Literature DB >> 33363097

The CONSTANCES Cohort Biobank: An Open Tool for Research in Epidemiology and Prevention of Diseases.

J Henny1, R Nadif2, S Le Got1, S Lemonnier1, A Ozguler1, F Ruiz3, K Beaumont4, D Brault4, E Sandt5, M Goldberg1,6, M Zins1,6.   

Abstract

"General-purpose cohorts" in epidemiology and public health are designed to cover a broad scope of determinants and outcomes, in order to answer several research questions, including those not defined at study inception. In this context, the general objective of the CONSTANCES project is to set up a large population-based cohort that will contribute to the development of epidemiological research by hosting ancillary projects on a wide range of scientific domains, and to provide public health information. CONSTANCES was designed as a randomly selected sample of French adults aged 18-69 years at study inception; 202,045 subjects were included over an 8-year period. At inclusion, the selected participants are invited to attend one of the 24 participating Health Prevention Centers (HPCs) for a comprehensive health examination. The follow-up includes a yearly self-administered questionnaire, and a periodic visit to an HPC. Procedures have been developed to use the national healthcare databases to allow identification and validation of diseases over the follow-up. The biological collection (serum, lithium heparinized plasma, EDTA plasma, urine and buffy coat) began gradually in June 2018. At the end of the inclusions, specimens from 83,000 donors will have been collected. Specimens are collected according to a standardized protocol, identical in all recruitment centers. All operations relating to bio-banking have been entrusted by Inserm to the Integrated Biobank of Luxembourg (IBBL). A quality management system has been put in place. Particular attention has been paid to the traceability of all operations. The nature of the biological samples stored has been deliberately limited due to the economic and organizational constraints of the inclusion centers. Some research works may require specific collection conditions, and can be developed on request for a limited number of subjects and in specially trained centers. The biological specimens that are collected will allow for a large spectrum of biomarkers studies and genetic and epigenetic markers through candidate or agnostic approaches. By linking the extensive data on personal, lifestyle, environmental, occupational and social factors with the biomarker data, the CONSTANCES cohort offers the opportunity to study the interplays between these factors using an integrative approach and state-of-the-art methods.
Copyright © 2020 Henny, Nadif, Got, Lemonnier, Ozguler, Ruiz, Beaumont, Brault, Sandt, Goldberg and Zins.

Entities:  

Keywords:  DNA; biobanking methodology; biorepository; blood samples; longitudinal studies; observational studies; population-based cohort; urine samples

Mesh:

Year:  2020        PMID: 33363097      PMCID: PMC7758208          DOI: 10.3389/fpubh.2020.605133

Source DB:  PubMed          Journal:  Front Public Health        ISSN: 2296-2565


  38 in total

1.  UK Biobank, big data, and the consequences of non-representativeness.

Authors:  Katherine M Keyes; Daniel Westreich
Journal:  Lancet       Date:  2019-03-30       Impact factor: 79.321

Review 2.  Clinical use of current polygenic risk scores may exacerbate health disparities.

Authors:  Alicia R Martin; Masahiro Kanai; Yoichiro Kamatani; Yukinori Okada; Benjamin M Neale; Mark J Daly
Journal:  Nat Genet       Date:  2019-03-29       Impact factor: 38.330

3.  IL8 and IL16 levels indicate serum and plasma quality.

Authors:  Olga Kofanova; Estelle Henry; Rocio Aguilar Quesada; Alexandre Bulla; Hector Navarro Linares; Pierre Lescuyer; Kathi Shea; Mars Stone; Gunnel Tybring; Camille Bellora; Fay Betsou
Journal:  Clin Chem Lab Med       Date:  2018-06-27       Impact factor: 3.694

4.  Asthma, Chronic Obstructive Pulmonary Disease, and Subsequent Risk for Incident Rheumatoid Arthritis Among Women: A Prospective Cohort Study.

