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. Author manuscript; available in PMC: 2014 Jan 3.
Published in final edited form as: Ann Hum Genet. 2012 Sep 19;76(6):10.1111/j.1469-1809.2012.00728.x. doi: 10.1111/j.1469-1809.2012.00728.x

Table 1. Power of correctly identifying the disease SNP location using one pedigree.

All n cases sharing n-1 cases sharing

Significant threshold for designation of high-risk Significant threshold for designation of high-risk

Prevalence MAF Penetrance Attr. risk (%) <0.00001 <0.001 <0.00001 <0.001
0.50% 0.005 0.5 100 53.6% 52.8% 56.6% 55.9%
0.2 40 30.3% 25.5% 38.9% 33.5%
0.0005 0.5 10 71.0%* 42.3% 86.2%* 51.2%
0.2 4 48.5% 17.5% 65.9% 23.3%
0.00005 0.5 1 30.8% 10.2% 37.3% 11.5%
0.2 0.4 32.4%* 6.2% 42.5%* 6.7%

1% 0.005 0.5 50 68.9% 54.2%* 85.2% 68.0%*
0.2 20 24.2% 19.7% 33.2% 25.7%
0.0005 0.5 5 32.3% 18.2% 42.6% 24.1%
0.2 2 39.8% 9.2% 62.5% 11.8%
0.00005 0.5 0.5 35.2% 7.8% 47.2% 9.1%
0.2 0.2 12.6% 5.4% 17.6% 5.6%

Note: MAF, minor allele frequency. The number of cases (n) in a pedigree varied based on the genetic model and the high-risk threshold. For models with a prevalence of 1% the average number of cases was 8.2 and 9.7 for the high-risk thresholds of p<0.001, and p<0.00001, respectively. For models with a prevalence of 0.5% the average number of cases was 4.0 and 6.2 for the high-risk thresholds of p<0.001, and p<0.00001, respectively.

*

indicates a scenario also investigated by classical multipoint linkage analysis for comparison.