Skip to main content

Table 2 Prediction of Sampling Scheme I

From: Inferring linkage disequilibrium from non-random samples

Pop.

p

q

(D min , D max )

D

± s.d.

± s.d.

1

0.5

0.5

(-0.25, 0.25)

0.20

0.1999 ± 0.0078

0.2004 ± 0.0078

2

0.5

0.5

(-0.25, 0.25)

0.10

0.1002 ± 0.0145

0.1003 ± 0.0145

3

0.3

0.3

(-0.09, 0.21)

0.09

0.0898 ± 0.0133

0.0899 ± 0.0125

4

0.7

0.7

(-0.09, 0.21)

0.09

0.0895 ± 50.0133

0.0896 ± 0.0126

5

0.3

0.5

(-0.15 0.15)

0.10

0.0997 ± 0.0120

0.0998 ± 0.0111

6

0.5

0.3

(-0.15, 0.15)

0.10

0.0995 ± 0.0121

0.0993 ± 0.0109

7

0.5

0.5

(-0.25, 0.25)

-0.20

-0.1995 ± 0.0081

-0.1998 ± 0.0081

8

0.5

0.5

(-0.25, 0.25)

-0.10

-0.0996 ± 0.0146

-0.0997 ± 0.01460

9

0.3

0.3

(-0.09, 0.21)

-0.09

-0.0896 ± 0.0074

-0.0899 ± 0.0068

10

0.7

0.7

(-0.09, 0.21)

-0.09

-0.0897 ± 0.0073

-0.0899 ± 0.0065

11

0.3

0.5

(-0.15 0.15)

-0.10

-0.1000 ± 0.0124

-0.1000 ± 0.0117

12

0.5

0.3

(-0.15, 0.15)

-0.10

-0.0995 ± 0.0120

-0.0993 ± 0.0111

  1. Linkage disequilibrium parameters were estimated based on 1000 simulations of n = 200 individuals from 12 different populations: p and q are the frequencies of alleles of the marker (M) and trait (A), D is the coefficient of linkage disequilibrium between the marker and the disease loci, D min and D max are respectively the minimum and maximum possible coefficients of linkage disequilibrium given allelic frequencies p and q, and are the estimates from Methods H and L respectively, and the means and standard deviations, s.d., calculated from 1000 simulations.