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Step K, Ndong Sima CAA, Mata I, Bardien S. Exploring the role of underrepresented populations in polygenic risk scores for neurodegenerative disease risk prediction. Front Neurosci 2024; 18:1380860. [PMID: 38859922 PMCID: PMC11163124 DOI: 10.3389/fnins.2024.1380860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 05/14/2024] [Indexed: 06/12/2024] Open
Affiliation(s)
- Kathryn Step
- Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Carene Anne Alene Ndong Sima
- Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Ignacio Mata
- Genomic Medicine, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, United States
| | - Soraya Bardien
- Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
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2
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Wong Y, Ignatieva A, Koskela J, Gorjanc G, Wohns AW, Kelleher J. A general and efficient representation of ancestral recombination graphs. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.03.565466. [PMID: 37961279 PMCID: PMC10635123 DOI: 10.1101/2023.11.03.565466] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
As a result of recombination, adjacent nucleotides can have different paths of genetic inheritance and therefore the genealogical trees for a sample of DNA sequences vary along the genome. The structure capturing the details of these intricately interwoven paths of inheritance is referred to as an ancestral recombination graph (ARG). Classical formalisms have focused on mapping coalescence and recombination events to the nodes in an ARG. This approach is out of step with modern developments, which do not represent genetic inheritance in terms of these events or explicitly infer them. We present a simple formalism that defines an ARG in terms of specific genomes and their intervals of genetic inheritance, and show how it generalises these classical treatments and encompasses the outputs of recent methods. We discuss nuances arising from this more general structure, and argue that it forms an appropriate basis for a software standard in this rapidly growing field.
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Affiliation(s)
- Yan Wong
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK
| | - Anastasia Ignatieva
- School of Mathematics and Statistics, University of Glasgow, UK
- Department of Statistics, University of Oxford, UK
| | - Jere Koskela
- School of Mathematics, Statistics and Physics, Newcastle University, UK
- Department of Statistics, University of Warwick, UK
| | - Gregor Gorjanc
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, UK
| | - Anthony W. Wohns
- Broad Institute of MIT and Harvard, Cambridge, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, USA
| | - Jerome Kelleher
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK
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3
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Stankowski S, Zagrodzka ZB, Garlovsky MD, Pal A, Shipilina D, Castillo DG, Lifchitz H, Le Moan A, Leder E, Reeve J, Johannesson K, Westram AM, Butlin RK. The genetic basis of a recent transition to live-bearing in marine snails. Science 2024; 383:114-119. [PMID: 38175895 DOI: 10.1126/science.adi2982] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 10/25/2023] [Indexed: 01/06/2024]
Abstract
Key innovations are fundamental to biological diversification, but their genetic basis is poorly understood. A recent transition from egg-laying to live-bearing in marine snails (Littorina spp.) provides the opportunity to study the genetic architecture of an innovation that has evolved repeatedly across animals. Individuals do not cluster by reproductive mode in a genome-wide phylogeny, but local genealogical analysis revealed numerous small genomic regions where all live-bearers carry the same core haplotype. Candidate regions show evidence for live-bearer-specific positive selection and are enriched for genes that are differentially expressed between egg-laying and live-bearing reproductive systems. Ages of selective sweeps suggest that live-bearer-specific alleles accumulated over more than 200,000 generations. Our results suggest that new functions evolve through the recruitment of many alleles rather than in a single evolutionary step.
