Admixture mapping: from paradigms of race and ethnicity to population history View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Sarah E. Ali-Khan, Abdallah S. Daar

ABSTRACT

Admixture mapping is a whole genome association strategy that takes advantage of population history-or genetic ancestry-to map genes for complex diseases. However, because it uses racial/ethnic groupings to examine differential disease risk, admixture mapping raises ethical and social concerns. While there has been much theoretical commentary regarding the ethical and social implications of population-based genetic research, empirical data from stakeholders most closely involved with these studies is limited. One of the first admixture mapping studies carried out was a scan for Multiple Sclerosis (MS) risk factors in an African-American population. Applying qualitative research methods, we used this example to explore developing views, experiences and perceptions of the ethical and social implications of admixture mapping and other population-based research-their value, risks and benefits, and the future prospects of the field. Additionally, we sought to understand how social and ethical risks might be mitigated, and the benefits of this research optimized. We draw on in-depth, one-on-one interviews with leading population geneticists, genome scientists, bioethicists, and African-Americans with MS. Here we present our findings from this unique group of key informants and stakeholders. More... »

PAGES

23-34

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11568-010-9145-y

DOI

http://dx.doi.org/10.1007/s11568-010-9145-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040448628

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21472046


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Toronto", 
          "id": "https://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "McLaughlin-Rotman Centre for Global Health, University Health Network and University of Toronto, Toronto, ON M5G 1L7 Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ali-Khan", 
        "givenName": "Sarah E.", 
        "id": "sg:person.01004665366.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004665366.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Toronto", 
          "id": "https://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "McLaughlin-Rotman Centre for Global Health, University Health Network and University of Toronto, Toronto, ON M5G 1L7 Canada", 
            "Departments of Public Health Sciences and of Surgery, University of Toronto, Toronto, ON M5S 1A8 Canada", 
            "Grand Challenges Canada, http://www.grandchallenges.ca"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Daar", 
        "givenName": "Abdallah S.", 
        "id": "sg:person.0610310666.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610310666.78"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/ana.10788", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003007185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003192964", 
          "https://doi.org/10.1038/nrg2379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005519278", 
          "https://doi.org/10.1038/nature07331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/ddn263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005639542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1078311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005962126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1191/1478088706qp063oa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006039333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.232", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008005765", 
          "https://doi.org/10.1038/ng.232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2008.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008512762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gm8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008735851", 
          "https://doi.org/10.1186/gm8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012092299", 
          "https://doi.org/10.1038/nrg1657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012092299", 
          "https://doi.org/10.1038/nrg1657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012092299", 
          "https://doi.org/10.1038/nrg1657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09505430601180847", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012475461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/gim.0b013e318164e4cf", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013512021", 
          "https://doi.org/10.1097/gim.0b013e318164e4cf"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/gim.0b013e318164e4cf", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013512021", 
          "https://doi.org/10.1097/gim.0b013e318164e4cf"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/gim.0b013e318164e4cf", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013512021", 
          "https://doi.org/10.1097/gim.0b013e318164e4cf"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013543818", 
          "https://doi.org/10.1038/ng1090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013543818", 
          "https://doi.org/10.1038/ng1090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-5809(75)90029-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015627206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018764933", 
          "https://doi.org/10.1038/nrg2201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/ddq040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019397851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020866447", 
          "https://doi.org/10.1038/ng1510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020866447", 
          "https://doi.org/10.1038/ng1510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022042808", 
          "https://doi.org/10.1038/ng.226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1559", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022315747", 
          "https://doi.org/10.1038/nrg1559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1559", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022315747", 
          "https://doi.org/10.1038/nrg1559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1646", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030469947", 
          "https://doi.org/10.1038/ng1646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1646", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030469947", 
          "https://doi.org/10.1038/ng1646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1646", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030469947", 
          "https://doi.org/10.1038/ng1646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmsb025007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031678314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1377/hlthaff.w5.455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032686037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033654326", 
          "https://doi.org/10.1038/nature02168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033654326", 
          "https://doi.org/10.1038/nature02168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(08)61052-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037951554"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archneurol.2008.541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038073666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmsb022863", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038090685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/461726a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038658216", 
          "https://doi.org/10.1038/461726a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/461726a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038658216", 
          "https://doi.org/10.1038/461726a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/10.20.2199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038983773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041739706", 
          "https://doi.org/10.1038/nbt.1596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041739706", 
          "https://doi.org/10.1038/nbt.1596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pmed.0040271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043568613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pmed.0040287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043780065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.289.20.2709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050017780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0605832103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051838496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1525822x02239569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051967107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1525822x02239569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051967107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0065-2660(07)00419-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053227519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.85.23.9119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053426991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1017/s1745855206003036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054943909", 
          "https://doi.org/10.1017/s1745855206003036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/323922", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058624330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/339368", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058638204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/420855", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058711795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/518564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058791825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1110303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062452030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1153717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062457378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.322.5903.839a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062600086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.02110s2145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064737760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.2005.083014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068843267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.87.11.1773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068876107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/187569209790112300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069238327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075261724", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075488644", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082576388", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083025076", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "Admixture mapping is a whole genome association strategy that takes advantage of population history-or genetic ancestry-to map genes for complex diseases. However, because it uses racial/ethnic groupings to examine differential disease risk, admixture mapping raises ethical and social concerns. While there has been much theoretical commentary regarding the ethical and social implications of population-based genetic research, empirical data from stakeholders most closely involved with these studies is limited. One of the first admixture mapping studies carried out was a scan for Multiple Sclerosis (MS) risk factors in an African-American population. Applying qualitative research methods, we used this example to explore developing views, experiences and perceptions of the ethical and social implications of admixture mapping and other population-based research-their value, risks and benefits, and the future prospects of the field. Additionally, we sought to understand how social and ethical risks might be mitigated, and the benefits of this research optimized. We draw on in-depth, one-on-one interviews with leading population geneticists, genome scientists, bioethicists, and African-Americans with MS. Here we present our findings from this unique group of key informants and stakeholders.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11568-010-9145-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1038392", 
        "issn": [
          "1877-6558", 
          "1877-6566"
        ], 
        "name": "The HUGO Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "Admixture mapping: from paradigms of race and ethnicity to population history", 
    "pagination": "23-34", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c0ae1d5452faedc0eebbab600b19820116cabc86f0646eca3ecfab623049b929"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21472046"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101530565"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11568-010-9145-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040448628"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11568-010-9145-y", 
      "https://app.dimensions.ai/details/publication/pub.1040448628"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:52", 
    "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_00000547.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3051047/"
  }
]
 

