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Table 1 Curve fit parameters for histograms of log10(variant-TSS) distances from several studies. Initial fits were from log10 = 0 to observed minimum in the histogram, as presented in the table. Final fit included our trans model (methods) and started from the values generated from the initial fits. In all cases, the Kolmogorov–Smirnov test favored the Weibull distribution over the Gaussian distribution

From: An optimal variant to gene distance window derived from an empirical definition of cis and trans protein QTLs

Study

Initial cis Log10 dist cutoff (cis < X)

Initial fit Weibull shape parameter κ

Initial fit Weibull scale parameter

λ

Weibull only Kolmogorov–Smirnov p-value

Gaussian only Kolmogorov–Smirnov

p-value

Initial Weibull fraction

Final fit (Weibull + trans) shape parameter

k (SE)

Final fit (Weibull + trans) scale parameter l (SE)

Final fit (Weibull + trans) Weibull fraction (SE)

Final fit (Weibull + trans), Kolmogorov–Smirnov

p-value

Alternate final fit (Gaussian + Trans) fit, Kolmogorov–Smirnov

p-value

Pietzner pQTL

5.75

6.4803

4.4428

0.1018

0.0000

0.7835

6.777 (0.211)

4.478 (0.024)

0.799 (0.013)

0.3645

0.0054

deCode pQTL

6

5.6487

4.4515

0.0089

0.0000

0.6462

6.192 (0.315)

4.466 (0.043)

0.665 (0.017)

0.0223

0.0044

Eqtlgen

NA

NA

NA

7.255E-07

 < 2.2e-16

1.0000

7.375 (0.054)

4.700 (0.006)

1.0 (NA)

NA

NA

Metabolite QTLs

6.5

6.2855

5.2105

0.5689

0.4698

0.3095

4.262 (1.881)

5.544 (0.708)

0.346 (0.080)

0.0183

0.0142