Seasonal effects of the UCP3 and the RPTOR gene polymorphisms on obesity traits in Japanese adults View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Kazuhiro Nakayama, Hiroshi Miyashita, Sadahiko Iwamoto

ABSTRACT

BACKGROUND: Non-shivering thermogenesis (NST) involves a substantial amount of energy expenditure in humans and, thus, contributes to reducing the risk for obesity. Molecular evolutionary studies have reported that SNPs in/near the uncoupling protein 3 gene (UCP3) and the regulatory associated protein of mTOR complex 1 gene (RPTOR) might influence NST and confer adaptive advantages for modern human dispersal into cold environments. In the present study, the impact of these SNPs on obesity-related traits was investigated. METHODS: Study subjects consisted of 2,834 Japanese adults (percentage of female: 46%, mean age: 51.5). Associations of the UCP3-55C/T and the RPTOR-26934C/T - the 2 potential genetic variations involved in cold adaptation and thermogenic mechanisms in mammals, with quantitative obesity-related traits including body mass index (BMI), waist circumference, visceral fat area (VFA), VFA adjusted for BMI, and selected blood parameters - were tested using multiple linear regression models. Sliding windowsampling analysis was applied to depict seasonal effects of the SNPs on the obesity-related phenotypes. RESULTS: UCP3-55C/T and the RPTOR-26934C/T did not show any association with obesity traits and blood chemical parameters in multiple linear regression models consisting of the whole subjects. Moreover, sliding window sampling-based association analyses involving seasonality also failed to find associations between these two SNPs and obesity-related traits. CONCLUSIONS: UCP3-55C/T and the RPTOR-26934C/T may only have subtle effects on the development of obesity-related traits in the present humans. These two SNPs might be irrelevant to inter-individual variations in energy metabolism and efficiency of NST. More... »

