The transmission/disequilibrium test (TDT) originally was introduced t
o test for linkage between a genetic marker and a disease-susceptibili
ty locus, in the presence of association. Recently, the TDT has been u
sed to test for association in the presence of linkage. The motivation
for this is that linkage analysis typically identifies large candidat
e regions, and further refinement is necessary before a search for the
disease gene is begun, on the molecular level. Evidence of associatio
n and linkage may indicate which markers in the region are closest to
a disease locus. As a test of linkage, transmissions from heterozygous
parents to all of their affected children can be included in the TDT;
however, the TDT is a valid chi(2) test of association only if transm
issions to unrelated affected children are used in the analysis. If th
e sample contains independent nuclear families with multiple affected
children, then one procedure that has been used to test for associatio
n is to select randomly a single affected child from each sibship and
to apply the TDT to those data. As an alternative, we propose two stat
istics that use data from all of the affected children. The statistics
give valid chi(2) tests Of the null hypothesis of no association or n
o linkage and generally are more powerful than the TDT with a single,
randomly chosen, affected child from each family.