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Tang J, Chiang CWK. A genealogy-based approach for revealing ancestry-specific structures in admixed populations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.01.10.632475. [PMID: 39868281 PMCID: PMC11761683 DOI: 10.1101/2025.01.10.632475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
Elucidating ancestry-specific structures in admixed populations is crucial for comprehending population history and mitigating confounding effects in genome-wide association studies. Existing methods for elucidating the ancestry-specific structures generally rely on frequency-based estimates of genetic relationship matrix (GRM) among admixed individuals after masking segments from ancestry components not being targeted for investigation. However, these approaches disregard linkage information between markers, potentially limiting their resolution in revealing structure within an ancestry component. We introduce ancestry-specific expected GRM (as-eGRM), a novel framework for elucidating the relatedness within ancestry components between admixed individuals. The key design of as-eGRM consists of defining ancestry-specific pairwise relatedness between individuals based on genealogical trees encoded in the Ancestral Recombination Graph (ARG) and local ancestry calls and computing the expectation of the ancestry-specific relatedness across the genome. Comprehensive evaluations using both simulated stepping-stone models of population structure and empirical datasets based on three-way admixed Latino cohorts showed that analysis based on as-eGRM robustly outperforms existing methods in revealing the structure in admixed populations with diverse demographic histories. Taken together, as-eGRM has the promise to better reveal the fine-scale structure within an ancestry component of admixed individuals, which can help improve the robustness and interpretation of findings from association studies of disease or complex traits for these understudied populations.
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Affiliation(s)
- Ji Tang
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA
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Malomane D, Williams MP, Huber C, Mangul S, Abedalthagafi M, Chiang CWK. Patterns of population structure and genetic variation within the Saudi Arabian population. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.01.10.632500. [PMID: 39868174 PMCID: PMC11761371 DOI: 10.1101/2025.01.10.632500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
The Arabian Peninsula is considered the initial site of historic human migration out of Africa. The modern-day indigenous Arabians are believed to be the descendants who remained from the ancient split of the migrants into Eurasia. Here, we investigated how the population history and cultural practices such as endogamy have shaped the genetic variation of the Saudi Arabians. We genotyped 3,352 individuals and identified twelve genetic sub-clusters that corresponded to the geographical distribution of different tribal regions, differentiated by distinct components of ancestry based on comparisons to modern and ancient DNA references. These sub-clusters also showed variation across ranges of the genome covered in runs of homozygosity, as well as differences in population size changes over time. Using 25,488,981 variants found in whole genome sequencing data (WGS) from 302 individuals, we found that the Saudi tend to show proportionally more deleterious alleles than neutral alleles when compared to Africans/African Americans from gnomAD (e.g. a 13% increase of deleterious alleles annotated by AlphaMissense between 0.5 - 5% frequency in Saudi, compared to 7% decrease of the benign alleles; P < 0.001). Saudi sub-clusters with greater inbreeding and lower effective population sizes showed greater enrichment of deleterious alleles as well. Additionally, we found that approximately 10% of the variants discovered in our WGS data are not observed in gnomAD; these variants are also enriched with deleterious annotations. To accelerate studying the population-enriched deleterious alleles and their health consequences in this population, we made available the allele frequency estimates of 25,488,981 variants discovered in our samples. Taken together, our results suggest that Saudi's population history impacts its pattern of genetic variation with potential consequences to the population health. It further highlights the need to sequence diverse and unique populations so to provide a foundation on which to interpret medical- and pharmaco- genomic findings from these populations.
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Affiliation(s)
- D.K. Malomane
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - M. P. Williams
- Department of Biology, Pennsylvania State University, University Park, PA
| | - C.D. Huber
- Department of Biology, Pennsylvania State University, University Park, PA
| | - S. Mangul
- Titus Department of Clinical Pharmacy, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA
| | - M. Abedalthagafi
- Department of Pathology and Laboratory Medicine, Emory University Hospital, Atlanta, GA
- Genomics Research Department, King Fahad Medical City, Riyadh, Saudi Arabia
| | - C. W. K. Chiang
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA
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Aizpurua-Iraola J, Marí-Cardona E, Barber-Olives M, Comas D, Calafell F. A reduction in effective population size has not relaxed purifying selection in the human population of Eivissa (Balearic Islands). Sci Rep 2025; 15:660. [PMID: 39753655 PMCID: PMC11698950 DOI: 10.1038/s41598-024-84271-w] [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: 07/02/2024] [Accepted: 12/23/2024] [Indexed: 01/06/2025] Open
Abstract
Ibiza (Eivissa) is one of the main Balearic Islands in the western Mediterranean. Recent studies have highlighted the genetic distinctiveness of present-day Eivissans within the region and suggested it could be attributed to the genetic drift caused by recent demographic events. Whether this distinctiveness emerged from a differential demographic history, or rather from a bias for sampling in a small geographic region such as Eivissa, remains an open question, together with the understanding of the functional consequences of demography in the island. In order to clarify these questions and further characterize the distinctiveness of Eivissa within the Balearic and Mediterranean context, we generated whole exome sequences for 31 and 20 individuals from Eivissa and Menorca respectively, a subset of which were also genotyped with the Human Origins array. Our results show that Eivissans present signs of putatively recent genetic isolation that are shared to a lesser extent with Menorca such as more and longer runs of homozygosity and high numbers of intra-population shared IBD segments. Regarding the functional consequences of recent demography, although Eivissans do not present an excess of deleterious alleles or homozygotes comparing to other populations, genetic drift seems to have increased the allele frequencies of neutral and deleterious variants, which can have various medical implications.
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Affiliation(s)
- Julen Aizpurua-Iraola
- Departament de Medicina i Ciències de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Dr. Aiguader 88, Barcelona, 08003, Catalonia, Spain
| | - Elisa Marí-Cardona
- Departament de Medicina i Ciències de la Vida (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Maria Barber-Olives
- Clinical Trials Office, Institut d'Oncologia Vall d'Hebron (VHIO), Barcelona, Spain
| | - David Comas
- Departament de Medicina i Ciències de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Dr. Aiguader 88, Barcelona, 08003, Catalonia, Spain
| | - Francesc Calafell
- Departament de Medicina i Ciències de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Dr. Aiguader 88, Barcelona, 08003, Catalonia, Spain.
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Hovhannisyan A, Delser PM, Hakobyan A, Jones ER, Schraiber JG, Antonosyan M, Margaryan A, Xue Z, Jeon S, Bhak J, Hrechdakian P, Sahakyan H, Saag L, Khachatryan Z, Yepiskoposyan L, Manica A. Demographic history and genetic variation of the Armenian population. Am J Hum Genet 2025; 112:11-27. [PMID: 39591962 PMCID: PMC11739871 DOI: 10.1016/j.ajhg.2024.10.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 10/29/2024] [Accepted: 10/30/2024] [Indexed: 11/28/2024] Open
Abstract
We introduce a sizable (n = 34) whole-genome dataset on Armenians, a population inhabiting the region in West Asia known as the Armenian highlands. Equipped with this genetic data, we conducted a whole-genome study of Armenians and deciphered their fine-scale population structure and complex demographic history. We demonstrated that the Armenian populations from western, central, and eastern parts of the highlands are relatively homogeneous. The Sasun, a population in the south that had been argued to have received a major genetic contribution from Assyrians, was instead shown to have derived its slightly divergent genetic profile from a bottleneck that occurred in the recent past. We also investigated the debated question on the genetic origin of Armenians and failed to find any significant support for historical suggestions by Herodotus of their Balkan-related ancestry. We checked the degree of continuity of modern Armenians with ancient inhabitants of the eastern Armenian highlands and detected a genetic input into the region from a source linked to Neolithic Levantine Farmers at some point after the Early Bronze Age. Additionally, we cataloged an abundance of new mutations unique to the population, including a missense mutation predicted to cause familial Mediterranean fever, an autoinflammatory disorder highly prevalent in Armenians. Thus, we highlight the importance of further genetic and medical studies of this population.
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Affiliation(s)
- Anahit Hovhannisyan
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin D02 PN40, Ireland; Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK; Institute of Molecular Biology, National Academy of Sciences, Yerevan 0014, Armenia; Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia.
| | - Pierpaolo Maisano Delser
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin D02 PN40, Ireland; Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - Anna Hakobyan
- Institute of Molecular Biology, National Academy of Sciences, Yerevan 0014, Armenia; Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, 1030 Vienna, Austria
| | - Eppie R Jones
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin D02 PN40, Ireland; Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - Joshua G Schraiber
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90018, USA
| | - Mariya Antonosyan
- Institute of Molecular Biology, National Academy of Sciences, Yerevan 0014, Armenia; Max Planck Institute of Geoanthropology, 07745 Jena, Germany
| | - Ashot Margaryan
- Institute of Molecular Biology, National Academy of Sciences, Yerevan 0014, Armenia; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Zhe Xue
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - Sungwon Jeon
- Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Uslan 44919, Republic of Korea; Clinomics Inc., Ulsan 44919, Republic of Korea
| | - Jong Bhak
- Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Uslan 44919, Republic of Korea; Clinomics Inc., Ulsan 44919, Republic of Korea
| | | | - Hovhannes Sahakyan
- Institute of Molecular Biology, National Academy of Sciences, Yerevan 0014, Armenia; Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Lehti Saag
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Zaruhi Khachatryan
- Institute of Molecular Biology, National Academy of Sciences, Yerevan 0014, Armenia
| | - Levon Yepiskoposyan
- Institute of Molecular Biology, National Academy of Sciences, Yerevan 0014, Armenia.
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
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Errigo A, Dore MP, Mocci G, Pes GM. Lack of association between common polymorphisms associated with successful aging and longevity in the population of Sardinian Blue Zone. Sci Rep 2024; 14:30773. [PMID: 39730495 DOI: 10.1038/s41598-024-80497-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 11/19/2024] [Indexed: 12/29/2024] Open
Abstract
More than two decades ago, in the central-eastern region of the Mediterranean island of Sardinia, a mountain area was identified where the population displays exceptional longevity, especially among men (the Longevity Blue Zone, LBZ). This community was thoroughly investigated to understand the underlying causes of the phenomenon. The present study analyzed 11 genetic markers previously associated with increased survival in several long-lived populations. APOE (rs429358 and rs7412), APOE promoter (rs449647, rs769446, and rs405509), ACE1 (rs1799752), IL6 ‒174G/C (rs1800795), TNFα ‒308G/A (rs1800629), FOXO3A (rs2802292), KLOTHO (rs9536314) and G6PD (rs5030868) polymorphisms were investigated. PCR-based genotyping was performed following genomic DNA extraction from 150 nonagenarians living in the LBZ and 150 controls from a nearby area. No significant deviation in the frequency of the analyzed markers was detected between the two subgroups except for a weak association with the - 174G > C gene variant in the IL-6 gene (p = 0.040), which codes for a major modulator of the inflammatory response. Overall, the findings of this study do not support a significant association of known genetic variants on survival in the population of the Sardinian LBZ, suggesting that other genetic or epigenetic traits not yet identified might play a role.
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Affiliation(s)
- Alessandra Errigo
- Dipartimento di Medicina, Chirurgia e Farmacia, University of Sassari, Viale San Pietro 43, Sassari, 07100, Italy
| | - Maria Pina Dore
- Dipartimento di Medicina, Chirurgia e Farmacia, University of Sassari, Viale San Pietro 43, Sassari, 07100, Italy
- Baylor College of Medicine, One Baylor Plaza Blvd, Houston, TX, 77030, USA
| | - Giammarco Mocci
- Division of Gastroenterology, "Brotzu" Hospital, Cagliari, Italy
| | - Giovanni Mario Pes
- Dipartimento di Medicina, Chirurgia e Farmacia, University of Sassari, Viale San Pietro 43, Sassari, 07100, Italy.
- Sardinia Longevity Blue Zone Observatory, Ogliastra, 08040, Italy.
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Nieves-Colón MA, Ulrich EC, Chen L, Torres Colón GA, Clemente MR, Copi LCPSI, Benn Torres J. Genetic ancestry in Puerto Rican afro-descendants illustrates diverse histories of African diasporic populations. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2024; 185:e25029. [PMID: 39305067 DOI: 10.1002/ajpa.25029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 08/27/2024] [Accepted: 09/05/2024] [Indexed: 10/23/2024]
Abstract
OBJECTIVES Genetic studies of contemporary Puerto Ricans reflect a demographic history characterized by admixture between Indigenous American, African, and European peoples. While previous studies provide genetic perspectives on the general Puerto Rican population, less is known about the island's sub-populations, specifically Afro-Puerto Ricans. MATERIALS AND METHODS In this study, the genetic ancestry of Afro-Puerto Ricans is characterized and compared to other Caribbean populations. Thirty DNA samples collected among self-identified Puerto Ricans of African descent in Loíza (n = 2), Piñones (n = 13), San Juan (n = 2), Mayagüez (n = 9), and Ponce (n = 4), were genotyped at 750,000 loci on the National Geographic Genochip. We then applied unsupervised clustering and dimensionality-reduction methods to detect continental and subcontinental African and European genetic ancestry patterns. RESULTS Admixture analyses reveal that on average, the largest genetic ancestry component for Afro-Puerto Ricans is African in origin, followed by European and Indigenous American genetic ancestry components. African biogeographic origins of Afro-Puerto Ricans align most closely with contemporary peoples of Lower Guinea and the Bight of Biafra, while the European genetic ancestry component is most similar to contemporary Iberian, Italian, and Basque populations. These findings contrast with the biogeographic origins of comparative Barbadian and Puerto Rican populations. DISCUSSION Our results suggest that while there are similarities with regard to general patterns of genetic ancestry among African descendants in the Caribbean, there is previously unrecognized regional heterogeneity, including among Puerto Rican sub-populations. These results are also consistent with available historical sources, while providing depth absent from the documentary record, particularly with regard to African ancestry.
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Affiliation(s)
- Maria A Nieves-Colón
- Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
| | - Emma C Ulrich
- Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
| | - Lijuan Chen
- Department of Anthropology, Genetic Anthropology and Biocultural Studies Laboratory, Vanderbilt University, Nashville, Tennessee, USA
| | - Gabriel A Torres Colón
- Department of Anthropology, Genetic Anthropology and Biocultural Studies Laboratory, Vanderbilt University, Nashville, Tennessee, USA
| | | | | | - Jada Benn Torres
- Department of Anthropology, Genetic Anthropology and Biocultural Studies Laboratory, Vanderbilt University, Nashville, Tennessee, USA
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA
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Bánfai Z, Büki G, Ádám V, Sümegi K, Szabó A, Hadzsiev K, Erős K, Gallyas F, Miseta A, Kásler M, Melegh B. Analysis of Gyimes Csango population samples on a high-resolution genome-wide basis. BMC Genomics 2024; 25:942. [PMID: 39375616 PMCID: PMC11459897 DOI: 10.1186/s12864-024-10833-x] [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: 03/28/2024] [Accepted: 09/24/2024] [Indexed: 10/09/2024] Open
Abstract
BACKGROUND The Csangos are an East-Central European ethnographic group living mainly in east of Transylvania in Romania. Traditionally, ethnography distinguishes three Csango subpopulations, the Moldavian, Gyimes and Burzenland Csangos. In our previous study we found that the Moldavian Csangos have East Asian/Siberian Turkic ancestry components that might be unique in the East-Central European region and might help to better understand the history of Hungarian speaking ethnic groups of the area. Since then, we obtained further Csango samples from Moldavia and from a distinct region of Gyimes, which two Csango subgroups are traditionally different since they live in a degree of isolation not only from other people but also from each other. Here we present the first genomic analysis of Gyimes Csangos, which intended to compare the genetic makeup of these two Csango subgroups using both allele-frequency and haplotype-based methods. The main goal of the study was to investigate the genetic isolation of the Csangos on a genome-wide SNP basis and to assess the isolation of Gyimes Csangos, which in contrast to the Moldavians was not yet studied. RESULTS Our results show that these two Csango groups show slight differences from each other. We confirmed the genetic isolation of Moldavian Csangos and revealed that Gyimes Csangos have a similar, but detectably weaker isolation. In the case of Gyimes Csangos we detected also a stronger East European or presumably Asian derived ancestry. CONCLUSION The Gyimes Csangos show a degree of genetic isolation comparable to that of the Moldavians. The Asian ancestry that differentiates the Moldavian Csango people from the other East-Central European populations may be present in the Gyimes Csangos in an even higher degree, since Gyimes Csango individuals show a more significant share from that ancestry component.
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Affiliation(s)
- Zsolt Bánfai
- Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary.
| | - Gergely Büki
- Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary
| | - Valerián Ádám
- Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary
| | - Katalin Sümegi
- Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary
- Department of Biochemistry and Medical Chemistry, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary
| | - András Szabó
- Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary
| | - Kinga Hadzsiev
- Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary
| | - Krisztián Erős
- Department of Biochemistry and Medical Chemistry, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary
| | - Ferenc Gallyas
- Department of Biochemistry and Medical Chemistry, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary
| | - Attila Miseta
- Department of Laboratory Medicine, Medical School, University of Pécs, Ifjúság út 13, Pécs, H-7624, Hungary
| | - Miklós Kásler
- Institute of Hungarian Research, Andrássy út 64, Budapest, H-1062, Hungary
| | - Béla Melegh
- Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, Pécs, H-7624, Hungary.
