Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Rotter, Jerome"'
Autor:
Kurniansyah, Nuzulul, Goodman, Matthew O, Khan, Alyna T, Wang, Jiongming, Feofanova, Elena, Bis, Joshua C, Wiggins, Kerri L, Huffman, Jennifer E, Kelly, Tanika, Elfassy, Tali, Guo, Xiuqing, Palmas, Walter, Lin, Henry J, Hwang, Shih-Jen, Gao, Yan, Young, Kendra, Kinney, Gregory L, Smith, Jennifer A, Yu, Bing, Liu, Simin, Wassertheil-Smoller, Sylvia, Manson, JoAnn E, Zhu, Xiaofeng, Chen, Yii-Der Ida, Lee, I-Te, Gu, C Charles, Lloyd-Jones, Donald M, Zöllner, Sebastian, Fornage, Myriam, Kooperberg, Charles, Correa, Adolfo, Psaty, Bruce M, Arnett, Donna K, Isasi, Carmen R, Rich, Stephen S, Kaplan, Robert C, Redline, Susan, Mitchell, Braxton D, Franceschini, Nora, Levy, Daniel, Rotter, Jerome I, Morrison, Alanna C, Sofer, Tamar
Publikováno v:
Nature communications, vol 14, iss 1
We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from eac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::4db88f9a0f4b9e719e1bc374db0443bb
https://escholarship.org/uc/item/4br368g3
https://escholarship.org/uc/item/4br368g3
Publikováno v:
Annals of medicine and surgery (2012), vol 85, iss 5
To assess the accuracy of BMI compared to directly measured dual-energy X-ray absorptiometry percent body fat (DEXA %BF) among a worker compensation population.MethodsThe agreement between BMI and DEXA %BF was assessed by the Pearson correlation coef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::6118e4d72955a492d5f65935333f7ef4
https://escholarship.org/uc/item/8q19d651
https://escholarship.org/uc/item/8q19d651
Autor:
Weinstock, Joshua S, Laurie, Cecelia A, Broome, Jai G, Taylor, Kent D, Guo, Xiuqing, Shuldiner, Alan R, O'Connell, Jeffrey R, Lewis, Joshua P, Boerwinkle, Eric, Barnes, Kathleen C, Chami, Nathalie, Kenny, Eimear E, Loos, Ruth JF, Fornage, Myriam, Redline, Susan, Cade, Brian E, Gilliland, Frank D, Chen, Zhanghua, Gauderman, W James, Kumar, Rajesh, Grammer, Leslie, Schleimer, Robert P, Psaty, Bruce M, Bis, Joshua C, Brody, Jennifer A, Silverman, Edwin K, Yun, Jeong H, Qiao, Dandi, Weiss, Scott T, Lasky-Su, Jessica, DeMeo, Dawn L, Palmer, Nicholette D, Freedman, Barry I, Bowden, Donald W, Cho, Michael H, Vasan, Ramachandran S, Johnson, Andrew D, Yanek, Lisa R, Becker, Lewis C, Kardia, Sharon, He, Jiang, Kaplan, Robert, Heckbert, Susan R, Smith, Nicholas L, Wiggins, Kerri L, Arnett, Donna K, Irvin, Marguerite R, Tiwari, Hemant, Correa, Adolfo, Raffield, Laura M, Gao, Yan, de Andrade, Mariza, Rotter, Jerome I, Rich, Stephen S, Manichaikul, Ani W, Konkle, Barbara A, Johnsen, Jill M, Wheeler, Marsha M, Custer, Brian S, Duggirala, Ravindranath, Curran, Joanne E, Blangero, John, Gui, Hongsheng, Xiao, Shujie, Williams, L Keoki, Meyers, Deborah A, Li, Xingnan, Ortega, Victor, McGarvey, Stephen, Gu, C Charles, Chen, Yii-Der Ida, Lee, Wen-Jane, Shoemaker, M Benjamin, Darbar, Dawood, Roden, Dan, Albert, Christine, Kooperberg, Charles, Desai, Pinkal, Blackwell, Thomas W, Abecasis, Goncalo R, Smith, Albert V, Kang, Hyun M, Mathias, Rasika, Natarajan, Pradeep, Jaiswal, Siddhartha, Reiner, Alexander P, Bick, Alexander G, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
