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

See these related core endpoints for full statistics:

Abscess of thymus

E4_ABSCTHY

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 E32.1
  • Hospital discharge: ICD-9 2541
  • Cause of death: ICD-10 E32.1
  • Cause of death: ICD-9 2541

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

7

4. Check minimum number of events

None

7

5. Include endpoints

None

7

6. Filter based on genotype QC (FinnGen only)

7

Control definitions (FinnGen only)

Control exclude
E4_ENDOGLAND

Extra metadata

Level in the ICD hierarchy
4
First used in FinnGen datafreeze
DF2
Parent code in ICD-10
E32
Name in latin
Abscessus thymi

Case counts by codes

FinnGen case counts by registry codes:

Not enough data for upset plot.

Not enough data for upset table.

Summary Statistics

-FinRegistry-

Key figures

All Female Male
Number of individuals
Whole population 62 38 24
Only index persons 34 24 10
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 - 58.86 51.42
Only index persons 41.85 41.91 41.71

-FinnGen-

Key figures

All Female Male
Number of individuals 7 - -
Unadjusted period prevalence (%) 0.00 - -
Median age at first event (years) 38.10 - -

-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
0
18
0.00
0.72
0.0
4.3
—
—
—
0
0
7
59
+∞
0.23
66.4
10.9
139.6
139.6
mmol/l
—
7
59
7
60
+∞
0.23
67.7
11.0
4.0
4.0
mmol/l
—
7
60
0
7
0.00
0.00
0.0
1.1
—
—
—
0
0
0
5
0.00
0.00
0.0
1.2
—
—
—
0
0
0
5
0.00
0.00
0.0
1.0
—
—
—
0
0
0
5
0.00
0.00
0.0
1.4
—
—
—
0
0
7
63
+∞
0.00
54.7
10.5
25.6
22.1
mg/l
—
7
53
7
63
+∞
0.00
49.7
9.5
—
—
—
0
0
7
63
+∞
0.00
45.9
11.9
153.0
75.2
umol/l
—
7
63
0
5
0.00
0.00
0.0
4.4
—
—
—
0
0

Mortality – FinRegistry

Association

Association between endpoint E4_ABSCTHY and mortality.

Females

No data

Males

No data

Mortality risk

Mortality risk for people of age

years, who have E4_ABSCTHY.

N-year risk Females Males
1 No data No data
5 No data No data
10 No data No data
15 No data No data
20 No data No data

Relationships between endpoints

Index endpoint: E4_ABSCTHY – Abscess of thymus

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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