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FinnGen Handbook
  • Introduction
  • Where to begin
    • Quick guides
      • New to FinnGen
      • Green data users
      • Red data users
    • I'm new to FinnGen, where is the best place for me to start?
    • What kind of questions can I ask of FinnGen data?
    • How do I make a custom endpoint?
    • How do I run a GWAS of a phenotype I created myself?
    • I'm interested in FinnGen rare variant phenotypes
  • Background Concepts
    • Basics of Genetics
    • Linkage Disequilibrium (LD)
    • Genotype Imputation
    • Genotype Data Processing and Quality Control (QC)
    • GWAS Analysis
    • P Values
    • Heritability and genetic correlations
    • Finemapping
    • Conditional analysis
    • Colocalization
    • Using Polygenic Risk Scores
    • PheWAS analysis
    • Survival analysis
    • Longitudinal Data Analysis
    • GWAS Association to Biological Function
    • Genetic Data Resources outside FinnGen
    • Getting Started with Unix
    • Getting Started with R
    • Structure of the FinnGen project
    • Finnish gene pool and health register data
  • FinnGen Data Specifics
    • FinnGen Data Freezes and Releases
    • Analysis proposals
      • What is a FinnGen analysis proposal and when do I need to submit one?
      • How do I submit an analysis proposal?
      • How are analysis proposals handled?
      • What is a FinnGen bespoke analysis proposal and when do I need to submit one?
      • How do I submit a bespoke analysis proposal?
      • How are bespoke analysis proposals handled?
      • What is the difference between FinnGen analysis proposals and FinnGen bespoke analyses?
      • Existing analysis proposals
    • Finnish Health Registries and Medical Coding
      • Finnish health registries
      • Register data pre-processing
      • Data Masking/Blurring of Visit Dates
      • International and Finnish Health Code Sets
      • More information on health code sets
      • VNR code mapping to RxNorm
      • Register code translation files
    • Endpoints
      • FinnGen clinical endpoints
      • History of creating the FinnGen endpoints
      • Location of FinnGen Endpoint and Control Description Files
        • What's new in DF13 endpoints
        • What’s new in DF12 endpoints
        • What’s new in DF11 endpoints
        • What’s new in the DF10 endpoints
        • What’s new in DF9 endpoints
        • What’s new in DF8 endpoints
      • Interpretation of Endpoint Definition file
      • Location of Endpoint Quality Control Report
      • Creating a User-defined Endpoint(s)
      • Requesting a User-defined Endpoint to be included in Core Analysis
      • Complete follow-up time of the FinnGen registries – primary endpoint data
        • Survival analysis using the truncated endpoint file – secondary endpoint data
    • Biobanks in Finland
    • Publishing FinnGen results
      • Preparing manuscripts or conference abstracts
      • The 1-year “Exclusivity Period” Policy
      • List of Publications using FinnGen Data
      • How to share GWAS summary statistics with FinnGen community
      • How to publish GWAS summary statistics
      • Public Result Releases
    • Red Library Data (individual level data)
      • Genotype data
        • Genotype Arrays Used
          • Legacy cohorts and chips
        • Imputation Panel
          • Sisu v4 reference panel
          • Sisu v3 reference panel
          • Sisu v4.2 reference panel
            • Variant-wise QC metrics file
        • Genome build used in FinnGen
        • Genotype Data Processing Flow
        • Genotype Files in Sandbox
          • Imputed genotypes in VCF format
          • Imputed genotypes in BGEN format
          • Imputed genotypes in PLINK format
          • Chip data
          • Imputed HLA alleles
          • Principal components analysis (PCA) data
          • Kinship data
          • Analysis covariates
          • Polygenic risk scores (PRS)
          • Genetic Ancestry
          • Genetic relationships (GRM)
          • Mosaic chromosomal alterations (mCA)
          • Prune data (R9)
          • Imputed STR genotypes (R8)
      • Phenotype data
        • Register data
        • Detailed longitudinal data
          • Splitting combination codes in detailed longitudinal data
        • Service sector data
          • Service sector data code translations
        • Endpoint and endpoint longitudinal data
        • Kanta lab values
          • Data
          • FAQ
          • How-to guides
        • Kanta prescriptions
        • Minimum extended phenotype data
          • Extracting minimum phenotype data per biobank
          • DNA isolation protocols per biobank
        • Minimum longitudinal data
        • Minimum phenotype data (before R11)
        • Cohort data (before R11)
        • Other register data files in Sandbox
          • Register of Congenital Malformations
          • Finnish Registry for Kidney Diseases
          • Reproductive history data
