Replication analysis of genetic association of the NCAN-CILP2 region with plasma lipid levels and non-alcoholic fatty liver disease in Asian ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Supichaya Boonvisut, Kazuhiro Nakayama, Saho Makishima, Kazuhisa Watanabe, Hiroshi Miyashita, Munkhtulga Lkhagvasuren, Yasuo Kagawa, Sadahiko Iwamoto

ABSTRACT

BACKGROUND: The Neurocan-cartilage intermediate layer protein 2 (NCAN-CILP2) region forms a tight linkage disequilibrium (LD) block and is associated with plasma lipid levels and non-alcoholic fatty liver disease (NAFLD) in individuals of European descent but not in the Malay and Japanese ethnic groups. Recent genome-wide resequence studies identified a missense single-nucleotide polymorphism (SNP) (rs58542926) of the transmembrane 6 superfamily member 2 (TM6SF2) gene in the NCAN-CILP2 region related to hepatic triglyceride content. This study aims to analyze the influences of SNPs in this region on NAFLD and plasma lipid levels in the Asian and Pacific ethnic groups and to reveal the reasons behind positive and negative genetic associations dependent on ethnicity. METHODS: Samples and characteristic data were collected from 3,013 Japanese, 119 Palauan, 947 Mongolian, 212 Thai and 401 Chinese people. Hepatic sonography data was obtained from the Japanese individuals. Genotyping data of five SNPs, rs58542926, rs735273, rs1009136, rs1858999, and rs16996148, were used to verify the effect on serum lipid levels by multiple linear regression, and the association with NAFLD in the Japanese population was examined by logistic regression analysis. RESULTS: rs58542926 showed significant association with the plasma triglyceride (TG) level in Japanese (P = 0.0009, effect size = 9.5 (± 3.25) mg/dl/allele) and Thai (P = 0.0008, effect size = 31.6 (± 11.7) mg/dl/allele) study subjects. In Mongolian individuals, there was a significant association of rs58542926 with total cholesterol level (P = 0.0003, 11.7 (± 3.2) mg/dl/allele) but not with TG level. In multiple comparisons in Chinese individuals, rs58542926 was weakly (P = 0.022) associated with TG levels, although the threshold for statistical significance was not reached. In Palauan individuals, there was no significant association with the studied SNPs. rs58542926 also showed significant association with Japanese NAFLD. The minor allele (t) increased NAFLD risk (OR 1.682, 95 % CI 1.289-2.196, p value 0.00013). CONCLUSION: This study confirmed the genetic association of missense SNP of TM6SF2, rs58542926, with plasma lipid levels in multiple East Asian ethnic groups and with NAFLD in Japanese individuals. More... »

PAGES

8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12944-016-0181-z

DOI

http://dx.doi.org/10.1186/s12944-016-0181-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043170447