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Zhao Q, Liu R, Chen H, Yang X, Dong J, Bai M, Yu M, Feng Z, Zeng D. Higher Circulating Lymphocytes and the Incidence of Pre-eclampsia and Eclampsia. J Pregnancy 2024; 2024:8834312. [PMID: 38532947 PMCID: PMC10965280 DOI: 10.1155/2024/8834312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 01/05/2024] [Accepted: 01/24/2024] [Indexed: 03/28/2024] Open
Abstract
Excessive immune activation contributes to the onset of early dysfunction of the maternal-fetal interface, and it is closely linked to the development of pre-eclampsia. However, the effect of specific immune cells on the risk of pre-eclampsia and eclampsia remains controversial. We investigated the causal relationship between immune cells and pre-eclampsia and eclampsia. For exposure, we extracted genetic variants associated with immune cell-related traits, and for outcomes, we used summary genetic data of pre-eclampsia/eclampsia. A two-sample Mendelian randomization (MR) analysis was then performed to assess the causal relationship. Robustness of the MR results was then evaluated through colocalization analysis. We found that genetically proxied circulating lymphocyte absolute count was causally associated with total eclampsia (odds ratio (OR) = 1.53, 95% confidence interval (CI) (1.31-1.79), p = 1.15E - 07) and pre-eclampsia (OR = 1.50, 95% CI (1.28-1.77), p = 9.18E - 07); T cell absolute count was causally associated with total eclampsia (OR = 1.49, 95% CI (1.28-1.73), p = 2.73E - 07) and pre-eclampsia (OR = 1.47, 95% CI (1.25-1.72), p = 1.76E - 06). And CD28- CD25+ CD8+ T cell absolute count was causally associated with total eclampsia (OR = 1.83, 95% CI (1.44-2.32), p = 7.11E - 07) and pre-eclampsia (OR = 1.77, 95% CI (1.38-2.26), p = 6.55E - 06). Colocalization analysis revealed that immune cell-related traits shared the same variant with pre-eclampsia/eclampsia. Our study suggested causal effects of genetic predisposition to high lymphocyte absolute count levels, T cell absolute count, and CD28- CD25+ CD8+ T cell absolute count on eclampsia, particularly pre-eclampsia risk, providing crucial new insights into the potential prevention target for eclampsia and pre-eclampsia.
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Affiliation(s)
- Qiuping Zhao
- Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China
| | - Rongmei Liu
- Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China
| | - Hui Chen
- Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China
| | - Xiaomo Yang
- Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China
| | - Jiajia Dong
- Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China
| | - Minfu Bai
- Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China
| | - MingYang Yu
- Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China
| | - Zeying Feng
- Department of Gynecology and Obstetrics, Guangxi Clinical Research Center for Obstetrics and Gynecology, Liuzhou Key Laboratory of Gynecologic Oncology, Liuzhou Hospital, Guangzhou Women and Children's Medical Center, Liuzhou, Guangxi, China
| | - Dingyuan Zeng
- Department of Gynecology and Obstetrics, Guangxi Clinical Research Center for Obstetrics and Gynecology, Liuzhou Key Laboratory of Gynecologic Oncology, Liuzhou Hospital, Guangzhou Women and Children's Medical Center, Liuzhou, Guangxi, China
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9
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Gilbert E, Zurel H, MacMillan ME, Demiriz S, Mirhendi S, Merrigan M, O'Reilly S, Molloy AM, Brody LC, Bodmer W, Leach RA, Scott REM, Mugford G, Randhawa R, Stephens JC, Symington AL, Cavalleri GL, Phillips MS. The Newfoundland and Labrador mosaic founder population descends from an Irish and British diaspora from 300 years ago. Commun Biol 2023; 6:469. [PMID: 37117635 PMCID: PMC10147672 DOI: 10.1038/s42003-023-04844-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 03/28/2023] [Indexed: 04/30/2023] Open
Abstract
The founder population of Newfoundland and Labrador (NL) is a unique genetic resource, in part due to its geographic and cultural isolation, where historical records describe a migration of European settlers, primarily from Ireland and England, to NL in the 18th and 19th centuries. Whilst its historical isolation, and increased prevalence of certain monogenic disorders are well appreciated, details of the fine-scale genetic structure and ancestry of the population are lacking. Understanding the genetic origins and background of functional, disease causing, genetic variants would aid genetic mapping efforts in the Province. Here, we leverage dense genome-wide SNP data on 1,807 NL individuals to reveal fine-scale genetic structure in NL that is clustered around coastal communities and correlated with Christian denomination. We show that the majority of NL European ancestry can be traced back to the south-east and south-west of Ireland and England, respectively. We date a substantial population size bottleneck approximately 10-15 generations ago in NL, associated with increased haplotype sharing and autozygosity. Our results reveal insights into the population history of NL and demonstrate evidence of a population conducive to further genetic studies and biomarker discovery.
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Affiliation(s)
- Edmund Gilbert
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland.
- FutureNeuro SFI Research Centre, Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - Heather Zurel
- Sequence Bioinformatics, Inc., St. John's, Newfoundland and Labrador, Canada
| | | | - Sedat Demiriz
- Sequence Bioinformatics, Inc., St. John's, Newfoundland and Labrador, Canada
| | - Sadra Mirhendi
- Sequence Bioinformatics, Inc., St. John's, Newfoundland and Labrador, Canada
| | | | | | - Anne M Molloy
- School of Medicine, Trinity College, Dublin, Ireland
| | - Lawrence C Brody
- Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Walter Bodmer
- Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford, UK
| | - Richard A Leach
- Sequence Bioinformatics, Inc., St. John's, Newfoundland and Labrador, Canada
| | - Roderick E M Scott
- Sequence Bioinformatics, Inc., St. John's, Newfoundland and Labrador, Canada
| | - Gerald Mugford
- Sequence Bioinformatics, Inc., St. John's, Newfoundland and Labrador, Canada
| | - Ranjit Randhawa
- Sequence Bioinformatics, Inc., St. John's, Newfoundland and Labrador, Canada
| | | | - Alison L Symington
- Sequence Bioinformatics, Inc., St. John's, Newfoundland and Labrador, Canada
| | - Gianpiero L Cavalleri
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
- FutureNeuro SFI Research Centre, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Michael S Phillips
- Sequence Bioinformatics, Inc., St. John's, Newfoundland and Labrador, Canada
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10
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Zajac GJM, Gagliano Taliun SA, Sidore C, Graham SE, Åsvold BO, Brumpton B, Nielsen JB, Zhou W, Gabrielsen M, Skogholt AH, Fritsche LG, Schlessinger D, Cucca F, Hveem K, Willer CJ, Abecasis GR. A fast linkage method for population GWAS cohorts with related individuals. Genet Epidemiol 2023; 47:231-248. [PMID: 36739617 PMCID: PMC10027464 DOI: 10.1002/gepi.22516] [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: 07/19/2022] [Revised: 10/27/2022] [Accepted: 01/24/2023] [Indexed: 02/07/2023]
Abstract
Linkage analysis, a class of methods for detecting co-segregation of genomic segments and traits in families, was used to map disease-causing genes for decades before genotyping arrays and dense SNP genotyping enabled genome-wide association studies in population samples. Population samples often contain related individuals, but the segregation of alleles within families is rarely used because traditional linkage methods are computationally inefficient for larger datasets. Here, we describe Population Linkage, a novel application of Haseman-Elston regression as a method of moments estimator of variance components and their standard errors. We achieve additional computational efficiency by using modern methods for detection of IBD segments and variance component estimation, efficient preprocessing of input data, and minimizing redundant numerical calculations. We also refined variance component models to account for the biases in population-scale methods for IBD segment detection. We ran Population Linkage on four blood lipid traits in over 70,000 individuals from the HUNT and SardiNIA studies, successfully detecting 25 known genetic signals. One notable linkage signal that appeared in both was for low-density lipoprotein (LDL) cholesterol levels in the region near the gene APOE (LOD = 29.3, variance explained = 4.1%). This is the region where the missense variants rs7412 and rs429358, which together make up the ε2, ε3, and ε4 alleles each account for 2.4% and 0.8% of variation in circulating LDL cholesterol. Our results show the potential for linkage analysis and other large-scale applications of method of moments variance components estimation.
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Affiliation(s)
- Gregory JM Zajac
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI
| | - Sarah A Gagliano Taliun
- Department of Medicine and Department of Neurosciences, Université de Montréal, Montréal, QC H3T 1J4, Canada
- Montréal Heart Institute, Montréal, QC H1T 1C8, Canada
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica - CNR, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Sarah E Graham
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI
| | - Bjørn Olav Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger 7600, Norway
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger 7600, Norway
- Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Jonas B Nielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Wei Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Maiken Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Lars G Fritsche
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI
| | | | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica - CNR, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger 7600, Norway
- Department of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger 7600, Norway
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI
- Department of Human Genetics, University of Michigan, Ann Arbor, MI
| | - Gonçalo R Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI
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11
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Soloski MJ, Poulain M, Pes GM. Does the trained immune system play an important role in the extreme longevity that is seen in the Sardinian blue zone? FRONTIERS IN AGING 2022; 3:1069415. [PMID: 36601618 PMCID: PMC9806115 DOI: 10.3389/fragi.2022.1069415] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022]
Abstract
Villages in the island of Sardinia in the Mediterranean that display exceptional longevity are clustered within a defined mountainous region. Because of their unique location we hypothesize that these villages had a unique infectious disease exposure relevant to the observed successful longevity. These highland villages had a significant exposure to malaria in the first half of the 20th century after which malaria was eliminated due to vector control mechanisms. In addition, there is likely a high incidence of Helicobacter pylori infections among shepherds in Sardinia, the primary occupation of many living in the LBZ, as well as helminth infections among children. This suggests that individuals living in the LBZ had a unique infectious disease exposure. Specifically, we hypothesize that the continued high exposure of residents in the LBZ to these infectious agents prior to the 1950s lead to the generation of a uniquely trained (or imprinted) immune system. Once some of these diseases were eliminated in the latter half of the century, individuals within the LBZ were equipped with a trained immune system that was uniquely capable of not only responding effectively to common infections but also responding in a manner that maximized maintaining tissue health. In addition, there are lifestyle factors that also favor such a trained immune system. This hypothesis may help explain the slow progression of chronic immune mediated diseases as well as other chronic non-transmissible age-related diseases seen in the Sardinian LBZ and serve as a template for future studies that support or refute this hypothesis.
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Affiliation(s)
- Mark J. Soloski
- Division of Rheumatology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States,*Correspondence: Mark J. Soloski,
| | - Michel Poulain
- IACCHOS Université Catholique de Louvain, Estonian Institute for Population Studies, Tallinn University, Tallinn, Estonia
| | - Giovanni M. Pes
- Dipartimento di Medicina, Chirurgia e Farmacia, University of Sassari, Sassari, Italy
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12
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Idda ML, Zoledziewska M, Urru SAM, McInnes G, Bilotta A, Nuvoli V, Lodde V, Orrù S, Schlessinger D, Cucca F, Floris M. Genetic Variation among Pharmacogenes in the Sardinian Population. Int J Mol Sci 2022; 23:10058. [PMID: 36077453 PMCID: PMC9456055 DOI: 10.3390/ijms231710058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/25/2022] [Accepted: 08/29/2022] [Indexed: 11/22/2022] Open
Abstract
Pharmacogenetics (PGx) aims to identify the genetic factors that determine inter-individual differences in response to drug treatment maximizing efficacy while decreasing the risk of adverse events. Estimating the prevalence of PGx variants involved in drug response, is a critical preparatory step for large-scale implementation of a personalized medicine program in a target population. Here, we profiled pharmacogenetic variation in fourteen clinically relevant genes in a representative sample set of 1577 unrelated sequenced Sardinians, an ancient island population that accounts for genetic variation in Europe as a whole, and, at the same time is enriched in genetic variants that are very rare elsewhere. To this end, we used PGxPOP, a PGx allele caller based on the guidelines created by the Clinical Pharmacogenetics Implementation Consortium (CPIC), to identify the main phenotypes associated with the PGx alleles most represented in Sardinians. We estimated that 99.43% of Sardinian individuals might potentially respond atypically to at least one drug, that on average each individual is expected to have an abnormal response to about 17 drugs, and that for 27 drugs the fraction of the population at risk of atypical responses to therapy is more than 40%. Finally, we identified 174 pharmacogenetic variants for which the minor allele frequency was at least 10% higher among Sardinians as compared to other European populations, a fact that may contribute to substantial interpopulation variability in drug response phenotypes. This study provides baseline information for further large-scale pharmacogenomic investigations in the Sardinian population and underlines the importance of PGx characterization of diverse European populations, such as Sardinians.
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Affiliation(s)
- Maria Laura Idda
- Institute for Genetic and Biomedical Research, National Research Council, 07100 Sassari, Italy
| | - Magdalena Zoledziewska
- Institute for Genetic and Biomedical Research, National Research Council, 09042 Monserrato, Italy
| | - Silvana Anna Maria Urru
- Hospital Pharmacy Unit, Trento General Hospital, Autonomous Province of Trento, 38122 Trento, Italy
- Department of Chemistry and Pharmacy, School of Hospital Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Gregory McInnes
- Biomedical Informatics Training Program, Stanford University, Stanford, CA 94305, USA
| | - Alice Bilotta
- Department of Biomedical Sciences, School of Medicine, University of Sassari, 07100 Sassari, Italy
| | - Viola Nuvoli
- Department of Biomedical Sciences, School of Medicine, University of Sassari, 07100 Sassari, Italy
| | - Valeria Lodde
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Sandro Orrù
- Medical Genetics, Department of Medical Sciences and Public Health, University of Cagliari, 09126 Cagliari, Italy
| | - David Schlessinger
- Laboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Francesco Cucca
- Institute for Genetic and Biomedical Research, National Research Council, 09042 Monserrato, Italy
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Matteo Floris
- Institute for Genetic and Biomedical Research, National Research Council, 07100 Sassari, Italy
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
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13
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Bussu F, Muresu N, Crescio C, Gallus R, Rizzo D, Cossu A, Sechi I, Fedeli M, Cossu A, Delogu G, Piana A. Low Prevalence of HPV Related Oropharyngeal Carcinogenesis in Northern Sardinia. Cancers (Basel) 2022; 14:cancers14174205. [PMID: 36077741 PMCID: PMC9454854 DOI: 10.3390/cancers14174205] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 08/28/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022] Open
Abstract
HPV infection is a clear etiopathogenetic factor in oropharyngeal carcinogenesis and is associated with a markedly better prognosis than in smoking- and alcohol-associated cases, as specified by AJCC classification. The aim of the present work is to evaluate the prevalence of HPV-induced OPSCC in an insular area in the Mediterranean and to assess the reliability of p16 IHC (immunohistochemistry) alone, as accepted by AJCC, in the diagnosis of HPV-driven carcinogenesis in such a setting. All patients with OPSCC consecutively managed by the referral center in North Sardinia of head and neck tumor board of AOU Sassari, were recruited. Diagnosis of HPV-related OPCSS was carried out combining p16 IHC and DNA testing on FFPE samples and compared with the results of p16 IHC alone. Roughly 14% (9/62) of cases were positive for HPV-DNA and p16 IHC. Three more cases showed overexpression of p16, which has a 100% sensitivity, but only 75% specificity as standalone method for diagnosing HPV-driven carcinogenesis. The Cohen’s kappa coefficient of p16 IHC alone is 0.83 (excellent). However, if HPV-driven carcinogenesis diagnosed by p16 IHC alone was considered the criterion for treatment deintensification, 25% of p16 positive cases would have been wrongly submitted to deintensified treatment for tumors as aggressive as a p16 negative OPSCC. The currently accepted standard by AJCC (p16 IHC alone) harbors a high rate of false positive results, which appears risky for recommending treatment deintensification, and for this aim, in areas with a low prevalence of HPV-related OPSCC, it should be confirmed with HPV nucleic acid detection.
