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Ferrando-Bernal M, Brand CM, Capra JA. Inferring human phenotypes using ancient DNA: from molecules to populations. Curr Opin Genet Dev 2025; 90:102283. [PMID: 39612613 DOI: 10.1016/j.gde.2024.102283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Revised: 10/04/2024] [Accepted: 11/04/2024] [Indexed: 12/01/2024]
Abstract
The increasing availability of ancient DNA (aDNA) from human groups across space and time has yielded deep insights into the movements of our species. However, given the challenges of mapping from genotype to phenotype, aDNA has revealed less about the phenotypes of ancient individuals. In this review, we highlight recent advances in inferring ancient phenotypes - from the molecular to population scale - with a focus on applications enabled by new machine learning approaches. The genetic architecture of complex traits across human groups suggests that the prediction of individual-level complex traits, like behavior or disease risk, is often challenging across the relevant evolutionary distances. Thus, we propose an approach that integrates predictions of molecular phenotypes, whose mechanisms are more conserved, with nongenetic data.
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Affiliation(s)
- Manuel Ferrando-Bernal
- Bakar Computational Health Science Institute, University of California San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
| | - Colin M Brand
- Bakar Computational Health Science Institute, University of California San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
| | - John A Capra
- Bakar Computational Health Science Institute, University of California San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA; Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.
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2
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Gelabert P, Bickle P, Hofmann D, Teschler-Nicola M, Anders A, Huang X, Hämmerle M, Olalde I, Fournier R, Ringbauer H, Akbari A, Cheronet O, Lazaridis I, Broomandkhoshbacht N, Fernandes DM, Buttinger K, Callan K, Candilio F, Bravo Morante G, Curtis E, Ferry M, Keating D, Freilich S, Kearns A, Harney É, Lawson AM, Mandl K, Michel M, Oberreiter V, Zagorc B, Oppenheimer J, Sawyer S, Schattke C, Özdoğan KT, Qiu L, Workman JN, Zalzala F, Mallick S, Mah M, Micco A, Pieler F, Pavuk J, Šefčáková A, Lazar C, Starović A, Djuric M, Krznarić Škrivanko M, Šlaus M, Bedić Ž, Novotny F, D Szabó L, Cserpák-Laczi O, Hága T, Szolnoki L, Hajdú Z, Mirea P, Nagy EG, Virág ZM, Horváth M A, Horváth LA, T Biró K, Domboróczki L, Szeniczey T, Jakucs J, Szelekovszky M, Zoltán F, Sztáncsuj SJ, Tóth K, Csengeri P, Pap I, Patay R, Putica A, Vasov B, Havasi B, Sebők K, Raczky P, Lovász G, Tvrdý Z, Rohland N, Novak M, Ruttkay M, Krošláková M, Bátora J, Paluch T, Borić D, Dani J, Kuhlwilm M, Palamara PF, Hajdu T, Pinhasi R, Reich D. Social and genetic diversity in first farmers of central Europe. Nat Hum Behav 2025; 9:53-64. [PMID: 39613963 PMCID: PMC11774665 DOI: 10.1038/s41562-024-02034-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 09/26/2024] [Indexed: 12/01/2024]
Abstract
The Linearbandkeramik (LBK) Neolithic communities were the first to spread farming across large parts of Europe. We report genome-wide data for 250 individuals: 178 individuals from whole-cemetery surveys of the Alföld Linearbankeramik Culture eastern LBK site of Polgár-Ferenci-hát, the western LBK site of Nitra Horné Krškany and the western LBK settlement and massacre site of Asparn-Schletz, as well as 48 LBK individuals from 16 other sites and 24 earlier Körös and Starčevo individuals from 17 more sites. Here we show a systematically higher percentage of western hunter-gatherer ancestry in eastern than in western LBK sites, showing that these two distinct LBK groups had different genetic trajectories. We find evidence for patrilocality, with more structure across sites in the male than in the female lines and a higher rate of within-site relatives for males. At Asparn-Schletz we find almost no relatives, showing that the massacred individuals were from a large population, not a small community.
