Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Kristin A, Rand"'
Autor:
Yong Wang, Robert Burton, Cecily Vaughn, Miao Zhang, Brooke Rhead, Heather Harris, Spencer C Knight, Shannon R McCurdy, Marie V Coignet, Danny S Park, Genevieve H L Roberts, Nathan D Berkowitz, David Turissini, Karen Delgado, Milos Pavlovic, Asher K Haug Baltzell, Harendra Guturu, Kristin A Rand, Ahna R Girshick, Eurie L Hong, Catherine A Ball, Yambazi Banda, Ke Bi, Marjan Champine, Ross Curtis, Abby Drokhlyansky, Ashley Elrick, Cat Foo, Michael Gaddis, Jialiang Gu, Shannon Hateley, Shea King, Christine Maldonado, Evan McCartney-Melstad, Alexandra McFarland, Patty Miller, Luong Nguyen, Keith Noto, Jingwen Pei, Jenna Petersen, Scott Pew, Chodon Sass, Josh Schraiber, Alisa Sedghifar, Andrey Smelter, Sarah South, Barry Starr
Publikováno v:
BMJ Open, Vol 12, Iss 10 (2022)
Objectives The enormous toll of the COVID-19 pandemic has heightened the urgency of collecting and analysing population-scale datasets in real time to monitor and better understand the evolving pandemic. The objectives of this study were to examine t
Externí odkaz:
https://doaj.org/article/3d91f05ab0d54f8ea55c2becf75f8e4a
Autor:
Zhaohui Du, Niels Weinhold, Gregory Chi Song, Kristin A. Rand, David J. Van Den Berg, Amie E. Hwang, Xin Sheng, Victor Hom, Sikander Ailawadhi, Ajay K. Nooka, Seema Singhal, Karen Pawlish, Edward S. Peters, Cathryn Bock, Ann Mohrbacher, Alexander Stram, Sonja I. Berndt, William J. Blot, Graham Casey, Victoria L. Stevens, Rick Kittles, Phyllis J. Goodman, W. Ryan Diver, Anselm Hennis, Barbara Nemesure, Eric A. Klein, Benjamin A. Rybicki, Janet L. Stanford, John S. Witte, Lisa Signorello, Esther M. John, Leslie Bernstein, Antoinette M. Stroup, Owen W. Stephens, Maurizio Zangari, Frits Van Rhee, Andrew Olshan, Wei Zheng, Jennifer J. Hu, Regina Ziegler, Sarah J. Nyante, Sue Ann Ingles, Michael F. Press, John David Carpten, Stephen J. Chanock, Jayesh Mehta, Graham A. Colditz, Jeffrey Wolf, Thomas G. Martin, Michael Tomasson, Mark A. Fiala, Howard Terebelo, Nalini Janakiraman, Laurence Kolonel, Kenneth C. Anderson, Loic Le Marchand, Daniel Auclair, Brian C.-H. Chiu, Elad Ziv, Daniel Stram, Ravi Vij, Leon Bernal-Mizrachi, Gareth J. Morgan, Jeffrey A. Zonder, Carol Ann Huff, Sagar Lonial, Robert Z. Orlowski, David V. Conti, Christopher A. Haiman, Wendy Cozen
Publikováno v:
Blood Advances, Vol 4, Iss 1, Pp 181-190 (2020)
Abstract: Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of E
Externí odkaz:
https://doaj.org/article/ba385add61f344c2bf8f3e2fb7c2bb2e
Autor:
Kevin M. Wright, Kristin A. Rand, Amir Kermany, Keith Noto, Don Curtis, Daniel Garrigan, Dmitri Slinkov, Ilya Dorfman, Julie M. Granka, Jake Byrnes, Natalie Myres, Catherine A. Ball, J. Graham Ruby
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 9, Iss 9, Pp 2863-2878 (2019)
We present a massive investigation into the genetic basis of human lifespan. Beginning with a genome-wide association (GWA) study using a de-identified snapshot of the unique AncestryDNA database – more than 300,000 genotyped individuals linked to
Externí odkaz:
https://doaj.org/article/9c40e1d9973c493eb9e8969394dafdaa
Autor:
Eunjung Han, Peter Carbonetto, Ross E. Curtis, Yong Wang, Julie M. Granka, Jake Byrnes, Keith Noto, Amir R. Kermany, Natalie M. Myres, Mathew J. Barber, Kristin A. Rand, Shiya Song, Theodore Roman, Erin Battat, Eyal Elyashiv, Harendra Guturu, Eurie L. Hong, Kenneth G. Chahine, Catherine A. Ball