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Affiliation(s)
- Francesco Bussu
- Department of Medicine, Surgery and Pharmacy, University of Sassari-ENT Division, AOU Sassari, 07100 Sassari, Italy
| | - Narcisa Muresu
- Department of Humanities and Social Sciences, University of Sassari, 07100 Sassari, Italy
| | - Claudia Crescio
- Otolaryngology Division, Azienda Ospedaliera Universitaria, 07100 Sassari, Italy
- Correspondence: ; Tel.: +39-079-228-552
| | - Roberto Gallus
- Otolaryngology, Mater Olbia Hospital, 07026 Olbia, Italy
| | - Davide Rizzo
- Department of Medicine, Surgery and Pharmacy, University of Sassari-ENT Division, AOU Sassari, 07100 Sassari, Italy
| | - Andrea Cossu
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Illari Sechi
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Mariantonietta Fedeli
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Antonio Cossu
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Giovanni Delogu
- Facoltà di Medicina e Chirurgia, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Andrea Piana
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
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14
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Floris M, Pira G, Castiglia P, Idda M, Steri M, De Miglio M, Piana A, Cossu A, Azara A, Arru C, Deiana G, Putzu C, Sanna V, Carru C, Serra A, Bisail M, Muroni M. Impact on breast cancer susceptibility and clinicopathological traits of common genetic polymorphisms in TP53, MDM2 and ATM genes in Sardinian women. Oncol Lett 2022; 24:331. [PMID: 36039053 PMCID: PMC9404703 DOI: 10.3892/ol.2022.13451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 06/22/2022] [Indexed: 11/06/2022] Open
Abstract
Common variants of genes involved in DNA damage correction [tumor protein p53 (TP53), murine double 2 homolog oncoprotein (MDM2) and ataxia-telengiectasia mutated (ATM)] may serve a role in cancer predisposition. The purpose of the present study was to investigate the association of five variants in these genes with breast cancer risk and clinicopathological traits in a cohort of 261 women from northern Sardinia. Polymorphic variants in TP53 (rs17878362, rs1042522 and rs1625895), MDM2 (rs2279744) and ATM (rs1799757) were determined by PCR and TaqMan single nucleotide polymorphism assay in patients with breast cancer (n=136) and healthy controls (n=125). Association with clinicopathological (e.g., age at diagnosis, lymph node involvement, clinical stage) and lifestyle factors (e.g., smoking status, alcohol intake, contraceptive use) was also evaluated. TP53 rs17878362 and rs1625895 polymorphisms were associated with decreased risk of BC diagnosis in patients older than 50 years (codominant and recessive models) and post-menopause (recessive model). Furthermore, there was a significant association between lymph node status (positive vs. negative) and ATM rs1799757-delT in dominant and additive models and between MDM2 rs2279744-allele and use of oral contraceptives. This analysis suggested that TP53 rs17878362 and rs1625895 may affect age of onset of breast cancer and ATM rs1799757 and MDM2 rs2279744 may be associated with lymph node status and prolonged use of oral contraceptives, respectively.
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Affiliation(s)
- Matteo Floris
- Department of Biomedical Sciences, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Giovanna Pira
- Department of Biomedical Sciences, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Paolo Castiglia
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Maria Idda
- Institute for Genetic and Biomedical Research, National Research Council, Monserrato, Cagliari, I-09121 Sardinia, Italy
| | - Maristella Steri
- Institute for Genetic and Biomedical Research, National Research Council, Monserrato, Cagliari, I-09121 Sardinia, Italy
| | - Maria De Miglio
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Andrea Piana
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Andrea Cossu
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Antonio Azara
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Caterina Arru
- Department of Biomedical Sciences, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Giovanna Deiana
- Department of Biomedical Sciences, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Carlo Putzu
- Division of Medical Oncology, Azienda Ospedaliera Universitaria, Sassari, I-07100 Sardinia, Italy
| | - Valeria Sanna
- Division of Medical Oncology, Azienda Ospedaliera Universitaria, Sassari, I-07100 Sardinia, Italy
| | - Ciriaco Carru
- Department of Biomedical Sciences, Surgery and Pharmacy, University of Sassari, Sassari, I-07100 Sardinia, Italy
| | - Antonello Serra
- Unit of Occupational Medicine, Azienda Ospedaliera Universitaria, Sassari, I-07100 Sardinia, Italy
| | - Marco Bisail
- Lega Italiana per la Lotta contro i Tumori, Sassari, I-07100 Sardinia, Italy
| | - Maria Muroni
- Institute for Genetic and Biomedical Research, National Research Council, Monserrato, Cagliari, I-09121 Sardinia, Italy
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15
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He D, Liu L, Shen D, Zou P, Cui L. The Effect of Peripheral Immune Cell Counts on the Risk of Multiple Sclerosis: A Mendelian Randomization Study. Front Immunol 2022; 13:867693. [PMID: 35619713 PMCID: PMC9128528 DOI: 10.3389/fimmu.2022.867693] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Multiple sclerosis (MS) is a complex central nervous system (CNS) demyelinating disease, the etiology of which involves the interplay between genetic and environmental factors. We aimed to determine whether genetically predicted peripheral immune cell counts may have a causal effect on MS. Methods We used genetic variants strongly associated with cell counts of circulating leukocyte, lymphocyte, monocyte, neutrophil, eosinophil, and basophil, in addition to some subpopulations of T and B lymphocyte, as instrumental variables (IVs) to perform Mendelian randomization (MR) analyses. The effect of immune cell counts on MS risk was measured using the summary statistics from the International Multiple Sclerosis Genetics Consortium (IMSGC) genome-wide association studies (GWAS). Results Our findings indicated that higher leucocyte count [odds ratio (OR), 1.24; 95% confidence interval (CI), 1.07 - 1.43; p = 0.0039] and lymphocyte count (OR, 1.17; 95% CI, 1.01 – 1.35; p = 0.0317) were causally associated with MS susceptibility. In addition, we also found that increase of genetically predicted natural killer T (NKT) cell count is also associated with an increase MS risk (OR, 1.24; 95% CI, 1.06 - 1.45; p = 0.0082). Conclusions These findings show that the genetic predisposition to higher peripheral immune cell counts can exert a causal effect on MS risk, which confirms the crucial role played by peripheral immunity in MS. Particularly, the causal association between NKT cell count and MS underscores the relevance of exploring the functional roles of NKT cells in disease pathogenesis in future.
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Affiliation(s)
- Di He
- Department of Neurology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
| | - Liyang Liu
- Peking Union Medical College M.D. Program, Peking Union Medical College, Beijing, China
| | - Dongchao Shen
- Department of Neurology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
| | - Peng Zou
- Department of Cardiac Surgery, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Liying Cui
- Department of Neurology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China.,Neuroscience Center, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS), Beijing, China
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16
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Role of Uncoupling Protein 2 Gene Polymorphisms on the Risk of Ischemic Stroke in a Sardinian Population. Life (Basel) 2022; 12:life12050721. [PMID: 35629388 PMCID: PMC9147365 DOI: 10.3390/life12050721] [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: 03/29/2022] [Revised: 05/02/2022] [Accepted: 05/09/2022] [Indexed: 12/05/2022] Open
Abstract
The mitochondrial uncoupling protein 2 (UCP2) acts as an anion transporter and as an antioxidant factor able to reduce the reactive oxygen species level. Based on its effects, UCP2 prevents the membrane lipids, proteins, and DNA damage while preserving normal cellular functions. Many variants have been identified within the human UCP2. Some of them were associated with a higher risk of obesity, diabetes and cardiovascular diseases in different populations. UCP2 appears a suitable candidate also for the risk of ischemic stroke. In the current study, we investigated the possible association between few variants of UCP2 (rs659366, rs660339, rs1554995310) and the risk of ischemic stroke in a genetically homogenous cohort of cases and controls selected in Sardinia Island. This population has been previously analysed for other candidate genes. A total of 250 cases of ischemic stroke and 241 controls were enrolled in the study. The allelic/genotypic distribution of the 3 UCP2 variants was characterized and compared among cases and controls. The results of our study confirmed known risk factors for ischemic stroke: age, history of smoking, hypertension, hypercholesterolemia, and atrial fibrillation. No association was found between the 3 UCP2 variants and the risk of ischemic stroke in our Sardinian cohort.
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17
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Mocci S, Littera R, Tranquilli S, Provenzano A, Mascia A, Cannas F, Lai S, Giuressi E, Chessa L, Angioni G, Campagna M, Firinu D, Del Zompo M, La Nasa G, Perra A, Giglio S. A Protective HLA Extended Haplotype Outweighs the Major COVID-19 Risk Factor Inherited From Neanderthals in the Sardinian Population. Front Immunol 2022; 13:891147. [PMID: 35514995 PMCID: PMC9063452 DOI: 10.3389/fimmu.2022.891147] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 03/24/2022] [Indexed: 11/13/2022] Open
Abstract
Sardinia has one of the lowest incidences of hospitalization and related mortality in Europe and yet a very high frequency of the Neanderthal risk locus variant on chromosome 3 (rs35044562), considered to be a major risk factor for a severe SARS-CoV-2 disease course. We evaluated 358 SARS-CoV-2 patients and 314 healthy Sardinian controls. One hundred and twenty patients were asymptomatic, 90 were pauci-symptomatic, 108 presented a moderate disease course and 40 were severely ill. All patients were analyzed for the Neanderthal-derived genetic variants reported as being protective (rs1156361) or causative (rs35044562) for severe illness. The β°39 C>T Thalassemia variant (rs11549407), HLA haplotypes, KIR genes, KIRs and their HLA class I ligand combinations were also investigated. Our findings revealed an increased risk for severe disease in Sardinian patients carrying the rs35044562 high risk variant [OR 5.32 (95% CI 2.53 - 12.01), p = 0.000]. Conversely, the protective effect of the HLA-A*02:01, B*18:01, DRB*03:01 three-loci extended haplotype in the Sardinian population was shown to efficiently contrast the high risk of a severe and devastating outcome of the infection predicted for carriers of the Neanderthal locus [OR 15.47 (95% CI 5.8 - 41.0), p < 0.0001]. This result suggests that the balance between risk and protective immunogenetic factors plays an important role in the evolution of COVID-19. A better understanding of these mechanisms may well turn out to be the biggest advantage in the race for the development of more efficient drugs and vaccines.
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Affiliation(s)
- Stefano Mocci
- Medical Genetics Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Roberto Littera
- Medical Genetics Unit, R. Binaghi Hospital, Local Public Health and Social Care Unit (ASSL) of Cagliari, Cagliari, Italy.,Association for the Advancement of Research on Transplantation O.d.V., Non Profit Organisation, Cagliari, Italy
| | - Stefania Tranquilli
- Medical Genetics Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Aldesia Provenzano
- Medical Genetics Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Alessia Mascia
- Medical Genetics Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Federica Cannas
- Medical Genetics Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Sara Lai
- Medical Genetics Unit, R. Binaghi Hospital, Local Public Health and Social Care Unit (ASSL) of Cagliari, Cagliari, Italy
| | - Erika Giuressi
- Medical Genetics Unit, R. Binaghi Hospital, Local Public Health and Social Care Unit (ASSL) of Cagliari, Cagliari, Italy
| | - Luchino Chessa
- Association for the Advancement of Research on Transplantation O.d.V., Non Profit Organisation, Cagliari, Italy.,Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Liver Unit, Department of Internal Medicine, University Hospital of Cagliari, Cagliari, Italy
| | - Goffredo Angioni
- Structure of Infectious Diseases Unit, SS Trinità Hospital, Cagliari, Italy
| | - Marcello Campagna
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Davide Firinu
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Maria Del Zompo
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Giorgio La Nasa
- Hematology Unit, Businco Hospital, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Andrea Perra
- Association for the Advancement of Research on Transplantation O.d.V., Non Profit Organisation, Cagliari, Italy.,Unit of Oncology and Molecular Pathology, Department of Biomedical Sciences, University of Cagliari, Monserrato, Italy
| | - Sabrina Giglio
- Medical Genetics Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Medical Genetics Unit, R. Binaghi Hospital, Local Public Health and Social Care Unit (ASSL) of Cagliari, Cagliari, Italy.,Centre for Research University Services (CeSAR, Centro Servizi di Ateneo per la Ricerca), University of Cagliari, Monserrato, Italy
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18
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Circum-Saharan Prehistory through the Lens of mtDNA Diversity. Genes (Basel) 2022; 13:genes13030533. [PMID: 35328086 PMCID: PMC8951852 DOI: 10.3390/genes13030533] [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: 01/23/2022] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 12/04/2022] Open
Abstract
African history has been significantly influenced by the Sahara, which has represented a barrier for migrations of all living beings, including humans. Major exceptions were the gene flow events that took place between North African and sub-Saharan populations during the so-called African Humid Periods, especially in the Early Holocene (11.5 to 5.5 thousand years ago), and more recently in connection with trans-Saharan commercial routes. In this study, we describe mitochondrial DNA (mtDNA) diversity of human populations from both sides of the Sahara Desert, i.e., both from North Africa and the Sahel/Savannah belt. The final dataset of 7213 mtDNA sequences from 134 African populations encompasses 470 newly collected and 6743 previously published samples, which were analyzed using descriptive methods and Bayesian statistics. We completely sequenced 26 mtDNAs from sub-Saharan samples belonging to the Eurasian haplogroup N1. Analyses of these N1 mitogenomes revealed their possible routes to the Sahel, mostly via Bab el-Mandab. Our results indicate that maternal gene flow must have been important in this circum-Saharan space, not only within North Africa and the Sahel/Savannah belt but also between these two regions.
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19
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Mbarek H, Devadoss Gandhi G, Selvaraj S, Al-Muftah W, Badji R, Al-Sarraj Y, Saad C, Darwish D, Alvi M, Fadl T, Yasin H, Alkuwari F, Razali R, Aamer W, Abbaszadeh F, Ahmed I, Mokrab Y, Suhre K, Albagha O, Fakhro K, Badii R, Ismail SI, Althani A. Qatar Genome: Insights on Genomics from the Middle East. Hum Mutat 2022; 43:499-510. [PMID: 35112413 DOI: 10.1002/humu.24336] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 12/16/2021] [Accepted: 01/29/2022] [Indexed: 11/09/2022]
Abstract
Despite recent biomedical breakthroughs and large genomic studies growing momentum, the Middle Eastern population, home to over 400 million people, is under-represented in the human genome variation databases. Here we describe insights from phase 1 of the Qatar Genome Program with whole genome sequenced 6,047 individuals from Qatar. We identified more than 88 million variants of which 24 million are novel and 23 million are singletons. Consistent with the high consanguinity and founder effects in the region, we found that several rare deleterious variants were more common in the Qatari population while others seem to provide protection against diseases and have shaped the genetic architecture of adaptive phenotypes. These results highlight the value of our data as a resource to advance genetic studies in the Arab and neighbouring Middle Eastern populations and will significantly boost the current efforts to improve our understanding of global patterns of human variations, human history and genetic contributions to health and diseases in diverse populations. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Hamdi Mbarek
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Geethanjali Devadoss Gandhi
- Department of Biomedical Sciences, College of Health Sciences, Qatar University.,College of Health & Life Sciences, Hamad Bin Khalifa University, Education City, Doha, Qatar
| | - Senthil Selvaraj
- Department of Biomedical Sciences, College of Health Sciences, Qatar University
| | - Wadha Al-Muftah
- Department of Genetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Radja Badji
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Yasser Al-Sarraj
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar.,Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Chadi Saad
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Dima Darwish
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Muhammad Alvi
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Tasnim Fadl
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Heba Yasin
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Fatima Alkuwari
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Rozaimi Razali
- Department of Biomedical Sciences, College of Health Sciences, Qatar University
| | - Waleed Aamer
- Human Genetics Department, Sidra Medicine, Doha, Qatar
| | | | - Ikhlak Ahmed
- Sidra Medicine, Biomedical Informatics - Research Branch, Doha, Qatar
| | - Younes Mokrab
- Human Genetics Department, Sidra Medicine, Doha, Qatar
| | - Karsten Suhre
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Omar Albagha
- College of Health & Life Sciences, Hamad Bin Khalifa University, Education City, Doha, Qatar.,Center of Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - Khalid Fakhro
- Department of Biomedical Sciences, College of Health Sciences, Qatar University
| | - Ramin Badii
- Molecular Genetics Laboratory, Hamad Medical Corporation, Doha, Qatar
| | | | - Asma Althani
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar.,Biomedical Research Center, Qatar University, Doha, Qatar
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20
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Azcueta R, Pinna M, Manchia M, Simbula S, Tondo L, Baldessarini RJ. Suicidal risks in rural versus urban populations in Sardinia. J Affect Disord 2021; 295:1449-1455. [PMID: 34565595 DOI: 10.1016/j.jad.2021.09.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 08/30/2021] [Accepted: 09/12/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Rural locations have been associated with suicidal risk; low population density may be a relevant factor. Accordingly, we investigated hypothesized associations between suicidal ideation and behavior with selected geographic and population-related measures and other factors. METHODS Consenting adult patients at a mood disorder center in Cagliari, Sardinia, were assessed for the presence of suicidal ideation and acts and their association with selected demographic and clinical factors as well as indicators of urbanicity and rurality, including distance from the region's main metropolitan area, population density, altitude, and population growth trends. RESULTS Of 5,668 subjects, 27% had an indication of lifetime suicidal behavior or ideation; 8.6% had at least one suicidal act. Low population density, higher altitude and their interaction, distance from the metropolitan center of the main city (Cagliari), and population decline were associated with greater risk of suicidal ideation or behavior. In addition, and as expected, alcohol or substance abuse, diagnosis of mood disorders, higher depression ratings at intake, being younger at illness-onset, family history of suicide or other psychiatric disorder, being female, unmarried, separated or divorced, currently smoking cigarettes, being unemployed, and having experienced sexual abuse all were more likely in subjects with suicidal ideation or behavior. CONCLUSION Suicidal ideation and behavior were associated with indicators of social isolation as well as with previously reported clinical and demographic risk factors.