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Affiliation(s)
- Sean Stankowski
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK
- Institute of Science and Technology Austria (ISTA), 3400 Klosterneuburg, Austria
- Department of Ecology and Evolution, University of Sussex, Brighton BN1 9RH, UK
| | - Zuzanna B Zagrodzka
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK
| | - Martin D Garlovsky
- Department of Applied Zoology, Faculty of Biology, Technische Universität Dresden, 01069 Dresden, Germany
| | - Arka Pal
- Institute of Science and Technology Austria (ISTA), 3400 Klosterneuburg, Austria
| | - Daria Shipilina
- Institute of Science and Technology Austria (ISTA), 3400 Klosterneuburg, Austria
- Department of Ecology and Genetics, Program of Evolutionary Biology, Uppsala University, SE-752 36 Uppsala, Sweden
| | | | - Hila Lifchitz
- Institute of Science and Technology Austria (ISTA), 3400 Klosterneuburg, Austria
| | - Alan Le Moan
- CNRS and Sorbonne Université, Station Biologique de Roscoff, 29680 Roscoff, France
- Department of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, 452 96 Strömstad, Sweden
| | - Erica Leder
- Department of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, 452 96 Strömstad, Sweden
- Natural History Museum, University of Oslo, 0562 Oslo, Norway
| | - James Reeve
- Department of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, 452 96 Strömstad, Sweden
| | - Kerstin Johannesson
- Department of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, 452 96 Strömstad, Sweden
| | - Anja M Westram
- Institute of Science and Technology Austria (ISTA), 3400 Klosterneuburg, Austria
- Faculty of Biosciences and Aquaculture, Nord University, N-8049 Bodø, Norway
| | - Roger K Butlin
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK
- Department of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, 452 96 Strömstad, Sweden
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4
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Lewanski AL, Grundler MC, Bradburd GS. The era of the ARG: An introduction to ancestral recombination graphs and their significance in empirical evolutionary genomics. PLoS Genet 2024; 20:e1011110. [PMID: 38236805 PMCID: PMC10796009 DOI: 10.1371/journal.pgen.1011110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2024] Open
Abstract
In the presence of recombination, the evolutionary relationships between a set of sampled genomes cannot be described by a single genealogical tree. Instead, the genomes are related by a complex, interwoven collection of genealogies formalized in a structure called an ancestral recombination graph (ARG). An ARG extensively encodes the ancestry of the genome(s) and thus is replete with valuable information for addressing diverse questions in evolutionary biology. Despite its potential utility, technological and methodological limitations, along with a lack of approachable literature, have severely restricted awareness and application of ARGs in evolution research. Excitingly, recent progress in ARG reconstruction and simulation have made ARG-based approaches feasible for many questions and systems. In this review, we provide an accessible introduction and exploration of ARGs, survey recent methodological breakthroughs, and describe the potential for ARGs to further existing goals and open avenues of inquiry that were previously inaccessible in evolutionary genomics. Through this discussion, we aim to more widely disseminate the promise of ARGs in evolutionary genomics and encourage the broader development and adoption of ARG-based inference.
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Affiliation(s)
- Alexander L. Lewanski
- Department of Integrative Biology, Michigan State University, East Lansing, Michigan, United States of America
- W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, Michigan, United States of America
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan, United States of America
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Michael C. Grundler
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Gideon S. Bradburd
- W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, Michigan, United States of America
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America
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5
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Rieseberg L, Warschefsky E, Burton J, Huang K, Sibbett B. Editorial 2024. Mol Ecol 2024; 33:e17239. [PMID: 38146175 DOI: 10.1111/mec.17239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Affiliation(s)
- Loren Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Emily Warschefsky
- William L. Brown Center, Missouri Botanical Garden, Saint Louis, MO, USA
| | - Jade Burton
- John Wiley & Sons, Atrium Southern Gate, Chichester, West Sussex, UK
| | - Kaichi Huang
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Benjamin Sibbett
- John Wiley & Sons, Atrium Southern Gate, Chichester, West Sussex, UK
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6
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Bock DG, Liu J, Novikova P, Rieseberg LH. Long-read sequencing in ecology and evolution: Understanding how complex genetic and epigenetic variants shape biodiversity. Mol Ecol 2023; 32:1229-1235. [PMID: 36855925 DOI: 10.1111/mec.16884] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/13/2023] [Indexed: 03/02/2023]
Affiliation(s)
- Dan G Bock
- Department of Botany, Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jianquan Liu
- State Key Laboratory of Grassland and Agro-ecosystems, Institute of Innovation Ecology, School of Life Science and the Supercomputing Center, Lanzhou University, Lanzhou, China.,Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Polina Novikova
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Loren H Rieseberg
- Department of Botany, Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
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