𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Affected sib pair identity by state analyses

✍ Scribed by Dr. Glenys Thomson; Uzi Motro

Book ID
102844646
Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
626 KB
Volume
11
Category
Article
ISSN
0741-0395

No coin nor oath required. For personal study only.

✦ Synopsis

Four methods using identity by state (IBS) data from affected sib pairs are compared for their ability to detect linkage between a diallelic marker and disease. A joint null hypothesis of no linkage and no linkage disequilibrium between the marker and disease must be considered. Two tests have undesirable properties in the case of linkage disequilibrium. Which of the other two tests has more power is dependent on the presence or not of linkage disequilibrium. The procedure of choice when possible is to type parents of affected sib pairs: the null hypothesis of no linkage can then be tested using identity by descent (IBD) values from informative parents, and the null hypothesis of no marker association with disease (linkage equilibrium) can be tested independently using the marker allele frequencies in the affected sib pairs.

πŸ“œ SIMILAR VOLUMES

Affected-sib-pair analyses of bipolar di
Affected-sib-pair analyses of bipolar disorder using data on chromosome 18
✍ Fatemeh Haghighi; Wentian Li; Cathy S.J. Fann πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 33 KB πŸ‘ 2 views

Our aim was to analyze the GAW10 bipolar data on chromosome 18, using three well-known affected-sib-pair methods. Analyses were carried out on both individual and combined data sets. In these analyses we defined the affected phenotype to include only individuals with diagnosis of bipolar I. We obser

Affected-sib-pair test for linkage based
Affected-sib-pair test for linkage based on constraints for identical-by-descent distributions corresponding to disease models with imprinting
✍ Michael Knapp; Konstantin Strauch πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 250 KB πŸ‘ 1 views

## Abstract Holmans' possible triangle test for affected sib pairs has proven to be a powerful tool for linkage analysis. This test is a likelihood‐ratio test for which maximization is restricted to the set of possible sharing probabilities. Here, we extend the possible triangle test to take into a