Proteomic risk score (PrRS_MDD-ADRD) to predict Alzheimer's disease and related dementias (ADRD) in major depressive disorder (MDD)

Preprint

Proteogenomic signature of increased risk of Alzheimer's disease and related dementia risk in individuals with a history of major depression (uploaded to medRxiv soon!)

We developed a proteomic risk score for ADRD among individuals with a history of MDD using data from the UK Biobank Pharma Proteomics Project (4,586 individuals and 2,920 proteins). It showed higher discriminative power than common risk factors and predictors of ADRD in the general population (e.g., age, sex, education, and APOE e4 carrier status).

Setup

Users are required to download and install R but no R package is needed to calculate the proteomic risk score to predict ADRD in MDD (PrRS_MDD-ADRD).

Input file

The input file, as shown in "PrRS_mdd_adrd_example_data.csv", should have the first column designated as the ID column, with any arbitrary column name. This should be followed by columns containing the required proteins. The input file may include additional proteins beyond those needed, and the protein column names will be converted to lowercase.

Example

The R code below shows you how to load the "PrRS" function in "PrRS_MDD-ADRD.R" to calculate PrRS_MDD-ADRDs for five subjects with input data in "PrRS_mdd_adrd_example_data.csv".

source("PrRS_MDD-ADRD.R")
PrRS_input=read.csv("PrRS_mdd_adrd_example_data.csv")
PrRS(PrRS_input)