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PULMOLINES - eQTL-Lung

eQTL Lung Consortium...

Description

The lung eQTL dataset has emerged from a research collaboration among investigators at Merck & Co. Inc. and three academic sites, namely Laval University, University of British Columbia, and University of Groningen. Human lung specimens were obtained...

General Design

Type
Biobank, Cohort study
Cohort type
Clinical cohort, Case only
Data collection type
Retrospective
Design
Cross-sectional
Design description
Human lung from patients who underwent lung surgery. Genome-wide gene expression and genotyping were performed to calculate lung expression quantitative trait loci (eQTL).
Design schematic
Design schematic
Start/End data collection
1991 until 2008
PID
https://doi.org/10.34760/65266407cb945

Population

Countries
Canada, Netherlands (the)
Regions
Overijssel, Drenthe, Friesland, Groningen
Number of participants
1400
Number of participants with samples
1400
Population age groups
Adult (18+ years)
Main medical condition
  • X Diseases of the respiratory system

Organisations

Lead organisations
Additional organisations

Contributors

Available Data & Samples

Data categories

  • Biological samples
  • Medical records
  • Physiological/Biochemical measurements
  • Omics

Sample categories

  • Tissue (FFPE)
  • Tissue (Frozen)

Areas of information

  • Socio-demographic and economic characteristics
  • Lifestyle and behaviours
  • Medication and supplements
  • Non-pharmacological interventions
  • Physical measures and assessments
  • Laboratory measures
  • Administrative information

Subpopulations

List of subpopulations for this resource...

Collection events

List of collection events defined for this resource...

Networks

Part of networks...

Access conditions

It is possible to establish a collaboration with investigators from the lung eQTL consortium for any queries about the dataset that cannot be obtained from the QTLportal. Please fill the request form to be obtained from the PI: Wim Timens: w.timens@u...

Data access conditions
  • health or medical or biomedical research
  • disease specific research
Data use conditions
  • publication required
  • collaboration required
  • user specific restriction
  • project specific restriction
Data access fee
false
Release type
Closed dataset
Linkage options
https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001745.v1.p1

Funding & Acknowledgements

Funding
Merck Research Laboratories paid for almost all molecular data acquisition and provided the compute cluster that performed much of the analyses. However, Merck as an institution had no role in study designs, data collection and analysis, decision to publish, or preparation of manuscripts.
Acknowledgements
If you use the Lung eQTL Portal in your publication please cite our manuscript: Hao K*, Bossé Y*, Nickle D*, Paré PD, Postma DS, Laviolette M, Sandford A, Hackett TL, Daley D, Hogg JC, Elliott M, Couture C, Lamontagne M, Brandsma CA, van den Berge M, Koppelman G, Reicin AS, Nicholson DW, Malkov V, Derry JM, Suver C, Tsou JA, Kulkarni A, Zhang C, Vessey R, Opiteck GJ, Curtis SP, Timens W, Sin DD. Lung eQTLs to help reveal the molecular underpinnings of asthma. PLoS Genetics 2012; 8(11):e1003029. PMID 23209423

Documentation

Lung eQTLs to Help Reveal the Molecular Underpinnings of Asthma
This database was created using MOLGENIS.org ( github ).
Please cite Swertz & Gini (2022) , Van der Velde et al (2018) or Swertz et al (2010) on use.