Genetic landscape of the people of India: a canvas for disease gene exploration View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-04

AUTHORS

Indian Genome Variation Consortium

ABSTRACT

Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (>10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations. More... »

PAGES

3-20

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12041-008-0002-x

DOI

http://dx.doi.org/10.1007/s12041-008-0002-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034600932

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18560169


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": "Chromosomes, Human, Pair 22", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ethnic Groups", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetics, Population", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "HIV Infections", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Haplotypes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "India", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Methylenetetrahydrofolate Reductase (NADPH2)", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, CCR5", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "familyName": "Indian Genome Variation Consortium", 
        "id": "sg:person.013044276523.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013044276523.28"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1530-0277.2006.00258.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000910033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.98.2.585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003270956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/mgme.1998.2714", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003487331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-005-0009-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005371072", 
          "https://doi.org/10.1007/s00439-005-0009-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-005-0009-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005371072", 
          "https://doi.org/10.1007/s00439-005-0009-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-005-0009-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005371072", 
          "https://doi.org/10.1007/s00439-005-0009-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0198-8859(80)90105-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007702038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0198-8859(80)90105-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007702038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.0020215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010472226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.97.19.10483", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012655959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1405", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017977333", 
          "https://doi.org/10.1038/nrg1405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1405", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017977333", 
          "https://doi.org/10.1038/nrg1405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0507714103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019817939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2156-7-28", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019971439", 
          "https://doi.org/10.1186/1471-2156-7-28"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1096-8628(19990618)88:3<276::aid-ajmg13>3.0.co;2-n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021302204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/70501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021694527", 
          "https://doi.org/10.1038/70501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/70501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021694527", 
          "https://doi.org/10.1038/70501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000022892", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025017949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2004.01.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025930359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/319501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027413555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.1413403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028504395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.894603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028569821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ejhg.5200705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032293868", 
          "https://doi.org/10.1038/sj.ejhg.5200705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ejhg.5200705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032293868", 
          "https://doi.org/10.1038/sj.ejhg.5200705"
        ], 
        "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": "https://doi.org/10.1056/nejmp078009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032750772"
        ], 
        "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/10.1046/j.1529-8817.2005.00200.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033942078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1529-8817.2005.00200.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033942078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(04)17273-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035990836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10038-005-0307-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037224678", 
          "https://doi.org/10.1007/s10038-005-0307-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10038-005-0307-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037224678", 
          "https://doi.org/10.1007/s10038-005-0307-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/11.20.2507", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038680478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2156-7-42", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041196868", 
          "https://doi.org/10.1186/1471-2156-7-42"
        ], 
        "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": "https://doi.org/10.1159/000085226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043429615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.631202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043612096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.genom.4.070802.110226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044113482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biopsych.2003.10.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050014188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004390100577", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052795927", 
          "https://doi.org/10.1007/s004390100577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004390100577", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052795927", 
          "https://doi.org/10.1007/s004390100577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/346068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058641331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/346068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058641331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/381000", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058673096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/499411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058782138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.gr-1733rr", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060407563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1176/ajp.153.12.1541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063484248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1517/14622416.6.4.399", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067587884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074647594", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074673360", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079752303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cdc.2004.1428826", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095089264"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-04", 
    "datePublishedReg": "2008-04-01", 
    "description": "Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (>10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12041-008-0002-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1077130", 
        "issn": [
          "0022-1333", 
          "0973-7731"
        ], 
        "name": "Journal of Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "87"
      }
    ], 
    "name": "Genetic landscape of the people of India: a canvas for disease gene exploration", 
    "pagination": "3-20", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a4d3a5353a4f594bf03e2d0bf611d5e5c2efdc88238bd321699d4db129e16afe"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18560169"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "2985113R"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12041-008-0002-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034600932"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12041-008-0002-x", 
      "https://app.dimensions.ai/details/publication/pub.1034600932"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:58", 
    "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_00000590.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12041-008-0002-x"
  }
]
 

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/s12041-008-0002-x'