Authors:  Julia A Ford; Xinyi Liu; Su H Chu; Bing Lu; Michael H Cho; Edwin K Silverman; Karen H Costenbader; Carlos A Camargo; Jeffrey A Sparks
Journal:  Arthritis Rheumatol       Date:  2020-04-03       Impact factor: 10.995

5.  Quality Control of Preanalytical Handling of Blood Samples for Future Research: A National Survey.

Authors:  Charlotte Gils; Mads Nybo
Journal:  J Appl Lab Med       Date:  2020-01-01

6.  The CONSTANCES cohort: an open epidemiological laboratory.

Authors:  Marie Zins; Sébastien Bonenfant; Matthieu Carton; Mireille Coeuret-Pellicer; Alice Guéguen; Julie Gourmelen; Mélissa Nachtigal; Anna Ozguler; Ariane Quesnot; Céline Ribet; Grégory Rodrigues; Angel Serrano; Rémi Sitta; Alain Brigand; Joseph Henny; Marcel Goldberg
Journal:  BMC Public Health       Date:  2010-08-12       Impact factor: 3.295

7.  Lipemia Index and screening for hyperlipidemia - A diagnostic opportunity?

Authors:  Charlotte Gils; Anne-Sofie Faarvang Thorsen; Mads Nybo
Journal:  Clin Chim Acta       Date:  2019-11-26       Impact factor: 3.786

Review 8.  Preanalytical Processing and Biobanking Procedures of Biological Samples for Metabolomics Research: A White Paper, Community Perspective (for "Precision Medicine and Pharmacometabolomics Task Group"-The Metabolomics Society Initiative).

Authors:  Jennifer A Kirwan; Lorraine Brennan; David Broadhurst; Oliver Fiehn; Marta Cascante; Warwick B Dunn; Michael A Schmidt; Vidya Velagapudi
Journal:  Clin Chem       Date:  2018-06-19       Impact factor: 8.327

9.  Assembly of a pan-genome from deep sequencing of 910 humans of African descent.

Authors:  Rachel M Sherman; Juliet Forman; Valentin Antonescu; Daniela Puiu; Michelle Daya; Nicholas Rafaels; Meher Preethi Boorgula; Sameer Chavan; Candelaria Vergara; Victor E Ortega; Albert M Levin; Celeste Eng; Maria Yazdanbakhsh; James G Wilson; Javier Marrugo; Leslie A Lange; L Keoki Williams; Harold Watson; Lorraine B Ware; Christopher O Olopade; Olufunmilayo Olopade; Ricardo R Oliveira; Carole Ober; Dan L Nicolae; Deborah A Meyers; Alvaro Mayorga; Jennifer Knight-Madden; Tina Hartert; Nadia N Hansel; Marilyn G Foreman; Jean G Ford; Mezbah U Faruque; Georgia M Dunston; Luis Caraballo; Esteban G Burchard; Eugene R Bleecker; Maria I Araujo; Edwin F Herrera-Paz; Monica Campbell; Cassandra Foster; Margaret A Taub; Terri H Beaty; Ingo Ruczinski; Rasika A Mathias; Kathleen C Barnes; Steven L Salzberg
Journal:  Nat Genet       Date:  2018-11-19       Impact factor: 38.330

10.  The Medical Genome Reference Bank contains whole genome and phenotype data of 2570 healthy elderly.

Authors:  Mark Pinese; Paul Lacaze; Emma M Rath; Andrew Stone; Marie-Jo Brion; Adam Ameur; Sini Nagpal; Clare Puttick; Shane Husson; Dmitry Degrave; Tina Navin Cristina; Vivian F S Kahl; Aaron L Statham; Robyn L Woods; John J McNeil; Moeen Riaz; Margo Barr; Mark R Nelson; Christopher M Reid; Anne M Murray; Raj C Shah; Rory Wolfe; Joshua R Atkins; Chantel Fitzsimmons; Heath M Cairns; Melissa J Green; Vaughan J Carr; Mark J Cowley; Hilda A Pickett; Paul A James; Joseph E Powell; Warren Kaplan; Greg Gibson; Ulf Gyllensten; Murray J Cairns; Martin McNamara; Marcel E Dinger; David M Thomas
Journal:  Nat Commun       Date:  2020-01-23       Impact factor: 14.919

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