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26758378


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": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chondroitin Sulfate Proteoglycans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ethnic Groups", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Frequency", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Association Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Haplotypes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lectins, C-Type", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Linkage Disequilibrium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lipids", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microtubule-Associated Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nerve Tissue Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Non-alcoholic Fatty Liver Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oceanic Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "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, 3311-1 Yakushiji, 329-0498, Shimotsuke, Tochigi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boonvisut", 
        "givenName": "Supichaya", 
        "id": "sg:person.010405446044.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010405446044.67"
        ], 
        "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, 3311-1 Yakushiji, 329-0498, Shimotsuke, 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": [
            "Division of Human Genetics, Center for Molecular Medicine, Jichi Medical University, 3311-1 Yakushiji, 329-0498, Shimotsuke, Tochigi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Makishima", 
        "givenName": "Saho", 
        "id": "sg:person.0756410732.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756410732.28"
        ], 
        "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, 3311-1 Yakushiji, 329-0498, Shimotsuke, Tochigi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Kazuhisa", 
        "id": "sg:person.0610164527.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610164527.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jichi Medical University", 
          "id": "https://www.grid.ac/institutes/grid.410804.9", 
          "name": [
            "Jichi Medical University Health Care Center, 329-0498, Shimotsuke, 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": "Mongolian National University", 
          "id": "https://www.grid.ac/institutes/grid.449150.d", 
          "name": [
            "School of Medicine, Mongolian National University, Bayagol district, 11th khoroo, Ulaanbaatar-city, Mongolia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lkhagvasuren", 
        "givenName": "Munkhtulga", 
        "id": "sg:person.01231746645.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231746645.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kagawa Nutrition University", 
          "id": "https://www.grid.ac/institutes/grid.411981.4", 
          "name": [
            "High Technology Research Center, Kagawa Nutrition University, 350-0288, Sakado, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kagawa", 
        "givenName": "Yasuo", 
        "id": "sg:person.01315742406.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315742406.84"
        ], 
        "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, 3311-1 Yakushiji, 329-0498, Shimotsuke, 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/10.1016/j.jff.2013.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003752739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004197131", 
          "https://doi.org/10.1038/ng.531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004197131", 
          "https://doi.org/10.1038/ng.531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008081196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008453458", 
          "https://doi.org/10.1038/ng.2901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1476-511x-10-248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008684004", 
          "https://doi.org/10.1186/1476-511x-10-248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.76", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009408087", 
          "https://doi.org/10.1038/ng.76"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0027481", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009788354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-013-1294-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012648801", 
          "https://doi.org/10.1007/s00439-013-1294-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-013-1294-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012648801", 
          "https://doi.org/10.1007/s00439-013-1294-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013290784", 
          "https://doi.org/10.1038/ng.75"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0038322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015889327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/atvbaha.109.201020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019852125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/atvbaha.109.201020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019852125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1001324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020301063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2011.12.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022546967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1323785111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028118722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028556931", 
          "https://doi.org/10.1038/ng.2926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.109.914267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035342959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.109.914267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035342959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.109.914267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035342959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m800456-jlr200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035642252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/jhg.2011.109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044025550", 
          "https://doi.org/10.1038/jhg.2011.109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jmg.2008.064063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049080629"
        ], 
        "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"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "BACKGROUND: The Neurocan-cartilage intermediate layer protein 2 (NCAN-CILP2) region forms a tight linkage disequilibrium (LD) block and is associated with plasma lipid levels and non-alcoholic fatty liver disease (NAFLD) in individuals of European descent but not in the Malay and Japanese ethnic groups. Recent genome-wide resequence studies identified a missense single-nucleotide polymorphism (SNP) (rs58542926) of the transmembrane 6 superfamily member 2 (TM6SF2) gene in the NCAN-CILP2 region related to hepatic triglyceride content. This study aims to analyze the influences of SNPs in this region on NAFLD and plasma lipid levels in the Asian and Pacific ethnic groups and to reveal the reasons behind positive and negative genetic associations dependent on ethnicity.\nMETHODS: Samples and characteristic data were collected from 3,013 Japanese, 119 Palauan, 947 Mongolian, 212 Thai and 401 Chinese people. Hepatic sonography data was obtained from the Japanese individuals. Genotyping data of five SNPs, rs58542926, rs735273, rs1009136, rs1858999, and rs16996148, were used to verify the effect on serum lipid levels by multiple linear regression, and the association with NAFLD in the Japanese population was examined by logistic regression analysis.\nRESULTS: rs58542926 showed significant association with the plasma triglyceride (TG) level in Japanese (P = 0.0009, effect size = 9.5 (\u00b1 3.25) mg/dl/allele) and Thai (P = 0.0008, effect size = 31.6 (\u00b1 11.7) mg/dl/allele) study subjects. In Mongolian individuals, there was a significant association of rs58542926 with total cholesterol level (P = 0.0003, 11.7 (\u00b1 3.2) mg/dl/allele) but not with TG level. In multiple comparisons in Chinese individuals, rs58542926 was weakly (P = 0.022) associated with TG levels, although the threshold for statistical significance was not reached. In Palauan individuals, there was no significant association with the studied SNPs. rs58542926 also showed significant association with Japanese NAFLD. The minor allele (t) increased NAFLD risk (OR 1.682, 95 % CI 1.289-2.196, p value 0.00013).\nCONCLUSION: This study confirmed the genetic association of missense SNP of TM6SF2, rs58542926, with plasma lipid levels in multiple East Asian ethnic groups and with NAFLD in Japanese individuals.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12944-016-0181-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6109600", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6139368", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6120381", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6129512", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6112234", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1031029", 
        "issn": [
          "1476-511X"
        ], 
        "name": "Lipids in Health and Disease", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Replication analysis of genetic association of the NCAN-CILP2 region with plasma lipid levels and non-alcoholic fatty liver disease in Asian and Pacific ethnic groups", 
    "pagination": "8", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cda2a32baf1444b81866a3273dca128d188b20247b1fae8e8657c90df2657812"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26758378"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101147696"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12944-016-0181-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1043170447"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12944-016-0181-z", 
      "https://app.dimensions.ai/details/publication/pub.1043170447"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:08", 
    "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_8663_00000551.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2Fs12944-016-0181-z"
  }
]
 

