Inter- and intrapopulation studies of ancient humans View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-06

AUTHORS

W. W. Hauswirth, C. D. Dickel, D. J. Rowold, M. A. Hauswirth

ABSTRACT

For a genetic analysis of ancient human populations to be useful, it must be demonstrated that the DNA samples under investigation represent a single human population. Toward that end, we have analyzed human DNA from the Windover site (7000-8000 BP). MHC-I analysis, using allele-specific oligonucleotide hybridization to PCR amplified Windover DNA, microsatellite analysis by PCR of the APO-A2 repeat and mtD-loop 3' region sequencing on multiple individuals spanning nearly the full range of estimated burial dates all confirm the hypothesis that there is a persistence of both nuclear and mitochondrial haplotypes at Windover throughout its entire period of use. Thus, Windover can be considered a single population. Neighbor-joining tree analysis of mtDNA sequences suggests that some mitochondrial types are clearly related to extant Amerind types, whereas others, more distantly related, may reflect genetically distinct origins. A more complete sequence analysis will be required to firmly resolve this issue. Calibrating genetic relationships deduced by tree analysis, radiocarbon dates and burial position, yields a human mtD-loop DNA rate of evolution of 3700 to 14,000 years per percent change. Both values are within the range of recent, independently calculated values using estimates of evolutionary divergence or theoretical population genetics. Thus we are beginning to realize the promise of ancient DNA analysis to experimentally answer heretofore unapproachable questions regarding human prehistory and genetic change. More... »

PAGES

585-591

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf01921729

DOI

http://dx.doi.org/10.1007/bf01921729

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040531682

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/8020619


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": "Alleles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Base Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Mitochondrial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fossils", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Histocompatibility Antigens Class I", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Indians, North American", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Molecular Sequence Data", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nucleic Acid Hybridization", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymerase Chain Reaction", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Immunology and Medical Microbiology, College of Medicine, University of Florida, 32610-0266, Gainesville, Florida, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hauswirth", 
        "givenName": "W. W.", 
        "id": "sg:person.01364761423.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364761423.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Immunology and Medical Microbiology, College of Medicine, University of Florida, 32610-0266, Gainesville, Florida, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dickel", 
        "givenName": "C. D.", 
        "id": "sg:person.01120012674.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120012674.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Immunology and Medical Microbiology, College of Medicine, University of Florida, 32610-0266, Gainesville, Florida, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rowold", 
        "givenName": "D. J.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florida", 
          "id": "https://www.grid.ac/institutes/grid.15276.37", 
          "name": [
            "Department of Immunology and Medical Microbiology, College of Medicine, University of Florida, 32610-0266, Gainesville, Florida, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hauswirth", 
        "givenName": "M. A.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/349785a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010972482", 
          "https://doi.org/10.1038/349785a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.90.22.10663", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012758402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/357326a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013058020", 
          "https://doi.org/10.1038/357326a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/339237a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021983684", 
          "https://doi.org/10.1038/339237a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/342485a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026831600", 
          "https://doi.org/10.1038/342485a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ajpa.1330680202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038128318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ajpa.1330680202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038128318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/357329a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043654349", 
          "https://doi.org/10.1038/357329a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/314644a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044179528", 
          "https://doi.org/10.1038/314644a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/323803a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046187240", 
          "https://doi.org/10.1038/323803a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.88.19.8720", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048821856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.89.13.5847", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052880912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075756922", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077198924", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077946433", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077983724", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079453119", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081668018", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a039987", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082463492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082466395", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082770634", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1994-06", 
    "datePublishedReg": "1994-06-01", 
    "description": "For a genetic analysis of ancient human populations to be useful, it must be demonstrated that the DNA samples under investigation represent a single human population. Toward that end, we have analyzed human DNA from the Windover site (7000-8000 BP). MHC-I analysis, using allele-specific oligonucleotide hybridization to PCR amplified Windover DNA, microsatellite analysis by PCR of the APO-A2 repeat and mtD-loop 3' region sequencing on multiple individuals spanning nearly the full range of estimated burial dates all confirm the hypothesis that there is a persistence of both nuclear and mitochondrial haplotypes at Windover throughout its entire period of use. Thus, Windover can be considered a single population. Neighbor-joining tree analysis of mtDNA sequences suggests that some mitochondrial types are clearly related to extant Amerind types, whereas others, more distantly related, may reflect genetically distinct origins. A more complete sequence analysis will be required to firmly resolve this issue. Calibrating genetic relationships deduced by tree analysis, radiocarbon dates and burial position, yields a human mtD-loop DNA rate of evolution of 3700 to 14,000 years per percent change. Both values are within the range of recent, independently calculated values using estimates of evolutionary divergence or theoretical population genetics. Thus we are beginning to realize the promise of ancient DNA analysis to experimentally answer heretofore unapproachable questions regarding human prehistory and genetic change.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf01921729", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1295005", 
        "issn": [
          "1420-682X", 
          "1420-9071"
        ], 
        "name": "Cellular and Molecular Life Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "50"
      }
    ], 
    "name": "Inter- and intrapopulation studies of ancient humans", 
    "pagination": "585-591", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c113b67c49a6ded6097f0051e1ab9d0b6880a3fc25b66089a4f9f017dff9a50e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "8020619"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0376547"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf01921729"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040531682"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf01921729", 
      "https://app.dimensions.ai/details/publication/pub.1040531682"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:08", 
    "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/v90/0000000353_0000000353/records_45335_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF01921729"
  }
]
 