PAGES

38

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1880-6805-33-38

DOI

http://dx.doi.org/10.1186/1880-6805-33-38

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009623683

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25533680


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adaptor Proteins, Signal Transducing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cholesterol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intra-Abdominal Fat", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ion Channels", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mitochondrial Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Regulatory-Associated Protein of mTOR", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Uncoupling Protein 3", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Waist Circumference", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Jichi Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410804.9", 
          "name": [
            "Division of Human Genetics, Center for Molecular Medicine, Jichi Medical University, 329-0498, Shimotsuke-shi, Tochigi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakayama", 
        "givenName": "Kazuhiro", 
        "id": "sg:person.01057752627.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057752627.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jichi Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410804.9", 
          "name": [
            "Jichi Medical University Health Care Center, 329-0434, Shimotsuke-shi, Tochigi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyashita", 
        "givenName": "Hiroshi", 
        "id": "sg:person.0722632024.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722632024.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jichi Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410804.9", 
          "name": [
            "Division of Human Genetics, Center for Molecular Medicine, Jichi Medical University, 329-0498, Shimotsuke-shi, Tochigi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwamoto", 
        "givenName": "Sadahiko", 
        "id": "sg:person.01264036557.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264036557.72"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1371/journal.pone.0096411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001671853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0092-8674(02)00833-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002278073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.0040032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003836421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msq228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005601405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bjsm.37.5.436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011785982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2008.09.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011967230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1880-6805-31-22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013317427", 
          "https://doi.org/10.1186/1880-6805-31-22"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0058939", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014023901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.exger.2011.07.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016611172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1001178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018522069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0808718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020175954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cbpb.2004.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022100843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physbeh.2004.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027349675"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2012.161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028922654", 
          "https://doi.org/10.1038/ijo.2012.161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0074720", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029347305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0808949", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031171399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db09-0530", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035673676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2013-2103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038553308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tem.2012.04.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039049464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2010.261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040330740", 
          "https://doi.org/10.1038/ijo.2010.261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2005.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047157535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2005.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047157535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0054259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047633011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1001375", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048290635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/oby.2011.125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048888624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049236324", 
          "https://doi.org/10.1038/ng.2606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0810780", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049326570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-012-1240-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052410281", 
          "https://doi.org/10.1007/s00439-012-1240-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-012-1240-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052410281", 
          "https://doi.org/10.1007/s00439-012-1240-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.28.2.451", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053275265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jappl.1997.83.1.229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083115325"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: Non-shivering thermogenesis (NST) involves a substantial amount of energy expenditure in humans and, thus, contributes to reducing the risk for obesity. Molecular evolutionary studies have reported that SNPs in/near the uncoupling protein 3 gene (UCP3) and the regulatory associated protein of mTOR complex 1 gene (RPTOR) might influence NST and confer adaptive advantages for modern human dispersal into cold environments. In the present study, the impact of these SNPs on obesity-related traits was investigated.\nMETHODS: Study subjects consisted of 2,834 Japanese adults (percentage of female: 46%, mean age: 51.5). Associations of the UCP3-55C/T and the RPTOR-26934C/T - the 2 potential genetic variations involved in cold adaptation and thermogenic mechanisms in mammals, with quantitative obesity-related traits including body mass index (BMI), waist circumference, visceral fat area (VFA), VFA adjusted for BMI, and selected blood parameters - were tested using multiple linear regression models. Sliding windowsampling analysis was applied to depict seasonal effects of the SNPs on the obesity-related phenotypes.\nRESULTS: UCP3-55C/T and the RPTOR-26934C/T did not show any association with obesity traits and blood chemical parameters in multiple linear regression models consisting of the whole subjects. Moreover, sliding window sampling-based association analyses involving seasonality also failed to find associations between these two SNPs and obesity-related traits.\nCONCLUSIONS: UCP3-55C/T and the RPTOR-26934C/T may only have subtle effects on the development of obesity-related traits in the present humans. These two SNPs might be irrelevant to inter-individual variations in energy metabolism and efficiency of NST.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1880-6805-33-38", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6109600", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6139368", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6129512", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1319763", 
        "issn": [
          "1880-6791", 
          "1880-6805"
        ], 
        "name": "Journal of Physical Anthropology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "33"
      }
    ], 
    "name": "Seasonal effects of the UCP3 and the RPTOR gene polymorphisms on obesity traits in Japanese adults", 
    "pagination": "38", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2dd869df12f9b280c9f6fcda651397023d4ceb5aa53869ebeef81a6e0bd6f766"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25533680"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101269653"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1880-6805-33-38"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1009623683"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1880-6805-33-38", 
      "https://app.dimensions.ai/details/publication/pub.1009623683"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:59", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8700_00000510.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1880-6805-33-38"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1880-6805-33-38'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1880-6805-33-38'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1880-6805-33-38'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1880-6805-33-38'


 

This table displays all metadata directly associated to this object as RDF triples.

