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

Cohort type

Clinical cohort, Case only, Biobank

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
Collection type

Retrospective

Start/End year

1991 - 2008

PID

https://doi.org/10.34760/65266407cb945

Population

Countries

Netherlands (the), Canada

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

Contributors

Additional organisations

  • University of British Columbia

Available Data & Samples

Data categories

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

Sample categories

  • Tissue (Frozen)
  • Tissue (FFPE)

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 subcohorts or subpopulations for this resource...

Collection events

List of collection events defined for this resource...

Partners

Networks

List of networks in which this cohort is involved...

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
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