gLRTH_L {gLRTH} | R Documentation |
The function for the likelihood ratio test for genetic linkage under transmission heterogeneity
Description
We consider a binary trait and focus on detecting a transmission heterogeneity at a single locus with two
alleles A
and a
. We consider independent families each with one marker homozygous (AA
) parent, one marker
heterozygous parent (Aa
) and two diseased children. This likelihood ratio test is to test transmission
heterogeneity of preferential transmission of marker allele "a" to an affected child based on a binomial
mixture model with J
components (J \ge 2
),
P_{\eta}(X_D=g)=\sum_{j=1}^J \alpha_j B_2(g, \theta_j), \; g=0, 1, 2, \; J \geq 2, \; \sum_{j=1}^J \alpha_j=1, \; \theta_j, \alpha_j \in (0, 1),
where \eta=(\eta_j)_{j \leq J}, \eta_j=(\theta_j, \alpha_j)^T, j=1, \ldots, J
,
B_2(g, \theta_j)
is the probability mass function for a binomial distribution X \sim Bin(2, \theta_j)
,
and \theta_i=\theta_j
if and only if i=j
. \theta_j
is the probability
of transmission of the allele of interest in a subgroup of families j
.
In particular, J
is likely to be quite
large for many of the complex disease under transmission heterogeneity. Note that this LRT can
be applied to genome-wide linkage analysis without the need to know the exact value of J
while allowing J \ge 2
.
Usage
gLRTH_L(n0, n1, n2)
Arguments
n0 |
Number of affected sibling pairs both of which inherited A from their heterozygous parent Aa |
n1 |
Number of affected sibling pairs which one inherited A and the other inherited a from their heterozygous parent Aa |
n2 |
Number of affected sibling pairs both of which inherited a from their heterozygous parent Aa |
Value
The test statistic and asymptotic p-value for the likelihood ratio test for linkage analysis under genetic heterogeneity
Author(s)
Xiaoxia Han and Yongzhao Shao
References
Shao Y. (2014) Linkage analysis, originally published in Encyclopedia of Quantitative Risk Analysis and Assessment, John Wiley & Sons, Ltd, USA, 2008, and republished in Wiley StatsRef: Statistics Reference Online 2014.
Examples
gLRTH_L(n0=100, n1=70, n2=30)