project . 2010 - 2015 . Closed

Identifying low frequency and rare genetic variation involved in type 2 diabetes using next generation sequencing data.

Wellcome Trust
  • Funder: Wellcome TrustProject code: 092447
  • Funded under: Cellular and Molecular Neuroscience Funder Contribution: 250,000 GBP
  • Status: Closed
  • Start Date
    01 Sep 2010
    End Date
    28 Feb 2015
Description
To answer my research question, I will utilize the following datasets: Dataset 1: Whole genome sequence from 1500 Type 2 diabetes patients and 1500 characterised controls at 4 fold coverage. Dataset 2: Targeted sequencing of 50-200 selected genes from 480 young onset diabetes patients and 480 normo-glycaemic controls, at 50 fold coverage. Dataset 3: Variant data from the publicly available 1000 genomes project My project will then proceed in four stages. In Stage 1 I will use NGS data fr om datasets 1-3 to identify low frequency and rare variants in the coding regions of selected candidate genes. In Stage 2 I will annotate these variants including their likely f...
Description
To answer my research question, I will utilize the following datasets: Dataset 1: Whole genome sequence from 1500 Type 2 diabetes patients and 1500 characterised controls at 4 fold coverage. Dataset 2: Targeted sequencing of 50-200 selected genes from 480 young onset diabetes patients and 480 normo-glycaemic controls, at 50 fold coverage. Dataset 3: Variant data from the publicly available 1000 genomes project My project will then proceed in four stages. In Stage 1 I will use NGS data fr om datasets 1-3 to identify low frequency and rare variants in the coding regions of selected candidate genes. In Stage 2 I will annotate these variants including their likely f...
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