254 TRIPLES      21 PREDICATES      76 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1880-6805-33-38 schema:about N1bb3d835b7364aed92c1d58ef3c173f7
2 N258b408bda9c40fb8496cd585ba4c7af
3 N39b09aeac6104301aea46e8bc21e0d07
4 N481c56280ec64397854cbc279be8ddeb
5 N570ffd8315da45bdad521622f9efc6f8
6 N68bb3d4682784e66a8f887d422e5e87e
7 N98309fa6f37d4201bd3cb3e8d7291c69
8 Na289948d915343f98b77a8a50f99a414
9 Nb469fac7458e4d4f8821ec7bb371fd67
10 Nc71bbc39ae1748c082fdd433b80c0a37
11 Nc9c39b74b78343af863c9238af4463cc
12 Nd2a6bb7b932e4f548534afd8c5d56e9c
13 Nd62518b42e8a48599f3f9cbb5a86829c
14 Ne41f59c48dc84978a56daf1083f38028
15 Ne4b1880981e241b69157f4c9b120655d
16 Ne89c31647e84497f9b1f07f7bfe87332
17 Nf865862688c745899505f08a526fa155
18 Nff50016fef6849699405859215efd579
19 anzsrc-for:06
20 anzsrc-for:0604
21 schema:author N433e8bee3f864c55aeeaba38d08f3a1e
22 schema:citation sg:pub.10.1007/s00439-012-1240-9
23 sg:pub.10.1038/ijo.2010.261
24 sg:pub.10.1038/ijo.2012.161
25 sg:pub.10.1038/ng.2606
26 sg:pub.10.1186/1880-6805-31-22
27 https://doi.org/10.1016/j.cbpb.2004.09.006
28 https://doi.org/10.1016/j.cmet.2005.06.002
29 https://doi.org/10.1016/j.cmet.2008.09.003
30 https://doi.org/10.1016/j.exger.2011.07.011
31 https://doi.org/10.1016/j.physbeh.2004.05.001
32 https://doi.org/10.1016/j.tem.2012.04.004
33 https://doi.org/10.1016/s0092-8674(02)00833-4
34 https://doi.org/10.1038/oby.2011.125
35 https://doi.org/10.1056/nejmoa0808718
36 https://doi.org/10.1056/nejmoa0808949
37 https://doi.org/10.1056/nejmoa0810780
38 https://doi.org/10.1093/molbev/msq228
39 https://doi.org/10.1136/bjsm.37.5.436
40 https://doi.org/10.1152/jappl.1997.83.1.229
41 https://doi.org/10.1210/en.2013-2103
42 https://doi.org/10.1371/journal.pgen.0040032
43 https://doi.org/10.1371/journal.pgen.1001178
44 https://doi.org/10.1371/journal.pgen.1001375
45 https://doi.org/10.1371/journal.pone.0054259
46 https://doi.org/10.1371/journal.pone.0058939
47 https://doi.org/10.1371/journal.pone.0074720
48 https://doi.org/10.1371/journal.pone.0096411
49 https://doi.org/10.2337/db09-0530
50 https://doi.org/10.2337/diacare.28.2.451
51 schema:datePublished 2014-12
52 schema:datePublishedReg 2014-12-01
53 schema:description BACKGROUND: Non-shivering thermogenesis (NST) involves a substantial amount of energy expenditure in humans and, thus, contributes to reducing the risk for obesity. Molecular evolutionary studies have reported that SNPs in/near the uncoupling protein 3 gene (UCP3) and the regulatory associated protein of mTOR complex 1 gene (RPTOR) might influence NST and confer adaptive advantages for modern human dispersal into cold environments. In the present study, the impact of these SNPs on obesity-related traits was investigated. METHODS: Study subjects consisted of 2,834 Japanese adults (percentage of female: 46%, mean age: 51.5). Associations of the UCP3-55C/T and the RPTOR-26934C/T - the 2 potential genetic variations involved in cold adaptation and thermogenic mechanisms in mammals, with quantitative obesity-related traits including body mass index (BMI), waist circumference, visceral fat area (VFA), VFA adjusted for BMI, and selected blood parameters - were tested using multiple linear regression models. Sliding windowsampling analysis was applied to depict seasonal effects of the SNPs on the obesity-related phenotypes. RESULTS: UCP3-55C/T and the RPTOR-26934C/T did not show any association with obesity traits and blood chemical parameters in multiple linear regression models consisting of the whole subjects. Moreover, sliding window sampling-based association analyses involving seasonality also failed to find associations between these two SNPs and obesity-related traits. CONCLUSIONS: UCP3-55C/T and the RPTOR-26934C/T may only have subtle effects on the development of obesity-related traits in the present humans. These two SNPs might be irrelevant to inter-individual variations in energy metabolism and efficiency of NST.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree true
57 schema:isPartOf N27ba57f06c854515b175b69eecb3e65d
58 N7e545955809f450f988fca83258f0af2
59 sg:journal.1319763
60 schema:name Seasonal effects of the UCP3 and the RPTOR gene polymorphisms on obesity traits in Japanese adults
61 schema:pagination 38
62 schema:productId N27a742616ed34a57993b00a699c29240
63 N62db8021d90a4eaf838b18209da50cd3
64 N6e8d45a21220413e949b4687ca1b291f
65 Nb94ca4f6ff644ec1afb3f911a2ac701c
66 Nf8ac9278214e43f9bc1653d4c8bb71db
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009623683
68 https://doi.org/10.1186/1880-6805-33-38
69 schema:sdDatePublished 2019-04-11T01:59
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher N887fdd9083b74cf5acc222d28c358330
72 schema:url http://link.springer.com/10.1186%2F1880-6805-33-38
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N1bb3d835b7364aed92c1d58ef3c173f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Uncoupling Protein 3