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Affiliation(s)
- Ramon Azcueta
- Hospital de Emergencias Psiquiátricas Torcuato de Alvear, Buenos Aires, Argentina
| | - Marco Pinna
- Lucio Bini Mood Disorders Centers, Cagliari and Rome, Italy; Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Stefano Simbula
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Italy
| | - Leonardo Tondo
- Lucio Bini Mood Disorders Centers, Cagliari and Rome, Italy; McLean Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Ross J Baldessarini
- McLean Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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21
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Fazia T, Marzanati D, Carotenuto AL, Beecham A, Hadjixenofontos A, McCauley JL, Saddi V, Piras M, Bernardinelli L, Gentilini D. Homozygosity Haplotype and Whole-Exome Sequencing Analysis to Identify Potentially Functional Rare Variants Involved in Multiple Sclerosis among Sardinian Families. Curr Issues Mol Biol 2021; 43:1778-1793. [PMID: 34889895 PMCID: PMC8929092 DOI: 10.3390/cimb43030125] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/13/2021] [Accepted: 10/23/2021] [Indexed: 12/24/2022] Open
Abstract
Multiple Sclerosis (MS) is a complex multifactorial autoimmune disease, whose sex- and age-adjusted prevalence in Sardinia (Italy) is among the highest worldwide. To date, 233 loci were associated with MS and almost 20% of risk heritability is attributable to common genetic variants, but many low-frequency and rare variants remain to be discovered. Here, we aimed to contribute to the understanding of the genetic basis of MS by investigating potentially functional rare variants. To this end, we analyzed thirteen multiplex Sardinian families with Immunochip genotyping data. For five families, Whole Exome Sequencing (WES) data were also available. Firstly, we performed a non-parametric Homozygosity Haplotype analysis for identifying the Region from Common Ancestor (RCA). Then, on these potential disease-linked RCA, we searched for the presence of rare variants shared by the affected individuals by analyzing WES data. We found: (i) a variant (43181034 T > G) in the splicing region on exon 27 of CUL9; (ii) a variant (50245517 A > C) in the splicing region on exon 16 of ATP9A; (iii) a non-synonymous variant (43223539 A > C), on exon 9 of TTBK1; (iv) a non-synonymous variant (42976917 A > C) on exon 9 of PPP2R5D; and v) a variant (109859349-109859354) in 3'UTR of MYO16.
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Affiliation(s)
- Teresa Fazia
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; (D.M.); (A.L.C.); (L.B.); (D.G.)
| | - Daria Marzanati
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; (D.M.); (A.L.C.); (L.B.); (D.G.)
| | - Anna Laura Carotenuto
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; (D.M.); (A.L.C.); (L.B.); (D.G.)
| | - Ashley Beecham
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; (A.B.); (A.H.); (J.L.M.)
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, Miami, FL 33136, USA
| | - Athena Hadjixenofontos
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; (A.B.); (A.H.); (J.L.M.)
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, Miami, FL 33136, USA
| | - Jacob L. McCauley
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; (A.B.); (A.H.); (J.L.M.)
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, Miami, FL 33136, USA
| | - Valeria Saddi
- Divisione di Neurologia, Presidio Ospedaliero S. Francesco, ASL Numero 3 Nuoro, 08100 Nuoro, Italy; (V.S.); (M.P.)
| | - Marialuisa Piras
- Divisione di Neurologia, Presidio Ospedaliero S. Francesco, ASL Numero 3 Nuoro, 08100 Nuoro, Italy; (V.S.); (M.P.)
| | - Luisa Bernardinelli
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; (D.M.); (A.L.C.); (L.B.); (D.G.)
| | - Davide Gentilini
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; (D.M.); (A.L.C.); (L.B.); (D.G.)
- Bioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, 20095 Cusano Milanino, Italy
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22
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Gender Differences among Sardinians with Alcohol Use Disorder. J Clin Med 2021; 10:jcm10204688. [PMID: 34682808 PMCID: PMC8537954 DOI: 10.3390/jcm10204688] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/27/2021] [Accepted: 10/08/2021] [Indexed: 11/16/2022] Open
Abstract
Sardinia is an Italian island in the Mediterranean characterized by secular isolation and the singular genetic characteristics of its inhabitants. Findings obtained in populations with diverse genetic make-up and cultural background indicate gender differences and/or similarities in drinking characteristics of patients with alcohol use disorder (AUD). Knowledge of these characteristics in AUD patients is useful to improve access to treatments. This paper investigated the drinking characteristics of 66 female and 282 male outpatients with AUD, born from 1937 to 1991, living in Sardinia, and compared their characteristics with those of AUD patients living in other countries. Most Sardinian patients were men, approximately 3 years younger than women; women consumed lower amounts of alcohol than men but did not differ from men in the severity of AUD. Men were more often single than women, while a higher proportion of women reported that their mother or spouse was affected by AUD. Anxiety and depression were more prevalent among women while a higher proportion of men were affected by substance use disorders. Women were older than men at the age of first drink, regular drinking, and onset of AUD, and progressed faster than men from regular use to AUD onset. Women did not differ from men in age at first request for care, and in the lapse from AUD onset to first request for care. Women and men waited for more than 8 and 9 years, respectively, before receiving medical treatment. Gender differences progressively decreased among younger patients. Although the scarce number of women in some cohorts limits the strength of these findings, drinking characteristics of Sardinian patients did not vary significantly from those of AUD patients living in other countries. These results suggest that the number of Sardinian women with AUD is increasing and services for treatment of AUD should (a) consider women’s specific needs, and (b) realize effective policies to reduce latency prior to accessing medical treatment for both men and women with AUD.
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23
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Calò CM, Vona G, Robledo R, Francalacci P. From old markers to next generation: reconstructing the history of the peopling of Sardinia. Ann Hum Biol 2021; 48:203-212. [PMID: 34459339 DOI: 10.1080/03014460.2021.1944312] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
CONTEXT For many years the Sardinian population has been the object of numerous studies because of its unique genetic structure. Despite the extreme abundance of papers, various aspects of the peopling and genetic structure of Sardinia still remain uncertain and sometimes controversial. OBJECTIVE We reviewed what has emerged from different studies, focussing on some still open questions, such as the origin of Sardinians, their relationship with the Corsican population, and the intra-regional genetic heterogeneity. METHODS The various issues have been addressed through the analysis of classical markers, molecular markers and, finally, genomic data through next generation sequencing. RESULTS AND CONCLUSIONS Although the most ancient human remains date back to the end of the Palaeolithic, Mesolithic populations brought founding lineages that left evident traces in the modern population. Then, with the Neolithic, the island underwent an important demographic expansion. Subsequently, isolation and genetic drift contributed to maintain a significant genetic heterogeneity, but preserving the overall homogeneity on a regional scale. At the same time, isolation and genetic drift contributed to differentiate Sardinia from Corsica, which saw an important gene flow from the mainland. However, the isolation did not prevent gene flow from the neighbouring populations whose contribution are still recognisable in the genome of Sardinians.
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Affiliation(s)
- Carla Maria Calò
- Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy
| | - Giuseppe Vona
- Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy
| | - Renato Robledo
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Paolo Francalacci
- Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy
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24
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Sarno S, Cilli E, Serventi P, De Fanti S, Corona A, Fontani F, Traversari M, Ferri G, Fariselli AC, Luiselli D. Insights into Punic genetic signatures in the southern necropolis of Tharros (Sardinia). Ann Hum Biol 2021; 48:247-259. [PMID: 34459340 DOI: 10.1080/03014460.2021.1937699] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Phoenician and Punic expansions have been protagonists of intense trade networks and settlements in the Mediterranean Sea. AIMS The maternal genetic variability of ancient Punic samples from the Sardinian necropolis of Tharros was analysed, with the aim to explore genetic interactions and signatures of past population events. SUBJECTS AND METHODS The mtDNA HVS-I and coding region SNPs were analysed in 14 Punic samples and 74 modern individuals from Cabras and Belvì (for which the HVS-II region was also analysed). The results were compared with 5,590 modern Euro-Mediterranean sequences and 127 ancient samples. RESULTS While contemporary groups fall within the genetic variability of other modern Sardinians, our Punic samples reveal proximity to present-day North-African and Iberian populations. Furthermore, Cabras and Belvì cluster mainly with pre-Phoenician groups, while samples from Tharros project with other Punic Sardinian individuals. CONCLUSION This study provides the first preliminary insights into the population dynamics of the Punic site of Tharros. While the number of currently available samples does not allow definitive investigation of the connection with indigenous Sardinian groups, our results seem to confirm internal migratory phenomena in the central-western Mediterranean and female participation in the Punic mobility.
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Affiliation(s)
- Stefania Sarno
- Department of Biological Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Elisabetta Cilli
- Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Patrizia Serventi
- Department of Biological Geological and Environmental Sciences, University of Bologna, Bologna, Italy.,Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Sara De Fanti
- Department of Biological Geological and Environmental Sciences, University of Bologna, Bologna, Italy.,Interdepartmental Centre "Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate)", University of Bologna, Bologna, Italy
| | - Andrea Corona
- Department of Biological Geological and Environmental Sciences, University of Bologna, Bologna, Italy.,Dipartimento di Scienze del Sistema Nervoso e del Comportamento, Università di Pavia, Pavia, Italy
| | - Francesco Fontani
- Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Mirko Traversari
- Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Gianmarco Ferri
- Department of Diagnostic and Clinical Medicine and Public Health, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Donata Luiselli
- Department of Cultural Heritage, University of Bologna, Ravenna, Italy
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25
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SARS-CoV-2 Epidemics in Retirement and Nursing Homes in Italy: A New Preparedness Assessment Model after the First Epidemic Wave. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18115712. [PMID: 34073437 PMCID: PMC8199425 DOI: 10.3390/ijerph18115712] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 05/19/2021] [Accepted: 05/24/2021] [Indexed: 12/23/2022]
Abstract
The aim of the study is to evaluate the preparedness of retirement and nursing homes in the city of Sassari at the end of the first wave of the severe acute respiratory syndrome coronavirus 2 epidemic, first by investigating the risk perception of epidemic outbreaks by the facility managers and subsequently by carrying out a field assessment of these facilities. To perform the field assessment, a checklist developed by the CDC (Infection Prevention and Control Assessment Tool for Nursing Homes Preparing for COVID-19) and adapted to the Italian context was used. Fourteen facilities took part in the survey (87.5%). The application of good practices for each survey area was expressed as a percentage with the following median values: restriction policies (87.5%), staff training (53.8%), resident training (67.6%), availability of personal protective equipment (41.7%), infection control practices (73.5%) and communication (80%). Among the facilities, considerable variability was observed in these evaluation fields: only the restriction policies and communication activities were applied uniformly. A discrepancy was found between perceived risk and real danger in the facilities, requiring targeted communication actions. At present, it is necessary to promote a new approach based on the prediction of critical events, thereby providing the means to effectively address them.
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26
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Flores-Bello A, Bauduer F, Salaberria J, Oyharçabal B, Calafell F, Bertranpetit J, Quintana-Murci L, Comas D. Genetic origins, singularity, and heterogeneity of Basques. Curr Biol 2021; 31:2167-2177.e4. [DOI: 10.1016/j.cub.2021.03.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/22/2021] [Accepted: 03/02/2021] [Indexed: 02/09/2023]
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27
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Capodiferro MR, Aram B, Raveane A, Rambaldi Migliore N, Colombo G, Ongaro L, Rivera J, Mendizábal T, Hernández-Mora I, Tribaldos M, Perego UA, Li H, Scheib CL, Modi A, Gòmez-Carballa A, Grugni V, Lombardo G, Hellenthal G, Pascale JM, Bertolini F, Grieco GS, Cereda C, Lari M, Caramelli D, Pagani L, Metspalu M, Friedrich R, Knipper C, Olivieri A, Salas A, Cooke R, Montinaro F, Motta J, Torroni A, Martín JG, Semino O, Malhi RS, Achilli A. Archaeogenomic distinctiveness of the Isthmo-Colombian area. Cell 2021; 184:1706-1723.e24. [PMID: 33761327 PMCID: PMC8024902 DOI: 10.1016/j.cell.2021.02.040] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 10/20/2020] [Accepted: 02/18/2021] [Indexed: 01/09/2023]
Abstract
The recently enriched genomic history of Indigenous groups in the Americas is still meager concerning continental Central America. Here, we report ten pre-Hispanic (plus two early colonial) genomes and 84 genome-wide profiles from seven groups presently living in Panama. Our analyses reveal that pre-Hispanic demographic events contributed to the extensive genetic structure currently seen in the area, which is also characterized by a distinctive Isthmo-Colombian Indigenous component. This component drives these populations on a specific variability axis and derives from the local admixture of different ancestries of northern North American origin(s). Two of these ancestries were differentially associated to Pleistocene Indigenous groups that also moved into South America, leaving heterogenous genetic footprints. An additional Pleistocene ancestry was brought by a still unsampled population of the Isthmus (UPopI) that remained restricted to the Isthmian area, expanded locally during the early Holocene, and left genomic traces up to the present day.
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Affiliation(s)
| | - Bethany Aram
- Department of Geography, History and Philosophy, the Pablo de Olavide University of Seville, Seville 41013, Spain
| | - Alessandro Raveane
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy; Laboratory of Hematology-Oncology, European Institute of Oncology IRCCS, Milan 20141, Italy
| | - Nicola Rambaldi Migliore
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy
| | - Giulia Colombo
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy
| | - Linda Ongaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Javier Rivera
- Department of History and Social Sciences, Universidad del Norte, Barranquilla 080001, Colombia
| | - Tomás Mendizábal
- Patronato Panamá Viejo, Panama City 0823-05096, Panama; Coiba Scientific Station (COIBA AIP), City of Knowledge, Clayton 0843-03081, Panama
| | - Iosvany Hernández-Mora
- Department of History and Social Sciences, Universidad del Norte, Barranquilla 080001, Colombia
| | - Maribel Tribaldos
- Gorgas Memorial Institute for Health Studies, Panama City 0816-02593, Panama
| | - Ugo Alessandro Perego
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy
| | - Hongjie Li
- Department of Anthropology, Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA
| | - Christiana Lyn Scheib
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Alessandra Modi
- Department of Biology, University of Florence, Florence 50122, Italy
| | - Alberto Gòmez-Carballa
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, 15782 Galicia, Spain; GenPoB Research Group, Instituto de Investigación Sanitarias (IDIS), Hospital Clínico Universitario de Santiago de Compostela (SERGAS), 15706 Galicia, Spain
| | - Viola Grugni
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy
| | - Gianluca Lombardo
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy
| | - Garrett Hellenthal
- UCL Genetics Institute (UGI), Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Juan Miguel Pascale
- Gorgas Memorial Institute for Health Studies, Panama City 0816-02593, Panama
| | - Francesco Bertolini
- Laboratory of Hematology-Oncology, European Institute of Oncology IRCCS, Milan 20141, Italy
| | | | - Cristina Cereda
- Genomic and Post-Genomic Center, National Neurological Institute C. Mondino, Pavia 27100, Italy
| | - Martina Lari
- Department of Biology, University of Florence, Florence 50122, Italy
| | - David Caramelli
- Department of Biology, University of Florence, Florence 50122, Italy
| | - Luca Pagani
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Biology, University of Padua, Padua 35121, Italy
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Ronny Friedrich
- Curt Engelhorn Center Archaeometry (CEZA), Mannheim 68159, Germany
| | - Corina Knipper
- Curt Engelhorn Center Archaeometry (CEZA), Mannheim 68159, Germany
| | - Anna Olivieri
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy
| | - Antonio Salas
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, 15782 Galicia, Spain; GenPoB Research Group, Instituto de Investigación Sanitarias (IDIS), Hospital Clínico Universitario de Santiago de Compostela (SERGAS), 15706 Galicia, Spain
| | - Richard Cooke
- Smithsonian Tropical Research Institute, Panama City 0843-03092, Panama; Sistema Nacional de Investigadores, Secretaría Nacional de Ciencia y Tecnología, Ciudad del Saber, Clayton 0816-02852, Panama
| | - Francesco Montinaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Biology-Genetics, University of Bari, Bari 70125, Italy
| | - Jorge Motta
- Gorgas Memorial Institute for Health Studies, Panama City 0816-02593, Panama
| | - Antonio Torroni
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy
| | - Juan Guillermo Martín
- Department of History and Social Sciences, Universidad del Norte, Barranquilla 080001, Colombia; Coiba Scientific Station (COIBA AIP), City of Knowledge, Clayton 0843-03081, Panama
| | - Ornella Semino
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy
| | - Ripan Singh Malhi
- Department of Anthropology, Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA
| | - Alessandro Achilli
- Department of Biology and Biotechnology "L. Spallanzani," University of Pavia, Pavia 27100, Italy.
