Testing of two SNP array–based genealogy algorithms using extended Han Chinese pedigrees and recommendations for improved performances in forensic practice

Distant genetic relatives can be linked to a crime scene sample by computing identity‐by‐state (IBS) and identity‐by‐descent (IBD) shared by individuals. To test the methods of genetic genealogy estimation and optimal the parameters for forensic investigation, a family‐based genetic genealogy analys...

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Published inElectrophoresis Vol. 44; no. 17-18; pp. 1435 - 1445
Main Authors Liu, Jing, Wei, Yi‐Liang, Yang, Lan, Jiang, Li, Zhao, Wen‐Ting, Li, Cai‐Xia
Format Journal Article
LanguageEnglish
Published Germany Wiley Subscription Services, Inc 01.09.2023
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Online AccessGet full text
ISSN0173-0835
1522-2683
1522-2683
DOI10.1002/elps.202200237

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Abstract Distant genetic relatives can be linked to a crime scene sample by computing identity‐by‐state (IBS) and identity‐by‐descent (IBD) shared by individuals. To test the methods of genetic genealogy estimation and optimal the parameters for forensic investigation, a family‐based genetic genealogy analysis was performed using a dataset of 262 Han Chinese individuals from 11 families. The dataset covered relative pairs from 1st‐ to 14th degrees. But the 7th‐degree relative is the most distant kinship to be fully investigated, and each individual has ∼200 relatives within the 7th degree. The KING algorithm by calculating IBS and IBD statistics can correctly discriminate the first‐degree relationships of monozygotic twin, parent–offspring and full sibling. The inferred relationship was reliable within the fifth‐degree, false positive rate <1.8%. The IBD segment algorithm, GERMLINE + ERSA, could provide reliable inference result prolonged to eighth degree. Analysis of IBD segments produced obviously false negative estimations (<27.4%) rather than false positives (0%) within the eighth‐degree inferences. We studied different minimum IBD segment threshold settings (changed from >0 to 6 cM); the inferred results did not make much difference. In distant relative analysis, genetically undetectable relationships begin to occur from the sixth degree (second cousin once removed), which means the offspring after seven meiotic divisions may share no ancestor IBD segment at all. Application of KING and GERMLINE + ERSA worked complementarily to ensure accurate inference from first degree to eighth degree. Using simulated low call rate data, the KING algorithm shows better tolerance to marker decrease compared with the GERMLINE + ERSA segment algorithm.
AbstractList Distant genetic relatives can be linked to a crime scene sample by computing identity‐by‐state (IBS) and identity‐by‐descent (IBD) shared by individuals. To test the methods of genetic genealogy estimation and optimal the parameters for forensic investigation, a family‐based genetic genealogy analysis was performed using a dataset of 262 Han Chinese individuals from 11 families. The dataset covered relative pairs from 1st‐ to 14th degrees. But the 7th‐degree relative is the most distant kinship to be fully investigated, and each individual has ∼200 relatives within the 7th degree. The KING algorithm by calculating IBS and IBD statistics can correctly discriminate the first‐degree relationships of monozygotic twin, parent–offspring and full sibling. The inferred relationship was reliable within the fifth‐degree, false positive rate <1.8%. The IBD segment algorithm, GERMLINE + ERSA, could provide reliable inference result prolonged to eighth degree. Analysis of IBD segments produced obviously false negative estimations (<27.4%) rather than false positives (0%) within the eighth‐degree inferences. We studied different minimum IBD segment threshold settings (changed from >0 to 6 cM); the inferred results did not make much difference. In distant relative analysis, genetically undetectable relationships begin to occur from the sixth degree (second cousin once removed), which means the offspring after seven meiotic divisions may share no ancestor IBD segment at all. Application of KING and GERMLINE + ERSA worked complementarily to ensure accurate inference from first degree to eighth degree. Using simulated low call rate data, the KING algorithm shows better tolerance to marker decrease compared with the GERMLINE + ERSA segment algorithm.
