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Wagner JK, Yu JH, Fullwiley D, Moore C, Wilson JF, Bamshad MJ, Royal CD. Guidelines for genetic ancestry inference created through roundtable discussions. HGG ADVANCES 2023; 4:100178. [PMID: 36798092 PMCID: PMC9926022 DOI: 10.1016/j.xhgg.2023.100178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/03/2023] [Indexed: 01/15/2023] Open
Abstract
The use of genetic and genomic technology to infer ancestry is commonplace in a variety of contexts, particularly in biomedical research and for direct-to-consumer genetic testing. In 2013 and 2015, two roundtables engaged a diverse group of stakeholders toward the development of guidelines for inferring genetic ancestry in academia and industry. This report shares the stakeholder groups' work and provides an analysis of, commentary on, and views from the groundbreaking and sustained dialogue. We describe the engagement processes and the stakeholder groups' resulting statements and proposed guidelines. The guidelines focus on five key areas: application of genetic ancestry inference, assumptions and confidence/laboratory and statistical methods, terminology and population identifiers, impact on individuals and groups, and communication or translation of genetic ancestry inferences. We delineate the terms and limitations of the guidelines and discuss their critical role in advancing the development and implementation of best practices for inferring genetic ancestry and reporting the results. These efforts should inform both governmental regulation and self-regulation.
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Affiliation(s)
- Jennifer K. Wagner
- School of Engineering Design and Innovation, Pennsylvania State University, University Park, PA 16802, USA
- Institute for Computational and Data Science, Pennsylvania State University, University Park, PA 16802, USA
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA
- Rock Ethics Institute, Pennsylvania State University, University Park, PA 16802, USA
- Penn State Law, University Park, PA 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Joon-Ho Yu
- Department of Pediatrics and Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Hospital and Research Institute, Seattle, WA 98101, USA
| | - Duana Fullwiley
- Department of Anthropology, Stanford University, Stanford, CA 94305, USA
| | | | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, Scotland
| | - Michael J. Bamshad
- Department of Pediatrics and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Division of Genetic Medicine, Seattle Children’s Hospital, Seattle, WA 98101, USA
| | - Charmaine D. Royal
- Departments of African and African American Studies, Biology, Global Health, and Family Medicine and Community Health, Duke University, Durham, NC 27708, USA
| | - Genetic Ancestry Inference Roundtable Participants
- School of Engineering Design and Innovation, Pennsylvania State University, University Park, PA 16802, USA
- Institute for Computational and Data Science, Pennsylvania State University, University Park, PA 16802, USA
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA
- Rock Ethics Institute, Pennsylvania State University, University Park, PA 16802, USA
- Penn State Law, University Park, PA 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
- Department of Pediatrics and Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Hospital and Research Institute, Seattle, WA 98101, USA
- Department of Anthropology, Stanford University, Stanford, CA 94305, USA
- The DNA Detectives, Dana Point, CA, USA
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, Scotland
- Department of Pediatrics and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Division of Genetic Medicine, Seattle Children’s Hospital, Seattle, WA 98101, USA
- Departments of African and African American Studies, Biology, Global Health, and Family Medicine and Community Health, Duke University, Durham, NC 27708, USA
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Middle eastern genetic legacy in the paternal and maternal gene pools of Chuetas. Sci Rep 2020; 10:21428. [PMID: 33293675 PMCID: PMC7722846 DOI: 10.1038/s41598-020-78487-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 11/19/2020] [Indexed: 11/08/2022] Open
Abstract
Chuetas are a group of descendants of Majorcan Crypto-Jews (Balearic Islands, Spain) who were socially stigmatized and segregated by their Majorcan neighbours until recently; generating a community that, although after the seventeenth century no longer contained Judaic religious elements, maintained strong group cohesion, Jewishness consciousness, and endogamy. Collective memory fixed 15 surnames as a most important defining element of Chueta families. Previous studies demonstrated Chuetas were a differentiated population, with a considerable proportion of their original genetic make-up. Genetic data of Y-chromosome polymorphism and mtDNA control region showed, in Chuetas’ paternal lineages, high prevalence of haplogroups J2-M172 (33%) and J1-M267 (18%). In maternal lineages, the Chuetas hallmark is the presence of a new sub-branching of the rare haplogroup R0a2m as their modal haplogroup (21%). Genetic diversity in both Y-chromosome and mtDNA indicates the Chueta community has managed to avoid the expected heterogeneity decrease in their gene pool after centuries of isolation and inbreeding. Moreover, the composition of their uniparentally transmitted lineages demonstrates a remarkable signature of Middle Eastern ancestry—despite some degree of host admixture—confirming Chuetas have retained over the centuries a considerable degree of ancestral genetic signature along with the cultural memory of their Jewish origin.