          • Finnish Cancer Registry: Cervical cancer screening
          • Finnish Cancer Registry: Breast cancer screening
          • Finnish Cancer Registry: Detailed cancer data
          • Finnish Register of Visual Impairment
          • Parental cause of death data
          • Ejection fraction data
          • Finnish National Infectious Disease Register
          • Finnish National Vaccination Register
          • Covid-19 primary care data
          • Blood donor data from the Finnish Red Cross Blood Service (FRCBS)
          • Dental data
          • Socioeconomic data
          • Hilmo and avohilmo extended data
      • Omics data
        • Proteomics
          • Expansion Area 5 proteomics data
          • FinnGen 3 proteomics data
        • Metabolomics
        • Single-cell transcriptomics and immune profiling
        • High-content cell imaging
        • Full blood counts and clinical chemistry
      • Hospital administered medications
      • Whole exome sequencing (WES) data
    • Green Library Data (aggregate data)
      • What is "Green" Data?
      • Accessing Green Data
      • Other analyses available
        • Colocalizations in FinnGen
        • Autoreporting – information on overlaps
          • Index of Autoreporting variables
        • HLA
        • LoF burden test
        • Meta-analyses
      • Core analysis results files
        • Recessive GWAS results format
        • Variant annotation file format
        • Genotype cluster plots format
        • GWAS results format
        • Finemapping results format
        • Colocalization results format
          • Results format in colocalization before DF13
        • Autoreporting results format
        • Sex-specific GWAS results format
        • UKBB-FinnGen meta-analysis file formats
        • Pairwise endpoint genetic correlation format
        • Heritabilities
        • Coding variant associations format
        • HLA association results
        • Proteomics results
        • Coding variant results including CHIP EWAS (Exome-Wide Association Scan)
        • Kanta lab association results v1
    • Disease specific Task Force data
      • Inflammatory bowel disease (IBD) SNOMED codes data
    • Expansion Area 3 (EA3) studies
      • EA3 study: Fatty liver disease study and data in Sandbox
      • EA3 study: Age-related macular degeneration study and data in Sandbox
      • EA3 study: Women's health studies
        • EA3 study: Women’s health – Endometriosis and data in Sandbox
        • EA3 study: Human papilloma virus-related gynecological lesions, and data in Sandbox
        • EA3 study: Women’s health – PCOS and infertility study, and data in Sandbox
      • EA3 study: Diabetic Kidney Disease and Rare Kidney Disease study and data in Sandbox
      • EA3 study: Oncology studies
        • EA3 study: Oncology – Breast cancer study and data in Sandbox
        • EA3 study: Oncology –Prostate cancer study and data in Sandbox
        • EA3 study: Oncology – Ovarian cancer study and data in Sandbox
      • EA3 study: Pulmonary diseases (IPF, asthma and COPD) study and data in Sandbox
      • EA3 study: Immune-mediated diseases
      • EA3 study: Heart Failure study and data in Sandbox
      • FinnGen EA3 leads
  • Disease Specific Task Forces
    • Inflammatory bowel disease (IBD)
    • Kidney Diseases
    • Eye Diseases
    • Rheumatic Diseases
    • Atopic Dermatitis
    • Pulmonary Diseases
    • Neurological Diseases
    • Heart Failure
    • Fibrotic Diseases
    • Metabolic diseases
    • Parkinson's diseases
  • Working in the Sandbox
    • How to get started with Sandbox
    • What is Sandbox and what can you do there
    • What do we mean by "red" and "green" data?
    • General workflows for the most common analyses
    • Quirks and Features
      • Managing your files in Sandbox
      • Navigating the Sandbox
      • How to save Sandbox window configuration
      • Copying and pasting in and out of your IVM
      • How to report issues from within the Sandbox
      • Sharing individual-level data within the Sandbox
      • How to download results from your IVM
        • Sandbox download requests – rules and examples for minimum N
      • Keyboard combinations
      • Running analyses in your IVM vs. Pipelines
      • Timeouts and saving your work (backups, github)
      • How to install a R package into Sandbox?
        • How to install R packages with many dependencies
      • Install R and Python packages from the local Sandbox repository
      • How to install a Python package into Sandbox
      • How to install GNU Debian package
      • How to upload your own files to IVM via /finngen/green
      • How to remove files from /finngen/green
      • Using Sandbox as a Chrome application (full screen mode)
      • How to reset your finngen.fi account password
      • Sandbox IVM tool request handling policy
      • Docker images
        • How to get a new Docker image to Sandbox
        • How to mount data into Docker container image
        • Containers available to Sandbox