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/s12041-008-0002-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12041-008-0002-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12041-008-0002-x'


 

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

249 TRIPLES      21 PREDICATES      84 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12041-008-0002-x schema:about N0c1fe03188024eb5aab6c55fc9f3e9c3
2 N191263da92c348b88cb1098eaaf3a0ec
3 N49900f2dc6574c4485816a236b2f0e49
4 N65645feafbe747b5acd760c32f24558b
5 N7294129854f54f76a6670acc341d8e4d
6 N841baff742414b1696138e2f2c0ab94f
7 N9af08dc7ff734282a7f664eeeeaeca68
8 Na15c3c4d8d6a461381cb1da2860436ad
9 Naf0eb1572fa543f291a66506efb80848
10 Nbc3b0532b2914e269958265b32cf0dc7
11 Nbe91459c978f4eb793c31e4a0de83336
12 Nd196c79024e8422fb30a3df38a52f06e
13 Ne31bb97fcd1d4e6e958831cc535f0c38
14 anzsrc-for:06
15 anzsrc-for:0604
16 schema:author Nbd94ff80ed3d42b3ad4bc3d1bbb3b371
17 schema:citation sg:pub.10.1007/s00439-005-0009-9
18 sg:pub.10.1007/s004390100577
19 sg:pub.10.1007/s10038-005-0307-z
20 sg:pub.10.1038/70501
21 sg:pub.10.1038/nature02168
22 sg:pub.10.1038/nrg1405
23 sg:pub.10.1038/sj.ejhg.5200705
24 sg:pub.10.1186/1471-2156-7-28
25 sg:pub.10.1186/1471-2156-7-42
26 https://app.dimensions.ai/details/publication/pub.1074647594
27 https://app.dimensions.ai/details/publication/pub.1074673360
28 https://doi.org/10.1002/(sici)1096-8628(19990618)88:3<276::aid-ajmg13>3.0.co;2-n
29 https://doi.org/10.1006/mgme.1998.2714
30 https://doi.org/10.1016/0198-8859(80)90105-6
31 https://doi.org/10.1016/j.biopsych.2003.10.012
32 https://doi.org/10.1016/j.cub.2004.01.024
33 https://doi.org/10.1016/s0140-6736(04)17273-5
34 https://doi.org/10.1046/j.1529-8817.2005.00200.x
35 https://doi.org/10.1056/nejmp078009
36 https://doi.org/10.1073/pnas.0507714103
37 https://doi.org/10.1073/pnas.97.19.10483
38 https://doi.org/10.1073/pnas.98.2.585
39 https://doi.org/10.1086/319501
40 https://doi.org/10.1086/346068
41 https://doi.org/10.1086/381000
42 https://doi.org/10.1086/499411
43 https://doi.org/10.1093/hmg/11.20.2507
44 https://doi.org/10.1093/oxfordjournals.molbev.a040454
45 https://doi.org/10.1101/gr.1413403
46 https://doi.org/10.1101/gr.631202
47 https://doi.org/10.1101/gr.894603
48 https://doi.org/10.1101/gr.gr-1733rr
49 https://doi.org/10.1109/cdc.2004.1428826
50 https://doi.org/10.1111/j.1469-1809.1977.tb01918.x
51 https://doi.org/10.1111/j.1469-1809.1983.tb00993.x
52 https://doi.org/10.1111/j.1530-0277.2006.00258.x
53 https://doi.org/10.1146/annurev.genom.4.070802.110226
54 https://doi.org/10.1159/000022892
55 https://doi.org/10.1159/000085226
56 https://doi.org/10.1176/ajp.153.12.1541
57 https://doi.org/10.1371/journal.pgen.0020215
58 https://doi.org/10.1517/14622416.6.4.399
59 schema:datePublished 2008-04
60 schema:datePublishedReg 2008-04-01
61 schema:description Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (>10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations.
62 schema:genre research_article
63 schema:inLanguage en
64 schema:isAccessibleForFree false
65 schema:isPartOf N3461f053abec4bf7aa07d2d178aa93b6
66 N6a2f2a7263e34d1ca6937e0a82563f47
67 sg:journal.1077130
68 schema:name Genetic landscape of the people of India: a canvas for disease gene exploration
69 schema:pagination 3-20
70 schema:productId N4d544bc21dab4c77942a7257c8c03eac
71 N8ef672e5a3214ff783385edcb7346d43
72 Ncd1f3ff0b7bb4e9785859bd8a35abb5c
73 Nd492d3e05f6944bfa96eae742128192d
74 Nef0ba022eb964bff9347467691222b52
75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034600932
76 https://doi.org/10.1007/s12041-008-0002-x
77 schema:sdDatePublished 2019-04-10T20:58
78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
79 schema:sdPublisher Nd778dd6220f6448196dcea590895f5a5
80 schema:url http://link.springer.com/10.1007%2Fs12041-008-0002-x
81 sgo:license sg:explorer/license/
82 sgo:sdDataset articles
83 rdf:type schema:ScholarlyArticle
84 N0c1fe03188024eb5aab6c55fc9f3e9c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Genetics, Population
86 rdf:type schema:DefinedTerm
87 N191263da92c348b88cb1098eaaf3a0ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Genetic Predisposition to Disease
89 rdf:type schema:DefinedTerm
90 N3461f053abec4bf7aa07d2d178aa93b6 schema:issueNumber 1
91 rdf:type schema:PublicationIssue
92 N49900f2dc6574c4485816a236b2f0e49 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Ethnic Groups
94 rdf:type schema:DefinedTerm
