Skip to main content

Table 1 Estimated parameters of proportions of risk genes (pi) and mean relative risk (meanRR) for DN and CC SCZ data and four other NDDs: ID, EPI, ASD and DD

From: Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders

Parameter

Estimated

Lower credible

Upper credible

 

mode

interval boundary

interval boundary

SCZ_pi (%)

8.01

4.59

12.9

SCZ_meanRR_silentFCPk_denovo

1.22

1.00

2.16

SCZ_meanRR_MiD_denovo

1.44

1.00

3.16

SCZ_meanRR_LoF_denovo

12.25

4.79

22.22

SCZ_meanRR_MiD+LoF_CCpop1

2.09

1.04

3.54

SCZ_meanRR_MiD+LoF_CCpop2

2.44

1.05

5.73

SCZ_meanRR_MiD+LoF_CCpop3

1.04

1

1.19

ASD_pi (%)

4.44

3.15

5.94

ASD_meanRR_MiDdenovo

3.71

2.06

8.71

ASD_meanRR_LoFdenovo

24.56

14.27

37.44

ASD_meanRR_LoFcc

4.04

2.08

8.24

ID_pi (%)

2.53

1.89

3.43

ID_meanRR_MiDdenovo

29.82

18.86

46.1

ID_meanRR_LoFdenovo

105.45

73.27

143.29

DD_pi (%)

2.84

2.29

3.45

DD_meanRR_MiDdenovo

23.42

13.97

33.97

DD_meanRR_LoFdenovo

88.32

67.54

115.09

EPI_pi (%)

1.14

0.52

2.1

EPI_meanRR_MiDdenovo

72.2

35.39

128.46

EPI_meanRR_LoFdenovo

89.71

45.31

169.43

  1. These results were obtained by sampling three MCMC chains (20,000 times for each chain). These results are for three categories: loss of function (LoF) variants/mutations, missense damaging (MiD) variants/mutations, and silent within frontal cortex-derived DHS peaks (silentFCPk) variants.
  2. ASD autism spectrum disorders, CC case–control, DD developmental disorder, DN de novo, EPI epilepsy, ID intellectual disability, LoF loss of function, MCMC Markov chain Monte Carlo, MiD missense damaging, NDD neurodevelopmental disorder, SCZ schizophrenia, silentFCPk silent within frontal cortex-derived DHS peaks
Back to article page