        • Containers with user customized tool sets
        • How to write a Docker file
        • Anaconda Python environment in the Sandbox
      • Python Virtual Environment in Sandbox
      • How to shut down your IVM
    • Which tools are available?
      • FinnGen exome query tool
      • Custom GWAS tools
        • Custom GWAS GUI tool
        • Custom GWAS command line (CLI) tool
          • Custom GWAS CLI Binary mode
          • Custom GWAS CLI Quantitative mode
        • How to make your summary stats viewable in a PheWeb-style?
        • Finemapping of Custom GWAS analyses
        • PheWeb Users Input Validator tool
        • Conditional analysis of Custom GWAS analyses
      • Pipelines
      • Pre-installed Linux tools
      • PGS Browser
      • Lmod Linux tools
      • Anaconda Python module with ready set of scientific packages
      • Python packages
      • R packages
      • Atlas
        • Quick guide
          • Introduction to OHDSI, OMOP CDM and Atlas
          • From research question to concepts and cohort building
          • Using Atlas in Sandbox
          • Examples on cohort building with Atlas
        • Detailed guide
          • Atlas data model
          • Standard and non-standard codes
          • How to define a cohort in Atlas
            • Select FinnGen data release in Atlas for Search
            • How to define a simple ICD case-control cohort in Atlas
              • Define a simple ICD Concept Set in Atlas
              • Define a simple ICD case cohort in Atlas
              • Define a simple ICD control cohort in Atlas
            • Concept Sets
              • Create Concept Sets using descendants
              • Exclude and Remove codes from Concept Set
              • Simplify Concept Sets that use standard code descendants
              • Create Concept Sets using equivalent standard and non-standard codes
              • View standard code hierarchy in Atlas
            • Cohort Definitions
              • Using the Death register in Atlas
              • Filtering by clinical registries in Atlas
              • Filtering by demographic criteria in Atlas
              • Defining exit rules for a cohort in Atlas
              • Selecting the correct box in Atlas for events and medical codes
            • How to export FinnGen IDs from Atlas
          • Downstream analyses after the Atlas cohorts are created
          • Data Release Summary Statistics in Atlas
          • Cohort Summary Statistics in Atlas
            • Time-dependent Cohort Summary Statistics in Atlas
            • Event inclusion in Cohort Summary Statistics in Atlas
          • Cohort Pathways
      • BigQuery (relational database)
      • Atlas vs BigQuery cohorts
      • Genotype Browser
      • Cohort Operations tool (CO)
        • Upload cohorts to CO
        • Combine cohorts with CO
        • Operate on Atlas cohorts and data with entries and exit events
        • Explore code and endpoint enrichments with CO (CodeWAS)
        • Explore endpoint overlaps with CO
        • Compare custom endpoint to FinnGen endpoint with CO
        • Launch custom GWAS with CO
        • Export FinnGen IDs using CO
        • Understanding phenotypic overlaps using CO
      • Trajectory Visualization Tool (TVT)
        • Running TVT
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          • Reordering timelines with TVT
          • Clustering timelines with TVT
          • Viewing TVT results
        • Viewing Atlas, CO, and Genotype cohorts in TVT
        • Exporting cohorts from TVT
        • TVT help page
      • LifeTrack
      • Miscellaneous helper scripts/tools
        • Tool to annotate variants with RSIDs
        • Proper translations of medical, service sector and provider codes
        • BigQuery Connection – R
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          • Case study – UpSet plot
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        • BigQuery Connection - Python
          • BigQuery Python - Downstream analysis - Active Ingredient - Bar plot
          • BigQuery Python - Case Study - Sex different - Tornado plot
          • BigQuery Python - Case Study - Comorbidity - Upset plot
          • BigQuery Python - Case Study - Patient Timeline - Scatter plot
      • Sandbox internal API for software developers
    • Working with Phenotype Data
      • Variant PheWas
      • How to select controls for your cases
      • Using the R libraries to look at Phenotype data
      • How to check case counts from the data
      • Creating your own user-defined endpoint
    • Working with Genotype Data
      • Genotype Browser how to
      • Cluster Plots
      • ClusterPlot viewer V3C
      • Rare Variant Calling in V3C
      • Create map of allele
      • Genotypes from VCF files
      • Variant PheWas
      • Interpreting rare-variant analysis results
      • Tools for geno-pheno explorations
        • Example: transferring data from Genotype Browser to LifeTrack
        • Example: Visualizing Genotype Browser output data with TVT
