Evidence map›Paper›PMID 22396661›Full record

ReviewPLoS genetics2012

Modelling human regulatory variation in mouse: finding the function in genome-wide association studies and whole-genome sequencing.

Jean-François Schmouth, Russell J Bonaguro, Ximena Corso-Diaz, Elizabeth M Simpson

Abstract readReview
In one paragraph

Review in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Manipulating the Mouse Genome Using Recombineering.Advancements in genetic engineering · 2013
    Article
  8. Article
  9. Article
  10. 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

4 authors.

Jean-François SchmouthCentre for Molecular Medicine and Therapeutics at the Child and Family Research Institute, University of British Columbia, Vancouver, Canada.
Russell J Bonaguro
Ximena Corso-Diaz
Elizabeth M Simpson

Funding

Towards a High-Throughput System for Testing Human Candidate-Brain-Disease AlleleR33MH083515 · NIMH · UNIVERSITY OF BRITISH COLUMBIA · PI SIMPSON, ELIZABETH M · 2010 to 2010
$160k
NIMH NIH HHS 4R33MH083515-03NIMH NIH HHS R33 MH083515
6 · The paper itself

Abstract

An increasing body of literature from genome-wide association studies and human whole-genome sequencing highlights the identification of large numbers of candidate regulatory variants of potential therapeutic interest in numerous diseases. Our relatively poor understanding of the functions of non-coding genomic sequence, and the slow and laborious process of experimental validation of the functional significance of human regulatory variants, limits our ability to fully benefit from this information in our efforts to comprehend human disease. Humanized mouse models (HuMMs), in which human genes are introduced into the mouse, suggest an approach to this problem. In the past, HuMMs have been used successfully to study human disease variants; e.g., the complex genetic condition arising from Down syndrome, common monogenic disorders such as Huntington disease and β-thalassemia, and cancer susceptibility genes such as BRCA1. In this commentary, we highlight a novel method for high-throughput single-copy site-specific generation of HuMMs entitled High-throughput Human Genes on the X Chromosome (HuGX). This method can be applied to most human genes for which a bacterial artificial chromosome (BAC) construct can be derived and a mouse-null allele exists. This strategy comprises (1) the use of recombineering technology to create a human variant-harbouring BAC, (2) knock-in of this BAC into the mouse genome using Hprt docking technology, and (3) allele comparison by interspecies complementation. We demonstrate the throughput of the HuGX method by generating a series of seven different alleles for the human NR2E1 gene at Hprt. In future challenges, we consider the current limitations of experimental approaches and call for a concerted effort by the genetics community, for both human and mouse, to solve the challenge of the functional analysis of human regulatory variation.

Indexed as

Genetic VariationGene Transfer TechniquesGenome-Wide Association StudyRegulatory Sequences, Nucleic AcidAnimalsChromosomes, Artificial, BacterialGene Knock-In TechniquesHigh-Throughput Screening AssaysHumansHypoxanthine PhosphoribosyltransferaseMiceMice, TransgenicOrphan Nuclear ReceptorsReceptors, Cytoplasmic and NuclearX ChromosomeHypoxanthine PhosphoribosyltransferaseNR2E1 protein, humanOrphan Nuclear ReceptorsReceptors, Cytoplasmic and Nuclear

Identifiers

PMID22396661
PMCPMC3291530

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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.