Ontology type: schema:ScholarlyArticle
2018-07
AUTHORSRan Li, Chuchu Zhang, Haiyan Li, Riga Wu, Haixia Li, Zhenya Tang, Chenhao Zhen, Jianye Ge, Dan Peng, Ying Wang, Hongying Chen, Hongyu Sun
ABSTRACTIn the present study, 90 autosomal single nucleotide polymorphisms (SNPs) and 34 Y chromosomal SNPs were sequenced simultaneously using HID-Ion AmpliSeq™ Identity Panel on the Ion PGM™ platform for 125 samples in a southern Chinese population. Raw data were analyzed and forensic parameters were calculated. Haplogrouping concordance was also assessed using alternative methods based on Y-SNP haplotypes and Y-STR haplotypes. The results showed that allelic imbalance occurred more frequently with low coverage while several SNPs with high coverage were also observed with poor allelic balance, including rs214955, rs430046, rs7520386, rs876724, rs9171188, rs16981290, and rs2032631. Totally, 21,261 miscalled reads (0.28%) were observed. The rate of allele-specific miscalled reads (ASMRs) was higher than that of allele nonspecific miscalled reads (ANMRs) and associated with genetic diversity of the SNP. The ASMRs of major allele were lower than that of minor allele while there was no difference for ANMRs. The combined discrimination power (CDP) was 1-4.81 × 10-34 and the combined power of exclusion (CPE) was 0.99989 and 0.99999992 for duo and trio paternity testing, respectively. No significant genetic difference was detected between southern and northern Chinese populations. For haplogroup study, O2 was the predominant haplogroup and 97.01% of samples were assigned consistent haplogoups with Y-SNP and Y-STR haplotypes. In conclusion, the AmpliSeq™ Identity Panel was powerful for individual identification and trio paternity testing. ASMRs were associated with the genetic diversity and allele frequency while neither was related for ANMRs. High concordance of haplogrouping assignment can be obtained with Y-STR and Y-SNP haplotypes. More... »
PAGES997-1006
http://scigraph.springernature.com/pub.10.1007/s00414-017-1706-3
DOIhttp://dx.doi.org/10.1007/s00414-017-1706-3
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1092274947
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29046953
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": "Asian Continental Ancestry Group",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "China",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Chromosomes, Human, Y",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "DNA Fingerprinting",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Gene Frequency",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Genetics, Population",
"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": "Microsatellite Repeats",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Polymerase Chain Reaction",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Polymorphism, Single Nucleotide",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Sun Yat-sen University",
"id": "https://www.grid.ac/institutes/grid.12981.33",
"name": [
"Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, 510080, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Ran",
"id": "sg:person.01145701023.04",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145701023.04"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Sun Yat-sen University",
"id": "https://www.grid.ac/institutes/grid.12981.33",
"name": [
"Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, 510080, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Zhang",
"givenName": "Chuchu",
"id": "sg:person.0754771361.73",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754771361.73"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"The Center of Criminal Technology of Guangdong Province, 510050, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Haiyan",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Sun Yat-sen University",
"id": "https://www.grid.ac/institutes/grid.12981.33",
"name": [
"Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, 510080, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Wu",
"givenName": "Riga",
"id": "sg:person.01352111511.48",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352111511.48"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Sun Yat-sen University",
"id": "https://www.grid.ac/institutes/grid.12981.33",
"name": [
"Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, 510080, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Haixia",
"id": "sg:person.010700673713.38",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010700673713.38"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"The Center of Criminal Technology of Guangdong Province, 510050, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Tang",
"givenName": "Zhenya",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Southern Medical University",
"id": "https://www.grid.ac/institutes/grid.284723.8",
"name": [
"The Second Clinical Medical School (Zhujiang Hospital), Southern Medical University, 510280, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Zhen",
"givenName": "Chenhao",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Thermo Fisher Scientific (United States)",
"id": "https://www.grid.ac/institutes/grid.418190.5",
"name": [
"Thermo Fisher Scientific Inc, 94080, South San Francisco, CA, USA"
],
"type": "Organization"
},
"familyName": "Ge",
"givenName": "Jianye",
"id": "sg:person.01304217761.45",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304217761.45"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Sun Yat-sen University",
"id": "https://www.grid.ac/institutes/grid.12981.33",
"name": [
"Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, 510080, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Peng",
"givenName": "Dan",
"id": "sg:person.013666575713.12",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013666575713.12"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Sun Yat-sen University",
"id": "https://www.grid.ac/institutes/grid.12981.33",
"name": [
"Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, 510080, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "Ying",
"id": "sg:person.01101042231.55",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101042231.55"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"The Center of Criminal Technology of Guangdong Province, 510050, Guangzhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Chen",
"givenName": "Hongying",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Sun Yat-sen University",
"id": "https://www.grid.ac/institutes/grid.12981.33",
"name": [
"Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, 510080, Guangzhou, People\u2019s Republic of China",
"Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, 510089, Guangzhou, Guangdong, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Sun",
"givenName": "Hongyu",
"id": "sg:person.0776062220.10",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776062220.10"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.forsciint.2005.11.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004627333"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature10242",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007480955",
"https://doi.org/10.1038/nature10242"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/srep18683",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012149049",
