Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors

Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors

In omic research, such as genome wide association studies, researchers seek to repeat their results in other datasets to reduce false positive findings and thus provide evidence for the existence of true associations. Unfortunately this standard validation approach cannot completely eliminate false...

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Bibliographic Details
Main Authors: Ciesielski, Timothy H, Pendergrass, Sarah A, White, Marquitta J, Kodaman, Nuri, Sobota, Rafal S, Huang, Minjun, Bartlett, Jacquelaine, Li, Jing, Pan, Qinxin, Gui, Jiang, Selleck, Scott B, Amos, Christopher I, Ritchie, Marylyn D, Moore, Jason H, Williams, Scott M
Format: Online
Language:English
Published: BioMed Central 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112852/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112852/

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