Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study

Autor: Wang, Yuxuan, Selvaraj, Margaret Sunitha, Li, Xihao, Li, Zilin, Holdcraft, Jacob A., Arnett, Donna K., Bis, Joshua C., Blangero, John, Boerwinkle, Eric, Bowden, Donald W., Cade, Brian E., Carlson, Jenna C., Carson, April P., Chen, Yii-Der Ida, Curran, Joanne E., de Vries, Paul S., Dutcher, Susan K., Ellinor, Patrick T., Floyd, James S., Fornage, Myriam, Freedman, Barry I., Gabriel, Stacey, Germer, Soren, Gibbs, Richard A., Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy, Hildalgo, Bertha, Hou, Lifang, Irvin, Marguerite R., Joehanes, Roby, Kaplan, Robert C., Kardia, Sharon LR., Kelly, Tanika N., Kim, Ryan, Kooperberg, Charles, Kral, Brian G., Levy, Daniel, Li, Changwei, Liu, Chunyu, Lloyd-Jone, Don, Loos, Ruth JF., Mahaney, Michael C., Martin, Lisa W., Mathias, Rasika A., Minster, Ryan L., Mitchell, Braxton D., Montasser, May E., Morrison, Alanna C., Murabito, Joanne M., Naseri, Take, O'Connell, Jeffrey R., Palmer, Nicholette D., Preuss, Michael H., Psaty, Bruce M., Raffield, Laura M., Rao, Dabeeru C., Redline, Susan, Reiner, Alexander P., Rich, Stephen S., Ruepena, Muagututi’a Sefuiva, Sheu, Wayne H.-H., Smith, Jennifer A., Smith, Albert, Tiwari, Hemant K., Tsai, Michael Y., Viaud-Martinez, Karine A., Wang, Zhe, Yanek, Lisa R., Zhao, Wei, Rotter, Jerome I., Lin, Xihong, Natarajan, Pradeep, Peloso, Gina M.

Publikováno v: In The American Journal of Human Genetics 5 October 2023 110(10):1704-1717

Serial 7-Day Electrocardiogram Patch Screening for AF in High-Risk Older Women by the CHARGE-AF Score

Autor: Lin, Jeffrey Y., Larson, Joseph, Schoenberg, Jenny, Sepulveda, Alejandra, Tinker, Lesley, Wheeler, Matthew, Albert, Christine, Manson, JoAnn E., Wells, Gretchen, Martin, Lisa W., Froelicher, Victor, LaMonte, Mike, Kooperberg, Charles, Hlatky, Mark A., Greenland, Philip, Stefanick, Marcia L., Perez, Marco V.

