Zobrazeno 1 - 10
of 331
pro vyhledávání: '"Nan M. Laird"'
Autor:
Lystra P. Hayden, Brian D. Hobbs, Robert Busch, Michael H. Cho, Ming Liu, Camila M. Lopes-Ramos, David A. Lomas, Per Bakke, Amund Gulsvik, Edwin K. Silverman, James D. Crapo, Terri H. Beaty, Nan M. Laird, Christoph Lange, Dawn L. DeMeo
Publikováno v:
Respiratory Research, Vol 24, Iss 1, Pp 1-14 (2023)
Abstract Background The association between genetic variants on the X chromosome to risk of COPD has not been fully explored. We hypothesize that the X chromosome harbors variants important in determining risk of COPD related phenotypes and may drive
Externí odkaz:
https://doaj.org/article/71a1f12c51ed4f9e8a3f61b876cf0e2e
Autor:
Bernardo Hernández, Steven L. Gortmaker, Nan M. Laird, Graham A. Colditz, Socorro Parra-Cabrera, Karen E. Peterson
Publikováno v:
Salud Pública de México, Vol 42, Iss 4, Pp 315-323 (2000)
OBJETIVO: Evaluar la validez y reproducibilidad de un cuestionario autoaplicado de actividad e inactividad física en escolares de 10 a 14 años de la ciudad de México. MATERIAL Y MÉTODOS: Se desarrolló un cuestionario autoaplicado sobre la activi
Externí odkaz:
https://doaj.org/article/0022cebc3b6f42e3b4b436515a62a794
Autor:
Thomas J. Hoffmann, Nan M. Laird
Publikováno v:
Journal of Statistical Software, Vol 30, Iss 2 (2009)
The fgui R package is designed for developers of R packages, to help rapidly, and sometimes fully automatically, create a graphical user interface for a command line R package. The interface is built upon the Tcl/Tk graphical interface included in R.
Externí odkaz:
https://doaj.org/article/ab99cb4e936940209f992c11c3969e19
Autor:
Nan M. Laird
Publikováno v:
International Statistical Review. 90
Autor:
Nan M. Laird, Edward C. Hirschland
Publikováno v:
Significance. 18:34-39
Nan Laird is the Harvey V. Fineberg professor of biostatistics (emerita) at the Harvard T. H. Chan School of Public Health, and the winner of the 2021 International Prize in Statistics. In this interview with Ed Hirschland, she discusses her career a
Autor:
Behzad Etemad, Dandi Qiao, Sharon M. Lutz, Rudolph E. Tanzi, Nan M. Laird, Chloe M. Wu, Sanghun Lee, Edwin K. Silverman, Jonathan Z. Li, Surender Khurana, Julian Hecker, Dawn L. DeMeo, Sebastien Haneuse, Abbas Mohammadi, Michael H. Cho, Katharina Ribbeck, Christoph Lange, Adrienne G. Randolph, Manish Chandra Choudhary, Scott T. Weiss, Lindsey R. Baden, Georg Hahn, Elmira Esmaeilzadeh
Publikováno v:
Genetic Epidemiology
SARS‐CoV‐2 mortality has been extensively studied in relation to host susceptibility. How sequence variations in the SARS‐CoV‐2 genome affect pathogenicity is poorly understood. Starting in October 2020, using the methodology of genome‐wide
Autor:
Nan M. Laird, Jessica Lasky-Su, Cecelia A. Laurie, Julian Hecker, F. William Townes, Scott T. Weiss, Priyadarshini Kachroo, Michael H. Cho, John Ziniti, Christoph Lange
Publikováno v:
Bioinformatics
Motivation Analysis of rare variants in family-based studies remains a challenge. Transmission-based approaches provide robustness against population stratification, but the evaluation of the significance of test statistics based on asymptotic theory
Autor:
Winston Hide, Nan M. Laird, Julian Hecker, Rudolph E. Tanzi, Rory Kirchner, Christoph Lange, Oliver Hoffman, Dawn L. DeMeo, Dmitry Prokopenko, Kristina Mullin, Lars Bertram, Brad Chapman
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports
Scientific Reports
With the advent of whole genome-sequencing (WGS) studies, family-based designs enable sex-specific analysis approaches that can be applied to only affected individuals; tests using family-based designs are attractive because they are completely robus
Autor:
Cheryl A. Roe, Claire Churchhouse, Wei J. Chen, Felecia Cerrato, Sharon D. Chandler, Menachem Fromer, Ashley Dumont, Stephen V. Faraone, Stephen J. Glatt, Benjamin M. Neale, Hai-Gwo Hwu, Giulio Genovese, Mark J. Daly, Nan M. Laird, Samuel A. Rose, Shi-Heng Wang, Kaitlin E. Samocha, Kimberly Chambert, Jennifer L. Moran, Daniel P. Howrigan, Jack A. Kosmicki, Tarjinder Singh, Steven A. McCarroll, Ming T. Tsuang
Publikováno v:
Nature neuroscience, vol 23, iss 2
Nature neuroscience
Nature neuroscience
Protein-coding de novo mutations (DNMs) are significant risk factors in many neurodevelopmental disorders, whereas schizophrenia (SCZ) risk associated with DNMs has thus far been shown to be modest. We analyzed DNMs from 1,695 SCZ-affected trios and
Autor:
Weiner Mw, Rudolph E. Tanzi, Lars Bertram, Sanghun Lee, Christian E. Lange, Sarah L. Morgan, Dmitry Prokopenko, Kristina Mullin, Yuriko Katsumata, David W. Fardo, Winston Hide, Nan M. Laird, Julian Hecker
Alzheimer’s disease (AD) is a genetically complex disease for which roughly 30 genes have been identified via genome-wide association studies. We attempted to identify rare variants (minor allele frequency −6, using the burden test or the SKAT st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d905fc5e220528555b33a12fb3a76976
https://doi.org/10.1101/2021.06.09.21258576
https://doi.org/10.1101/2021.06.09.21258576