Benign neoplasm: Renal pelvis

CD2_BENIGN_RENALPELVIS

kidney neoplasm: A benign or malignant neoplasm affecting the kidney. Representative examples of benign renal neoplasms include fibroma, lipoma, oncocytoma, and juxtaglomerular cell tumor. Representative examples of malignant renal neoplasms include renal cell carcinoma, renal pelvis carcinoma, Wilms tumor, rhabdoid tumor, sarcoma, and lymphoma.

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Endpoint definition

Endpoint definition steps

FinnGen

Phenotype data

520210

1. Apply sex-specific rule

None

520210

2. Check conditions

None

520210

3. Check pre-conditions, main-only, mode, registry filters

Registry filters:

  • Hospital discharge: ICD-10 D30.1&
  • Hospital discharge: ICD-9 2231
  • Hospital discharge: ICD-8 2231
  • Cause of death: ICD-10 D30.1&
  • Cause of death: ICD-9 2231
  • Cause of death: ICD-8 2231

2 out of 7 registries used, show all original rules.

51

4. Check minimum number of events

None

51

5. Include endpoints

None

51

6. Filter based on genotype QC (FinnGen only)

51

Control definitions (FinnGen only)

Controls for this endpoint are individuals that are not cases.

Extra metadata

Level in the ICD hierarchy
3
First used in FinnGen datafreeze
DF2
Parent code in ICD-10
D30
Name in latin
Neoplasma benignum pelvis renalis

Case counts by codes

FinnGen case counts by registry codes:

generic upset plot

Upset plot

Full data table

Summary Statistics

-FinRegistry-

Key figures

All Female Male
Number of individuals
Whole population 433 243 179
Only index persons 327 197 130
Unadjusted period prevalence (%)
Whole population 0.01 0.01 0.01
Only index persons 0.01 0.01 0.00
Median age at first event (years)
Whole population 66.97 65.17 69.25
Only index persons 65.81 64.03 68.50

-FinnGen-

Key figures

All Female Male
Number of individuals 51 31 20
Unadjusted period prevalence (%) 0.01 0.01 0.01
Median age at first event (years) 61.93 56.36 70.57

-FinRegistry-

Age distribution of first events

-FinnGen-

Age distribution of first events

-FinRegistry-

Year distribution of first events

-FinnGen-

Year distribution of first events

-FinRegistry-

Cumulative Incidence Function

No data

-FinnGen-

Cumulative Incidence Function

No data

CodeWAS (R11)

CodeWAS is a tool for exploring the associations between an endpoint and all of the medical codes and drug codes.

This is a new tool, please reach out using the contact form for feedback and improvement ideas.

First, a cohort is built by matching controls to the endpoint cases using year of birth and sex. Then, a Fisher test is done for all the medical codes and drug codes between the cases and controls of this cohort. Codes are reported in the table below if they have −log10(p-value) ≥ 6.

