Literature DB >> 6959652

The effects of requisite assumptions on linkage analyses of manic-depressive illness with HLA.

S D Kruger, W J Turner, K K Kidd.   

Abstract

Two large pedigrees with a bipolar proband were selected on the basis of compatibility with the hypothesis of autosomal dominant inheritance of a depressive taxon. We compared the results of linkage analyses of the depressive taxon with HLA and GLO in these pedigrees when penetrance function, diagnostic classification, and HLA haplotype frequencies were varied. The analyses show that all three types of assumptions affect the lod scores and likelihoods obtained. Using the most favorable assumptions, we obtain a lod score of 3.901 at theta = 0.10 for HLA with the depressive taxon. This lod score would conventionally be considered strong evidence of linkage of a subtype of manic-depressive illness with HLA but the dependence of these results on several untested assumptions suggests more cautious interpretation. Nonetheless, we feel it does represent evidence in favor of linkage because this high a lod score cannot readily be dismissed as statistical artifact. The results point out the importance of careful delineation of the assumptions made in linkage analyses of complex disorders, including the diagnostic criteria, marker allele frequencies, and age-of-onset function used.

Entities:  

Mesh:

Substances:

Year:  1982        PMID: 6959652

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  3 in total

1.  Estimation of segregation and linkage parameters in simulated data. II. Simultaneous estimation with one linked marker.

Authors:  R A Price; P L Kramer; D L Pauls; K K Kidd
Journal:  Am J Hum Genet       Date:  1989-07       Impact factor: 11.025

2.  Estimation of segregation and linkage parameters in simulated data. I. Segregation analyses with different ascertainment schemes.

Authors:  P L Kramer; D L Pauls; R A Price; K K Kidd
Journal:  Am J Hum Genet       Date:  1989-07       Impact factor: 11.025

3.  Incorrect specification of marker allele frequencies: effects on linkage analysis.

Authors:  N B Freimer; L A Sandkuijl; S M Blower
Journal:  Am J Hum Genet       Date:  1993-06       Impact factor: 11.025

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.