EPIC4ND—European Prospective Investigation into Cancer and Nutrition follow-up for neurodegenerative diseases

@article{lill2026epic4ndeuropean,
  title = {{EPIC4ND—European Prospective Investigation into Cancer and Nutrition follow-up for neurodegenerative diseases}},
  author = {Christina M. Lill and Jan Homann and Olena Ohlei and Karl Smith-Byrne and Vivian Viallon and Jose Maria Huerta and Fanny Artaud and Yujia Zhao and Abigail Britten and Laura Deecke and Valerija Dobricic and Olatz Mokoroa and Marcela Guevara and Dafina Petrova and Miles Trupp and Jara Sabin and Mareike Gröninger and Sandra M. Colorado-Yohar and Sonia Alonso-Martin and Natalia Cabrera-Castro and Sergiu Groppa and Oliver Robinson and Johnni Hansen and Sture Eriksson and Sabina Sieri and Ana Jimenez and Tammy Y. N. Tong and Rudolph Kaaks and Gianluca Severi and Ruth Travis and Nick Wareham and Andréa L. Benedet and Henrik Zetterberg and Andre Franke and Alexis Elbaz and Lars Bertram and Roel Vermeulen and Lefkos Middleton and Giovanna Masala and Carlotta Sacerdote and Susan Peters and Verena Katzke and Pietro Ferrari and Marc J. Gunter and Elio Riboli},
  journal = {European Journal of Epidemiology},
  year = {2026},
  month = nov,
  doi = {10.1007/s10654-026-01430-1},
  url = {https://hal.science/hal-05849866v1},
  note = {CC BY},
}

TY  - JOUR
TI  - EPIC4ND—European Prospective Investigation into Cancer and Nutrition follow-up for neurodegenerative diseases
AU  - Christina M. Lill
AU  - Jan Homann
AU  - Olena Ohlei
AU  - Karl Smith-Byrne
AU  - Vivian Viallon
AU  - Jose Maria Huerta
AU  - Fanny Artaud
AU  - Yujia Zhao
AU  - Abigail Britten
AU  - Laura Deecke
AU  - Valerija Dobricic
AU  - Olatz Mokoroa
AU  - Marcela Guevara
AU  - Dafina Petrova
AU  - Miles Trupp
AU  - Jara Sabin
AU  - Mareike Gröninger
AU  - Sandra M. Colorado-Yohar
AU  - Sonia Alonso-Martin
AU  - Natalia Cabrera-Castro
AU  - Sergiu Groppa
AU  - Oliver Robinson
AU  - Johnni Hansen
AU  - Sture Eriksson
AU  - Sabina Sieri
AU  - Ana Jimenez
AU  - Tammy Y. N. Tong
AU  - Rudolph Kaaks
AU  - Gianluca Severi
AU  - Ruth Travis
AU  - Nick Wareham
AU  - Andréa L. Benedet
AU  - Henrik Zetterberg
AU  - Andre Franke
AU  - Alexis Elbaz
AU  - Lars Bertram
AU  - Roel Vermeulen
AU  - Lefkos Middleton
AU  - Giovanna Masala
AU  - Carlotta Sacerdote
AU  - Susan Peters
AU  - Verena Katzke
AU  - Pietro Ferrari
AU  - Marc J. Gunter
AU  - Elio Riboli
PY  - 2026
DA  - 2026/11/03
JO  - European Journal of Epidemiology
DO  - 10.1007/s10654-026-01430-1
UR  - https://hal.science/hal-05849866v1
AB  - The 'European Prospective Investigation into Cancer and Nutrition' cohort (EPIC) is a prospective study including ~ 520,000 participants recruited across Europe (1991-2000) with in-depth baseline data on nutritional, lifestyle, medical, and anthropometric variables, and baseline blood samples. Here we introduce EPIC4ND, a case-cohort study within EPIC designed to identify biomarkers predicting a future onset of dementia, Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS). EPIC4ND comprises 6415 initially non-diseased participants (aged 35-80 years, mean age at baseline: 54 ± 9, 64% women) including 1899 incident cases with up to 30 years of follow-up and data on at least one omics domain available from pre-disease blood samples. EPIC4ND includes 4604 subcohort members (4441 non-cases and 163 incident cases) and 1811 additional incident cases ascertained from the broader EPIC cohort. Among the incident cases, there are 1190 dementia cases (818 AD), 610 PD cases, and 199 ALS cases. Additionally, 72 prevalent PD cases and 118 incident Parkinsonism cases are available for comparison. Molecular data generated encompass proteomics, genome-wide DNA methylation, and SNP genotyping with 4127 EPIC4ND participants (including 1635 incident cases) having data on all three domains. Smaller studies include data on metals, metabolites, and environmental chemicals, while ongoing efforts focus on ultrasensitive targeted biomarker measurements and small RNA sequencing. Genome-wide association studies and analyses of epidemiological risk factors validate the dataset by confirming many known risk factors. Leveraging these extensive pre-disease multi-layered omics data offers a unique opportunity to identify biomarker signatures predicting neurodegenerative diseases and to explore their interplay with epidemiological risk factors.
SN  - 0393-2990
SN  - 1573-7284
ER  -