Evidence map›Paper›PMID 36830626›Full record

ReviewBiomolecules2023

Understanding Insulin in the Age of Precision Medicine and Big Data: Under-Explored Nature of Genomics.

Taylor W Cook, Amy M Wilstermann, Jackson T Mitchell, Nicholas E Arnold, Surender Rajasekaran, Caleb P Bupp, Jeremy W Prokop

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

7 authors at 3 institutions in 1 country.

Taylor W CookDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
Amy M WilstermannDepartment of Biology, Calvin University, Grand Rapids, MI 49546, USA.
Jackson T MitchellDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
Nicholas E ArnoldDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
Surender RajasekaranDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
Caleb P BuppDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.ORCID 0000-0003-4255-0396
Jeremy W ProkopDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
Corewell HealthMichigan State University · USCalvin University · US

Funding

Using a Sequence-to-Structure-to-Function Approach to Functionally Characterize Protein Coding Missense Mutations in the Human and Rat GenomesK01ES025435 · NIEHS · MICHIGAN STATE UNIVERSITY · PI PROKOP, JEREMY WILLIAM · 2014 to 2018
$489k
NIEHS NIH HHS K01 ES025435
6 · The paper itself

Abstract

Insulin is amongst the human genome's most well-studied genes/proteins due to its connection to metabolic health. Within this article, we review literature and data to build a knowledge base of Insulin (

Indexed as

Diabetes Mellitus, Type 1Precision MedicineGenomicsHumansPancreasProinsulinProinsulinexpressiongenomic variantsinsulinprotein foldingprotein processingreceptor bindingsplicing

Identifiers

PMID36830626
PMCPMC9953665
OpenAlexW4318482973

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.