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Novel insights into the genetics of smoking behaviour, lung function, and chronic obstructive pulmonary disease (UK BiLEVE): a genetic association study in UK Biobank.

The Lancet. Respiratory medicine | 2015

Understanding the genetic basis of airflow obstruction and smoking behaviour is key to determining the pathophysiology of chronic obstructive pulmonary disease (COPD). We used UK Biobank data to study the genetic causes of smoking behaviour and lung health.

Pubmed ID: 26423011 RIS Download

Research resources used in this publication

None found

Antibodies used in this publication

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Associated grants

  • Agency: Wellcome Trust, United Kingdom
    Id: 098017
  • Agency: Medical Research Council, United Kingdom
    Id: G0800675
  • Agency: Medical Research Council, United Kingdom
    Id: MR/L01341X/1
  • Agency: Chief Scientist Office, United Kingdom
    Id: ETM/137
  • Agency: Medical Research Council, United Kingdom
    Id: G1000861
  • Agency: Chief Scientist Office, United Kingdom
    Id: CZB/4/540
  • Agency: Wellcome Trust, United Kingdom
  • Agency: Medical Research Council, United Kingdom
    Id: MC_QA137853
  • Agency: Medical Research Council, United Kingdom
    Id: G0600329
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_12010
  • Agency: Medical Research Council, United Kingdom
    Id: G0801056
  • Agency: Wellcome Trust, United Kingdom
    Id: 093707
  • Agency: Medical Research Council, United Kingdom
    Id: G0800759
  • Agency: European Research Council, International
    Id: 617306
  • Agency: Chief Scientist Office, United Kingdom
    Id: ETM/75
  • Agency: Wellcome Trust, United Kingdom
    Id: WT091310
  • Agency: Medical Research Council, United Kingdom
    Id: G0501942
  • Agency: Medical Research Council, United Kingdom
    Id: G0902313

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This is a list of tools and resources that we have found mentioned in this publication.


GWAS: Catalog of Published Genome-Wide Association Studies (tool)

RRID:SCR_012745

Catalog of published genome-wide association studies. Genome-wide set of genetic variants in different individuals to see if any variant is associated with trait and disease. Database of genome-wide association study (GWAS) publications including only those attempting to assay single nucleotide polymorphisms (SNPs). Publications are organized from most to least recent date of publication. Studies are identified through weekly PubMed literature searches, daily NIH-distributed compilations of news and media reports, and occasional comparisons with an existing database of GWAS literature (HuGE Navigator). Works with HANCESTRO ancestry representation.

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UK Biobank (tool)

RRID:SCR_012815

Biobank provides data collected at Assessment Center and via online questionnaires on participants aged 40-69 years recruited throughout United Kingdom and provides summary information to improve prevention, diagnosis and treatment of serious and life threatening illnesses.

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University of Texas MD Anderson Cancer Center (tool)

RRID:SCR_004699

The mission of The University of Texas MD Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees and the public. VISION: We shall be the premier cancer center in the world, based on the excellence of our people, our research-driven patient care and our science. We are Making Cancer History.

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1000 Genomes Project and AWS (tool)

RRID:SCR_008801

A dataset containing the full genomic sequence of 1,700 individuals, freely available for research use. The 1000 Genomes Project is an international research effort coordinated by a consortium of 75 companies and organizations to establish the most detailed catalogue of human genetic variation. The project has grown to 200 terabytes of genomic data including DNA sequenced from more than 1,700 individuals that researchers can now access on AWS for use in disease research free of charge. The dataset containing the full genomic sequence of 1,700 individuals is now available to all via Amazon S3. The data can be found at: http://s3.amazonaws.com/1000genomes The 1000 Genomes Project aims to include the genomes of more than 2,662 individuals from 26 populations around the world, and the NIH will continue to add the remaining genome samples to the data collection this year. Public Data Sets on AWS provide a centralized repository of public data hosted on Amazon Simple Storage Service (Amazon S3). The data can be seamlessly accessed from AWS services such Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic MapReduce (Amazon EMR), which provide organizations with the highly scalable compute resources needed to take advantage of these large data collections. AWS is storing the public data sets at no charge to the community. Researchers pay only for the additional AWS resources they need for further processing or analysis of the data. All 200 TB of the latest 1000 Genomes Project data is available in a publicly available Amazon S3 bucket. You can access the data via simple HTTP requests, or take advantage of the AWS SDKs in languages such as Ruby, Java, Python, .NET and PHP. Researchers can use the Amazon EC2 utility computing service to dive into this data without the usual capital investment required to work with data at this scale. AWS also provides a number of orchestration and automation services to help teams make their research available to others to remix and reuse. Making the data available via a bucket in Amazon S3 also means that customers can crunch the information using Hadoop via Amazon Elastic MapReduce, and take advantage of the growing collection of tools for running bioinformatics job flows, such as CloudBurst and Crossbow.

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