Evidence map›Paper›PMID 28475862›Full record

ArticleAmerican journal of human genetics2017

High-Resolution Genetic Maps Identify Multiple Type 2 Diabetes Loci at Regulatory Hotspots in African Americans and Europeans.

Winston Lau, Toby Andrew, Nikolas Maniatis

Abstract read
In one paragraph

Article in American journal of human genetics, 2017. 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
–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

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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.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Risk assessment of type 2 diabetes in northern China based on the logistic regression model.Technology and health care : official journal of the European Society for Engineering and Medicine · 2021
    Article
  9. Article
  10. Article
  11. 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

3 authors.

Winston LauDepartment of Genetics, Evolution and Environment, University College London, WC1E 6BT London, UK.
Toby AndrewDepartment of Genomics of Common Disease, Imperial College London, W12 0NN London, UK.
Nikolas ManiatisDepartment of Genetics, Evolution and Environment, University College London, WC1E 6BT London, UK. Electronic address: n.maniatis@ucl.ac.uk.

Funding

Medical Research Council G0901017
6 · The paper itself

Abstract

Interpretation of results from genome-wide association studies for T2D is challenging. Only very few loci have been replicated in African ancestry populations and the identification of the implicated functional genes remain largely undefined. We used genetic maps that capture detailed linkage disequilibrium information in European and African Americans and applied these to large T2D case-control samples in order to estimate locations for putative functional variants in both populations. Replicated T2D locations were tested for evidence of being regulatory hotspots using adipose expression. We validated a sample of our co-location intervals using next generation sequencing and functional annotation, including enhancers, transcription, and chromatin modifications. We identified 111 additional disease-susceptibility locations, 93 of which are cosmopolitan and 18 of which are European specific. We show that many previously known signals are also risk loci in African Americans. The majority of the disease locations appear to confer risk of T2D via the regulation of expression levels for a large number (266) of cis-regulated genes, the majority of which are not the nearest genes to the disease loci. Sequencing three cosmopolitan locations provided candidate functional variants that precisely co-locate with cell-specific chromatin domains and pancreatic islet enhancers. These variants have large effect sizes and are common across populations. Results show that disease-associated loci in different populations, gene expression, and cell-specific regulatory annotation can be effectively integrated by localizing these effects on high-resolution genetic maps. The cis-regulated genes provide insights into the complex molecular pathways involved and can be used as targets for sequencing and functional molecular studies.

Indexed as

Chromosome MappingQuantitative Trait LociBlack or African AmericanBody Mass IndexCase-Control StudiesDiabetes Mellitus, Type 2FemaleGene Expression RegulationGenetic Association StudiesGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHumansLinkage DisequilibriumMalePolymorphism, Single NucleotideWhite Peopleexpression quantitative trait locigene mappinglinkage disequilibrium mapsregulationtype 2 diabetes

Identifiers

PMID28475862
PMCPMC5420350

What OpenQuestion holds

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Registered trials

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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.