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-12 (2017)
Genetic data has led to great advances in our understanding of human evolution and dispersal, but information on more recent events is limited. Here, the authors analyse genotypes from 770,000 US individuals to map the fine-scale population structure
Externí odkaz:
https://doaj.org/article/e99a0ac04ddd404b84d2e573c01d9e36
Autor:
Wangjing Ke, Kristin A. Rand, David V. Conti, Veronica W. Setiawan, Daniel O. Stram, Lynne Wilkens, Loic Le Marchand, Themistocles L. Assimes, Christopher A. Haiman
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 5 (2018)
BackgroundCoronary heart disease (CHD) is the most common cause of death worldwide. Previous studies have identified numerous common CHD susceptibility loci, with the vast majority identified in populations of European ancestry. How well these findin
Externí odkaz:
https://doaj.org/article/e38e59e896f7402d8c48c3a7e2acd8ce
Autor:
Jeffrey A. Zonder, Edward S. Peters, Xin Sheng, Nalini Janakiraman, Frits van Rhee, John D. Carpten, Jennifer J. Hu, Mark A. Fiala, Sagar Lonial, W. Ryan Diver, Wei Zheng, Christopher A. Haiman, Antoinette M. Stroup, Leon Bernal-Mizrachi, William J. Blot, Barbara Nemesure, Loic Le Marchand, Graham A. Colditz, David Van Den Berg, Robert Z. Orlowski, Lisa B. Signorello, Phyllis J. Goodman, Benjamin A. Rybicki, Laurence N. Kolonel, Elad Ziv, Rick A. Kittles, Victor Hom, Howard R. Terebelo, Ajay K. Nooka, Seema Singhal, Thomas G. Martin, Cathryn H. Bock, Brian C.-H. Chiu, Sue A. Ingles, Sarah J. Nyante, Carol Ann Huff, Ann Mohrbacher, Eric A. Klein, Maurizio Zangari, Kristin A. Rand, Michael F. Press, Zhaohui Du, Karen Pawlish, Niels Weinhold, Michael H. Tomasson, Owen W. Stephens, Janet L. Stanford, Ravi Vij, Daniel Auclair, Jayesh Mehta, Daniel O. Stram, Anselm Hennis, Alexander Stram, Gareth J. Morgan, David V. Conti, Jeffrey L. Wolf, Andrew F. Olshan, Esther M. John, Leslie Bernstein, Sonja I. Berndt, Stephen J. Chanock, Gregory Song, Amie E. Hwang, Wendy Cozen, Sikander Ailawadhi, Kenneth C. Anderson, Victoria L. Stevens, Graham Casey, Regina G. Ziegler, John S. Witte
Publikováno v:
Blood advances, vol 4, iss 1
Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of EA. Little
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::688d63748ff746a83c5c8c8381866045
https://doi.org/10.1182/bloodadvances.2019000491
https://doi.org/10.1182/bloodadvances.2019000491
Autor:
Marie V. Coignet, Eurie L. Hong, Sarah South, Miao Zhang, Harendra Guturu, Pei Jingwen, Jialiang Gu, Brooke Rhead, Michael Gaddis, Cecily Vaughn, Luong Ruiz, Nathan Berkowitz, Cat Foo, Ashley Elrick, Christine Maldonado, Ahna R. Girshick, Heather H. Harris, Ke Bi, Marjan Champine, Evan McCartney-Melstad, Spencer C. Knight, Keith Noto, Barry Starr, Milos Pavlovic, David A. Turrisini, Robert Burton, Kristin A. Rand, Ross E. Curtis, Shea King, Andrey Smelter, Karen Delgado, Yambazi Banda, Asher K. Haug Baltzell, Alisa Sedghifar, Raghavendran Partha, Yong Wang, Abby Drokhlyansky, Genevieve H.L. Roberts, Chodon Sass, Jenna Petersen, Patty Miller, Danny S. Park, Catherine A. Ball, Shannon R. McCurdy
