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

See these related core endpoints for full statistics:

L12_HAIRLOSSNONSCAR

Alopecia mucinosa

L12_ALOPECMUC

follicular mucinosis: an uncommon inflammatory disorder that characteristically presents as follicular papules and/or indurated plaques.

Suggest a new description

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 — L65.2# Hospital discharge: ICD-9 — 7040E Cause of death: ICD-10 — L65.2# Cause of death: ICD-9 — 7040E 2 out of 7 registries used, show all original rules.	12
4. Check minimum number of events None	12
5. Include endpoints None	12
6. Filter based on genotype QC (FinnGen only)	12

Control definitions (FinnGen only)

Control exclude: L12_DISORDSKINAPPENDIX

Extra metadata

Level in the ICD hierarchy: 4
First used in FinnGen datafreeze: DF2
Parent code in ICD-10: L65
Name in latin: Alopecia mucinosa

NAME	L12_ALOPECMUC
CONTROL_EXCLUDE	L12_DISORDSKINAPPENDIX
CONTROL_PRECONDITIONS
CONTROL_CONDITIONS
SEX
INCLUDE
PRE_CONDITIONS
CONDITIONS
OUTPAT_ICD
OUTPAT_OPER
HD_MAINONLY
HD_ICD_10_ATC
HD_ICD_10	L652
HD_ICD_9	7040E
HD_ICD_8	$!$	The FinnGen clinical team has checked and no code can be used for this rule.
HD_ICD_10_EXCL
HD_ICD_9_EXCL
HD_ICD_8_EXCL
COD_MAINONLY
COD_ICD_10	L652
COD_ICD_9	7040E
COD_ICD_8	$!$	The FinnGen clinical team has checked and no code can be used for this rule.
COD_ICD_10_EXCL
COD_ICD_9_EXCL
COD_ICD_8_EXCL
OPER_NOM
OPER_HL
OPER_HP1
OPER_HP2
KELA_REIMB
KELA_REIMB_ICD
KELA_ATC_NEEDOTHER
KELA_ATC
KELA_VNRO_NEEDOTHER
KELA_VNRO
CANC_TOPO
CANC_TOPO_EXCL
CANC_MORPH
CANC_MORPH_EXCL
CANC_BEHAV

Similar endpoints

↥

List of similar endpoints to Alopecia mucinosa based on the number of shared cases.

Similar with more cases:

Similar with less cases:

Alopecia mucinosa, drug-induced

Case counts by codes

↥

FinnGen case counts by registry codes:

Upset plot

Full data table

Summary Statistics

↥

-FinRegistry-

Key figures

	All	Female	Male
Number of individuals
Whole population	97	55	42
Only index persons	95	53	42
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	-	47.41	35.76
Only index persons	41.30	45.69	35.76

-FinnGen-

Key figures

	All	Female	Male
Number of individuals	12	9	-
Unadjusted period prevalence (%)	0.00	0.00	-
Median age at first event (years)	39.25	39.88	-

-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

↥

(ID) Name

N Cases

N Controls

-log₁₀(p)

cases

controls

cases

controls

unit

-log₁₀(p)

N cases

N controls

(3025839) Triglyceride [Moles/volume] in Serum or Plasma

0.00

0.91

0.0

1.6

—

1.4

—

(3019050) Tissue transglutaminase IgA Ab [Units/volume] in Serum

2.83

0.87

1.2

1.3

—

0.6

—

(3041096) Erythrocytes [Presence] in Urine by Automated

2.44

0.79

2.2

3.1

—

(40763086) Leukocyte esterase [Presence] in Urine by Automated test strip

2.61

0.74

2.0

3.1

—

(3041942) Cyclic citrullinated peptide Ab [Units/volume] in Serum

0.00

0.67

0.0

1.4

—

4.4

—

(3026008) Bacteria identified in Urine by Culture

2.23

0.53

3.0

2.0

—

(3015736) pH of Urine

1.87

0.49

2.6

2.3

—

(3009261) Glucose [Presence] in Urine by Test strip

1.92

0.46

2.8

3.1

—

0.0

—

(3035350) Ketones [Presence] in Urine by Test strip

1.92

0.46

2.8

3.0

—

0.0

—

(3021601) Nitrite [Presence] in Urine by Test strip

1.85

0.45

5.3

4.2

—

0.0

—

(40761511) CBC panel - Blood by Automated count

104

+∞

0.44

14.1

9.2

—

(3017143) Hepatitis C virus Ab [Presence] in Serum

0.00

0.44

0.0

1.6

—

(40768804) Tissue Pathology biopsy report

1.73

0.29

3.4

2.1

—

(40761536) Microorganisms panel - Urine sediment

0.00

0.22

0.0

2.6

—

(3011371) Neisseria gonorrhoeae DNA [Presence] in Specimen by NAA with probe detection