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.10.1007/bf01921729'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf01921729'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf01921729'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf01921729'


 

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

195 TRIPLES      21 PREDICATES      61 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf01921729 schema:about N136f0cee3e7c4ebba9ec655afa782d0b
2 N51f494effbfc49578584f8840e3e036d
3 N77f35b7b4b5c4321bf3ae0033a08ba98
4 N89ac77787ad14f57a827199721b27d1c
5 N8a8176cdc89f48c9b17a159c8bf454ad
6 N962032e35b0a4716a85f620d38a889b4
7 Nb275cb5dad444926abe527356627066a
8 Nc7d1df65d8704a71a4d7ce8801692785
9 Nc8210ccf0d244b85970a6b80bf878518
10 Nd72ec3b41205471f9938424bd551fec3
11 Nf13ec14e982943d1b3446ccb946266f1
12 Nf2ad29610e314697b46a3177aba2e377
13 anzsrc-for:06
14 anzsrc-for:0604
15 schema:author N30a0d7fa8c8048c48018a9fe3702cee4
16 schema:citation sg:pub.10.1038/314644a0
17 sg:pub.10.1038/323803a0
18 sg:pub.10.1038/339237a0
19 sg:pub.10.1038/342485a0
20 sg:pub.10.1038/349785a0
21 sg:pub.10.1038/357326a0
22 sg:pub.10.1038/357329a0
23 https://app.dimensions.ai/details/publication/pub.1075756922
24 https://app.dimensions.ai/details/publication/pub.1077198924
25 https://app.dimensions.ai/details/publication/pub.1077946433
26 https://app.dimensions.ai/details/publication/pub.1077983724
27 https://app.dimensions.ai/details/publication/pub.1079453119
28 https://app.dimensions.ai/details/publication/pub.1081668018
29 https://app.dimensions.ai/details/publication/pub.1082466395
30 https://app.dimensions.ai/details/publication/pub.1082770634
31 https://doi.org/10.1002/ajpa.1330680202
32 https://doi.org/10.1073/pnas.88.19.8720
33 https://doi.org/10.1073/pnas.89.13.5847
34 https://doi.org/10.1073/pnas.90.22.10663
35 https://doi.org/10.1093/oxfordjournals.molbev.a039987
36 schema:datePublished 1994-06
37 schema:datePublishedReg 1994-06-01
38 schema:description For a genetic analysis of ancient human populations to be useful, it must be demonstrated that the DNA samples under investigation represent a single human population. Toward that end, we have analyzed human DNA from the Windover site (7000-8000 BP). MHC-I analysis, using allele-specific oligonucleotide hybridization to PCR amplified Windover DNA, microsatellite analysis by PCR of the APO-A2 repeat and mtD-loop 3' region sequencing on multiple individuals spanning nearly the full range of estimated burial dates all confirm the hypothesis that there is a persistence of both nuclear and mitochondrial haplotypes at Windover throughout its entire period of use. Thus, Windover can be considered a single population. Neighbor-joining tree analysis of mtDNA sequences suggests that some mitochondrial types are clearly related to extant Amerind types, whereas others, more distantly related, may reflect genetically distinct origins. A more complete sequence analysis will be required to firmly resolve this issue. Calibrating genetic relationships deduced by tree analysis, radiocarbon dates and burial position, yields a human mtD-loop DNA rate of evolution of 3700 to 14,000 years per percent change. Both values are within the range of recent, independently calculated values using estimates of evolutionary divergence or theoretical population genetics. Thus we are beginning to realize the promise of ancient DNA analysis to experimentally answer heretofore unapproachable questions regarding human prehistory and genetic change.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf Ncfce4c90de3040a69a8291407ab19c27
43 Nef11c655abd74a7c89d29954459f41cd
44 sg:journal.1295005
45 schema:name Inter- and intrapopulation studies of ancient humans
46 schema:pagination 585-591
47 schema:productId N0a93302d7e59452380b785aea3296e84
