Literature DB >> 7942860

Using lod-score differences to determine mode of inheritance: a simple, robust method even in the presence of heterogeneity and reduced penetrance.

D A Greenberg1, B Berger.   

Abstract

Determining the mode of inheritance is often difficult under the best of circumstances, but when segregation analysis is used, the problems of ambiguous ascertainment procedures, reduced penetrance, heterogeneity, and misdiagnosis make mode-of-inheritance determinations even more unreliable. The mode of inheritance can also be determined using a linkage-based method (maximized maximum lod score or mod score) and association-based methods, which can overcome many of these problems. In this work, we determined how much information is necessary to reliably determine the mode of inheritance from linkage data when heterogeneity and reduced penetrance are present in the data set. We generated data sets under both dominant and recessive inheritance with reduced penetrance and with varying fractions of linked and unlinked families. We then analyzed those data sets, assuming reduced penetrance, both dominant and recessive inheritance, and no heterogeneity. We investigated the reliability of two methods for determining the mode of inheritance from the linkage data. The first method examined the difference (delta) between the maximum lod scores calculated under the two mode-of-inheritance assumptions. We found that if delta was > 1.5, then the higher of the two maximum lod scores reflected the correct mode of inheritance with high reliability and that a delta of 2.5 appeared to practically guarantee a correct mode-of-inheritance inference. Furthermore, this reliability appeared to be virtually independent of alpha, the fraction of linked families in the data set, although the reliability decreased slightly as alpha fell below .50.(ABSTRACT TRUNCATED AT 250 WORDS)

Mesh:

Year:  1994        PMID: 7942860      PMCID: PMC1918291     

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


  7 in total

1.  Inter- and intrafamilial heterogeneity: effective sampling strategies and comparison of analysis methods.

Authors:  M Durner; D A Greenberg; S E Hodge
Journal:  Am J Hum Genet       Date:  1992-10       Impact factor: 11.025

2.  Effect of heterogeneity and assumed mode of inheritance on lod scores.

Authors:  M Durner; D A Greenberg
Journal:  Am J Med Genet       Date:  1992-02-01

3.  Inferring mode of inheritance by comparison of lod scores.

Authors:  D A Greenberg
Journal:  Am J Med Genet       Date:  1989-12

4.  Man bites dog? The validity of maximizing lod scores to determine mode of inheritance.

Authors:  R C Elston
Journal:  Am J Med Genet       Date:  1989-12

5.  Estimation of the recombination fraction in human pedigrees: efficient computation of the likelihood for human linkage studies.

Authors:  J Ott
Journal:  Am J Hum Genet       Date:  1974-09       Impact factor: 11.025

6.  Evidence for recessive and against dominant inheritance at the HLA-"linked" locus in coeliac disease.

Authors:  D A Greenberg; S E Hodge; J I Rotter
Journal:  Am J Hum Genet       Date:  1982-03       Impact factor: 11.025

Review 7.  Investigation of the mode of inheritance of the HLA associated diseases by the method of antigen genotype frequencies among diseased individuals.

Authors:  G Thomson
Journal:  Tissue Antigens       Date:  1983-02
  7 in total
  10 in total

1.  Direct power comparisons between simple LOD scores and NPL scores for linkage analysis in complex diseases.

Authors:  P C Abreu; D A Greenberg; S E Hodge
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

2.  Parametric and nonparametric multipoint linkage analysis with imprinting and two-locus-trait models: application to mite sensitization.

Authors:  K Strauch; R Fimmers; T Kurz; K A Deichmann; T F Wienker; M P Baur
Journal:  Am J Hum Genet       Date:  2000-05-04       Impact factor: 11.025

3.  Affecteds-only linkage methods are not a panacea.

Authors:  D A Greenberg; S E Hodge; V J Vieland; M A Spence
Journal:  Am J Hum Genet       Date:  1996-04       Impact factor: 11.025

4.  Magnitude of type I error when single-locus linkage analysis is maximized over models: a simulation study.

Authors:  S E Hodge; P C Abreu; D A Greenberg
Journal:  Am J Hum Genet       Date:  1997-01       Impact factor: 11.025

5.  Malic enzyme 2 may underlie susceptibility to adolescent-onset idiopathic generalized epilepsy.

Authors:  David A Greenberg; Eftihia Cayanis; Lisa Strug; Sudhir Marathe; Martina Durner; Deb K Pal; Gabriele B Alvin; Irene Klotz; Elisa Dicker; Shlomo Shinnar; Edward B Bromfield; Stanley Resor; Jeffrey Cohen; Solomon L Moshe; Cynthia Harden; Harriet Kang
Journal:  Am J Hum Genet       Date:  2004-11-05       Impact factor: 11.025

6.  Attention-deficit/hyperactivity disorder in a population isolate: linkage to loci at 4q13.2, 5q33.3, 11q22, and 17p11.

Authors:  Mauricio Arcos-Burgos; F Xavier Castellanos; David Pineda; Francisco Lopera; Juan David Palacio; Luis Guillermo Palacio; Judith L Rapoport; Kate Berg; Joan E Bailey-Wilson; Maximilian Muenke
Journal:  Am J Hum Genet       Date:  2004-10-20       Impact factor: 11.025

7.  Investigation of parent-of-origin effect in comitant strabismus using MOD score analysis.

Authors:  Sherin Shaaban; Toshihiko Matsuo; Konstantin Strauch; Hiroshi Ohtsuki
Journal:  Mol Vis       Date:  2009-06-09       Impact factor: 2.367

8.  A new Graves disease-susceptibility locus maps to chromosome 20q11.2. International Consortium for the Genetics of Autoimmune Thyroid Disease.

Authors:  Y Tomer; G Barbesino; D A Greenberg; E Concepcion; T F Davies
Journal:  Am J Hum Genet       Date:  1998-12       Impact factor: 11.025

9.  A genome-wide search for linkage to allergic rhinitis in Danish sib-pair families.

Authors:  Lisbeth Venø Kruse; Mette Nyegaard; Ulla Christensen; Steffen Møller-Larsen; Annette Haagerup; Mette Deleuran; Lars Gudmund Hansen; Stine Krogh Venø; Dirk Goossens; Jurgen Del-Favero; Anders Dupont Børglum
Journal:  Eur J Hum Genet       Date:  2012-03-14       Impact factor: 4.246

10.  Joint linkage and imprinting analyses of GAW15 rheumatoid arthritis and gene expression data.

Authors:  Xiaojun Zhou; Wei Chen; Michael D Swartz; Yue Lu; Robert Yu; Christopher I Amos; Chih-Chieh Wu; Sanjay Shete
Journal:  BMC Proc       Date:  2007-12-18
  10 in total

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