Multipoint methods for linkage analysis of quantitative trait loci in sib pairs

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

OSTI ID:133886

Cardon, L R ^[1]; Cherny, S S; Fulker, D W ^[2]

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1. Stanford Univ., CA (United States)
2. Univ. of Colorado, Boulder, CO (United States)

The sib-pair method of Haseman and Elston is widely used for linkage analysis of quantitative traits. The method requires no assumptions concerning the mode of transmission of the trait, it is robust with respect to genetic heterogeneity, and it is computationally efficient. However, the practical usefulness of the method is limited by its statistical power, requiring large numbers of sib paris and highly informative markers to detect genetic loci of only moderate effect size. We have developed a family of interval mapping procedures which dramatically increase the statistical power of the classical sib-pair approach. The methods make use of information from pairs of markers which flank a putative quantitative trait locus (QTL) in order to estimate the location and effect size of the QTL. Here we describe an extension of the interval mapping procedure which takes into account all available marker information on a chromosome simultaneously, rather than just pairs of markers. The method provides a computationally fast approximation to full multipoint analysis of sib-pair data using a modified Haserman-Elston approach. It gives very similar results to the earlier interval mapping procedure when marker information is relatively uniform and a coarse map is used. However, there is a substantial improvement over the original method when markers differ in information content and when a dense map is employed. The method is illustrated using real and simulated sib-pair data.

• OSTI ID: 133886
• 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
99 GENERAL AND MISCELLANEOUS
BIOLOGICAL MARKERS
CALCULATION METHODS
EFFICIENCY
GENES
GENETIC MAPPING
GENETICS
HEREDITARY DISEASES
HUMAN CHROMOSOMES
PATIENTS
PHENOTYPE
STATISTICAL MODELS