Evidence map›Paper›PMID 30777014›Full record

ArticleBMC genetics2019

Subcongenic analysis of a quantitative trait locus affecting body weight and glucose metabolism in zinc transporter 7 (znt7)-knockout mice.

L Huang, S Tepaamorndech, C P Kirschke, Y Cai, J Zhao, Xiaohan Cao, Andrew Rao

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 3 countries.

L HuangObesity and Metabolism Research Unit, USDA/ARS/Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA, 95616, USA. liping.huang@ars.usda.gov.ORCID 0000-0003-1217-0114
S TepaamorndechIntegrative Genetics and Genomics Graduate Group, University of California Davis, One Shields Avenue, Davis, CA, 95616, USA.
C P KirschkeObesity and Metabolism Research Unit, USDA/ARS/Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA, 95616, USA.
Y CaiGraduate Group of Nutritional Biology, University of California Davis, One Shields Avenue, Davis, CA, 95616, USA.
J ZhaoDepartment of Nutrition, University of California Davis, One Shields Avenue, Davis, CA, 95616, USA.
Xiaohan CaoFood Science and Technology, University of California Davis, One Shields Avenue, Davis, CA, 95616, USA.
Andrew RaoDepartment of Nutrition, University of California Davis, One Shields Avenue, Davis, CA, 95616, USA.
University of California, Davis · USWest Health · USNanjing Xiaozhuang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA genome-wide mapping study using male F

resultsThe genetic segment for body weight on mouse chromosome 7 was investigated by newly created subcongenic znt7-KO mouse strains carrying different lengths of genomic segments of chromosome 7 from the 129P1 donor strain in the B6 background. We mapped the sub-QTL for body weight in the proximal region of the previously mapped QTL, ranging from 47.4 to 64.4 megabases (Mb) on chromosome 7. The 129P1 donor allele conferred lower body weight gain and better glucose handling during intraperitoneal glucose challenge than the B6 allele control. We identified four candidate genes, including Htatip2, E030018B13Rik, Nipa1, and Atp10a, in this sub-QTL using quantitative RT-PCR and cSNP detection (single nucleotide polymorphisms in the protein coding region).

conclusionsThis study dissected the genetic determinates of body weight and glucose metabolism in znt7-KO mice. The study demonstrated that a 17-Mb long 129P1 genomic region on mouse chromosome 7 conferred weight reduction and improved glucose tolerance in znt7-KO male mice. Among the four candidate genes identified, Htatip2 is the most likely candidate gene involved in the control of body weight based on its function in regulation of lipid metabolism. The candidate genes discovered in this study lay a foundation for future studies of their roles in development of metabolic diseases, such as obesity and type 2 diabetes.

Indexed as

AnimalsBody WeightCation Transport ProteinsChromosomes, MammalianGenomicsGlucoseMiceMice, KnockoutPhenotypePolymorphism, Single NucleotideQuantitative Trait LociTranscriptomeCation Transport ProteinsGlucoseZnT7 protein, mouseBody weightCongenic miceGlucose metabolismHtatip2QTLSlc30a7Zinc transporterZnT7

Identifiers

PMID30777014
PMCPMC6378724
OpenAlexW2921915679

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LicenceCC BY
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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.