PMCC PMCC

Search tips
Search criteria

Advanced
Results 1-2 (2)
 

Clipboard (0)
None
Journals
Authors
Year of Publication
Document Types
1.  PediDraw: A web-based tool for drawing a pedigree in genetic counseling 
BMC Medical Genetics  2007;8:31.
Background
Drawing a pedigree is a prerequisite in genetic counseling. In medical records, a pedigree is useful to document the family history of the patient. Drawing a pedigree is also necessary in collecting genetic resources for medical research such as positional cloning. Currently, most pedigrees are drawn by hand or by drawing software. Due to the special requirements in a standardized pedigree, generating a pedigree by these methods is usually time-consuming and requires professionals. This limits the usage of a pedigree as demanded in remote diagnosis or online counseling from the counselees to send an electronic pedigree.
Results
We developed an online pedigree drawing tool, PediDraw, which enables users to generate pedigrees after inputting the family information step-by-step on web. It outputs a pedigree or table to present a family history to the counselors.
Conclusion
PediDraw is a user-friendly web-based drawing tool. It is accessible via Internet.
doi:10.1186/1471-2350-8-31
PMCID: PMC1904184  PMID: 17555606
2.  GAIA: An easy-to-use web-based application for interaction analysis of case-control data 
BMC Medical Genetics  2006;7:34.
Background
The advent of cheap, large scale genotyping has led to widespread adoption of genetic association mapping as the tool of choice in the search for loci underlying susceptibility to common complex disease. Whilst simple single locus analysis is relatively trivial to conduct, this is not true of more complex analysis such as those involving interactions between loci. The importance of testing for interactions between loci in association analysis has been highlighted in a number of recent high profile publications.
Results
Genetic Association Interaction Analysis (GAIA) is a web-based application for testing for statistical interactions between loci. It is based upon the widely used case-control study design for genetic association analysis and is designed so that non-specialists may routinely apply tests for interaction. GAIA allows simple testing of both additive and additive plus dominance interaction models and includes permutation testing to appropriately correct for multiple testing. The application will find use both in candidate gene based studies and in genome-wide association studies. For large scale studies GAIA includes a screening approach which prioritizes loci (based on the significance of main effects at one or both loci) for further interaction analysis.
Conclusion
GAIA is available at
doi:10.1186/1471-2350-7-34
PMCID: PMC1481545  PMID: 16595019

Results 1-2 (2)