Literature DB >> 11425002

Model-free vs. model-based linkage analysis: a false dichotomy?

S E Hodge1.   

Abstract

The aim of this article is to dispel some misunderstandings concerning the concepts of model-free or nonparametric linkage analysis (usually meaning affecteds-only analysis) and model-based or parametric analysis (usually meaning classical lod scores) and the implications of these concepts for the linkage analysis of complex genetic diseases. I review basic principles and then briefly indicate actual research findings. Readers may be surprised to learn that, technically, lod score analysis is also nonparametric. All this taken together indicates that classical lod score analysis, performed under a couple of different sets of genetic assumptions and corrected for multiple tests, is often actually superior to model-free analyses, even when the true genetic model is complex and unknown.

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Year:  2001        PMID: 11425002

Source DB:  PubMed          Journal:  Am J Med Genet        ISSN: 0148-7299


  6 in total

1.  The emperor's new methods.

Authors:  M Anne Spence; David A Greenberg; Susan E Hodge; Veronica J Vieland
Journal:  Am J Hum Genet       Date:  2003-04-18       Impact factor: 11.025

2.  Genomewide scan for linkage reveals evidence of several susceptibility loci for alopecia areata.

Authors:  Amalia Martinez-Mir; Abraham Zlotogorski; Derek Gordon; Lynn Petukhova; Jianhong Mo; T Conrad Gilliam; Douglas Londono; Chad Haynes; Jurg Ott; Maria Hordinsky; Krassimira Nanova; David Norris; Vera Price; Madeleine Duvic; Angela M Christiano
Journal:  Am J Hum Genet       Date:  2007-01-05       Impact factor: 11.025

3.  A major susceptibility locus for specific language impairment is located on 13q21.

Authors:  Christopher W Bartlett; Judy F Flax; Mark W Logue; Veronica J Vieland; Anne S Bassett; Paula Tallal; Linda M Brzustowicz
Journal:  Am J Hum Genet       Date:  2002-06-04       Impact factor: 11.025

4.  Search for genetic factors predisposing to atherogenic dyslipidemia.

Authors:  Agustin G Yip; Qianli Ma; Marsha Wilcox; Carolien I Panhuysen; John Farrell; Lindsay A Farrer; Diego F Wyszynski
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

5.  Genome-wide screen for heavy alcohol consumption.

Authors:  Diego F Wyszynski; Carolien I Panhuysen; Qianli Ma; Agustin G Yip; Marsha Wilcox; Porat Erlich; Lindsay A Farrer
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

6.  Design considerations in a sib-pair study of linkage for susceptibility loci in cancer.

Authors:  Richard A Kerber; Christopher I Amos; Beow Y Yeap; Dianne M Finkelstein; Duncan C Thomas
Journal:  BMC Med Genet       Date:  2008-07-10       Impact factor: 2.103

  6 in total

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