    • Running analyses in Sandbox
      • How to run survival analyses
      • How to create custom endpoint using bigquery: example
      • How to use the Pipelines tool
      • How to submit a pipeline from the command line (finngen-cli)
      • How to run genome-wide association studies (GWAS)
        • How to run GWAS using REGENIE
        • Running quantitative GWAS with REGENIE
        • Conditional analysis
        • Conditional Analysis with custom regions and loci
        • How to run GWAS using SAIGE
        • Adding new covariates in GWAS using REGENIE and SAIGE
        • How to run GWAS using plink2 (for unrelated individuals only)
        • How to run GWAS using GATE (survival models)
        • How to run trajGWAS
        • How to run GWAS using the Regenie unmodifiable pipeline
        • How to run an interaction GWAS using the Regenie unmodifiable pipeline
        • How to run survival analysis using GATE unmodifiable pipeline
        • How to run GWAS on imputed HLA alleles using Regenie
      • How to run finemapping pipeline
        • Finemapping with custom regions in DF12
        • Unmodifiable Finemapping pipeline
      • How to run colocalization pipeline
      • How to run the LDSC pipeline
      • How to run PRS pipeline
      • How to calculate PRS weights for FinnGen data
      • Sandbox path and pipeline mappings
      • If your pipeline job fails
      • Tips on how to find a pipeline job ID
      • Managing memory in Sandbox and data filtering tips
      • Using Google Life Sciences API in Sandbox
      • Pipelines is based on Cromwell and WDL
    • Billing information and where to find more details
      • Monitoring Sandbox costs by Sandbox billing report
      • Monitoring Sandbox costs directly from your Google billing account
  • Working outside the Sandbox
    • Risteys
    • Endpoint Browser
    • PheWeb
      • Volcano plots with LAVAA
    • Meta-analysis PheWeb(s)
    • Coding variant browser
    • Multiple Manhattan Plot (MMP)
      • How to prepare an input file for MMP
      • How to use MMP
    • LD browser
    • Green library data
  • FAQ
    • FinnGen Spin Offs
    • FinnGen access and accounts
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      • I already have green data access, how do I apply for red data access?
      • I cannot access the /finngen/red?
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      • I cannot access my FinnGen account?
      • How to reset account credentials
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      • How do I access FinnGen All Sharepoint?
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      • How can I join the FinnGen Slack?
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      • How to request a FinnGen account?
    • FinnGen data
      • What to do if I think I found a mistake in the data?
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      • Does FinnGen have lab results available?
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      • Where can I find a list of unrelated individuals in FinnGen?
      • When moving from BCOR to .txt files, what does the column called "correlation" mean?
      • Is there really no participant birth year data?
      • How do I calculate time between events?
      • Can I select only the columns needed for my analysis to import into RStudio?
      • What is the difference is between LD-clumping and the Saige conditional analysis?
      • Can I download all pairwise LD data across the genome at once?
      • How to find latest data releases?
      • Why are there differences in the GWAS results between Data Freezes/Releases?
    • Where can I find
      • COVID association results?
      • Users' Meeting materials?
      • A list of what coding variants are enriched in Finland?
      • A comprehensive list of key file locations in FinnGen?
      • Medical code translations?
    • PheWeb
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      • Do the autoreports report the 95% or 99% credible set?
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      • Why is the case number dropping after the "Check pre-conditions, main-only, mode, ICD version" step?
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      • Why is there a "K." prefix on some endpoints?
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      • Should I include primary care registry (PRIM_OUT) codes in my cohort definitions?
      • I found BL_AGE after FU_END_AGE in the endpoint data, how is it possible?
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    • Pipelines
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  • Release Notes
    • Data Releases 2025
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  • How many individuals have a certain endpoint?
  • How many individuals have a certain health register code in the detailed longitudinal data?
  • How many individuals have a certain health register code in detailed longitudinal data or in other FinnGen registries?