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Macaulay V, Soares P, Richards MB. Rectifying long-standing misconceptions about the ρ statistic for molecular dating. PLoS One 2019; 14:e0212311. [PMID: 30779770 PMCID: PMC6380571 DOI: 10.1371/journal.pone.0212311] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 01/19/2019] [Indexed: 01/01/2023] Open
Abstract
When divided by a given mutation rate, the ρ (rho) statistic provides a simple estimator of the age of a clade within a phylogenetic tree by averaging the number of mutations from each sample in the clade to its root. However, a long-standing critique of the use of ρ in genetic dating has been quite often cited. Here we show that the critique is unfounded. We demonstrate by a formal mathematical argument and illustrate with a simulation study that ρ estimates are unbiased and also that ρ and maximum likelihood estimates do not differ in any systematic fashion. We also demonstrate that the claim that the associated confidence intervals commonly estimate the uncertainty inappropriately is flawed since it relies on a means of calculating standard errors that is not used by any other researchers, whereas an established expression for the standard error is largely unproblematic. We conclude that ρ dating, alongside approaches such as maximum likelihood (ML) and Bayesian inference, remains a useful tool for genetic dating.
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Affiliation(s)
- Vincent Macaulay
- School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom
| | - Pedro Soares
- CBMA (Centre of Molecular and Environmental Biology), Department of Biology, University of Minho, Campus de Gualtar, Braga, Portugal
- Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, Braga, Portugal
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, Portugal
- * E-mail:
| | - Martin B. Richards
- Department of Biological Sciences, School of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield, United Kingdom
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Abdikhakimov A, Tukhtaboeva M, Adilov B, Turdikulova S. The Potential Contribution of BRCA Mutations to Early Onset and Familial Breast Cancer in Uzbekistan. Cent Asian J Glob Health 2016; 5:228. [PMID: 29138730 PMCID: PMC5661187 DOI: 10.5195/cajgh.2016.228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Introuduction: Breast cancer is the most common malignancy in women and affects approximately 1 out of 8 females in the US. Risk of developing breast cancer is strongly influenced by genetic factors. Germ-line mutations in BRCA1 and BRCA2 genes are associated with 5–10% of breast cancer incidence. To reduce the risk of developing cancer and to increase the likelihood of early detection, carriers of BRCA1 or BRCA2 mutations are offered surveillance programs and effective preventive medical interventions. Identification of founder mutations of BRCA1/2 in high risk communities can have a significant impact on the management of hereditary cancer at the level of the national healthcare systems, making genetic testing more affordable and cost-effective. BRCA1 and BRCA2 mutations in breast cancer patients have not been characterized in the Uzbek population. This pilot study aimed to investigate the contribution of BRCA1 and BRCA2 mutation to early onset and familial cases of breast cancer in Uzbekistan. Methods: A total of 67 patients with breast cancer and 103 age-matched disease free controls were included in this study. Utilizing SYBR Green based real-time allele-specific PCR, we have analyzed DNA samples of patients with breast cancer and disease free controls to identify the following BRCA1 and BRCA2 mutations: BRCA1 5382insC, BRCA1 4153delA, BRCA1 185delAG, BRCA1 300T>G, BRCA2 6174delT. Results: Three unrelated samples (4.5%) were found to be positive for the heterozygous 5382insCBRCA1 mutation, representing a possible founder mutation in the Uzbek population, supporting the need for larger studies examining the contribution of this mutation to breast cancer incidence in Uzbekistan. We did not find BRCA1 4153delA, BRCA1 185delAG, BRCA1 300T>G, and BRCA2 6174delT mutations. Conclusion: This preliminary evidence suggests a potential contribution of BRCA1 5382insC mutation to breast cancer development in Uzbek population. Taking into account a high disease penetrance in carriers of BRCA1 mutation, it seems reasonable to recommend inclusion of the 5382insC mutation test in future research on the development of screening programs for breast cancer prevention in Uzbekistan.
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Affiliation(s)
- Abdulla Abdikhakimov
- Tashkent Institute of Postgraduate Education, Tashkent Regional Oncological Dispensary
| | - Mukaddas Tukhtaboeva
- Tashkent Institute of Postgraduate Education, Tashkent Regional Oncological Dispensary
| | - Bakhtiyar Adilov
- Center for High Technologies Academy of Sciences Republic of Uzbekistan
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Exploring the maternal history of the Tai people. J Hum Genet 2016; 61:721-9. [PMID: 27098877 DOI: 10.1038/jhg.2016.36] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 03/10/2016] [Accepted: 03/17/2016] [Indexed: 01/04/2023]
Abstract
In the past decades, the Tai people are increasingly being focused by genetic studies. However, a systematic genetic study of the whole Tai people is still lacking, thus making the population structure as well as the demographic history of this group uninvestigated from genetic perspective. Here we extensively analyzed the variants of hypervariable segments I and II (HVS-I and HVS-II) of mitochondrial DNA (mtDNA) of 719 Tai samples from 19 populations, covering virtually all of the current Tai people's residences. We observed a general close genetic affinity of the Tai people, reflecting a common origin of this group. Taken into account the phylogeographic analyses of their shared components, including haplogroups F1a, M7b and B5a, our study supported a southern Yunnan origin of the Tai people, consistent with the historical records. In line with their diverse cultures and languages, substantial genetic divergences can be observed among different Tai populations that could be attributable to assimilation of maternal components from neighboring populations. Our study further implied the advent of rice agriculture in Mainland Southeast Asia at ∼5 kya (kilo years ago) had greatly promoted the population expansion of the Tai people.