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Affiliation(s)
- Pere Gelabert
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria.
| | - Penny Bickle
- Department of Archaeology, University of York, York, UK
| | | | - Maria Teschler-Nicola
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Department of Anthropology, Natural History Museum Vienna, Vienna, Austria
| | - Alexandra Anders
- Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
| | - Xin Huang
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Michelle Hämmerle
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Iñigo Olalde
- BIOMICs Research Group, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Ikerbasque-Basque Foundation of Science, Bilbao, Spain
| | | | - Harald Ringbauer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Ali Akbari
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Olivia Cheronet
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Iosif Lazaridis
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Nasreen Broomandkhoshbacht
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Daniel M Fernandes
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
- CIAS, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Katharina Buttinger
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Kim Callan
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | | | | | - Elizabeth Curtis
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Matthew Ferry
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Denise Keating
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Suzanne Freilich
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Aisling Kearns
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Éadaoin Harney
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Ann Marie Lawson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Kirsten Mandl
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Megan Michel
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Victoria Oberreiter
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Brina Zagorc
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Jonas Oppenheimer
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Susanna Sawyer
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Constanze Schattke
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | | | - Lijun Qiu
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - J Noah Workman
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Fatma Zalzala
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Swapan Mallick
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Matthew Mah
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Adam Micco
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Franz Pieler
- Collection of Prehistory and Historical Archaeology, State Collections of Lower Austria, Asparn an der Zaya, Austria
| | - Juraj Pavuk
- Institute of Archaeology, Slovak Academy of Sciences, Nitra, Slovakia
| | - Alena Šefčáková
- Department of Anthropology, Slovak National Museum-Natural History Museum, Bratislava, Slovak Republic
| | - Catalin Lazar
- Research Institute of the University of Bucharest, University of Bucharest, Bucharest, Romania
| | | | - Marija Djuric
- Faculty of Medicine, Center of Bone Biology, University of Belgrade, Belgrade, Serbia
| | | | - Mario Šlaus
- Anthropological Center, Croatian Academy of Sciences and Arts, Zagreb, Croatia
| | - Željka Bedić
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | - Friederike Novotny
- Department of Anthropology, Natural History Museum Vienna, Vienna, Austria
| | | | | | | | | | | | - Pavel Mirea
- Teleorman County Museum, Alexandria, Romania
| | | | - Zsuzsanna M Virág
- Department for Prehistory and Migration Period, Budapest History Museum, Budapest, Hungary
| | - Attila Horváth M
- Department for Prehistory and Migration Period, Budapest History Museum, Budapest, Hungary
| | - László András Horváth
- Department for Prehistory and Migration Period, Budapest History Museum, Budapest, Hungary
| | | | | | - Tamás Szeniczey
- Department of Biological Anthropology, Institute of Biology, Faculty of Science, Eötvös Loránd University, Budapest, Hungary
| | - János Jakucs
- HUN-REN Research Centre for the Humanities, Institute of Archaeology, Budapest, Hungary
| | | | | | | | | | | | - Ildikó Pap
- Department of Biological Anthropology, Institute of Biology, Faculty of Science, Eötvös Loránd University, Budapest, Hungary
- Department of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary
| | | | | | - Branislav Vasov
- Museum Unit of Public Library 'Branko Radičević', Odžaci, Serbia
| | | | - Katalin Sebők
- Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
| | - Pál Raczky
- Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
| | | | - Zdeněk Tvrdý
- Anthropos Institute, Moravian Museum, Brno, Czechia
| | - Nadin Rohland
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | - Matej Ruttkay
- Institute of Archaeology, Slovak Academy of Sciences, Nitra, Slovakia
| | - Maria Krošláková
- Institute of Archaeology, Slovak Academy of Sciences, Nitra, Slovakia
| | - Jozef Bátora
- Institute of Archaeology, Slovak Academy of Sciences, Nitra, Slovakia
| | - Tibor Paluch
- Department of Antiquities and Museum, Ras al Khaimah, United Arab Emirates
| | - Dušan Borić
- Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
- Department of Anthropology, New York University, New York, NY, USA
| | - János Dani
- Déri Museum, Debrecen, Hungary
- Department of Archaeology, Faculty of Arts and Social Sciences, University of Szeged, Szeged, Hungary
| | - Martin Kuhlwilm
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Pier Francesco Palamara
- Department of Statistics, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Tamás Hajdu
- Department of Biological Anthropology, Institute of Biology, Faculty of Science, Eötvös Loránd University, Budapest, Hungary
| | - Ron Pinhasi
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria.
