Wiedenhöft, John

[["dc.bibliographiccitation.artnumber","e6399"],["dc.bibliographiccitation.journal","PeerJ"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Bravo, Gustavo A."],["dc.contributor.author","Antonelli, Alexandre"],["dc.contributor.author","Bacon, Christine D."],["dc.contributor.author","Bartoszek, Krzysztof"],["dc.contributor.author","Blom, Mozes P. K."],["dc.contributor.author","Huynh, Stella"],["dc.contributor.author","Jones, Graham"],["dc.contributor.author","Knowles, L. Lacey"],["dc.contributor.author","Lamichhaney, Sangeet"],["dc.contributor.author","Marcussen, Thomas"],["dc.contributor.author","Morlon, Hélène"],["dc.contributor.author","Nakhleh, Luay K."],["dc.contributor.author","Oxelman, Bengt"],["dc.contributor.author","Pfeil, Bernard"],["dc.contributor.author","Schliep, Alexander"],["dc.contributor.author","Wahlberg, Niklas"],["dc.contributor.author","Werneck, Fernanda P."],["dc.contributor.author","Wiedenhoeft, John"],["dc.contributor.author","Willows-Munro, Sandi"],["dc.contributor.author","Edwards, Scott V."],["dc.date.accessioned","2019-08-01T13:00:36Z"],["dc.date.available","2019-08-01T13:00:36Z"],["dc.date.issued","2019"],["dc.description.abstract","Building the Tree of Life (ToL) is a major challenge of modern biology, requiring advances in cyberinfrastructure, data collection, theory, and more. Here, we argue that phylogenomics stands to benefit by embracing the many heterogeneous genomic signals emerging from the first decade of large-scale phylogenetic analysis spawned by high-throughput sequencing (HTS). Such signals include those most commonly encountered in phylogenomic datasets, such as incomplete lineage sorting, but also those reticulate processes emerging with greater frequency, such as recombination and introgression. Here we focus specifically on how phylogenetic methods can accommodate the heterogeneity incurred by such population genetic processes; we do not discuss phylogenetic methods that ignore such processes, such as concatenation or supermatrix approaches or supertrees. We suggest that methods of data acquisition and the types of markers used in phylogenomics will remain restricted until a posteriori methods of marker choice are made possible with routine whole-genome sequencing of taxa of interest. We discuss limitations and potential extensions of a model supporting innovation in phylogenomics today, the multispecies coalescent model (MSC). Macroevolutionary models that use phylogenies, such as character mapping, often ignore the heterogeneity on which building phylogenies increasingly rely and suggest that assimilating such heterogeneity is an important goal moving forward. Finally, we argue that an integrative cyberinfrastructure linking all steps of the process of building the ToL, from specimen acquisition in the field to publication and tracking of phylogenomic data, as well as a culture that values contributors at each step, are essential for progress."],["dc.identifier.doi","10.7717/peerj.6399"],["dc.identifier.pmid","30783571"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62253"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","2167-8359"],["dc.title","Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","16"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","npj Science of Learning"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Sauce, Bruno"],["dc.contributor.author","Wiedenhoeft, John"],["dc.contributor.author","Judd, Nicholas"],["dc.contributor.author","Klingberg, Torkel"],["dc.date.accessioned","2021-07-05T15:00:30Z"],["dc.date.available","2021-07-05T15:00:30Z"],["dc.date.issued","2021"],["dc.description.abstract","The interplay of genetic and environmental factors behind cognitive development has preoccupied multiple fields of science and sparked heated debates over the decades. Here we tested the hypothesis that developmental genes rely heavily on cognitive challenges—as opposed to natural maturation. Starting with a polygenic score (cogPGS) that previously explained variation in cognitive performance in adults, we estimated its effect in 344 children and adolescents (mean age of 12 years old, ranging from 6 to 25) who showed changes in working memory (WM) in two distinct samples: (1) a developmental sample showing significant WM gains after 2 years of typical, age-related development, and (2) a training sample showing significant, experimentally-induced WM gains after 25 days of an intense WM training. We found that the same genetic factor, cogPGS, significantly explained the amount of WM gain in both samples. And there was no interaction of cogPGS with sample, suggesting that those genetic factors are neutral to whether the WM gains came from development or training. These results represent evidence that cognitive challenges are a central piece in the gene-environment interplay during cognitive development. We believe our study sheds new light on previous findings of interindividual differences in education (rich-get-richer and compensation effects), brain plasticity in children, and the heritability increase of intelligence across the lifespan."],["dc.identifier.doi","10.1038/s41539-021-00096-6"],["dc.identifier.pii","96"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87840"],["dc.language.iso","en"],["dc.notes.intern","DOI Import DOI-Import GROB-441"],["dc.relation.eissn","2056-7936"],["dc.title","Change by challenge: A common genetic basis behind childhood cognitive development and cognitive training"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","12411"],["dc.bibliographiccitation.issue","22"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences"],["dc.bibliographiccitation.lastpage","12418"],["dc.bibliographiccitation.volume","117"],["dc.contributor.author","Judd, Nicholas"],["dc.contributor.author","Sauce, Bruno"],["dc.contributor.author","Wiedenhoeft, John"],["dc.contributor.author","Tromp, Jeshua"],["dc.contributor.author","Chaarani, Bader"],["dc.contributor.author","Schliep, Alexander"],["dc.contributor.author","van Noort, Betteke"],["dc.contributor.author","Penttilä, Jani"],["dc.contributor.author","Grimmer, Yvonne"],["dc.contributor.author","Insensee, Corinna"],["dc.contributor.author","Becker, Andreas"],["dc.contributor.author","Banaschewski, Tobias"],["dc.contributor.author","Bokde, Arun L. W."],["dc.contributor.author","Quinlan, Erin Burke"],["dc.contributor.author","Desrivières, Sylvane"],["dc.contributor.author","Flor, Herta"],["dc.contributor.author","Grigis, Antoine"],["dc.contributor.author","Gowland, Penny"],["dc.contributor.author","Heinz, Andreas"],["dc.contributor.author","Ittermann, Bernd"],["dc.contributor.author","Martinot, Jean-Luc"],["dc.contributor.author","Paillère Martinot, Marie-Laure"],["dc.contributor.author","Artiges, Eric"],["dc.contributor.author","Nees, Frauke"],["dc.contributor.author","Papadopoulos Orfanos, Dimitri"],["dc.contributor.author","Paus, Tomáš"],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Hohmann, Sarah"],["dc.contributor.author","Millenet, Sabina"],["dc.contributor.author","Fröhner, Juliane H."],["dc.contributor.author","Smolka, Michael N."],["dc.contributor.author","Walter, Henrik"],["dc.contributor.author","Whelan, Robert"],["dc.contributor.author","Schumann, Gunter"],["dc.contributor.author","Garavan, Hugh"],["dc.contributor.author","Klingberg, Torkel"],["dc.date.accessioned","2021-04-14T08:25:37Z"],["dc.date.available","2021-04-14T08:25:37Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1073/pnas.2001228117"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81690"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.title","Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]