Evidence map›Paper›PMID 28044437›Full record

ArticleJournal of cachexia, sarcopenia and muscle2017

Body mass index change in gastrointestinal cancer and chronic obstructive pulmonary disease is associated with Dedicator of Cytokinesis 1.

Merry-Lynn Noelle McDonald, Sungho Won, Manuel Mattheisen, Peter J Castaldi, Michael H Cho, Erica Rutten, Megan Hardin, Wai-Ki Yip, Stephen I Rennard, David A Lomas and 7 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Skeletal muscle omics signatures in cancer cachexia: perspectives and opportunities.Journal of the National Cancer Institute. Monographs · 2023
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cachexia as a common characteristic in multiple chronic disease.Journal of cachexia, sarcopenia and muscle · 2018
    Article
  10. Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 11 institutions in 7 countries.

Merry-Lynn Noelle McDonaldChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Sungho WonDepartment of Public Health Science, Seoul National University, Seoul, South Korea.
Manuel MattheisenDepartment of Biomedicine and Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark.
Peter J CastaldiChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Michael H ChoChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Erica RuttenCIRO+, Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands.
Megan HardinChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Wai-Ki YipDepartment of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Stephen I RennardDepartment of Medicine, Nebraska Medical Center, Omaha, Nebraska, USA.
David A LomasUCL Respiratory, Division of Medicine, University College London, London, UK.
Emiel F M WoutersCIRO+, Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands.
Alvar AgustiThorax Institute, Hospital Clinic-IDIBAPS, CIBERES, University of Barcelona, Barcelona, Spain.
Richard CasaburiRehabilitation Clinical Trials Center, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, USA.
Christoph P LangeDepartment of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
George O'ConnorThe National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA.
Craig P HershChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Edwin K SilvermanChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Brigham and Women's Hospital · USHarvard University · USAarhus University · DKBoston University · USCiro · NLMaastricht University Medical Centre · NLNebraska Medical Center · USSeoul National University · KRThe London College · GBThe Lundquist Institute · USUniversitat de Barcelona · ES

Funding

Systems Biology, Bioinformatics, and BiostatisticsP01HL105339 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2011 to 2015
$12.2M
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTLR01HL124233 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASTALDI, PETER · 2014 to 2024
$7.1M
Identifying Genetic Determinants of Severe, Early-Onset COPDR01HL113264 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHO, MICHAEL H., SILVERMAN, EDWIN K · 2012 to 2016
$6.0M
Using Networks to Assign Gene Function in Lung DiseaseR01HL111759 · NHLBI · DANA-FARBER CANCER INST · PI QUACKENBUSH, JOHN, SILVERMAN, EDWIN K · 2012 to 2015
$3.4M
Genetics of Smoke-Altered LTA4H in COPDR01HL126596 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BLALOCK, J EDWIN, CASTALDI, PETER · 2015 to 2018
$1.6M
Network Medicine Approaches to Cachexia in COPDR00HL121087 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MCDONALD DONNELLY, MERRY-LYNN NOELLE · 2017 to 2019
$747k
Network Medicine Approaches to Cachexia in COPDK99HL121087 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MCDONALD DONNELLY, MERRY-LYNN NOELLE · 2015 to 2016
$309k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
Medical Research Council G0901786Medical Research Council MR/N024842/1NHLBI NIH HHS K99 HL121087NHLBI NIH HHS N01 HC025195NHLBI NIH HHS P01 HL105339NHLBI NIH HHS R00 HL121087NHLBI NIH HHS R01 HL111759NHLBI NIH HHS R01 HL113264NHLBI NIH HHS R01 HL124233NHLBI NIH HHS R01 HL126596
6 · The paper itself

Abstract

backgroundThere have been a number of candidate gene association studies of cancer cachexia-related traits, but no genome-wide association study (GWAS) has been published to date. Cachexia presents in patients with a number of complex traits, including both cancer and COPD. The objective of the current investigation was to search for a shared genetic aetiology for change in body mass index (ΔBMI) among cancer and COPD by using GWAS data in the Framingham Heart Study.

methodsA linear mixed effects model accounting for age, sex, and change in smoking status was used to calculate ΔBMI in participants over 40 years of age with three consecutive BMI time points (n = 4162). Four GWAS of ΔBMI using generalized estimating equations were performed among 1085 participants with a cancer diagnosis, 204 with gastrointestinal (GI) cancer, 112 with lung cancer, and 237 with COPD to test for association with 418 365 single-nucleotide polymorphisms (SNPs).

resultsTwo SNPs reached a level of genome-wide significance (P < 5 × 10

conclusionsIn sum, one statistically significant common variant in the DOCK1 gene was associated with ΔBMI in GI cancer and COPD cases providing support for at least partially shared aetiology of ΔBMI in complex diseases.

Indexed as

Body Mass IndexGenetic Association StudiesGenetic Predisposition to DiseaseAdultAgedCachexiaFemaleGastrointestinal NeoplasmsGenome-Wide Association StudyHumansLongitudinal StudiesMaleMiddle AgedPolymorphism, Single NucleotidePulmonary Disease, Chronic Obstructiverac GTP-Binding ProteinsDOCK1 protein, humanrac GTP-Binding ProteinsBMICachexiaCancerCOPDGWASLongitudinal

Identifiers

PMID28044437
PMCPMC5476850
OpenAlexW2564194052

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.