78 rdf:type schema:DefinedTerm
79 N258b408bda9c40fb8496cd585ba4c7af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Obesity
81 rdf:type schema:DefinedTerm
82 N27a742616ed34a57993b00a699c29240 schema:name pubmed_id
83 schema:value 25533680
84 rdf:type schema:PropertyValue
85 N27ba57f06c854515b175b69eecb3e65d schema:volumeNumber 33
86 rdf:type schema:PublicationVolume
87 N39b09aeac6104301aea46e8bc21e0d07 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Female
89 rdf:type schema:DefinedTerm
90 N433e8bee3f864c55aeeaba38d08f3a1e rdf:first sg:person.01057752627.97
91 rdf:rest Nf69ec31ca8c64ce88f91f60f4f5f6697
92 N481c56280ec64397854cbc279be8ddeb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Mitochondrial Proteins
94 rdf:type schema:DefinedTerm
95 N570ffd8315da45bdad521622f9efc6f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Male
97 rdf:type schema:DefinedTerm
98 N62db8021d90a4eaf838b18209da50cd3 schema:name nlm_unique_id
99 schema:value 101269653
100 rdf:type schema:PropertyValue
101 N68bb3d4682784e66a8f887d422e5e87e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Intra-Abdominal Fat
103 rdf:type schema:DefinedTerm
104 N6e8d45a21220413e949b4687ca1b291f schema:name readcube_id
105 schema:value 2dd869df12f9b280c9f6fcda651397023d4ceb5aa53869ebeef81a6e0bd6f766
106 rdf:type schema:PropertyValue
107 N7e545955809f450f988fca83258f0af2 schema:issueNumber 1
108 rdf:type schema:PublicationIssue
109 N887fdd9083b74cf5acc222d28c358330 schema:name Springer Nature - SN SciGraph project
110 rdf:type schema:Organization
111 N98309fa6f37d4201bd3cb3e8d7291c69 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Adaptor Proteins, Signal Transducing
113 rdf:type schema:DefinedTerm
114 Na289948d915343f98b77a8a50f99a414 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Regulatory-Associated Protein of mTOR
116 rdf:type schema:DefinedTerm
117 Nb469fac7458e4d4f8821ec7bb371fd67 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Ion Channels
119 rdf:type schema:DefinedTerm
120 Nb94ca4f6ff644ec1afb3f911a2ac701c schema:name dimensions_id
121 schema:value pub.1009623683
122 rdf:type schema:PropertyValue
123 Nc71bbc39ae1748c082fdd433b80c0a37 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Humans
125 rdf:type schema:DefinedTerm
126 Nc9c39b74b78343af863c9238af4463cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Middle Aged
128 rdf:type schema:DefinedTerm
129 Nd2a6bb7b932e4f548534afd8c5d56e9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Body Mass Index
131 rdf:type schema:DefinedTerm
132 Nd62518b42e8a48599f3f9cbb5a86829c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Polymorphism, Single Nucleotide
134 rdf:type schema:DefinedTerm
135 Ne41f59c48dc84978a56daf1083f38028 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Asian Continental Ancestry Group
137 rdf:type schema:DefinedTerm
138 Ne4b1880981e241b69157f4c9b120655d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Japan
140 rdf:type schema:DefinedTerm
141 Ne6a4f79edef145cbb394c104cb1ec726 rdf:first sg:person.01264036557.72
142 rdf:rest rdf:nil
143 Ne89c31647e84497f9b1f07f7bfe87332 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Waist Circumference
145 rdf:type schema:DefinedTerm
146 Nf69ec31ca8c64ce88f91f60f4f5f6697 rdf:first sg:person.0722632024.29
147 rdf:rest Ne6a4f79edef145cbb394c104cb1ec726
148 Nf865862688c745899505f08a526fa155 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Cholesterol
150 rdf:type schema:DefinedTerm
151 Nf8ac9278214e43f9bc1653d4c8bb71db schema:name doi
152 schema:value 10.1186/1880-6805-33-38
153 rdf:type schema:PropertyValue
154 Nff50016fef6849699405859215efd579 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Adult
156 rdf:type schema:DefinedTerm
157 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
158 schema:name Biological Sciences
159 rdf:type schema:DefinedTerm
160 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
161 schema:name Genetics
162 rdf:type schema:DefinedTerm
163 sg:grant.6109600 http://pending.schema.org/fundedItem sg:pub.10.1186/1880-6805-33-38
164 rdf:type schema:MonetaryGrant
165 sg:grant.6129512 http://pending.schema.org/fundedItem sg:pub.10.1186/1880-6805-33-38
166 rdf:type schema:MonetaryGrant
167 sg:grant.6139368 http://pending.schema.org/fundedItem sg:pub.10.1186/1880-6805-33-38
168 rdf:type schema:MonetaryGrant
169 sg:journal.1319763 schema:issn 1880-6791
170 1880-6805
171 schema:name Journal of Physical Anthropology
172 rdf:type schema:Periodical
173 sg:person.01057752627.97 schema:affiliation https://www.grid.ac/institutes/grid.410804.9
174 schema:familyName Nakayama
175 schema:givenName Kazuhiro
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057752627.97
177 rdf:type schema:Person
178 sg:person.01264036557.72 schema:affiliation https://www.grid.ac/institutes/grid.410804.9