Publikováno v:
Science advances, vol 9, iss 17
Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::9065bc0faf2d3ecc58a098ed4c436645
https://escholarship.org/uc/item/1496g128
https://escholarship.org/uc/item/1496g128
Autor:
Paranjpe, Manish D, Chaffin, Mark, Zahid, Sohail, Ritchie, Scott, Rotter, Jerome I, Rich, Stephen S, Gerszten, Robert, Guo, Xiuqing, Heckbert, Susan, Tracy, Russ, Danesh, John, Lander, Eric S, Inouye, Michael, Kathiresan, Sekar, Butterworth, Adam S, Khera, Amit V
Publikováno v:
PLoS genetics, vol 18, iss 9
Funder: NHS Blood and Transplant; funder-id: http://dx.doi.org/10.13039/100009033
Funder: National Institute for Health Research
Funder: NIHR BioResource
Funder: Biogen, Inc.
Funder: NIHR (Cambridge Biomedical Research Centre at t
Funder: National Institute for Health Research
Funder: NIHR BioResource
Funder: Biogen, Inc.
Funder: NIHR (Cambridge Biomedical Research Centre at t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::982c8fc09067b7abc435325502c68e7e
https://www.repository.cam.ac.uk/handle/1810/341581
https://www.repository.cam.ac.uk/handle/1810/341581
Autor:
Elgart, Michael, Goodman, Matthew O, Isasi, Carmen, Chen, Han, Morrison, Alanna C, de Vries, Paul S, Xu, Huichun, Manichaikul, Ani W, Guo, Xiuqing, Franceschini, Nora, Psaty, Bruce M, Rich, Stephen S, Rotter, Jerome I, Lloyd-Jones, Donald M, Fornage, Myriam, Correa, Adolfo, Heard-Costa, Nancy L, Vasan, Ramachandran S, Hernandez, Ryan, Kaplan, Robert C, Redline, Susan, Trans-Omics for Precision Medicine (TOPMed) Consortium, Sofer, Tamar
Publikováno v:
Cell reports. Medicine, vol 3, iss 12
We develop a closed-form Haseman-Elston estimator for genetic and environmental correlation coefficients between complex phenotypes, which we term HEc, that is as precise as GCTA yet ∼20× faster. We estimate genetic and environmental correlations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::26cfbfac7028166dc14c8524faf8bf86
https://escholarship.org/uc/item/3723h118
https://escholarship.org/uc/item/3723h118
Autor:
Kim, Wonji, Hecker, Julian, Barr, R Graham, Boerwinkle, Eric, Cade, Brian, Correa, Adolfo, Dupuis, Josée, Gharib, Sina A, Lange, Leslie, London, Stephanie J, Morrison, Alanna C, O'Connor, George T, Oelsner, Elizabeth C, Psaty, Bruce M, Vasan, Ramachandran S, Redline, Susan, Rich, Stephen S, Rotter, Jerome I, Yu, Bing, Lange, Christoph, Manichaikul, Ani, Zhou, Jin J, Sofer, Tamar, Silverman, Edwin K, Qiao, Dandi, Cho, Michael H, NHLBI Trans-Omics in Precision Medicine (TOPMed) Consortium and TOPMed Lung Working Group
Publikováno v:
Human molecular genetics, vol 31, iss 22
RationaleGenetic variation has a substantial contribution to chronic obstructive pulmonary disease (COPD) and lung function measurements. Heritability estimates using genome-wide genotyping data can be biased if analyses do not appropriately account
