The power of the classical twin study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1978-02

AUTHORS

N G Martin, L J Eaves, M J Kearsey, P Davies

ABSTRACT

A method based on the non-central chi-square distribution is developed for the calculation of sample sizes required to reject, with given probability, models of variation when they are “ wrong ”. The method is illustrated with reference to simple alternative models of variation in MZ and DZ twins reared together. Simulation of twin experiments finds the empirical power in good agreement with that predicted by the method. Tables are produced showing the sample sizes required for 95 per cent rejection at the 5 per cent level of inappropriate models of variation. For equivalent cases it is always found easier to reject an inappropriate simple genetical model of variation than an inappropriate simple environmental model. For several frequently encountered cases, more than 600 pairs of twins would be required to reject inappropriate alternative models. The optimum proportion of MZ and DZ twins in a sample will vary with the “true” model of variation but is most likely to be between two-thirds and one-half of DZ twin pairs. More... »

PAGES

hdy197810

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/hdy.1978.10

DOI

http://dx.doi.org/10.1038/hdy.1978.10

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011399033

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/272366


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Biological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pregnancy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Probability", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Twins", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "familyName": "Martin", 
        "givenName": "N G", 
        "type": "Person"
      }, 
      {
        "familyName": "Eaves", 
        "givenName": "L J", 
        "type": "Person"
      }, 
      {
        "familyName": "Kearsey", 
        "givenName": "M J", 
        "type": "Person"
      }, 
      {
        "familyName": "Davies", 
        "givenName": "P", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/hdy.1976.25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000754186", 
          "https://doi.org/10.1038/hdy.1976.25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1976.25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000754186", 
          "https://doi.org/10.1038/hdy.1976.25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1973.22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001035210", 
          "https://doi.org/10.1038/hdy.1973.22"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1973.22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001035210", 
          "https://doi.org/10.1038/hdy.1973.22"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1977.95", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001649853", 
          "https://doi.org/10.1038/hdy.1977.95"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1977.95", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001649853", 
          "https://doi.org/10.1038/hdy.1977.95"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1003585104", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4899-3404-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003585104", 
          "https://doi.org/10.1007/978-1-4899-3404-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4899-3404-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003585104", 
          "https://doi.org/10.1007/978-1-4899-3404-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2044-8317.1969.tb00426.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006620343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2044-8317.1970.tb00443.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006725445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2044-8317.1977.tb00722.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009744821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1975.14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011600621", 
          "https://doi.org/10.1038/hdy.1975.14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1975.14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011600621", 
          "https://doi.org/10.1038/hdy.1975.14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-1809.1975.tb00125.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013576630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1970.61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015241384", 
          "https://doi.org/10.1038/hdy.1970.61"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1970.61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015241384", 
          "https://doi.org/10.1038/hdy.1970.61"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/h0029135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016076574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/h0032182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027269653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01070218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030193160", 
          "https://doi.org/10.1007/bf01070218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01070218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030193160", 
          "https://doi.org/10.1007/bf01070218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/263314a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030892738", 
          "https://doi.org/10.1038/263314a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/h0076862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036926011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01067145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037916048", 
          "https://doi.org/10.1007/bf01067145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/240084a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047538492", 
          "https://doi.org/10.1038/240084a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1971.27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052450506", 
          "https://doi.org/10.1038/hdy.1971.27"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1971.27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052450506", 
          "https://doi.org/10.1038/hdy.1971.27"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021932000000493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053747952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.174.4016.1285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062504038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aoms/1177706453", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064401036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2406136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069915396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077356601", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01065758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080629861", 
          "https://doi.org/10.1007/bf01065758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1959.tb03043.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085732985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2344924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103089213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2344924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103089213"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1978-02", 
    "datePublishedReg": "1978-02-01", 
    "description": "A method based on the non-central chi-square distribution is developed for the calculation of sample sizes required to reject, with given probability, models of variation when they are \u201c wrong \u201d. The method is illustrated with reference to simple alternative models of variation in MZ and DZ twins reared together. Simulation of twin experiments finds the empirical power in good agreement with that predicted by the method. Tables are produced showing the sample sizes required for 95 per cent rejection at the 5 per cent level of inappropriate models of variation. For equivalent cases it is always found easier to reject an inappropriate simple genetical model of variation than an inappropriate simple environmental model. For several frequently encountered cases, more than 600 pairs of twins would be required to reject inappropriate alternative models. The optimum proportion of MZ and DZ twins in a sample will vary with the \u201ctrue\u201d model of variation but is most likely to be between two-thirds and one-half of DZ twin pairs.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/hdy.1978.10", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1017442", 
        "issn": [
          "0018-067X", 
          "1365-2540"
        ], 
        "name": "Heredity", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "40"
      }
    ], 
    "name": "The power of the classical twin study", 
    "pagination": "hdy197810", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "364f128ebf8e96dde1299636d36edfab8f3731101185d9b9ed51bdbb765ac326"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "272366"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0373007"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/hdy.1978.10"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011399033"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/hdy.1978.10", 
      "https://app.dimensions.ai/details/publication/pub.1011399033"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:11", 
    "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/v90/0000000361_0000000361/records_53984_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/hdy197810"
  }
]
 