"https://doi.org/10.1038/srep18683"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fsigen.2014.06.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012945992"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fsigen.2016.02.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014672103"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.forsciint.2004.10.020",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016251060"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fsigen.2016.07.021",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019654677"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1755-0998.2010.02847.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020645983"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1755-0998.2010.02847.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020645983"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jchb.2016.10.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020732057"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000338857",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025345332"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00439-009-0771-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027046407",
"https://doi.org/10.1007/s00439-009-0771-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00439-009-0771-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027046407",
"https://doi.org/10.1007/s00439-009-0771-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00439-009-0771-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027046407",
"https://doi.org/10.1007/s00439-009-0771-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00439-009-0771-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027046407",
"https://doi.org/10.1007/s00439-009-0771-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/elps.201500089",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027745127"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2105-9-428",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033531880",
"https://doi.org/10.1186/1471-2105-9-428"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fsigen.2015.04.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035430680"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fsigen.2012.06.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035987874"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00414-013-0879-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041962100",
"https://doi.org/10.1007/s00414-013-0879-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00414-010-0459-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042041199",
"https://doi.org/10.1007/s00414-010-0459-z"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fsigen.2015.07.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042219508"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nbt.2198",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043867750",
"https://doi.org/10.1038/nbt.2198"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/elps.200500671",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045314298"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/elps.200500671",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045314298"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.7172008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049154127"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00414-009-0404-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050737595",
"https://doi.org/10.1007/s00414-009-0404-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00414-009-0404-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050737595",
"https://doi.org/10.1007/s00414-009-0404-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-294x.2007.03089.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051034705"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.forsciint.2004.06.018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053579903"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1127/0003-5548/2014/0368",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062694319"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-07",
"datePublishedReg": "2018-07-01",
"description": "In the present study, 90 autosomal single nucleotide polymorphisms (SNPs) and 34 Y chromosomal SNPs were sequenced simultaneously using HID-Ion AmpliSeq\u2122 Identity Panel on the Ion PGM\u2122 platform for 125 samples in a southern Chinese population. Raw data were analyzed and forensic parameters were calculated. Haplogrouping concordance was also assessed using alternative methods based on Y-SNP haplotypes and Y-STR haplotypes. The results showed that allelic imbalance occurred more frequently with low coverage while several SNPs with high coverage were also observed with poor allelic balance, including rs214955, rs430046, rs7520386, rs876724, rs9171188, rs16981290, and rs2032631. Totally, 21,261 miscalled reads (0.28%) were observed. The rate of allele-specific miscalled reads (ASMRs) was higher than that of allele nonspecific miscalled reads (ANMRs) and associated with genetic diversity of the SNP. The ASMRs of major allele were lower than that of minor allele while there was no difference for ANMRs. The combined discrimination power (CDP) was 1-4.81\u00a0\u00d7\u00a010-34 and the combined power of exclusion (CPE) was 0.99989 and 0.99999992 for duo and trio paternity testing, respectively. No significant genetic difference was detected between southern and northern Chinese populations. For haplogroup study, O2 was the predominant haplogroup and 97.01% of samples were assigned consistent haplogoups with Y-SNP and Y-STR haplotypes. In conclusion, the AmpliSeq\u2122 Identity Panel was powerful for individual identification and trio paternity testing. ASMRs were associated with the genetic diversity and allele frequency while neither was related for ANMRs. High concordance of haplogrouping assignment can be obtained with Y-STR and Y-SNP haplotypes.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00414-017-1706-3",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isFundedItemOf": [
{
"id": "sg:grant.7206361",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1013672",
"issn": [
"0937-9827",
"1437-1596"
],
"name": "International Journal of Legal Medicine",
"type": "Periodical"
},
{
"issueNumber": "4",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "132"
}
],
"name": "SNP typing using the HID-Ion AmpliSeq\u2122 Identity Panel in a southern Chinese population",
"pagination": "997-1006",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"35db0c5256c47d5028d8400a66610dc36770969b7a512f3cdeaa065a73ea49db"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"29046953"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9101456"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00414-017-1706-3"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1092274947"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00414-017-1706-3",
"https://app.dimensions.ai/details/publication/pub.1092274947"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T13:26",
"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_8659_00000564.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs00414-017-1706-3"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s00414-017-1706-3'
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/s00414-017-1706-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00414-017-1706-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00414-017-1706-3'
This table displays all metadata directly associated to this object as RDF triples.
284 TRIPLES
21 PREDICATES
65 URIs
32 LITERALS
20 BLANK NODES