95 N4d544bc21dab4c77942a7257c8c03eac schema:name doi
96 schema:value 10.1007/s12041-008-0002-x
97 rdf:type schema:PropertyValue
98 N65645feafbe747b5acd760c32f24558b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Methylenetetrahydrofolate Reductase (NADPH2)
100 rdf:type schema:DefinedTerm
101 N6a2f2a7263e34d1ca6937e0a82563f47 schema:volumeNumber 87
102 rdf:type schema:PublicationVolume
103 N7294129854f54f76a6670acc341d8e4d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Receptors, CCR5
105 rdf:type schema:DefinedTerm
106 N841baff742414b1696138e2f2c0ab94f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Polymorphism, Single Nucleotide
108 rdf:type schema:DefinedTerm
109 N8ef672e5a3214ff783385edcb7346d43 schema:name pubmed_id
110 schema:value 18560169
111 rdf:type schema:PropertyValue
112 N9af08dc7ff734282a7f664eeeeaeca68 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name India
114 rdf:type schema:DefinedTerm
115 Na15c3c4d8d6a461381cb1da2860436ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Humans
117 rdf:type schema:DefinedTerm
118 Naf0eb1572fa543f291a66506efb80848 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name HIV Infections
120 rdf:type schema:DefinedTerm
121 Nbc3b0532b2914e269958265b32cf0dc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Haplotypes
123 rdf:type schema:DefinedTerm
124 Nbd94ff80ed3d42b3ad4bc3d1bbb3b371 rdf:first sg:person.013044276523.28
125 rdf:rest rdf:nil
126 Nbe91459c978f4eb793c31e4a0de83336 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Genetic Variation
128 rdf:type schema:DefinedTerm
129 Ncd1f3ff0b7bb4e9785859bd8a35abb5c schema:name readcube_id
130 schema:value a4d3a5353a4f594bf03e2d0bf611d5e5c2efdc88238bd321699d4db129e16afe
131 rdf:type schema:PropertyValue
132 Nd196c79024e8422fb30a3df38a52f06e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Chromosomes, Human, Pair 22
134 rdf:type schema:DefinedTerm
135 Nd492d3e05f6944bfa96eae742128192d schema:name dimensions_id
136 schema:value pub.1034600932
137 rdf:type schema:PropertyValue
138 Nd778dd6220f6448196dcea590895f5a5 schema:name Springer Nature - SN SciGraph project
139 rdf:type schema:Organization
140 Ne31bb97fcd1d4e6e958831cc535f0c38 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Alleles
142 rdf:type schema:DefinedTerm
143 Nef0ba022eb964bff9347467691222b52 schema:name nlm_unique_id
144 schema:value 2985113R
145 rdf:type schema:PropertyValue
146 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
147 schema:name Biological Sciences
148 rdf:type schema:DefinedTerm
149 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
150 schema:name Genetics
151 rdf:type schema:DefinedTerm
152 sg:journal.1077130 schema:issn 0022-1333
153 0973-7731
154 schema:name Journal of Genetics
155 rdf:type schema:Periodical
156 sg:person.013044276523.28 schema:familyName Indian Genome Variation Consortium
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013044276523.28
158 rdf:type schema:Person
159 sg:pub.10.1007/s00439-005-0009-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005371072
160 https://doi.org/10.1007/s00439-005-0009-9
161 rdf:type schema:CreativeWork
162 sg:pub.10.1007/s004390100577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052795927
163 https://doi.org/10.1007/s004390100577
164 rdf:type schema:CreativeWork
165 sg:pub.10.1007/s10038-005-0307-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1037224678
166 https://doi.org/10.1007/s10038-005-0307-z
167 rdf:type schema:CreativeWork
168 sg:pub.10.1038/70501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021694527
169 https://doi.org/10.1038/70501
170 rdf:type schema:CreativeWork
171 sg:pub.10.1038/nature02168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033654326
172 https://doi.org/10.1038/nature02168
173 rdf:type schema:CreativeWork
174 sg:pub.10.1038/nrg1405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017977333
175 https://doi.org/10.1038/nrg1405
176 rdf:type schema:CreativeWork
177 sg:pub.10.1038/sj.ejhg.5200705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032293868
178 https://doi.org/10.1038/sj.ejhg.5200705
179 rdf:type schema:CreativeWork
180 sg:pub.10.1186/1471-2156-7-28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019971439
181 https://doi.org/10.1186/1471-2156-7-28
182 rdf:type schema:CreativeWork
183 sg:pub.10.1186/1471-2156-7-42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041196868
184 https://doi.org/10.1186/1471-2156-7-42
185 rdf:type schema:CreativeWork
