Comparison of linkage and association strategies for quantitative traits using the COGA dataset View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-12

AUTHORS

Matthew B McQueen, Amy Murphy, Peter Kraft, Jessica Su, Ross Lazarus, Nan M Laird, Christoph Lange, Kristel Van Steen

ABSTRACT

Genome scans using dense single-nucleotide polymorphism (SNP) data have recently become a reality. It is thought that the increase in information content for linkage analysis as a result of the denser scans will help refine previously identified linkage regions and possibly identify new regions not identifiable using the sparser, microsatellite scans. In the context of the dense SNP scans, it is also possible to consider association strategies to provide even more information about potential regions of interest. To circumvent the multiple-testing issues inherent in association analysis, we use a recently developed strategy, implemented in PBAT, which screens the data to identify the optimal SNPs for testing, without biasing the nominal significance level. We compare the results from the PBAT analysis to that of quantitative linkage analysis on chromosome 4 using the Collaborative Study on the Genetics of Alcoholism data, as released through Genetic Analysis Workshop 14. More... »

PAGES

s96

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2156-6-s1-s96

DOI

http://dx.doi.org/10.1186/1471-2156-6-s1-s96

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045334355

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16451712


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": "Alcoholism", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromosomes, Human, Pair 4", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cooperative Behavior", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Linkage", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quantitative Trait, Heritable", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McQueen", 
        "givenName": "Matthew B", 
        "id": "sg:person.013502425777.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013502425777.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Murphy", 
        "givenName": "Amy", 
        "id": "sg:person.01047505230.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047505230.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA", 
            "Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kraft", 
        "givenName": "Peter", 
        "id": "sg:person.01347664403.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347664403.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Su", 
        "givenName": "Jessica", 
        "id": "sg:person.01262023142.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262023142.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Channing Laboratory, Harvard Medical School, 181 Longwood Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lazarus", 
        "givenName": "Ross", 
        "id": "sg:person.0766744011.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766744011.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laird", 
        "givenName": "Nan M", 
        "id": "sg:person.01205773172.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205773172.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lange", 
        "givenName": "Christoph", 
        "id": "sg:person.01342332616.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342332616.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Van Steen", 
        "givenName": "Kristel", 
        "id": "sg:person.01320666741.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320666741.12"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/(sici)1096-8628(19980508)81:3<207::aid-ajmg1>3.0.co;2-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007537499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008081196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000073728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014451174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0301-0511(02)00060-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021129875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025472883", 
          "https://doi.org/10.1038/ng1582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025472883", 
          "https://doi.org/10.1038/ng1582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025472883", 
          "https://doi.org/10.1038/ng1582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/gepi.209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029825845"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.052716399", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030019385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1098-2272(2000)19:1+<::aid-gepi6>3.0.co;2-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032977743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041343500", 
          "https://doi.org/10.1038/ng786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041343500", 
          "https://doi.org/10.1038/ng786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35015718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051065086", 
          "https://doi.org/10.1038/35015718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35015718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051065086", 
          "https://doi.org/10.1038/35015718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/378591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058671624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/378591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058671624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/381563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058673343"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-12", 
    "datePublishedReg": "2005-12-01", 
    "description": "Genome scans using dense single-nucleotide polymorphism (SNP) data have recently become a reality. It is thought that the increase in information content for linkage analysis as a result of the denser scans will help refine previously identified linkage regions and possibly identify new regions not identifiable using the sparser, microsatellite scans. In the context of the dense SNP scans, it is also possible to consider association strategies to provide even more information about potential regions of interest. To circumvent the multiple-testing issues inherent in association analysis, we use a recently developed strategy, implemented in PBAT, which screens the data to identify the optimal SNPs for testing, without biasing the nominal significance level. We compare the results from the PBAT analysis to that of quantitative linkage analysis on chromosome 4 using the Collaborative Study on the Genetics of Alcoholism data, as released through Genetic Analysis Workshop 14.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2156-6-s1-s96", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2685195", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2528020", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024251", 
        "issn": [
          "1471-2156"
        ], 
        "name": "BMC Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "Suppl 1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Comparison of linkage and association strategies for quantitative traits using the COGA dataset", 
    "pagination": "s96", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d7f2300c1cdb8e57b324d8350aa799d8b4295e29628be2e5e20bf9d4435b0582"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16451712"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100966978"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2156-6-s1-s96"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045334355"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2156-6-s1-s96", 
      "https://app.dimensions.ai/details/publication/pub.1045334355"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:45", 
    "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_8684_00000507.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2156-6-S1-S96"
  }
]
 

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.10.1186/1471-2156-6-s1-s96'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-6-s1-s96'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-6-s1-s96'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2156-6-s1-s96'


 

