Two strategies involving whole-genome association studies have been propose
d for the identification of genes involved in complex diseases. The first o
ne seeks to characterize all common variants of human genes and to test the
ir association with disease. The second one seeks to develop dense maps of
single-nucleotide polymorphisms (SNPs) and to detect susceptibility genes t
hrough linkage disequilibrium. We performed a molecular screening of the co
ding and/or flanking regions of 36 candidate genes for cardiovascular disea
ses. All polymorphisms identified by this screening were further genotyped
in 750 subjects of European descent. In the whole set of genes, the lengths
explored spanned 53.8 kb in the 5' regions, 68.4 kb in exonic regions, and
13 kb in the 3' regions. The strength of linkage disequilibrium within can
didate regions suggests that genomewide maps of SNPs might be efficient way
s to identify new disease-susceptibility genes, provided that the maps are
sufficiently dense. However, the relatively large number of polymorphisms w
ithin coding and regulatory regions of candidate genes raises the possibili
ty that several of them might be functional and that the pattern of genotyp
e-phenotype association might be more complex than initially envisaged, as
actually has been observed in some well-characterized genes. These results
argue in favor of both genomewide association studies and detailed studies
of the overall sequence variation of candidate genes, as complementary appr
oaches.