Evidence map›Paper›PMID 29439679›Full record

ArticleBMC medical genetics2018

Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India.

Viswanathan Mohan, Venkatesan Radha, Thong T Nguyen, Eric W Stawiski, Kanika Bajaj Pahuja, Leonard D Goldstein, Jennifer Tom, Ranjit Mohan Anjana, Monica Kong-Beltran, Tushar Bhangale and 16 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
9.9field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Clinical and Genetic Characteristics ofJournal of diabetes research · 2021
    Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Phenotypic and Genetic Diversity in Diabetes Across Populations.The Journal of clinical endocrinology and metabolism · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. MODY Only Monogenic? A Narrative Review of theInternational journal of molecular sciences · 2024
    Review
  16. Article
  17. Stress Induced Hyperglycemia in Early Childhood as a Clue for the Diagnosis of NEUROD1-MODYJournal of clinical research in pediatric endocrinology · 2024
    Article
  18. Article
  19. Monogenic diabetes.Nature reviews. Disease primers · 2023
    Review
  20. Review
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

26 authors at 5 institutions in 3 countries.

Viswanathan MohanMadras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, No. 4, Conran Smith Road, Gopalapuram, Chennai, Tamil Nadu, 600 086, India. drmohans@diabetes.ind.in.
Venkatesan RadhaMadras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, No. 4, Conran Smith Road, Gopalapuram, Chennai, Tamil Nadu, 600 086, India.
Thong T NguyenDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Eric W StawiskiDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Kanika Bajaj PahujaDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Leonard D GoldsteinDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Jennifer TomDepartment of Bioinformatics and Computational Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Ranjit Mohan AnjanaMadras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, No. 4, Conran Smith Road, Gopalapuram, Chennai, Tamil Nadu, 600 086, India.
Monica Kong-BeltranDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Tushar BhangaleDepartment of Bioinformatics and Computational Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Suresh JahnaviMadras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, No. 4, Conran Smith Road, Gopalapuram, Chennai, Tamil Nadu, 600 086, India.
Radhakrishnan ChandniDepartment of General Medicine, Govt. Medical College, Kozhikode, 673008, India.
Vijay GayathriMadras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, No. 4, Conran Smith Road, Gopalapuram, Chennai, Tamil Nadu, 600 086, India.
Paul GeorgeMedGenome, Bangalore, Karnataka, 560 099, India.
Na ZhangDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Sakthivel MuruganMedGenome, Bangalore, Karnataka, 560 099, India.
Sameer PhalkeMedGenome, Bangalore, Karnataka, 560 099, India.
Subhra ChaudhuriDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Ravi GuptaMedGenome, Bangalore, Karnataka, 560 099, India.
Jingli ZhangDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Sam SanthoshMedGenome, Bangalore, Karnataka, 560 099, India.
Jeremy StinsonDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Zora ModrusanDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
V L RamprasadMedGenome, Bangalore, Karnataka, 560 099, India.
Somasekar SeshagiriDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA. sekar@gene.com.ORCID 0000-0003-4272-6443
Andrew S PetersonDepartment of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA. andrewp@gene.com.
SciGenom Labs (India) · INMadras Diabetes Research Foundation · INGene Therapy Laboratory · FRGovernment Medical College · INInstitute of Human Genetics · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaturity-onset diabetes of the young (MODY) is an early-onset, autosomal dominant form of non-insulin dependent diabetes. Genetic diagnosis of MODY can transform patient management. Earlier data on the genetic predisposition to MODY have come primarily from familial studies in populations of European origin.

methodsIn this study, we carried out a comprehensive genomic analysis of 289 individuals from India that included 152 clinically diagnosed MODY cases to identify variants in known MODY genes. Further, we have analyzed exome data to identify putative MODY relevant variants in genes previously not implicated in MODY. Functional validation of MODY relevant variants was also performed.

resultsWe found MODY 3 (HNF1A; 7.2%) to be most frequently mutated followed by MODY 12 (ABCC8; 3.3%). They together account for ~ 11% of the cases. In addition to known MODY genes, we report the identification of variants in RFX6, WFS1, AKT2, NKX6-1 that may contribute to development of MODY. Functional assessment of the NKX6-1 variants showed that they are functionally impaired.

conclusionsOur findings showed HNF1A and ABCC8 to be the most frequently mutated MODY genes in south India. Further we provide evidence for additional MODY relevant genes, such as NKX6-1, and these require further validation.

Indexed as

AdolescentAdultCohort StudiesDiabetes Mellitus, Type 2ExomeFemaleGene LibraryGenetic Predisposition to DiseaseGenomicsGlycated HemoglobinHepatocyte Nuclear Factor 1-alphaHomeodomain ProteinsHumansIndiaMaleMembrane ProteinsABCC8 protein, humanAKT2 protein, humanGlycated HemoglobinHepatocyte Nuclear Factor 1-alphaHomeodomain ProteinsMembrane ProteinsNKX6-1 protein, humanProto-Oncogene Proteins c-aktRegulatory Factor X Transcription FactorsRfx6 protein, humanSulfonylurea Receptorswolframin proteinDiabetesExomeGenomics analysisMODYNKX6–1

Identifiers

PMID29439679
PMCPMC5811965
OpenAlexW2806325382

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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.