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
- Howard Hughes Medical Institute, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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3
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Zhabagin M, Tashkarayeva A, Bukayev A, Zhunussova A, Ponomarev G, Tayshanova S, Maxutova A, Adamov D, Balanovska E, Sabitov Z. Genetic Polymorphism of Y-Chromosome in Turkmen Population from Turkmenistan. Genes (Basel) 2024; 15:1501. [PMID: 39766769 PMCID: PMC11675605 DOI: 10.3390/genes15121501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2024] [Revised: 11/13/2024] [Accepted: 11/19/2024] [Indexed: 01/11/2025] Open
Abstract
This study investigates the Y-chromosome genetic diversity of the Turkmen population in Turkmenistan, analyzing 23 Y-STR loci for the first time in a sample of 100 individuals. Combined with comparative data from Turkmen populations in Afghanistan, Iran, Iraq, Russia, and Uzbekistan, this analysis offers insights into the genetic structure and relationships among Turkmen populations across regions across Central Asia and the Near East. High haplotype diversity in the Turkmen of Turkmenistan is shaped by founder effects (lineage expansions) from distinct haplogroups, with haplogroups Q and R1a predominating. Subhaplogroups Q1a and Q1b identified in Turkmenistan trace back to ancient Y-chromosome lineages from the Bronze Age. Comparative analyses, including genetic distance (RST), median-joining network, and multidimensional scaling (MDS), highlight the genetic proximity of the Turkmen in Turkmenistan to those in Afghanistan and Iran, while Iraqi Turkmen display unique characteristics, aligning with Near Eastern populations. This study underscores the Central Asian genetic affinity across most Turkmen populations. It demonstrates the value of deep-sequencing Y-chromosome data in tracing the patrilineal history of Central Asia for future studies. These findings contribute to a more comprehensive understanding of Turkmen genetic ancestry and add new data to the ongoing study of Central Asian population genetics.
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Affiliation(s)
- Maxat Zhabagin
- National Center for Biotechnology, Astana 010000, Kazakhstan
- DNK Shejire LLP, Astana 010000, Kazakhstan
| | | | - Alizhan Bukayev
- National Center for Biotechnology, Astana 010000, Kazakhstan
| | | | | | | | - Albina Maxutova
- Kh. Dosmukhamedov Atyrau University, Atyrau 060000, Kazakhstan
| | - Dmitry Adamov
- Research Centre for Medical Genetics, Moscow 115522, Russia
| | | | - Zhaxylyk Sabitov
- Kh. Dosmukhamedov Atyrau University, Atyrau 060000, Kazakhstan
- L.N. Gumilyov Eurasian National University, Astana 010000, Kazakhstan
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4
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Barrios-Navas A, Nguyen TL, Gallo JE, Mariño-Ramírez L, Soto JMS, Sánchez A, Jordan IK, Valderrama-Aguirre A. Unveiling ancestral threads: Exploring CCR5 ∆32 mutation frequencies in Colombian populations for HIV/AIDS therapeutics. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 125:105680. [PMID: 39374819 PMCID: PMC11563905 DOI: 10.1016/j.meegid.2024.105680] [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: 07/25/2024] [Revised: 09/24/2024] [Accepted: 10/03/2024] [Indexed: 10/09/2024]
Abstract
AIDS remains a significant global health challenge since its emergence in 1981, with millions of deaths and new cases every year. The CCR5 ∆32 genetic deletion confers immunity to HIV infection by altering a cell membrane protein crucial for viral entry. Stem cell transplants from homozygous carriers of this mutation to HIV-infected individuals have resulted in viral load reduction and disease remission, suggesting a potential therapeutic avenue. This study aims to investigate the relationship between genetic ancestry and the frequency of the CCR5 ∆32 mutation in Colombian populations, exploring the feasibility of targeted donor searches based on ancestry composition. Utilizing genomic data from the CÓDIGO-Colombia consortium, comprising 532 individuals, the study assessed the presence of the CCR5 ∆32 mutation and examined if the population was on Hardy-Weinberg equilibrium. Individuals were stratified into clusters based on African, American, and European ancestry percentages, with logistic regression analysis performed to evaluate the association between ancestry and mutation frequency. Additionally, global genomic databases were utilized to visualize the worldwide distribution of the mutation. The findings revealed a significant positive association between European ancestry and the CCR5 ∆32 mutation frequency, underscoring its relevance in donor selection. African and American ancestry showed negative but non-significant associations with CCR5 ∆32 frequency, which may be attributed to the study's limitations. These results emphasize the potential importance of considering ancestry in donor selection strategies, reveal the scarcity of potential donors in Colombia, and underscore the need to consider donors from other populations with mainly European ancestry if the CCR5 ∆32 stem cell transplant becomes a routine treatment for HIV/AIDS in Colombia.
