Literature DB >> 6954847

Utility and efficiency of linked marker genes for genetic counseling. II. Identification of linkage phase by offspring phenotypes.

A Chakravarti, M Nei.   

Abstract

For a linked marker locus to be useful for genetic counseling, the counselee must be heterozygous for both disease and marker loci and his or her linkage phase must be known. It is shown that when the phenotypes of the counselee's previous children for the disease and marker loci are known, the linkage phase can often be inferred with a high probability, and thus it is possible to conduct genetic counseling. To evaluate the utility of linked marker genes for genetic counseling, the accuracy of prediction of the risk for a prospective child with a given marker gene to develop the genetic disease and the proportion of families in which a particular marker locus can be used for genetic counseling are studied for X-linked recessive, autosomal dominant, and autosomal recessive diseases. In the case of X-linked genetic diseases, information from children is very useful for determining the linkage phase of the counselee and predicting the genetic disease. In the case of autosomal dominant diseases, not all children are informative, but if the number of children is large, the phenotypes of children are often more informative than the information from grandparents. In the case of autosomal recessive diseases, information from grandparents is usually useless, since they show a normal phenotype for the disease locus. If we use information on the phenotypes of children, however, the linkage phase of the counselee and the risk of a prospective child can be inferred with a high probability. The proportion of informative families depends on the dominance relationship and frequencies of marker alleles, and the number of children. In general, codominant markers are more useful than are dominant markers, and a locus with high heterozygosity is more useful than is a locus with low heterozygosity.

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Year:  1982        PMID: 6954847      PMCID: PMC1685357     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  9 in total

1.  Proportion of informative families for genetic counseling with linked marker genes.

Authors:  M Nei
Journal:  Jinrui Idengaku Zasshi       Date:  1979-09

2.  PEDIG--a computer program for calculation of genotype probabilities using phenotype information.

Authors:  I Heuch; F H Li
Journal:  Clin Genet       Date:  1972       Impact factor: 4.438

3.  Calculation of risk factors and likelihoods for familial diseases.

Authors:  C Cannings; M H Skolnick; K de Nevers; R Sridharan
Journal:  Comput Biomed Res       Date:  1976-08

4.  Prenatal diagnosis of sickle cell anemia by restriction and endonuclease analysis: HindIII polymorphisms in gamma-globin genes extend test applicability.

Authors:  J A Phillips; S R Panny; H H Kazazian; C D Boehm; A F Scott; K D Smith
Journal:  Proc Natl Acad Sci U S A       Date:  1980-05       Impact factor: 11.205

5.  Model for antenatal diagnosis of beta-thalassaemia and other monogenic disorders by molecular analysis of linked DNA polymorphisms.

Authors:  P F Little; G Annison; S Darling; R Williamson; L Camba; B Modell
Journal:  Nature       Date:  1980-05-15       Impact factor: 49.962

6.  Non-random association between electromorphs and inversion chromosomes in finite populations.

Authors:  M Nei; W H Li
Journal:  Genet Res       Date:  1980-02       Impact factor: 1.588

7.  Polymorphism of DNA sequence adjacent to human beta-globin structural gene: relationship to sickle mutation.

Authors:  Y W Kan; A M Dozy
Journal:  Proc Natl Acad Sci U S A       Date:  1978-11       Impact factor: 11.205

8.  Polymorphism of DNA sequence in the beta-globin gene region. Application to prenatal diagnosis of beta 0 thalassemia in Sardinia.

Authors:  Y W Kan; K Y Lee; M Furbetta; A Angius; A Cao
Journal:  N Engl J Med       Date:  1980-01-24       Impact factor: 91.245

Review 9.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

  9 in total
  9 in total

1.  The use of multiple restriction fragment length polymorphisms in prenatal risk estimation. I. X-linked diseases.

Authors:  A G Clark
Journal:  Am J Hum Genet       Date:  1985-01       Impact factor: 11.025

2.  A strategy for using multiple linked markers for genetic counseling.

Authors:  A Chakravarti; K H Buetow
Journal:  Am J Hum Genet       Date:  1985-09       Impact factor: 11.025

3.  The use of restriction fragment length polymorphisms in paternity analysis.

Authors:  P E Smouse; R Chakraborty
Journal:  Am J Hum Genet       Date:  1986-06       Impact factor: 11.025

4.  2013 William Allan Award: My multifactorial journey.

Authors:  Aravinda Chakravarti
Journal:  Am J Hum Genet       Date:  2014-03-06       Impact factor: 11.025

5.  Predicting genotypes at loci for autosomal recessive disorders using linked genetic markers: application to Wilson's disease.

Authors:  L A Farrer; B Bonne-Tamir; M Frydman; A Magazanik; K K Kidd; A M Bowcock; L L Cavalli-Sforza
Journal:  Hum Genet       Date:  1988-06       Impact factor: 4.132

6.  DNA polymorphism and clinical genetics.

Authors:  R Chakraborty
Journal:  Indian J Pediatr       Date:  1986 Nov-Dec       Impact factor: 1.967

7.  Nonuniform recombination within the human beta-globin gene cluster.

Authors:  A Chakravarti; K H Buetow; S E Antonarakis; P G Waber; C D Boehm; H H Kazazian
Journal:  Am J Hum Genet       Date:  1984-11       Impact factor: 11.025

8.  Utility and efficiency of linked marker genes for genetic counseling. III. Proportion of informative families under linkage disequilibrium.

Authors:  A Chakravarti
Journal:  Am J Hum Genet       Date:  1983-07       Impact factor: 11.025

9.  Polymorphic DNA haplotypes at the human phenylalanine hydroxylase locus and their relationship with phenylketonuria.

Authors:  R Chakraborty; A S Lidsky; S P Daiger; F Güttler; S Sullivan; A G Dilella; S L Woo
Journal:  Hum Genet       Date:  1987-05       Impact factor: 4.132

  9 in total

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