Analysis of the joint effect of SNPs to identify independent loci and allelic heterogeneity in schizophrenia GWAS data

Analysis of the joint effect of SNPs to identify independent loci and allelic heterogeneity in schizophrenia GWAS data

We have tested published methods for capturing allelic heterogeneity and identifying loci of joint effects to uncover more of the “hidden heritability” of schizophrenia (SCZ). We used two tools, cojo-GCTA and multi-SNP, to analyze meta-statistics from the latest genome-wide association study (GWAS)...

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Veröffentlicht in:Translational psychiatry 2017-12, Vol.7 (12), p.1289-9, Article 1289
Hauptverfasser: Polushina, Tatiana, Giddaluru, Sudheer, Bettella, Francesco, Espeseth, Thomas, Lundervold, Astri J., Djurovic, Srdjan, Cichon, Sven, Hoffmann, Per, Nöthen, Markus M., Steen, Vidar M., Andreassen, Ole A., Le Hellard, Stéphanie
Format: Artikel
Sprache:eng
Schlagworte:
631/208/212
631/378
Alleles
Behavioral Sciences
Biological Psychology
Databases, Genetic
Genetic Loci
Genetic Predisposition to Disease
Genome-Wide Association Study
Genomes
Humans
Medicine
Medicine & Public Health
Neurosciences
Pharmacotherapy
Polymorphism, Single Nucleotide
Psychiatry
Quantitative Trait Loci
Schizophrenia
Schizophrenia - genetics
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Zusammenfassung:We have tested published methods for capturing allelic heterogeneity and identifying loci of joint effects to uncover more of the “hidden heritability” of schizophrenia (SCZ). We used two tools, cojo-GCTA and multi-SNP, to analyze meta-statistics from the latest genome-wide association study (GWAS) on SCZ by the Psychiatric Genomics Consortium (PGC). Stepwise regression on markers with p values
ISSN:2158-3188
2158-3188
DOI:10.1038/s41398-017-0033-2