Publikováno v: In JACC: Clinical Electrophysiology December 2022 8(12):1523-1534

Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits

Autor: Sun, Daokun, Richard, Melissa A., Musani, Solomon K., Sung, Yun Ju, Winkler, Thomas W., Schwander, Karen, Chai, Jin Fang, Guo, Xiuqing, Kilpeläinen, Tuomas O., Vojinovic, Dina, Aschard, Hugues, Bartz, Traci M., Bielak, Lawrence F., Brown, Michael R., Chitrala, Kumaraswamy, Hartwig, Fernando P., Horimoto, Andrea R.V.R., Liu, Yongmei, Manning, Alisa K., Noordam, Raymond, Smith, Albert V., Harris, Sarah E., Kühnel, Brigitte, Lyytikäinen, Leo-Pekka, Nolte, Ilja M., Rauramaa, Rainer, van der Most, Peter J., Wang, Rujia, Ware, Erin B., Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R., Arking, Dan E., Arnett, Donna K., Barac, Ana, Boerwinkle, Eric, Broeckel, Ulrich, Chakravarti, Aravinda, Chen, Yii-Der Ida, Cupples, L. Adrienne, Davigulus, Martha L., de las Fuentes, Lisa, de Mutsert, Renée, de Vries, Paul S., Delaney, Joseph A.C., Diez Roux, Ana V., Dörr, Marcus, Faul, Jessica D., Fretts, Amanda M., Gallo, Linda C., Grabe, Hans Jörgen, Gu, C. Charles, Harris, Tamara B., Hartman, Catharina C.A., Heikkinen, Sami, Ikram, M. Arfan, Isasi, Carmen, Johnson, W. Craig, Jonas, Jost Bruno, Kaplan, Robert C., Komulainen, Pirjo, Krieger, Jose E., Levy, Daniel, Liu, Jianjun, Lohman, Kurt, Luik, Annemarie I., Martin, Lisa W., Meitinger, Thomas, Milaneschi, Yuri, O’Connell, Jeff R., Palmas, Walter R., Peters, Annette, Peyser, Patricia A., Pulkki-Råback, Laura, Raffel, Leslie J., Reiner, Alex P., Rice, Kenneth, Robinson, Jennifer G., Rosendaal, Frits R., Schmidt, Carsten Oliver, Schreiner, Pamela J., Schwettmann, Lars, Shikany, James M., Shu, Xiao-ou, Sidney, Stephen, Sims, Mario, Smith, Jennifer A., Sotoodehnia, Nona, Strauch, Konstantin, Tai, E. Shyong, Taylor, Kent D., Uitterlinden, André G., van Duijn, Cornelia M., Waldenberger, Melanie, Wee, Hwee-Lin, Wei, Wen-Bin, Wilson, Gregory, Xuan, Deng, Yao, Jie, Zeng, Donglin, Zhao, Wei, Zhu, Xiaofeng, Zonderman, Alan B., Becker, Diane M., Deary, Ian J., Gieger, Christian, Lakka, Timo A., Lehtimäki, Terho, North, Kari E., Oldehinkel, Albertine J., Penninx, Brenda W.J.H., Snieder, Harold, Wang, Ya-Xing, Weir, David R., Zheng, Wei, Evans, Michele K., Gauderman, W. James, Gudnason, Vilmundur, Horta, Bernardo L., Liu, Ching-Ti, Mook-Kanamori, Dennis O., Morrison, Alanna C., Pereira, Alexandre C., Psaty, Bruce M., Amin, Najaf, Fox, Ervin R., Kooperberg, Charles, Sim, Xueling, Bierut, Laura, Rotter, Jerome I., Kardia, Sharon L.R., Franceschini, Nora, Rao, Dabeeru C., Fornage, Myriam

Publikováno v: In Human Genetics and Genomics Advances 14 January 2021 2(1)

A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies

Autor: Li, Zilin, Li, Xihao, Zhou, Hufeng, Gaynor, Sheila M., Selvaraj, Margaret Sunitha, Arapoglou, Theodore, Quick, Corbin, Liu, Yaowu, Chen, Han, Sun, Ryan, Dey, Rounak, Arnett, Donna K., Auer, Paul L., Bielak, Lawrence F., Bis, Joshua C., Blackwell, Thomas W., Blangero, John, Boerwinkle, Eric, Bowden, Donald W., Brody, Jennifer A., Cade, Brian E., Conomos, Matthew P., Correa, Adolfo, Cupples, L. Adrienne, Curran, Joanne E., de Vries, Paul S., Duggirala, Ravindranath, Franceschini, Nora, Freedman, Barry I., Göring, Harald H. H., Guo, Xiuqing, Kalyani, Rita R., Kooperberg, Charles, Kral, Brian G., Lange, Leslie A., Lin, Bridget M., Manichaikul, Ani, Manning, Alisa K., Martin, Lisa W., Mathias, Rasika A., Meigs, James B., Mitchell, Braxton D., Montasser, May E., Morrison, Alanna C., Naseri, Take, O’Connell, Jeffrey R., Palmer, Nicholette D., Peyser, Patricia A., Psaty, Bruce M., Raffield, Laura M., Redline, Susan, Reiner, Alexander P., Reupena, Muagututi‘a Sefuiva, Rice, Kenneth M., Rich, Stephen S., Smith, Jennifer A., Taylor, Kent D., Taub, Margaret A., Vasan, Ramachandran S., Weeks, Daniel E., Wilson, James G., Yanek, Lisa R., Zhao, Wei, Rotter, Jerome I., Willer, Cristen J., Natarajan, Pradeep, Peloso, Gina M., Lin, Xihong

Publikováno v: Nat Methods

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2c1582434c49b72b23e89d74944333d
https://doi.org/10.1038/s41592-022-01640-x

Cardiovascular Health and Incident Cardiovascular Disease and Cancer: The Women’s Health Initiative

Autor: Foraker, Randi E., Abdel-Rasoul, Mahmoud, Kuller, Lewis H., Jackson, Rebecca D., Van Horn, Linda, Seguin, Rebecca A., Safford, Monika M., Wallace, Robert B., Kucharska-Newton, Anna M., Robinson, Jennifer G., Martin, Lisa W., Agha, Golareh, Hou, Lifang, Allen, Norrina B., Tindle, Hilary A.

Publikováno v: In American Journal of Preventive Medicine February 2016 50(2):236-240