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Das R, Wexler P, Pirooznia M, Elhaik E. Localizing Ashkenazic Jews to Primeval Villages in the Ancient Iranian Lands of Ashkenaz. Genome Biol Evol 2016; 8:1132-49. [PMID: 26941229 PMCID: PMC4860683 DOI: 10.1093/gbe/evw046] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/29/2016] [Indexed: 12/11/2022] Open
Abstract
The Yiddish language is over 1,000 years old and incorporates German, Slavic, and Hebrew elements. The prevalent view claims Yiddish has a German origin, whereas the opposing view posits a Slavic origin with strong Iranian and weak Turkic substrata. One of the major difficulties in deciding between these hypotheses is the unknown geographical origin of Yiddish speaking Ashkenazic Jews (AJs). An analysis of 393 Ashkenazic, Iranian, and mountain Jews and over 600 non-Jewish genomes demonstrated that Greeks, Romans, Iranians, and Turks exhibit the highest genetic similarity with AJs. The Geographic Population Structure analysis localized most AJs along major primeval trade routes in northeastern Turkey adjacent to primeval villages with names that may be derived from "Ashkenaz." Iranian and mountain Jews were localized along trade routes on the Turkey's eastern border. Loss of maternal haplogroups was evident in non-Yiddish speaking AJs. Our results suggest that AJs originated from a Slavo-Iranian confederation, which the Jews call "Ashkenazic" (i.e., "Scythian"), though these Jews probably spoke Persian and/or Ossete. This is compatible with linguistic evidence suggesting that Yiddish is a Slavic language created by Irano-Turko-Slavic Jewish merchants along the Silk Roads as a cryptic trade language, spoken only by its originators to gain an advantage in trade. Later, in the 9th century, Yiddish underwent relexification by adopting a new vocabulary that consists of a minority of German and Hebrew and a majority of newly coined Germanoid and Hebroid elements that replaced most of the original Eastern Slavic and Sorbian vocabularies, while keeping the original grammars intact.
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Affiliation(s)
- Ranajit Das
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK Manipal Centre for Natural Sciences (MCNS), Manipal University, Manipal, Karnataka, India
| | - Paul Wexler
- Department of Linguistics, Tel Aviv University, Tel-Aviv, Israel
| | - Mehdi Pirooznia
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University
| | - Eran Elhaik
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK
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Yao YG, Kajigaya S, Young NS. Mitochondrial DNA mutations in single human blood cells. Mutat Res 2015; 779:68-77. [PMID: 26149767 DOI: 10.1016/j.mrfmmm.2015.06.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2015] [Revised: 06/16/2015] [Accepted: 06/18/2015] [Indexed: 01/07/2023]
Abstract
Determination mitochondrial DNA (mtDNA) sequences from extremely small amounts of DNA extracted from tissue of limited amounts and/or degraded samples is frequently employed in medical, forensic, and anthropologic studies. Polymerase chain reaction (PCR) amplification followed by DNA cloning is a routine method, especially to examine heteroplasmy of mtDNA mutations. In this review, we compare the mtDNA mutation patterns detected by three different sequencing strategies. Cloning and sequencing methods that are based on PCR amplification of DNA extracted from either single cells or pooled cells yield a high frequency of mutations, partly due to the artifacts introduced by PCR and/or the DNA cloning process. Direct sequencing of PCR product which has been amplified from DNA in individual cells is able to detect the low levels of mtDNA mutations present within a cell. We further summarize the findings in our recent studies that utilized this single cell method to assay mtDNA mutation patterns in different human blood cells. Our data show that many somatic mutations observed in the end-stage differentiated cells are found in hematopoietic stem cells (HSCs) and progenitors within the CD34(+) cell compartment. Accumulation of mtDNA variations in the individual CD34+ cells is affected by both aging and family genetic background. Granulocytes harbor higher numbers of mutations compared with the other cells, such as CD34(+) cells and lymphocytes. Serial assessment of mtDNA mutations in a population of single CD34(+) cells obtained from the same donor over time suggests stability of some somatic mutations. CD34(+) cell clones from a donor marked by specific mtDNA somatic mutations can be found in the recipient after transplantation. The significance of these findings is discussed in terms of the lineage tracing of HSCs, aging effect on accumulation of mtDNA mutations and the usage of mtDNA sequence in forensic identification.
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Affiliation(s)
- Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan 650223, China.
| | - Sachiko Kajigaya
- Hematology Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA
| | - Neal S Young
- Hematology Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA
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