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.10.1038/hdy.1978.10'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/hdy.1978.10'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/hdy.1978.10'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/hdy.1978.10'


 

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

202 TRIPLES      21 PREDICATES      64 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/hdy.1978.10 schema:about N5b8d4464961d48ae939a03c7b15af71a
2 N5f2786dd87034d5c8d9b900b421afc6f
3 N8dd4924a542e40faa0ee69469ae8b9d7
4 N8e4da784a3654080803571cb127bf2b7
5 Nb4897ebd26f643eeb11a49def951fea3
6 Nbedb572dd80742489edc888b9aed5aa0
7 Ndc2a025ebaf24a92ac6cd8c1c220da23
8 Ne7c45069ea764475b87d46e7f388a8ea
9 anzsrc-for:01
10 anzsrc-for:0104
11 schema:author Nfb0b7bc009814575bb95bf24358ebaad
12 schema:citation sg:pub.10.1007/978-1-4899-3404-8
13 sg:pub.10.1007/bf01065758
14 sg:pub.10.1007/bf01067145
15 sg:pub.10.1007/bf01070218
16 sg:pub.10.1038/240084a0
17 sg:pub.10.1038/263314a0
18 sg:pub.10.1038/hdy.1970.61
19 sg:pub.10.1038/hdy.1971.27
20 sg:pub.10.1038/hdy.1973.22
21 sg:pub.10.1038/hdy.1975.14
22 sg:pub.10.1038/hdy.1976.25
23 sg:pub.10.1038/hdy.1977.95
24 https://app.dimensions.ai/details/publication/pub.1003585104
25 https://app.dimensions.ai/details/publication/pub.1077356601
26 https://doi.org/10.1017/s0021932000000493
27 https://doi.org/10.1037/h0029135
28 https://doi.org/10.1037/h0032182
29 https://doi.org/10.1037/h0076862
30 https://doi.org/10.1111/j.1469-1809.1975.tb00125.x
31 https://doi.org/10.1111/j.1558-5646.1959.tb03043.x
32 https://doi.org/10.1111/j.2044-8317.1969.tb00426.x
33 https://doi.org/10.1111/j.2044-8317.1970.tb00443.x
34 https://doi.org/10.1111/j.2044-8317.1977.tb00722.x
35 https://doi.org/10.1126/science.174.4016.1285
36 https://doi.org/10.1214/aoms/1177706453
37 https://doi.org/10.2307/2344924
38 https://doi.org/10.2307/2406136
39 schema:datePublished 1978-02
40 schema:datePublishedReg 1978-02-01
41 schema:description A method based on the non-central chi-square distribution is developed for the calculation of sample sizes required to reject, with given probability, models of variation when they are “ wrong ”. The method is illustrated with reference to simple alternative models of variation in MZ and DZ twins reared together. Simulation of twin experiments finds the empirical power in good agreement with that predicted by the method. Tables are produced showing the sample sizes required for 95 per cent rejection at the 5 per cent level of inappropriate models of variation. For equivalent cases it is always found easier to reject an inappropriate simple genetical model of variation than an inappropriate simple environmental model. For several frequently encountered cases, more than 600 pairs of twins would be required to reject inappropriate alternative models. The optimum proportion of MZ and DZ twins in a sample will vary with the “true” model of variation but is most likely to be between two-thirds and one-half of DZ twin pairs.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree true
45 schema:isPartOf N9f44ee11a3b245b0a5db5a3c0d225134
46 Nd0e382bebd564a1990db6e43859080ae
47 sg:journal.1017442
48 schema:name The power of the classical twin study
49 schema:pagination hdy197810
50 schema:productId N507d78aad2a34576aff646d238ff6809
51 N79a66d59885345909fa95513c060f8f7
52 N9eaada9cd55148a79a5665681cfde497
53 Ne96f8235851c4e4e86aac7f4580836c9
54 Nfd16cd896a41425a89d1ec906ed88c1e
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011399033
56 https://doi.org/10.1038/hdy.1978.10
57 schema:sdDatePublished 2019-04-11T12:11
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher Nfd4428dfa77b4811bd2e4215f5f871e0
