Literature DB >> 24254013

Evaluation of biometrical methods for estimating the number of genes : 2. Effect of type I and type II statistical errors.

D K Mulitze1, R J Baker.   

Abstract

Computer simulation of several genetic models was used to assess the effect of type I and type II statistical errors on estimating the number of genes by the inbred-backcross and genotype assay procedures. Depending upon the actual number of genes, heritability, and the probability of type I errors (α), substantial upward and downward biases were observed in estimates of the number of genes from both methods. The estimated number of genes increased as α was increased from 0.01 to 0.30 and as heritability increased. With high α and/or high heritability, the estimated number of genes often exceeded the actual number. Downward biases occurred with low α and low heritability, and tended to become greater as the number of genes in the model was increased. Large type II errors were associated with downward biases. The choice of α had a greater impact on biases in estimates from the genotype assay procedure than from the inbred-backcross procedure. Increasing the number of backcrosses in the inbred-backcross procedure or delaying the assay generation in genotype assay increased the probability of upward biases in the estimated number of genes. Unbiased estimates can be obtained only by choice of an optimum α. There is no known way to choose the optimum α in practice. This fact reduces the value of estimates of the number of genes by genotype assay or by the inbred-backcross methods.

Entities:  

Year:  1985        PMID: 24254013     DOI: 10.1007/BF00251104

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  5 in total

1.  Estimating the number of genes in a polygenic system by genotype assay.

Authors:  J L Jinks; P Towey
Journal:  Heredity (Edinb)       Date:  1976-08       Impact factor: 3.821

2.  The Detection and Measurement of the Effects of Individual Genes Involved in the Inheritance of a Quantitative Character in Wheat.

Authors:  C Wehrhahn; R W Allard
Journal:  Genetics       Date:  1965-01       Impact factor: 4.562

3.  Methods for estimating gene numbers for quantitative characters using doubled haploid lines.

Authors:  J W Snape; A J Wright; E Simpson
Journal:  Theor Appl Genet       Date:  1984-01       Impact factor: 5.699

4.  Evaluation of biometrical methods for estimating the number of genes : 1. Effect of sample size.

Authors:  D K Mulitze; R J Baker
Journal:  Theor Appl Genet       Date:  1985-03       Impact factor: 5.699

5.  Alternative ways of estimating the number of genes in a polygenic system by genotype assay.

Authors:  P Towey; J L Jinks
Journal:  Heredity (Edinb)       Date:  1977-12       Impact factor: 3.821

  5 in total
  2 in total

1.  Gene differences in heading date, height, seed weight and seed yield between two pure line varieties of Triticum aestivum L.

Authors:  C F Wehrhahn; G C Tai
Journal:  Theor Appl Genet       Date:  1988-09       Impact factor: 5.699

2.  The inheritance of host plant resistance and its effect on the relative infection efficiency of Magnaporthe grisea in rice cultivars.

Authors:  E C Roumen
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

  2 in total

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