Identification of risk loci for postpartum depression in a genome‐wide association study.
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| Title: | Identification of risk loci for postpartum depression in a genome‐wide association study. |
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| Authors: | Li, Xue (AUTHOR), Takahashi, Nagahide (AUTHOR), Narita, Akira (AUTHOR), Nakamura, Yukako (AUTHOR), Sakurai‐Yageta, Mika (AUTHOR), Murakami, Keiko (AUTHOR), Ishikuro, Mami (AUTHOR), Obara, Taku (AUTHOR), Kikuya, Masahiro (AUTHOR), Ueno, Fumihiko (AUTHOR), Metoki, Hirohito (AUTHOR), Ohseto, Hisashi (AUTHOR), Takahashi, Ippei (AUTHOR), Nakamura, Tomohiro (AUTHOR), Warita, Noriko (AUTHOR), Shoji, Tomoka (AUTHOR), Yu, Zhiqian (AUTHOR), Ono, Chiaki (AUTHOR), Kobayashi, Natsuko (AUTHOR), Kikuchi, Saya (AUTHOR) |
| Source: | Psychiatry & Clinical Neurosciences. Nov2024, Vol. 78 Issue 11, p712-720. 9p. |
| Subjects: | Edinburgh Postnatal Depression Scale, Postpartum depression, Logistic regression analysis, Japanese women, Depression in women |
| Abstract: | Aim: 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. Methods: 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. Results: A meta‐analysis of GWAS results from the three cohorts identified significant associations between PPD and the following loci (P < 5 × 10−8) by integrating the number of deliveries and the number of family members living together as the most influential confounders: rs377546683 at DAB1, rs11940752 near UGT8, rs141172317, rs117928019, rs76631412, rs118131805 at DOCK2, rs188907279 near ZNF572, rs504378, rs690150, rs491868, rs689917, rs474978, rs690118, rs690253 near DIRAS2, rs1435984417 at ZNF618, rs57705782 near PTPRM, and rs185293917 near PDGFB. Pathway analyses indicated that SNPs suggestively associated with PPD were mostly over‐represented in categories including long‐term depression, GnRH signaling, glutamatergic synapse, oxytocin signaling, and Rap1 signaling. Conclusion: The current GWAS study identified eight loci significantly associated with PPD, which may clarify the genetic structure underlying its pathogenesis. [ABSTRACT FROM AUTHOR] |
| Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 180656113 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identification of risk loci for postpartum depression in a genome‐wide association study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Xue%22">Li, Xue</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Takahashi%2C+Nagahide%22">Takahashi, Nagahide</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Narita%2C+Akira%22">Narita, Akira</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nakamura%2C+Yukako%22">Nakamura, Yukako</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sakurai‐Yageta%2C+Mika%22">Sakurai‐Yageta, Mika</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Murakami%2C+Keiko%22">Murakami, Keiko</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ishikuro%2C+Mami%22">Ishikuro, Mami</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Obara%2C+Taku%22">Obara, Taku</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kikuya%2C+Masahiro%22">Kikuya, Masahiro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ueno%2C+Fumihiko%22">Ueno, Fumihiko</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Metoki%2C+Hirohito%22">Metoki, Hirohito</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ohseto%2C+Hisashi%22">Ohseto, Hisashi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Takahashi%2C+Ippei%22">Takahashi, Ippei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nakamura%2C+Tomohiro%22">Nakamura, Tomohiro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Warita%2C+Noriko%22">Warita, Noriko</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shoji%2C+Tomoka%22">Shoji, Tomoka</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Zhiqian%22">Yu, Zhiqian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ono%2C+Chiaki%22">Ono, Chiaki</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kobayashi%2C+Natsuko%22">Kobayashi, Natsuko</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kikuchi%2C+Saya%22">Kikuchi, Saya</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Psychiatry+%26+Clinical+Neurosciences%22">Psychiatry & Clinical Neurosciences</searchLink>. Nov2024, Vol. 78 Issue 11, p712-720. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Edinburgh+Postnatal+Depression+Scale%22">Edinburgh Postnatal Depression Scale</searchLink><br /><searchLink fieldCode="DE" term="%22Postpartum+depression%22">Postpartum depression</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Japanese+women%22">Japanese women</searchLink><br /><searchLink fieldCode="DE" term="%22Depression+in+women%22">Depression in women</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Aim: 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. Methods: 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. Results: A meta‐analysis of GWAS results from the three cohorts identified significant associations between PPD and the following loci (P < 5 × 10−8) by integrating the number of deliveries and the number of family members living together as the most influential confounders: rs377546683 at DAB1, rs11940752 near UGT8, rs141172317, rs117928019, rs76631412, rs118131805 at DOCK2, rs188907279 near ZNF572, rs504378, rs690150, rs491868, rs689917, rs474978, rs690118, rs690253 near DIRAS2, rs1435984417 at ZNF618, rs57705782 near PTPRM, and rs185293917 near PDGFB. Pathway analyses indicated that SNPs suggestively associated with PPD were mostly over‐represented in categories including long‐term depression, GnRH signaling, glutamatergic synapse, oxytocin signaling, and Rap1 signaling. Conclusion: The current GWAS study identified eight loci significantly associated with PPD, which may clarify the genetic structure underlying its pathogenesis. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/pcn.13731 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 712 Subjects: – SubjectFull: Edinburgh Postnatal Depression Scale Type: general – SubjectFull: Postpartum depression Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Japanese women Type: general – SubjectFull: Depression in women Type: general Titles: – TitleFull: Identification of risk loci for postpartum depression in a genome‐wide association study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Xue – PersonEntity: Name: NameFull: Takahashi, Nagahide – PersonEntity: Name: NameFull: Narita, Akira – PersonEntity: Name: NameFull: Nakamura, Yukako – PersonEntity: Name: NameFull: Sakurai‐Yageta, Mika – PersonEntity: Name: NameFull: Murakami, Keiko – PersonEntity: Name: NameFull: Ishikuro, Mami – PersonEntity: Name: NameFull: Obara, Taku – PersonEntity: Name: NameFull: Kikuya, Masahiro – PersonEntity: Name: NameFull: Ueno, Fumihiko – PersonEntity: Name: NameFull: Metoki, Hirohito – PersonEntity: Name: NameFull: Ohseto, Hisashi – PersonEntity: Name: NameFull: Takahashi, Ippei – PersonEntity: Name: NameFull: Nakamura, Tomohiro – PersonEntity: Name: NameFull: Warita, Noriko – PersonEntity: Name: NameFull: Shoji, Tomoka – PersonEntity: Name: NameFull: Yu, Zhiqian – PersonEntity: Name: NameFull: Ono, Chiaki – PersonEntity: Name: NameFull: Kobayashi, Natsuko – PersonEntity: Name: NameFull: Kikuchi, Saya IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13231316 Numbering: – Type: volume Value: 78 – Type: issue Value: 11 Titles: – TitleFull: Psychiatry & Clinical Neurosciences Type: main |
| ResultId | 1 |