This is a unifying theme in human health: Many chronic conditions arise from common roots but express in different ways.

Mental health diagnoses are often linked: people with schizophrenia are much more likely to have bipolar disorder.

There's a *spectrum* of psychopathology.

We lay out three consensuses from the field of psychiatric genetics that should be considered before approving genetic tests for psychiatric disorders. The letter was signed by 140 experts in psychiatric genetics and published in Lancet Psychiatry. Now on Pubmed: pmc.ncbi.nlm.nih.gov/articles/PMC...

Collecting large genome-wide samples may de-risk reinvestment in psychopharmaceuticals. Expanding on past work that lumped all psychiatric disorders together, we conducted a test of the utility of GWAS for specific psychiatric indications. www.nature.com/articles/s43...

The PGC just published the largest multi-ancestry #GWAS of #BipolarDisorder, identifying 298 genetic regions linked to the condition. go.nature.com/3PJhi3W 2/5

How population stratification makes environments look like genes. A short 🧵:

This PGC study of Bipolar disorder genetics go.nature.com/3PJhi3W shows the benefits of bringing together large-scale, multi-ancestry cohorts. A huge thank you to all who contributed their data, those who did the analyses, and our funders – this work would not be possible without you.

The PGC #GWAS identified 36 key genes and implicated GABAergic interneurons and medium spiny neurons in the PFC and hippocampus. Intestinal cells & serotonin production may also play a role. go.nature.com/3PJhi3W This could lead to new pathways or targets for drugs. 4/4

New insight from the PGC #GWAS: Genetic differences in bipolar disorder vary across clinical, community-based, and self-report samples, mainly driven by different prevalences of bipolar subtypes (BDI vs. BDII). Data-gathering strategies matter. 🧬 go.nature.com/3PJhi3W. 3/4

The PGC just published the largest multi-ancestry #GWAS of #BipolarDisorder, identifying 298 genetic regions linked to the condition. go.nature.com/3PJhi3W
2/4

Did you know it takes an average of 8 years to diagnose #BipolarDisorder?
Newly published research from the Psychiatric Genomics Consortium (bit.ly/3JkuokY) aims to improve this by learning more about the condition’s underlying biology. Now in Nature: rdcu.be/d69fY 1/4

This PGC study shows the benefits of bringing together large-scale, multi-ancestry cohorts from different sourceshttps://go.nature.com/3PJhi3W A huge thank you to all who contributed their data, those who did the analyses, and our funders – this work would not be possible without you.

New insight from the PGC #GWAS: Genetic differences in bipolar disorder vary across clinical, community-based, and self-report samples, mainly driven by different prevalences of bipolar subtypes (BDI vs. BDII). Data-gathering strategies matter. 🧬 go.nature.com/3PJhi3W

The PGC just published the largest multi-ancestry #GWAS of #BipolarDisorder, identifying 298 genetic regions linked to the condition. go.nature.com/3PJhi3W

Did you know it takes an average of 8 years to diagnose #BipolarDisorder?
Newly published research from the Psychiatric Genomics Consortium (bit.ly/3JkuokY) aims to improve this by learning more about the condition’s underlying biology. Now in Nature: rdcu.be/d69fY

1/A fascinating figure that reveals so much about both genetics and clinical psychiatry from a great new #bipolar #genetics paper out in @nature.com
www.nature.com/articles/s41...