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Affiliation(s)
- Alejandro Barrios-Navas
- Grupo Instituto de Investigaciones Biomédicas, Departamento de Ciencias Biológicas, Facultad de Ciencias, Universidad de Los Andes, Bogotá, DC, Colombia
| | - Thanh Long Nguyen
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Juan Esteban Gallo
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, USA
| | - Leonardo Mariño-Ramírez
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, MD, USA
| | | | - Adalberto Sánchez
- Universidad del Valle, Faculty of Health, School of Basic Sciences, Cali, Valle del Cauca, Colombia
| | - I King Jordan
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Augusto Valderrama-Aguirre
- Grupo Instituto de Investigaciones Biomédicas, Departamento de Ciencias Biológicas, Facultad de Ciencias, Universidad de Los Andes, Bogotá, DC, Colombia.
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5
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Akbari A, Barton AR, Gazal S, Li Z, Kariminejad M, Perry A, Zeng Y, Mittnik A, Patterson N, Mah M, Zhou X, Price AL, Lander ES, Pinhasi R, Rohland N, Mallick S, Reich D. Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.14.613021. [PMID: 39314480 PMCID: PMC11419161 DOI: 10.1101/2024.09.14.613021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
We present a method for detecting evidence of natural selection in ancient DNA time-series data that leverages an opportunity not utilized in previous scans: testing for a consistent trend in allele frequency change over time. By applying this to 8433 West Eurasians who lived over the past 14000 years and 6510 contemporary people, we find an order of magnitude more genome-wide significant signals than previous studies: 347 independent loci with >99% probability of selection. Previous work showed that classic hard sweeps driving advantageous mutations to fixation have been rare over the broad span of human evolution, but in the last ten millennia, many hundreds of alleles have been affected by strong directional selection. Discoveries include an increase from ~0% to ~20% in 4000 years for the major risk factor for celiac disease at HLA-DQB1; a rise from ~0% to ~8% in 6000 years of blood type B; and fluctuating selection at the TYK2 tuberculosis risk allele rising from ~2% to ~9% from ~5500 to ~3000 years ago before dropping to ~3%. We identify instances of coordinated selection on alleles affecting the same trait, with the polygenic score today predictive of body fat percentage decreasing by around a standard deviation over ten millennia, consistent with the "Thrifty Gene" hypothesis that a genetic predisposition to store energy during food scarcity became disadvantageous after farming. We also identify selection for combinations of alleles that are today associated with lighter skin color, lower risk for schizophrenia and bipolar disease, slower health decline, and increased measures related to cognitive performance (scores on intelligence tests, household income, and years of schooling). These traits are measured in modern industrialized societies, so what phenotypes were adaptive in the past is unclear. We estimate selection coefficients at 9.9 million variants, enabling study of how Darwinian forces couple to allelic effects and shape the genetic architecture of complex traits.
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Affiliation(s)
- Ali Akbari
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alison R Barton
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Steven Gazal
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Zheng Li
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | | | - Annabel Perry
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yating Zeng
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Alissa Mittnik
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Nick Patterson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Xiang Zhou
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Alkes L Price
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Ron Pinhasi
- Department of Biology, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
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6
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Callaway E. From Vikings to Beethoven: what your DNA says about your ancient relatives. Nature 2024; 632:246-249. [PMID: 39112623 DOI: 10.1038/d41586-024-02536-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2024]
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7
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Bergström A. Improving data archiving practices in ancient genomics. Sci Data 2024; 11:754. [PMID: 38987254 PMCID: PMC11236975 DOI: 10.1038/s41597-024-03563-y] [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: 02/19/2024] [Accepted: 06/21/2024] [Indexed: 07/12/2024] Open
Abstract
Ancient DNA is producing a rich record of past genetic diversity in humans and other species. However, unless the primary data is appropriately archived, its long-term value will not be fully realised. I surveyed publicly archived data from 42 recent ancient genomics studies. Half of the studies archived incomplete datasets, preventing accurate replication and representing a loss of data of potential future use. No studies met all criteria that could be considered best practice. Based on these results, I make six recommendations for data producers: (1) archive all sequencing reads, not just those that aligned to a reference genome, (2) archive read alignments too, but as secondary analysis files, (3) provide correct experiment metadata on samples, libraries and sequencing runs, (4) provide informative sample metadata, (5) archive data from low-coverage and negative experiments, and (6) document archiving choices in papers, and peer review these. Given the reliance on destructive sampling of finite material, ancient genomics studies have a particularly strong responsibility to ensure the longevity and reusability of generated data.
