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Rationale and Design of a Genetic Study on Cardiometabolic Risk Factors: Protocol for the Tehran Cardiometabolic Genetic Study (TCGS).

Maryam S DaneshpourMohammad-Sadegh FallahBahareh Sedaghati-KhayatKamran GuityDavood KhaliliMehdi HedayatiAhmad EbrahimiFarhad HajsheikholeslamiParvin MirmiranFahimeh Ramezani TehraniAmir-Abbas MomenanArash GhanbarianAtieh AmouzegarParisa AmiriFereidoun Azizi
Published in: JMIR research protocols (2017)
Investigations conducted within the TCGS will seek to identify relevant patterns of genetic polymorphisms that could be related to cardiometabolic risk factors in participants from Tehran. By linking genome-wide data to the existing databank of TLGS participants, which includes comprehensive behavioral, biochemical, and clinical data on each participant since cohort inception in 1999, the TCGS will also allow exploration of gene-gene and gene-environment interactions as they relate to disease status.
Keyphrases
  • genome wide
  • risk factors
  • copy number
  • dna methylation
  • randomized controlled trial
  • big data
  • genome wide identification
  • gene expression
  • machine learning