Households and Family Projections in Tehran Lipid and Glucose Study: 1999 to 2016

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Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: During last decade, along with developing high throughput sequencing technology and mapping the human genome, social and biological relationships are considered as pivotal tools in medical genetics. Family-based studies are suitable for population stratification control, investigations of parent-of-origin; X-linked transmitted inheritance and identification of disease risk factors. Twins studies also have led to the undeniable conclusion that most reliably measured health-related characteristics are influenced to some degree by an individual’s genes. Objective: Drawing Family structures for a longitudinal cohort study. Methods: Tehran Lipid and Glucose Study (TLGS) is one of the oldest longitudinal cohort study, which has been performed on a population resident of the regional district 13 of Tehran municipality, in two main and four follow up phases. The complete genealogy data of 20,077 participants were documented and collected in 1999-2016. Pedigree of each participant was drawn on a paper sheet based on standardized human pedigree nomenclature and checked by ChIP-Typed data from the Tehran Cardiometabolic Genetic Study (TCGS). Results: Genealogy data of participants and their relatives overall for 23259 individuals were checked through 5434 households. Before pedigree drawing and splicing unrelated individuals, the mean of the clusters was 4.88 ±2.71 (Min 1, Max 21). After taking into account ChIP genotyping data, we identified 1741 clusters, the members of which had a common ancestor and were connected together to make an extended family by the appropriated methods. After splicing disjointed individuals and adding dummy individuals, 25642 remained in 6.9 ±5.1 (Min 3, Max 52) pedigrees. Conclusions: The TLGS would be more powerful to represent properties of the Tehranian population with accurate family structure along with demographic, anthropometrics, biochemical measurements and well-phenotyped data to explore genetics different and variations.

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