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Affiliation(s)
- Anders Bergström
- School of Biological Sciences, University of East Anglia, Norwich, UK.
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8
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Grunin M, Triffon D, Beykin G, Rahmani E, Schweiger R, Tiosano L, Khateb S, Hagbi-Levi S, Rinsky B, Munitz R, Winkler TW, Heid IM, Halperin E, Carmi S, Chowers I. Genome wide association study and genomic risk prediction of age related macular degeneration in Israel. Sci Rep 2024; 14:13034. [PMID: 38844476 PMCID: PMC11156861 DOI: 10.1038/s41598-024-63065-0] [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: 12/22/2023] [Accepted: 05/24/2024] [Indexed: 06/09/2024] Open
Abstract
The risk of developing age-related macular degeneration (AMD) is influenced by genetic background. In 2016, the International AMD Genomics Consortium (IAMDGC) identified 52 risk variants in 34 loci, and a polygenic risk score (PRS) from these variants was associated with AMD. The Israeli population has a unique genetic composition: Ashkenazi Jewish (AJ), Jewish non-Ashkenazi, and Arab sub-populations. We aimed to perform a genome-wide association study (GWAS) for AMD in Israel, and to evaluate PRSs for AMD. Our discovery set recruited 403 AMD patients and 256 controls at Hadassah Medical Center. We genotyped individuals via custom exome chip. We imputed non-typed variants using cosmopolitan and AJ reference panels. We recruited additional 155 cases and 69 controls for validation. To evaluate predictive power of PRSs for AMD, we used IAMDGC summary-statistics excluding our study and developed PRSs via clumping/thresholding or LDpred2. In our discovery set, 31/34 loci reported by IAMDGC were AMD-associated (P < 0.05). Of those, all effects were directionally consistent with IAMDGC and 11 loci had a P-value under Bonferroni-corrected threshold (0.05/34 = 0.0015). At a 5 × 10-5 threshold, we discovered four suggestive associations in FAM189A1, IGDCC4, C7orf50, and CNTNAP4. Only the FAM189A1 variant was AMD-associated in the replication cohort after Bonferroni-correction. A prediction model including LDpred2-based PRS + covariates had an AUC of 0.82 (95% CI 0.79-0.85) and performed better than covariates-only model (P = 5.1 × 10-9). Therefore, previously reported AMD-associated loci were nominally associated with AMD in Israel. A PRS developed based on a large international study is predictive in Israeli populations.
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Affiliation(s)
- Michelle Grunin
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, POB 12271, 9112102, Jerusalem, Israel
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, POB 12000, 91120, Jerusalem, Israel
| | - Daria Triffon
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, POB 12271, 9112102, Jerusalem, Israel
| | - Gala Beykin
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, POB 12000, 91120, Jerusalem, Israel
| | - Elior Rahmani
- Department of Computational Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Regev Schweiger
- Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel
- Department of Genetics, University of Cambridge, CB21TN, Cambridge, UK
| | - Liran Tiosano
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, POB 12000, 91120, Jerusalem, Israel
| | - Samer Khateb
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, POB 12000, 91120, Jerusalem, Israel
| | - Shira Hagbi-Levi
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, POB 12000, 91120, Jerusalem, Israel
| | - Batya Rinsky
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, POB 12000, 91120, Jerusalem, Israel
| | - Refael Munitz
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, POB 12000, 91120, Jerusalem, Israel
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Eran Halperin
- Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel
- Department of Anesthesiology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Shai Carmi
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, POB 12271, 9112102, Jerusalem, Israel.
| | - Itay Chowers
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, POB 12000, 91120, Jerusalem, Israel.
