No definition available.
Endpoint definition
↥
Endpoint definition steps |
FinnGen |
---|---|
Phenotype data |
520210 |
1. Apply sex-specific ruleNone |
520210 |
2. Check conditionsNone |
520210 |
3. Check pre-conditions, main-only, mode, registry filtersRegistry filters: 2 out of 7 registries used, show all original rules. |
151 |
4. Check minimum number of eventsNone |
151 |
5. Include endpointsNone |
151 |
6. Filter based on genotype QC (FinnGen only) |
151 |
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
- D81
- Name in latin
- Syndroma Nezelof
Similar endpoints
↥List of similar endpoints to Nezelof syndrome based on the number of shared cases.
Similar with more cases:
- Combined immunodeficiencies
- Immunodeficiencies
- Certain disorders involving the immune mechanism
- Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism
- Any operation in hilmo
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 1192 | 627 | 560 |
Only index persons | 1015 | 541 | 474 |
Unadjusted period prevalence (%) | |||
Whole population | 0.02 | 0.02 | 0.02 |
Only index persons | 0.02 | 0.02 | 0.02 |
Median age at first event (years) | |||
Whole population | 57.80 | 56.96 | 58.61 |
Only index persons | 56.18 | 55.27 | 57.21 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 151 | 88 | 63 |
Unadjusted period prevalence (%) | 0.03 | 0.03 | 0.03 |
Median age at first event (years) | 54.59 | 50.41 | 60.43 |
-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
-FinnGen-
Cumulative Incidence Function
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.
Matched cohort
- Matched cases
- 143
- Matched controls
- 1431
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint D3_NEFELOF and mortality.
Females
Parameter | HR [95% CI] | p-value |
---|---|---|
D3_NEFELOF | 2.605 [2.14, 3.17] | < 0.001 |
Birth year | 0.995 [0.99, 1.0] | 0.251 |
During the follow-up period (1.1.1998 — 31.12.2019), 196 out of 545 females with D3_NEFELOF died.
Males
Parameter | HR [95% CI] | p-value |
---|---|---|
D3_NEFELOF | 2.144 [1.72, 2.67] | < 0.001 |
Birth year | 0.985 [0.98, 0.99] | 0.002 |
During the follow-up period (1.1.1998 — 31.12.2019), 232 out of 494 males with D3_NEFELOF died.
Mortality risk
Mortality risk for people of age
years, who have D3_NEFELOF.N-year risk | Females | Males |
---|---|---|
1 | 0.214% | 0.381% |
5 | 1.519% | 2.293% |
10 | 3.579% | 5.701% |
15 | 7.055% | 11.045% |
20 | 12.424% | 18.225% |
Relationships between endpoints
↥Index endpoint: D3_NEFELOF – Nezelof syndrome
GWS hits: 1