Evidence map›Paper›PMID 26902266›Full record

SynthesisScientific reports2016

Genome wide association study of uric acid in Indian population and interaction of identified variants with Type 2 diabetes.

Anil K Giri, Priyanka Banerjee, Shraddha Chakraborty, Yasmeen Kauser, Aditya Undru, Suki Roy, Vaisak Parekatt, Saurabh Ghosh, Nikhil Tandon, Dwaipayan Bharadwaj

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 57 citations in OpenAlex.

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  15. An update on the genetics of hyperuricaemia and gout.Nature reviews. Rheumatology · 2018
    Review
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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

10 authors at 4 institutions in 1 country.

Anil K GiriGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.
Priyanka BanerjeeGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.
Shraddha ChakrabortyGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.
Yasmeen KauserGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.
Aditya UndruGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.
Suki RoyGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.
Vaisak ParekattGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.
Saurabh GhoshHuman Genetics Unit, Indian Statistical Institute, Kolkata - 700108, India.
Nikhil TandonDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi 110029, India.
Dwaipayan BharadwajGenomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110020, India.
Institute of Genomics and Integrative Biology · INAcademy of Scientific and Innovative Research · INAll India Institute of Medical Sciences · INIndian Statistical Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal level of Serum Uric Acid (SUA) is an important marker and risk factor for complex diseases including Type 2 Diabetes. Since genetic determinant of uric acid in Indians is totally unexplored, we tried to identify common variants associated with SUA in Indians using Genome Wide Association Study (GWAS). Association of five known variants in SLC2A9 and SLC22A11 genes with SUA level in 4,834 normoglycemics (1,109 in discovery and 3,725 in validation phase) was revealed with different effect size in Indians compared to other major ethnic population of the world. Combined analysis of 1,077 T2DM subjects (772 in discovery and 305 in validation phase) and normoglycemics revealed additional GWAS signal in ABCG2 gene. Differences in effect sizes of ABCG2 and SLC2A9 gene variants were observed between normoglycemics and T2DM patients. We identified two novel variants near long non-coding RNA genes AL356739.1 and AC064865.1 with nearly genome wide significance level. Meta-analysis and in silico replication in 11,745 individuals from AUSTWIN consortium improved association for rs12206002 in AL356739.1 gene to sub-genome wide association level. Our results extends association of SLC2A9, SLC22A11 and ABCG2 genes with SUA level in Indians and enrich the assemblages of evidence for SUA level and T2DM interrelationship.

Indexed as

Polymorphism, Single NucleotideAdultATP Binding Cassette Transporter, Subfamily G, Member 2Case-Control StudiesDiabetes Mellitus, Type 2FemaleGene Expression RegulationGenome, HumanGenome-Wide Association StudyGlucose Transport Proteins, FacilitativeHumansIndiaMaleNeoplasm ProteinsOrganic Anion Transporters, Sodium-IndependentRNA, Long NoncodingABCG2 protein, humanATP Binding Cassette Transporter, Subfamily G, Member 2Glucose Transport Proteins, FacilitativeNeoplasm ProteinsOrganic Anion Transporters, Sodium-IndependentRNA, Long NoncodingSLC22A11 protein, humanSLC2A9 protein, humanUric Acid

Identifiers

PMID26902266
PMCPMC4763273
OpenAlexW2398091221

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.