48 N430fce2b7e3d426d967377ec9fb0011f
49 N95bedbc405684a3bb1079001a170395b
50 Ncd076e07478940338566f2fdbad4902c
51 Nfa2291e404704053b2ca10d58f07cde6
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040531682
53 https://doi.org/10.1007/bf01921729
54 schema:sdDatePublished 2019-04-11T11:08
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N77cd83c1c0dc432d8b79c2f299630eec
57 schema:url http://link.springer.com/10.1007/BF01921729
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N0a93302d7e59452380b785aea3296e84 schema:name pubmed_id
62 schema:value 8020619
63 rdf:type schema:PropertyValue
64 N0c0e9a9ee8f94b2c8dfd3e156e3f0c0e rdf:first sg:person.01120012674.07
65 rdf:rest N2eef0d1b6893453bb16f8f9b29de8d18
66 N136f0cee3e7c4ebba9ec655afa782d0b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Base Sequence
68 rdf:type schema:DefinedTerm
69 N2eef0d1b6893453bb16f8f9b29de8d18 rdf:first N670466b6447747e0bf815a0a66648b12
70 rdf:rest N9fb751c3b2964885b86cf34768629dd8
71 N30a0d7fa8c8048c48018a9fe3702cee4 rdf:first sg:person.01364761423.22
72 rdf:rest N0c0e9a9ee8f94b2c8dfd3e156e3f0c0e
73 N38b91f72dc884084a2b8998af23c7cbd schema:affiliation https://www.grid.ac/institutes/grid.15276.37
74 schema:familyName Hauswirth
75 schema:givenName M. A.
76 rdf:type schema:Person
77 N430fce2b7e3d426d967377ec9fb0011f schema:name dimensions_id
78 schema:value pub.1040531682
79 rdf:type schema:PropertyValue
80 N51f494effbfc49578584f8840e3e036d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Polymerase Chain Reaction
82 rdf:type schema:DefinedTerm
83 N670466b6447747e0bf815a0a66648b12 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
84 schema:familyName Rowold
85 schema:givenName D. J.
86 rdf:type schema:Person
87 N77cd83c1c0dc432d8b79c2f299630eec schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 N77f35b7b4b5c4321bf3ae0033a08ba98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Molecular Sequence Data
91 rdf:type schema:DefinedTerm
92 N89ac77787ad14f57a827199721b27d1c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Brain Chemistry
94 rdf:type schema:DefinedTerm
95 N8a8176cdc89f48c9b17a159c8bf454ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Indians, North American
97 rdf:type schema:DefinedTerm
98 N95bedbc405684a3bb1079001a170395b schema:name doi
99 schema:value 10.1007/bf01921729
100 rdf:type schema:PropertyValue
101 N962032e35b0a4716a85f620d38a889b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name DNA, Mitochondrial
103 rdf:type schema:DefinedTerm
104 N9fb751c3b2964885b86cf34768629dd8 rdf:first N38b91f72dc884084a2b8998af23c7cbd
105 rdf:rest rdf:nil
106 Nb275cb5dad444926abe527356627066a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Nucleic Acid Hybridization
108 rdf:type schema:DefinedTerm
109 Nc7d1df65d8704a71a4d7ce8801692785 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name DNA
111 rdf:type schema:DefinedTerm
112 Nc8210ccf0d244b85970a6b80bf878518 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Fossils
114 rdf:type schema:DefinedTerm
115 Ncd076e07478940338566f2fdbad4902c schema:name nlm_unique_id
116 schema:value 0376547
117 rdf:type schema:PropertyValue
118 Ncfce4c90de3040a69a8291407ab19c27 schema:issueNumber 6
119 rdf:type schema:PublicationIssue
120 Nd72ec3b41205471f9938424bd551fec3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Histocompatibility Antigens Class I
122 rdf:type schema:DefinedTerm
123 Nef11c655abd74a7c89d29954459f41cd schema:volumeNumber 50
124 rdf:type schema:PublicationVolume
125 Nf13ec14e982943d1b3446ccb946266f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Humans
127 rdf:type schema:DefinedTerm
128 Nf2ad29610e314697b46a3177aba2e377 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Alleles
130 rdf:type schema:DefinedTerm