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Island Colonization and Environmental Sustainability in the Postglacial Mediterranean. SUSTAINABILITY 2021. [DOI: 10.3390/su13063383] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Island environments present challenges to human colonization, but we have a poor understanding of how environmental difference drives heterogeneous patterns of insular settlement. In this paper, we assess which environmental and geographic variables positively or negatively affect the long-term sustainability of human settlement on islands. Using the postglacial Mediterranean basin as a case study, we assess the impact of area, isolation index, species richness, and net primary productivity (NPP) on patterns of island occupation for both hunter-gatherer and agropastoral populations. We find that models involving area most effectively accounts for sustainability in hunter-gatherer island settlement. The agropastoral data are noisier, perhaps due to culturally specific factors responsible for the distribution of the data; nonetheless, we show that area and NPP exert profound influence over sustainability of agropastoral island settlement. We conclude by suggesting that this relates to the capacity of these variables to impact demographic robusticity directly.
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Palaima P, Berciano J, Peeters K, Jordanova A. LRSAM1 and the RING domain: Charcot-Marie-Tooth disease and beyond. Orphanet J Rare Dis 2021; 16:74. [PMID: 33568173 PMCID: PMC7874611 DOI: 10.1186/s13023-020-01654-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 12/20/2020] [Indexed: 01/07/2023] Open
Abstract
In the past decade, mutations in LRSAM1 were identified as the genetic cause of both dominant and recessive forms of axonal CMT type 2P (CMT2P). Despite demonstrating different inheritance patterns, dominant CMT2P is usually characterized by relatively mild, slowly progressive axonal neuropathy, mainly involving lower limbs, with age of onset between the second and fifth decades of life. Asymptomatic individuals were identified in several pedigrees exemplifying the strong phenotypic variability of these patients requiring serial clinical evaluation to establish correct diagnosis; in this respect, magnetic resonance imaging of lower-limb musculature showing fatty atrophy might be helpful in detecting subclinical gene mutation carriers. LRSAM1 is a universally expressed RING-type E3 ubiquitin protein ligase catalysing the final step in the ubiquitination cascade. Strikingly, TSG101 remains the only known ubiquitination target hampering our mechanistic understanding of the role of LRSAM1 in the cell. The recessive CMT mutations lead to complete loss of LRSAM1, contrary to the heterozygous dominant variants. These tightly cluster in the C-terminal RING domain highlighting its importance in governing the CMT disease. The domain is crucial for the ubiquitination function of LRSAM1 and CMT mutations disrupt its function, however it remains unknown how this leads to the peripheral neuropathy. Additionally, recent studies have linked LRSAM1 with other neurodegenerative diseases of peripheral and central nervous systems. In this review we share our experience with the challenging clinical diagnosis of CMT2P and summarize the mechanistic insights about the LRSAM1 dysfunction that might be helpful for the neurodegenerative field at large.
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Affiliation(s)
- Paulius Palaima
- Molecular Neurogenomics Group, VIB-UAntwerp Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | - José Berciano
- Service of Neurology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Marqués de Valdecilla (IDIVAL), Universidad de Cantabria (UC), Santander, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Santander, Spain
- Professor Emeritus, Department of Medicine and Psychiatry, ''Edificio Escuela Universitaria de Enfermería (Cuarta Planta)'', University of Cantabria, Avda. de Valdecilla s/n, Santander, Spain
| | - Kristien Peeters
- Molecular Neurogenomics Group, VIB-UAntwerp Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | - Albena Jordanova
- Molecular Neurogenomics Group, VIB-UAntwerp Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium.
- Department of Medical Chemistry and Biochemistry, Medical University-Sofia, Sofia, Bulgaria.
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30
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Sarno S, Petrilli R, Abondio P, De Giovanni A, Boattini A, Sazzini M, De Fanti S, Cilli E, Ciani G, Gentilini D, Pettener D, Romeo G, Giuliani C, Luiselli D. Genetic history of Calabrian Greeks reveals ancient events and long term isolation in the Aspromonte area of Southern Italy. Sci Rep 2021; 11:3045. [PMID: 33542324 PMCID: PMC7862261 DOI: 10.1038/s41598-021-82591-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 01/15/2021] [Indexed: 01/30/2023] Open
Abstract
Calabrian Greeks are an enigmatic population that have preserved and evolved a unique variety of language, Greco, survived in the isolated Aspromonte mountain area of Southern Italy. To understand their genetic ancestry and explore possible effects of geographic and cultural isolation, we genome-wide genotyped a large set of South Italian samples including both communities that still speak Greco nowadays and those that lost the use of this language earlier in time. Comparisons with modern and ancient populations highlighted ancient, long-lasting genetic links with Eastern Mediterranean and Caucasian/Near-Eastern groups as ancestral sources of Southern Italians. Our results suggest that the Aspromonte communities might be interpreted as genetically drifted remnants that departed from such ancient genetic background as a consequence of long-term isolation. Specific patterns of population structuring and higher levels of genetic drift were indeed observed in these populations, reflecting geographic isolation amplified by cultural differences in the groups that still conserve the Greco language. Isolation and drift also affected the current genetic differentiation at specific gene pathways, prompting for future genome-wide association studies aimed at exploring trait-related loci that have drifted up in frequency in these isolated groups.
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Affiliation(s)
- Stefania Sarno
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Rosalba Petrilli
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Paolo Abondio
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Andrea De Giovanni
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy ,grid.6292.f0000 0004 1757 1758Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Alessio Boattini
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Marco Sazzini
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy ,grid.6292.f0000 0004 1757 1758Interdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy
| | - Sara De Fanti
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy ,grid.6292.f0000 0004 1757 1758Interdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy
| | - Elisabetta Cilli
- grid.6292.f0000 0004 1757 1758Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Graziella Ciani
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Davide Gentilini
- grid.8982.b0000 0004 1762 5736Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy ,Italian Auxologic Institute IRCCS, Cusano Milanino, Milan, Italy
| | - Davide Pettener
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Giovanni Romeo
- grid.412311.4Medical Genetics Unit, Sant’Orsola-Malpighi University Hospital, Bologna, Italy ,European School of Genetic Medicine, Bologna, Italy
| | - Cristina Giuliani
- grid.6292.f0000 0004 1757 1758Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy ,grid.6292.f0000 0004 1757 1758Interdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy
| | - Donata Luiselli
- grid.6292.f0000 0004 1757 1758Department of Cultural Heritage, University of Bologna, Ravenna, Italy
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31
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Harney É, Patterson N, Reich D, Wakeley J. Assessing the performance of qpAdm: a statistical tool for studying population admixture. Genetics 2021; 217:6070149. [PMID: 33772284 PMCID: PMC8049561 DOI: 10.1093/genetics/iyaa045] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 12/11/2020] [Indexed: 01/18/2023] Open
Abstract
qpAdm is a statistical tool for studying the ancestry of populations with histories that involve admixture between two or more source populations. Using qpAdm, it is possible to identify plausible models of admixture that fit the population history of a group of interest and to calculate the relative proportion of ancestry that can be ascribed to each source population in the model. Although qpAdm is widely used in studies of population history of human (and nonhuman) groups, relatively little has been done to assess its performance. We performed a simulation study to assess the behavior of qpAdm under various scenarios in order to identify areas of potential weakness and establish recommended best practices for use. We find that qpAdm is a robust tool that yields accurate results in many cases, including when data coverage is low, there are high rates of missing data or ancient DNA damage, or when diploid calls cannot be made. However, we caution against co-analyzing ancient and present-day data, the inclusion of an extremely large number of reference populations in a single model, and analyzing population histories involving extended periods of gene flow. We provide a user guide suggesting best practices for the use of qpAdm.
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Affiliation(s)
- Éadaoin Harney
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.,The Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean, Cambridge, MA 02138, USA.,Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Nick Patterson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.,Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - John Wakeley
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
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32
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Zeng T, Fedeli MA, Tanda F, Wang Y, Yang D, Xue B, Jia L, Palmieri G, Sechi LA, Kelvin DJ. Whole-exome Sequencing of Prostate Cancer in Sardinian Identify Recurrent UDP-glucuronosyltransferase Amplifications. J Cancer 2021; 12:438-450. [PMID: 33391440 PMCID: PMC7738997 DOI: 10.7150/jca.48433] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 10/25/2020] [Indexed: 02/05/2023] Open
Abstract
Globally, prostate cancer is the third most common cancer in the world, and the second most common cancer in men. However, rates for incidence and mortality vary considerably with race, ethnicity, and geography. Over 97 significantly mutated genes that have been identified in prostate cancer; however, a lack of genomic prostate cancer studies focusing on different racial and ethnic groups and racial mixing pose a serious challenge to universalize these findings. The Sardinian population is an isolated Mediterranean population that has a high frequency of centenarians and a much lower incidence of prostate cancer than found in males in mainland Europe. Here, we conducted a genomic prostate cancer study on a Sardinian cohort diagnosed with local prostate cancer. Our data reveals a low rate of ERG fusion in Sardinian prostate cancer. Interestingly, we identified a novel BTBD7-SLC2A5 fusion that occurred in 13% of the patients. We also found that the UGT2B4 on 4q13.2 was amplified in 20% of the Sardinian patients but rarely amplified in patients of other population. These observations underscore the importance of the inter-population molecular heterogeneity of prostate cancer. In addition, we examined the expression of UGT2B4 in 497 prostate cancer patients derived from The Cancer Genome Atlas database. We found that high expression of UGT2B4 was associated with low-grade prostate cancer and upregulation of UGT2B4 in tumors was associated with upregulation of metabolism pathways such as 'de novo' IMP biosynthetic process, glutamine and monocarboxylic acid metabolism. These data provide insight into clinical relevance and functional mechanism of UGT2B4. Further understanding functional mechanism of UGT2B4 amplification and BTBD7-SLC2A5 fusion will aid in developing drugs to benefit the prostate cancer patients.
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Affiliation(s)
- Tiansheng Zeng
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, Shantou Guangdong, China
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Maria Antonietta Fedeli
- Department of Scienze Mediche Chirurgiche e Sperimentali, first affiliated Hospital of 33445Sassari University
| | - Francesco Tanda
- Department of Scienze Mediche Chirurgiche e Sperimentali, first affiliated Hospital of 33445Sassari University
| | - Yuyong Wang
- Department of Urology, affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, China
| | - Dongsheng Yang
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, Shantou Guangdong, China
| | - Bei Xue
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, Shantou Guangdong, China
| | - Lisha Jia
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, Shantou Guangdong, China
| | - Giuseppe Palmieri
- Institute of Genetic and Biomedical Research (IRGB), Head, National Research Council (CNR), 07100 Sassari, Italy
| | - Leonardo A Sechi
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- ✉ Corresponding authors: J. Kelvin, E-mail: ; and Leonardo A. Sechi, E-mail: . Co-corresponding authors equally contributed to this work
| | - David J. Kelvin
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, Shantou Guangdong, China
- Department of Scienze Mediche Chirurgiche e Sperimentali, first affiliated Hospital of 33445Sassari University
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada B3H 4R2
- Canadian Center for Vaccinology, IWK, Halifax, Nova Scotia, Canada
- ✉ Corresponding authors: J. Kelvin, E-mail: ; and Leonardo A. Sechi, E-mail: . Co-corresponding authors equally contributed to this work
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Palomba G, Paliogiannis P, Sini MC, Colombino M, Casula M, Manca A, Pisano M, Sotgiu G, Doneddu V, Palmieri G, Cossu A. KIT and PDGFRa mutational patterns in Sardinian patients with gastrointestinal stromal tumors. Eur J Cancer Prev 2021; 30:53-58. [PMID: 32091431 PMCID: PMC7713762 DOI: 10.1097/cej.0000000000000581] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 01/20/2020] [Indexed: 12/16/2022]
Abstract
Gastrointestinal stromal tumor (GIST) is the most common mesenchymal malignancy of the gastrointestinal tract. We provide in the present article the molecular characterization of a series of primary GISTs in a cohort of Sardinian patients (Italy), with the aim to describe the patterns of KIT and PDGFRa mutations and the corresponding clinical features. Ninety-nine Sardinian patients with histologically-proven diagnosis of GIST were included in the study. Medical records and pathology reports were used to assess the demographic and clinical features of the patients and the disease at the time of the diagnosis. Formalin-fixed, paraffin-embedded tissue samples were retrieved for each case, and mutation analysis of the KIT and PDGFRa genes was performed. KIT and PDGFRa mutations were detected in 81.8% and 5% of the cases, respectively. The most common KIT mutation was W557_K558del in exon 11, while D842V in exon 18 was the most common PDGFRa genetic alteration; V561D was the only PDGFRa mutation found in exon 12. The global "wild-type" cases, with no mutations in either the KIT or PDGFRa genes, were 13 (13.1%). The mean survival of those patients was approximately 46.9 (±43.9) months. Globally, 86.9% of Sardinian patients with GIST had a KIT or PDGFRa mutation; the former were more frequent in comparison with other Italian cohorts, while PDGFRa mutations were rare. No statistical differences in survival between mutated and wild-type cases, and between KIT and PDGFRa mutated cases were detected in our study.
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Affiliation(s)
- Grazia Palomba
- Unit of Cancer Genetics, Institute of Biomolecular Chemistry (ICB), National Research Council (CNR)
| | - Panagiotis Paliogiannis
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Maria C. Sini
- Unit of Cancer Genetics, Institute of Biomolecular Chemistry (ICB), National Research Council (CNR)
| | - Maria Colombino
- Unit of Cancer Genetics, Institute of Biomolecular Chemistry (ICB), National Research Council (CNR)
| | - Milena Casula
- Unit of Cancer Genetics, Institute of Biomolecular Chemistry (ICB), National Research Council (CNR)
| | - Antonella Manca
- Unit of Cancer Genetics, Institute of Biomolecular Chemistry (ICB), National Research Council (CNR)
| | - Marina Pisano
- Unit of Cancer Genetics, Institute of Biomolecular Chemistry (ICB), National Research Council (CNR)
| | - Giovanni Sotgiu
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Valentina Doneddu
- Unit of Cancer Genetics, Institute of Biomolecular Chemistry (ICB), National Research Council (CNR)
| | - Giuseppe Palmieri
- Unit of Cancer Genetics, Institute of Biomolecular Chemistry (ICB), National Research Council (CNR)
| | - Antonio Cossu
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
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Qoronfleh MW, Chouchane L, Mifsud B, Al Emadi M, Ismail S. THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar. LIFE SCIENCES, SOCIETY AND POLICY 2020; 16:12. [PMID: 33129349 PMCID: PMC7603723 DOI: 10.1186/s40504-020-00107-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 09/24/2020] [Indexed: 06/11/2023]
Abstract
In 2016, the World Innovation Summit for Health (WISH) published its Forum Report on precision medicine "PRECISION MEDICINE - A GLOBAL ACTION PLAN FOR IMPACT". Healthcare is undergoing a transformation, and it is imperative to leverage new technologies to generate new data and support the advent of precision medicine (PM). Recent scientific breakthroughs and technological advancements have improved our disease knowledge and altered diagnosis and treatment approaches resulting in a more precise, predictive, preventative and personalized health care that is customized for the individual patient. Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. Additionally, personalized medicine promises to revolutionize healthcare, with its key goal of providing the right treatment to the right patient at the right time and dose, and thus the potential of improving quality of life and helping to bring down healthcare costs.This policy briefing will look in detail at the issues surrounding continued development, sustained investment, risk factors, testing and approval of innovations for better strategy and faster process. The paper will serve as a policy bridge that is required to enhance a conscious decision among the powers-that-be in Qatar in order to find a way to harmonize multiple strands of activity and responsibility in the health arena. The end goal will be for Qatar to enhance public awareness and engagement and to integrate effectively the incredible advances in research into healthcare systems, for the benefit of all patients.The PM policy briefing provides concrete recommendations on moving forward with PM initiatives in Qatar and internationally. Equally important, integration of PM within a primary care setting, building a coalition of community champions through awareness and advocacy, finally, communicating PM value, patient engagement/empowerment and education/continued professional development programs of the healthcare workforce.Key recommendations for implementation of precision medicine inside and outside Qatar: 1. Create Community Awareness and PM Education Programs 2. Engage and Empower Patients 3. Communicate PM Value 4. Develop appropriate Infrastructure and Information Management Systems 5. Integrate PM into standard Healthcare System and Ensure Access to Care PM is no longer futuristic. It is here. Implementing PM in routine clinical care does require some investment and infrastructure development. Invariably, cost and lack of expertise are cited as barriers to PM implementation. Equally consequential, are the curriculum and professional development of medical care experts.Policymakers need to lead and coordinate effort among stakeholders and consider cultural and faith perspectives to ensure success. It is essential that policymakers integrate PM approaches into national strategies to improve health and health care for all, and to drive towards the future of medicine precision health.
