Grant: Genome-wide association study of schizophrenia
| Project Title |
Genome-wide association study of schizophrenia
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| Principal Investigator |
Sham, Pak Chung
(Principal investigator)
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| Co-Investigator(s) |
Tam, Paul Kwong Hang
(Co-Investigator)
Dr Chen Ronald Yuk Lun
(Co-Investigator)
Chen, Eric Yu Hai
(Co-Investigator)
Cherny, Stacey Shawn
(Co-Investigator)
Dr Purcell Shaun Matthew
(Co-Investigator)
Dr Li Tao
(Co-Investigator)
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| Project Code |
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| Funding Year |
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| Amount |
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| Start Date |
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| Expected Completion |
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| Status |
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| Keywords |
schizophrenia, association, genome-wide, psychiatry, bioinformatics
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| Discipline |
Genetic Disease, Genomic Biology
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| Sponsor |
RGC General Research Fund (GRF)
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| Grant Type/Funding Scheme |
General Research Fund (GRF)
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| Duration |
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| Publication |
Risk prediction of complex diseases from family history and known susceptibility loci, with applications for cancer screening
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| Publication |
Uncovering the total heritability explained by all true susceptibility variants in a genome-wide association study
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| Publication |
Evaluating the heritability explained by known susceptibility variants: A survey of ten complex diseases
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| Publication |
A unifying framework for evaluating the predictive power of genetic variants based on the level of heritability explained
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| Publication |
Effect size measures in genetic association studies and age-conditional risk prediction
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| Publication |
Estimating the total number of susceptibility variants underlying complex diseases from genome-wide association studies
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| Publication |
Robust association tests under different genetic models, allowing for binary or quantitative traits and covariates
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| Publication |
Statistical issues and approaches in endophenotype research
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[Coming Soon]
