Y, Koizumi T, Takehara K et al. Antenatal risk factors of postpartum depression at 20 weeks gestation in a Japanese sample: Psychosocial perspectives from a cohort study in Tokyo. PLoS One 2015; 10: e0142410.
Alam MM, Haque T, Uddin KMR, Ahmed S, Islam MM, Hawlader MDH. The prevalence and determinants of postpartum depression (PPD) symptomatology among facility delivered mothers of Dhaka city. Asian J. Psychiatr. 2021; 62: 102673.
Beck CT. A meta‐analysis of predictors of postpartum depression. Nurs. Res. 1996; 45: 297–303.
Honjo K, Kimura T, Baba S et al. Association between family members and risk of postpartum depression in Japan: Does “who they live with” matter?‐the Japan environment and Children's study. Soc. Sci. Med. 2018; 217: 65–72.
Mundorf C, Shankar A, Moran T et al. Reducing the risk of postpartum depression in a low‐income community through a community health worker intervention. Matern. Child Health J. 2018; 22: 520–528.
Jiang L, Zheng Z, Qi T et al. A resource‐efficient tool for mixed model association analysis of large‐scale data. Nat. Genet. 2019; 51: 1749–1755.
Yang J, Lee SH, Goddard ME, Visscher PM. GCTA: A tool for genome‐wide complex trait analysis. Am. J. Hum. Genet. 2011; 88: 76–82.
Jiang L, Zheng Z, Fang H, Yang J. A generalized linear mixed model association tool for biobank‐scale data. Nat. Genet. 2021; 53: 1616–1621.
Willer CJ, Li Y, Abecasis GR. METAL: Fast and efficient meta‐analysis of genomewide association scans. Bioinformatics 2010; 26: 2190–2191.
Qiu F, Tang R, Zuo X et al. A genome‐wide association study identifies six novel risk loci for primary biliary cholangitis. Nat. Commun. 2017; 8: 14828.
El‐Husseini ZW, Gosens R, Dekker F, Koppelman GH. The genetics of asthma and the promise of genomics‐guided drug target discovery. Lancet Respir. Med. 2020; 8: 1045–1056.
Barton AR, Sherman MA, Mukamel RE, Loh PR. Whole‐exome imputation within UK biobank powers rare coding variant association and fine‐mapping analyses. Nat. Genet. 2021; 53: 1260–1269.
Huffman JE, Butler‐Laporte G, Khan A et al. Multi‐ancestry fine mapping implicates OAS1 splicing in risk of severe COVID‐19. Nat. Genet. 2022; 54: 125–127.
Hutchinson A, Asimit J, Wallace C. Fine‐mapping genetic associations. Hum. Mol. Genet. 2020; 29: R81–R88.
Kimbrel NA, Ashley‐Koch AE, Qin XJ et al. A genome‐wide association study of suicide attempts in the million veterans program identifies evidence of pan‐ancestry and ancestry‐specific risk loci. Mol. Psychiatry 2022; 27: 2264–2272.
Lundberg SM, Lee S‐I. A unified approach to interpreting model predictions. In: Advances in Neural Information Processing Systems, Vol. 30. NeurIPS, La Jolla, CA, 2017.
Chen MH, Pan TL, Bai YM et al. Postpartum depression and psychosis and subsequent severe mental illnesses in mothers and neurodevelopmental disorders in children: A Nationwide study. J. Clin. Psychiatry 2021; 82: 20m13735.
Couto TC, Brancaglion MY, Alvim‐Soares A et al. Postpartum depression: A systematic review of the genetics involved. World J. Psychiatry 2015; 5: 103–111.
Güneş H, Tanıdır C, Doktur H et al. Prenatal, perinatal, postnatal risk factors, and excess screen time in autism spectrum disorder. Pediatr. Int. 2022; 65: e15383.