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Affiliation(s)
- M. Walid Qoronfleh
- Research & Policy Department, World Innovation Summit for Health (WISH), Qatar Foundation, P.O. Box 5825, Doha, Qatar
| | - Lotfi Chouchane
- Departments of Genetic Medicine and Microbiology and Immunology, Weill Cornell Medicine, Qatar, Doha, Qatar
| | - Borbala Mifsud
- College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Maryam Al Emadi
- Clinical Operations, Primary Health Corporation (PHCC), Doha, Qatar
| | - Said Ismail
- Qatar Genome Program, Qatar Foundation, Doha, Qatar
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35
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Analysis of rearrangements of the CFTR gene in patients from Turkey with CFTR-related disorders: frequent exon 2 deletion. J Hum Genet 2020; 66:315-320. [PMID: 33093640 DOI: 10.1038/s10038-020-00859-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/23/2020] [Accepted: 10/06/2020] [Indexed: 11/09/2022]
Abstract
Cystic fibrosis is a hereditary disease that mostly affects the sweat glands, respiratory system, digestive system, and reproductive system. Many and various types of mutations have been reported in CFTR in different ethnicities and countries/regions. Analysis of CFTR gene rearrangements is recommended in patients with unidentified mutated alleles in CFTR sequencing analysis. We collected MLPA analyses of 527 patients from Turkey who had at least one unidentified mutation in CFTR sequence analysis. Heterozygous/homozygous deletions were detected in the CFTR gene in 49 individuals (9.2%) from 35 families. Twelve different single/multi exon deletions were demonstrated, two of which were not previously reported in the literature. Mutations have previously reported in patients from various regions including Asia, Europe, and Africa, and Turkey is located at a crossroads between them. The most frequent mutation was the exon 2 deletion, accounting for 60%. Moreover, patients with exon 2 deletions, were especially originated from northern Turkey. This finding is valuable in leading and shaping planned screening programs in Turkey. Our study, the most comprehensive study for rearrangement analysis in patients from Tukey, revealed a candidate hotspot region of patients suspected of having CFTR-related disorders from Turkey.
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Priehodová E, Austerlitz F, Čížková M, Nováčková J, Ricaut FX, Hofmanová Z, Schlebusch CM, Černý V. Sahelian pastoralism from the perspective of variants associated with lactase persistence. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2020; 173:423-436. [PMID: 32812238 DOI: 10.1002/ajpa.24116] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 04/17/2020] [Accepted: 06/02/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Archeological evidence shows that first nomadic pastoralists came to the African Sahel from northeastern Sahara, where milking is reported by ~7.5 ka. A second wave of pastoralists arrived with the expansion of Arabic tribes in 7th-14th century CE. All Sahelian pastoralists depend on milk production but genetic diversity underlying their lactase persistence (LP) is poorly understood. MATERIALS AND METHODS We investigated SNP variants associated with LP in 1,241 individuals from 29 mostly pastoralist populations in the Sahel. Then, we analyzed six SNPs in the neighboring fragment (419 kb) in the Fulani and Tuareg with the -13910*T mutation, reconstructed haplotypes, and calculated expansion age and growth rate of this variant. RESULTS Our results reveal a geographic localization of two different LP variants in the Sahel: -13910*T west of Lake Chad (Fulani and Tuareg pastoralists) and -13915*G east of there (mostly Arabic-speaking pastoralists). We show that -13910*T has a more diversified haplotype background among the Fulani than among the Tuareg and that the age estimate for expansion of this variant among the Fulani (~8.5 ka) corresponds to introduction of cattle to the area. CONCLUSIONS This is the first study showing that the "Eurasian" LP allele -13910*T is widespread both in northern Europe and in the Sahel; however, it is limited to pastoralists in the Sahel. Since the Fulani haplotype with -13910*T is shared with contemporary Eurasians, its origin could be in a region encompassing the Near East and northeastern Africa in a population ancestral to both Saharan pastoralists and European farmers.
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Affiliation(s)
- Edita Priehodová
- Archaeogenetics Laboratory, Institute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Frédéric Austerlitz
- UMR 7206 EcoAnthropologie et Ethnobiologie, CNRS/MNHN/Université Paris Diderot, Musée de l'Homme, Paris, France
| | - Martina Čížková
- Archaeogenetics Laboratory, Institute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Jana Nováčková
- Archaeogenetics Laboratory, Institute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - François-Xavier Ricaut
- Department of Evolution and Biological Diversity (UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, Toulouse, France
| | - Zuzana Hofmanová
- Archaeogenetics Laboratory, Institute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Carina M Schlebusch
- Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa.,SciLifeLab, Uppsala, Sweden
| | - Viktor Černý
- Archaeogenetics Laboratory, Institute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic
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Chen M, Sidore C, Akiyama M, Ishigaki K, Kamatani Y, Schlessinger D, Cucca F, Okada Y, Chiang CWK. Evidence of Polygenic Adaptation in Sardinia at Height-Associated Loci Ascertained from the Biobank Japan. Am J Hum Genet 2020; 107:60-71. [PMID: 32533944 PMCID: PMC7332648 DOI: 10.1016/j.ajhg.2020.05.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 05/19/2020] [Indexed: 01/31/2023] Open
Abstract
Adult height is one of the earliest putative examples of polygenic adaptation in humans. However, this conclusion was recently challenged because residual uncorrected stratification from large-scale consortium studies was considered responsible for the previously noted genetic difference. It thus remains an open question whether height loci exhibit signals of polygenic adaptation in any human population. We re-examined this question, focusing on one of the shortest European populations, the Sardinians, in addition to mainland European populations. We utilized height-associated loci from the Biobank Japan (BBJ) dataset to further alleviate concerns of biased ascertainment of GWAS loci and showed that the Sardinians remain significantly shorter than expected under neutrality (∼0.22 standard deviation shorter than Utah residents with ancestry from northern and western Europe [CEU] on the basis of polygenic height scores, p = 3.89 × 10-4). We also found the trajectory of polygenic height scores between the Sardinian and the British populations diverged over at least the last 10,000 years (p = 0.0082), consistent with a signature of polygenic adaptation driven primarily by the Sardinian population. Although the polygenic score-based analysis showed a much subtler signature in mainland European populations, we found a clear and robust adaptive signature in the UK population by using a haplotype-based statistic, the trait singleton density score (tSDS), driven by the height-increasing alleles (p = 9.1 × 10-4). In summary, by ascertaining height loci in a distant East Asian population, we further supported the evidence of polygenic adaptation at height-associated loci among the Sardinians. In mainland Europeans, the adaptive signature was detected in haplotype-based analysis but not in polygenic score-based analysis.
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Affiliation(s)
- Minhui Chen
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato 09042, Cagliari, Italy
| | - Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Kazuyoshi Ishigaki
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Kyoto-McGill International Collaborative School in Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8501, Japan
| | - David Schlessinger
- Laboratory of Genetics and Genomics, National Institute on Aging, US National Institutes of Health, Baltimore, MD 21224, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato 09042, Cagliari, Italy
| | - Yukinori Okada
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Quantitative and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
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Deaths in SARS-Cov-2 Positive Patients in Italy: The Influence of Underlying Health Conditions on Lethality. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17124450. [PMID: 32575825 PMCID: PMC7344703 DOI: 10.3390/ijerph17124450] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/18/2020] [Accepted: 06/19/2020] [Indexed: 01/08/2023]
Abstract
This study aims to underline the clinical characteristics of patients who died after testing positive for SARS-CoV-2 infection in one region of Italian and to evaluate the influence of underlying health conditions on the fatal outcome. A matched case-control study was designed by analyzing the data regarding positive subjects observed up to April 21, 2020. The case fatality rate was 7.9%, with a higher proportion of deaths in men than women. The specific standardized mortality ratio was 0.15-0.13 for males and 0.2 for females, showing that mortality is much lower than expected. Cardiovascular diseases, chronic lung diseases and diabetes mellitus showed a significant association with the outcome. Although the case fatality rate in Sardinia in regard to age and gender patterns seems to be similar to that for Italy as a whole, its quantitative value was far lower than the national one and possible explanations might include the genetic characteristics of the Sardinian population or the immediate closure of its borders as soon as the epidemic started. Our results highlighted that lethality is strongly dependent on the presence of multiple concomitant serious diseases. It is important to have epidemiological strategies for effective guidance on public health actions in order to improve chances of survival.
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Sazzini M, Abondio P, Sarno S, Gnecchi-Ruscone GA, Ragno M, Giuliani C, De Fanti S, Ojeda-Granados C, Boattini A, Marquis J, Valsesia A, Carayol J, Raymond F, Pirazzini C, Marasco E, Ferrarini A, Xumerle L, Collino S, Mari D, Arosio B, Monti D, Passarino G, D'Aquila P, Pettener D, Luiselli D, Castellani G, Delledonne M, Descombes P, Franceschi C, Garagnani P. Genomic history of the Italian population recapitulates key evolutionary dynamics of both Continental and Southern Europeans. BMC Biol 2020; 18:51. [PMID: 32438927 PMCID: PMC7243322 DOI: 10.1186/s12915-020-00778-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 04/01/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The cline of human genetic diversity observable across Europe is recapitulated at a micro-geographic scale by variation within the Italian population. Besides resulting from extensive gene flow, this might be ascribable also to local adaptations to diverse ecological contexts evolved by people who anciently spread along the Italian Peninsula. Dissecting the evolutionary history of the ancestors of present-day Italians may thus improve the understanding of demographic and biological processes that contributed to shape the gene pool of European populations. However, previous SNP array-based studies failed to investigate the full spectrum of Italian variation, generally neglecting low-frequency genetic variants and examining a limited set of small effect size alleles, which may represent important determinants of population structure and complex adaptive traits. To overcome these issues, we analyzed 38 high-coverage whole-genome sequences representative of population clusters at the opposite ends of the cline of Italian variation, along with a large panel of modern and ancient Euro-Mediterranean genomes. RESULTS We provided evidence for the early divergence of Italian groups dating back to the Late Glacial and for Neolithic and distinct Bronze Age migrations having further differentiated their gene pools. We inferred adaptive evolution at insulin-related loci in people from Italian regions with a temperate climate, while possible adaptations to pathogens and ultraviolet radiation were observed in Mediterranean Italians. Some of these adaptive events may also have secondarily modulated population disease or longevity predisposition. CONCLUSIONS We disentangled the contribution of multiple migratory and adaptive events in shaping the heterogeneous Italian genomic background, which exemplify population dynamics and gene-environment interactions that played significant roles also in the formation of the Continental and Southern European genomic landscapes.
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Affiliation(s)
- Marco Sazzini
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy.
- Interdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy.
| | - Paolo Abondio
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Stefania Sarno
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | | | - Matteo Ragno
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Cristina Giuliani
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Sara De Fanti
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Claudia Ojeda-Granados
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
- Department of Molecular Biology in Medicine, Civil Hospital of Guadalajara "Fray Antonio Alcalde" and Health Sciences Center, University of Guadalajara, Guadalajara, Jalisco, Mexico
| | - Alessio Boattini
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Julien Marquis
- Nestlé Research, EPFL Innovation Park, Lausanne, Switzerland
- Current Address: Lausanne Genomic Technologies Facility, University of Lausanne, Lausanne, Switzerland
| | - Armand Valsesia
- Nestlé Research, EPFL Innovation Park, Lausanne, Switzerland
| | - Jerome Carayol
- Nestlé Research, EPFL Innovation Park, Lausanne, Switzerland
| | | | - Chiara Pirazzini
- IRCCS Bologna Institute of Neurological Sciences, Bologna, Italy
| | - Elena Marasco
- Department of Experimental, Diagnostic, and Specialty Medicine, University of Bologna, Bologna, Italy
- Applied Biomedical Research Center (CRBA), S. Orsola-Malpighi Polyclinic, Bologna, Italy
| | - Alberto Ferrarini
- Functional Genomics Laboratory, Department of Biotechnology, University of Verona, Verona, Italy
- Current Address: Menarini Silicon Biosystems SpA, Castel Maggiore, Bologna, Italy
| | - Luciano Xumerle
- Functional Genomics Laboratory, Department of Biotechnology, University of Verona, Verona, Italy
| | | | - Daniela Mari
- Geriatric Unit, Fondazione Ca' Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Beatrice Arosio
- Geriatric Unit, Fondazione Ca' Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Patrizia D'Aquila
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Davide Pettener
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Donata Luiselli
- Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Gastone Castellani
- Interdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy
- Department of Experimental, Diagnostic, and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Massimo Delledonne
- Functional Genomics Laboratory, Department of Biotechnology, University of Verona, Verona, Italy
| | | | - Claudio Franceschi
- Department of Applied Mathematics, Institute of Information Technology, Lobachevsky University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Paolo Garagnani
- Interdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy.
- Department of Experimental, Diagnostic, and Specialty Medicine, University of Bologna, Bologna, Italy.
- Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden.
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Paladini F, Fiorillo MT, Tedeschi V, D'Otolo V, Piga M, Cauli A, Mathieu A, Sorrentino R. The rs75862629 minor allele in the endoplasmic reticulum aminopeptidases intergenic region affects human leucocyte antigen B27 expression and protects from ankylosing spondylitis in Sardinia. Rheumatology (Oxford) 2020; 58:2315-2324. [PMID: 31209470 DOI: 10.1093/rheumatology/kez212] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 05/02/2019] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVES HLA-B27 and the endoplasmic reticulum aminopeptidase 1 (ERAP1) and ERAP2 genes are predisposing factors for AS. A single nucleotide polymorphism (SNP) in the ERAP2 promoter (rs75862629) coordinates the transcription of both ERAP genes. We investigated whether this SNP associates with AS and whether it affects the expression of the two major HLA-B27 alleles present in Sardinia, the AS-associated B*2705 and the non-AS-associated B*2709. METHODS Four SNPs in the ERAP region were genotyped in HLA-B*2705-positive patients with AS (n = 145), B27-positive healthy subjects (n = 126) and B27-negative controls (n = 250) and the allele and haplotype frequencies were derived. The expression of ERAP1 and ERAP2 mRNAs in 36 HLA-B27-positive B lymphoblastoid cell lines was measured by quantitative PCR. An electrophoretic mobility shift assay was performed to search for a nuclear factor binding the DNA sequence encompassing rs75862629. The expression of HLA-B27 molecules related to the SNP at rs75862629 was determined by flow cytometry. RESULTS The minor allele G at rs75862629 was found significantly increased in B27 healthy individuals, both B*2705 and B*2709, compared with B*2705-positive patients with AS and B27-negative controls. The electrophoretic mobility shift assay indicated the lack of binding of a transcription factor as the cause of the observed reduction in the ERAP2 concomitant with a higher ERAP1 expression. Of note, this occurs with a different cell surface expression of the HLA-B*2705 and HLA-B*2709 molecules. CONCLUSION SNP rs75862629, by modulating simultaneously the expression of ERAP1 and ERAP2, provides protection from AS in HLA-B27-positive subjects in Sardinia. This has a functional impact on HLA-B27 expression and likely on disease onset.
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Affiliation(s)
- Fabiana Paladini
- Department of Biology and Biotechnology "Charles Darwin", Sapienza University of Rome, Rome, Italy
| | - Maria Teresa Fiorillo
- Department of Biology and Biotechnology "Charles Darwin", Sapienza University of Rome, Rome, Italy
| | - Valentina Tedeschi
- Department of Biology and Biotechnology "Charles Darwin", Sapienza University of Rome, Rome, Italy
| | - Viviana D'Otolo
- Department of Biology and Biotechnology "Charles Darwin", Sapienza University of Rome, Rome, Italy
| | - Matteo Piga
- Rheumatology Unit, Department of Medical Sciences and Public Health, University and Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy
| | - Alberto Cauli
- Rheumatology Unit, Department of Medical Sciences and Public Health, University and Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy
| | - Alessandro Mathieu
- Rheumatology Unit, Department of Medical Sciences and Public Health, University and Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy
| | - Rosa Sorrentino
- Department of Biology and Biotechnology "Charles Darwin", Sapienza University of Rome, Rome, Italy
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Floris M, Sanna D, Castiglia P, Putzu C, Sanna V, Pazzola A, De Miglio MR, Sanges F, Pira G, Azara A, Lampis E, Serra A, Carru C, Steri M, Costanza F, Bisail M, Muroni MR. MTHFR, XRCC1 and OGG1 genetic polymorphisms in breast cancer: a case-control study in a population from North Sardinia. BMC Cancer 2020; 20:234. [PMID: 32192442 PMCID: PMC7083022 DOI: 10.1186/s12885-020-06749-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 03/12/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Despite conflicting results, considerable evidence suggests the association between single nucleotide polymorphisms in MTHFR, XRCC1 and OGG1 genes and, risk of developing breast cancer. Here a case-control study is reported, including 135 breat cancer patients and 112 healthy women, all representative of Northern Sardinian population. METHODS Polymerase chain reaction/restriction fragment length polymorphism method was used to determine the genotypes of five polymorphisms: MTHFR C677T (rs1801133) and A1298C (rs1801131), XRCC1 Arg194Trp (rs1799782) and Arg399Gln (rs25487) and OGG1 Ser326Cys (rs1052133). Allelic, genotypic and haplotype association analyses with disease risk and clinicopathological parameters were performed. RESULTS A nominally significant association with breast cancer risk was observed for MTHFR C677T polymorphism heterozygous genotype in the codominant model (OR: 0.57, 95% CI: 0.32-1.00, p = 0.049) and for Cys/Cys genotype of the OGG1 Ser326Cys polymorphism in the recessive model (OR: 0.23, 95% CI: 0.05-1.11, p = 0.0465). No significant differences were found at genotype-level for A1298C polymorphism of the MTHFR gene and Arg194Trp and Arg399Gln of the XRCC1 gene. Furthermore, the OGG1 and XRCC1 rs25487 polymorphisms were nominally associated with PgR, Her2 status and with sporadic breast cancer, respectively. CONCLUSIONS Based on genetic characteristics of individuals included in this study, results suggest that MTHFR CT and OGG1 Cys/Cys genotypes have a protective effect that may have an influence on breast cancer risk in a representative Northern Sardinian population.
