Back

Population-based Risk of Psychiatric Disorders Associated with Recurrent CNVs

Vaez, M.; Montalbano, S.; Calle Sanchez, X.; Georgii Hellberg, K.-L.; Rasekhi Dehkordi, S.; Dybdahl Krebs, M.; Meijsen, J.; Shorter, J.; Byberg-Grauholm, J.; B Mortensen, P.; D Borglum, A.; M Hougaard, D.; Nordentoft, M.; H Geschwind, D.; Buil, A.; J Schork, A.; iPSYCH Investigators, ; Helenius, D.; Raznahan, A.; K Thompson, W.; Werge, T.; Ingason, A.

2023-09-05 genetic and genomic medicine
10.1101/2023.09.04.23294975 medRxiv
Show abstract

Recurrent copy number variants (rCNVs) are associated with increased risk of neuropsychiatric disorders but their pathogenic population-level impact is unknown. We provide population-based estimates of rCNV-associated risk of neuropsychiatric disorders for 34 rCNVs in the iPSYCH2015 case-cohort sample (n=120,247). Most observed significant increases in rCNV-associated risk for ADHD, autism or schizophrenia were moderate (HR:1.42-5.00), and risk estimates were highly correlated across these disorders, the most notable exception being high autism-associated risk with Prader-Willi/ Angelman Syndrome duplications (HR=20.8). No rCNV was associated with significant increase in depression risk. Also, rCNV-associated risk was positively correlated with locus size and gene constraint. Comparison with published rCNV studies suggests that prevalence of some rCNVs is higher, and risk of psychiatric disorders lower, than previously estimated. In an era where genetics is increasingly being clinically applied, our results highlight the importance of population-based risk estimates for genetics-based predictions.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.