Search Results - "Klarqvist, Marcus D. R."

Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots by Agrawal, Saaket, Wang, Minxian, Klarqvist, Marcus D. R., Smith, Kirk, Shin, Joseph, Dashti, Hesam, Diamant, Nathaniel, Choi, Seung Hoan, Jurgens, Sean J., Ellinor, Patrick T., Philippakis, Anthony, Claussnitzer, Melina, Ng, Kenney, Udler, Miriam S., Batra, Puneet, Khera, Amit V.

“…For any given level of overall adiposity, individuals vary considerably in fat distribution. The inherited basis of fat distribution in the general population…”
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BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases by Agrawal, Saaket, Klarqvist, Marcus D. R., Diamant, Nathaniel, Stanley, Takara L., Ellinor, Patrick T., Mehta, Nehal N., Philippakis, Anthony, Ng, Kenney, Claussnitzer, Melina, Grinspoon, Steven K., Batra, Puneet, Khera, Amit V.

“…For any given body mass index (BMI), individuals vary substantially in fat distribution, and this variation may have important implications for cardiometabolic…”
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Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk by Klarqvist, Marcus D. R., Agrawal, Saaket, Diamant, Nathaniel, Ellinor, Patrick T., Philippakis, Anthony, Ng, Kenney, Batra, Puneet, Khera, Amit V.

“…Inter-individual variation in fat distribution is increasingly recognized as clinically important but is not routinely assessed in clinical practice, in part…”
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Genetic analysis of right heart structure and function in 40,000 people by Pirruccello, James P., Di Achille, Paolo, Nauffal, Victor, Nekoui, Mahan, Friedman, Samuel F., Klarqvist, Marcus D. R., Chaffin, Mark D., Weng, Lu-Chen, Cunningham, Jonathan W., Khurshid, Shaan, Roselli, Carolina, Lin, Honghuang, Koyama, Satoshi, Ito, Kaoru, Kamatani, Yoichiro, Komuro, Issei, Jurgens, Sean J., Benjamin, Emelia J., Batra, Puneet, Natarajan, Pradeep, Ng, Kenney, Hoffmann, Udo, Lubitz, Steven A., Ho, Jennifer E., Lindsay, Mark E., Philippakis, Anthony A., Ellinor, Patrick T.

“…Congenital heart diseases often involve maldevelopment of the evolutionarily recent right heart chamber. To gain insight into right heart structure and…”
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Noninvasive assessment of organ-specific and shared pathways in multi-organ fibrosis using T1 mapping by Nauffal, Victor, Klarqvist, Marcus D. R., Hill, Matthew C., Pace, Danielle F., Di Achille, Paolo, Choi, Seung Hoan, Rämö, Joel T., Pirruccello, James P., Singh, Pulkit, Kany, Shinwan, Hou, Cody, Ng, Kenney, Philippakis, Anthony A., Batra, Puneet, Lubitz, Steven A., Ellinor, Patrick T.

“…Fibrotic diseases affect multiple organs and are associated with morbidity and mortality. To examine organ-specific and shared biologic mechanisms that…”
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Epigenetic analysis of regulatory T cells using multiplex bisulfite sequencing by Rainbow, Daniel B., Yang, Xin, Burren, Oliver, Pekalski, Marcin L., Smyth, Deborah J., Klarqvist, Marcus D. R., Penkett, Christopher J., Brugger, Kim, Martin, Howard, Todd, John A., Wallace, Chris, Wicker, Linda S.

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Genetics of myocardial interstitial fibrosis in the human heart and association with disease by Nauffal, Victor, Di Achille, Paolo, Klarqvist, Marcus D. R., Cunningham, Jonathan W., Hill, Matthew C., Pirruccello, James P., Weng, Lu-Chen, Morrill, Valerie N., Choi, Seung Hoan, Khurshid, Shaan, Friedman, Samuel F., Nekoui, Mahan, Roselli, Carolina, Ng, Kenney, Philippakis, Anthony A., Batra, Puneet, Ellinor, Patrick T., Lubitz, Steven A.

