Statistical considerations for genome-wide scans: design and application of a novel software package POLYMORPHISM.
OBJECTIVE
Given the cost and complexity of genome-wide scans, optimization of study design is of critical importance. Available algorithms only partially satisfy this need. We designed a software package called 'POLYMORPHISM' to meet these needs.


METHODS
The program is designed to calculate linkage parameters for both 'single-point' and 'two-point' settings that are applicable also to incompletely informative microsatellite markers. In single-point analysis, the heterozygosity, polymorphism information content (PIC) and linkage information content (LIC) statistics based on marker allele frequencies are provided. In two-point analysis, joint PIC values for two markers, the conditional probability of detecting linkage phase, the frequency of double heterozygotes and the expected number of informative meioses are calculated.


RESULTS
Results were obtained using S.A.G.E./DESPAIR (Design of Linkage Studies Based on Pairs of Relatives) in addition to applying this program to a Centre d'Etude du Polymorphisme pedigree-derived genotyping data set, which estimated critical parameters used in a two-stage genome scan. A single nucleotide polymorphism (SNP)-based one-stage genomic screen strategy is also considered.


CONCLUSIONS
LIC values are crucial for getting accurate estimates on those parameters that are important for a two-stage genome screening study. Optimization of the cost-effectiveness of an SNP-based genomic screen strategy is possible by modeling a balance between marker information content and marker density.
Niu
T
T
Program for Population Genetics, Harvard School of Public Health, Boston, Mass 02115, USA. tniu@hsph.harvard.edu
Struk
B
B
Lindpaintner
K
K
D000483:Alleles; D005787:Gene Frequency; D008040:Genetic Linkage; D006801:Humans; D018895:Microsatellite Repeats; D011110:Polymorphism, Genetic; D020641:Polymorphism, Single Nucleotide; D012984:Software