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/s12944-016-0181-z'

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/s12944-016-0181-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12944-016-0181-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12944-016-0181-z'


 

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

271 TRIPLES      21 PREDICATES      66 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12944-016-0181-z schema:about N07f441465ef447e9977989b0528336c8
2 N48eb9c3d80264f759bcb245ca4605a04
3 N51879791b5524370b25943395001e81b
4 N8c06d1ac6cfa4204a3577c0ab6cfaf39
5 N9b458c15fdc34c0d87ffd00d2978cd6b
6 N9f90318cfabd445a9941f5363aa7fa20
7 Nb5c367760b594cb19af512508569c9de
8 Nb624b9cdf67548d68f2d9b02173927a8
9 Nba29238d51ec49139e89d84db9d12467
10 Nbda13c8f47224c24a6a5b4060d13b820
11 Ne1b690f57b7d4424857e68759e3e8437
12 Ne54c88d891134542a86d27ce7223c3d8
13 Ne89ede9318e3451997b1207a10b0a57b
14 Nea06498c714040f19b70b8707b952aa1
15 Nec00f1e477e7496e97d107d74dcbbf77
16 Nee07940c6b594fe194ce07afdab08ef4
17 Neff648957474462ab2c3d535c2cb529d
18 anzsrc-for:06
19 anzsrc-for:0604
20 schema:author N4c1c520d7b3f40cebce9c3f10da267cc
21 schema:citation sg:pub.10.1007/s00439-012-1240-9
22 sg:pub.10.1007/s00439-013-1294-3
23 sg:pub.10.1038/jhg.2011.109
24 sg:pub.10.1038/ng.2901
25 sg:pub.10.1038/ng.2926
26 sg:pub.10.1038/ng.531
27 sg:pub.10.1038/ng.75
28 sg:pub.10.1038/ng.76
29 sg:pub.10.1186/1476-511x-10-248
30 https://doi.org/10.1016/j.ajhg.2011.12.022
31 https://doi.org/10.1016/j.jff.2013.12.006
32 https://doi.org/10.1073/pnas.1323785111
33 https://doi.org/10.1093/bioinformatics/bth457
34 https://doi.org/10.1136/jmg.2008.064063
35 https://doi.org/10.1161/atvbaha.109.201020
36 https://doi.org/10.1161/circgenetics.109.914267
37 https://doi.org/10.1194/jlr.m800456-jlr200
38 https://doi.org/10.1371/journal.pgen.1001324
39 https://doi.org/10.1371/journal.pone.0027481
40 https://doi.org/10.1371/journal.pone.0038322
41 schema:datePublished 2016-12
42 schema:datePublishedReg 2016-12-01
43 schema:description BACKGROUND: The Neurocan-cartilage intermediate layer protein 2 (NCAN-CILP2) region forms a tight linkage disequilibrium (LD) block and is associated with plasma lipid levels and non-alcoholic fatty liver disease (NAFLD) in individuals of European descent but not in the Malay and Japanese ethnic groups. Recent genome-wide resequence studies identified a missense single-nucleotide polymorphism (SNP) (rs58542926) of the transmembrane 6 superfamily member 2 (TM6SF2) gene in the NCAN-CILP2 region related to hepatic triglyceride content. This study aims to analyze the influences of SNPs in this region on NAFLD and plasma lipid levels in the Asian and Pacific ethnic groups and to reveal the reasons behind positive and negative genetic associations dependent on ethnicity. METHODS: Samples and characteristic data were collected from 3,013 Japanese, 119 Palauan, 947 Mongolian, 212 Thai and 401 Chinese people. Hepatic sonography data was obtained from the Japanese individuals. Genotyping data of five SNPs, rs58542926, rs735273, rs1009136, rs1858999, and rs16996148, were used to verify the effect on serum lipid levels by multiple linear regression, and the association with NAFLD in the Japanese population was examined by logistic regression analysis. RESULTS: rs58542926 showed significant association with the plasma triglyceride (TG) level in Japanese (P = 0.0009, effect size = 9.5 (± 3.25) mg/dl/allele) and Thai (P = 0.0008, effect size = 31.6 (± 11.7) mg/dl/allele) study subjects. In Mongolian individuals, there was a significant association of rs58542926 with total cholesterol level (P = 0.0003, 11.7 (± 3.2) mg/dl/allele) but not with TG level. In multiple comparisons in Chinese individuals, rs58542926 was weakly (P = 0.022) associated with TG levels, although the threshold for statistical significance was not reached. In Palauan individuals, there was no significant association with the studied SNPs. rs58542926 also showed significant association with Japanese NAFLD. The minor allele (t) increased NAFLD risk (OR 1.682, 95 % CI 1.289-2.196, p value 0.00013). CONCLUSION: This study confirmed the genetic association of missense SNP of TM6SF2, rs58542926, with plasma lipid levels in multiple East Asian ethnic groups and with NAFLD in Japanese individuals.