131 Nfa2291e404704053b2ca10d58f07cde6 schema:name readcube_id
132 schema:value c113b67c49a6ded6097f0051e1ab9d0b6880a3fc25b66089a4f9f017dff9a50e
133 rdf:type schema:PropertyValue
134 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
135 schema:name Biological Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
138 schema:name Genetics
139 rdf:type schema:DefinedTerm
140 sg:journal.1295005 schema:issn 1420-682X
141 1420-9071
142 schema:name Cellular and Molecular Life Sciences
143 rdf:type schema:Periodical
144 sg:person.01120012674.07 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
145 schema:familyName Dickel
146 schema:givenName C. D.
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120012674.07
148 rdf:type schema:Person
149 sg:person.01364761423.22 schema:affiliation https://www.grid.ac/institutes/grid.15276.37
150 schema:familyName Hauswirth
151 schema:givenName W. W.
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364761423.22
153 rdf:type schema:Person
154 sg:pub.10.1038/314644a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044179528
155 https://doi.org/10.1038/314644a0
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/323803a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046187240
158 https://doi.org/10.1038/323803a0
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/339237a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021983684
161 https://doi.org/10.1038/339237a0
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/342485a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026831600
164 https://doi.org/10.1038/342485a0
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/349785a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010972482
167 https://doi.org/10.1038/349785a0
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/357326a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013058020
170 https://doi.org/10.1038/357326a0
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/357329a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043654349
173 https://doi.org/10.1038/357329a0
174 rdf:type schema:CreativeWork
175 https://app.dimensions.ai/details/publication/pub.1075756922 schema:CreativeWork
176 https://app.dimensions.ai/details/publication/pub.1077198924 schema:CreativeWork
177 https://app.dimensions.ai/details/publication/pub.1077946433 schema:CreativeWork
178 https://app.dimensions.ai/details/publication/pub.1077983724 schema:CreativeWork
179 https://app.dimensions.ai/details/publication/pub.1079453119 schema:CreativeWork
180 https://app.dimensions.ai/details/publication/pub.1081668018 schema:CreativeWork
181 https://app.dimensions.ai/details/publication/pub.1082466395 schema:CreativeWork
182 https://app.dimensions.ai/details/publication/pub.1082770634 schema:CreativeWork
183 https://doi.org/10.1002/ajpa.1330680202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038128318
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1073/pnas.88.19.8720 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048821856
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1073/pnas.89.13.5847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052880912
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1073/pnas.90.22.10663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012758402
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1093/oxfordjournals.molbev.a039987 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082463492
192 rdf:type schema:CreativeWork
193 https://www.grid.ac/institutes/grid.15276.37 schema:alternateName University of Florida
194 schema:name Department of Immunology and Medical Microbiology, College of Medicine, University of Florida, 32610-0266, Gainesville, Florida, USA
195 rdf:type schema:Organization
 




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


...