Forensic science international. Genetics最新文献

Exhaustive measures to identify historical remains. 详尽的鉴定历史遗迹的措施。

IF 3.1

Forensic science international. Genetics Pub Date : 2026-10-16 DOI: 10.1016/j.fsigen.2026.103634

Erik F Bergseth, Thore Egeland, Adam Staadig, Andreas Tillmar, Daniel Kling

{"title":"Exhaustive measures to identify historical remains.","authors":"Erik F Bergseth, Thore Egeland, Adam Staadig, Andreas Tillmar, Daniel Kling","doi":"10.1016/j.fsigen.2026.103634","DOIUrl":"https://doi.org/10.1016/j.fsigen.2026.103634","url":null,"abstract":"The investigation into two bodies unearthed in 1946, suspected to be those of an infamous pair of siblings executed in 1742 for murder, has undergone comprehensive genetic investigations. Four libraries were prepared and sequenced for each of the two remains, yielding a 4X and 14X mean genome wide coverage. The data suggests high bacterial content and a high amount of unspecific sequence, with only 5-10% of reads mapping to the human genome, as well as high duplication levels (44-76%). With the aid of a dedicated group of local historians, ten distant relatives descended from the duo were identified and sampled. The 10 reference samples and 35 unrelated individuals from the Norwegian population were analysed using a GSA microarray covering an excess of 600,000 SNP markers. To augment the data and provide a higher overlap between the whole genome sequence data from the bones and the reference individuals, genotype imputation was performed on the high-quality microarray data, using 2504 individuals from 1000 Genomes (1000 G) as the reference panel for the imputation. Using a combination of IBD-segment matching and traditional likelihood ratio approaches, our combined results provide strong genetic support consistent with the proposed identification of the unidentified remains. This study demonstrates the potential of emerging genotyping approaches, combined with advanced relationship inference methods. The findings contribute to knowledge that could support future applications in forensic genetics.","PeriodicalId":94012,"journal":{"name":"Forensic science international. Genetics","volume":"87 ","pages":"103634"},"PeriodicalIF":3.1,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149225763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to "Triple sex marker failure in male DNA: AMELY, Y-InDel, and terminal Yq deletion resolved by integrated STR/NGS analysis" [Forensic Sci. Intern.: Genet., 87 (2027) 103603]. 《男性DNA三重性别标记缺失：AMELY、Y-InDel和末端Yq缺失的综合STR/NGS分析》的更正[法医科学]。实习生。:麝猫。科学通报，87(2027):103603]。

IF 3.1

Forensic science international. Genetics Pub Date : 2026-09-24 DOI: 10.1016/j.fsigen.2026.103629

Vivek Kumar Shrivastav, Praveesh Bhati, Kamlesh Kaitholia, Deepali Shukla

引用次数: 0

Corrigendum to "DNA methylation-based assay and random forest classification model for identification of biological materials" [Forensic Sci. Int.: Genet. 84 (2026) 103499]. “鉴定生物材料的DNA甲基化分析和随机森林分类模型”的勘误表[法医科学]。Int。[j].生物医学工程学报。84(2026)103499。

IF 3.1

Forensic science international. Genetics Pub Date : 2026-08-28 DOI: 10.1016/j.fsigen.2026.103602

Laura Schmelzer, Franz Haehn, Ulrike Schmidt, Jana Naue

引用次数: 0

TrACE - Trace analysis collaborative exercise: A transparent, expert driven concept of proficiency tests. 跟踪-跟踪分析协作练习：一个透明的、专家驱动的能力测试概念。

IF 3.1

Forensic science international. Genetics Pub Date : 2026-01-01 Epub Date: 2025-07-25 DOI: 10.1016/j.fsigen.2025.103333

Marielle Vennemann, Hannah Bauer, Katja Anslinger, Martin Eckert, Waldemar Spitz, Stefanie Grethe, Walther Parson, Petra Preikschat-Sachse, The TrACE Team

{"title":"TrACE - Trace analysis collaborative exercise: A transparent, expert driven concept of proficiency tests.","authors":"Marielle Vennemann, Hannah Bauer, Katja Anslinger, Martin Eckert, Waldemar Spitz, Stefanie Grethe, Walther Parson, Petra Preikschat-Sachse, The TrACE Team","doi":"10.1016/j.fsigen.2025.103333","DOIUrl":"10.1016/j.fsigen.2025.103333","url":null,"abstract":"TrACE (Trace Analysis Collaborative Exercise) represents a novel, strictly expert driven and transparent concept of external quality control based on a combination of proficiency testing and interlaboratory comparisons. TrACE is an official proficiency test scheme of the German Stain Commission and acts in accordance with the recommendations for proficiency testing issued by this commission and outlined in DIN EN ISO 17025. TrACE offers modules on all aspects of forensic genetics that address challenges encountered in real casework. Basic modules represent proficiency tests that cover the physical examination of items, the identification of body fluids, DNA extraction, the analysis of autosomal and Y-chromosomal STRs and mitochondrial DNA (mtDNA), and the interpretation and verbalisation of results, including complex mixtures. Advanced and extended modules provide interlaboratory tests with more challenging items and novel methodology such as probabilistic genotyping and forensic DNA phenotyping (FDP). Each module is coordinated by an internationally recognised expert in the respective field. The members of the TrACE team are based in case work and/or academic forensic laboratories.","PeriodicalId":94012,"journal":{"name":"Forensic science international. Genetics","volume":"80 ","pages":"103333"},"PeriodicalIF":3.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144812809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Revisiting guidance on population sampling for highly polymorphic STR loci. 重新审视高多态性STR基因座的群体抽样指南。