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/s11568-010-9145-y'

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/s11568-010-9145-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11568-010-9145-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11568-010-9145-y'


 

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

246 TRIPLES      21 PREDICATES      81 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11568-010-9145-y schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Necb2718cc17546eba3eab5059fc0753b
4 schema:citation sg:pub.10.1017/s1745855206003036
5 sg:pub.10.1038/461726a
6 sg:pub.10.1038/nature02168
7 sg:pub.10.1038/nature07331
8 sg:pub.10.1038/nbt.1596
9 sg:pub.10.1038/ng.226
10 sg:pub.10.1038/ng.232
11 sg:pub.10.1038/ng1090
12 sg:pub.10.1038/ng1510
13 sg:pub.10.1038/ng1646
14 sg:pub.10.1038/nrg1559
15 sg:pub.10.1038/nrg1657
16 sg:pub.10.1038/nrg2201
17 sg:pub.10.1038/nrg2379
18 sg:pub.10.1097/gim.0b013e318164e4cf
19 sg:pub.10.1186/gm8
20 https://app.dimensions.ai/details/publication/pub.1075261724
21 https://app.dimensions.ai/details/publication/pub.1075488644
22 https://app.dimensions.ai/details/publication/pub.1082576388
23 https://app.dimensions.ai/details/publication/pub.1083025076
24 https://doi.org/10.1001/archneurol.2008.541
25 https://doi.org/10.1001/jama.289.20.2709
26 https://doi.org/10.1002/ana.10788
27 https://doi.org/10.1016/0040-5809(75)90029-5
28 https://doi.org/10.1016/j.ajhg.2008.08.001
29 https://doi.org/10.1016/s0065-2660(07)00419-1
30 https://doi.org/10.1016/s0140-6736(08)61052-1
31 https://doi.org/10.1056/nejmsb022863
32 https://doi.org/10.1056/nejmsb025007
33 https://doi.org/10.1073/pnas.0605832103
34 https://doi.org/10.1073/pnas.85.23.9119
35 https://doi.org/10.1080/09505430601180847
36 https://doi.org/10.1086/323922
37 https://doi.org/10.1086/339368
38 https://doi.org/10.1086/420855
39 https://doi.org/10.1086/518564
40 https://doi.org/10.1093/hmg/10.20.2199
41 https://doi.org/10.1093/hmg/ddn263
42 https://doi.org/10.1093/hmg/ddq040
43 https://doi.org/10.1126/science.1078311
44 https://doi.org/10.1126/science.1110303
45 https://doi.org/10.1126/science.1153717
46 https://doi.org/10.1126/science.322.5903.839a
47 https://doi.org/10.1177/1525822x02239569
48 https://doi.org/10.1191/1478088706qp063oa
49 https://doi.org/10.1289/ehp.02110s2145
50 https://doi.org/10.1371/journal.pmed.0040271
51 https://doi.org/10.1371/journal.pmed.0040287
52 https://doi.org/10.1377/hlthaff.w5.455
53 https://doi.org/10.2105/ajph.2005.083014
54 https://doi.org/10.2105/ajph.87.11.1773
55 https://doi.org/10.2174/187569209790112300
56 schema:datePublished 2010-12
57 schema:datePublishedReg 2010-12-01
58 schema:description Admixture mapping is a whole genome association strategy that takes advantage of population history-or genetic ancestry-to map genes for complex diseases. However, because it uses racial/ethnic groupings to examine differential disease risk, admixture mapping raises ethical and social concerns. While there has been much theoretical commentary regarding the ethical and social implications of population-based genetic research, empirical data from stakeholders most closely involved with these studies is limited. One of the first admixture mapping studies carried out was a scan for Multiple Sclerosis (MS) risk factors in an African-American population. Applying qualitative research methods, we used this example to explore developing views, experiences and perceptions of the ethical and social implications of admixture mapping and other population-based research-their value, risks and benefits, and the future prospects of the field. Additionally, we sought to understand how social and ethical risks might be mitigated, and the benefits of this research optimized. We draw on in-depth, one-on-one interviews with leading population geneticists, genome scientists, bioethicists, and African-Americans with MS. Here we present our findings from this unique group of key informants and stakeholders.
59 schema:genre research_article
60 schema:inLanguage en
61 schema:isAccessibleForFree true
62 schema:isPartOf N4715b04d1896470dbb2b42832f941f2a
63 Nda9c735bbb8e4f39850c27b86838bcf9
64 sg:journal.1038392
65 schema:name Admixture mapping: from paradigms of race and ethnicity to population history
66 schema:pagination 23-34
67 schema:productId N13df15a23aad4c3cba1b7ea0e55cb49d
68 N46c581489bde4ae0a50473a2abad0ad3
69 Nd35a988ec7e246b9b1bd7e4adf657358
70 Ne14f95d9718741caaa24cdebf25f5ba6
71 Nfce1fac2a5a140f5a45075d54df098a7
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040448628
73 https://doi.org/10.1007/s11568-010-9145-y
74 schema:sdDatePublished 2019-04-10T20:52
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher Nfae815ccb7ec4aceaa0ddf3b2d6af662
77 schema:url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3051047/
