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This is a non-core endpoint: only basic statistics are computed.

See these related core endpoints for full statistics:

Hypergammalglobulinemia, unspecified

D3_HYPERGAMMAGLONAS

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 D89.2
  • Cause of death: ICD-10 D89.2

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

35

4. Check minimum number of events

None

35

5. Include endpoints

None

35

6. Filter based on genotype QC (FinnGen only)

35

Control definitions (FinnGen only)

Control exclude
D3_IMMUNEMECHANISM

Extra metadata

Level in the ICD hierarchy
4
First used in FinnGen datafreeze
DF2
Parent code in ICD-10
D89
Name in latin
Hypergammaglobulinaemia non specificata

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 225 103 120
Only index persons 169 84 85
Unadjusted period prevalence (%)
Whole population 0.00 0.00 0.00
Only index persons 0.00 0.00 0.00
Median age at first event (years)
Whole population 66.41 65.47 67.14
Only index persons 64.83 64.44 65.22

-FinnGen-

Key figures

All Female Male
Number of individuals 35 15 20
Unadjusted period prevalence (%) 0.01 0.01 0.01
Median age at first event (years) 60.02 51.45 66.45

-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

Not a core endpoint, no data to show.

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
11
19
7.98
6.56
4.6
1.7
74.2
67.9
g/l
1.00
11
14
6
0
+∞
6.43
1.8
0.0
—
—
—
0
0
10
16
8.35
6.34
4.6
1.6
—
—
—
0
0
5
0
+∞
5.33
2.6
0.0
1890.0
—
ml
—
5
0
19
84
3.76
3.60
10.3
5.2
—
—
—
0
0
22
113
3.55
3.22
11.0
6.0
0.6
0.7
%
0.18
22
108
5
5
11.34
3.07
2.8
1.2
0.2
0.2
g/l
—
5
5
5
5
11.34
3.07
2.8
1.4
1.3
0.9
g/l
—
5
5
22
116
3.41
3.03
11.2
6.4
28.5
26.6
%
0.34
22
111
16
70
3.37
2.97
14.1
3.3
7.4
7.4
ph
—
6
15
5
6
9.44
2.84
1.2
1.3
—
—
—
0
0
5
7
8.08
2.63
5.8
1.7
—
—
—
0
0
5
7
8.08
2.63
5.8
2.0
4.6
5.3
kpa
—
5
7
5
7
8.08
2.63
5.8
2.0
9.1
7.2
kpa
—
5
7
5
8
7.05
2.45
1.2
1.1
—
—
—
0
0
5
9
6.26
2.29
7.6
1.8
—
—
—
0
0
5
10
5.62
2.14
3.0
5.5
23.9
24.6
mmol/l
—
5
10
7
24
3.38
1.83
2.3
1.2
—
—
—
0
0
8
31
3.04
1.79
2.3
1.8
—
—
—
0
0
5
13
4.29
1.78
8.6
2.2
4.8
4.7
kpa
—
5
13
7
25
3.24
1.75
2.4
1.3
—
—
—
0
0
6
20
3.40
1.66
9.5
5.4
—
—
—
0
0
6
21
3.23
1.58
1.3
1.2
—
—
—
0
0
17
103
2.26
1.49
5.2
2.1
155.6
84.1
ug/l
1.03
17
95
11
55
2.46
1.46
10.3
4.9
—
—
—
0
0
6
23
2.93
1.43
2.2
1.3
—
—
—
0
0
26
197
2.24
1.32
7.5
3.9
31.3
10.7
mm/h
2.25
26
174
8
40
2.29
1.21
3.6
1.5
—
—
—
0
0
8
41
2.23
1.18
9.6
1.6
13.5
14.5
umol/l
—
8
36
7
32
2.48
1.16
1.9
1.4
—
297.1
—
0
7
12
69
2.12
1.14
8.8
3.7
—
—
—
0
0
5
21
2.60
1.13
5.8
3.0
—
—
—
0
0
9
49
2.12
1.09
3.7
2.1
—
—
—
0
0
7
35
2.24
1.07
4.6
1.3
—
—
—
0
0
16
105
1.96
1.07
5.6
3.0
—
—
—
0
0
16
106
1.94
1.03
12.8
7.7
1.3
1.1
inr
—
5
38
12
75
1.91
0.89
3.5
4.0
—
—
—
0
0
24
188
1.88
0.88
5.5
4.5
14.9
15.1
pmol/l
0.15
24
166
12
76
1.88
0.86
9.9
2.4
—
—
—
0
0
5
25
2.16
0.76
19.4
3.4
—
—
—
0
0
19
143
1.72
0.76
10.4
6.7
9.1
11.4
umol/l
1.50
19
137
5
26
2.07
0.74
3.0
1.9
—
—
—
