An empiric comparison of linkage disequilibrium parameters in disease gene localizations; the myotonic dystrophy experience

Journal Article · Thu Sep 01 04:00:00 EDT 1994 · American Journal of Human Genetics

OSTI ID:133929

Podolsky, L; Baird, S; Korneluk, R G ^[1]

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1. Children`s Hospital of Eastern Ontario, Ottawa (Canada); and others

Analyses of linkage disequilibrium (LD) between markers of known location and disease phenotypes often provide valuable information in efforts to clone the causative genes. However, there exist a number of factors which may attenuate a consistent inverse relationship between physical distance and LD for a given pairing of a genetic marker and a human disease gene. Chief among these is the effect of the general population frequency of an allele which demonstrates LD with a disease gene. Possibly as a result of this, a number of methods of calculating LD has been proposed. We have calculated seven such LD parameters for twelve physically mapped RFLP`s from a 1.3 Mb DM gene containing region of 19q13.3 using 107 DM and 213 non-DM chromosomes. Correlation of the DM-marker physical distance with LD for the 12 loci reveals the Yule coefficient and Dij{prime} parameter to give the most consistent relationship. The D{prime} parameter shown to have a relative allele frequency independence gave only a weak correlation. A similar analysis is being carried out on published cystic fibrosis genetic and physical mapping data. The parameters identified in this study may be the most appropriate for future LD based localizations of disease genes.

• OSTI ID: 133929
• Report Number(s): CONF-941009--
• Journal Information: American Journal of Human Genetics, Journal Name: American Journal of Human Genetics Journal Issue: Suppl.3 Vol. 55; ISSN AJHGAG; ISSN 0002-9297
• Country of Publication: United States
• Language: English

Related Subjects

55 BIOLOGY AND MEDICINE
BASIC STUDIES
BIOLOGICAL MARKERS
DISEASES
DNA-CLONING
GENES
GENETIC MAPPING
HUMAN CHROMOSOME 19
HUMAN POPULATIONS
MUTATION FREQUENCY
PHENOTYPE
RFLPS
STATISTICS