Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kimberly Lorenz"'
Autor:
Daniel Hui, Eric Sanford, Kimberly Lorenz, Scott M Damrauer, Themistocles L Assimes, Christopher S Thom, Benjamin F Voight
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0298786 (2024)
An inverse correlation between stature and risk of coronary artery disease (CAD) has been observed in several epidemiologic studies, and recent Mendelian randomization (MR) experiments have suggested causal association. However, the extent to which t
Externí odkaz:
https://doaj.org/article/4c820088beb54a40ba027cdde983d34e
Autor:
Christopher Stephen Thom, Chintan D Jobaliya, Kimberly Lorenz, Jean Ann Maguire, Alyssa Gagne, Paul Gadue, Deborah L French, Benjamin Franklin Voight
Publikováno v:
BMC Biology, Vol 18, Iss 1, Pp 1-16 (2020)
Abstract Background Identifying causal variants and genes from human genetic studies of hematopoietic traits is important to enumerate basic regulatory mechanisms underlying these traits, and could ultimately augment translational efforts to generate
Externí odkaz:
https://doaj.org/article/ba82f3f7b0b44c9183236041b02dda11
Autor:
Daniel Hui, Eric Sanford, Kimberly Lorenz, Scott M. Damrauer, Themistocles L. Assimes, Christopher S. Thom, Benjamin F. Voight
Publikováno v:
medRxiv
An inverse correlation between stature and risk of coronary artery disease (CAD) has been observed in several epidemiologic studies, and recent Mendelian randomization (MR) experiments have suggested causal association. However, the extent to which t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dcb5acc2e3b7e6461442c2edf9e203a
https://europepmc.org/articles/PMC10187353/
https://europepmc.org/articles/PMC10187353/
Autor:
Brian Y. Chen, Benjamin F. Voight, William P. Bone, Marylyn D. Ritchie, Michael G. Levin, Kimberly Lorenz
SummaryIdentifying genomic features responsible for genome-wide association study (GWAS) signals has proven to be a difficult challenge; many researchers have turned to colocalization analysis of GWAS signals with expression quantitative trait loci (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::065fb8b455234363e7a30f0276b10648
https://doi.org/10.1101/2021.11.05.21265991
https://doi.org/10.1101/2021.11.05.21265991
The majority of GWAS loci fall in the non-coding genome, making causal variants difficult to identify and study. We hypothesized that the regulatory features underlying causal variants are biologically specific, identifiable from data, and that the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dae4012e50a6d755029612faabf0a966
https://doi.org/10.1101/2021.09.27.21264198
https://doi.org/10.1101/2021.09.27.21264198
Autor:
Lawrence S. Phillips, Anurag Verma, Todd L. Edwards, Kate Townsend Creasy, Nadim Mahmud, Shweta Ramdas, Rotonya M. Carr, Elisabetta Manduchi, Yii-Der Ida Chen, Saiju Pyarajan, Sumitra Muralidhar, Ruey-Kang Chang, Mary E. Haas, Michelle T. Long, Scott M. Damrauer, Struan F.A. Grant, Joseph Brancale, Marcus B. Jones, Luca A. Lotta, Xiaohui Li, Jing He, Yedidya Saiman, Jennifer Lee, Dipender Gill, Adam E. Locke, Jonas B. Nielsen, Nicholas J. Hand, Peter D. Reaven, Jennifer E. Huffman, Ronald M. Krauss, Marijana Vujkovic, Aris Baras, Philip S. Tsao, Jie Yao, Christopher D. Brown, Ching-Ti Liu, Yan V. Sun, J. Michael Gaziano, Amit Khera, Themistocles L. Assimes, Naga Chalasani, Daniel J. Rader, Henry R. Kranzler, Jerome I. Rotter, Katherine A. Ryan, James B. Meigs, Jingyi Tan, Derek Klarin, Danish