Women with premenstrual disorders may be at higher genetic risk of major psychiatric disorders

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Photo by Ivan Aleksic on Unsplash
Photo by Ivan Aleksic on Unsplash

Women who have symptoms of premenstrual disorders - such as particularly strong feelings of depression or irritability before their period - may be more likely to have a high genetic risk of major psychiatric disorders, according to international research. The researchers recruited women from a Norwegian study and calculated their individual genetic risks, and also asked about their premenstrual symptoms. They say a high genetic risk of a range of psychiatric disorders including depression, schizophrenia, ADHD and autism was associated with symptoms of premenstrual disorders.

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JAMA Psychiatry
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Organisation/s: Norwegian Centre for Mental Disorders Research, Norway
Funder: The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research. This research is part of the HARVEST collaboration, supported by the Research Council of Norway (grant 229624). The Norwegian Centre for Mental Disorders Research (NORMENT) provided genotype data, funded by the Research Council of Norway (grant 223273), South East Norway Health Authorities, and Stiftelsen Kristian Gerhard Jebsen. The Center for Diabetes Research, the University of Bergen, provided genotype data funded by the ERC AdG project SELECTionPREDISPOSED, Stiftelsen Kristian Gerhard Jebsen, the Trond Mohn Foundation, the Research Council of Norway, the Novo Nordisk Foundation, the University of Bergen, and theWestern Norway Health Authorities. This work was supported by the Research Council of Norway (grants 223273, 271555/F21, 273291, 273446, 296030, 300309, 324252, 324499, and 326813), the European Economic Area and Norway Grants (grants EEA-RO-NO-2018-0535, EEA-RO-NO-2018-0573, 2014-2021, and 6/2019), the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant (grant 801133), the European Union’s Horizon 2020 research and innovation programme (grant 847776 CoMorMent), the European Commission Grant Committee (grant 964874), the US National Institute of Mental Health (grants R01MH123724 and 1R01 MH124839-01).
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