fmrib-unpack-fmrib-config 1.7.1

The FUNPACK FMRIB configuration profile

FUNPACK - FMRIB configuration profile

FUNPACK is a Python library for pre-processing of UK BioBank data. The fmrib-unpack-fmrib-config package contains a configuration profile for FUNPACK which encodes a large set of cleaning and processing rules for a range of UK BioBank data fields.

FUNPACK depends on fmrib-unpack-fmrib-config, so if FUNPACK is installed, then you already have the fmrib configuration profile, and can use it like so:

fmrib_unpack -cfg fmrib_standard out.tsv <input.csv>

Overview

The FUNPACK fmrib_standard configuration profile performs the following steps. This is an overview - refer to the configuration files for all details:

Data import

All data-fields from the categories listed in fmrib_cats.cfg are imported. These categories are defined in categories.tsv. Data fields which are not in any of these categories are not imported.

Notes:

• Some data-field categories which are not of direct interest are explicitly excluded (currently category 100).
• Some categories (specifically 1, 31, 60, 70, 96, 98, and 99) contain secondary/auxillary data-fields which are not of direct interest, but need to be in the output file. These categories are excluded from some processing steps (see below).

Cleaning/preprocessing

1. NA value replacement (removing certain values and replacing them with NA) is performed on all data fields which use the data codings listed in datacodings_navalues.tsv.

2. All date/time data-fields are converted into floating point numbers of the form <YYYY>.fraction. This rule is defined in datetime_formatting.tsv, and the conversion logic defined in the funpack.plugins.fmrib module.

3. Categorical quantitative recoding (e.g. replacing potentially quantitative quantised/categorical codings with more monotonic/sensible codings) is performed on all data fields which use the data codings listed in datacodings_recoding.tsv.

4. Child value replacement (inferring the values of missing data-fields based on responses to parent data-fields) is performed on all data-fields listed in variables_parentvalues.tsv.

Processing

All subsequent processing steps are specified in processing.tsv, and are described here:

1. A number of categorical data fields are binarised - a separate column is created for each category, with a 1 for subjects in that category, or a 0 otherwise.

2. ICD9 and ICD10 data-fields 41270, and 41271 are binarised, but instead of containing 1/0, they contain the corresponding diagnosis dates, taken respectively from data-fields 41280, and 41281.

3. Sparse columns are removed. For most data-fields, a column is deemed sparse if any of these conditions hold:

   • Contains 50 or fewer data points
   • Has a standard deviation of less than 1e-6 (only applied to numeric data-fields)
   • If categorical, one category comprises 99% or more of all data Data-fields from secondary/auxillary categories are excluded from this sparsity test.

4. Columns which were binarised as outlined above are subjected to a different sparsity test - any columns which have less than 10 non-0 entries are dropped.

5. Redundant columns are removed. Correlation and missingness correlation is calculated between all pairs of columns. If the correlation between a pair of columns exceeds 0.99 and the missingness correlation exceeds 0.2, the column with more missing values is removed. ICD9/10 columns are excluded from this step, along with data-fields from secondary/auxillary categories.

6. New binary columns are generated for the ICD9 and ICD10 in-patient hospital diagnosis data fields 41270, and 41271 (for the columns remaining after the sparsity/redundancy tests) indicating, for each diagnosis, whether it was a primary or secondary diagnosis. This information is obtained from data-fields 41202, 41203, 41204, and 41205, which are subsequently removed from the data set.

Notes on ICD9/ICD10 data-fields

ICD10 in-patient hospital diagnosis codes are available in the raw data in the following data fields:

• 41270: ICD10 diagnoses across all hospital visits, including primary and secondary diagnoses, and external causes. Corresponding dates for each diagnosis are given in 41280.

• 41201: As above, but containing external causes only. Corresponding dates are not available in a separate data field, (but are available in 41270/41280).

• 41202: As above, but containing primary diagnoses only. Corresponding dates are given in 41262.

• 41204: As above, but containing secondary diagnoses only. Corresponding dates are not available in a separate data field, (but are available in 41270/41280).

ICD9 diagnosis codes follow the same structure, and are available in data fields 41271 (all diagnoses, dates in 41281), 41203 (primary diagnoses, dates in 41263, and [41205]((https://biobank.ctsu.ox.ac.uk/crystal/field.cgi?id=41205) (secondary diagnoses).

In the output data, data-fields 41270 (ICD10) and 41271 (ICD9) are re-arranged so that there is one column per diagnosis code. These columns are named as 41270-<code> or 41271-<code>, e.g. 41270-A044, and contain the diagnosis date (taken from 41280 and 41281) for subjects with the diagnosis, or a 0 for subjects without the diagnosis.

Binary columns are also generated for each diagnosis code indicating whether it was a primary or secondary diagnosis - this information is obtained from data fields 41202, 41203, 41204, and 41205. These columns are given names:

• 41202-<code>.primary
• 41203-<code>.secondary
• 41204-<code>.primary
• 41205-<code>.secondary

Output files

For this command:

fmrib_unpack -cfg fmrib_standard out.tsv <input.csv>

All processed data-fields will be saved to out.tsv. Note that all non-numeric columns are removed, so this file only contains numeric columns.

The following files are also saved:

• out_log.txt: Log messages, useful for troubleshooting
• out_summary.txt: Summary of all rules applied to every data-field in the input file
• out_description.txt: Description of every column in the output file.
• out_icd10_map.txt: Every ICD10 diagnosis code in the output file, along with their equivalent numeric code, and text desccription

The fmrib_new_release profile (see below) also produces:

• out_unknown_vars.txt: List of all columns from previously unknown/uncategorised data-fields, and whether or not they passed processing and were exported.

Other configuration profiles

The fmrib_standard profile, as described above, is used within FMRIB for the preprocessing of all non-imaging UKB data. Some other configurations profiles are also available:

• fmrib: As above, but all data-fields present in the input file(s) are loaded, and logging/additional output files are not generated.
• fmrib_new_release: Equivalent to fmrib_standard, but load and process all data-fields (except those in explicitly excluded categories), and output a summary of any unknown/ uncategorised data-fields.