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

Dietary zinc deficiency

E4_ZINC_DEF

No definition available.

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 — E60 Cause of death: ICD-10 — E60 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: E4_NUTRIDEF

Extra metadata

Level in the ICD hierarchy: 3
First used in FinnGen datafreeze: DF2
Parent code in ICD-10: E50-E64
Name in latin: Deficientia zinci diaetaria

NAME	E4_ZINC_DEF
CONTROL_EXCLUDE	E4_NUTRIDEF
CONTROL_PRECONDITIONS
CONTROL_CONDITIONS
SEX
INCLUDE
PRE_CONDITIONS
CONDITIONS
OUTPAT_ICD
OUTPAT_OPER
HD_MAINONLY
HD_ICD_10_ATC
HD_ICD_10	E60
HD_ICD_9	$!$	The FinnGen clinical team has checked and no code can be used for this rule.
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	E60
COD_ICD_9	$!$	The FinnGen clinical team has checked and no code can be used for this rule.
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 Dietary zinc deficiency based on the number of shared cases.

Similar with more cases:

Similar with less cases:

None

Case counts by codes

↥

FinnGen case counts by registry codes:

Not enough data for upset plot.

Full data table

Summary Statistics

↥

-FinRegistry-

Key figures

	All	Female	Male
Number of individuals
Whole population	117	63	53
Only index persons	111	60	51
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	49.30	44.21	55.51
Only index persons	49.17	44.39	54.78

-FinnGen-

Key figures

	All	Female	Male
Number of individuals	12	6	6
Unadjusted period prevalence (%)	0.00	0.00	0.00
Median age at first event (years)	46.63	45.95	47.30

-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

(3012544) pH of Venous blood

13.00

3.05

1.2

1.7

—

(3026008) Bacteria identified in Urine by Culture

4.91

1.72

9.0

2.3

—

(3029187) Natriuretic peptide.B prohormone N-Terminal [Mass/volume] in Serum or Plasma

4.39

1.70

2.5

2.0

878.7

892.3

ng/l

—

(3023368) Bacteria identified in Blood by Culture

4.26

1.53

23.8

8.8

—

(3029287) Urinalysis microscopic panel [#/volume] - Urine by Automated count

3.25

1.12

2.8

3.2

—

(42870588) Differential panel, method unspecified - Blood

3.11

1.09

2.7

6.1

—

(3007164) IgA [Mass/volume] in Serum or Plasma

0.00

0.91

0.0

1.5

—

2.0

—

(36304419) Bacteria [Presence] in Urine

2.69

0.85

2.0

3.3

—

(3018095) Leukocytes [#/volume] in Urine

2.33

0.76

2.4

3.8

325.7

11.7

e6/l

—

(21494755) Public health laboratory ask at order entry panel

0.00

0.67

0.0

1.3

—

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

2.24

0.65

3.9

2.2

—

0.0

—

(3024561) Albumin [Mass/volume] in Serum or Plasma

1.95

0.50

12.6

6.2

31.0

36.7

g/l

—

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

1.95

0.50

4.2

2.2

—

(3021347) Calcium.ionized [Moles/volume] in Serum or Plasma

1.92

0.46

28.3

4.9

1.2

mmol/l

—

(3000492) Spirometry study

0.00

0.44

0.0

2.1

—

(1761868) Lipid panel - Serum or Plasma

1.42

0.27

3.0

3.3

—

(36660697) Celiac disease serology panel - Serum

0.00

0.22

0.0

1.3

—

(43534045) MCM6 gene c.-13910C>T and -13915T>G [Identifier] in Blood or Tissue by Molecular genetics method Nominal

0.00

0.22

0.0

1.0

—

(3024950) Chlamydia trachomatis DNA [Presence] in Urine by NAA with probe detection

0.00

0.22

0.0

1.7

—

(3037467) Urinalysis macro (dipstick) panel - Urine

1.44

0.12

7.4

3.2

—

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

0.90

0.00

3.3

3.4

—

(3019225) pH of Specimen

0.00

0.0

5.1

—

(3020891) Body temperature

0.00

0.0

2.7

—

(3005702) Mycobacterium sp identified in Specimen by Organism specific culture

0.00

0.0

1.4

—

(4010399)

0.00

0.0

2.7

—

(3006418) Campylobacter sp identified in Tissue by Organism specific culture

0.00

0.0

1.3

—

(3022313) Gas panel - Capillary blood

0.00

0.0

1.2

—

(3018006) Microscopic observation [Identifier] in Cervix by Cyto stain.thin prep

0.00

0.0

1.4

—

(3046870) Tissue transglutaminase IgG Ab [Units/volume] in Serum

0.00

0.0

1.2

—

(42529406) Shigella sp [Presence] in Stool by Culture

0.00

0.0

1.3

—

(3001019) Free T4 and TSH panel - Serum or Plasma

0.00

0.0

3.2

—

(3010517) Carboxyhemoglobin/Hemoglobin.total in Venous blood

0.00

0.0

1.8

—

2.0

—

(1002224) Polysomnography panel

0.00

0.0

1.1

—

(3028026) IgM [Mass/volume] in Serum or Plasma

0.00

0.0

2.0

—

0.9

—

(3003510) Neisseria gonorrhoeae DNA [Presence] in Urine by NAA with probe detection

0.00

0.0

1.5

—

(3014765) Yersinia sp identified in Stool by Organism specific culture

0.00

0.0

1.3

—

(4035726)

0.00

0.0

1.0

—

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

0.00

0.0

2.7

—

43.3

—

(3012110) Lysozyme [Mass/volume] in Serum or Plasma

0.00

0.0

1.6

—

14.2

—

(3004716) Salmonella sp identified in Stool by Organism specific culture

0.00

0.0

1.4

—

(3005719) IgG [Mass/volume] in Serum or Plasma

0.00

0.0

2.4

—

8.5

—

(3013139) Helicobacter pylori Ag [Presence] in Stool

0.00

0.0

1.0

—

(3014162) Mycobacterium tuberculosis DNA [Presence] in Specimen by NAA with probe detection

0.00

0.0

2.0

—

Mortality – FinRegistry

↥

Association

Association between endpoint E4_ZINC_DEF and mortality.

Females

No data

Males

No data

Mortality risk

Mortality risk for people of age

years, who have E4_ZINC_DEF.

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_ZINC_DEF – Dietary zinc deficiency

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

Dietary zinc deficiency

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