Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Anastasia M. Lucas"'
Autor:
Xinyuan Zhang, Anastasia M. Lucas, Yogasudha Veturi, Theodore G. Drivas, William P. Bone, Anurag Verma, Wendy K. Chung, David Crosslin, Joshua C. Denny, Scott Hebbring, Gail P. Jarvik, Iftikhar Kullo, Eric B. Larson, Laura J. Rasmussen-Torvik, Daniel J. Schaid, Jordan W. Smoller, Ian B. Stanaway, Wei-Qi Wei, Chunhua Weng, Marylyn D. Ritchie
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Circulatory system diseases and nervous system disorders often co-occur in patients. Here the authors use eMERGE and UK BioBank data to identify genomic regions associated with both phenotypes, providing insight into the relationship between these co
Externí odkaz:
https://doaj.org/article/4e82c50b745f4c0f8cbf12c5aaa0ea67
Autor:
Anurag Verma, Yuki Bradford, Scott Dudek, Anastasia M. Lucas, Shefali S. Verma, Sarah A. Pendergrass, Marylyn D. Ritchie
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-8 (2018)
Abstract Background Phenome-wide association studies (PheWAS) are a high-throughput approach to evaluate comprehensive associations between genetic variants and a wide range of phenotypic measures. PheWAS has varying sample sizes for quantitative tra
Externí odkaz:
https://doaj.org/article/9504dcdb14c74f35a8705d8ec0ff5273
Autor:
Anastasia M. Lucas, Nicole E. Palmiero, John McGuigan, Kristin Passero, Jiayan Zhou, Deven Orie, Marylyn D. Ritchie, Molly A. Hall
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
While genome-wide association studies are an established method of identifying genetic variants associated with disease, environment-wide association studies (EWAS) highlight the contribution of nongenetic components to complex phenotypes. However, t
Externí odkaz:
https://doaj.org/article/11b770ff56124e468b8d1d615147f4b7
Autor:
David Russell Crosslin, Gerard eTromp, Amber eBurt, Daniel Seung Kim, Shefali S Verma, Anastasia M. Lucas, Yuki eBradford, Dana C. Crawford, Sebastian M. Armasu, John A. Heit, M. Geoffrey Hayes, Helena eKuivaniemi, Marylyn D Ritchie, Gail P. Jarvik, Mariza eDe Andrade
Publikováno v:
Frontiers in Genetics, Vol 5 (2014)
Combining samples across multiple cohorts in large-scale scientific research programs is often required to achieve the necessary power for genome-wide association studies. Controlling for genomic ancestry through principal component analysis (PCA) to
Externí odkaz:
https://doaj.org/article/aa41694d4ac745dab6bceb338a865ca0
Autor:
Molly A Hall, John Wallace, Anastasia M Lucas, Yuki Bradford, Shefali S Verma, Bertram Müller-Myhsok, Kristin Passero, Jiayan Zhou, John McGuigan, Beibei Jiang, Sarah A Pendergrass, Yanfei Zhang, Peggy Peissig, Murray Brilliant, Patrick Sleiman, Hakon Hakonarson, John B Harley, Krzysztof Kiryluk, Kristel Van Steen, Jason H Moore, Marylyn D Ritchie
Publikováno v:
PLoS Genetics, Vol 17, Iss 6, p e1009534 (2021)
Assumptions are made about the genetic model of single nucleotide polymorphisms (SNPs) when choosing a traditional genetic encoding: additive, dominant, and recessive. Furthermore, SNPs across the genome are unlikely to demonstrate identical genetic
Externí odkaz:
https://doaj.org/article/b37fdfc15813491fa1c98bc3372f6d22
Autor:
Van Q. Truong, Jakob A. Woerner, Tess A. Cherlin, Yuki Bradford, Anastasia M. Lucas, Chelsea C. Okeh, Manu K. Shivakumar, Daniel H. Hui, Rachit Kumar, Milton Pividori, S. Chris Jones, Abigail C. Bossa, Stephen D. Turner, Marylyn D. Ritchie, Shefali S. Verma
Publikováno v:
Current protocolsLITERATURE CITEDINTERNET RESOURCES. 2(11)
Genome-wide association studies (GWAS) are being conducted at an unprecedented rate in population-based cohorts and have increased our understanding of the pathophysiology of many complex diseases. Regardless of the context, the practical utility of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3067e56b81c37d6dc4073adb07e8491
https://pubmed.ncbi.nlm.nih.gov/36441943
https://pubmed.ncbi.nlm.nih.gov/36441943
Autor:
Joseph Park, Matthew T. MacLean, Anastasia M. Lucas, Drew A. Torigian, Carolin V. Schneider, Tess Cherlin, Brenda Xiao, Jason E. Miller, Yuki Bradford, Renae L. Judy, Anurag Verma, Scott M. Damrauer, Marylyn D. Ritchie, Walter R. Witschey, Daniel J. Rader
Publikováno v:
Cell Reports Medicine. 3:100855
Nonalcoholic fatty liver disease is common and highly heritable. Genetic studies of hepatic fat have not sufficiently addressed non-European and rare variants. In a medical biobank, we quantitate hepatic fat from clinical computed tomography (CT) sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e7a48cbff1f5eb6714c438d766b6202
https://doi.org/10.1016/j.xcrm.2022.100855
https://doi.org/10.1016/j.xcrm.2022.100855
Autor:
Xinyuan, Zhang, Anastasia M, Lucas, Yogasudha, Veturi, Theodore G, Drivas, William P, Bone, Anurag, Verma, Wendy K, Chung, David, Crosslin, Joshua C, Denny, Scott, Hebbring, Gail P, Jarvik, Iftikhar, Kullo, Eric B, Larson, Laura J, Rasmussen-Torvik, Daniel J, Schaid, Jordan W, Smoller, Ian B, Stanaway, Wei-Qi, Wei, Chunhua, Weng, Marylyn D, Ritchie
Publikováno v:
Nature communications. 13(1)
Clinical and epidemiological studies have shown that circulatory system diseases and nervous system disorders often co-occur in patients. However, genetic susceptibility factors shared between these disease categories remain largely unknown. Here, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::4094a784742337821dcf8cb0e4d453c5
https://pubmed.ncbi.nlm.nih.gov/35701404
https://pubmed.ncbi.nlm.nih.gov/35701404
Autor:
Binglan, Li, Yogasudha, Veturi, Yuki, Bradford, Shefali S, Verma, Anurag, Verma, Anastasia M, Lucas, David W, Haas, Marylyn D, Ritchie
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Transcriptome-wide association studies (TWAS) have recently gained great attention due to their ability to prioritize complex trait-associated genes and promote potential therapeutics development for complex human diseases. TWAS integrates genotypic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0ab2550989b1d5be9d1570e162f902d2
https://pubmed.ncbi.nlm.nih.gov/30864331
https://pubmed.ncbi.nlm.nih.gov/30864331