Sh. Shaw et al., ALLELE FREQUENCY-DISTRIBUTIONS IN POOLED DNA SAMPLES - APPLICATIONS TO MAPPING COMPLEX DISEASE GENES, PCR methods and applications, 8(2), 1998, pp. 111-123
Genetic studies of complex hereditary disorders require for their mapp
ing the determination of genotypes at several hundred polymorphic loci
in several hundred families. Because only a minority of markers are e
xpected to show linkage and association in family data, a simple scree
n of genetic markers to identify those showing linkage in pooled DNA s
amples can greatly facilitate gene identification. All studies involvi
ng pooled DNA samples require the comparison of allele frequencies in
appropriate family samples and subsamples. We have tested the accuracy
of allele frequency estimates, in various DNA samples, by pooling DNA
from multiple individuals prior to PCR amplification, We have used th
e ABI 377 automated DNA sequencer and GENESCAN software for quantifyin
g total amplification using a 5' fluorescently labeled forward PCR pri
mer and relative peak heights to estimate allele frequencies in pooled
DNA samples. In these studies, we have genotyped 11 microsatellite ma
rkers in two separate DNA pools, and an additional Four markers in a t
hird DNA pool, and compared the estimated allele frequencies with thos
e determined by direct genotyping. In addition, we have evaluated whet
her pooled DNA samples can be used to accurately assess allele frequen
cies on transmitted and untransmitted chromosomes, in a collection of
families for fine-structure gene mapping using allelic association. Ou
r studies show that accurate, quantitative data on allele frequencies,
suitable for identifying markers for complex disorders, can be identi
fied From pooled DNA samples. This approach, being independent of the
number of samples comprising a pool, promises to drastically reduce th
e labor and cost of genotyping in the initial identification of diseas
e loci. Additional applications of DNA pooling are discussed. These de
velopments suggest that new statistical methods For analyzing pooled D
NA data are required.