Literature DB >> 2996337

A strategy for using multiple linked markers for genetic counseling.

A Chakravarti, K H Buetow.   

Abstract

A strategy for using multiple linked markers for genetic counseling is to test sequentially individual markers until a diagnosis can be made. We show that in order to minimize the number of tests performed per case while diagnosing all informative cases the order in which the markers are to be tested is critical. We describe an algorithm to obtain this order using the parameter "I," the frequency of informative cases. The I value for a specific locus used depends on the marker frequency, association with the disease locus, and also on the informativeness of the marker loci already tested. Realizing that a direct assay for the beta S gene already exists, and that most cases of beta-thalassemia in Mediterraneans can be directly diagnosed using synthetic oligonucleotide probes, we illustrate the above technique by examining nine DNA polymorphisms in the human beta-globin cluster for their ability to diagnose sickle-cell anemia in American blacks and beta-thalassemia in Mediterraneans. This analysis shows that 95.39% of all sickle-cell pregnancies can be diagnosed by testing a subset of only six markers chosen by our algorithm. Furthermore, six markers can also diagnose 88.03% of beta-thalassemia in Greeks and 83.56% of beta-thalassemia in Italians. The test set is different from that suggested by the individual informative frequencies due to nonrandom associations between the restriction sites.

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Year:  1985        PMID: 2996337      PMCID: PMC1684679     

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


  29 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.  Use of genetic linkage for the detection of female carriers of hemophilia.

Authors:  P R McCurdy
Journal:  N Engl J Med       Date:  1971-07-22       Impact factor: 91.245

3.  Antenatal diagnosis of sickle-cell anaemia by D.N.A. analysis of amniotic-fluid cells.

Authors:  Y W Kan; A M Dozy
Journal:  Lancet       Date:  1978-10-28       Impact factor: 79.321

Review 4.  DNA polymorphism and molecular pathology of the human globin gene clusters.

Authors:  S E Antonarakis; H H Kazazian; S H Orkin
Journal:  Hum Genet       Date:  1985       Impact factor: 4.132

5.  Genetic diagnosis of the fetus.

Authors:  S H Orkin
Journal:  Nature       Date:  1982-03-18       Impact factor: 49.962

6.  Direct identification of sickle cell anemia by blot hybridization.

Authors:  R F Geever; L B Wilson; F S Nallaseth; P F Milner; M Bittner; J T Wilson
Journal:  Proc Natl Acad Sci U S A       Date:  1981-08       Impact factor: 11.205

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.  Prenatal diagnosis by linkage: hemophilia A and polymorphic glucose-6-phosphate deydrogenase.

Authors:  C J Edgell; H N Kirkman; E Clemons; P D Buchanan; C H Miller
Journal:  Am J Hum Genet       Date:  1978-01       Impact factor: 11.025

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

10.  The use of genetic linkage in counselling families with dystrophia myotonica.

Authors:  S L Gibson; M A Ferguson-Smith
Journal:  Clin Genet       Date:  1980-06       Impact factor: 4.438

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  18 in total

1.  Rare McArdle disease locus polymorphic site on 11q13 contains CpG sequence.

Authors:  R V Lebo; L A Anderson; S DiMauro; E Lynch; P Hwang; R Fletterick
Journal:  Hum Genet       Date:  1990-11       Impact factor: 4.132

2.  Structure, evolution, and polymorphisms of the human apolipoprotein A4 gene (APOA4).

Authors:  S K Karathanasis; P Oettgen; I A Haddad; S E Antonarakis
Journal:  Proc Natl Acad Sci U S A       Date:  1986-11       Impact factor: 11.205

3.  Information content of the Centre d'Etude du Polymorphisme Humain (CEPH) family structures for linkage studies.

Authors:  A Chakravarti
Journal:  Hum Genet       Date:  1991-10       Impact factor: 4.132

4.  Defining DNA diagnostic tests appropriate or standard clinical care.

Authors:  R V Lebo; G Cunningham; M J Simons; L J Shapiro
Journal:  Am J Hum Genet       Date:  1990-09       Impact factor: 11.025

5.  Evidence for increased recombination near the human insulin gene: implication for disease association studies.

Authors:  A Chakravarti; S C Elbein; M A Permutt
Journal:  Proc Natl Acad Sci U S A       Date:  1986-02       Impact factor: 11.205

6.  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

7.  DNA polymorphism and clinical genetics.

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

8.  DNA polymorphism haplotypes of the human apolipoprotein APOA1-APOC3-APOA4 gene cluster.

Authors:  S E Antonarakis; P Oettgen; A Chakravarti; S L Halloran; R R Hudson; L Feisee; S K Karathanasis
Journal:  Hum Genet       Date:  1988-11       Impact factor: 4.132

9.  RFLPs of the LDL-receptor gene: their use in the diagnosis of FH and in evaluation of different levels of gene expression on normal subjects.

Authors:  S Bertolini; D A Coviello; P Masturzo; E Zucchetto; N Elicio; R Balestreri; G Orecchini; S Calandra; S Humphries
Journal:  Eur J Epidemiol       Date:  1992-05       Impact factor: 8.082

10.  Polymorphic haplotypes and recombination rates at the LDL receptor gene locus in subjects with and without familial hypercholesterolemia who are from different populations.

Authors:  A R Miserez; H Schuster; N Chiodetti; U Keller
Journal:  Am J Hum Genet       Date:  1993-04       Impact factor: 11.025

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