No data available

LabWAS

OMOP Concept
People with measurements
Mean N measurements
Mean measured value
(ID) Name
N Cases
N Controls
OR
-log10(p)
cases
controls
cases
controls
unit
-log10(p)
N cases
N controls
28
147
3.01
3.62
4.1
3.7
—
—
—
0
0
8
20
4.54
2.69
2.1
2.2
—
—
—
0
0
40
285
2.87
2.51
7.0
4.8
—
6599.3
—
0
10
35
234
2.58
2.50
8.5
10.0
4.4
4.1
e9/l
0.31
28
208
18
89
2.58
2.44
3.4
2.7
508.5
525.0
mosm/kgh2o
0.10
13
75
39
282
2.63
2.25
6.7
4.4
—
—
—
0
0
6
14
4.70
2.22
1.2
1.4
—
—
—
0
0
17
86
2.47
2.17
3.6
4.6
—
—
—
0
0
6
17
3.85
1.90
3.8
2.6
—
—
—
0
0
29
198
2.08
1.73
5.2
5.8
0.2
0.2
e9/l
0.04
22
178
21
128
2.09
1.68
3.5
2.7
62.1
58.6
u/l
0.22
16
120
24
155
2.04
1.64
2.4
1.9
87.3
98.9
pmol/l
—
9
81
40
315
2.25
1.56
30.1
20.7
329.6
331.1
g/l
0.38
40
315
19
116
2.02
1.49
5.9
2.9
0.0
0.7
e6/l
1.59
14
89
28
198
1.92
1.43
5.7
5.9
1.7
1.8
e9/l
0.17
21
179
10
48
2.35
1.38
1.2
1.3
—
—
—
0
0
27
191
1.88
1.36
5.5
5.9
0.0
0.0
e9/l
0.71
21
169
40
326
2.05
1.26
26.0
15.8
35.8
38.5
%
0.68
28
231
18
114
1.89
1.25
5.9
2.9
—
—
—
0
0
20
132
1.85
1.22
3.7
2.3
—
—
—
0
0
17
107
1.88
1.19
5.1
2.9
36.7
111.5
mg/l
—
9
63
5
20
2.66
1.18
1.8
1.4
—
—
—
0
0
35
280
1.80
1.08
4.7
4.0
—
—
—
0
0
18
119
1.79
1.07
4.1
4.6
—
—
—
0
0
44
382
2.10
1.07
5.2
4.6
6.0
5.9
mmol/l
0.10
39
354
26
192
1.72
1.06
5.6
5.8
0.6
0.6
e9/l
0.07
20
168
20
137
1.76
1.06
3.8
3.3
—
—
—
0
0
9
49
2.01
1.05
1.3
1.4
—
432.0
—
0
15
17
111
1.80
1.05
6.4
3.5
5.7
14.4
mg/mmol
—
9
62
23
167
1.69
0.98
6.6
11.0
0.0
0.0
e9/l
0.00
14
136
15
98
1.75
0.91
1.6
1.3
—
—
—
0
0
10
58
1.90
0.87
1.9
2.0
—
—
—
0
0
6
32
1.99
0.85
2.3
4.2
—
—
—
0
0
45
402
2.01
0.84
17.0
14.7
—
—
—
0
0
6
33
1.92
0.82
6.0
2.9
—
—
—
0
0
21
157
1.57
0.76
2.9
2.0
—
—
—
0
0
7
41
1.82
0.73
5.0
3.2
—
—
—
0
0
5
27
1.94
0.70
1.2
1.4
—
—
—
0
0
7
44
1.68
0.68
3.6
1.3
—
—
—
0
0
46
428
1.76
0.51
33.1
23.3
129.4
132.2
g/l
0.88
46
422
46
428
1.76
0.51
32.9
23.1
30.4
30.4
pg
0.10
46
422
46
428
1.76
0.51
33.0
23.1
92.1
91.5
fl
0.40
46
422
21
171
1.39
0.46
4.2
4.7
31.6
81.5
ng/l
0.97
13
124
8
57
1.48
0.45
3.4
2.6
2.0
2.3
g/l
—
8
52
8
58
1.45
0.44
1.8
1.4
—
—
—
0
0
5
32
1.62
0.43
1.6
2.8
—
—
—
0
0
14
107
1.43
0.43
5.1
6.9
—
—
—
0
0
8
60
1.39
0.43
1.9
1.6
—
—
—
0
0
0
15
0.00
0.42
0.0
1.3
—
—
—
0
0
0
15
0.00
0.42
0.0
2.8
—
118.9
—
0
9
9
66
1.44
0.41
1.4
1.3
—
23.9
—
0
27
5
35
1.47
0.40
9.6
7.3
—
—
—
0
0
16
128
1.36
0.38
5.6
5.4
—
—
—
0
0
6
42
1.48
0.37
1.2
1.3
—
—
—
0
0
6
45
1.38
0.35
1.8
1.5
—
—
—
0
0
6
46
1.34
0.34
7.0
4.3
—
—
—
0
0
7
54
1.34
0.32
3.4
2.6
20.0
25.1
%
—
7
48
15
124
1.30
0.28
3.5
4.0
—
—
—
0
0
44
416
1.42
0.25
29.8
18.7
86.1
80.0
umol/l
0.56
44
416
13
107
1.29
0.25
4.4
3.4
—
—
—
0
0
5
38
1.35
0.24
1.6
3.3
68.4
67.9
g/l
—
5
33
0
10
0.00
0.21
0.0
1.5
—
88.8
—
0
10
0
12
0.00
0.21
0.0
3.4
—
4.8
—
0
12
0
12
0.00
0.21
0.0
3.4
—
8.0
—
0
12
0
13
0.00
0.21
0.0
3.2
—
—
—
0
0
0
14
0.00
0.20
0.0
1.0
—
—
—
0
0
0
14
0.00
0.20
0.0
2.8
—
14.2
—
0
6
7
59
1.22
0.19
1.1
1.3
—
—
—
0
0
5
47
1.07
0.10
1.2
1.4
—
—
—
0
0
7
65
1.09
0.08
3.7
2.5
10.2
14.4
umol/l
—
7
58
9
86
1.06
0.07
6.7
5.6
—
—
—
0
0
13
125
1.05
0.00
2.5
2.7
—
—
—
0
0
0
7
0.00
0.00
0.0
1.6
—
—
—
0
0
0
5
0.00
0.00
0.0
2.4
—
—
—
0
0
0
5
0.00
0.00
0.0
1.0
—
—
—
0
0
0
7
0.00
0.00
0.0
1.0
—
—
—
0
0
0
6
0.00
0.00
0.0
1.5
—
—
—
0
0
0
7
0.00
0.00
0.0
1.0
—
—
—
0
0
0
5
0.00
0.00
0.0
1.2
—
239.6
—
0
5
0
7
0.00
0.00
0.0
1.0
—
—
—
0
0
0
5
0.00
0.00
0.0
1.2
—
—
—
0
0
0
5
0.00
0.00
0.0
2.0
—
—
—
0
0
0
5
0.00
0.00
0.0
1.0
—
—
—
0
0
0
5
0.00
0.00
0.0
1.0
—
34.8
—
0
5
0
5
0.00
0.00
0.0
1.0
—
—
—
0
0
0
7
0.00
0.00
0.0
1.9
—
—
—
0
0
0
5
0.00
0.00
0.0
2.2
—
—
—
0
0
0
7
0.00
0.00
0.0
1.1
—
—
—
0
0