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9
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Kmiecik MJ, Micheletti S, Coker D, Heilbron K, Shi J, Stagaman K, Filshtein Sonmez T, Fontanillas P, Shringarpure S, Wetzel M, Rowbotham HM, Cannon P, Shelton JF, Hinds DA, Tung JY, Holmes MV, Aslibekyan S, Norcliffe-Kaufmann L. Genetic analysis and natural history of Parkinson's disease due to the LRRK2 G2019S variant. Brain 2024; 147:1996-2008. [PMID: 38804604 PMCID: PMC11146432 DOI: 10.1093/brain/awae073] [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: 10/11/2023] [Revised: 01/26/2024] [Accepted: 02/06/2024] [Indexed: 05/29/2024] Open
Abstract
The LRRK2 G2019S variant is the most common cause of monogenic Parkinson's disease (PD); however, questions remain regarding the penetrance, clinical phenotype and natural history of carriers. We performed a 3.5-year prospective longitudinal online study in a large number of 1286 genotyped LRRK2 G2019S carriers and 109 154 controls, with and without PD, recruited from the 23andMe Research Cohort. We collected self-reported motor and non-motor symptoms every 6 months, as well as demographics, family histories and environmental risk factors. Incident cases of PD (phenoconverters) were identified at follow-up. We determined lifetime risk of PD using accelerated failure time modelling and explored the impact of polygenic risk on penetrance. We also computed the genetic ancestry of all LRRK2 G2019S carriers in the 23andMe database and identified regions of the world where carrier frequencies are highest. We observed that despite a 1 year longer disease duration (P = 0.016), LRRK2 G2019S carriers with PD had similar burden of motor symptoms, yet significantly fewer non-motor symptoms including cognitive difficulties, REM sleep behaviour disorder (RBD) and hyposmia (all P-values ≤ 0.0002). The cumulative incidence of PD in G2019S carriers by age 80 was 49%. G2019S carriers had a 10-fold risk of developing PD versus non-carriers. This rose to a 27-fold risk in G2019S carriers with a PD polygenic risk score in the top 25% versus non-carriers in the bottom 25%. In addition to identifying ancient founding events in people of North African and Ashkenazi descent, our genetic ancestry analyses infer that the G2019S variant was later introduced to Spanish colonial territories in the Americas. Our results suggest LRRK2 G2019S PD appears to be a slowly progressive predominantly motor subtype of PD with a lower prevalence of hyposmia, RBD and cognitive impairment. This suggests that the current prodromal criteria, which are based on idiopathic PD, may lack sensitivity to detect the early phases of LRRK2 PD in G2019S carriers. We show that polygenic burden may contribute to the development of PD in the LRRK2 G2019S carrier population. Collectively, the results should help support screening programmes and candidate enrichment strategies for upcoming trials of LRRK2 inhibitors in early-stage disease.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Paul Cannon
- 23andMe, Inc., Research, Sunnyvale, CA 94086, USA
| | | | | | - Joyce Y Tung
- 23andMe, Inc., Research, Sunnyvale, CA 94086, USA
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10
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Mallick S, Micco A, Mah M, Ringbauer H, Lazaridis I, Olalde I, Patterson N, Reich D. The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci Data 2024; 11:182. [PMID: 38341426 PMCID: PMC10858950 DOI: 10.1038/s41597-024-03031-7] [Citation(s) in RCA: 63] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
More than two hundred papers have reported genome-wide data from ancient humans. While the raw data for the vast majority are fully publicly available testifying to the commitment of the paleogenomics community to open data, formats for both raw data and meta-data differ. There is thus a need for uniform curation and a centralized, version-controlled compendium that researchers can download, analyze, and reference. Since 2019, we have been maintaining the Allen Ancient DNA Resource (AADR), which aims to provide an up-to-date, curated version of the world's published ancient human DNA data, represented at more than a million single nucleotide polymorphisms (SNPs) at which almost all ancient individuals have been assayed. The AADR has gone through six public releases at the time of writing and review of this manuscript, and crossed the threshold of >10,000 individuals with published genome-wide ancient DNA data at the end of 2022. This note is intended as a citable descriptor of the AADR.
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Affiliation(s)
- Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
| | - Adam Micco
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Harald Ringbauer
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
- Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Iosif Lazaridis
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Iñigo Olalde
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- BIOMICs Research Group, University of the Basque Country, 01006, Vitoria-Gasteiz, Spain
| | - Nick Patterson
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.
