First pan-India longitudinal study to enable better predictive models for cardio-metabolic diseases in India

In an effort to develop an advanced predictive model for cardio-metabolic disease, the Council of Scientific and Industrial Research (CSIR) on Monday announced the successful completion of the first phase of its groundbreaking health monitoring project. Such a study is important as these diseases have both genetic and lifestyle factors that contribute to the risk. The study has been successful in surpassing the target of 10,000 samples.

He said that despite India having a high incidence of cardio-metabolic diseases, the reasons for such a high incidence in the Indian population are not fully clear. He said, “Risk factors in the West are not the same as risk factors in India. A factor that may be important for a particular person may not be important for another person. So the concept of the same has to be eliminated in our country.”

He said that for the first time, a pan-India longitudinal study is being conducted with the aim of developing an advanced predictive model for cardio-metabolic disease, particularly diabetes, liver disease and heart diseases. He said that such a study is important as these diseases have both genetic and lifestyle factors that contribute to the risk.

Called 'Phenome India-CSIR Health Cohort Knowledgebase' (PI-CHECK), this is the first pan-India longitudinal study that enables better predictive models for cardio-metabolic diseases – particularly diabetes, liver disease and heart diseases – in the country.
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