INTRODUCTION PARAGRAPHMultiple large COVID-19 genome-wide association studies (GWAS) have identified reproducible genetic associations indicating that some infection susceptibility and severity risk is heritable.1-5 Most of these studies ascertained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a680e1c5a57d19fa29d6b35999852a32
https://doi.org/10.1101/2021.01.24.21250324
https://doi.org/10.1101/2021.01.24.21250324
Autor:
Genevieve H L, Roberts, Raghavendran, Partha, Brooke, Rhead, Spencer C, Knight, Danny S, Park, Marie V, Coignet, Miao, Zhang, Nathan, Berkowitz, David A, Turrisini, Michael, Gaddis, Shannon R, McCurdy, Milos, Pavlovic, Luong, Ruiz, Chodon, Sass, Asher K, Haug Baltzell, Harendra, Guturu, Ahna R, Girshick, Catherine A, Ball, Eurie L, Hong, Kristin A, Rand
Publikováno v:
Nature genetics. 54(4)
Multiple COVID-19 genome-wide association studies (GWASs) have identified reproducible genetic associations indicating that there is a genetic component to susceptibility and severity risk. To complement these studies, we collected deep coronavirus d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::fe82602bcb4da6f79890a191a8b86c85
https://pubmed.ncbi.nlm.nih.gov/35410380
https://pubmed.ncbi.nlm.nih.gov/35410380
Autor:
Marie V. Coignet, Dylan Sun, Lukas Habegger, Evan Maxwell, Daniel J. Rader, David J. Carey, Katherine A. Siminovitch, Giorgio Sirugo, Anne E. Justice, Joelle Mbatchou, Eli A. Stahl, Gonçalo R. Abecasis, Alexander H. Li, David A. Turissini, Adam E. Locke, Kristin A. Rand, Aris Baras, Joseph B. Leader, Genevieve H.L. Roberts, Ahna R. Girshick, Deepika Sharma, Nilanjana Banerjee, Fabricio S. P. Kury, John D. Overton, Shane McCarthy, Jonathan Marchini, Xiaodong Bai, Eurie L. Hong, Rouel Lanche, Amy Damask, Ashish Yadav, Raghavendran Partha, Shannon R. McCurdy, Miao Zhang, Suganthi Balasubramanian, Hyun Min Kang, Anurag Verma, Marcus B. Jones, Marylyn D. Ritchie, Colm O'Dushlaine, Manuel A. R. Ferreira, Adam J. Mansfield, Anthony Marcketta, Joshua D. Backman, Alan R. Shuldiner, Michael N. Cantor, Tooraj Mirshahi, Lee Dobbyn, Spencer C. Knight, William J Salerno, Harenda Guturu, Jeffrey G. Reid, Julie E. Horowitz, Lauren Gurski, Danny S. Park, Kyoko Watanabe, Catherine A. Ball, Asher K. Haug Baltzell, Jack A. Kosmicki
SARS-CoV-2 enters host cells by binding angiotensin-converting enzyme 2 (ACE2). Through a genome-wide association study, we show that a rare variant (MAF = 0.3%, odds ratio 0.60, P=4.5x10-13) that down-regulates ACE2 expression reduces risk of COVID-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e1331fb38faa9a04f624deb1333af5b
https://doi.org/10.1101/2020.12.14.20248176
https://doi.org/10.1101/2020.12.14.20248176
Autor:
Catherine A. Ball, Genevieve H.L. Roberts, Shannon R. McCurdy, Eurie L. Hong, Karen Delgado, Danny S. Park, Brooke Rhead, Harendra Guturu, Milos Pavlovic, Asher K. Haug Baltzell, Marie V. Coignet, Miao Zhang, David A. Turissini, Kristin A. Rand, Ahna R. Girshick, Nathan Berkowitz, Spencer C. Knight
BackgroundThe enormous toll of the COVID-19 pandemic has heightened the urgency of collecting and analyzing population-scale datasets in real time to monitor and better understand the evolving pandemic.MethodsThe AncestryDNA COVID-19 Study collected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb2ab3de1981e7dd53b5fe356a295417
https://doi.org/10.1101/2020.10.08.20209593
https://doi.org/10.1101/2020.10.08.20209593