English

Genetic Testing for Complex Diseases: a Simulation Study Perspective

Applications 2011-09-30 v2 Computational Engineering, Finance, and Science Genomics Quantitative Methods

Abstract

It is widely recognized nowadays that complex diseases are caused by, amongst the others, multiple genetic factors. The recent advent of genome-wide association study (GWA) has triggered a wave of research aimed at discovering genetic factors underlying common complex diseases. While the number of reported susceptible genetic variants is increasing steadily, the application of such findings into diseases prognosis for the general population is still unclear, and there are doubts about whether the size of the contribution by such factors is significant. In this respect, some recent simulation-based studies have shed more light to the prospect of genetic tests. In this report, we discuss several aspects of simulation-based studies: their parameters, their assumptions, and the information they provide.

Keywords

Cite

@article{arxiv.1109.5796,
  title  = {Genetic Testing for Complex Diseases: a Simulation Study Perspective},
  author = {Nguyen Xuan Vinh},
  journal= {arXiv preprint arXiv:1109.5796},
  year   = {2011}
}

Comments

5 pages technical report

R2 v1 2026-06-21T19:10:50.226Z