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N13df15a23aad4c3cba1b7ea0e55cb49d schema:name pubmed_id
82 schema:value 21472046
83 rdf:type schema:PropertyValue
84 N46c581489bde4ae0a50473a2abad0ad3 schema:name dimensions_id
85 schema:value pub.1040448628
86 rdf:type schema:PropertyValue
87 N4715b04d1896470dbb2b42832f941f2a schema:volumeNumber 4
88 rdf:type schema:PublicationVolume
89 N4dc304bf22b84f719bfb530445335305 rdf:first sg:person.0610310666.78
90 rdf:rest rdf:nil
91 Nd35a988ec7e246b9b1bd7e4adf657358 schema:name doi
92 schema:value 10.1007/s11568-010-9145-y
93 rdf:type schema:PropertyValue
94 Nda9c735bbb8e4f39850c27b86838bcf9 schema:issueNumber 1-4
95 rdf:type schema:PublicationIssue
96 Ne14f95d9718741caaa24cdebf25f5ba6 schema:name readcube_id
97 schema:value c0ae1d5452faedc0eebbab600b19820116cabc86f0646eca3ecfab623049b929
98 rdf:type schema:PropertyValue
99 Necb2718cc17546eba3eab5059fc0753b rdf:first sg:person.01004665366.32
100 rdf:rest N4dc304bf22b84f719bfb530445335305
101 Nfae815ccb7ec4aceaa0ddf3b2d6af662 schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 Nfce1fac2a5a140f5a45075d54df098a7 schema:name nlm_unique_id
104 schema:value 101530565
105 rdf:type schema:PropertyValue
106 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
107 schema:name Medical and Health Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
110 schema:name Public Health and Health Services
111 rdf:type schema:DefinedTerm
112 sg:journal.1038392 schema:issn 1877-6558
113 1877-6566
114 schema:name The HUGO Journal
115 rdf:type schema:Periodical
116 sg:person.01004665366.32 schema:affiliation https://www.grid.ac/institutes/grid.17063.33
117 schema:familyName Ali-Khan
118 schema:givenName Sarah E.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004665366.32
120 rdf:type schema:Person
121 sg:person.0610310666.78 schema:affiliation https://www.grid.ac/institutes/grid.17063.33
122 schema:familyName Daar
123 schema:givenName Abdallah S.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610310666.78
125 rdf:type schema:Person
126 sg:pub.10.1017/s1745855206003036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054943909
127 https://doi.org/10.1017/s1745855206003036
128 rdf:type schema:CreativeWork
129 sg:pub.10.1038/461726a schema:sameAs https://app.dimensions.ai/details/publication/pub.1038658216
130 https://doi.org/10.1038/461726a
131 rdf:type schema:CreativeWork
132 sg:pub.10.1038/nature02168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033654326
133 https://doi.org/10.1038/nature02168
134 rdf:type schema:CreativeWork
135 sg:pub.10.1038/nature07331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005519278
136 https://doi.org/10.1038/nature07331
137 rdf:type schema:CreativeWork
138 sg:pub.10.1038/nbt.1596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041739706
139 https://doi.org/10.1038/nbt.1596
140 rdf:type schema:CreativeWork
141 sg:pub.10.1038/ng.226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022042808
142 https://doi.org/10.1038/ng.226
143 rdf:type schema:CreativeWork
144 sg:pub.10.1038/ng.232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008005765
145 https://doi.org/10.1038/ng.232
146 rdf:type schema:CreativeWork
147 sg:pub.10.1038/ng1090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013543818
148 https://doi.org/10.1038/ng1090
149 rdf:type schema:CreativeWork
150 sg:pub.10.1038/ng1510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020866447
151 https://doi.org/10.1038/ng1510
152 rdf:type schema:CreativeWork
153 sg:pub.10.1038/ng1646 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030469947
154 https://doi.org/10.1038/ng1646
155 rdf:type schema:CreativeWork
156 sg:pub.10.1038/nrg1559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022315747
157 https://doi.org/10.1038/nrg1559
158 rdf:type schema:CreativeWork
159 sg:pub.10.1038/nrg1657 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012092299
160 https://doi.org/10.1038/nrg1657
161 rdf:type schema:CreativeWork
162 sg:pub.10.1038/nrg2201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018764933
163 https://doi.org/10.1038/nrg2201
164 rdf:type schema:CreativeWork
165 sg:pub.10.1038/nrg2379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003192964
166 https://doi.org/10.1038/nrg2379
167 rdf:type schema:CreativeWork
168 sg:pub.10.1097/gim.0b013e318164e4cf schema:sameAs https://app.dimensions.ai/details/publication/pub.1013512021
169 https://doi.org/10.1097/gim.0b013e318164e4cf
170 rdf:type schema:CreativeWork
171 sg:pub.10.1186/gm8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008735851
172 https://doi.org/10.1186/gm8
173 rdf:type schema:CreativeWork
174 https://app.dimensions.ai/details/publication/pub.1075261724 schema:CreativeWork
175 https://app.dimensions.ai/details/publication/pub.1075488644 schema:CreativeWork
176 https://app.dimensions.ai/details/publication/pub.1082576388 schema:CreativeWork