0
0
12
83
1.68
0.62
4.7
2.5
112.6
51.4
u/l
0.49
12
78
6
40
1.60
0.54
1.0
1.3
—
—
—
0
0
10
68
1.66
0.54
7.1
4.8
—
—
—
0
0
27
239
1.57
0.47
6.1
4.9
2.6
2.0
mu/l
0.96
27
212
8
58
1.49
0.46
8.8
2.9
—
—
—
0
0
10
71
1.57
0.45
2.3
1.4
19.5
18.6
nmol/l
—
10
58
14
111
1.44
0.38
2.6
1.8
80.5
93.2
pmol/l
—
8
59
8
105
0.69
0.36
3.4
3.0
—
—
—
0
0
8
65
1.30
0.30
1.6
1.7
1.3
1.4
mmol/l
—
8
53
9
73
1.31
0.29
3.6
3.0
—
—
—
0
0
20
223
0.76
0.25
26.1
17.3
331.9
332.5
g/l
0.12
20
223
20
177
1.30
0.24
10.8
4.5
—
—
—
0
0
15
129
1.28
0.22
10.3
3.6
0.0
0.0
estimate
—
5
26
0
11
0.00
0.22
0.0
1.2
—
—
—
0
0
0
10
0.00
0.22
0.0
1.1
—
—
—
0
0
6
76
0.75
0.18
13.7
3.8
—
—
—
0
0
22
236
0.82
0.14
20.2
15.0
38.5
40.4
%
0.78
15
170
20
187
1.16
0.09
5.5
3.8
—
—
—
0
0
19
177
1.16
0.09
8.0
4.0
—
26.2
—
0
5
29
294
0.92
0.09
41.6
19.9
127.7
135.8
g/l
2.19
29
289
29
294
0.92
0.09
40.9
19.6
31.0
30.4
pg
0.77
29
289
29
294
0.92
0.09
41.1
19.7
93.2
91.1
fl
1.12
29
289
29
294
0.92
0.09
41.4
19.7
6.9
6.5
e9/l
0.51
29
287
29
294
0.92
0.09
41.2
19.7
4.2
4.5
e12/l
3.01
29
286
29
293
0.94
0.09
41.4
19.8
250.2
247.1
e9/l
0.07
29
287
27
277
0.89
0.08
27.3
12.7
—
—
—
0
0
7
82
0.82
0.08
3.6
2.1
—
—
—
0
0
23
219
1.15
0.07
31.7
16.2
13.6
13.6
%
0.05
23
214
11
105
1.07
0.00
3.0
2.0
—
—
—
0
0
24
245
0.94
0.00
9.2
6.1
41.5
40.0
mmol/mol
0.30
24
226
13
132
0.98
0.00
11.8
3.6
0.0
0.0
estimate
—
5
25
13
129
1.01
0.00
14.8
4.8
0.0
0.0
estimate
—
5
26
0
5
0.00
0.00
0.0
5.0
—
4.1
—
0
5
0
5
0.00
0.00
0.0
2.4
—
6.0
—
0
5
0
5
0.00
0.00
0.0
5.4
—
19.6
—
0
5
0
5
0.00
0.00
0.0
1.6
—
—
—
0
0
0
5
0.00
0.00
0.0
5.0
—
—
—
0
0
0
5
0.00
0.00
0.0
1.4
—
—
—
0
0
0
5
0.00
0.00
0.0
5.0
—
105.8
—
0
5
0
6
0.00
0.00
0.0
1.5
—
—
—
0
0
0
6
0.00
0.00
0.0
1.7
—
—
—
0
0
28
272
1.15
0.00
32.1
14.7
4.0
4.0
mmol/l
0.28
28
267
6
65
0.91
0.00
2.2
1.5
—
—
—
0
0
0
6
0.00
0.00
0.0
1.0
—
228.0
—
0
6
0
6
0.00
0.00
0.0
5.5
—
1.4
—
0
6
0
8
0.00
0.00
0.0
1.4
—
—
—
0
0
6
62
0.96
0.00
4.3
3.0
—
1.0
—
0
11
0
8
0.00
0.00
0.0
5.4
—
—
—
0
0
0
7
0.00
0.00
0.0
3.1
—
—
—
0
0
0
6
0.00
0.00
0.0
1.7
—
—
—
0
0
0
6
0.00
0.00
0.0
5.5
—
9.5
—
0
6
0
6
0.00
0.00
0.0
1.7
—
—
—
0
0
0
7
0.00
0.00
0.0
1.0
—
—
—
0
0
0
6
0.00
0.00
0.0
8.0
—
—
—
0
0
29
282
1.17
0.00
35.9
15.6
113.8
78.5
umol/l
1.48
29
282

Mortality – FinRegistry

Association

Association between endpoint D3_HYPERGAMMAGLONAS and mortality.

Females

No data

Males

Parameter HR [95% CI] p-value
D3_HYPERGAMMAGLONAS 2.562 [1.51, 4.34] < 0.001
Birth year 0.988 [0.98, 1.0] 0.015

During the follow-up period (1.1.1998 — 31.12.2019), 57 out of 109 males with D3_HYPERGAMMAGLONAS died.

Mortality risk

Mortality risk for people of age

years, who have D3_HYPERGAMMAGLONAS.

N-year risk Females Males
1 No data 0.467%
5 No data 2.937%
10 No data 7.793%
15 No data 14.578%
20 No data 23.334%

Relationships between endpoints

Index endpoint: D3_HYPERGAMMAGLONAS – Hypergammalglobulinemia, unspecified

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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