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Bárbara D. Bitarello on Muck Rack

Bárbara D. Bitarello

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Articles

Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus - Nature Human Behaviour

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By Iain Mathieson, Felix Day, eQTLGen Consortium, Ahmad Vaez, Bárbara D. Bitarello, Eugene J. Gardner, Evelina T Akimova, Sven Bergmann Verified, Lawrence F. Bielak, Dorret I. Boomsma, Daniel I. Chasman, Jorge E Chavarro, Maria Pina Concas, George Smith, Gail Davies, Oscar H Franco, Óscar Franco, Andrea Ganna, Audrey J Gaskins, Christian Gieger, Giorgia Girotto, Hans Jörgen Grabe, Erica Gunderson, Chunyan He, Eva Hoffmann, Georg Homuth, Jouke Jan Hottenga, M. Arfan Ikram, Rick Jansen, Magnus Johannesson, Zoha Kamali, Maryam Kavousi, Annette Kifley, Tuomo Kiiskinen, Peter Kraft, Claudia Langenberg, Penelope A. Lind, Jian’an Luan, Patrik Magnusson, Anubha Mahajan, Hamdi Mbarek, Andres Metspalu, Lili Milani, Anna Morgan, Matthias Nauck, Ilja M. Nolte, Raymond Noordam, Annette Peters, Patricia A. Peyser, Cornelius A. Rietveld, Susan M. Ring, Jennifer Smith, Stasa Stankovic, Alexander Teumer, Nicholas J Timpson, André G. Uitterlinden, Melanie Waldenberger, Nicholas J Wareham, David R. Weir, Wei Zhao, Yajie Zhao, Harold Snieder, Ken Ong, Melinda Mills, Massimiliano Cocca, FinnGen Study, Stine Møllegaard, Ajka Pribisalic, A. Roy Thurik
| Nature Verified
Author notes These authors contributed equally: Iain Mathieson, Felix R. Day, Nicola Barban, Felix C. Tropf, David M. Brazel, Melinda C. Mills, John R. B. Perry. Authors and Affiliations Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA Iain Mathieson & Bárbara D. Bitarello MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK Felix R. Day, Eugene J.
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Polygenic Scores for Height in Admixed Populations

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By C. Freeman, D. Petkova, G. Band, Bárbara D. Bitarello
| g3journal.org
G3: Genes, Genomes, Genetics November 1, 2020 vol. 10 no. 11 4027-4036; https://doi.org/10.1534/g3.120.401658 Open Access Abstract Polygenic risk scores (PRS) use the results of genome-wide association studies (GWAS) to predict quantitative phenotypes or disease risk at an individual level, and provide a potential route to the use of genetic data in personalized medical care. However, a major barrier to the use of PRS is that the majority of GWAS come from cohorts of European ancestry.
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