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::7161dfbf3310842285a22c0bb68622a9
https://escholarship.org/uc/item/519186vh
https://escholarship.org/uc/item/519186vh
Autor:
Halford, Jennifer L, Morrill, Valerie N, Choi, Seung Hoan, Jurgens, Sean J, Melloni, Giorgio, Marston, Nicholas A, Weng, Lu-Chen, Nauffal, Victor, Hall, Amelia W, Gunn, Sophia, Austin-Tse, Christina A, Pirruccello, James P, Khurshid, Shaan, Rehm, Heidi L, Benjamin, Emelia J, Boerwinkle, Eric, Brody, Jennifer A, Correa, Adolfo, Fornwalt, Brandon K, Gupta, Namrata, Haggerty, Christopher M, Harris, Stephanie, Heckbert, Susan R, Hong, Charles C, Kooperberg, Charles, Lin, Henry J, Loos, Ruth JF, Mitchell, Braxton D, Morrison, Alanna C, Post, Wendy, Psaty, Bruce M, Redline, Susan, Rice, Kenneth M, Rich, Stephen S, Rotter, Jerome I, Schnatz, Peter F, Soliman, Elsayed Z, Sotoodehnia, Nona, Wong, Eugene K, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Sabatine, Marc S, Ruff, Christian T, Lunetta, Kathryn L, Ellinor, Patrick T, Lubitz, Steven A
Publikováno v:
Nature communications, vol 13, iss 1
Accurate and efficient classification of variant pathogenicity is critical for research and clinical care. Using data from three large studies, we demonstrate that population-based associations between rare variants and quantitative endophenotypes fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::525bac8e3c59385e66ab79c9a79731dc
https://escholarship.org/uc/item/6mj454ts
https://escholarship.org/uc/item/6mj454ts
Autor:
Tahir, Usman A, Katz, Daniel H, Avila-Pachecho, Julian, Bick, Alexander G, Pampana, Akhil, Robbins, Jeremy M, Yu, Zhi, Chen, Zsu-Zsu, Benson, Mark D, Cruz, Daniel E, Ngo, Debby, Deng, Shuliang, Shi, Xu, Zheng, Shuning, Eisman, Aaron S, Farrell, Laurie, Hall, Michael E, Correa, Adolfo, Tracy, Russell P, Durda, Peter, Taylor, Kent D, Liu, Yongmei, Johnson, W Craig, Guo, Xiuqing, Yao, Jie, Chen, Yii-Der Ida, Manichaikul, Ani W, Ruberg, Frederick L, Blaner, William S, Jain, Deepti, NHLBI Trans-Omics for Precision Medicine 1 Consortium, Bouchard, Claude, Sarzynski, Mark A, Rich, Stephen S, Rotter, Jerome I, Wang, Thomas J, Wilson, James G, Clish, Clary B, Natarajan, Pradeep, Gerszten, Robert E
Publikováno v:
Nature communications, vol 13, iss 1
Integrating genetic information with metabolomics has provided new insights into genes affecting human metabolism. However, gene-metabolite integration has been primarily studied in individuals of European Ancestry, limiting the opportunity to levera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::c8336c6f9b5615a3e465e415d4f00443
https://escholarship.org/uc/item/8t26j0xc
https://escholarship.org/uc/item/8t26j0xc
Autor:
