SNPs and snails and puppy dogs' tails: analysis of SNP haplotype data using the gamete competition model

The gamete competition model is a likelihood version of the transmission disequilibrium test (TDT) that is inspired by conditional logistic regression and the Bradley–Terry ranking procedure. In family‐based association studies, both the TDT and the gamete competition model apply directly to data on a single nucleotide polymorphism (SNP). Because any given SNP has limited polymorphism, it is tempting to collect several SNPs within a gene into a single super marker whose alleles are haplotypes. Unfortunately, this tactic wreaks havoc with the traditional TDT, which requires codominant markers (Spielman et al. 1993; Terwilliger & Ott, 1992). Eliminating phase ambiguities by assigning haplotypes to individuals before conducting the TDT may give misleading results because only the most probable haplotypes are then considered. Because pedigree implementations of the gamete competition model can accommodate dominant as well as codominant markers, they circumvent the phase problem by including all possible phases weighted by their estimated frequencies.

[1]  J. Terwilliger,et al.  A haplotype-based 'haplotype relative risk' approach to detecting allelic associations. , 1992, Human heredity.

[2]  M Farrall,et al.  Measured haplotype analysis of the angiotensin-I converting enzyme gene. , 1998, Human molecular genetics.

[3]  R. A. Bradley,et al.  RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS , 1952 .

[4]  D. Clayton,et al.  A generalization of the transmission/disequilibrium test for uncertain-haplotype transmission. , 1999, American journal of human genetics.

[5]  James P. Keener,et al.  The Perron-Frobenius Theorem and the Ranking of Football Teams , 1993, SIAM Rev..

[6]  Francis S. Collins,et al.  Variations on a Theme: Cataloging Human DNA Sequence Variation , 1997, Science.

[7]  H. Akaike A new look at the statistical model identification , 1974 .

[8]  J. Ott Estimation of the recombination fraction in human pedigrees: efficient computation of the likelihood for human linkage studies. , 1974, American journal of human genetics.

[9]  K. Liang,et al.  On estimating HLA/disease association with application to a study of aplastic anemia. , 1991, Biometrics.

[10]  D. Schaid Mathematical and Statistical Methods for Genetic Analysis , 1999 .

[11]  R. Elston,et al.  A general model for the genetic analysis of pedigree data. , 1971, Human heredity.

[12]  K Lange,et al.  Gamete-competition models. , 2000, American journal of human genetics.

[13]  W. Ewens,et al.  Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM). , 1993, American journal of human genetics.

[14]  T P Speed,et al.  Testing for segregation distortion in the HLA complex. , 1994, Biometrics.

[15]  J. Todd,et al.  Adaptation of the extended transmission/disequilibrium test to distinguish disease associations of multiple loci: the Conditional Extended Transmission/Disequilibrium Test , 2000, Annals of human genetics.

[16]  K. Lange,et al.  Programs for pedigree analysis: Mendel, Fisher, and dGene , 1988, Genetic epidemiology.

[17]  K. Kidd,et al.  Transmission/disequilibrium tests using multiple tightly linked markers. , 2000, American journal of human genetics.

[18]  D. Clayton,et al.  Transmission/disequilibrium tests for extended marker haplotypes. , 1999, American journal of human genetics.