Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Lorenzo Cappello"'
Autor:
Victoria N. Parikh, Alexander G. Ioannidis, David Jimenez-Morales, John E. Gorzynski, Hannah N. De Jong, Xiran Liu, Jonasel Roque, Victoria P. Cepeda-Espinoza, Kazutoyo Osoegawa, Chris Hughes, Shirley C. Sutton, Nathan Youlton, Ruchi Joshi, David Amar, Yosuke Tanigawa, Douglas Russo, Justin Wong, Jessie T. Lauzon, Jacob Edelson, Daniel Mas Montserrat, Yongchan Kwon, Simone Rubinacci, Olivier Delaneau, Lorenzo Cappello, Jaehee Kim, Massa J. Shoura, Archana N. Raja, Nathaniel Watson, Nathan Hammond, Elizabeth Spiteri, Kalyan C. Mallempati, Gonzalo Montero-Martín, Jeffrey Christle, Jennifer Kim, Anna Kirillova, Kinya Seo, Yong Huang, Chunli Zhao, Sonia Moreno-Grau, Steven G. Hershman, Karen P. Dalton, Jimmy Zhen, Jack Kamm, Karan D. Bhatt, Alina Isakova, Maurizio Morri, Thanmayi Ranganath, Catherine A. Blish, Angela J. Rogers, Kari Nadeau, Samuel Yang, Andra Blomkalns, Ruth O’Hara, Norma F. Neff, Christopher DeBoever, Sándor Szalma, Matthew T. Wheeler, Christian M. Gates, Kyle Farh, Gary P. Schroth, Phil Febbo, Francis deSouza, Omar E. Cornejo, Marcelo Fernandez-Vina, Amy Kistler, Julia A. Palacios, Benjamin A. Pinsky, Carlos D. Bustamante, Manuel A. Rivas, Euan A. Ashley
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
There is a genetic component to the risk of severe COVID-19, but the genetic effects are difficult to separate from social constructs that covary with genetic ancestry. To address this, the authors identify determinants of COVID-19 severity using adm
Externí odkaz:
https://doaj.org/article/10002eca5587461185e42393a7dc16a5
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 3, p e1010897 (2023)
The coalescent is a powerful statistical framework that allows us to infer past population dynamics leveraging the ancestral relationships reconstructed from sampled molecular sequence data. In many biomedical applications, such as in the study of in
Externí odkaz:
https://doaj.org/article/084a924089d94049aa7ad1f065218a0d
The coalescent is a powerful statistical framework that allows us to infer past population dynamics leveraging the ancestral relationships reconstructed from sampled molecular sequence data. In many biomedical applications, such as in the study of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eb47313ed68bd04db293f0219571d3d
https://doi.org/10.1101/2022.05.22.492976
https://doi.org/10.1101/2022.05.22.492976
Autor:
Marco Manzetti, Alberto Ruffilli, Francesca Barile, Michele Fiore, Giovanni Viroli, Lorenzo Cappello, Cesare Faldini
Publikováno v:
Clinical spine surgery.
This was a systematic review.The present study aims to review the available literature concerning sacroiliac joint (SIJ) pain and degeneration after lumbosacral fixation to identify the prevalence and potential risk factors.Although numerous factors
Autor:
Victoria N. Parikh, Alexander G. Ioannidis, David Jimenez-Morales, John E. Gorzynski, Hannah N. De Jong, Xiran Liu, Jonasel Roque, Victoria P. Cepeda-Espinoza, Kazutoyo Osoegawa, Chris Hughes, Shirley C. Sutton, Nathan Youlton, Ruchi Joshi, David Amar, Yosuke Tanigawa, Douglas Russo, Justin Wong, Jessie T. Lauzon, Jacob Edelson, Daniel Mas Montserrat, Yongchan Kwon, Simone Rubinacci, Olivier Delaneau, Lorenzo Cappello, Jaehee Kim, Massa J. Shoura, Archana N. Raja, Nathaniel Watson, Nathan Hammond, Elizabeth Spiteri, Kalyan C. Mallempati, Gonzalo Montero-Martín, Jeffrey Christle, Jennifer Kim, Anna Kirillova, Kinya Seo, Yong Huang, Chunli Zhao, Sonia Moreno-Grau, Steven G. Hershman, Karen P. Dalton, Jimmy Zhen, Jack Kamm, Karan D. Bhatt, Alina Isakova, Maurizio Morri, Thanmayi Ranganath, Catherine A. Blish, Angela J. Rogers, Kari Nadeau, Samuel Yang, Andra Blomkalns, Ruth O’Hara, Norma F. Neff, Christopher DeBoever, Sándor Szalma, Matthew T. Wheeler, Christian M. Gates, Kyle Farh, Gary P. Schroth, Phil Febbo, Francis deSouza, Omar E. Cornejo, Marcelo Fernandez-Vina, Amy Kistler, Julia A. Palacios, Benjamin A. Pinsky, Carlos D. Bustamante, Manuel A. Rivas, Euan A. Ashley
Publikováno v:
Nature communications, vol 13, iss 1
