Estimation, variance and optimal sampling of gene diversity II. Diploid locus View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1995-07

AUTHORS

O. Pons, K. Chaouche

ABSTRACT

Nei's analysis of diversity at a diploid locus is extended to a population subdivided into a large number of subpopulations. The diversities and the heterozygotes frequency are defined with respect to the total population and unbiasedly estimated in a two-stage random cluster sampling. The fixation indices F IS, F IT andF ST are derived, then inter- and intra-population variances of the estimated parameters are studied. We show that there is a unique sample size per population which yields the best accuracy in estimatingF ST and F IS, respectively, at a given locus. These results are illustrated with an analysis of DNA diversity in a forest tree and compared to those obtained under the Hardy-Weinberg assumption. More... »

PAGES

122-130

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00220868

DOI

http://dx.doi.org/10.1007/bf00220868

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006375477

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24169677


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Laboratoire de Biom\u00e9trie, Institut National de la Recherche Agronomique, 78352, Jouy-en-Josas cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pons", 
        "givenName": "O.", 
        "id": "sg:person.014426657133.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014426657133.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratoire de Biom\u00e9trie, Institut National de la Recherche Agronomique, 78352, Jouy-en-Josas cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chaouche", 
        "givenName": "K.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1469-1809.1949.tb02451.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025534180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-1809.1977.tb01918.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032446756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00221991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036887193", 
          "https://doi.org/10.1007/bf00221991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00221991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036887193", 
          "https://doi.org/10.1007/bf00221991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.70.12.3321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042233071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-1809.1983.tb00993.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043371256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1051/forest:19930724", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056968967", 
          "https://doi.org/10.1051/forest:19930724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077357050", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078861211", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080617744", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1995-07", 
    "datePublishedReg": "1995-07-01", 
    "description": "Nei's analysis of diversity at a diploid locus is extended to a population subdivided into a large number of subpopulations. The diversities and the heterozygotes frequency are defined with respect to the total population and unbiasedly estimated in a two-stage random cluster sampling. The fixation indices F IS, F IT andF ST are derived, then inter- and intra-population variances of the estimated parameters are studied. We show that there is a unique sample size per population which yields the best accuracy in estimatingF ST and F IS, respectively, at a given locus. These results are illustrated with an analysis of DNA diversity in a forest tree and compared to those obtained under the Hardy-Weinberg assumption. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00220868", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135804", 
        "issn": [
          "0040-5752", 
          "1432-2242"
        ], 
        "name": "Theoretical and Applied Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "91"
      }
    ], 
    "name": "Estimation, variance and optimal sampling of gene diversity II. Diploid locus", 
    "pagination": "122-130", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00220868"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1e5e1b5bae28627365d79d009960012fa2b84dfefeabc083abb7bc149a525eff"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006375477"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0145600"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24169677"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00220868", 
      "https://app.dimensions.ai/details/publication/pub.1006375477"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:02", 
    "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/v90/0000000375_0000000375/records_91456_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00220868"
  }
]
 

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/bf00220868'

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/bf00220868'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00220868'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00220868'


 