179 schema:familyName Iwamoto
180 schema:givenName Sadahiko
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264036557.72
182 rdf:type schema:Person
183 sg:person.0722632024.29 schema:affiliation https://www.grid.ac/institutes/grid.410804.9
184 schema:familyName Miyashita
185 schema:givenName Hiroshi
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722632024.29
187 rdf:type schema:Person
188 sg:pub.10.1007/s00439-012-1240-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052410281
189 https://doi.org/10.1007/s00439-012-1240-9
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/ijo.2010.261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040330740
192 https://doi.org/10.1038/ijo.2010.261
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/ijo.2012.161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028922654
195 https://doi.org/10.1038/ijo.2012.161
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/ng.2606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049236324
198 https://doi.org/10.1038/ng.2606
199 rdf:type schema:CreativeWork
200 sg:pub.10.1186/1880-6805-31-22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013317427
201 https://doi.org/10.1186/1880-6805-31-22
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.cbpb.2004.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022100843
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.cmet.2005.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047157535
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.cmet.2008.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011967230
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.exger.2011.07.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016611172
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.physbeh.2004.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027349675
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.tem.2012.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039049464
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/s0092-8674(02)00833-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002278073
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1038/oby.2011.125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048888624
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1056/nejmoa0808718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020175954
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1056/nejmoa0808949 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031171399
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1056/nejmoa0810780 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049326570
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1093/molbev/msq228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005601405
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1136/bjsm.37.5.436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011785982
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1152/jappl.1997.83.1.229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083115325
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1210/en.2013-2103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038553308
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1371/journal.pgen.0040032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003836421
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1371/journal.pgen.1001178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018522069
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1371/journal.pgen.1001375 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048290635
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1371/journal.pone.0054259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047633011
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1371/journal.pone.0058939 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014023901
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1371/journal.pone.0074720 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029347305
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1371/journal.pone.0096411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001671853
246 rdf:type schema:CreativeWork
247 https://doi.org/10.2337/db09-0530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035673676
248 rdf:type schema:CreativeWork
249 https://doi.org/10.2337/diacare.28.2.451 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053275265
250 rdf:type schema:CreativeWork
251 https://www.grid.ac/institutes/grid.410804.9 schema:alternateName Jichi Medical University
252 schema:name Division of Human Genetics, Center for Molecular Medicine, Jichi Medical University, 329-0498, Shimotsuke-shi, Tochigi, Japan
253 Jichi Medical University Health Care Center, 329-0434, Shimotsuke-shi, Tochigi, Japan
254 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...