“…Myocardial interstitial fibrosis is associated with cardiovascular disease and adverse prognosis. Here, to investigate the biological pathways that underlie…”
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Clonal haematopoiesis of indeterminate potential predicts incident cardiac arrhythmias by Schuermans, Art, Vlasschaert, Caitlyn, Nauffal, Victor, Cho, So Mi Jemma, Uddin, Md Mesbah, Nakao, Tetsushi, Niroula, Abhishek, Klarqvist, Marcus D R, Weeks, Lachelle D, Lin, Amy E, Saadatagah, Seyedmohammad, Lannery, Kim, Wong, Megan, Hornsby, Whitney, Lubitz, Steven A, Ballantyne, Christie, Jaiswal, Siddhartha, Libby, Peter, Ebert, Benjamin L, Bick, Alexander G, Ellinor, Patrick T, Natarajan, Pradeep, Honigberg, Michael C

“…Abstract Background and Aims Clonal haematopoiesis of indeterminate potential (CHIP), the age-related expansion of blood cells with preleukemic mutations, is…”
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Efficient computation of positional population counts using SIMD instructions by Klarqvist, Marcus D. R., Muła, Wojciech, Lemire, Daniel

“…Summary In several fields such as statistics, machine learning, and bioinformatics, categorical variables are frequently represented as one‐hot encoded…”
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Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction by Agrawal, Saaket, Klarqvist, Marcus D.R., Emdin, Connor, Patel, Aniruddh P., Paranjpe, Manish D., Ellinor, Patrick T., Philippakis, Anthony, Ng, Kenney, Batra, Puneet, Khera, Amit V.

“…Current cardiovascular risk assessment tools use a small number of predictors. Here, we study how machine learning might: (1) enable principled selection from…”
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Regulation of Nuclear Hormone Receptors by MYCN-Driven miRNAs Impacts Neural Differentiation and Survival in Neuroblastoma Patients by Ribeiro, Diogo, Klarqvist, Marcus D.R., Westermark, Ulrica K., Oliynyk, Ganna, Dzieran, Johanna, Kock, Anna, Savatier Banares, Carolina, Hertwig, Falk, Johnsen, John Inge, Fischer, Matthias, Kogner, Per, Lovén, Jakob, Arsenian Henriksson, Marie

“…MYCN amplification and MYC signaling are associated with high-risk neuroblastoma with poor prognosis. Treating these tumors remains challenging, although…”
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Efficient Computation of Positional Population Counts Using SIMD Instructions by Klarqvist, Marcus D. R, Muła, Wojciech, Lemire, Daniel

“…Concurrency and Computation: Practice and Experience 33 (17), 2021 In several fields such as statistics, machine learning, and bioinformatics, categorical…”
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Cohort design and natural language processing to reduce bias in electronic health records research by Khurshid, Shaan, Reeder, Christopher, Harrington, Lia X., Singh, Pulkit, Sarma, Gopal, Friedman, Samuel F., Di Achille, Paolo, Diamant, Nathaniel, Cunningham, Jonathan W., Turner, Ashby C., Lau, Emily S., Haimovich, Julian S., Al-Alusi, Mostafa A., Wang, Xin, Klarqvist, Marcus D. R., Ashburner, Jeffrey M., Diedrich, Christian, Ghadessi, Mercedeh, Mielke, Johanna, Eilken, Hanna M., McElhinney, Alice, Derix, Andrea, Atlas, Steven J., Ellinor, Patrick T., Philippakis, Anthony A., Anderson, Christopher D., Ho, Jennifer E., Batra, Puneet, Lubitz, Steven A.

“…Electronic health record (EHR) datasets are statistically powerful but are subject to ascertainment bias and missingness. Using the Mass General Brigham…”
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