0.00

0.22

0.0

1.2

—

(3014111) Lactate [Moles/volume] in Serum or Plasma

0.00

0.22

0.0

3.1

—

0.8

—

(3044491) Cholesterol non HDL [Mass/volume] in Serum or Plasma

0.00

0.22

0.0

1.5

—

(46236952) Glomerular filtration rate/1.73 sq M.predicted [Volume Rate/Area] in Serum, Plasma or Blood by Creatinine-based formula (MDRD)

0.00

0.22

0.0

3.5

—

71.2

—

(3000494) Fungus identified in Specimen by Culture

0.00

0.22

0.0

1.3

—

(3018677) aPTT in Platelet poor plasma by Coagulation assay

0.00

0.22

0.0

1.5

—

31.9

—

(3006093) Chlamydia trachomatis DNA [Presence] in Specimen by NAA with probe detection

0.00

0.22

0.0

1.3

—

(3014576) Chloride [Moles/volume] in Serum or Plasma

0.00

0.0

3.4

—

102.3

—

(21492888) Glucose tolerance 2 hours gestational panel - Serum or Plasma

0.00

0.0

1.8

—

(3034780) Angiotensin converting enzyme [Enzymatic activity/volume] in Serum or Plasma

0.00

0.0

1.2

—

28.8

—

(4034850)

0.00

0.0

7.6

—

(3017446) Testosterone [Moles/volume] in Serum or Plasma

0.00

0.0

1.8

—

16.4

—

(3026989) Triiodothyronine (T3) Free [Moles/volume] in Serum or Plasma

0.00

0.0

4.0

—

4.6

—

(586526) SARS-CoV-2 (COVID-19) RNA [Presence] in Nasopharynx by NAA with probe detection

0.00

0.0

1.2

—

(3000991) Gas panel - Venous blood

0.00

0.0

3.5

—

(706163) SARS-CoV-2 (COVID-19) RNA [Presence] in Respiratory system specimen by NAA with probe detection

1.07

0.00

3.1

3.4

—

(3019225) pH of Specimen

0.00

0.0

3.3

—

(4035726)

0.00

0.0

1.0

—

(3025941) Bacteria identified in Stool by Culture

0.00

0.0

1.0

—

(3024891) Influenza virus A+B Ag [Presence] in Specimen

0.00

0.0

1.4

—

(3014007) Fractional oxyhemoglobin in Arterial blood

0.00

0.0

5.2

—

97.2

—

(3016293) Bicarbonate [Moles/volume] in Serum or Plasma

0.00

0.0

3.0

—

25.2

—

(3045783) Sodium and Potassium panel [Moles/volume] - Serum or Plasma

0.00

0.0

3.8

—

(3019902) Methicillin resistant Staphylococcus aureus [Presence] in Specimen by Organism specific culture

0.00

0.0

4.6

—

(40768793) Breast Pathology biopsy report

0.00

0.0

1.3

—

(3037467) Urinalysis macro (dipstick) panel - Urine

1.07

0.00

7.0

3.3

—

(36660697) Celiac disease serology panel - Serum

0.00

0.0

1.1

—

(3019198) Lymphocytes [#/volume] in Blood

0.97

0.00

9.6

3.8

1.9

2.0

e9/l

—

(3044889) 12 lead EKG panel

1.00

0.00

4.4

3.0

—

(3021879) Hepatitis B virus core Ab [Presence] in Serum

0.00

0.0

1.7

—

(3014218) Bicarbonate [Moles/volume] standard in Arterial blood

0.00

0.0

3.8

—

24.2

—

(3048816) Calcium.ionized [Moles/volume] adjusted to pH 7.4 in Blood

0.00

0.0

4.0

—

1.2

—

Mortality – FinRegistry

↥

Association

Association between endpoint L12_ALOPECMUC and mortality.

Females

No data

Males

No data

Mortality risk

Mortality risk for people of age

years, who have L12_ALOPECMUC.

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: L12_ALOPECMUC – Alopecia mucinosa

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

Loading data

Alopecia mucinosa

Endpoint definition

Endpoint definition steps

FinnGen

Phenotype data

1. Apply sex-specific rule

2. Check conditions

3. Check pre-conditions, main-only, mode, registry filters

4. Check minimum number of events

5. Include endpoints

6. Filter based on genotype QC (FinnGen only)

Similar endpoints

Case counts by codes

Summary Statistics

-FinRegistry-

Key figures

-FinnGen-

Key figures

-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)

LabWAS

Mortality – FinRegistry

Association

Females

Males

Mortality risk

Relationships between endpoints