44 schema:genre research_article
45 schema:inLanguage en
46 schema:isAccessibleForFree true
47 schema:isPartOf N1cb98eba49cd4466ab75cf0b4daab760
48 Nec1da78166744b7c9db11dea5fc73f99
49 sg:journal.1031029
50 schema:name Replication analysis of genetic association of the NCAN-CILP2 region with plasma lipid levels and non-alcoholic fatty liver disease in Asian and Pacific ethnic groups
51 schema:pagination 8
52 schema:productId N22a5ce1386b948d7945adfb5efe100a1
53 N2ae70ad4b61b49a3b9accee1b4fcf79d
54 N900e9c17d256452aba3eb0a64aeb483f
55 N9049595f9edb41ae877a2543b0d6faa4
56 Na11790f7b2d0491b96baaa36086af277
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043170447
58 https://doi.org/10.1186/s12944-016-0181-z
59 schema:sdDatePublished 2019-04-10T15:08
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher N6fd1e4b1a28645a89fa11b78b85ad3ef
62 schema:url http://link.springer.com/10.1186%2Fs12944-016-0181-z
63 sgo:license sg:explorer/license/
64 sgo:sdDataset articles
65 rdf:type schema:ScholarlyArticle
66 N00485ebe1e2e4cc08269e522a46576a1 rdf:first sg:person.0756410732.28
67 rdf:rest N413565157bb04687a8308eba1d5089a4
68 N07f441465ef447e9977989b0528336c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Ethnic Groups
70 rdf:type schema:DefinedTerm
71 N1cb98eba49cd4466ab75cf0b4daab760 schema:volumeNumber 15
72 rdf:type schema:PublicationVolume
73 N22a5ce1386b948d7945adfb5efe100a1 schema:name readcube_id
74 schema:value cda2a32baf1444b81866a3273dca128d188b20247b1fae8e8657c90df2657812
75 rdf:type schema:PropertyValue
76 N2ae70ad4b61b49a3b9accee1b4fcf79d schema:name doi
77 schema:value 10.1186/s12944-016-0181-z
78 rdf:type schema:PropertyValue
79 N413565157bb04687a8308eba1d5089a4 rdf:first sg:person.0610164527.16
80 rdf:rest N497e4bc56af74cf98f56460b7656c250
81 N48eb9c3d80264f759bcb245ca4605a04 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Lipids
83 rdf:type schema:DefinedTerm
84 N497e4bc56af74cf98f56460b7656c250 rdf:first sg:person.0722632024.29
85 rdf:rest Ncf4f22e70bfb47eab5a66e0937c8ec4d
86 N4c1c520d7b3f40cebce9c3f10da267cc rdf:first sg:person.010405446044.67
87 rdf:rest Ncb47a8fed752447ba3f1e2f9dfe9fabd
88 N51879791b5524370b25943395001e81b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Asian Continental Ancestry Group
90 rdf:type schema:DefinedTerm
91 N6fd1e4b1a28645a89fa11b78b85ad3ef schema:name Springer Nature - SN SciGraph project
92 rdf:type schema:Organization
93 N8c06d1ac6cfa4204a3577c0ab6cfaf39 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Oceanic Ancestry Group
95 rdf:type schema:DefinedTerm
96 N900e9c17d256452aba3eb0a64aeb483f schema:name dimensions_id
97 schema:value pub.1043170447
98 rdf:type schema:PropertyValue
99 N9049595f9edb41ae877a2543b0d6faa4 schema:name nlm_unique_id
100 schema:value 101147696
101 rdf:type schema:PropertyValue
102 N995f2d2cab3245d8a798b11e77790c64 rdf:first sg:person.01264036557.72
103 rdf:rest rdf:nil
104 N9b458c15fdc34c0d87ffd00d2978cd6b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Reproducibility of Results
106 rdf:type schema:DefinedTerm
107 N9f90318cfabd445a9941f5363aa7fa20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Lectins, C-Type
109 rdf:type schema:DefinedTerm
110 Na11790f7b2d0491b96baaa36086af277 schema:name pubmed_id
111 schema:value 26758378
112 rdf:type schema:PropertyValue
113 Nb5c367760b594cb19af512508569c9de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Haplotypes
115 rdf:type schema:DefinedTerm
116 Nb624b9cdf67548d68f2d9b02173927a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Humans
118 rdf:type schema:DefinedTerm
119 Nba29238d51ec49139e89d84db9d12467 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Genetic Predisposition to Disease
121 rdf:type schema:DefinedTerm
122 Nbda13c8f47224c24a6a5b4060d13b820 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Genetic Association Studies
124 rdf:type schema:DefinedTerm
125 Ncb47a8fed752447ba3f1e2f9dfe9fabd rdf:first sg:person.01057752627.97
