Literature DB >> 10638369

Linkage analysis in heterogeneous and complex traits.

J Ott1, A Bhat.   

Abstract

Linkage analysis is generally carried out under single-gene models, while complex traits are thought to be under the control of multiple interacting genes. Current issues related to linkage analysis for complex traits are discussed. It is argued that linkage analyses should be carried out for sub-phenotypes, in addition to classical "affected-unaffected" phenotypes. Correlations for phenotypes among family members are often computed on the basis of extreme phenotypes of a proband, which results in biased estimates. Methods for ascertainment corrections are recommended. A generalized version of heterogeneity analysis is introduced and are shown to provide an effective single-locus analysis for complex traits.

Mesh:

Year:  1999        PMID: 10638369     DOI: 10.1007/pl00010693

Source DB:  PubMed          Journal:  Eur Child Adolesc Psychiatry        ISSN: 1018-8827            Impact factor:   4.785


  12 in total

1.  Measuring the inflation of the lod score due to its maximization over model parameter values in human linkage analysis.

Authors:  D E Weeks; T Lehner; E Squires-Wheeler; C Kaufmann; J Ott
Journal:  Genet Epidemiol       Date:  1990       Impact factor: 2.135

2.  Model misspecification and multipoint linkage analysis.

Authors:  N Risch; L Giuffra
Journal:  Hum Hered       Date:  1992       Impact factor: 0.444

3.  Neural network analysis of complex traits.

Authors:  P R Lucek; J Ott
Journal:  Genet Epidemiol       Date:  1997       Impact factor: 2.135

4.  Effects of misspecifying genetic parameters in lod score analysis.

Authors:  F Clerget-Darpoux; C Bonaïti-Pellié; J Hochez
Journal:  Biometrics       Date:  1986-06       Impact factor: 2.571

5.  Two-trait-locus linkage analysis: a powerful strategy for mapping complex genetic traits.

Authors:  N J Schork; M Boehnke; J D Terwilliger; J Ott
Journal:  Am J Hum Genet       Date:  1993-11       Impact factor: 11.025

6.  Model-free linkage analysis using likelihoods.

Authors:  D Curtis; P C Sham
Journal:  Am J Hum Genet       Date:  1995-09       Impact factor: 11.025

7.  Polygenic trait analysis by neural network learning.

Authors:  L Fu
Journal:  Artif Intell Med       Date:  1994-02       Impact factor: 5.326

8.  Statistical evaluation of multiple-locus linkage data in experimental species and its relevance to human studies: application to nonobese diabetic (NOD) mouse and human insulin-dependent diabetes mellitus (IDDM).

Authors:  N Risch; S Ghosh; J A Todd
Journal:  Am J Hum Genet       Date:  1993-09       Impact factor: 11.025

9.  Linkage evidence for genetic heterogeneity among kinships with hereditary motor and sensory neuropathy, type I.

Authors:  P J Dyck; J Ott; S B Moore; C J Swanson; E H Lambert
Journal:  Mayo Clin Proc       Date:  1983-07       Impact factor: 7.616

10.  Genetic determinants of diastolic and pulse pressure map to different loci in Lyon hypertensive rats.

Authors:  C Dubay; M Vincent; N J Samani; P Hilbert; M A Kaiser; J P Beressi; Y Kotelevtsev; J S Beckmann; F Soubrier; J Sassard
Journal:  Nat Genet       Date:  1993-04       Impact factor: 38.330

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  3 in total

1.  Genome-wide linkage analysis of carotid artery traits in exceptionally long-lived families.

Authors:  Allison L Kuipers; Mary K Wojczynski; Emma Barinas-Mitchell; Ryan L Minster; Lihua Wang; Mary F Feitosa; Alexander Kulminski; Bharat Thyagarajan; Joseph H Lee; Michael A Province; Anne B Newman; Joseph M Zmuda
Journal:  Atherosclerosis       Date:  2019-10-10       Impact factor: 5.162

2.  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

3.  Identification of a Novel Locus for Gait Speed Decline With Aging: The Long Life Family Study.

Authors:  Adam J Santanasto; Mary K Wojczynski; Ryan K Cvejkus; Shiow Lin; Lihua Wang; Bharat Thyagarajan; Kaare Christensen; Nicole Schupf; Mary F Feitosa; Ping An; Joseph M Zmuda
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-09-13       Impact factor: 6.591

  3 in total

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