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Updated: Jun 14, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Whole genome association studies in complex diseases: where do we stand?
Anna C Need1, David B Goldstein
1Institute for Genome Sciences and Policy, Center for Human Genome Variation, Duke University, Durham, North Carolina 27708, USA.
Common variants have limited success in explaining complex diseases, especially neuropsychiatric disorders. Rare variants, however, show strong associations, suggesting whole-genome sequencing will advance neuropsychiatric genetics.
Area of Science:
- Genetics
- Neuroscience
- Genomics
Background:
- Genome-wide association studies (GWAS) aim to identify common genetic variants linked to complex diseases.
- Success in identifying common variants has varied, with notable associations in late-onset diseases, drug response, and the major histocompatibility complex.
- Common genetic variation has explained little of the high heritability observed in neuropsychiatric traits.
Purpose of the Study:
- To evaluate the success of genome-wide association studies in identifying genetic variants associated with complex diseases.
- To highlight the contrasting findings between common variants and rare variants in neuropsychiatric genetics.
- To emphasize the potential of whole-genome sequencing for advancing the understanding of neuropsychiatric disorders.
Main Methods:
- Review of hundreds of genome-wide association studies.
- Analysis of findings related to common variants in complex diseases, late-onset diseases, drug response, and the major histocompatibility complex.
- Comparison of the utility of common variants versus rare copy number variants in neuropsychiatric genetics.
Main Results:
- Genome-wide association studies have shown varying success in identifying common variants associated with complex diseases.
- Strongest effects of common variants are observed in late-onset diseases and drug response.
- Rare copy number variants have rapidly identified genes and loci strongly associated with neuropsychiatric disorders, unlike common variation.
Conclusions:
- Common genetic variation has explained minimal heritability in neuropsychiatric traits.
- Rare variants, particularly copy number variants, offer a more promising avenue for understanding neuropsychiatric disorders.
- Whole-genome sequencing is expected to significantly advance neuropsychiatric genetics by enabling the study of rare variation.
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