Skip to main content

Table 1 Associated P-values and AUC for some of the most significant QTL reported by Chesler et al.(2005)

From: Genetical genomics: use all data

 

Best markera

Best transcriptb

AUC50(%) c

 

Name

-log10 P-valued

AUC%

Name

-log 10 P-valued

AUC%

Marker

Transcript

All

Trans-QTL

         

Mela

D9Mit196

23

72

Cap1

6

65

76

88

93

Myoc

D2Mit237

14

71

Pam

7

66

77

88

91

Cd59a

D13Mit11

12

72

A08Rik

11

57

74

89

89

Myh9

D19Mit35

5

61

Igfbp5

18

91

71

89

91

Pitpnb

S14Gnf055.010

6

63

Rab7

20

77

71

88

88

Cis-QTL

         

Prdx2

S08Gnf094.275

15

71

Psma7

20

74

69

94

94

Kcnj9

D9Mit11

7

62

Tnp1

24

77

62

95

96

Krt1-12

D11Mit58

13

70

Mrps7

10

71

73

89

89

Ntan1

D12Nyu7

5

57

K22Rik

39

80

63

84

85

Mrpl48

D7Mit17

11

73

Mcee

23

67

77

90

91

Largest-clique

         

Lin7c

D12Mit84

5

62

Sacm1l

53

90

80

97

97

  1. a The marker shown is the most associated to the cDNA level of the gene in the first column.
  2. b The gene name shown is that whose cDNA level is most associated to the cDNA level of the gene in the first column.
  3. c AUC50 is the AUC obtained with the best 50 variables, the three columns refer to AUC obtained when only markers, only transcripts or all variables, respectively, are considered as predictors.
  4. d Values reported are -log10 (P-value), that is a value of x means that significance is 10-x.