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Table 4 Prediction of Sampling Scheme III

From: Inferring linkage disequilibrium from non-random samples

p

q

(D min , D max )

D

q was from population survey

q was from sample estimation

    

± s.d.

± s.d.

± s.d.

± s.d.

0.6

0.005

(-0.003,0.002)

-0.002

-0.011 ± 0.149

-0.002 ± 0.000

-0.113 ± 0.015

-0.071 ± 0.011

0.5

0.01

(-0.005,0.005)

0.004

0.280 ± 0.011

0.004 ± 0.001

0.108 ± 0.013

0.080 ± 0.013

0.5

0.02

(-0.010, 0.010)

0.008

0.273 ± 0.010

0.008 ± 0.001

0.110 ± 0.014

0.081 ± 0.013

0.3

0.03

(-0.009, 0.021)

0.010

0.191 ± 0.026

0.011 ± 0.002

0.104 ± 0.019

0.057 ± 0.018

0.7

0.04

(-0.028, 0.012)

0.010

0.309 ± 0.016

0.011 ± 0.002

0.071 ± 0.012

0.061 ± 0.017

0.3

0.05

(-0.015, 0.035)

0.020

0.192 ± 0.044

0.021 ± 0.004

0.122 ± 0.017

0.066 ± 0.017

0.5

0.10

(-0.050, 0.050)

0.040

0.227 ± 0.008

0.045 ± 0.006

0.124 ± 0.014

0.088 ± 0.012

  1. Simulation parameters for the case-control sampling scheme and means and standard deviation of estimates of the disequilibrium coefficients, and , from Methods H and L respectively. p, q and D are simulated values of population allele frequencies at the marker and disease loci and linkage disequilibrium respectively. (D min , D max ) are the theoretical minimum and maximum values of D. The disequilibrium coefficients were calculated when the marker allele frequency, p was calculated directly from the control sub-samples while the disease allele frequency q was either from population survey or directly estimated from the case-control samples.