Do our "big data" in genetic analysis need to get bigger?
Individual papers in this special issue might seem disappointing in their lack of discovery of specific genes of potential relevance to mental disorders. Yet, collectively, they yield information that could not be gleaned otherwise. Combining genome-wide complex trait analysis and classic approaches to estimate heritability in the same sample, and supplementing genome-wide association studies of common variants with exome and sequencing analyses, provides an unprecedented opportunity to examine major issues encountered in genetic research of complex traits, in ways not easily done with a series of unrelated studies using different samples, measures, and analytical approaches. Extending molecular genetic approaches to fully multivariate analyses will be an important future direction. These will require bigger analyses of even bigger big data, but will be essential in efforts to redefine psychopathology in the Research Domain Criteria (RDoC) approach promoted in the NIMH strategic plan.
Psychology Department, University of Southern California, Los Angeles, California, USA.
Laura A
LA
Baker
D058068:Endophenotypes; D055106:Genome-Wide Association Study; D005838:Genotype; D006801:Humans; D020641:Polymorphism, Single Nucleotide
Missing heritability; Multivariate GWAS; RDoC