Distant genetic relatives can be linked to a crime scene sample by computing identity-by-state (IBS) and identity-by-descent (IBD) shared by individuals. To test the methods of genetic genealogy estimation and optimal the parameters for forensic investigation, a family-based genetic genealogy analysis was performed using a dataset of 262 Han Chinese individuals from 11 families. The dataset covered relative pairs from 1st- to 14th degrees. But the 7th-degree relative is the most distant kinship to be fully investigated, and each individual has ∼200 relatives within the 7th degree. The KING algorithm by calculating IBS and IBD statistics can correctly discriminate the first-degree relationships of monozygotic twin, parent-offspring and full sibling. The inferred relationship was reliable within the fifth-degree, false positive rate <1.8%. The IBD segment algorithm, GERMLINE + ERSA, could provide reliable inference result prolonged to eighth degree. Analysis of IBD segments produced obviously false negative estimations (<27.4%) rather than false positives (0%) within the eighth-degree inferences. We studied different minimum IBD segment threshold settings (changed from >0 to 6 cM); the inferred results did not make much difference. In distant relative analysis, genetically undetectable relationships begin to occur from the sixth degree (second cousin once removed), which means the offspring after seven meiotic divisions may share no ancestor IBD segment at all. Application of KING and GERMLINE + ERSA worked complementarily to ensure accurate inference from first degree to eighth degree. Using simulated low call rate data, the KING algorithm shows better tolerance to marker decrease compared with the GERMLINE + ERSA segment algorithm.Distant genetic relatives can be linked to a crime scene sample by computing identity-by-state (IBS) and identity-by-descent (IBD) shared by individuals. To test the methods of genetic genealogy estimation and optimal the parameters for forensic investigation, a family-based genetic genealogy analysis was performed using a dataset of 262 Han Chinese individuals from 11 families. The dataset covered relative pairs from 1st- to 14th degrees. But the 7th-degree relative is the most distant kinship to be fully investigated, and each individual has ∼200 relatives within the 7th degree. The KING algorithm by calculating IBS and IBD statistics can correctly discriminate the first-degree relationships of monozygotic twin, parent-offspring and full sibling. The inferred relationship was reliable within the fifth-degree, false positive rate <1.8%. The IBD segment algorithm, GERMLINE + ERSA, could provide reliable inference result prolonged to eighth degree. Analysis of IBD segments produced obviously false negative estimations (<27.4%) rather than false positives (0%) within the eighth-degree inferences. We studied different minimum IBD segment threshold settings (changed from >0 to 6 cM); the inferred results did not make much difference. In distant relative analysis, genetically undetectable relationships begin to occur from the sixth degree (second cousin once removed), which means the offspring after seven meiotic divisions may share no ancestor IBD segment at all. Application of KING and GERMLINE + ERSA worked complementarily to ensure accurate inference from first degree to eighth degree. Using simulated low call rate data, the KING algorithm shows better tolerance to marker decrease compared with the GERMLINE + ERSA segment algorithm.
Distant genetic relatives can be linked to a crime scene sample by computing identity‐by‐state (IBS) and identity‐by‐descent (IBD) shared by individuals. To test the methods of genetic genealogy estimation and optimal the parameters for forensic investigation, a family‐based genetic genealogy analysis was performed using a dataset of 262 Han Chinese individuals from 11 families. The dataset covered relative pairs from 1st‐ to 14th degrees. But the 7th‐degree relative is the most distant kinship to be fully investigated, and each individual has ∼200 relatives within the 7th degree. The KING algorithm by calculating IBS and IBD statistics can correctly discriminate the first‐degree relationships of monozygotic twin, parent–offspring and full sibling. The inferred relationship was reliable within the fifth‐degree, false positive rate <1.8%. The IBD segment algorithm, GERMLINE + ERSA, could provide reliable inference result prolonged to eighth degree. Analysis of IBD segments produced obviously false negative estimations (<27.4%) rather than false positives (0%) within the eighth‐degree inferences. We studied different minimum IBD segment threshold settings (changed from >0 to 6 cM); the inferred results did not make much difference. In distant relative analysis, genetically undetectable relationships begin to occur from the sixth degree (second cousin once removed), which means the offspring after seven meiotic divisions may share no ancestor IBD segment at all. Application of KING and GERMLINE + ERSA worked complementarily to ensure accurate inference from first degree to eighth degree. Using simulated low call rate data, the KING algorithm shows better tolerance to marker decrease compared with the GERMLINE + ERSA segment algorithm.