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  1. Working in the Sandbox
  2. Working with Phenotype Data

How to check case counts from the data

PreviousUsing the R libraries to look at Phenotype dataNextCreating your own user-defined endpoint

Last updated 1 year ago

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There are several different ways to search for the number of individuals with a certain endpoint, or a certain FinnGen health register code. Below are a few examples of how to do such searches using FinnGen data.

How many individuals have a certain ?

If you would like to know the number of individuals with a certain endpoint, the easiest way to do this is to use the browser. Please take look at the topic for more instructions on how you can use Risteys for finding out the number of individuals with certain endpoint, and also for more in-depth endpoint statistics.

You can check the number of individuals with certain endpoint also by using R in Sandbox.

library(data.table); library(dplyr); library(Rutils)

end<-fread("finngen_R8_endpoint.txt.gz",data.table=F)

end1<-end[,c("FINNGENID", "U22_COVID19_CONFIRMED")]

covid_conf<-filter(end1, U22_COVID19_CONFIRMED==1);dim(covid_conf)

length(unique(covid_conf$FINNGENID))

Remember that the location of the endpoint and control files, including, the definitions, endpoint short and long names, can be found from the section. section gives you more information on how to read endpoint definition file.

How many individuals have a certain in the ?

If you would like to know how many individuals in the FinnGen data have a certain in you can also use the tool in the Sandbox for this purpose.

Before you start any search, remember to check that you are searching for the correct codes. For example, are somewhat different than international codes. Take a look at the to find out where the translations of the Finnish register codes can be found. From these files you can search the condition you are interested in, and the codes related to that condition. (NB: selecting codes should always be done with help of medical professionals who understand how the codes are used and how the underlying register data affects their usage.)

Here we use as an example ICD10 code L20 for atopic dermatitis. We are interested in how many individuals have been diagnosed with L20 ICD10-code the FinnGen data.

First, launch Atlas by going to the Applications menu on the Sandbox and selecting Finngen>Atlas.

When you are sure about the codes you are interested in, you can do the search as below.

Here we are searching ICD10-code L20 from the inpatient Hilmo registry (INPAT) and specialist outpatient Hilmo registry (OUTPAT). We are searching all ICD10 codes that begin with L20 (^in front of the code says the code has to begin there), because all of them are related to atopic dermatitis, and we use both symptom (CODE1) and cause (CODE2) codes for the search.

library(data.tabe); library(dplyr); library(stringr)

foo<-fread("finngen_R8_detailed_longitudinal_data.txt",data.table=F)

foo1<-filter(foo, SOURCE=="INPAT" | SOURCE=="OUTPAT")

foo2<-filter(foo1, ICDVER=="10" & str_detect(CODE1,"^L20") | ICDVER=="10" & str_detect(CODE2,"^L20"))

length(unique(foo2$FINNGENID))

library(data.tabe); library(dplyr); library(stringr)

foo<-fread("finngen_R8_vaccination_register.txt",data.table=F)

foo2<-filter(foo, str_detect(DRUG,"^J07A"))

length(unique(foo2$FINNGENID))

Once Atlas opens, in the Search menu on the left you can type in L20 and it will show you all the codes with L20. There is also a column "RC" (for record count), which tells how many times that code has been seen (some individuals may have the count more than once, so this is different than a count of individuals). When typing "atopic" to the Search menu, you can see other "atopic" related codes, such as S87 which is ICPC2 code. (ICPC2 codes are assigned in primary care, you can read more about them at .)

Take a look at the topic for more detailed instructions. By default, all registers included in the detailed longitudinal data are used in the search. However, if only certain register(s) are of interest results can be filtered by register by following the instructions in the topic .

Currently, Atlas contains only the file. There are some other specialty registers such as kidney, vaccination, and the birth register that are not yet rolled into the detailed longitudinal data file. If you are interested in counts from these ; eg. you would like to know how many individuals have a certain health register code in the , or you would like to search codes from the detailed longitudinal data using R, take a look at the instructions below.

How many individuals have a certain in or in ?

If you would like to know how many individuals have certain health register code(s) in , or in the , and you are comfortable using R, you can do also do the search in the Sandbox using R.

Let's use the same example as above; how many individuals have atopic dermatitis, determined by ICD10 code L20. For this example, let's search only from the inpatient Hilmo registry (INPAT) and specialist outpatient Hilmo registry (OUTPAT) (both of these registries are included in the ).

The first step is to double-check that you are searching for the correct codes (as above). you can find the location of the translation file for register codes.

We can search the same way, for example, for ATC-codes for the bacterial vaccines (codes beginning J07A), from the :

Finally, if you don't have Sandbox access, and you would to do a lookup like above, you can send a lookup request to the email , and we will take care of it!

Finnish Health Registries and Medical Coding
How to define a cohort in Atlas
filtering by clinical registries in Atlas
detailed longitudinal data
other FinnGen registries
vaccination register
health register code
detailed longitudinal data
other FinnGen registries
other FinnGen registers
detailed longitudinal data
detailed longitudinal data
Here
vaccination register
finngen-lookups@helsinki.fi
endpoint
Risteys
How to use Risteys as an endpoint browser
Location of FinnGen Endpoint and Control Description Files
Interpretation of endpoint definition file
health register code
detailed longitudinal data
health register code
detailed longitudinal data
Atlas
Finnish ICD10 codes
location of translation file for Finnish register codes
ICD10CM