IF 3.1

Forensic science international. Genetics Pub Date : 2026-01-01 Epub Date: 2025-08-05 DOI: 10.1016/j.fsigen.2025.103336

Sanne E Aalbers, Katherine B Gettings

{"title":"Revisiting guidance on population sampling for highly polymorphic STR loci.","authors":"Sanne E Aalbers, Katherine B Gettings","doi":"10.1016/j.fsigen.2025.103336","DOIUrl":"10.1016/j.fsigen.2025.103336","url":null,"abstract":"Population databases allow us to attach probabilities to DNA evidence by the estimation of genotype frequencies, which rely on accurate allele frequency estimates. As short tandem repeat (STR) marker sets for human identification have expanded to include more discriminating markers, and especially now that sequencing techniques allow us to distinguish between alleles based on variation in underlying base-pair structure, it is important to reevaluate existing guidance on population database sizes for the estimation of allele frequencies. In this paper, we revisit the topic of population sampling by focusing on the representation of alleles, i.e. whether alleles are observed or not, in a sample of individuals containing data for highly polymorphic autosomal STR loci. The effect of both length- and sequence-based STR data on population sample size implications are demonstrated, and differences between lesser and more polymorphic markers are discussed. The consequences of using a limited number of individuals are explored and the impact of increasing population sample sizes by combining different data sets is shown to help determine the point at which further sampling may no longer provide significant value. Finally, different approaches for accommodating previously unobserved alleles and their impact on DNA evidence evaluations are discussed.","PeriodicalId":94012,"journal":{"name":"Forensic science international. Genetics","volume":"80 ","pages":"103336"},"PeriodicalIF":3.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12382342/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Expression of Concern "Population data of 17 Y-STR loci in Nanyang Han population from Henan Province, Central China" [Forensic Sci. Int. Gene. 13 (2014) 145-146]. 《河南省南阳汉族人群17个Y-STR基因座的种群数据》[法医学]；Int。基因，13(2014)145-146。

Forensic science international. Genetics Pub Date : 2025-02-01 Epub Date: 2024-08-05 DOI: 10.1016/j.fsigen.2024.103119

引用次数: 0

Expression of Concern: "Genetic profile of 17 Y chromosome STRs in the Guizhou Han population of southwestern China" [Forensic Sci. Int. Genet. 25 (2016) e6-e7]. 关注表达：“中国西南地区贵州汉族人群17条Y染色体STRs的遗传图谱”[法医学]。Int。热学杂志，25(2016)[6- 7]。

Forensic science international. Genetics Pub Date : 2025-02-01 Epub Date: 2024-08-05 DOI: 10.1016/j.fsigen.2024.103120

引用次数: 0

Expression of concern "Population data of 17 Y-STR haplotypes in Jining Han population from Shandong province, East China" [Forensic Sci. Int. Genet. 19 (2015) 47-49]. 《山东省济宁市汉族人群17个Y-STR单倍型的种群数据》[法医学]；Int。热那亚，19(2015)47-49。

Forensic science international. Genetics Pub Date : 2025-02-01 Epub Date: 2024-08-08 DOI: 10.1016/j.fsigen.2024.103117

引用次数: 0

Expression of concern: "Genetic polymorphisms of 17 Y chromosomal STRs in She and Manchu ethnic populations from China" [Forensic Sci. Int.: Genet. 22 (2016) e12-e14]. 关注表达：“中国畲族和满族人群中17个Y染色体STRs的遗传多态性”[法医科学]。Int。[j].热学杂志，22 (2016)e12-e14。

Forensic science international. Genetics Pub Date : 2025-02-01 Epub Date: 2024-08-03 DOI: 10.1016/j.fsigen.2024.103114

引用次数: 0

Expression of Concern "Population genetics of 17 Y-STR loci in a large Chinese Han population from Zhejiang Province, Eastern China" [Forensic Sci. Int. Genet. 5 (2011) e11-e13]. 关注表达“中国东部浙江省大型汉族人群中17个Y-STR位点的群体遗传学”[法医学]。Int。热学杂志，5(2011)[11- 13]。

Forensic science international. Genetics Pub Date : 2025-02-01 Epub Date: 2024-08-05 DOI: 10.1016/j.fsigen.2024.103118

引用次数: 0