Author Jiang, Li
Zhao, Wen‐Ting
Li, Cai‐Xia
Liu, Jing
Wei, Yi‐Liang
Yang, Lan
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Cites_doi 10.1101/gr.115972.110
10.1101/gr.081398.108
10.1038/nature11258
10.1016/j.fsigen.2019.06.019
10.1093/bioinformatics/btq559
10.1016/j.fsigen.2018.07.010
10.1371/journal.pbio.2006906
10.1038/nature08365
10.1016/j.fsigen.2021.102525
10.1038/ng.3571
10.1016/j.fsigss.2022.11.002
10.1038/s41467-018-08219-1
10.1086/519795
10.1038/s41588-018-0327-1
10.1126/science.aan3842
10.1126/science.1122655
10.1016/j.fsigen.2021.102625
10.1371/journal.pgen.1008929
10.1016/j.fsigen.2021.102474
10.1126/science.aau4832
10.1016/j.fsigen.2019.05.007
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Issue 17-18
Keywords identity-by-state
long-range familial search
single nucleotide polymorphism
kinship analysis
identity-by-descent
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References e_1_2_10_12_1
e_1_2_10_23_1
e_1_2_10_13_1
e_1_2_10_24_1
Liu J (e_1_2_10_9_1) 2021; 46
e_1_2_10_10_1
Zhang W (e_1_2_10_19_1) 2022; 26
e_1_2_10_21_1
e_1_2_10_11_1
Wu W (e_1_2_10_18_1) 2016; 31
e_1_2_10_22_1
e_1_2_10_20_1
e_1_2_10_2_1
e_1_2_10_4_1
e_1_2_10_3_1
e_1_2_10_6_1
e_1_2_10_16_1
e_1_2_10_5_1
e_1_2_10_17_1
e_1_2_10_8_1
e_1_2_10_14_1
e_1_2_10_25_1
e_1_2_10_7_1
e_1_2_10_15_1
References_xml – ident: e_1_2_10_17_1
  doi: 10.1101/gr.115972.110
– ident: e_1_2_10_16_1
  doi: 10.1101/gr.081398.108
– ident: e_1_2_10_5_1
  doi: 10.1038/nature11258
– ident: e_1_2_10_14_1
  doi: 10.1016/j.fsigen.2019.06.019
– ident: e_1_2_10_15_1
  doi: 10.1093/bioinformatics/btq559
– ident: e_1_2_10_7_1
  doi: 10.1016/j.fsigen.2018.07.010
– volume: 31
  start-page: 27
  year: 2016
  ident: e_1_2_10_18_1
  article-title: The study and analysis of polymorphisms of 41 STR loci in Chinese Han population from 28 provinces/regions
  publication-title: Chin J Forensic Med
– ident: e_1_2_10_25_1
  doi: 10.1371/journal.pbio.2006906
– ident: e_1_2_10_4_1
  doi: 10.1038/nature08365
– volume: 26
  start-page: 515
  year: 2022
  ident: e_1_2_10_19_1
  article-title: Research and accuracy evaluation of automatic analysis software system for forensic DNA pedigree inference
  publication-title: Life Sci Res
– volume: 46
  start-page: 652
  year: 2021
  ident: e_1_2_10_9_1
  article-title: Forensic SNP genealogy inference helping ferret out a 14‐year‐long unsolved cold case
  publication-title: Forensic Sci Technol
– ident: e_1_2_10_10_1
  doi: 10.1016/j.fsigen.2021.102525
– ident: e_1_2_10_21_1
  doi: 10.1038/ng.3571
– ident: e_1_2_10_13_1
  doi: 10.1016/j.fsigss.2022.11.002
– ident: e_1_2_10_3_1
  doi: 10.1038/s41467-018-08219-1
– ident: e_1_2_10_20_1
  doi: 10.1086/519795
– ident: e_1_2_10_2_1
  doi: 10.1038/s41588-018-0327-1
– ident: e_1_2_10_6_1
  doi: 10.1126/science.aan3842
– ident: e_1_2_10_11_1
  doi: 10.1126/science.1122655
– ident: e_1_2_10_23_1
  doi: 10.1016/j.fsigen.2021.102625
– ident: e_1_2_10_24_1
  doi: 10.1371/journal.pgen.1008929
– ident: e_1_2_10_12_1
  doi: 10.1016/j.fsigen.2021.102474
– ident: e_1_2_10_8_1
  doi: 10.1126/science.aau4832
– ident: e_1_2_10_22_1
  doi: 10.1016/j.fsigen.2019.05.007
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Snippet Distant genetic relatives can be linked to a crime scene sample by computing identity‐by‐state (IBS) and identity‐by‐descent (IBD) shared by individuals. To...
Distant genetic relatives can be linked to a crime scene sample by computing identity-by-state (IBS) and identity-by-descent (IBD) shared by individuals. To...
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StartPage 1435
SubjectTerms Algorithms
ancestry
Chinese people
crime
data collection
Datasets
electrophoresis
forensic sciences
Genealogy
germ cells
Inference
kinship
meiosis
progeny
Segments
statistics
Title Testing of two SNP array–based genealogy algorithms using extended Han Chinese pedigrees and recommendations for improved performances in forensic practice
URI https://www.ncbi.nlm.nih.gov/pubmed/37501329
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