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

Iodine-deficiency-related goitre

E4_IODGOITRE

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 E01
  • Hospital discharge: excluded ICD-10 E01.8
  • Cause of death: ICD-10 E01
  • Cause of death: excluded ICD-10 E01.8

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

42

4. Check minimum number of events

None

42

5. Include endpoints

None

42

6. Filter based on genotype QC (FinnGen only)

42

Control definitions (FinnGen only)

Control exclude
E4_THYROID

Extra metadata

Level in the ICD hierarchy
3
First used in FinnGen datafreeze
DF2
Parent code in ICD-10
E00-E07
Name in latin
Morbositates glandulae thyreoideae ex deficientia iodi et status cognati

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 352 252 94
Only index persons 293 222 71
Unadjusted period prevalence (%)
Whole population 0.01 0.01 0.00
Only index persons 0.01 0.01 0.00
Median age at first event (years)
Whole population 57.83 57.85 56.58
Only index persons 53.36 55.22 47.56

-FinnGen-

Key figures

All Female Male
Number of individuals 42 32 10
Unadjusted period prevalence (%) 0.01 0.01 0.00
Median age at first event (years) 54.59 55.11 52.94

-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
5
8
6.90
2.44
2.4
3.5
—
—
—
0
0
7
26
3.02
1.66
1.7
10.6
—
—
—
0
0
6
22
3.00
1.49
1.2
1.2
—
—
—
0
0
8
39
2.29
1.23
3.6
6.0
—
—
—
0
0
5
20
2.69
1.18
3.2
3.3
32.6
18.7
u/ml
—
5
20
5
21
2.56
1.12
1.6
4.7
—
—
—
0
0
14
88
1.89
1.00
6.9
3.0
40.2
21.0
mg/l
—
7
47
6
27
2.42
0.98
5.0
3.3
—
—
—
0
0
15
99
1.80
0.92
8.5
3.8
7.5
4.1
mg/mmol
—
9
51
8
45
1.96
0.91
2.8
2.5
12.6
13.1
umol/l
—
8
40
16
110
1.73
0.85
4.4
3.3
—
—
—
0
0
5
28
1.89
0.68
4.8
5.6
—
—
—
0
0
16
118
1.57
0.63
2.4
2.2
—
—
—
0
0
18
137
1.55
0.62
3.2
9.7
1.4
1.3
inr
—
7
48
6
37
1.72
0.58
1.7
1.4
—
—
—
0
0
12
84
1.60
0.57
4.8
2.9
—
—
—
0
0
7
46
1.62
0.51
2.7
2.3
—
—
—
0
0
7
46
1.62
0.51
2.1
2.2
2.5
2.3
g/l
—
7
40
19
152
1.46
0.49
10.1
5.3
0.7
0.7
%
0.06
19
137
6
92
0.59
0.49
1.3
1.3
—
—
—
0
0
14
106
1.48
0.47
9.9
5.3
—
—
—
0
0
35
317
1.62
0.47
15.7
14.4
38.1
39.2
%
0.20
21
225
19
156
1.40
0.41
8.5
5.2
63.5
56.6
%
1.26
19
145
22
186
1.38
0.40
5.2
6.8
8.2
10.3
umol/l
1.36
22
176
19
157
1.38
0.39
9.9
5.3
3.3
3.0
%
0.15
19
145
6
41
1.54
0.38
11.3
7.9
1.1
1.1
mmol/l
—
6
36
6
42
1.50
0.37
1.2
1.6
—
—
—
0
0
19
158
1.37
0.37
