Recently CSIR announced the successful conclusion of the first phase of the ‘Phenome India-CSIR Health Cohort Knowledgebase (PI-CheCK). 

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  • To mark this significant milestone, CSIR organized a special event, ‘Phenome India Unboxing 1.0’ at the National Institute of Oceanography (NIO), Goa on 3rd June.
    NIO is a multi-disciplinary oceanographic research institute founded in 1966 following the International Indian Ocean Expedition (IIOE) in the 1960s.
  • For the first time, a pan-India longitudinal study is conducted to develop an enhanced prediction model for cardiometabolic disease, especially diabetes, liver diseases and cardiac diseases. 
  • Such a study is vital as these diseases (cardio-metabolic) have both genetic and lifestyle factors that contribute to risk.

About the Council of Scientific & Industrial Research (CSIR) 

  • It is known for its cutting-edge R&D knowledge base in diverse S&T areas, is a contemporary R&D organization
  • It was established as an autonomous body by the government of India in 1942 to promote scientific knowledge and boost industrialization and economic growth.
  • Headquarters: New Delhi

Phenome India: CSIR Health Cohort Knowledgebase (PI-CHeCK)

  • It was launched by CSIR on 7th December 2023.
  • It assesses risk factors in non-communicable (cardio-metabolic) diseases within the Indian populace.
    The Cardiometabolic syndrome includes a cluster of conditions including abdominal obesity, insulin‐resistant glucose metabolism, dyslipidemia, and increased blood pressure.
  • PI-CHeCK is a kind of study that captures longitudinal molecular, biochemical and organ scanning data and integrates it with cutting-edge AI/ML models to enable the development of targeted diagnostic and prognostic technologies, thus paving the path for Precision Medicine in India
  • This unique initiative has already enrolled nearly 10,000 participants, who have volunteered to provide comprehensive health data.

Aims of PI-CHECK 

  • To understand and determine the risk factors that might lead to complex metabolic disorders. 
  • Creation of a biorepository i.e., storage of biological samples for future research. 
  • A step towards developing India-specific normative values/equations for various health parameters and modalities not available in literature. 
  • A step towards the development of diagnostics by utilizing the knowledge generated through these assays and analyses.
  • To catalyze similar initiatives across the country, thereby ensuring that risk prediction algorithms are more accurate and representative of India’s diverse genetic and lifestyle landscape. 

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