Multi-omics cannot replace sample size in genome-wide association studies

Keyphrases

• Genome-wide Association Study 100%
• Multi-omics 100%
• Novel Genes 30%
• Schizophrenia 20%
• Intracranial Volume 20%
• Omics Data 20%
• Large Genome 20%
• Magma 20%
• Epigenetics 10%
• Major Depressive Disorder 10%
• True Positive 10%
• Alcohol Use Disorder 10%
• Novel Variants 10%
• Transcriptomics 10%
• Related Traits 10%
• Brain Volume 10%
• Disease Biology 10%
• Variant Discovery 10%
• Novel Gene Discovery 10%
• Heritable Trait 10%
• Machine Learning Prediction 10%
• Additional Power 10%
• Novel Locus 10%
• False Association 10%
• Analytic Approach 10%
• Positional Mapping 10%
• Genotype-tissue Expression Project 10%
• Small Genome 10%
• Problematic Alcohol Use 10%
• Small-sized 10%

Immunology and Microbiology

• Genome-Wide Association Study 100%
• Sample Size 100%
• Multi-Omics 100%
• Transcriptomics 10%
• Brain Size 10%
• Epigenetics 10%

Neuroscience

• Genome-Wide Association Study 100%
• Tamsulosin 100%
• Major Depressive Disorder 10%
• Transcriptomics 10%
• Epigenetics 10%