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- W1569337214 abstract "Next-generation sequencing enables interrogation of the full catalog of human genetic variation. To appropriately interpret these data and identify genetic risk factors for type 2 diabetes (T2D), logistical and analytical challenges associated with large-scale next-generation sequencing data must be addressed. Here, we discuss several of these challenges including how to select samples to sequence, identify variation from sequence data, define specific hypotheses about the contribution of variation to T2D risk, apply analytical methods to test these hypotheses, and employ available approaches for replication of primary findings. Whereas genome-wide association studies have implicated previously unknown genes and pathways in T2D pathogenesis, sequencing studies aim to further identify causal variants and mechanisms, build improved clinical risk models, and more fully characterize T2D genetic architecture." @default.
- W1569337214 created "2016-06-24" @default.
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- W1569337214 date "2014-01-01" @default.
- W1569337214 modified "2023-09-25" @default.
- W1569337214 title "Whole Genome and Exome Sequencing of Type 2 Diabetes" @default.
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- W1569337214 doi "https://doi.org/10.1159/000362465" @default.
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