Evidence map›Paper›PMID 31366177›Full record

ArticleBiomolecules2019

Genome-Wide Association Study of Metabolic Syndrome Reveals Primary Genetic Variants at

Gauri Prasad, Khushdeep Bandesh, Anil K Giri, Yasmeen Kauser, Prakriti Chanda, Vaisak Parekatt, Sandeep Mathur, Sri Venkata Madhu, Pradeep Venkatesh, Anil Bhansali and 5 more

Abstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Unravelling the Contribution of the rs7041 and rs4588 Polymorphisms of theInternational journal of molecular sciences · 2022
    Article
  10. Article
  11. The Association BetweenDiabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. 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

15 authors.

Gauri PrasadGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India.
Khushdeep BandeshGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India.
Anil K GiriGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India.
Yasmeen KauserGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India.
Prakriti ChandaSystems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi 110067, India.
Vaisak ParekattGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India.
Sandeep MathurDepartment of Endocrinology, S.M.S. Medical College, Jaipur, Rajasthan 302004, India.
Sri Venkata MadhuDivision of Endocrinology, University College of Medical Sciences, New Delhi 110095, India.
Pradeep VenkateshDepartment of Endocrinology, All India Institute of Medical Sciences, New Delhi 110029, India.
Anil BhansaliDepartment of Endocrinology, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh 160012, India.
Raman K MarwahaDepartment of Endocrinology, International Life Sciences Institute, New Delhi 110024, India.
Analabha BasuNational Institute of Bio Medical Genomics, Netaji Subhas Sanatorium (Tuberculosis Hospital), Kalyani 741251, West Bengal, India.
Nikhil TandonDepartment of Endocrinology, All India Institute of Medical Sciences, New Delhi 110029, India. nikhil_tandon@hotmail.com.
Dwaipayan BharadwajAcademy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi 110020, India. db@jnu.ac.in.
INDICOGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indians, a rapidly growing population, constitute vast genetic heterogeneity to that of Western population; however they have become a sedentary population in past decades due to rapid urbanization ensuing in the amplified prevalence of metabolic syndrome (MetS). We performed a genome-wide association study (GWAS) of MetS in 10,093 Indian individuals (6,617 MetS and 3,476 controls) of Indo-European origin, that belong to our previous biorepository of The Indian Diabetes Consortium (INDICO). The study was conducted in two stages-discovery phase (

Indexed as

Genome-Wide Association StudyAdultAgedAged, 80 and overAsian PeopleCholesterol Ester Transfer ProteinsGenetic LociGenetic Predisposition to DiseaseHumansIndiaMetabolic SyndromeMiddle AgedPhenotypeCETP protein, humanCholesterol Ester Transfer Proteinsgene regulationgenetic variantsgenome wide association studymetabolic syndrome

Identifiers

PMID31366177
PMCPMC6723498

What Socratic 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 Socratic graph.