Multivariate genome-wide association study on tissue-sensitive diffusion metrics highlights pathways that shape the human brain
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DOI: 10.1038/s41467-022-30110-3
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- Bradley Efron, 2020. "Prediction, Estimation, and Attribution," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(530), pages 636-655, April.
- Edith Hofer & Gennady V. Roshchupkin & Hieab H. H. Adams & Maria J. Knol & Honghuang Lin & Shuo Li & Habil Zare & Shahzad Ahmad & Nicola J. Armstrong & Claudia L. Satizabal & Manon Bernard & Joshua C., 2020. "Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
- Zhonghua Liu & Xihong Lin, 2019. "A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 975-990, July.
- Hamdan Hamdan & Brian C. Lim & Tomohiro Torii & Abhijeet Joshi & Matthias Konning & Cameron Smith & Donna J. Palmer & Philip Ng & Christophe Leterrier & Juan A. Oses-Prieto & Alma L. Burlingame & Matt, 2020. "Mapping axon initial segment structure and function by multiplexed proximity biotinylation," Nature Communications, Nature, vol. 11(1), pages 1-17, December.
- Dennis Meer & Oleksandr Frei & Tobias Kaufmann & Alexey A. Shadrin & Anna Devor & Olav B. Smeland & Wesley K. Thompson & Chun Chieh Fan & Dominic Holland & Lars T. Westlye & Ole A. Andreassen & Anders, 2020. "Understanding the genetic determinants of the brain with MOSTest," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
- Bradley Efron, 2020. "Prediction, Estimation, and Attribution," International Statistical Review, International Statistical Institute, vol. 88(S1), pages 28-59, December.
- Christiaan A de Leeuw & Joris M Mooij & Tom Heskes & Danielle Posthuma, 2015. "MAGMA: Generalized Gene-Set Analysis of GWAS Data," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-19, April.
- Lloyd T. Elliott & Kevin Sharp & Fidel Alfaro-Almagro & Sinan Shi & Karla L. Miller & Gwenaëlle Douaud & Jonathan Marchini & Stephen M. Smith, 2018. "Genome-wide association studies of brain imaging phenotypes in UK Biobank," Nature, Nature, vol. 562(7726), pages 210-216, October.
- Kyoko Watanabe & Erdogan Taskesen & Arjen Bochoven & Danielle Posthuma, 2017. "Functional mapping and annotation of genetic associations with FUMA," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
- Elodie Persyn & Ken B. Hanscombe & Joanna M. M. Howson & Cathryn M. Lewis & Matthew Traylor & Hugh S. Markus, 2020. "Genome-wide association study of MRI markers of cerebral small vessel disease in 42,310 participants," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
- Tian Ge & Martin Reuter & Anderson M. Winkler & Avram J. Holmes & Phil H. Lee & Lee S. Tirrell & Joshua L. Roffman & Randy L. Buckner & Jordan W. Smoller & Mert R. Sabuncu, 2016. "Multidimensional heritability analysis of neuroanatomical shape," Nature Communications, Nature, vol. 7(1), pages 1-10, December.
- Dennis Meer & Oleksandr Frei & Tobias Kaufmann & Alexey A. Shadrin & Anna Devor & Olav B. Smeland & Wesley K. Thompson & Chun Chieh Fan & Dominic Holland & Lars T. Westlye & Ole A. Andreassen & Anders, 2020. "Author Correction: Understanding the genetic determinants of the brain with MOSTest," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
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- E. P. Tissink & A. A. Shadrin & D. Meer & N. Parker & G. Hindley & D. Roelfs & O. Frei & C. C. Fan & M. Nagel & T. Nærland & M. Budisteanu & S. Djurovic & L. T. Westlye & M. P. Heuvel & D. Posthuma & , 2024. "Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
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