Evidence map›Paper›PMID 21602305›Full record

ArticleGenome research2011

A survey of the genetics of stomach, liver, and adipose gene expression from a morbidly obese cohort.

Danielle M Greenawalt, Radu Dobrin, Eugene Chudin, Ida J Hatoum, Christine Suver, John Beaulaurier, Bin Zhang, Victor Castro, Jun Zhu, Solveig K Sieberts and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 21 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 21 pooled it
–field-weighted citation impact
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

123 citing papers in PubMed, 21 syntheses or guidelines pooled it, 170 citations in OpenAlex.

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63 more citing papers are in PubMed but not listed here.

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

18 authors at 3 institutions in 1 country.

Danielle M GreenawaltMerck Research Laboratories, Boston, MA 02115, USA. danielle_greenawalt@merck.com
Radu Dobrin
Eugene Chudin
Ida J Hatoum
Christine Suver
John Beaulaurier
Bin Zhang
Victor Castro
Jun Zhu
Solveig K Sieberts
Susanna Wang
Cliona Molony
Steven B Heymsfield
Daniel M Kemp
Marc L Reitman
Pek Yee Lum
Eric E Schadt
Lee M Kaplan
Rosetta Stone (United States) · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USMassachusetts General Hospital · US

Funding

Pharmacologic approaches to the treatment of obesityZIADK075062 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI REITMAN, MARC L · 2012 to 2025
$5.5M
Genetic and Clinical Predictors of Weight Loss after Roux-en-Y Gastric BypassF32DK093257 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI HATOUM, IDA JODETTE · 2011 to 2013
$170k
NIDDK NIH HHS F32 DK093257
6 · The paper itself

Abstract

To map the genetics of gene expression in metabolically relevant tissues and investigate the diversity of expression SNPs (eSNPs) in multiple tissues from the same individual, we collected four tissues from approximately 1000 patients undergoing Roux-en-Y gastric bypass (RYGB) and clinical traits associated with their weight loss and co-morbidities. We then performed high-throughput genotyping and gene expression profiling and carried out a genome-wide association analyses for more than 100,000 gene expression traits representing four metabolically relevant tissues: liver, omental adipose, subcutaneous adipose, and stomach. We successfully identified 24,531 eSNPs corresponding to about 10,000 distinct genes. This represents the greatest number of eSNPs identified to our knowledge by any study to date and the first study to identify eSNPs from stomach tissue. We then demonstrate how these eSNPs provide a high-quality disease map for each tissue in morbidly obese patients to not only inform genetic associations identified in this cohort, but in previously published genome-wide association studies as well. These data can aid in elucidating the key networks associated with morbid obesity, response to RYGB, and disease as a whole.

Indexed as

AdiposityAdultCohort StudiesComorbidityDatabases, GeneticFemaleGastric BypassGastric MucosaGene Expression ProfilingGenome-Wide Association StudyGenotypeHumansLiverMaleMiddle AgedObesity, Morbid

Identifiers

PMID21602305
PMCPMC3129244
OpenAlexW2140742732

What OpenQuestion holds

Textmetadata
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.