60 schema:url http://www.nature.com/articles/hdy197810
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N072a3590efd740ad987b33ccf930365a rdf:first Ndc587f4fde0c4cb38abcdc4969f54645
65 rdf:rest rdf:nil
66 N2b5c1e89f04d455bb568473d37b24cff rdf:first N6902c4ca10134797ae67f7a65e5356f7
67 rdf:rest N072a3590efd740ad987b33ccf930365a
68 N507d78aad2a34576aff646d238ff6809 schema:name nlm_unique_id
69 schema:value 0373007
70 rdf:type schema:PropertyValue
71 N5b8d4464961d48ae939a03c7b15af71a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Probability
73 rdf:type schema:DefinedTerm
74 N5f2786dd87034d5c8d9b900b421afc6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Models, Biological
76 rdf:type schema:DefinedTerm
77 N6902c4ca10134797ae67f7a65e5356f7 schema:familyName Kearsey
78 schema:givenName M J
79 rdf:type schema:Person
80 N79a66d59885345909fa95513c060f8f7 schema:name pubmed_id
81 schema:value 272366
82 rdf:type schema:PropertyValue
83 N80f715e588af49e2a01503cdcfeb4cc3 schema:familyName Martin
84 schema:givenName N G
85 rdf:type schema:Person
86 N8dd4924a542e40faa0ee69469ae8b9d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Humans
88 rdf:type schema:DefinedTerm
89 N8e4da784a3654080803571cb127bf2b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Female
91 rdf:type schema:DefinedTerm
92 N99c7a49ccda341429bb94e60eb458f5b rdf:first Ne19fac9d4a1a47d39fe5d85dee48f731
93 rdf:rest N2b5c1e89f04d455bb568473d37b24cff
94 N9eaada9cd55148a79a5665681cfde497 schema:name dimensions_id
95 schema:value pub.1011399033
96 rdf:type schema:PropertyValue
97 N9f44ee11a3b245b0a5db5a3c0d225134 schema:issueNumber 1
98 rdf:type schema:PublicationIssue
99 Nb4897ebd26f643eeb11a49def951fea3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Genetic Variation
101 rdf:type schema:DefinedTerm
102 Nbedb572dd80742489edc888b9aed5aa0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Pregnancy
104 rdf:type schema:DefinedTerm
105 Nd0e382bebd564a1990db6e43859080ae schema:volumeNumber 40
106 rdf:type schema:PublicationVolume
107 Ndc2a025ebaf24a92ac6cd8c1c220da23 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Mathematics
109 rdf:type schema:DefinedTerm
110 Ndc587f4fde0c4cb38abcdc4969f54645 schema:familyName Davies
111 schema:givenName P
112 rdf:type schema:Person
113 Ne19fac9d4a1a47d39fe5d85dee48f731 schema:familyName Eaves
114 schema:givenName L J
115 rdf:type schema:Person
116 Ne7c45069ea764475b87d46e7f388a8ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Twins
118 rdf:type schema:DefinedTerm
119 Ne96f8235851c4e4e86aac7f4580836c9 schema:name doi
120 schema:value 10.1038/hdy.1978.10
121 rdf:type schema:PropertyValue
122 Nfb0b7bc009814575bb95bf24358ebaad rdf:first N80f715e588af49e2a01503cdcfeb4cc3
123 rdf:rest N99c7a49ccda341429bb94e60eb458f5b
124 Nfd16cd896a41425a89d1ec906ed88c1e schema:name readcube_id
125 schema:value 364f128ebf8e96dde1299636d36edfab8f3731101185d9b9ed51bdbb765ac326
126 rdf:type schema:PropertyValue
127 Nfd4428dfa77b4811bd2e4215f5f871e0 schema:name Springer Nature - SN SciGraph project
128 rdf:type schema:Organization
129 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
130 schema:name Mathematical Sciences
131 rdf:type schema:DefinedTerm
132 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
133 schema:name Statistics
134 rdf:type schema:DefinedTerm
135 sg:journal.1017442 schema:issn 0018-067X
136 1365-2540
137 schema:name Heredity
138 rdf:type schema:Periodical
139 sg:pub.10.1007/978-1-4899-3404-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003585104
140 https://doi.org/10.1007/978-1-4899-3404-8
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/bf01065758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080629861
143 https://doi.org/10.1007/bf01065758