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

198 TRIPLES      21 PREDICATES      50 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2156-6-s1-s96 schema:about N1a7d38ebc91741d08b5775e1598c43bf
2 N5e7a8835fee3436aa4694347950db953
3 N6aabfccb145d47bfb283554c4ca0a363
4 N9501098e659e4d2d859821ab21ef273c
5 Na8b99ce3c96a404193a9cbcc009b62e7
6 Nb0a694387b894eb6b80fbf41ecd69e56
7 Nbbde47b7a0514edaa60cf4f4e0861bff
8 Ndfef4c1eb5824c31b1cc17dcfabd3258
9 Nf40d588cf73743f2aceed937eda48273
10 anzsrc-for:06
11 anzsrc-for:0604
12 schema:author Nf123dc828b904f938403edd0974b1715
13 schema:citation sg:pub.10.1038/35015718
14 sg:pub.10.1038/ng1582
15 sg:pub.10.1038/ng786
16 https://doi.org/10.1002/(sici)1096-8628(19980508)81:3<207::aid-ajmg1>3.0.co;2-t
17 https://doi.org/10.1002/1098-2272(2000)19:1+<::aid-gepi6>3.0.co;2-m
18 https://doi.org/10.1002/gepi.209
19 https://doi.org/10.1016/s0301-0511(02)00060-1
20 https://doi.org/10.1073/pnas.052716399
21 https://doi.org/10.1086/378591
22 https://doi.org/10.1086/381563
23 https://doi.org/10.1093/bioinformatics/bth457
24 https://doi.org/10.1159/000073728
25 schema:datePublished 2005-12
26 schema:datePublishedReg 2005-12-01
27 schema:description Genome scans using dense single-nucleotide polymorphism (SNP) data have recently become a reality. It is thought that the increase in information content for linkage analysis as a result of the denser scans will help refine previously identified linkage regions and possibly identify new regions not identifiable using the sparser, microsatellite scans. In the context of the dense SNP scans, it is also possible to consider association strategies to provide even more information about potential regions of interest. To circumvent the multiple-testing issues inherent in association analysis, we use a recently developed strategy, implemented in PBAT, which screens the data to identify the optimal SNPs for testing, without biasing the nominal significance level. We compare the results from the PBAT analysis to that of quantitative linkage analysis on chromosome 4 using the Collaborative Study on the Genetics of Alcoholism data, as released through Genetic Analysis Workshop 14.
28 schema:genre research_article
29 schema:inLanguage en
30 schema:isAccessibleForFree true
31 schema:isPartOf Ncee6b213f3934921ba1dc82da2fd645d
32 Nd6a20a75552d4924b636dec9571b8963
33 sg:journal.1024251
34 schema:name Comparison of linkage and association strategies for quantitative traits using the COGA dataset
35 schema:pagination s96
36 schema:productId N1fd1cf41df7e45aa8358d53a22fea529
37 N43a3e9e4d67a45e29494b95035ddf2dd
38 Nc050165d3b7a4f369a93ff9ce27eb386
39 Nce2a33209b354df7ae253571856a9d48
40 Ndec702b0ee764091a37e8c4b243cd20a
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045334355
42 https://doi.org/10.1186/1471-2156-6-s1-s96
43 schema:sdDatePublished 2019-04-10T20:45
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher N76f7f3c2aef14ce38490226fb61c0e00
46 schema:url http://link.springer.com/10.1186%2F1471-2156-6-S1-S96
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N09ac66cc99634e018e925cdb1a31a835 rdf:first sg:person.01320666741.12
51 rdf:rest rdf:nil
52 N1a7d38ebc91741d08b5775e1598c43bf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
53 schema:name Humans
54 rdf:type schema:DefinedTerm
55 N1fd1cf41df7e45aa8358d53a22fea529 schema:name nlm_unique_id
56 schema:value 100966978
57 rdf:type schema:PropertyValue
58 N2bc8234dffb6407485be62777f0b8f3d rdf:first sg:person.0766744011.63
59 rdf:rest N861bdc8f3cee4895a29e7cf95b779917
60 N32b409807437441884f90de2a2daf998 rdf:first sg:person.01262023142.55
61 rdf:rest N2bc8234dffb6407485be62777f0b8f3d
62 N43a3e9e4d67a45e29494b95035ddf2dd schema:name dimensions_id
63 schema:value pub.1045334355
64 rdf:type schema:PropertyValue
65 N5e7a8835fee3436aa4694347950db953 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Quantitative Trait, Heritable
67 rdf:type schema:DefinedTerm
68 N6aabfccb145d47bfb283554c4ca0a363 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Genetic Linkage
70 rdf:type schema:DefinedTerm
71 N76f7f3c2aef14ce38490226fb61c0e00 schema:name Springer Nature - SN SciGraph project
72 rdf:type schema:Organization
73 N7aa1af2f7f784e4b9f9f6727b3ac5521 rdf:first sg:person.01047505230.76
74 rdf:rest Nb53050c106174e14b1d2f2c2dbc6fbfb
75 N861bdc8f3cee4895a29e7cf95b779917 rdf:first sg:person.01205773172.25
76 rdf:rest Nd7083e67a8e448eea97d3942bad89e98
77 N9501098e659e4d2d859821ab21ef273c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Chromosomes, Human, Pair 4
79 rdf:type schema:DefinedTerm
80 Na8b99ce3c96a404193a9cbcc009b62e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Alcoholism
82 rdf:type schema:DefinedTerm
83 Nb0a694387b894eb6b80fbf41ecd69e56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Cooperative Behavior
85 rdf:type schema:DefinedTerm
86 Nb53050c106174e14b1d2f2c2dbc6fbfb rdf:first sg:person.01347664403.23
87 rdf:rest N32b409807437441884f90de2a2daf998
88 Nbbde47b7a0514edaa60cf4f4e0861bff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Databases, Genetic
90 rdf:type schema:DefinedTerm
91 Nc050165d3b7a4f369a93ff9ce27eb386 schema:name doi
92 schema:value 10.1186/1471-2156-6-s1-s96
93 rdf:type schema:PropertyValue
94 Nce2a33209b354df7ae253571856a9d48 schema:name pubmed_id
95 schema:value 16451712
96 rdf:type schema:PropertyValue
97 Ncee6b213f3934921ba1dc82da2fd645d schema:issueNumber Suppl 1
