Evidence map›Paper›PMID 27195708›Full record

ArticlePloS one2016

Investigation of Genetic Variation Underlying Central Obesity amongst South Asians.

William R Scott, Weihua Zhang, Marie Loh, Sian-Tsung Tan, Benjamin Lehne, Uzma Afzal, Juan Peralta, Richa Saxena, Sarju Ralhan, Gurpreet S Wander and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Obesity and Cardiovascular Risk among South Asian Americans.Current cardiovascular risk reports · 2023
    Article
  6. Article
  7. Observational
  8. Review
  9. Review
  10. Review
  11. Article
  12. Genetics of Obesity in East Asians.Frontiers in genetics · 2020
    Review
  13. Article
  14. 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

16 authors at 8 institutions in 3 countries.

William R ScottEpidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom.
Weihua ZhangEpidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom.
Marie LohEpidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom.
Sian-Tsung TanNational Heart and Lung Institute, Imperial College London, Hammersmith Hospital, Du Cane Road, London, United Kingdom.
Benjamin LehneEpidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom.
Uzma AfzalEpidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom.
Juan PeraltaGenomics Computer Centre, South Texas Diabetes and Obesity Institute, University of Texas at the Rio Grande Valley, Brownsville, Texas, United States of America.
Richa SaxenaBroad Institute of Massachusetts Institute of Technology and Harvard, Massachusetts General Hospital, Cambridge, MA, United States of America.
Sarju RalhanHero DMC Heart Institute, Ludhiana, Punjab, India.
Gurpreet S WanderHero DMC Heart Institute, Ludhiana, Punjab, India.
Kiymet BozaogluGenomics and Systems Biology, Baker IDI Heart and Diabetes Institute, Melbourne, VIC Australia.
Dharambir K SangheraDepartment of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America.
Paul ElliottEpidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom.
James ScottNational Heart and Lung Institute, Imperial College London, Hammersmith Hospital, Du Cane Road, London, United Kingdom.
John C ChambersEpidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom.
Jaspal S KoonerNational Heart and Lung Institute, Imperial College London, Hammersmith Hospital, Du Cane Road, London, United Kingdom.
Imperial College London · GBEaling Hospital · GBImperial College Healthcare NHS Trust · GBBaker Heart and Diabetes Institute · AUBroad Institute · USHammersmith Hospital · GBThe University of Texas Rio Grande Valley · USUniversity of Oklahoma Health Sciences Center · US

Funding

Genome-wide Association Scan to Identify Risk Genes for Type 2 Diabetes in AsianR01DK082766 · NIDDK · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI SANGHERA, DHARAMBIR K. · 2009 to 2011
$2.3M
Indo-US Collaboration in Genomic Studies on DiabetesK01TW006087 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANGHERA, DHARAMBIR K · 2002 to 2007
$778k
POLYAMINE BASED SCAN FOR METASTATIC PROSTATE CANCERK04CA000931 · NCI · JEWISH HOSPITAL OF SAINT LOUIS · PI KADMON, DOV · 1985 to 1986
–
British Heart Foundation SP/04/002Department of Health RP-PG-0407-10371FIC NIH HHS K01 TW006087Medical Research Council G0601966Medical Research Council G0700931Medical Research Council MR/K002414/1NIDDK NIH HHS R01 DK082766Wellcome TrustWellcome Trust 084723/Z/08/Z
6 · The paper itself

Abstract

South Asians are 1/4 of the world's population and have increased susceptibility to central obesity and related cardiometabolic disease. Knowledge of genetic variants affecting risk of central obesity is largely based on genome-wide association studies of common SNPs in Europeans. To evaluate the contribution of DNA sequence variation to the higher levels of central obesity (defined as waist hip ratio adjusted for body mass index, WHR) among South Asians compared to Europeans we carried out: i) a genome-wide association analysis of >6M genetic variants in 10,318 South Asians with focused analysis of population-specific SNPs; ii) an exome-wide association analysis of ~250K SNPs in protein-coding regions in 2,637 South Asians; iii) a comparison of risk allele frequencies and effect sizes of 48 known WHR SNPs in 12,240 South Asians compared to Europeans. In genome-wide analyses, we found no novel associations between common genetic variants and WHR in South Asians at P<5x10-8; variants showing equivocal association with WHR (P<1x10-5) did not replicate at P<0.05 in an independent cohort of South Asians (N = 1,922) or in published, predominantly European meta-analysis data. In the targeted analyses of 122,391 population-specific SNPs we also found no associations with WHR in South Asians at P<0.05 after multiple testing correction. Exome-wide analyses showed no new associations between genetic variants and WHR in South Asians, either individually at P<1.5x10-6 or grouped by gene locus at P<2.5x10-6. At known WHR loci, risk allele frequencies were not higher in South Asians compared to Europeans (P = 0.77), while effect sizes were unexpectedly smaller in South Asians than Europeans (P<5.0x10-8). Our findings argue against an important contribution for population-specific or cosmopolitan genetic variants underlying the increased risk of central obesity in South Asians compared to Europeans.

Indexed as

Genetic VariationAdultAgedAllelesAsian PeopleExomeFemaleGene FrequencyGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedObesity, AbdominalPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID27195708
PMCPMC4873263
OpenAlexW2397621922

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.