Evidence mapPaperPMID 31363385Full record

ReviewWorld journal of diabetes2019

Recent advances and perspectives in next generation sequencing application to the genetic research of type 2 diabetes.

Yulia A Nasykhova, Yury A Barbitoff, Elena A Serebryakova, Dmitry S Katserov, Andrey S Glotov

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. From Genetics to Function: the Role of ABCA12 in Autism Neurobiology.Journal of molecular neuroscience : MN · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Diabetes: discovery of insulin, genetic, epigenetic and viral infection mediated regulation.The Nucleus : an international journal of cytology and allied topics · 2022
    Review
  9. Review
  10. Pharmacogenetics of Type 2 Diabetes-Progress and Prospects.International journal of molecular sciences · 2020
    Review
  11. 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

5 authors at 2 institutions in 2 countries.

Yulia A NasykhovaLaboratory of Biobanking and Genomic Medicine of Institute of Translation Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia.
Yury A BarbitoffLaboratory of Biobanking and Genomic Medicine of Institute of Translation Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia.
Elena A SerebryakovaDepartment of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology and Reproductology, St. Petersburg 199034, Russia.
Dmitry S KatserovInstitute of Living Systems, Immanuel Kant Baltic Federal University, Kaliningrad 236016, Russia.
Andrey S GlotovLaboratory of Biobanking and Genomic Medicine of Institute of Translation Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia. anglotov@mail.ru.
St Petersburg University · RUCity Hospital No. 40 · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) mellitus is a common complex disease that currently affects more than 400 million people worldwide and has become a global health problem. High-throughput sequencing technologies such as whole-genome and whole-exome sequencing approaches have provided numerous new insights into the molecular bases of T2D. Recent advances in the application of sequencing technologies to T2D research include, but are not limited to: (1) Fine mapping of causal rare and common genetic variants; (2) Identification of confident gene-level associations; (3) Identification of novel candidate genes by specific scoring approaches; (4) Interrogation of disease-relevant genes and pathways by transcriptional profiling and epigenome mapping techniques; and (5) Investigation of microbial community alterations in patients with T2D. In this work we review these advances in application of next-generation sequencing methods for elucidation of T2D pathogenesis, as well as progress and challenges in implementation of this new knowledge about T2D genetics in diagnosis, prevention, and treatment of the disease.

Indexed as

EpigeneticsGenome-wide association studyMicrobiomeNext-generation sequencingType 2 diabetes

Identifiers

PMID31363385
PMCPMC6656706
OpenAlexW2960130365

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.