Complete multipoint sib-pair analysis of qualitative and quantitative traits

Journal Article · Tue Aug 01 04:00:00 EDT 1995 · American Journal of Human Genetics

OSTI ID:105252

Kruglyak, L; Lander, E S ^[1]

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1. Massachusetts Institute of Technology, Cambridge, MA (United States)

Sib-pair analysis is an increasingly important tool for genetic dissection of complex traits. Current methods for sib-pair analysis are primarily based on studying individual genetic markers one at a time and thus fail to use the full inheritance information provided by multipoint linkage analysis. In this paper, we describe how to extract the complete multipoint inheritance information for each sib pair. We then describe methods that use this information to map loci affecting traits, thereby providing a unified approach to both qualitative and quantitative traits. Specifically, complete multipoint approaches are presented for (1) exclusion mapping of qualitative traits; (2) maximum-likelihood mapping of qualitative traits; (3) information-content mapping, showing the extent to which all inheritance information has been extracted at each location in the genome; and (4) quantitative-trait mapping, by two parametric methods and one nonparametric method. In addition, we explore the effects of marker density, marker polymorphism, and availability of parents on the information content of a study. We have implemented the analysis methods in a new computer package, MAPMAKER/SIBS. With this computer package, complete multipoint analysis with dozens of markers in hundreds of sib pairs can be carried out in minutes. 25 refs., 8 figs.

• OSTI ID: 105252
• Journal Information: American Journal of Human Genetics, Journal Name: American Journal of Human Genetics Journal Issue: 2 Vol. 57; ISSN AJHGAG; ISSN 0002-9297
• Country of Publication: United States
• Language: English

Related Subjects

55 BIOLOGY AND MEDICINE
BASIC STUDIES
99 GENERAL AND MISCELLANEOUS
ALGORITHMS
BIOLOGICAL MARKERS
BIOLOGICAL MODELS
COMPUTER CODES
GENE RECOMBINATION
GENES
GENETIC MAPPING
GENETICS
HUMAN CHROMOSOMES
PATIENTS
PHENOTYPE
STATISTICS