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dc.contributor.authorYoung, EA
dc.contributor.authorChesterton, E
dc.contributor.authorLummaa, V
dc.contributor.authorPostma, E
dc.contributor.authorDugdale, HL
dc.date.accessioned2023-05-12T11:51:38Z
dc.date.issued2023-05-10
dc.date.updated2023-05-12T10:50:49Z
dc.description.abstractAn individual's lifetime reproductive success (LRS) measures its realized genetic contributions to the next generation, but how well does it predict this over longer periods? Here we use human genealogical data to estimate expected individual genetic contributions (IGC) and quantify the degree to which LRS, relative to other fitness proxies, predicts IGC over longer periods. This allows an identification of the life-history stages that are most important in shaping variation in IGC. We use historical genealogical data from two non-isolated local populations in Switzerland to estimate the stabilized IGC for 2230 individuals approximately 10 generations after they were born. We find that LRS explains 30% less variation in IGC than the best predictor of IGC, the number of grandoffspring. However, albeit less precise than the number of grandoffspring, we show that LRS does provide an unbiased prediction of IGC. Furthermore, it predicts IGC better than lifespan, and accounting for offspring survival to adulthood does not improve the explanatory power. Overall, our findings demonstrate the value of human genealogical data to evolutionary biology and suggest that reproduction—more than lifespan or offspring survival—impacts the long-term genetic contributions of historic humans, even in a population with appreciable migration.en_GB
dc.description.sponsorshipSwiss National Science Foundationen_GB
dc.description.sponsorshipStrategic Research Council of the Academy of Finlanden_GB
dc.description.sponsorshipStrategic Research Council of the Academy of Finlanden_GB
dc.description.sponsorshipUniversity of Groningenen_GB
dc.identifier.citationVol. 290, article 20230287en_GB
dc.identifier.doihttps://doi.org/10.1098/rspb.2023.0287
dc.identifier.grantnumber31003A_159462en_GB
dc.identifier.grantnumber345185en_GB
dc.identifier.grantnumber345183en_GB
dc.identifier.urihttp://hdl.handle.net/10871/133124
dc.identifierORCID: 0000-0003-0856-1294 (Postma, Erik)
dc.language.isoenen_GB
dc.publisherThe Royal Societyen_GB
dc.relation.urlhttps://doi.org/10.34894/P2ETYZen_GB
dc.rights© 2023 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.en_GB
dc.subjectfitness proxyen_GB
dc.subjectgenetic contributionen_GB
dc.subjectlifetime reproductive successen_GB
dc.subjecthumanen_GB
dc.subjectlife historyen_GB
dc.subjectpedigreeen_GB
dc.titleThe long-lasting legacy of reproduction: lifetime reproductive success shapes expected genetic contributions of humans after 10 generationsen_GB
dc.typeArticleen_GB
dc.date.available2023-05-12T11:51:38Z
dc.identifier.issn0962-8452
dc.descriptionThis is the final version. Available from the Royal Society via the DOI in this record. en_GB
dc.descriptionData accessibility. All data and R scripts necessary for replicating the analysis can be accessed at Dataverse https://doi.org/10.34894/ P2ETYZ. The data are provided in the electronic supplementary materialen_GB
dc.identifier.eissn1471-2954
dc.identifier.journalProceedings of the Royal Society B: Biological Sciencesen_GB
dc.relation.ispartofProceedings of the Royal Society B: Biological Sciences, 290(1998)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-04-17
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-05-10
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-05-12T11:03:11Z
refterms.versionFCDVoR
refterms.dateFOA2023-05-12T11:51:39Z
refterms.panelAen_GB
refterms.dateFirstOnline2023-05-10


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© 2023 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution
License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original
author and source are credited.
Except where otherwise noted, this item's licence is described as © 2023 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.