LINKGEN: a new algorithm to process data in genetic linkage studies

Genomics. 2008 Jun;91(6):544-7. doi: 10.1016/j.ygeno.2008.02.001. Epub 2008 Apr 2.

Abstract

Genetic linkage studies using whole genome scans are useful approaches for identifying genes related to human diseases. In general, these studies require genotyping of a large number of markers, which are used in statistical analysis. Recent technology has allowed easy genotyping of a large number of markers in less time; therefore, interface programs are required for manipulation of these large data sets. We present a new algorithm, which processes input data in LINKAGE format from data analyzed by automated genotyping systems. The algorithm was implemented in PERL script and R environment. Validation was performed with genotyped data from 127 individuals and 720 microsatellite markers of two whole genome scans. Our results showed a significant decrease in data processing time. In addition, this algorithm provides unbiased allele frequency estimation used for linkage analysis. LINKGEN is a freely available online tool and allows easier, faster, and reliable manipulation of large genotyping data sets.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Algorithms*
  • Genetic Linkage*
  • Genome, Human
  • Humans
  • Microsatellite Repeats
  • Sequence Analysis, DNA / methods*
  • Software*