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

102 TRIPLES      21 PREDICATES      38 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00220868 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nc3d6ba108fac49c5a6999e59acea6198
4 schema:citation sg:pub.10.1007/bf00221991
5 sg:pub.10.1051/forest:19930724
6 https://app.dimensions.ai/details/publication/pub.1077357050
7 https://app.dimensions.ai/details/publication/pub.1078861211
8 https://app.dimensions.ai/details/publication/pub.1080617744
9 https://doi.org/10.1073/pnas.70.12.3321
10 https://doi.org/10.1111/j.1469-1809.1949.tb02451.x
11 https://doi.org/10.1111/j.1469-1809.1977.tb01918.x
12 https://doi.org/10.1111/j.1469-1809.1983.tb00993.x
13 schema:datePublished 1995-07
14 schema:datePublishedReg 1995-07-01
15 schema:description Nei's analysis of diversity at a diploid locus is extended to a population subdivided into a large number of subpopulations. The diversities and the heterozygotes frequency are defined with respect to the total population and unbiasedly estimated in a two-stage random cluster sampling. The fixation indices F IS, F IT andF ST are derived, then inter- and intra-population variances of the estimated parameters are studied. We show that there is a unique sample size per population which yields the best accuracy in estimatingF ST and F IS, respectively, at a given locus. These results are illustrated with an analysis of DNA diversity in a forest tree and compared to those obtained under the Hardy-Weinberg assumption.
16 schema:genre research_article
17 schema:inLanguage en
18 schema:isAccessibleForFree false
19 schema:isPartOf N1349b677afb34cd3a55994d68cb5f598
20 N5d03fb2cfe24492887cc5e4e11985699
21 sg:journal.1135804
22 schema:name Estimation, variance and optimal sampling of gene diversity II. Diploid locus
23 schema:pagination 122-130
24 schema:productId N154dc77231a64d5f9bdc2eea81d187ad
25 N6577a0344fa94bda8d1ba40478be0910
26 Na784e52d89314454b6f1e2f1337281e4
27 Nb2fd9e70ee474cee9b1f7839f5f09bef
28 Nce23d2bbc4a941cb862f250a20a5ac55
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006375477
30 https://doi.org/10.1007/bf00220868
31 schema:sdDatePublished 2019-04-15T09:02
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher Nfe71d44286884cccb192329575367d3c
34 schema:url http://link.springer.com/10.1007/BF00220868
35 sgo:license sg:explorer/license/
36 sgo:sdDataset articles
37 rdf:type schema:ScholarlyArticle
38 N04125a436e554eadacb4b7b29135997e rdf:first N99f56c2dcac14367a7ae74c789140ba3
39 rdf:rest rdf:nil
40 N1349b677afb34cd3a55994d68cb5f598 schema:issueNumber 1
41 rdf:type schema:PublicationIssue
42 N154dc77231a64d5f9bdc2eea81d187ad schema:name readcube_id
43 schema:value 1e5e1b5bae28627365d79d009960012fa2b84dfefeabc083abb7bc149a525eff
44 rdf:type schema:PropertyValue
45 N18437ab4fc1949a1a37556fac0a9daa6 schema:name Laboratoire de Biométrie, Institut National de la Recherche Agronomique, 78352, Jouy-en-Josas cedex, France
46 rdf:type schema:Organization
47 N5d03fb2cfe24492887cc5e4e11985699 schema:volumeNumber 91
48 rdf:type schema:PublicationVolume
49 N6577a0344fa94bda8d1ba40478be0910 schema:name nlm_unique_id
50 schema:value 0145600
51 rdf:type schema:PropertyValue
52 N72d5f4607d334ddf96735eb7cbd03917 schema:name Laboratoire de Biométrie, Institut National de la Recherche Agronomique, 78352, Jouy-en-Josas cedex, France
53 rdf:type schema:Organization
54 N99f56c2dcac14367a7ae74c789140ba3 schema:affiliation N18437ab4fc1949a1a37556fac0a9daa6
55 schema:familyName Chaouche
56 schema:givenName K.
57 rdf:type schema:Person
58 Na784e52d89314454b6f1e2f1337281e4 schema:name dimensions_id
59 schema:value pub.1006375477
60 rdf:type schema:PropertyValue
61 Nb2fd9e70ee474cee9b1f7839f5f09bef schema:name doi
62 schema:value 10.1007/bf00220868
63 rdf:type schema:PropertyValue
64 Nc3d6ba108fac49c5a6999e59acea6198 rdf:first sg:person.014426657133.08
65 rdf:rest N04125a436e554eadacb4b7b29135997e
66 Nce23d2bbc4a941cb862f250a20a5ac55 schema:name pubmed_id
67 schema:value 24169677
68 rdf:type schema:PropertyValue
69 Nfe71d44286884cccb192329575367d3c schema:name Springer Nature - SN SciGraph project
70 rdf:type schema:Organization
71 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
72 schema:name Biological Sciences
73 rdf:type schema:DefinedTerm
74 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
75 schema:name Genetics
76 rdf:type schema:DefinedTerm
77 sg:journal.1135804 schema:issn 0040-5752
78 1432-2242
79 schema:name Theoretical and Applied Genetics
80 rdf:type schema:Periodical
81 sg:person.014426657133.08 schema:affiliation N72d5f4607d334ddf96735eb7cbd03917
82 schema:familyName Pons
83 schema:givenName O.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014426657133.08
85 rdf:type schema:Person
86 sg:pub.10.1007/bf00221991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036887193
87 https://doi.org/10.1007/bf00221991
88 rdf:type schema:CreativeWork
89 sg:pub.10.1051/forest:19930724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056968967
90 https://doi.org/10.1051/forest:19930724
91 rdf:type schema:CreativeWork
92 https://app.dimensions.ai/details/publication/pub.1077357050 schema:CreativeWork
93 https://app.dimensions.ai/details/publication/pub.1078861211 schema:CreativeWork
94 https://app.dimensions.ai/details/publication/pub.1080617744 schema:CreativeWork
95 https://doi.org/10.1073/pnas.70.12.3321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042233071
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1111/j.1469-1809.1949.tb02451.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025534180
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1111/j.1469-1809.1977.tb01918.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032446756
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1111/j.1469-1809.1983.tb00993.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043371256
102 rdf:type schema:CreativeWork
 




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


...