No definition available.
Endpoint definition
↥Report an error or suggest an improvement for this endpoint codes
Endpoint definition steps |
FinnGen |
|---|---|
Phenotype data |
519870 |
1. Apply sex-specific ruleNone |
519870 |
2. Check conditionsNone |
519870 |
3. Check pre-conditions, main-only, mode, registry filtersRegistry filters:
2 out of 7 registries used, show all original rules. |
583 |
4. Check minimum number of eventsNone |
583 |
5. Include endpointsNone |
583 |
6. Filter based on genotype QC (FinnGen only) |
551 |
Control definitions (FinnGen only)
- Control exclude
- AB1_INTESTINAL_INFECTIONS
Extra metadata
- Level in the ICD hierarchy
- 3
- First used in FinnGen datafreeze
- DF5
Similar endpoints
↥List of similar endpoints to
Other protozoal intestinal diseases
based on the number of shared cases.
Similar with more cases:
- Other protozoal intestinal diseases, including avohilmo
- Intestinal infectious diseases
- Intestinal infectious diseases, including avohilmo, including avohilmo
- Certain infectious and parasitic diseases
- Certain infectious and parasitic diseases, including avohilmo
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
| All | Female | Male | |
|---|---|---|---|
| Number of individuals | |||
| Whole population | 4130 | 2179 | 1912 |
| Only index persons | 3443 | 1892 | 1551 |
| Unadjusted period prevalence (%) | |||
| Whole population | 0.06 | 0.06 | 0.05 |
| Only index persons | 0.06 | 0.07 | 0.06 |
| Median age at first event (years) | |||
| Whole population | 32.48 | 34.90 | 29.57 |
| Only index persons | 34.41 | 35.94 | 32.55 |
-FinnGen-
Key figures
| All | Female | Male | |
|---|---|---|---|
| Number of individuals | 551 | 362 | 189 |
| Unadjusted period prevalence (%) | 0.11 | 0.13 | 0.09 |
| Median age at first event (years) | 45.40 | 43.34 | 49.34 |
-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
↥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
- 583
- Matched controls
- 5830
TimeCodeWAS
↥TODO / Current known limitations:
- Only showing the top 500 codes, because showing all (sometimes 20k) makes the page too slow.
- Legend / how to read the glyphs.
- Proper column names.
- Show details (e.g. Fisher or Chi-square test, N cases and N controls) when clicking on a row.
- Explanation on the underlying data / how the TimeCodeWAS is done (e.g. matched cases / controls, eligibility).
- Download CSV not working.
- No filters and sorters.
- Limited amount of endpoints with TimeCodeWAS data.
- Cross-links to Risteys lab test pages for lab test codes.
A07.8 (45547388)
A07.1 (45590797)
A07.9 (45566491)
88928-7 (36305771)
92687-3 (37020937)
SMOKING-2-3-0 (2002330113)
92689-9 (37020300)
50373000 (4177340)
60621009 (4245997)
70295-1 (42868766)
A07.2 (45590798)
GD1AA (2001303617)
ZXE00 (2001311394)
SMOKING-2-2-0 (2002330110)
P01AB01 (21604857)
ERIP (262)
10704-5 (3003327)
20740-7 (3006418)
28549-4 (3014765)
1798-8 (3016771)
30405-5 (3018095)
28023-0 (3022145)
625-4 (3025941)
51480-2 (3031040)
24357-6 (3037467)
38445-3 (3048689)
54067-4 (3051552)
92695-6 (37019628)
11 (38004456)
44 (38004484)
82300-5 (42529406)
106 (44777669)
R10.4 (45568113)
A09 (45605189)
IP (9201)
2458-8 (3007164)
1988-5 (3020460)
31017-7 (3019050)
10 (38004455)
94494-2 (36660697)
UJF32 (2001305029)
715-3 (3021589)
OP (9202)
751-8 (3013650)
2951-2 (3019550)
2823-3 (3023103)
75622-1 (46235355)
1742-6 (3006923)
30385-9 (3002385)
62238-1 (40764999)
14682-9 (3020564)
K59.1 (45543327)
69738-3 (42870588)
26485-3 (3019069)
26511-6 (3018010)
30180-4 (3022096)
26450-7 (3006504)
28540-3 (3003338)
26478-8 (3002030)
26484-6 (3001604)
26444-0 (3006315)
26464-8 (3010813)
26474-7 (3019198)
OMOP4822461 (32036)
20570-8 (3009542)
26515-7 (3007461)
26453-1 (3026361)
718-7 (3000963)
30428-7 (3024731)
26449-9 (3013115)
28539-5 (3035941)
UJD10 (2001304788)
6768-6 (3035995)
31843-6 (3013139)
OMOP5117446 (33004)
Z2221 (2001311556)
20955-1 (3004716)
29760-6 (3005772)
4537-7 (3013707)
32998-7 (3046870)
72872-5 (43534045)
14631-6 (3006140)
1751-7 (3024561)
D11 (2002000310)
1805-1 (3016417)
25907-7 (3000570)
251B00000X (38004193)
58410-2 (40761511)
D01 (2002000300)
66114-0 (40768797)
19875-4 (3001668)
20155-8 (3023550)
69970-2 (42868459)
69982-7 (42868471)
69983-5 (42868472)
19072-8 (3016431)
66121-5 (40768804)
ER (9203)
55429-5 (40758558)
2276-4 (3001122)
OMOP4822462 (581458)
OMOP5556618 (722455)
3016-3 (3009201)
207NI0002X (38003841)
ZXD10 (2001311387)
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint AB1_OTHER_PROTOZOAL and mortality.
Females
| Parameter | HR [95% CI] | p-value |
|---|---|---|
| AB1_OTHER_PROTOZOAL | 1.862 [1.43, 2.42] | < 0.001 |
| Birth year | 0.997 [0.99, 1.01] | 0.498 |
During the follow-up period (1.1.1998 — 31.12.2019), 137 out of 1428 females with AB1_OTHER_PROTOZOAL died.
Males
| Parameter | HR [95% CI] | p-value |
|---|---|---|
| AB1_OTHER_PROTOZOAL | 1.772 [1.39, 2.27] | < 0.001 |
| Birth year | 0.987 [0.98, 1.0] | 0.013 |
During the follow-up period (1.1.1998 — 31.12.2019), 128 out of 1146 males with AB1_OTHER_PROTOZOAL died.
Mortality risk
Mortality risk for people of age
years, who have AB1_OTHER_PROTOZOAL.| N-year risk | Females | Males |
|---|---|---|
| 1 | 0.177% | 0.302% |
| 5 | 1.094% | 1.879% |
| 10 | 2.787% | 4.981% |
| 15 | 5.699% | 9.485% |
| 20 | 9.974% | 15.868% |
Relationships between endpoints
↥Index endpoint: AB1_OTHER_PROTOZOAL – Other protozoal intestinal diseases
GWS hits: -