Sham Lab

Prof. Pak Chung Sham

Chair Professor in Psychiatric Genomics

Assistant Professor

We develop and apply statistical methods to investigate complex traits such as diabetes, schizophrenia and others.
We have devised novel tests to increase statistical power of large scale genome wide association studies, and developed new methods to estimate polygenic risk scores, and heritabilities of various traits.
We have applied these methods to uncover new associated genetic variants and to improve our understanding of a variety of phenotypes.

We deploy whole exome and whole genome sequencing to improve out understanding of rare diseases and uncover diseases-causing mutations.
Particularly we are interested in congenital disorders specific to, or with a higher incidence rate within the Asian population.
In addition, we have developed new bioinformatic and statistical tools to improve our understanding of the genetic architecture of a variety of rare diseases.

We are interested in expression profiles in diseases like disc degeneration, kidney disease, and and their differences from normal samples.
In addition we are also inferring the regulation of gene expressions with the knowledge of functional genomics.
Relative tools on gene expression normalization and analyzation, and methods on gene regulatory network inference are developed.

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