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  Genetics of age-at-onset in major depression

Harder, A., Nguyen, T.-D., Pasman, J. A., Mosing, M. A., Hägg, S., & Lu, Y. (2022). Genetics of age-at-onset in major depression. Translational Psychiatry, 12: 124. doi:10.1038/s41398-022-01888-z.

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kog-22-mos-01-genetics.pdf (Verlagsversion), 859KB
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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder

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Harder, Arvid1, Autor
Nguyen, Thuy-Dung1, 2, Autor
Pasman, Joëlle A.1, Autor
Mosing, Miriam A.1, 3, 4, Autor                 
Hägg, Sara1, Autor
Lu, Yi1, 2, Autor
Affiliations:
1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, ou_persistent22              
2Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden, ou_persistent22              
3Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_3351901              
4Melbourne School of Psychological Sciences, Faculty for Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia, ou_persistent22              

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 Zusammenfassung: Major depression (MD) is a complex, heterogeneous neuropsychiatric disorder. An early age at onset of major depression (AAO-MD) has been associated with more severe illness, psychosis, and suicidality. However, not much is known about what contributes to individual variation in this important clinical characteristic. This study sought to investigate the genetic components underlying AAO-MD. To investigate the genetics of AAO-MD, we conducted a genome-wide association meta-analysis of AAO-MD based on self-reported age of symptoms onset and self-reported age at first diagnosis from the UK Biobank cohort (total N = 94,154). We examined the genetic relationship between AAO-MD and five other psychiatric disorders. Polygenic risk scores were derived to examine their association with five psychiatric outcomes and AAO-MD in independent sub-samples. We found a small but significant SNP-heritability (~6%) for the AAO-MD phenotype. No SNP or gene reached SNP or gene-level significance. We found evidence that AAO-MD has genetic overlap with MD risk (rg = −0.49). Similarly, we found shared genetic risks between AAO-MD and autism-spectrum disorder, schizophrenia, bipolar disorder, and anorexia nervosa (rg range: −0.3 to −0.5). Polygenic risk scores for AAO-MD were associated with MD, schizophrenia, and bipolar disorder, and AAO-MD was in turn associated with polygenic risk scores derived from these disorders. Overall, our results indicate that AAO-MD is heritable, and there is an inverse genetic relationship between AAO-MD and both major depression and other psychiatric disorders, meaning that SNPs associated with earlier age at onset tend to increase the risk for psychiatric disorders. These findings suggest that the genetics of AAO-MD contribute to the shared genetic architecture observed between psychiatric disorders.

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Sprache(n): eng - English
 Datum: 2021-11-192021-08-302022-03-26
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41398-022-01888-z
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Titel: Translational Psychiatry
  Kurztitel : Transl Psychiatry
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Nature Pub. Group
Seiten: - Band / Heft: 12 Artikelnummer: 124 Start- / Endseite: - Identifikator: ISSN: 2158-3188
CoNE: https://pure.mpg.de/cone/journals/resource/2158-3188