126 rdf:rest N00485ebe1e2e4cc08269e522a46576a1
127 Ncf4f22e70bfb47eab5a66e0937c8ec4d rdf:first sg:person.01231746645.71
128 rdf:rest Nff0e481efe1d41aa8d59f7189643ddf3
129 Ne1b690f57b7d4424857e68759e3e8437 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Nerve Tissue Proteins
131 rdf:type schema:DefinedTerm
132 Ne54c88d891134542a86d27ce7223c3d8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Gene Frequency
134 rdf:type schema:DefinedTerm
135 Ne89ede9318e3451997b1207a10b0a57b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Linkage Disequilibrium
137 rdf:type schema:DefinedTerm
138 Nea06498c714040f19b70b8707b952aa1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Microtubule-Associated Proteins
140 rdf:type schema:DefinedTerm
141 Nec00f1e477e7496e97d107d74dcbbf77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Non-alcoholic Fatty Liver Disease
143 rdf:type schema:DefinedTerm
144 Nec1da78166744b7c9db11dea5fc73f99 schema:issueNumber 1
145 rdf:type schema:PublicationIssue
146 Nee07940c6b594fe194ce07afdab08ef4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Chondroitin Sulfate Proteoglycans
148 rdf:type schema:DefinedTerm
149 Neff648957474462ab2c3d535c2cb529d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Polymorphism, Single Nucleotide
151 rdf:type schema:DefinedTerm
152 Nff0e481efe1d41aa8d59f7189643ddf3 rdf:first sg:person.01315742406.84
153 rdf:rest N995f2d2cab3245d8a798b11e77790c64
154 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
155 schema:name Biological Sciences
156 rdf:type schema:DefinedTerm
157 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
158 schema:name Genetics
159 rdf:type schema:DefinedTerm
160 sg:grant.6109600 http://pending.schema.org/fundedItem sg:pub.10.1186/s12944-016-0181-z
161 rdf:type schema:MonetaryGrant
162 sg:grant.6112234 http://pending.schema.org/fundedItem sg:pub.10.1186/s12944-016-0181-z
163 rdf:type schema:MonetaryGrant
164 sg:grant.6120381 http://pending.schema.org/fundedItem sg:pub.10.1186/s12944-016-0181-z
165 rdf:type schema:MonetaryGrant
166 sg:grant.6129512 http://pending.schema.org/fundedItem sg:pub.10.1186/s12944-016-0181-z
167 rdf:type schema:MonetaryGrant
168 sg:grant.6139368 http://pending.schema.org/fundedItem sg:pub.10.1186/s12944-016-0181-z
169 rdf:type schema:MonetaryGrant
170 sg:journal.1031029 schema:issn 1476-511X
171 schema:name Lipids in Health and Disease
172 rdf:type schema:Periodical
173 sg:person.010405446044.67 schema:affiliation https://www.grid.ac/institutes/grid.410804.9
174 schema:familyName Boonvisut
175 schema:givenName Supichaya
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010405446044.67
177 rdf:type schema:Person
178 sg:person.01057752627.97 schema:affiliation https://www.grid.ac/institutes/grid.410804.9
179 schema:familyName Nakayama
180 schema:givenName Kazuhiro
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057752627.97
182 rdf:type schema:Person
183 sg:person.01231746645.71 schema:affiliation https://www.grid.ac/institutes/grid.449150.d
184 schema:familyName Lkhagvasuren
185 schema:givenName Munkhtulga
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231746645.71
187 rdf:type schema:Person
188 sg:person.01264036557.72 schema:affiliation https://www.grid.ac/institutes/grid.410804.9
189 schema:familyName Iwamoto
190 schema:givenName Sadahiko
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264036557.72
192 rdf:type schema:Person
193 sg:person.01315742406.84 schema:affiliation https://www.grid.ac/institutes/grid.411981.4
194 schema:familyName Kagawa
195 schema:givenName Yasuo
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315742406.84
197 rdf:type schema:Person
198 sg:person.0610164527.16 schema:affiliation https://www.grid.ac/institutes/grid.410804.9
199 schema:familyName Watanabe
200 schema:givenName Kazuhisa
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610164527.16
202 rdf:type schema:Person
203 sg:person.0722632024.29 schema:affiliation https://www.grid.ac/institutes/grid.410804.9
204 schema:familyName Miyashita
205 schema:givenName Hiroshi
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722632024.29
207 rdf:type schema:Person