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11
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Novo I, Pérez-Pereira N, Santiago E, Quesada H, Caballero A. An empirical test of the estimation of historical effective population size using Drosophila melanogaster. Mol Ecol Resour 2023; 23:1632-1640. [PMID: 37455584 DOI: 10.1111/1755-0998.13837] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/07/2023] [Accepted: 07/05/2023] [Indexed: 07/18/2023]
Abstract
The availability of a large number of high-density markers (SNPs) allows the estimation of historical effective population size (Ne ) from linkage disequilibrium between loci. A recent refinement of methods to estimate historical Ne from the recent past has been shown to be rather accurate with simulation data. The method has also been applied to real data for numerous species. However, the simulation data cannot encompass all the complexities of real genomes, and the performance of any estimation method with real data is always uncertain, as the true demography of the populations is not known. Here, we carried out an experimental design with Drosophila melanogaster to test the method with real data following a known demographic history. We used a population maintained in the laboratory with a constant census size of about 2800 individuals and subjected the population to a drastic decline to a size of 100 individuals. After a few generations, the population was expanded back to the previous size and after a few further generations again expanded to twice the initial size. Estimates of historical Ne were obtained with the software GONE both for autosomal and X chromosomes from samples of 17 individuals sequenced for the whole genome. Estimates of the historical effective size were able to infer the patterns of changes that occurred in the populations showing generally good performance of the method. We discuss the limitations of the method and the application of the software carried out so far.
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Affiliation(s)
- Irene Novo
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, Vigo, Spain
| | - Noelia Pérez-Pereira
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, Vigo, Spain
| | - Enrique Santiago
- Departamento de Biología Funcional, Facultad de Biología, Universidad de Oviedo, Oviedo, Spain
| | - Humberto Quesada
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, Vigo, Spain
| | - Armando Caballero
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, Vigo, Spain
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12
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Grunin M, Triffon D, Beykin G, Rahmani E, Schweiger R, Tiosano L, Khateb S, Hagbi-Levi S, Rinsky B, Munitz R, Winkler TW, Heid IM, Halperin E, Carmi S, Chowers I. Genome-wide association study and genomic risk prediction of age-related macular degeneration in Israel. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.06.23295126. [PMID: 37732190 PMCID: PMC10508791 DOI: 10.1101/2023.09.06.23295126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Purpose The risk of developing age-related macular degeneration(AMD) is influenced by genetic background. In 2016, International AMD Genomics Consortium(IAMDGC) identified 52 risk variants in 34 loci, and a polygenic risk score(PRS) based on these variants was associated with AMD. The Israeli population has a unique genetic composition: Ashkenazi Jewish(AJ), Jewish non-Ashkenazi, and Arab sub-populations. We aimed to perform a genome-wide association study(GWAS) for AMD in Israel, and to evaluate PRSs for AMD. Methods For our discovery set, we recruited 403 AMD patients and 256 controls at Hadassah Medical Center. We genotyped all individuals via custom exome chip. We imputed non-typed variants using cosmopolitan and AJ reference panels. We recruited additional 155 cases and 69 controls for validation. To evaluate predictive power of PRSs for AMD, we used IAMDGC summary statistics excluding our study and developed PRSs via either clumping/thresholding or LDpred2. Results In our discovery set, 31/34 loci previously reported by the IAMDGC were AMD associated with P<0.05. Of those, all effects were directionally consistent with the IAMDGC and 11 loci had a p-value under Bonferroni-corrected threshold(0.05/34=0.0015). At a threshold of 5x10 -5 , we discovered four suggestive associations in FAM189A1 , IGDCC4 , C7orf50 , and CNTNAP4 . However, only the FAM189A1 variant was AMD associated in the replication cohort after Bonferroni-correction. A prediction model including LDpred2-based PRS and other covariates had an AUC of 0.82(95%CI:0.79-0.85) and performed better than a covariates-only model(P=5.1x10 -9 ). Conclusions Previously reported AMD-associated loci were nominally associated with AMD in Israel. A PRS developed based on a large international study is predictive in Israeli populations.