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Affiliation(s)
- Matteo Floris
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy.
| | - Daria Sanna
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Paolo Castiglia
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Carlo Putzu
- Division of Medical Oncology, AOU Sassari, Sassari, Italy
| | - Valeria Sanna
- Division of Medical Oncology, AOU Sassari, Sassari, Italy
| | | | - Maria Rosaria De Miglio
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Francesca Sanges
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Giovanna Pira
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Antonio Azara
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Emanuele Lampis
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | | | - Ciriaco Carru
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Maristella Steri
- Institute for Genetic and Biomedical Research, National Research Council (CNR), Monserrato, Cagliari, Italy
| | - Flavia Costanza
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | | | - Maria Rosaria Muroni
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
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Neri M, Rossi R, Trabanelli C, Mauro A, Selvatici R, Falzarano MS, Spedicato N, Margutti A, Rimessi P, Fortunato F, Fabris M, Gualandi F, Comi G, Tedeschi S, Seia M, Fiorillo C, Traverso M, Bruno C, Giardina E, Piemontese MR, Merla G, Cau M, Marica M, Scuderi C, Borgione E, Tessa A, Astrea G, Santorelli FM, Merlini L, Mora M, Bernasconi P, Gibertini S, Sansone V, Mongini T, Berardinelli A, Pini A, Liguori R, Filosto M, Messina S, Vita G, Toscano A, Vita G, Pane M, Servidei S, Pegoraro E, Bello L, Travaglini L, Bertini E, D'Amico A, Ergoli M, Politano L, Torella A, Nigro V, Mercuri E, Ferlini A. The Genetic Landscape of Dystrophin Mutations in Italy: A Nationwide Study. Front Genet 2020; 11:131. [PMID: 32194622 PMCID: PMC7063120 DOI: 10.3389/fgene.2020.00131] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 02/03/2020] [Indexed: 12/11/2022] Open
Abstract
Dystrophinopathies are inherited diseases caused by mutations in the dystrophin (DMD) gene for which testing is mandatory for genetic diagnosis, reproductive choices and eligibility for personalized trials. We genotyped the DMD gene in our Italian cohort of 1902 patients (BMD n = 740, 39%; DMD n =1162, 61%) within a nationwide study involving 11 diagnostic centers in a 10-year window (2008–2017). In DMD patients, we found deletions in 57%, duplications in 11% and small mutations in 32%. In BMD, we found deletions in 78%, duplications in 9% and small mutations in 13%. In BMD, there are a higher number of deletions, and small mutations are more frequent than duplications. Among small mutations that are generally frequent in both phenotypes, 44% of DMD and 36% of BMD are nonsense, thus, eligible for stop codon read-through therapy; 63% of all out-of-frame deletions are eligible for single exon skipping. Patients were also assigned to Italian regions and showed interesting regional differences in mutation distribution. The full genetic characterization in this large, nationwide cohort has allowed us to draw several correlations between DMD/BMD genotype landscapes and mutation frequency, mutation types, mutation locations along the gene, exon/intron architecture, and relevant protein domain, with effects on population genetic characteristics and new personalized therapies.
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Affiliation(s)
- Marcella Neri
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Rachele Rossi
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Cecilia Trabanelli
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Antonio Mauro
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Rita Selvatici
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Maria Sofia Falzarano
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Noemi Spedicato
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Alice Margutti
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Paola Rimessi
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Fernanda Fortunato
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Marina Fabris
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Francesca Gualandi
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Giacomo Comi
- Neuroscience Section, Department of Pathophysiology and Transplantation, Dino Ferrari Center, University of Milan, Milan, Italy
| | - Silvana Tedeschi
- Laboratory of Medical Genetics, IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Manuela Seia
- Laboratory of Medical Genetics, IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Chiara Fiorillo
- Paediatric Neurology and Muscular Diseases Unit, University of Genoa and G. Gaslini Institute, Genoa, Italy
| | - Monica Traverso
- Paediatric Neurology and Muscular Diseases Unit, University of Genoa and G. Gaslini Institute, Genoa, Italy
| | - Claudio Bruno
- Center of Translational and Experimental Myology, IRCCS Gaslini, Genova, Italy
| | - Emiliano Giardina
- Molecular Genetics Laboratory UILDM, Santa Lucia Foundation, Rome, Italy
| | | | - Giuseppe Merla
- Division of Medical Genetics, IRCCS Casa Sollievo della Sofferenza, Foggia, Italy
| | - Milena Cau
- Laboratory of Genetics and Genomics, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
| | - Monica Marica
- Clinica Pediatrica e Malattie Rare, Brotzu, Cagliari, Italy
| | - Carmela Scuderi
- Unit of Neuromuscular Diseases, Oasi Research Institute-IRCCS, Troina, Italy
| | - Eugenia Borgione
- Unit of Neuromuscular Diseases, Oasi Research Institute-IRCCS, Troina, Italy
| | - Alessandra Tessa
- Department of Molecular Medicine, IRCCS Fondazione Stella Maris, Pisa, Italy
| | - Guia Astrea
- Department of Molecular Medicine, IRCCS Fondazione Stella Maris, Pisa, Italy
| | | | - Luciano Merlini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Marina Mora
- Neuromuscular Diseases and Neuroimmunology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Pia Bernasconi
- Neuromuscular Diseases and Neuroimmunology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Sara Gibertini
- Neuromuscular Diseases and Neuroimmunology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Valeria Sansone
- Neurorehabilitation Unit, Department Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Tiziana Mongini
- Neuromuscular Center, AOU Città della Salute e della Scienza, University of Turin, Turin, Italy
| | - Angela Berardinelli
- Child Neurology and Psychiatry Unit, "Casimiro Mondino" Foundation, Pavia, Italy
| | - Antonella Pini
- Child Neurology Unit, IRCCS Istituto delle Scienze Neurologiche, Bologna, Italy
| | - Rocco Liguori
- Department of Biomedical and Neuro Motor Sciences, University of Bologna, Bologna, Italy
| | - Massimiliano Filosto
- Laboratory of Medical Genetics, IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Sonia Messina
- Department of Clinical and Experimental Medicine, University of Messina and Nemo Sud Clinical Center, Messina, Italy
| | - Gianluca Vita
- Department of Clinical and Experimental Medicine, University of Messina and Nemo Sud Clinical Center, Messina, Italy
| | - Antonio Toscano
- Department of Clinical and Experimental Medicine, University of Messina and Nemo Sud Clinical Center, Messina, Italy
| | - Giuseppe Vita
- Department of Clinical and Experimental Medicine, University of Messina and Nemo Sud Clinical Center, Messina, Italy
| | - Marika Pane
- Centro Clinico Nemo, Policlinico A. Gemelli, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Serenella Servidei
- UOC Neurofisiopatologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Institute of Neurology, Catholic University of Sacred Heart, Rome, Italy
| | - Elena Pegoraro
- Department of Neurosciences, University of Padua, Padua, Italy
| | - Luca Bello
- Department of Neurosciences, University of Padua, Padua, Italy
| | - Lorena Travaglini
- Unit of Neuromuscular and Neurodegenerative Disorders, Department of Neurosciences, Bambino Gesu Children's Research Hospital IRCCS, Rome, Italy
| | - Enrico Bertini
- Unit of Neuromuscular and Neurodegenerative Disorders, Department of Neurosciences, Bambino Gesu Children's Research Hospital IRCCS, Rome, Italy
| | - Adele D'Amico
- Unit of Neuromuscular and Neurodegenerative Disorders, Department of Neurosciences, Bambino Gesu Children's Research Hospital IRCCS, Rome, Italy
| | - Manuela Ergoli
- Cardiomiology and Medical Genetics, University of Campania "Luigi Vanvitelli, Naples, Italy
| | - Luisa Politano
- Cardiomiology and Medical Genetics, University of Campania "Luigi Vanvitelli, Naples, Italy
| | - Annalaura Torella
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli, Naples, Italy
| | - Vincenzo Nigro
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli, Naples, Italy
| | - Eugenio Mercuri
- Centro Clinico Nemo, Policlinico A. Gemelli, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.,Pediatric Neurology, Catholic University, Rome, Italy
| | - Alessandra Ferlini
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.,Dubowitz Neuromuscular Unit, Institute of Child Health, University College London, London, United Kingdom
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Marcus JH, Posth C, Ringbauer H, Lai L, Skeates R, Sidore C, Beckett J, Furtwängler A, Olivieri A, Chiang CWK, Al-Asadi H, Dey K, Joseph TA, Liu CC, Der Sarkissian C, Radzevičiūtė R, Michel M, Gradoli MG, Marongiu P, Rubino S, Mazzarello V, Rovina D, La Fragola A, Serra RM, Bandiera P, Bianucci R, Pompianu E, Murgia C, Guirguis M, Orquin RP, Tuross N, van Dommelen P, Haak W, Reich D, Schlessinger D, Cucca F, Krause J, Novembre J. Genetic history from the Middle Neolithic to present on the Mediterranean island of Sardinia. Nat Commun 2020; 11:939. [PMID: 32094358 PMCID: PMC7039977 DOI: 10.1038/s41467-020-14523-6] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 01/08/2020] [Indexed: 11/30/2022] Open
Abstract
The island of Sardinia has been of particular interest to geneticists for decades. The current model for Sardinia's genetic history describes the island as harboring a founder population that was established largely from the Neolithic peoples of southern Europe and remained isolated from later Bronze Age expansions on the mainland. To evaluate this model, we generate genome-wide ancient DNA data for 70 individuals from 21 Sardinian archaeological sites spanning the Middle Neolithic through the Medieval period. The earliest individuals show a strong affinity to western Mediterranean Neolithic populations, followed by an extended period of genetic continuity on the island through the Nuragic period (second millennium BCE). Beginning with individuals from Phoenician/Punic sites (first millennium BCE), we observe spatially-varying signals of admixture with sources principally from the eastern and northern Mediterranean. Overall, our analysis sheds light on the genetic history of Sardinia, revealing how relationships to mainland populations shifted over time.
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MESH Headings
- Archaeology/methods
- Body Remains
- Chromosomes, Human, X/genetics
- Chromosomes, Human, Y/genetics
- DNA, Ancient
- DNA, Mitochondrial/genetics
- Datasets as Topic
- Female
- Genetics, Population/history
- History, 15th Century
- History, 16th Century
- History, 17th Century
- History, 18th Century
- History, 19th Century
- History, 20th Century
- History, 21st Century
- History, Ancient
- History, Medieval
- Human Migration
- Humans
- Italy
- Male
- Models, Genetic
- Sequence Analysis, DNA
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Affiliation(s)
- Joseph H Marcus
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Cosimo Posth
- Max Planck Institute for the Science of Human History, Jena, Germany
- Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany
| | - Harald Ringbauer
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Luca Lai
- Department of Anthropology, University of South Florida, Tampa, FL, USA
- Department of Anthropology, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Robin Skeates
- Department of Archaeology, Durham University, Durham, UK
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica - CNR, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | | | - Anja Furtwängler
- Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany
| | - Anna Olivieri
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani", Università di Pavia, Pavia, Italy
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Quantitative and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Hussein Al-Asadi
- Department of Statistics, University of Chicago, Chicago, IL, USA
- Committee on Evolutionary Biology, University of Chicago, Chicago, IL, USA
| | - Kushal Dey
- Department of Statistics, University of Chicago, Chicago, IL, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115, USA
| | - Tyler A Joseph
- Department of Computer Science, Columbia University, New York, NY, USA
| | - Chi-Chun Liu
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Clio Der Sarkissian
- Laboratoire d'Anthropologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse 3, Toulouse, France
| | - Rita Radzevičiūtė
- Max Planck Institute for the Science of Human History, Jena, Germany
| | - Megan Michel
- Max Planck Institute for the Science of Human History, Jena, Germany
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | | | - Patrizia Marongiu
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Salvatore Rubino
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | | | - Daniela Rovina
- Soprintendenza Archeologia, belle arti e paesaggio delle province di Sassari e Nuoro, Sassari, Italy
| | - Alessandra La Fragola
- Departamento de Geografía, Historia y Humanidades Escuela Internacional de Doctorado de la Universidad de Almería, Almería, Spain
| | - Rita Maria Serra
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
- Center for Anthropological, Paleopathological and Historical Studies of the Sardinian and Mediterranean Populations, University of Sassari, Sassari, Italy
| | - Pasquale Bandiera
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
- Center for Anthropological, Paleopathological and Historical Studies of the Sardinian and Mediterranean Populations, University of Sassari, Sassari, Italy
| | - Raffaella Bianucci
- Department of Sciences and Technological Innovation, University of Eastern Piedmont, 15121, Alessandria, Italy
- Legal Medicine Section, Department of Public Health and Paediatric Sciences, University of Turin, 10126, Turin, Italy
| | - Elisa Pompianu
- Department of History, Human Sciences and Education, University of Sassari, 07100, Sassari, Italy
| | - Clizia Murgia
- Universitat Autònoma de Barcelona, Departament de Biologia Animal, Biologia Vegetal i Ecologia, 08193, Barcelona, Spain
| | - Michele Guirguis
- Department of History, Human Sciences and Education, University of Sassari, 07100, Sassari, Italy
| | - Rosana Pla Orquin
- Department of History, Human Sciences and Education, University of Sassari, 07100, Sassari, Italy
| | - Noreen Tuross
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Peter van Dommelen
- Joukowsky Institute for Archaeology and the Ancient World, Brown University, Providence, RI, 02912, USA
| | - Wolfgang Haak
- Max Planck Institute for the Science of Human History, Jena, Germany
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean, Munich, Germany
| | | | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica - CNR, Cagliari, Italy.
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy.
| | - Johannes Krause
- Max Planck Institute for the Science of Human History, Jena, Germany.
- Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany.
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean, Munich, Germany.
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, IL, USA.
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
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The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean. Nat Ecol Evol 2020; 4:334-345. [PMID: 32094539 PMCID: PMC7080320 DOI: 10.1038/s41559-020-1102-0] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 01/08/2020] [Indexed: 11/08/2022]
Abstract
Steppe-pastoralist-related ancestry reached Central Europe by at least 2500 BC, whereas Iranian farmer-related ancestry was present in Aegean Europe by at least 1900 BC. However, the spread of these ancestries into the western Mediterranean, where they have contributed to many populations that live today, remains poorly understood. Here, we generated genome-wide ancient-DNA data from the Balearic Islands, Sicily and Sardinia, increasing the number of individuals with reported data from 5 to 66. The oldest individual from the Balearic Islands (~2400 BC) carried ancestry from steppe pastoralists that probably derived from west-to-east migration from Iberia, although two later Balearic individuals had less ancestry from steppe pastoralists. In Sicily, steppe pastoralist ancestry arrived by ~2200 BC, in part from Iberia; Iranian-related ancestry arrived by the mid-second millennium BC, contemporary to its previously documented spread to the Aegean; and there was large-scale population replacement after the Bronze Age. In Sardinia, nearly all ancestry derived from the island's early farmers until the first millennium BC, with the exception of an outlier from the third millennium BC, who had primarily North African ancestry and who-along with an approximately contemporary Iberian-documents widespread Africa-to-Europe gene flow in the Chalcolithic. Major immigration into Sardinia began in the first millennium BC and, at present, no more than 56-62% of Sardinian ancestry is from its first farmers. This value is lower than previous estimates, highlighting that Sardinia, similar to every other region in Europe, has been a stage for major movement and mixtures of people.
