Evidence map›Paper›PMID 21507882›Full record

ArticleGenome research2011

Deep congenic analysis identifies many strong, context-dependent QTLs, one of which, Slc35b4, regulates obesity and glucose homeostasis.

Soha N Yazbek, David A Buchner, Jonathan M Geisinger, Lindsay C Burrage, Sabrina H Spiezio, Gabriel E Zentner, Chang-Wen Hsieh, Peter C Scacheri, Colleen M Croniger, Joseph H Nadeau

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
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  5. A model and test for coordinated polygenic epistasis in complex traits.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  11. Molecules (Basel, Switzerland) · 2018
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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

10 authors at 4 institutions in 3 countries.

Soha N YazbekDepartment of Genetics, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
David A Buchner
Jonathan M Geisinger
Lindsay C Burrage
Sabrina H Spiezio
Gabriel E Zentner
Chang-Wen Hsieh
Peter C Scacheri
Colleen M Croniger
Joseph H Nadeau
University School · USInstitute for Systems Biology · USInstitut thématique Génétique, génomique et bioinformatique · FRUniversity of Michigan · US

Funding

Coordinating and Bioinformatics Unit for the MMPC/DiaCompU24DK076169 · NIDDK · AUGUSTA UNIVERSITY · PI MCINDOE, RICHARD A. · 2006 to 2018
$42.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
Transdisciplinary Research on Energetics and CancerU54CA116867 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI BERGER, NATHAN A. · 2005 to 2010
$11.3M
MOUSE GENETIC RESOURCES FOR MULTIGENIC DISEASE ANALYSIS: AIDSP40RR012305 · NCRR · CASE WESTERN RESERVE UNIVERSITY · PI BERGER, NATHAN A. · 1996 to 2011
$6.8M
Chemical and Genetic Modifiers of the Protein C PathwayF32HL082213 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUCHNER, DAVID A · 2005 to 2007
$143k
NCI NIH HHS U54 CA116867NCRR NIH HHS P40 RR012305NCRR NIH HHS RR12305NHLBI NIH HHS F32 HL082213NHLBI NIH HHS F32-HL-82213NIDDK NIH HHS DK76169NIDDK NIH HHS U24 DK076169NIGMS NIH HHS T32 GM007250NIGMS NIH HHS T32-GM07250-30
6 · The paper itself

Abstract

Although central to many studies of phenotypic variation and disease susceptibility, characterizing the genetic architecture of complex traits has been unexpectedly difficult. For example, most of the susceptibility genes that contribute to highly heritable conditions such as obesity and type 2 diabetes (T2D) remain to be identified despite intensive study. We took advantage of mouse models of diet-induced metabolic disease in chromosome substitution strains (CSSs) both to characterize the genetic architecture of diet-induced obesity and glucose homeostasis and to test the feasibility of gene discovery. Beginning with a survey of CSSs, followed with genetic and phenotypic analysis of congenic, subcongenic, and subsubcongenic strains, we identified a remarkable number of closely linked, phenotypically heterogeneous quantitative trait loci (QTLs) on mouse chromosome 6 that have unexpectedly large phenotypic effects. Although fine-mapping reduced the genomic intervals and gene content of these QTLs over 3000-fold, the average phenotypic effect on body weight was reduced less than threefold, highlighting the "fractal" nature of genetic architecture in mice. Despite this genetic complexity, we found evidence for 14 QTLs in only 32 recombination events in less than 3000 mice, and with an average of four genes located within the three body weight QTLs in the subsubcongenic strains. For Obrq2a1, genetic and functional studies collectively identified the solute receptor Slc35b4 as a regulator of obesity, insulin resistance, and gluconeogenesis. This work demonstrated the unique power of CSSs as a platform for studying complex genetic traits and identifying QTLs.

Indexed as

Quantitative Trait LociAnimalsBody WeightChromosome MappingChromosomes, MammalianDiabetes Mellitus, Type 2DietGene Expression RegulationGluconeogenesisGlucoseHep G2 CellsHigh-Throughput Nucleotide SequencingHomeostasisHumansInsulin ResistanceMaleGlucoseNucleotide Transport ProteinsSLC35B4 protein, human

Identifiers

PMID21507882
PMCPMC3129249
OpenAlexW2106066865

What OpenQuestion holds

Textmetadata
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.