Mortality – FinRegistry

Association

Association between endpoint CD2_BENIGN_RENALPELVIS and mortality.

Females

Parameter HR [95% CI] p-value
CD2_BENIGN_RENALPELVIS 2.195 [1.51, 3.2] < 0.001
Birth year 0.995 [0.99, 1.0] 0.211

During the follow-up period (1.1.1998 — 31.12.2019), 71 out of 169 females with CD2_BENIGN_RENALPELVIS died.

Males

Parameter HR [95% CI] p-value
CD2_BENIGN_RENALPELVIS 2.034 [1.28, 3.22] 0.003
Birth year 0.988 [0.98, 1.0] 0.011

During the follow-up period (1.1.1998 — 31.12.2019), 64 out of 125 males with CD2_BENIGN_RENALPELVIS died.

Mortality risk

Mortality risk for people of age

years, who have CD2_BENIGN_RENALPELVIS.

N-year risk Females Males
1 0.193% 0.366%
5 1.243% 2.299%
10 3.296% 5.613%
15 5.789% 10.899%
20 10.092% 17.7%

Relationships between endpoints

Index endpoint: CD2_BENIGN_RENALPELVIS – Benign neoplasm: Renal pelvis

GWS hits: -

Endpoint
Case Overlap
Survival Analysis
Genetic Correlations
Genetic Signals
N (Jaccard index)
HR [CI]
rg [CI]
Hits
Coloc Hits
FinRegistry
FinnGen
FinRegistry
FinnGen
FinnGen
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