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45
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The genetic history of France. Eur J Hum Genet 2020; 28:853-865. [PMID: 32042083 DOI: 10.1038/s41431-020-0584-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 11/25/2019] [Accepted: 01/28/2020] [Indexed: 12/15/2022] Open
Abstract
The study of the genetic structure of different countries within Europe has provided significant insights into their demographic history and population structure. Although France occupies a particular location at the western part of Europe and at the crossroads of migration routes, few population genetic studies have been conducted so far with genome-wide data. In this study, we analyzed SNP-chip genetic data from 2184 individuals born in France who were enrolled in two independent population cohorts. Using FineSTRUCTURE, six different genetic clusters of individuals were found that were very consistent between the two cohorts. These clusters correspond closely to geographic, historical, and linguistic divisions of France, and contain different proportions of ancestry from Stone and Bronze Age populations. By modeling the relationship between genetics and geography using EEMS, we were able to detect gene flow barriers that are similar across the two cohorts and correspond to major rivers and mountain ranges. Estimations of effective population sizes also revealed very similar patterns in both cohorts with a rapid increase of effective population sizes over the last 150 generations similar to other European countries. A marked bottleneck is also consistently seen in the two datasets starting in the 14th century when the Black Death raged in Europe. In conclusion, by performing the first exhaustive study of the genetic structure of France, we fill a gap in genetic studies of Europe that will be useful to medical geneticists, historians, and archeologists.
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46
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Grugni V, Raveane A, Colombo G, Nici C, Crobu F, Ongaro L, Battaglia V, Sanna D, Al-Zahery N, Fiorani O, Lisa A, Ferretti L, Achilli A, Olivieri A, Francalacci P, Piazza A, Torroni A, Semino O. Y-chromosome and Surname Analyses for Reconstructing Past Population Structures: The Sardinian Population as a Test Case. Int J Mol Sci 2019; 20:E5763. [PMID: 31744094 PMCID: PMC6888588 DOI: 10.3390/ijms20225763] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 11/11/2019] [Accepted: 11/14/2019] [Indexed: 11/17/2022] Open
Abstract
Many anthropological, linguistic, genetic and genomic analyses have been carried out to evaluate the potential impact that evolutionary forces had in shaping the present-day Sardinian gene pool, the main outlier in the genetic landscape of Europe. However, due to the homogenizing effect of internal movements, which have intensified over the past fifty years, only partial information has been obtained about the main demographic events. To overcome this limitation, we analyzed the male-specific region of the Y chromosome in three population samples obtained by reallocating a large number of Sardinian subjects to the place of origin of their monophyletic surnames, which are paternally transmitted through generations in most of the populations, much like the Y chromosome. Three Y-chromosome founding lineages, G2-L91, I2-M26 and R1b-V88, were identified as strongly contributing to the definition of the outlying position of Sardinians in the European genetic context and marking a significant differentiation within the island. The present distribution of these lineages does not always mirror that detected in ancient DNAs. Our results show that the analysis of the Y-chromosome gene pool coupled with a sampling method based on the origin of the family name, is an efficient approach to unravelling past heterogeneity, often hidden by recent movements, in the gene pool of modern populations. Furthermore, the reconstruction and comparison of past genetic isolates represent a starting point to better assess the genetic information deriving from the increasing number of available ancient DNA samples.
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Affiliation(s)
- Viola Grugni
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Alessandro Raveane
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Giulia Colombo
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Carmen Nici
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Francesca Crobu
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Italy
| | - Linda Ongaro
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
- Estonian Biocentre, Institute of Genomics, Riia 23, 51010 Tartu, Estonia
- Department of Evolutionary Biology, Institute of Molecular and Cell Biology, Riia 23, 51010 Tartu, Estonia
| | - Vincenza Battaglia
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Daria Sanna
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
- Dipartimento di Scienze Biomediche, Università di Sassari, 07100 Sassari, Italy
| | - Nadia Al-Zahery
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Ornella Fiorani
- Istituto di Genetica Molecolare “L.L. Cavalli-Sforza”, Consiglio Nazionale delle Ricerche (CNR), 27100 Pavia, Italy; (O.F.); (A.L.)
| | - Antonella Lisa
- Istituto di Genetica Molecolare “L.L. Cavalli-Sforza”, Consiglio Nazionale delle Ricerche (CNR), 27100 Pavia, Italy; (O.F.); (A.L.)
| | - Luca Ferretti
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Alessandro Achilli
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Anna Olivieri
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Paolo Francalacci
- Dipartimento di Scienza della Vita e dell’Ambiente, Università di Cagliari, 09123 Cagliari, Italy;
| | - Alberto Piazza
- Dipartimento di Scienze Mediche, Scuola di Medicina, Università di Torino, 10124 Torino, Italy;
| | - Antonio Torroni
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
| | - Ornella Semino
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (V.G.); (A.R.); (G.C.); (C.N.); (F.C.); (L.O.); (V.B.); (D.S.); (N.A.-Z.); (L.F.); (A.A.); (A.O.); (A.T.)
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Colombino M, Paliogiannis P, Cossu A, Santeufemia DA, Sini MC, Casula M, Palomba G, Manca A, Pisano M, Doneddu V, Palmieri G. EGFR, KRAS, BRAF, ALK, and cMET genetic alterations in 1440 Sardinian patients with lung adenocarcinoma. BMC Pulm Med 2019; 19:209. [PMID: 31711449 PMCID: PMC6849322 DOI: 10.1186/s12890-019-0964-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 10/18/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Lung cancer is one of the most incident neoplastic diseases, and a leading cause of death for cancer worldwide. Knowledge of the incidence of druggable genetic alterations, their correlation with clinical and pathological features of the disease, and their interplay in cases of co-occurrence is crucial for selecting the best therapeutic strategies of patients with non-small cell lung cancer. In this real-life study, we describe the molecular epidemiology of genetic alterations in five driver genes and their correlations with the demographic and clinical characteristics of Sardinian patients with lung adenocarcinoma. METHODS Data from 1440 consecutive Sardinian patients with a histologically proven diagnosis of lung adenocarcinoma from January 2011 through July 2016 were prospectively investigated. EGFR mutation analysis was performed for all of them, while KRAS and BRAF mutations were searched in 1047 cases; ALK alterations were determined with fluorescence in situ hybridization in 899 cases, and cMET amplifications in 788 cases. RESULTS KRAS mutations were the most common genetic alterations involving 22.1% of the cases and being mutually exclusive with the EGFR mutations, which were found in 12.6% of them. BRAF mutations, ALK rearrangements, and cMET amplifications were detected in 3.2, 5.3, and 2.1% of the cases, respectively. Concomitant mutations were detected only in a few cases. CONCLUSIONS Almost all the genetic alterations studied showed a similar incidence in comparison with other Caucasian populations. Concomitant mutations were rare, and they probably have a scarce impact on the clinical management of Sardinians with lung adenocarcinoma. The low incidence of concomitant cMET amplifications at diagnosis suggests that these alterations are acquired in subsequent phases of the disease, often during treatment with TKIs.
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Affiliation(s)
- Maria Colombino
- Unit of Cancer Genetics, Institute Biomolecular Chemistry, CNR, Traversa La Crucca 3, 07100, Sassari, Italy
| | - Panagiotis Paliogiannis
- Department of Medical, Surgical, and Experimental Sciences, University of Sassari, Viale San Pietro 43, 07100, Sassari, Italy.
| | - Antonio Cossu
- Department of Medical, Surgical, and Experimental Sciences, University of Sassari, Viale San Pietro 43, 07100, Sassari, Italy
| | | | - Maria Cristina Sini
- Unit of Cancer Genetics, Institute Biomolecular Chemistry, CNR, Traversa La Crucca 3, 07100, Sassari, Italy
| | - Milena Casula
- Unit of Cancer Genetics, Institute Biomolecular Chemistry, CNR, Traversa La Crucca 3, 07100, Sassari, Italy
| | - Grazia Palomba
- Unit of Cancer Genetics, Institute Biomolecular Chemistry, CNR, Traversa La Crucca 3, 07100, Sassari, Italy
| | - Antonella Manca
- Unit of Cancer Genetics, Institute Biomolecular Chemistry, CNR, Traversa La Crucca 3, 07100, Sassari, Italy
| | - Marina Pisano
- Unit of Cancer Genetics, Institute Biomolecular Chemistry, CNR, Traversa La Crucca 3, 07100, Sassari, Italy
| | - Valentina Doneddu
- Department of Medical, Surgical, and Experimental Sciences, University of Sassari, Viale San Pietro 43, 07100, Sassari, Italy
| | - Giuseppe Palmieri
- Unit of Cancer Genetics, Institute Biomolecular Chemistry, CNR, Traversa La Crucca 3, 07100, Sassari, Italy
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48
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Tamm E, Di Cristofaro J, Mazières S, Pennarun E, Kushniarevich A, Raveane A, Semino O, Chiaroni J, Pereira L, Metspalu M, Montinaro F. Genome-wide analysis of Corsican population reveals a close affinity with Northern and Central Italy. Sci Rep 2019; 9:13581. [PMID: 31537848 PMCID: PMC6753063 DOI: 10.1038/s41598-019-49901-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 08/31/2019] [Indexed: 01/13/2023] Open
Abstract
Despite being the fourth largest island in the Mediterranean basin, the genetic variation of Corsica has not been explored as exhaustively as Sardinia, which is situated only 11 km South. However, it is likely that the populations of the two islands shared, at least in part, similar demographic histories. Moreover, the relative small size of the Corsica may have caused genetic isolation, which, in turn, might be relevant under medical and translational perspectives. Here we analysed genome wide data of 16 Corsicans, and integrated with newly (33 individuals) and previously generated samples from West Eurasia and North Africa. Allele frequency, haplotype-based, and ancient genome analyses suggest that although Sardinia and Corsica may have witnessed similar isolation and migration events, the latter is genetically closer to populations from continental Europe, such as Northern and Central Italians.
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Affiliation(s)
- Erika Tamm
- Institute of Genomics, University of Tartu, Tartu, Estonia.
| | - Julie Di Cristofaro
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.,Etablissement Français du Sang PACA Corse, Biologie des Groupes Sanguins, Marseille, France
| | | | - Erwan Pennarun
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Alena Kushniarevich
- Institute of Genomics, University of Tartu, Tartu, Estonia.,Institute of Genetics and Cytology, National Academy of Sciences of Belarus, Minsk, 220072, Belarus
| | - Alessandro Raveane
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani" Università di Pavia, Via Ferrata 9, 27100, Pavia, Italy
| | - Ornella Semino
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani" Università di Pavia, Via Ferrata 9, 27100, Pavia, Italy
| | - Jacques Chiaroni
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.,Etablissement Français du Sang PACA Corse, Biologie des Groupes Sanguins, Marseille, France
| | - Luisa Pereira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135, Porto, Portugal.,Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), 4200-135, Porto, Portugal
| | - Mait Metspalu
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Francesco Montinaro
- Institute of Genomics, University of Tartu, Tartu, Estonia. .,Department of Zoology, University of Oxford, Oxford, UK.
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49
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Locke AE, Steinberg KM, Chiang CWK, Service SK, Havulinna AS, Stell L, Pirinen M, Abel HJ, Chiang CC, Fulton RS, Jackson AU, Kang CJ, Kanchi KL, Koboldt DC, Larson DE, Nelson J, Nicholas TJ, Pietilä A, Ramensky V, Ray D, Scott LJ, Stringham HM, Vangipurapu J, Welch R, Yajnik P, Yin X, Eriksson JG, Ala-Korpela M, Järvelin MR, Männikkö M, Laivuori H, Dutcher SK, Stitziel NO, Wilson RK, Hall IM, Sabatti C, Palotie A, Salomaa V, Laakso M, Ripatti S, Boehnke M, Freimer NB. Exome sequencing of Finnish isolates enhances rare-variant association power. Nature 2019; 572:323-328. [PMID: 31367044 PMCID: PMC6697530 DOI: 10.1038/s41586-019-1457-z] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 07/02/2019] [Indexed: 12/30/2022]
Abstract
Exome-sequencing studies have generally been underpowered to identify deleterious alleles with a large effect on complex traits as such alleles are mostly rare. Because the population of northern and eastern Finland has expanded considerably and in isolation following a series of bottlenecks, individuals of these populations have numerous deleterious alleles at a relatively high frequency. Here, using exome sequencing of nearly 20,000 individuals from these regions, we investigate the role of rare coding variants in clinically relevant quantitative cardiometabolic traits. Exome-wide association studies for 64 quantitative traits identified 26 newly associated deleterious alleles. Of these 26 alleles, 19 are either unique to or more than 20 times more frequent in Finnish individuals than in other Europeans and show geographical clustering comparable to Mendelian disease mutations that are characteristic of the Finnish population. We estimate that sequencing studies of populations without this unique history would require hundreds of thousands to millions of participants to achieve comparable association power.
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Affiliation(s)
- Adam E Locke
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Karyn Meltz Steinberg
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Pediatrics, Washington University School of Medicine, St Louis, MO, USA
| | - Charleston W K Chiang
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Quantitative and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Susan K Service
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Aki S Havulinna
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Laurel Stell
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Matti Pirinen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Helsinki Institute for Information Technology HIIT and Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Haley J Abel
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Colby C Chiang
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Robert S Fulton
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Chul Joo Kang
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Krishna L Kanchi
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Daniel C Koboldt
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- The Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - David E Larson
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Joanne Nelson
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Thomas J Nicholas
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- USTAR Center for Genetic Discovery and Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
| | - Arto Pietilä
- National Institute for Health and Welfare, Helsinki, Finland
| | - Vasily Ramensky
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
- Federal State Institution "National Medical Research Center for Preventive Medicine" of the Ministry of Healthcare of the Russian Federation, Moscow, Russia
| | - Debashree Ray
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Departments of Epidemiology and Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Laura J Scott
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Heather M Stringham
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jagadish Vangipurapu
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ryan Welch
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Pranav Yajnik
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Xianyong Yin
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Johan G Eriksson
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Mika Ala-Korpela
- Systems Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, The Alfred Hospital, Monash University, Melbourne, Victoria, Australia
| | - Marjo-Riitta Järvelin
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Minna Männikkö
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Northern Finland Birth Cohorts, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Obstetrics and Gynecology, Tampere University Hospital and University of Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Susan K Dutcher
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Nathan O Stitziel
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- The Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Ira M Hall
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Chiara Sabatti
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Analytical and Translational Genetics Unit (ATGU), Psychiatric & Neurodevelopmental Genetics Unit, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
| | - Nelson B Freimer
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
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Wu L, Zeng T, Zinellu A, Rubino S, Kelvin DJ, Carru C. A Cross-Sectional Study of Compositional and Functional Profiles of Gut Microbiota in Sardinian Centenarians. mSystems 2019; 4:4/4/e00325-19. [PMID: 31289141 PMCID: PMC6616150 DOI: 10.1128/msystems.00325-19] [Citation(s) in RCA: 112] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 06/18/2019] [Indexed: 02/05/2023] Open
Abstract
Sardinia, Italy, has a high prevalence of residents who live more than 100 years. The reasons for longevity in this isolated region are currently unknown. Gut microbiota may hold a clue. To explore the role gut microbiota may play in healthy aging and longevity, we used metagenomic sequencing to determine the compositional and functional differences in gut microbiota associated with populations of different ages in Sardinia. Our data revealed that the gut microbiota of both young and elderly Sardinians shared similar taxonomic and functional profiles. A different pattern was found in centenarians. Within the centenarian group, the gut microbiota was correlated with the functional independence measurement of the host. Centenarians had a higher diversity of core microbiota species and microbial genes than those in the young and elderly. We found that the gut microbiota in Sardinian centenarians displayed a rearranged taxonomic pattern compared with those of the young and elderly, featured by depletion of Faecalibacterium prausnitzii and Eubacterium rectale and enriched for Methanobrevibacter smithii and Bifidobacterium adolescentis Moreover, functional analysis revealed that the microbiota in centenarians had high capacity for central metabolism, especially glycolysis and fermentation to short-chain fatty acids (SCFAs), although the gut microbiota in centenarians was low in genes encoding enzymes involved in degradation of carbohydrates, including fibers and galactose.IMPORTANCE The gut microbiota has been proposed as a promising determinant for human health. Centenarians as a model for extreme aging may help us understand the correlation of gut microbiota with healthy aging and longevity. Here we confirmed that centenarians had microbiota elements usually associated with benefits to health. Our finding of a high capacity of glycolysis and related SCFA production represented a healthy microbiome and environment that is regarded as beneficial for host gut epithelium. The low abundance of genes encoding components of pathways involved in carbohydrate degradation was also found in the gut microbiota of Sardinian centenarians and is often associated with poor gut health. Overall, our study here represents an expansion of previous research investigating the age-related changes in gut microbiota. Furthermore, our study provides a new prospective for potential targets for gut microbiota intervention directed at limiting gut inflammation and pathology and enhancing a healthy gut barrier.
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Affiliation(s)
- Lu Wu
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, Shantou, Guangdong, China
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Tiansheng Zeng
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, Shantou, Guangdong, China
| | - Angelo Zinellu
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Salvatore Rubino
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - David J Kelvin
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, Shantou, Guangdong, China
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Canada
| | - Ciriaco Carru
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
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