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/bf01067145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037916048
146 https://doi.org/10.1007/bf01067145
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/bf01070218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030193160
149 https://doi.org/10.1007/bf01070218
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/240084a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047538492
152 https://doi.org/10.1038/240084a0
153 rdf:type schema:CreativeWork
154 sg:pub.10.1038/263314a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030892738
155 https://doi.org/10.1038/263314a0
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/hdy.1970.61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015241384
158 https://doi.org/10.1038/hdy.1970.61
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/hdy.1971.27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052450506
161 https://doi.org/10.1038/hdy.1971.27
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/hdy.1973.22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001035210
164 https://doi.org/10.1038/hdy.1973.22
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/hdy.1975.14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011600621
167 https://doi.org/10.1038/hdy.1975.14
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/hdy.1976.25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000754186
170 https://doi.org/10.1038/hdy.1976.25
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/hdy.1977.95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001649853
173 https://doi.org/10.1038/hdy.1977.95
174 rdf:type schema:CreativeWork
175 https://app.dimensions.ai/details/publication/pub.1003585104 schema:CreativeWork
176 https://app.dimensions.ai/details/publication/pub.1077356601 schema:CreativeWork
177 https://doi.org/10.1017/s0021932000000493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053747952
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1037/h0029135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016076574
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1037/h0032182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027269653
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1037/h0076862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036926011
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1111/j.1469-1809.1975.tb00125.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013576630
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1111/j.1558-5646.1959.tb03043.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085732985
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1111/j.2044-8317.1969.tb00426.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006620343
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1111/j.2044-8317.1970.tb00443.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006725445
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1111/j.2044-8317.1977.tb00722.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009744821
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1126/science.174.4016.1285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062504038
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1214/aoms/1177706453 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064401036
198 rdf:type schema:CreativeWork
199 https://doi.org/10.2307/2344924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103089213
200 rdf:type schema:CreativeWork
201 https://doi.org/10.2307/2406136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069915396
202 rdf:type schema:CreativeWork
 




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


...