publication . Article . 2016

Pathway-based analyses

Kent, Jack W.;
Open Access
  • Published: 03 Feb 2016 Journal: BMC Genetics, volume 17 (eissn: 1471-2156, Copyright policy)
  • Publisher: Springer Science and Business Media LLC
Abstract
Background New technologies for acquisition of genomic data, while offering unprecedented opportunities for genetic discovery, also impose severe burdens of interpretation andpenalties for multiple testing. Methods The Pathway-based Analyses Group of the Genetic Analysis Workshop 19 (GAW19) sought reduction of multiple-testing burden through various approaches to aggregation of highdimensional data in pathways informed by prior biological knowledge. Results Experimental methods testedincluded the use of "synthetic pathways" (random sets of genes) to estimate power and false-positive error rate of methods applied to simulated data; data reduction via independent ...
Subjects
free text keywords: Genetics(clinical), Genetics, Computational and Statistical Genetics, Evolutionary biology, Multiple comparisons problem, Statistical genetics, Biology, Gene regulatory network, Genome human, Emerging technologies, Research
Funded by
NIH| Gene Networks for Differential Risk of Kidney Damage by Long-Term Diabetes
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 1R01DK084289-01A2
  • Funding stream: NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
,
NIH| Genetic Analysis of Common Diseases: An Evaluation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES

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