Literature DB >> 9433633

Genotype relative-risks and association tests for nuclear families with missing parental data.

D J Schaid1, H Li.   

Abstract

The development of a new method for testing the association of genetic markers with disease is presented. This approach is applicable when sampling nuclear families with one or more affected siblings and when neither, one, or both parents are missing marker genotype data. All siblings, affected and not affected, are used to probabilistically infer the missing parental marker data. A likelihood ratio statistic, which treats marker allele frequencies as nuisance parameters, is presented to test whether all marker relative risks are equal to one (i.e., no marker association). This approach offers a solution to test for marker associations when parents are difficult to obtain.

Mesh:

Substances:

Year:  1997        PMID: 9433633     DOI: 10.1002/(SICI)1098-2272(1997)14:6<1113::AID-GEPI92>3.0.CO;2-J

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  8 in total

1.  Detection of disease genes by use of family data. I. Likelihood-based theory.

Authors:  A S Whittemore; I P Tu
Journal:  Am J Hum Genet       Date:  2000-03-29       Impact factor: 11.025

2.  Detection of disease genes by use of family data. II. Application to nuclear families.

Authors:  I P Tu; R R Balise; A S Whittemore
Journal:  Am J Hum Genet       Date:  2000-03-29       Impact factor: 11.025

3.  Comparison of tests for association and linkage in incomplete families.

Authors:  A C Cervino; A V Hill
Journal:  Am J Hum Genet       Date:  2000-06-06       Impact factor: 11.025

4.  Power calculations for likelihood ratio tests for offspring genotype risks, maternal effects, and parent-of-origin (POO) effects in the presence of missing parental genotypes when unaffected siblings are available.

Authors:  E Rampersaud; R W Morris; C R Weinberg; M C Speer; E R Martin
Journal:  Genet Epidemiol       Date:  2007-01       Impact factor: 2.135

Review 5.  Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.

Authors:  Hemant K Tiwari; Jill Barnholtz-Sloan; Nathan Wineinger; Miguel A Padilla; Laura K Vaughan; David B Allison
Journal:  Hum Hered       Date:  2008-03-31       Impact factor: 0.444

6.  Use of parents, sibs, and unrelated controls for detection of associations between genetic markers and disease.

Authors:  D J Schaid; C Rowland
Journal:  Am J Hum Genet       Date:  1998-11       Impact factor: 11.025

7.  Transmission disequilibrium, family controls, and great expectations.

Authors:  D J Schaid
Journal:  Am J Hum Genet       Date:  1998-10       Impact factor: 11.025

8.  A Bayesian Gene-Based Genome-Wide Association Study Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior.

Authors:  Yi Yang; Saonli Basu; Lisa Mirabello; Logan Spector; Lin Zhang
Journal:  Cancer Inform       Date:  2018-05-21
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.