The SARS-CoV-2 pandemic has differentially impacted populations across race and ethnicity. A multi-omic approach represents a powerful tool to examine risk across multi-ancestry genomes. We leverage a pandemic tracking strategy in which we sequence v
Autor:
Kinya Seo, Jennifer Kim, Douglas Russo, David Jimenez-Morales, Lorenzo Cappello, Nathaniel Watson, Manuel A. Rivas, Archana Raja, Nathan Hammond, Marcelo Fernandez-Vina, Francis deSouza, Nathan Youlton, Steven G. Hershman, Kazutoyo Osoegawa, Olivier Delaneau, Shirley Sutton, Jessie T. Lauzon, Andra L. Blomkalns, Ruth O'Hara, Yongchan Kwon, Amy Kistler, Victoria N. Parikh, Yong Huang, Carlos Bustamante, Matthew T. Wheeler, Elizabeth Spiteri, Benjamin A. Pinsky, Jonasel Roque, Simone Rubinacci, Massa J. Shoura, Thanmayi Ranganath, Samuel Yang, John E. Gorzynski, Alina Isakova, Gary P. Schroth, Kyle Kai-How Farh, Yosuke Tanigawa, Ruchi Joshi, Hannah N. De Jong, Kalyan C. Mallempati, Catherine A. Blish, Christopher R. Hughes, Norma Neff, Justin Wong, Karan D. Bhatt, Sándor Szalma, Julia A. Palacios, Jimmy Zhen, Jack Kamm, Alexander G. Ioannidis, Anna Kirillova, Xiran Liu, Gonzalo Montero-Martín, Angela J. Rogers, Jeffrey W. Christle, David Amar, Maurizio Morri, Karen P. Dalton, Phil Febbo, Jaehee Kim, Victoria P. Cepeda-Espinoza, Sonia Moreno-Grau, Chunli Zhao, Christopher DeBoever, Euan A. Ashley, Kari C. Nadeau, Jacob Edelson, Daniel Mas Montserrat
The SARS-CoV-2 pandemic has differentially impacted populations of varied race, ethnicity and socioeconomic status. Admixture mapping and local ancestry inference represent powerful tools to examine genetic risk within multi-ancestry genomes independ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeee66778d9fd13a5991ed041ddf74c6
https://doi.org/10.1101/2021.08.04.21261547
https://doi.org/10.1101/2021.08.04.21261547
Publikováno v:
Stat Sci
Genomic surveillance of SARS-CoV-2 has been instrumental in tracking the spread and evolution of the virus during the pandemic. The availability of SARS-CoV-2 molecular sequences isolated from infected individuals, coupled with phylodynamic methods,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b8c7f96e115dd25a679bde08e6d0c2
Autor:
Lorenzo Cappello, Julia A. Palacios
Publikováno v:
ArXiv
Longitudinal molecular data of rapidly evolving viruses and pathogens provide information about disease spread and complement traditional surveillance approaches based on case count data. The coalescent is used to model the genealogy that represents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51e379a1ca0cce552e13c47138e41f24
Autor:
Lorenzo, Cappello, Julia A, Palacios
Publikováno v:
ArXiv.
Longitudinal molecular data of rapidly evolving viruses and pathogens provide information about disease spread and complement traditional surveillance approaches based on case count data. The coalescent is used to model the genealogy that represents
Autor:
Gonzalo Montero-Martín, Carlos Bustamante, Victoria N. Parikh, Manuel A. Rivas, Marcelo Fernandez-Vina, Amy Kistler, Shirley Sutton, David Amar, Yosuke Tanigawa, Matthew T. Wheeler, Kazutoyo Osoegawa, F Desouza, Christopher R. Hughes, Anna Kirillova, Archana Raja, Nathan Hammond, Norma Neff, Nathaniel Watson, Malaya K. Sahoo, Rob Bierman, Jack Kamm, Kyle Kai-How Farh, Phil Febbo, Ruchi Joshi, Simone Rubinacci, Alexander G. Ioannidis, Massa J. Shoura, Darren Liu, David Jimenez-Morales, Hannah N. De Jong, Euan A. Ashley, Jaehee Kim, Kinya Seo, Lorenzo Cappello, Kalyan C. Mallempati, John E. Gorzynski, Julia Salzman, Julia A. Palacios, Jeffrey W. Christle, Gary P. Schroth, Olivier Delaneau, Benjamin A. Pinsky, ChunHong Huang
Publikováno v:
medRxiv
During COVID19 and other viral pandemics, rapid generation of host and pathogen genomic data is critical to tracking infection and informing therapies. There is an urgent need for efficient approaches to this data generation at scale. We have develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b267b8364e4bf3503b9203dee6443c39
https://europepmc.org/articles/PMC7402057/
https://europepmc.org/articles/PMC7402057/