Milgrom J, Gemmill AW, Bilszta JL et al. Antenatal risk factors for postnatal depression: A large prospective study. J. Affect. Disord. 2008; 108: 147–157.
Pearlstein T, Howard M, Salisbury A, Zlotnick C. Postpartum depression. Am. J. Obstet. Gynecol. 2009; 200: 357–364.
Gunduz‐Bruce H, Takahashi K, Huang MY. Development of neuroactive steroids for the treatment of postpartum depression. J. Neuroendocrinol. 2022; 34: e13019.
Puyané M, Subirà S, Torres A, Roca A, Garcia‐Esteve L, Gelabert E. Personality traits as a risk factor for postpartum depression: A systematic review and meta‐analysis. J. Affect. Disord. 2022; 298: 577–589.
Silverman ME, Reichenberg A, Savitz DA et al. The risk factors for postpartum depression: A population‐based study. Depress. Anxiety 2017; 34: 178–187.
Kiewa J, Meltzer‐Brody S, Milgrom J et al. Perinatal depression is associated with a higher polygenic risk for major depressive disorder than non‐perinatal depression. Depress. Anxiety 2022; 39: 182–191.
Christaki V, Ismirnioglou I, Katrali A et al. Postpartum depression and ADHD in the offspring: Systematic review and meta‐analysis. J. Affect. Disord. 2022; 318: 314–330.
Grisbrook MA, Dewey D, Cuthbert C et al. Associations among caesarean section birth, post‐traumatic stress, and postpartum depression symptoms. Int. J. Environ. Res. Public Health 2022; 19: 4900.
Khsim IEF, Rodríguez MM, Riquelme Gallego B, Caparros‐Gonzalez RA, Amezcua‐Prieto C. Risk factors for post‐traumatic stress disorder after childbirth: A systematic review. Diagnostics (Basel) 2022; 12: 2598.
Lyall F, Bulmer JN, Duffie E, Cousins F, Theriault A, Robson SC. Human trophoblast invasion and spiral artery transformation: The role of PECAM‐1 in normal pregnancy, preeclampsia, and fetal growth restriction. Am. J. Pathol. 2001; 158: 1713–1721.
Perez J, Tardito D, Racagni G, Smeraldi E, Zanardi R. cAMP signaling pathway in depressed patients with psychotic features. Mol. Psychiatry 2002; 7: 208–212.
Wang Y, Cheng Q, Xia Z et al. Whole‐transcriptome sequencing identifies key mRNAs, miRNAs, lncRNAs, and circRNAs associated with unexplained recurrent pregnancy loss. Cell Tissue Res. 2022; 389: 129–143.
Fatima M, Srivastav S, Mondal AC. Prenatal stress and depression associated neuronal development in neonates. Int. J. Dev. Neurosci. 2017; 60: 1–7.
Lasisi TJ, Ugwuadu PN. Pregnancy related changes in human salivary secretion and composition in a Nigerian population. Afr. J. Med. Med. Sci. 2014; 43: 347–351.
Smith KR, Kopeikina KJ, Fawcett‐Patel JM et al. Psychiatric risk factor ANK3/ankyrin‐G nanodomains regulate the structure and function of glutamatergic synapses. Neuron 2014; 84: 399–415.
Ghuman A, McEwen A, Tran KH et al. Prospective investigation of glutamate levels and percentage gray matter in the medial prefrontal cortex in females at risk for postpartum depression. Curr. Neuropharmacol. 2022; 20: 1988–2000.
Zernov N, Skoblov M, Baranova A, Boyarsky K. Mutations in gonadotropin‐releasing hormone signaling pathway in two nIHH patients with successful pregnancy outcomes. Reprod. Biol. Endocrinol. 2016; 14: 48.
Wang T, Shi C, Li X et al. Injection of oxytocin into paraventricular nucleus reverses depressive‐like behaviors in the postpartum depression rat model. Behav. Brain Res. 2018; 336: 236–243.