Clinical Data Engagement

Research

Our group specializes in integrated omics and clinical data science. We use this expertise to study human variation, and develop molecular insights into disease risk prediction, surveillance and intervention. Such an approach is highly useful in targeting complex diseases like obesity and mental illness that are currently affecting millions across the globe. Our projects cover molecular phenotyping of chronic diseases in different stages of life-course (pediatric to adults to elderly), with a special focus on Asian populations as they are underrepresented across many biomedical databases, thereby limiting the potential of precision medicine in nearly 60% of the global population. We work in collaboration with eminent Singaporean cohorts (GUSTO, S-PRESTO, ATTRaCT & PRISM), health clusters, public sector and national platforms (eg. National Precision Medicine SG10K-Health study) to enhance the translational potential of our findings. In addition to the local research landscape, we work closely with the R&D of top nutrition and probiotics companies.

Combining our learnings from omics and clinical data science, we have been using the multi-dimensional data to develop mobile applications that can enhance personalized healthcare experience. These apps can be powered by next generation diagnostic tests developed through precision medicine research and electronic health records to provide a holistic and an up-to-date assessment of an individual’s health journey. These tools can not only provide an actionable intervention roadmap for clinicians but can also increase the scientific literacy of individuals to make better health choices. Beyond health apps, our experience in multi-omics data analytics has led to development of open-source analytics tools (eg. Gene Environment Methylation tool - GEM), cell type reference panels for infant epigenetic studies, and omics databases such as iMOM-db and iDAD_db that cover molecular phenotypes of ethnic variation (eQTLs and meQTLs) and diet-exposure (sperm sncRNA).

Clinical Data Engagement-Figure1

Link to Karnani lab tools, databases and resources. https://karnanilab.com

Members

 Head of Clinical Data Engagement &
 Senior Principal Investigator
 KARNANI  Neerja   |    [View Bio]  
 BII Team
 Senior Research Scientist  CHOO Matthew
 Senior Research Fellow LIM Ives Yubin 
 Full Stack Developer HUAN Jason
 Research Officer CHAN Penny
 Data analysts under joint appointment @SICS
 Research Scientist VAZ Candida
 Senior Research Fellow XU Jia
 Research Fellow MISHRA Priti
 Project Manager ONG Kelly

Selected Publications

Publications will be updated soon.