10.2
5.6
9.3
8.2
%
0.62
19
146
6
43
1.46
0.37
2.3
2.4
25.3
22.8
%
—
6
36
29
259
1.39
0.36
3.3
3.9
11.2
12.0
mm/h
0.19
29
231
13
102
1.40
0.35
4.5
3.4
—
—
—
0
0
19
160
1.34
0.34
10.8
5.4
23.2
27.9
%
1.21
19
146
33
303
1.41
0.33
20.4
17.6
328.6
331.3
g/l
0.91
33
303
10
77
1.39
0.29
10.6
7.4
—
—
—
0
0
27
243
1.31
0.28
6.3
5.0
—
—
—
0
0
8
103
0.72
0.24
6.4
3.9
—
—
—
0
0
5
39
1.32
0.24
1.4
1.7
—
—
—
0
0
0
10
0.00
0.21
0.0
1.0
—
—
—
0
0
0
10
0.00
0.21
0.0
2.6
—
—
—
0
0
6
48
1.29
0.21
1.0
1.3
—
—
—
0
0
0
12
0.00
0.21
0.0
1.1
—
878.5
—
0
12
0
12
0.00
0.21
0.0
1.1
—
328.8
—
0
12
0
12
0.00
0.21
0.0
1.0
—
3.6
—
0
12
37
354
1.38
0.18
16.3
13.9
—
—
—
0
0
9
81
1.14
0.16
3.4
3.9
—
—
—
0
0
33
316
1.21
0.15
8.9
5.7
42.7
39.5
mmol/mol
0.83
28
300
25
232
1.19
0.15
4.0
3.6
—
—
—
0
0
11
122
0.87
0.08
3.9
3.2
—
—
—
0
0
9
85
1.07
0.07
3.2
3.2
—
—
—
0
0
15
144
1.06
0.01
7.0
3.8
—
—
—
0
0
15
151
0.99
0.00
1.8
2.3
—
—
—
0
0
12
124
0.95
0.00
2.9
1.9
99.8
99.2
pmol/l
—
6
49
9
88
1.03
0.00
7.8
3.6
—
—
—
0
0
6
61
0.98
0.00
1.2
1.4
—
24.1
—
0
24
0
7
0.00
0.00
0.0
1.1
—
—
—
0
0
0
9
0.00
0.00
0.0
1.1
—
—
—
0
0
0
5
0.00
0.00
0.0
1.8
—
—
—
0
0
0
9
0.00
0.00
0.0
1.1
—
—
—
0
0
0
6
0.00
0.00
0.0
11.0
—
54.0
—
0
6
0
8
0.00
0.00
0.0
1.3
—
—
—
0
0
8
82
0.97
0.00
1.9
2.2
0.9
1.2
mg/l
—
8
70
0
5
0.00
0.00
0.0
1.2
—
—
—
0
0
0
9
0.00
0.00
0.0
1.0
—
—
—
0
0
0
5
0.00
0.00
0.0
1.6
—
—
—
0
0
0
5
0.00
0.00
0.0
1.6
—
—
—
0
0
0
7
0.00
0.00
0.0
1.3
—
—
—
0
0
0
6
0.00
0.00
0.0
1.2
—
—
—
0
0
0
5
0.00
0.00
0.0
1.6
—
—
—
0
0
0
5
0.00
0.00
0.0
1.6
—
—
—
0
0
0
5
0.00
0.00
0.0
1.4
—
—
—
0
0
0
5
0.00
0.00
0.0
1.6
—
—
—
0
0
0
7
0.00
0.00
0.0
1.1
—
—
—
0
0

Mortality – FinRegistry

Association

Association between endpoint E4_IODGOITRE and mortality.

Females

Parameter HR [95% CI] p-value
E4_IODGOITRE 1.518 [1.02, 2.26] 0.04
Birth year 0.999 [0.99, 1.01] 0.858

During the follow-up period (1.1.1998 — 31.12.2019), 59 out of 232 females with E4_IODGOITRE died.

Males

No data

Mortality risk

Mortality risk for people of age

years, who have E4_IODGOITRE.

N-year risk Females Males
1 0.175% No data
5 1.058% No data
10 2.718% No data
15 5.199% No data
20 8.893% No data

Relationships between endpoints

Index endpoint: E4_IODGOITRE – Iodine-deficiency-related goitre

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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