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13
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Gershoni M, Braun T, Hauser R, Barda S, Lehavi O, Malcov M, Frumkin T, Kalma Y, Pietrokovski S, Arama E, Kleiman SE. A pathogenic variant in the uncharacterized RNF212B gene results in severe aneuploidy male infertility and repeated IVF failure. HGG ADVANCES 2023; 4:100189. [PMID: 37124137 PMCID: PMC10133878 DOI: 10.1016/j.xhgg.2023.100189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/28/2023] [Indexed: 05/02/2023] Open
Abstract
Quantitative and qualitative spermatogenic impairments are major causes of men's infertility. Although in vitro fertilization (IVF) is effective, some couples persistently fail to conceive. To identify causal variants in patients with severe male infertility factor and repeated IVF failures, we sequenced the exome of two consanguineous family members who underwent several failed IVF cycles and were diagnosed with low sperm count and motility. We identified a rare homozygous nonsense mutation in a previously uncharacterized gene, RNF212B, as the causative variant. Recurrence was identified in another unrelated, infertile patient who also faced repeated failed IVF treatments. scRNA-seq demonstrated meiosis-specific expression of RNF212B. Sequence analysis located a protein domain known to be associated with aneuploidy, which can explain multiple IVF failures. Accordingly, FISH analysis revealed a high aneuploidy rate in the patients' sperm cells and their IVF embryos. Finally, inactivation of the Drosophila orthologs significantly reduced male fertility. Given that members of the evolutionary conserved RNF212 gene family are involved in meiotic recombination and crossover maturation, our findings indicate a critical role of RNF212B in meiosis, genome stability, and in human fertility. Since recombination is completely absent in Drosophila males, our findings may indicate an additional unrelated role for the RNF212-like paralogs in spermatogenesis.
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Affiliation(s)
- Moran Gershoni
- ARO-The Volcani Center Institute of Animal Science, Bet Dagan, Israel
- Corresponding author
| | - Tslil Braun
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Ron Hauser
- Racine IVF Unit and Male Fertility Clinic and Sperm Bank, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shimi Barda
- Racine IVF Unit and Male Fertility Clinic and Sperm Bank, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ofer Lehavi
- Racine IVF Unit and Male Fertility Clinic and Sperm Bank, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mira Malcov
- Racine IVF Unit and Male Fertility Clinic and Sperm Bank, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tsvia Frumkin
- Racine IVF Unit and Male Fertility Clinic and Sperm Bank, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Yael Kalma
- Racine IVF Unit and Male Fertility Clinic and Sperm Bank, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shmuel Pietrokovski
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Corresponding author
| | - Eli Arama
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Corresponding author
| | - Sandra E. Kleiman
- Racine IVF Unit and Male Fertility Clinic and Sperm Bank, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Corresponding author
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14
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González-Duarte A, Cotrina-Vidal M, Kaufmann H, Norcliffe-Kaufmann L. Familial dysautonomia. Clin Auton Res 2023; 33:269-280. [PMID: 37204536 DOI: 10.1007/s10286-023-00941-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 03/30/2023] [Indexed: 05/20/2023]
Abstract
Familial dysautonomia (FD) is an autosomal recessive hereditary sensory and autonomic neuropathy (HSAN, type 3) expressed at birth with profound sensory loss and early death. The FD founder mutation in the ELP1 gene arose within the Ashkenazi Jews in the sixteenth century and is present in 1:30 Jews of European ancestry. The mutation yield a tissue-specific skipping of exon 20 and a loss of function of the elongator-1 protein (ELP1), which is essential for the development and survival of neurons. Patients with FD produce variable amounts of ELP1 in different tissues, with the brain producing mostly mutant transcripts. Patients have excessive blood pressure variability due to the failure of the IXth and Xth cranial nerves to carry baroreceptor signals. Neurogenic dysphagia causes frequent aspiration leading to chronic pulmonary disease. Characteristic hyperadrenergic "autonomic crises" consisting of brisk episodes of severe hypertension, tachycardia, skin blotching, retching, and vomiting occur in all patients. Progressive features of the disease include retinal nerve fiber loss and blindness, and proprioceptive ataxia with severe gait impairment. Chemoreflex failure may explain the high frequency of sudden death in sleep. Although 99.5% of patients are homozygous for the founder mutation, phenotypic severity varies, suggesting that modifier genes impact expression. Medical management is currently symptomatic and preventive. Disease-modifying therapies are close to clinical testing. Endpoints to measure efficacy have been developed, and the ELP1 levels are a good surrogate endpoint for target engagement. Early intervention may be critical for treatment to be successful.
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Affiliation(s)
- Alejandra González-Duarte
- Department of Neurology, Dysautonomia Center, New York University School of Medicine, New York, NY, USA.
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, CdMx, México.
| | - Maria Cotrina-Vidal
- Department of Neurology, Stroke Division. New York University School of Medicine, New York, NY, USA
| | - Horacio Kaufmann
- Department of Neurology, Dysautonomia Center, New York University School of Medicine, New York, NY, USA
| | - Lucy Norcliffe-Kaufmann
- Department of Neurology, Dysautonomia Center, New York University School of Medicine, New York, NY, USA
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