Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Michael March"'
Autor:
Dong Li, Sarah Sheppard, Michael March, Mark Battig, Lea Surrey, Abhay Srinivasan, Alexandra Borst, Fengxiang Wang, Tamjeed Sikder, Nora O’Connor, Alexandria Thomas, Erin Pinto, Allison Britt, Joseph Napoli, David Low, Seth Vatsky, James Treat, Janet Reid, Christopher Smith, Kristen Snyder, Anne Marie Cahill, Yoav Dori, Denise Adams, Hakon Hakonarson
Publikováno v:
Genetics in Medicine Open, Vol 2, Iss , Pp 101020- (2024)
Externí odkaz:
https://doaj.org/article/5254d3a8fcda434d9f4e3af2dfc1888e
Autor:
Amir Hossein Saeidian, Deborah Watson, Xiang Wang, Margaret Harr, Shannon Terek, Michael March, Haijun Qiu, Isabella Barcelos, Patrick Sleiman, Joseph Glessner, Hakon Hakonarson
Publikováno v:
Genetics in Medicine Open, Vol 1, Iss 1, Pp 100314- (2023)
Externí odkaz:
https://doaj.org/article/04dd525c7541473691cbe77ae086d58d
Insights into non-autoimmune type 1 diabetes with 13 novel loci in low polygenic risk score patients
Autor:
Jingchun Qu, Hui-Qi Qu, Jonathan P. Bradfield, Joseph T. Glessner, Xiao Chang, Lifeng Tian, Michael March, John J. Connolly, Jeffrey D. Roizen, Patrick M. A. Sleiman, Hakon Hakonarson
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract With polygenic risk score (PRS) for autoimmune type 1 diabetes (T1D), this study identified T1D cases with low T1D PRS and searched for susceptibility loci in these cases. Our hypothesis is that genetic effects (likely mediated by relatively
Externí odkaz:
https://doaj.org/article/ed9a2299120543618940a4496e3810ca
Autor:
Hui-Qi Qu, Jingchun Qu, Jonathan Bradfield, Luc Marchand, Joseph Glessner, Xiao Chang, Michael March, Jin Li, John J. Connolly, Jeffrey D. Roizen, Patrick Sleiman, Constantin Polychronakos, Hakon Hakonarson
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
Hui-Qi Qu et al. present a case-control association study to examine the genetic architecture of European patients with type 1 diabetes (T1D) of low genetic risk score. They identify 41 loci associated with T1D of low genetic risk score, including re
Externí odkaz:
https://doaj.org/article/299624c58fdb434482bd26884aea79ed
Autor:
Yun Rose Li, Joseph T. Glessner, Bradley P. Coe, Jin Li, Maede Mohebnasab, Xiao Chang, John Connolly, Charlly Kao, Zhi Wei, Jonathan Bradfield, Cecilia Kim, Cuiping Hou, Munir Khan, Frank Mentch, Haijun Qiu, Marina Bakay, Christopher Cardinale, Maria Lemma, Debra Abrams, Andrew Bridglall-Jhingoor, Meckenzie Behr, Shanell Harrison, George Otieno, Alexandria Thomas, Fengxiang Wang, Rosetta Chiavacci, Lawrence Wu, Dexter Hadley, Elizabeth Goldmuntz, Josephine Elia, John Maris, Robert Grundmeier, Marcella Devoto, Brendan Keating, Michael March, Renata Pellagrino, Struan F. A. Grant, Patrick M. A. Sleiman, Mingyao Li, Evan E. Eichler, Hakon Hakonarson
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Associations of copy number variations (CNVs) with complex traits are challenging to study because of their low frequency. Here, the authors analyse SNP array and array comparative genomic hybridization data of 100,028 individuals and report their as
Externí odkaz:
https://doaj.org/article/bff05ccd6ca145f18966c6e073fcf8bb
Autor:
Dorothée Diogo, Chao Tian, Christopher S. Franklin, Mervi Alanne-Kinnunen, Michael March, Chris C. A. Spencer, Ciara Vangjeli, Michael E. Weale, Hannele Mattsson, Elina Kilpeläinen, Patrick M. A. Sleiman, Dermot F. Reilly, Joshua McElwee, Joseph C. Maranville, Arnaub K. Chatterjee, Aman Bhandari, Khanh-Dung H. Nguyen, Karol Estrada, Mary-Pat Reeve, Janna Hutz, Nan Bing, Sally John, Daniel G. MacArthur, Veikko Salomaa, Samuli Ripatti, Hakon Hakonarson, Mark J. Daly, Aarno Palotie, David A. Hinds, Peter Donnelly, Caroline S. Fox, Aaron G. Day-Williams, Robert M. Plenge, Heiko Runz
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Testing the association between genetic variants and a range of phenotypes can assist drug development. Here, in a phenome-wide association study in up to 697,815 individuals, Diogo et al. identify genotype–phenotype associations predicting efficac
Externí odkaz:
https://doaj.org/article/cb9fc601268446ca86cfc25a436b40c6
Autor:
Joseph T. Glessner, Jin Li, Dai Wang, Michael March, Leandro Lima, Akshatha Desai, Dexter Hadley, Charlly Kao, Raquel E. Gur, Nadine Cohen, Patrick M. A. Sleiman, Qingqin Li, Hakon Hakonarson, the Janssen-CHOP Neuropsychiatric Genomics Working Group
Publikováno v:
Genome Medicine, Vol 9, Iss 1, Pp 1-11 (2017)
Abstract Background Neurodevelopmental and neuropsychiatric disorders represent a wide spectrum of heterogeneous yet inter-related disease conditions. The overlapping clinical presentations of these diseases suggest a shared genetic etiology. We aim
Externí odkaz:
https://doaj.org/article/2581163f3187444ebc130b849821fda2
Autor:
Ahmed Laamrani, Paul R. Voroney, Aaron A. Berg, Adam W. Gillespie, Michael March, Bill Deen, Ralph C. Martin
Publikováno v:
Agronomy, Vol 10, Iss 6, p 840 (2020)
The impacts of tillage practices and crop rotations are fundamental factors influencing changes in the soil carbon, and thus the sustainability of agricultural systems. The objective of this study was to compare soil carbon status and temporal change
Externí odkaz:
https://doaj.org/article/a29ae6251be64f47a4f8347facd45d19
Autor:
Ahmed Laamrani, Aaron A. Berg, Paul Voroney, Hannes Feilhauer, Line Blackburn, Michael March, Phuong D. Dao, Yuhong He, Ralph C. Martin
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1298 (2019)
The recent use of hyperspectral remote sensing imagery has introduced new opportunities for soil organic carbon (SOC) assessment and monitoring. These data enable monitoring of a wide variety of soil properties but pose important methodological chall
Externí odkaz:
https://doaj.org/article/fd561a376bec4684b05952a852c39ff4
Autor:
Berta Almoguera, Jiankang Li, Patricia Fernandez-San Jose, Yichuan Liu, Michael March, Renata Pellegrino, Ryan Golhar, Marta Corton, Fiona Blanco-Kelly, Maria Isabel López-Molina, Blanca García-Sandoval, Yiran Guo, Lifeng Tian, Xuanzhu Liu, Liping Guan, Jianguo Zhang, Brendan Keating, Xun Xu, Hakon Hakonarson, Carmen Ayuso
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0133624 (2015)
This study aimed to identify the genetics underlying dominant forms of inherited retinal dystrophies using whole exome sequencing (WES) in six families extensively screened for known mutations or genes. Thirty-eight individuals were subjected to WES.
Externí odkaz:
https://doaj.org/article/6c3c44d15e344cbf8503781f42d9f85f