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

See these related core endpoints for full statistics:

Trichinellosis

AB1_TRICHINELLOSIS

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 B75
  • Hospital discharge: ICD-9 124
  • Hospital discharge: ICD-8 124
  • Cause of death: ICD-10 B75
  • Cause of death: ICD-9 124
  • Cause of death: ICD-8 124

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

5

4. Check minimum number of events

None

5

5. Include endpoints

None

5

6. Filter based on genotype QC (FinnGen only)

5

Control definitions (FinnGen only)

Control exclude
AB1_HELMINTIASES

Extra metadata

Level in the ICD hierarchy
3
First used in FinnGen datafreeze
DF5

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 79 39 36
Only index persons 46 20 26
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 47.00 49.63 43.78
Only index persons 38.37 37.40 39.11

-FinnGen-

Key figures

All Female Male
Number of individuals 5 - -
Unadjusted period prevalence (%) 0.00 - -
Median age at first event (years) 44.16 - -

-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
16
0.00
0.51
0.0
2.1
—
—
—
0
0
0
11
0.00
0.24
0.0
5.6
—
—
—
0
0
0
9
0.00
0.24
0.0
1.7
—
1.0
—
0
9
0
5
0.00
0.00
0.0
3.8
—
—
—
0
0
0
5
0.00
0.00
0.0
1.2
—
—
—
0
0

Mortality – FinRegistry

Association

Association between endpoint AB1_TRICHINELLOSIS and mortality.

Females

No data

Males

No data

Mortality risk

Mortality risk for people of age

years, who have AB1_TRICHINELLOSIS.

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: AB1_TRICHINELLOSIS – Trichinellosis

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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