177 https://app.dimensions.ai/details/publication/pub.1083025076 schema:CreativeWork
178 https://doi.org/10.1001/archneurol.2008.541 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038073666
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1001/jama.289.20.2709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050017780
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1002/ana.10788 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003007185
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/0040-5809(75)90029-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015627206
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.ajhg.2008.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008512762
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/s0065-2660(07)00419-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053227519
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/s0140-6736(08)61052-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037951554
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1056/nejmsb022863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038090685
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1056/nejmsb025007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031678314
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1073/pnas.0605832103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051838496
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1073/pnas.85.23.9119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053426991
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1080/09505430601180847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012475461
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1086/323922 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058624330
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1086/339368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058638204
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1086/420855 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058711795
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1086/518564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058791825
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1093/hmg/10.20.2199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038983773
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1093/hmg/ddn263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005639542
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1093/hmg/ddq040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019397851
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1126/science.1078311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005962126
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1126/science.1110303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062452030
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1126/science.1153717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062457378
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1126/science.322.5903.839a schema:sameAs https://app.dimensions.ai/details/publication/pub.1062600086
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1177/1525822x02239569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051967107
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1191/1478088706qp063oa schema:sameAs https://app.dimensions.ai/details/publication/pub.1006039333
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1289/ehp.02110s2145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064737760
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1371/journal.pmed.0040271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043568613
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1371/journal.pmed.0040287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043780065
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1377/hlthaff.w5.455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032686037
235 rdf:type schema:CreativeWork
236 https://doi.org/10.2105/ajph.2005.083014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068843267
237 rdf:type schema:CreativeWork
238 https://doi.org/10.2105/ajph.87.11.1773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068876107
239 rdf:type schema:CreativeWork
240 https://doi.org/10.2174/187569209790112300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069238327
241 rdf:type schema:CreativeWork
242 https://www.grid.ac/institutes/grid.17063.33 schema:alternateName University of Toronto
243 schema:name Departments of Public Health Sciences and of Surgery, University of Toronto, Toronto, ON M5S 1A8 Canada
244 Grand Challenges Canada, http://www.grandchallenges.ca
245 McLaughlin-Rotman Centre for Global Health, University Health Network and University of Toronto, Toronto, ON M5G 1L7 Canada
246 rdf:type schema:Organization
 




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


...