186 https://app.dimensions.ai/details/publication/pub.1074647594 schema:CreativeWork
187 https://app.dimensions.ai/details/publication/pub.1074673360 schema:CreativeWork
188 https://doi.org/10.1002/(sici)1096-8628(19990618)88:3<276::aid-ajmg13>3.0.co;2-n schema:sameAs https://app.dimensions.ai/details/publication/pub.1021302204
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1006/mgme.1998.2714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003487331
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/0198-8859(80)90105-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007702038
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.biopsych.2003.10.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050014188
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.cub.2004.01.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025930359
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/s0140-6736(04)17273-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035990836
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1046/j.1529-8817.2005.00200.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033942078
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1056/nejmp078009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032750772
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1073/pnas.0507714103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019817939
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1073/pnas.97.19.10483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012655959
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1073/pnas.98.2.585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003270956
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1086/319501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027413555
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1086/346068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058641331
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1086/381000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058673096
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1086/499411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058782138
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1093/hmg/11.20.2507 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038680478
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1093/oxfordjournals.molbev.a040454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079752303
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1101/gr.1413403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028504395
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1101/gr.631202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043612096
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1101/gr.894603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028569821
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1101/gr.gr-1733rr schema:sameAs https://app.dimensions.ai/details/publication/pub.1060407563
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1109/cdc.2004.1428826 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095089264
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1111/j.1469-1809.1977.tb01918.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032446756
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1111/j.1469-1809.1983.tb00993.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043371256
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1111/j.1530-0277.2006.00258.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000910033
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1146/annurev.genom.4.070802.110226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044113482
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1159/000022892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025017949
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1159/000085226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043429615
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1176/ajp.153.12.1541 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063484248
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1371/journal.pgen.0020215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010472226
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1517/14622416.6.4.399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067587884
249 rdf:type schema:CreativeWork
 




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


...