Oelsner, Elizabeth C, Krishnaswamy, Akshaya, Balte, Pallavi P, Allen, Norrina Bai, Ali, Tauqeer, Anugu, Pramod, Andrews, Howard F, Arora, Komal, Asaro, Alyssa, Barr, R Graham, Bertoni, Alain G, Bon, Jessica, Boyle, Rebekah, Chang, Arunee A, Chen, Grace, Coady, Sean, Cole, Shelley A, Coresh, Josef, Cornell, Elaine, Correa, Adolfo, Couper, David, Cushman, Mary, Demmer, Ryan T, Elkind, Mitchell SV, Folsom, Aaron R, Fretts, Amanda M, Gabriel, Kelley P, Gallo, Linda C, Gutierrez, Jose, Han, Mei Lan K, Henderson, Joel M, Howard, Virginia J, Isasi, Carmen R, Jacobs, David R, Judd, Suzanne E, Mukaz, Debora Kamin, Kanaya, Alka M, Kandula, Namratha R, Kaplan, Robert C, Kinney, Gregory L, Kucharska-Newton, Anna, Lee, Joyce S, Lewis, Cora E, Levine, Deborah A, Levitan, Emily B, Levy, Bruce D, Make, Barry J, Malloy, Kimberly, Manly, Jennifer J, Mendoza-Puccini, Carolina, Meyer, Katie A, Min, Yuan-I Nancy, Moll, Matthew R, Moore, Wendy C, Mauger, David, Ortega, Victor E, Palta, Priya, Parker, Monica M, Phipatanakul, Wanda, Post, Wendy S, Postow, Lisa, Psaty, Bruce M, Regan, Elizabeth A, Ring, Kimberly, Roger, Véronique L, Rotter, Jerome I, Rundek, Tatjana, Sacco, Ralph L, Schembri, Michael, Schwartz, David A, Seshadri, Sudha, Shikany, James M, Sims, Mario, Hinckley Stukovsky, Karen D, Talavera, Gregory A, Tracy, Russell P, Umans, Jason G, Vasan, Ramachandran S, Watson, Karol E, Wenzel, Sally E, Winters, Karen, Woodruff, Prescott G, Xanthakis, Vanessa, Zhang, Ying, Zhang, Yiyi, C4R Investigators
Publikováno v:
American journal of epidemiology, vol 191, iss 7
The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established US prospective cohort studies. Starting as early as 1971, investigators in the C4R cohort studies have collected data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::f2059e4b54cfe33e32c7ce319cc5e754
https://escholarship.org/uc/item/2d03t48x
https://escholarship.org/uc/item/2d03t48x
Autor:
Hu, Xiaowei, Qiao, Dandi, Kim, Wonji, Moll, Matthew, Balte, Pallavi P, Lange, Leslie A, Bartz, Traci M, Kumar, Rajesh, Li, Xingnan, Yu, Bing, Cade, Brian E, Laurie, Cecelia A, Sofer, Tamar, Ruczinski, Ingo, Nickerson, Deborah A, Muzny, Donna M, Metcalf, Ginger A, Doddapaneni, Harshavardhan, Gabriel, Stacy, Gupta, Namrata, Dugan-Perez, Shannon, Cupples, L Adrienne, Loehr, Laura R, Jain, Deepti, Rotter, Jerome I, Wilson, James G, Psaty, Bruce M, Fornage, Myriam, Morrison, Alanna C, Vasan, Ramachandran S, Washko, George, Rich, Stephen S, O'Connor, George T, Bleecker, Eugene, Kaplan, Robert C, Kalhan, Ravi, Redline, Susan, Gharib, Sina A, Meyers, Deborah, Ortega, Victor, Dupuis, Josée, London, Stephanie J, Lappalainen, Tuuli, Oelsner, Elizabeth C, Silverman, Edwin K, Barr, R Graham, Thornton, Timothy A, Wheeler, Heather E, TOPMed Lung Working Group, Cho, Michael H, Im, Hae Kyung, Manichaikul, Ani
Publikováno v:
American journal of human genetics, vol 109, iss 5
While polygenic risk scores (PRSs) enable early identification of genetic risk for chronic obstructive pulmonary disease (COPD), predictive performance is limited when the discovery and target populations are not well matched. Hypothesizing that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::1d9b97e5c796d16cf1bca03b30b8a0df
https://escholarship.org/uc/item/6vn9w4g7
https://escholarship.org/uc/item/6vn9w4g7