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Detecting autozygosity through runs of homozygosity: A comparison of three autozygosity detection algorithms

BMC Genomics · 2011 · Vol. 12(1) · pp. 460–460
Daniel P. HowriganMatthew A. SimonsonMatthew C. Keller

Abstract

Our results provide both general and specific recommendations for maximizing autozygosity detection in genome-wide SNP data, and should apply equally well to research on whole-genome autozygosity burden or to research on whether specific autozygous regions are predictive using association mapping methods.

Chromosomal and Genetic VariationsGenomic variations and chromosomal abnormalitiesPlant Virus Research StudiesRuns of HomozygositySNP arrayComputer scienceData miningGeneticsBiologySingle-nucleotide polymorphismGenotype

MeSH terms

AlgorithmsChromosome MappingComputer SimulationHomozygoteHumansRegression AnalysisLinkage DisequilibriumGenome, HumanSequence Analysis, DNAComputational BiologyPolymorphism, Single Nucleotide

Funding

  • National Institutes of Health
  • Goddard Space Flight Center
  • National Institute of Mental Health
  • National Institute of Child Health and Human Development
Citations
380
FWCI
12.29
field-weighted impact
References
43
Percentile
99%
vs. same field & year
Citations per year
References
A Map of Recent Positive Selection in the Human Genome
PLoS Biology · 2006 · 3,065 citations
The genetics of inbreeding depression
Nature Reviews Genetics · 2009 · 2,215 citations
Runs of Homozygosity in European Populations
The American Journal of Human Genetics · 2008 · 1,436 citations
Why Most Published Research Findings Are False
PLoS Medicine · 2005 · 10,338 citations
PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses
The American Journal of Human Genetics · 2007 · 35,533 citations
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Detecting autozygosity through runs of homozygosity: A comparison of three autozygosity detection algorithms · Scinovex