Saleheen, Brent A. Neuschwander-Tetri, Carolin V. Schneider, Lisa Bastarache, Scott L. DuVall, Henry J. Lin, Benjamin F. Voight, Catherine Tcheandjieu, Niek Verweij, Donald R. Miller, Arun J. Sanyal, David E. Kaplan, Silvia Vilarinho, Xiang Zhu, Kent D. Taylor, Braxton D. Mitchell, Rebecca Darlay, K. Rajender Reddy, Andrew D. Wells, Rachel L. Kember, Kimberly Lorenz, Yevgeniy Gindin, Kyung Min Lee, Ayush Giri, Kyong-Mi Chang, Matthew J. Budoff, Jie Huang, Kelly Cho, Christopher J. O'Donnell, Chuhan Chung, Joseph Park, Marina Serper, Peter W.F. Wilson, Quentin M. Anstee, Ann K. Daly, Walter R Witschey, Julie Lynch, Rob P Meyers, Heather J. Cordell, Matthew T. MacLean, Xiuqing Guo, Jeffrey B. Schwimmer
Nonalcoholic fatty liver disease (NAFLD) is a growing cause of chronic liver disease. Using a proxy NAFLD definition of chronic alanine aminotransferase elevation (cALT) without other liver diseases, we performed a trans-ancestry genome-wide associat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d57bb77638f1458fbdb90300b368d08
https://doi.org/10.1101/2020.12.26.20248491
https://doi.org/10.1101/2020.12.26.20248491
Autor:
Kenyaita M. Hodge, Shitaye Alemu Balcha, Alice Holmes, Elisabeth R. Trimble, Arla Gamper, Diana L. Cousminer, Tanwi Vartak, Samuel T. Jerram, Benjamin F. Voight, Kimberly Lorenz, Struan F.A. Grant, Rajashree Mishra, David I. W. Phillips, Richard David Leslie, Hannah F. Wilson, Alistair J K Williams, Stanley Schwartz, Abayneh Girma Demisse
Publikováno v:
Diabetes. 69
T1DM results from the interaction of genetic and environmental factors; the classical phenotype has been based largely on people of European background. However, Africa is a continent of enormous genetic diversity and extreme environmental conditions
Autor:
Marijana, Vujkovic, Jacob M, Keaton, Julie A, Lynch, Donald R, Miller, Jin, Zhou, Catherine, Tcheandjieu, Jennifer E, Huffman, Themistocles L, Assimes, Kimberly, Lorenz, Xiang, Zhu, Austin T, Hilliard, Renae L, Judy, Jie, Huang, Kyung M, Lee, Derek, Klarin, Saiju, Pyarajan, John, Danesh, Olle, Melander, Asif, Rasheed, Nadeem H, Mallick, Shahid, Hameed, Irshad H, Qureshi, Muhammad Naeem, Afzal, Uzma, Malik, Anjum, Jalal, Shahid, Abbas, Xin, Sheng, Long, Gao, Klaus H, Kaestner, Katalin, Susztak, Yan V, Sun, Scott L, DuVall, Kelly, Cho, Jennifer S, Lee, J Michael, Gaziano, Lawrence S, Phillips, James B, Meigs, Peter D, Reaven, Peter W, Wilson, Todd L, Edwards, Daniel J, Rader, Scott M, Damrauer, Christopher J, O'Donnell, Philip S, Tsao, Kyong-Mi, Chang, Benjamin F, Voight, Sumitra, Muralidhar
Publikováno v:
Nature genetics
We investigated type 2 diabetes (T2D) genetic susceptibility via multi-ancestry meta-analysis of 228,499 cases and 1,178,783 controls in the Million Veteran Program (MVP), DIAMANTE, Biobank Japan and other studies. We report 568 associations, includi
Autor:
Alyssa L. Gagne, Chintan D Jobaliya, Paul Gadue, Christopher S. Thom, Deborah L. French, Jean Ann Maguire, Benjamin F. Voight, Kimberly Lorenz
Publikováno v:
BMC Biology, Vol 18, Iss 1, Pp 1-16 (2020)
BMC Biology
BMC Biology
Background Identifying causal variants and genes from human genetic studies of hematopoietic traits is important to enumerate basic regulatory mechanisms underlying these traits, and could ultimately augment translational efforts to generate platelet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b572b323188f643f5c86b65207cc8a86
https://doi.org/10.1101/631895
https://doi.org/10.1101/631895