208 sg:person.0756410732.28 schema:affiliation https://www.grid.ac/institutes/grid.410804.9
209 schema:familyName Makishima
210 schema:givenName Saho
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756410732.28
212 rdf:type schema:Person
213 sg:pub.10.1007/s00439-012-1240-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052410281
214 https://doi.org/10.1007/s00439-012-1240-9
215 rdf:type schema:CreativeWork
216 sg:pub.10.1007/s00439-013-1294-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012648801
217 https://doi.org/10.1007/s00439-013-1294-3
218 rdf:type schema:CreativeWork
219 sg:pub.10.1038/jhg.2011.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044025550
220 https://doi.org/10.1038/jhg.2011.109
221 rdf:type schema:CreativeWork
222 sg:pub.10.1038/ng.2901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008453458
223 https://doi.org/10.1038/ng.2901
224 rdf:type schema:CreativeWork
225 sg:pub.10.1038/ng.2926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028556931
226 https://doi.org/10.1038/ng.2926
227 rdf:type schema:CreativeWork
228 sg:pub.10.1038/ng.531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004197131
229 https://doi.org/10.1038/ng.531
230 rdf:type schema:CreativeWork
231 sg:pub.10.1038/ng.75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013290784
232 https://doi.org/10.1038/ng.75
233 rdf:type schema:CreativeWork
234 sg:pub.10.1038/ng.76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009408087
235 https://doi.org/10.1038/ng.76
236 rdf:type schema:CreativeWork
237 sg:pub.10.1186/1476-511x-10-248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008684004
238 https://doi.org/10.1186/1476-511x-10-248
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/j.ajhg.2011.12.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022546967
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.jff.2013.12.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003752739
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1073/pnas.1323785111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028118722
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1093/bioinformatics/bth457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008081196
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1136/jmg.2008.064063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049080629
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1161/atvbaha.109.201020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019852125
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1161/circgenetics.109.914267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035342959
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1194/jlr.m800456-jlr200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035642252
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1371/journal.pgen.1001324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020301063
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1371/journal.pone.0027481 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009788354
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1371/journal.pone.0038322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015889327
261 rdf:type schema:CreativeWork
262 https://www.grid.ac/institutes/grid.410804.9 schema:alternateName Jichi Medical University
263 schema:name Division of Human Genetics, Center for Molecular Medicine, Jichi Medical University, 3311-1 Yakushiji, 329-0498, Shimotsuke, Tochigi, Japan
264 Jichi Medical University Health Care Center, 329-0498, Shimotsuke, Tochigi, Japan
265 rdf:type schema:Organization
266 https://www.grid.ac/institutes/grid.411981.4 schema:alternateName Kagawa Nutrition University
267 schema:name High Technology Research Center, Kagawa Nutrition University, 350-0288, Sakado, Saitama, Japan
268 rdf:type schema:Organization
269 https://www.grid.ac/institutes/grid.449150.d schema:alternateName Mongolian National University
270 schema:name School of Medicine, Mongolian National University, Bayagol district, 11th khoroo, Ulaanbaatar-city, Mongolia
271 rdf:type schema:Organization
 




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


...