Cargando…
Estimating Effect Sizes and Expected Replication Probabilities from GWAS Summary Statistics
Genome-wide Association Studies (GWAS) result in millions of summary statistics (“z-scores”) for single nucleotide polymorphism (SNP) associations with phenotypes. These rich datasets afford deep insights into the nature and extent of genetic contributions to complex phenotypes such as psychiatric d...
Autores principales: | Holland, Dominic, Wang, Yunpeng, Thompson, Wesley K., Schork, Andrew, Chen, Chi-Hua, Lo, Min-Tzu, Witoelar, Aree, Werge, Thomas, O'Donovan, Michael, Andreassen, Ole A., Dale, Anders M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754432/ https://www.ncbi.nlm.nih.gov/pubmed/26909100 http://dx.doi.org/10.3389/fgene.2016.00015 |
Ejemplares similares
-
Leveraging Genomic Annotations and Pleiotropic Enrichment for Improved Replication Rates in Schizophrenia GWAS
por: Wang, Yunpeng, et al.
Publicado: (2016) -
An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies
por: Thompson, Wesley K., et al.
Publicado: (2015) -
MicroRNAs enrichment in GWAS of complex human phenotypes
por: Goulart, Luiz F, et al.
Publicado: (2015) -
Probing the Association between Early Evolutionary Markers and Schizophrenia
por: Srinivasan, Saurabh, et al.
Publicado: (2017) -
Towards "biophysical psychiatry": a modeling approach for studying effects of schizophrenia-linked genes on single-neuron excitability
por: Mäki-Marttunen, Tuomo, et al.
Publicado: (2015)