Integrating evolutionary and regulatory information with a multispecies approach implicates genes and pathways in obsessive-compulsive disorder.
Hyun Ji NohRuqi TangJason FlannickColm O'DushlaineRoss SwoffordDaniel HowriganDiane P GenereuxJeremy JohnsonGerard van GrootheestEdna GrünblattErik AnderssonDiana R DjurfeldtParesh D PatelMichele KoltookianChristina M HultmanMichele T PatoCarlos N PatoSteven A RasmussenMichael A JenikeGregory L HannaS Evelyn StewartJames A KnowlesStephan RuhrmannHans-Jörgen GrabeMichael WagnerChristian RückCarol A MathewsSusanne WalitzaDaniëlle C CathGuoping FengElinor K KarlssonKerstin Lindblad-TohPublished in: Nature communications (2017)
Obsessive-compulsive disorder is a severe psychiatric disorder linked to abnormalities in glutamate signaling and the cortico-striatal circuit. We sequenced coding and regulatory elements for 608 genes potentially involved in obsessive-compulsive disorder in human, dog, and mouse. Using a new method that prioritizes likely functional variants, we compared 592 cases to 560 controls and found four strongly associated genes, validated in a larger cohort. NRXN1 and HTR2A are enriched for coding variants altering postsynaptic protein-binding domains. CTTNBP2 (synapse maintenance) and REEP3 (vesicle trafficking) are enriched for regulatory variants, of which at least six (35%) alter transcription factor-DNA binding in neuroblastoma cells. NRXN1 achieves genome-wide significance (p = 6.37 × 10-11) when we include 33,370 population-matched controls. Our findings suggest synaptic adhesion as a key component in compulsive behaviors, and show that targeted sequencing plus functional annotation can identify potentially causative variants, even when genomic data are limited.Obsessive-compulsive disorder (OCD) is a neuropsychiatric disorder with symptoms including intrusive thoughts and time-consuming repetitive behaviors. Here Noh and colleagues identify genes enriched for functional variants associated with increased risk of OCD.
Keyphrases
- obsessive compulsive disorder
- genome wide
- copy number
- transcription factor
- dna binding
- dna methylation
- deep brain stimulation
- genome wide identification
- parkinson disease
- bioinformatics analysis
- endothelial cells
- induced apoptosis
- mental health
- gene expression
- high frequency
- early onset
- machine learning
- staphylococcus aureus
- oxidative stress
- electronic health record
- small molecule
- cancer therapy
- cystic fibrosis
- cell death
- pluripotent stem cells
- data analysis
- pseudomonas aeruginosa
- biofilm formation