98 rdf:type schema:PublicationIssue
99 Nd6a20a75552d4924b636dec9571b8963 schema:volumeNumber 6
100 rdf:type schema:PublicationVolume
101 Nd7083e67a8e448eea97d3942bad89e98 rdf:first sg:person.01342332616.87
102 rdf:rest N09ac66cc99634e018e925cdb1a31a835
103 Ndec702b0ee764091a37e8c4b243cd20a schema:name readcube_id
104 schema:value d7f2300c1cdb8e57b324d8350aa799d8b4295e29628be2e5e20bf9d4435b0582
105 rdf:type schema:PropertyValue
106 Ndfef4c1eb5824c31b1cc17dcfabd3258 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Genetic Predisposition to Disease
108 rdf:type schema:DefinedTerm
109 Nf123dc828b904f938403edd0974b1715 rdf:first sg:person.013502425777.58
110 rdf:rest N7aa1af2f7f784e4b9f9f6727b3ac5521
111 Nf40d588cf73743f2aceed937eda48273 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Polymorphism, Single Nucleotide
113 rdf:type schema:DefinedTerm
114 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
115 schema:name Biological Sciences
116 rdf:type schema:DefinedTerm
117 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
118 schema:name Genetics
119 rdf:type schema:DefinedTerm
120 sg:grant.2528020 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2156-6-s1-s96
121 rdf:type schema:MonetaryGrant
122 sg:grant.2685195 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2156-6-s1-s96
123 rdf:type schema:MonetaryGrant
124 sg:journal.1024251 schema:issn 1471-2156
125 schema:name BMC Genetics
126 rdf:type schema:Periodical
127 sg:person.01047505230.76 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
128 schema:familyName Murphy
129 schema:givenName Amy
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047505230.76
131 rdf:type schema:Person
132 sg:person.01205773172.25 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
133 schema:familyName Laird
134 schema:givenName Nan M
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205773172.25
136 rdf:type schema:Person
137 sg:person.01262023142.55 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
138 schema:familyName Su
139 schema:givenName Jessica
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262023142.55
141 rdf:type schema:Person
142 sg:person.01320666741.12 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
143 schema:familyName Van Steen
144 schema:givenName Kristel
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320666741.12
146 rdf:type schema:Person
147 sg:person.01342332616.87 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
148 schema:familyName Lange
149 schema:givenName Christoph
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342332616.87
151 rdf:type schema:Person
152 sg:person.01347664403.23 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
153 schema:familyName Kraft
154 schema:givenName Peter
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347664403.23
156 rdf:type schema:Person
157 sg:person.013502425777.58 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
158 schema:familyName McQueen
159 schema:givenName Matthew B
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013502425777.58
161 rdf:type schema:Person
162 sg:person.0766744011.63 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
163 schema:familyName Lazarus
164 schema:givenName Ross
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766744011.63
166 rdf:type schema:Person
167 sg:pub.10.1038/35015718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051065086
168 https://doi.org/10.1038/35015718
169 rdf:type schema:CreativeWork
170 sg:pub.10.1038/ng1582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025472883
171 https://doi.org/10.1038/ng1582
172 rdf:type schema:CreativeWork
173 sg:pub.10.1038/ng786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041343500
174 https://doi.org/10.1038/ng786
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1002/(sici)1096-8628(19980508)81:3<207::aid-ajmg1>3.0.co;2-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1007537499
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1002/1098-2272(2000)19:1+<::aid-gepi6>3.0.co;2-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1032977743
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1002/gepi.209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029825845
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/s0301-0511(02)00060-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021129875
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1073/pnas.052716399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030019385
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1086/378591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058671624
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1086/381563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058673343
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1093/bioinformatics/bth457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008081196
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1159/000073728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014451174
193 rdf:type schema:CreativeWork
194 https://www.grid.ac/institutes/grid.38142.3c schema:alternateName Harvard University
195 schema:name Channing Laboratory, Harvard Medical School, 181 Longwood Avenue, 02115, Boston, MA, USA
196 Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA
197 Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA
198 rdf:type schema:Organization
 




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


...