Pregled bibliografske jedinice broj: 1071169
Understanding the genetics of neuropsychiatric disorders: the potential role of genomic regulatory blocks
Understanding the genetics of neuropsychiatric disorders: the potential role of genomic regulatory blocks // Molecular Psychiatry, 25 (2020), 1; 6-18 doi:10.1038/s41380-019-0518-x (međunarodna recenzija, članak, znanstveni)
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Naslov
Understanding the genetics of neuropsychiatric disorders: the potential role of genomic regulatory blocks
Autori
Barešić, Anja ; Nash, Alexander Jolyon ; Dahoun, Tarik ; Howes, Oliver ; Lenhard, Boris
Izvornik
Molecular Psychiatry (1359-4184) 25
(2020), 1;
6-18
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
autism spectrum disorders ; wide association ; vrk2 rs2312147 ; identifies 30 ; schizophrenia ; disease ; enhancers ; loci ; metaanalysis ; elements
Sažetak
Recent genome-wide association studies have identified numerous loci associated with neuropsychiatric disorders. The majority of these are in non-coding regions, and are commonly assigned to the nearest gene along the genome. However, this approach neglects the three-dimensional organisation of the genome, and the fact that the genome contains arrays of extremely conserved non-coding elements termed genomic regulatory blocks (GRBs), which can be utilized to detect genes under long-range developmental regulation. Here we review a GRB-based approach to assign loci in non-coding regions to potential target genes, and apply it to reanalyse the results of one of the largest schizophrenia GWAS (SWG PGC, 2014). We further apply this approach to GWAS data from two related neuropsychiatric disorders-autism spectrum disorder and bipolar disorder-to show that it is applicable to developmental disorders in general. We find that disease-associated SNPs are overrepresented in GRBs and that the GRB model is a powerful tool for linking these SNPs to their correct target genes under long-range regulation. Our analysis identifies novel genes not previously implicated in schizophrenia and corroborates a number of predicted targets from the original study. The results are available as an online resource in which the genomic context and the strength of enhancer-promoter associations can be browsed for each schizophrenia-associated SNP.
Izvorni jezik
Engleski
Znanstvena područja
Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
- Nature Index