| Literature DB >> 31792363 |
Kevin S O'Connell1, Alexey Shadrin2, Shahram Bahrami2, Olav B Smeland2, Francesco Bettella2, Oleksandr Frei2, Florian Krull2, Ragna B Askeland3, G Bragi Walters4,5, Katrín Davíðsdóttir6, Gyða S Haraldsdóttir6, Ólafur Ó Guðmundsson4,5,7, Hreinn Stefánsson4, Chun C Fan8,9, Nils Eiel Steen2, Ted Reichborn-Kjennerud3,10, Anders M Dale8,11,12,13, Kári Stefánsson4,5, Srdjan Djurovic14,15, Ole A Andreassen16,17.
Abstract
Differential diagnosis between childhood onset attention-deficit/hyperactivity disorder (ADHD) and bipolar disorder (BD) remains a challenge, mainly due to overlapping symptoms and high rates of comorbidity. Despite this, genetic correlation reported for these disorders is low and non-significant. Here we aimed to better characterize the genetic architecture of these disorders utilizing recent large genome-wide association studies (GWAS). We analyzed independent GWAS summary statistics for ADHD (19,099 cases and 34,194 controls) and BD (20,352 cases and 31,358 controls) applying the conditional/conjunctional false discovery rate (condFDR/conjFDR) statistical framework that increases the power to detect novel phenotype-specific and shared loci by leveraging the combined power of two GWAS. We observed cross-trait polygenic enrichment for ADHD conditioned on associations with BD, and vice versa. Leveraging this enrichment, we identified 19 novel ADHD risk loci and 40 novel BD risk loci at condFDR <0.05. Further, we identified five loci jointly associated with ADHD and BD (conjFDR < 0.05). Interestingly, these five loci show concordant directions of effect for ADHD and BD. These results highlight a shared underlying genetic risk for ADHD and BD which may help to explain the high comorbidity rates and difficulties in differentiating between ADHD and BD in the clinic. Improving our understanding of the underlying genetic architecture of these disorders may aid in the development of novel stratification tools to help reduce these diagnostic difficulties.Entities:
Mesh:
Year: 2019 PMID: 31792363 DOI: 10.1038/s41380-019-0613-z
Source DB: PubMed Journal: Mol Psychiatry ISSN: 1359-4184 Impact factor: 15.992