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Identifying and testing specific markers using a linkage analysis to confirm the gene involved in the development and progression of lung cancer, particularly to explore the interaction of gene-gene and gene-environment, should be a high future priority.
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First, several dozens of QTL per trait were detected after QTL fine-mapping using a linkage disequilibrium linkage analysis (LDLA), as described by Druet et al. [ 10].
Second, the EST's are being screened for variation that can be used in a linkage analysis.
The resulting consensus data set was used to perform a linkage analysis using MAPMAKER.
One of these regions was also genomewide suggestive in the SGS analysis, and one was genomewide suggestive using a dominant linkage analysis (Table 1).
There were 378 autosomal markers available for the analyses reported here; some of these data have been used previously in a linkage analysis of blood pressure [ 32].
To avoid potential misspecification of the trait locus, they used a parametric linkage analysis using both dominant and recessive models.
The LDMIP algorithm also yields probabilities of paternal and maternal inheritance at the marker alleles for all animals in the pedigree [ 15], which can be used to set up a linkage analysis based on the genomic relationship matrix G LA by setting up such a relationship matrix at all marker positions and averaging across positions [ 8, 9].
In this report, we performed a linkage analysis using 33 African American prostate cancer families from two independent research groups.
We conducted a linkage analysis using Allegro 1.1 software [ 35], taking into account the PTPN22- 1858C/T genotypes, to select the subgroup of families with an index carrying the putative genotypes.
The parametric model consists of a linkage analysis performed using a normal model with the Haley-Knott regression method implemented in the R/qtl package [ 52, 53].
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