45 results on '"Risch, Lorenz"'
Search Results
2. Post-acute sequelae after SARS-CoV-2 infection by viral variant and vaccination status: a multicenter cross-sectional study
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Kahlert, Christian R, Strahm, Carol, Güsewell, Sabine, Cusini, Alexia, Brucher, Angela, Goppel, Stephan, Möller, Elisabeth, Möller, J Carsten, Ortner, Manuela, Ruetti, Markus, Stocker, Reto, Vuichard-Gysin, Danielle, Besold, Ulrike, McGeer, Allison, Risch, Lorenz, Friedl, Andrée, Schlegel, Matthias, Vernazza, Pietro, Kuster, Stefan P, and Kohler, Philipp
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610 Medicine & health - Abstract
BACKGROUND Disentangling the effects of SARS-CoV-2 variants and vaccination on the occurrence of post-acute sequelae of SARS-CoV-2 (PASC) is crucial to estimate and reduce the burden of PASC. METHODS We performed a cross-sectional analysis (May/June 2022) within a prospective multicenter healthcare worker (HCW) cohort in North-Eastern Switzerland. HCW were stratified by viral variant and vaccination status at time of their first positive SARS-CoV-2 nasopharyngeal swab. HCW without positive swab and with negative serology served as controls. The sum of eighteen self-reported PASC symptoms was modeled with univariable and multivariable negative-binomial regression to analyse the association of mean symptom number with viral variant and vaccination status. RESULTS Among 2'912 participants (median age 44 years, 81.3% female), PASC symptoms were significantly more frequent after wild-type infection (estimated mean symptom number 1.12, p
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- 2023
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3. Concentrations of Serum Brain Injury Biomarkers Following SARS-CoV-2 Infection in Individuals with and without Long-COVID-Results from the Prospective Population-Based COVI-GAPP Study
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Telser, Julia, Grossmann, Kirsten, Weideli, Ornella C, Hillmann, Dorothea, Aeschbacher, Stefanie, Wohlwend, Niklas, Velez, Laura, Kuhle, Jens, Maleska, Aleksandra, Benkert, Pascal, Risch, Corina, Conen, David, Risch, Martin, and Risch, Lorenz
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610 Medicine & health - Abstract
It is unknown whether neurological symptoms are associated with brain injury after SARS-CoV-2 infections and whether brain injury and related symptoms also emerge in Long-COVID patients. Biomarkers such as serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) can be used to elucidate neuro-axonal and astroglial injuries. We investigated whether these biomarkers are associated with COVID-19 infection status, associated symptoms and Long-COVID. From 146 individuals of the general population with a post-acute, mild-to-moderate SARS-CoV-2 infection, sNfL and sGFAP were measured before, during and after (five and ten months) the infection. Individual symptoms and Long-COVID status were assessed using questionnaires. Neurological associated symptoms were described for individuals after a mild and moderate COVID-19 infection; however, sNfL (p = 0.74) and sGFAP (p = 0.24) did not change and were not associated with headache (p = 0.51), fatigue (p = 0.93), anosmia (p = 0.77) or ageusia (p = 0.47). In Long-COVID patients, sGFAP (p = 0.038), but not sNfL (p = 0.58), significantly increased but was not associated with neurological associated symptoms. Long-COVID status, but not post-acute SARS-CoV-2 infections, may be associated with astroglial injury/activation, even if neurological associated symptoms were not correlated.
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- 2023
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4. V2 Scient Poster Noel Stierlin Oneanalyte
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Risch, Lorenz, Hemmerle, Andreas, Jung, Karin, Thumfart, Jörg, and Stierlin, Noel
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- 2023
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5. Genome-wide analyses identify SCN5A as a susceptibility locus for premature atrial contraction frequency
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Thériault, Sébastien, Imboden, Medea, Biggs, Mary L, Austin, Thomas R, Aeschbacher, Stefanie, Schaffner, Emmanuel, Brody, Jennifer A, Bartz, Traci M, Risch, Martin, Grossmann, Kirsten, Lin, Henry J, Soliman, Elsayed Z, Post, Wendy S, Risch, Lorenz, Krieger, Jose E, Pereira, Alexandre C, Heckbert, Susan R, Sotoodehnia, Nona, Probst-Hensch, Nicole M, and Conen, David
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Multidisciplinary ,610 Medicine & health ,610 Medizin und Gesundheit - Abstract
Premature atrial contractions (PACs) are frequently observed on electrocardiograms and are associated with increased risks of atrial fibrillation (AF), stroke, and mortality. In this study, we aimed to identify genetic susceptibility loci for PAC frequency. We performed a genome-wide association study meta-analysis with PAC frequency obtained from ambulatory cardiac monitoring in 4,831 individuals of European ancestry. We identified a genome-wide significant locus at the SCN5A gene. The lead variant, rs7373862, located in an intron of SCN5A, was associated with an increase of 0.12 [95% CI 0.08-0.16] standard deviations of the normalized PAC frequency per risk allele. Among genetic variants previously associated with AF, there was a significant enrichment in concordance of effect for PAC frequency (n = 73/106, p = 5.1 x 10(-5)). However, several AF risk loci, including PITX2, were not associated with PAC frequency. These findings suggest the existence of both shared and distinct genetic mechanisms for PAC frequency and AF.
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- 2022
6. Risk and symptoms of COVID-19 in health professionals according to baseline immune status and booster vaccination during the Delta and Omicron waves in Switzerland-A multicentre cohort study
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Babouee Flury, Baharak, Güsewell, Sabine, Egger, Thomas, Leal, Onicio, Brucher, Angela, Lemmenmeier, Eva, Meier Kleeb, Dorette, Möller, J Carsten, Rieder, Philip, Rütti, Markus, Schmid, Hans-Ruedi, Stocker, Reto, Vuichard-Gysin, Danielle, Wiggli, Benedikt, Besold, Ulrike, McGeer, Allison, Risch, Lorenz, Friedl, Andrée, Schlegel, Matthias, Kuster, Stefan P, Kahlert, Christian R, and Kohler, Philipp
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SARS-CoV-2 ,Vaccination ,Humans ,COVID-19 ,610 Medicine & health ,Viral Vaccines ,Prospective Studies ,610 Medizin und Gesundheit ,Switzerland - Abstract
BACKGROUND Knowledge about protection conferred by previous Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and/or vaccination against emerging viral variants allows clinicians, epidemiologists, and health authorities to predict and reduce the future Coronavirus Disease 2019 (COVID-19) burden. We investigated the risk and symptoms of SARS-CoV-2 (re)infection and vaccine breakthrough infection during the Delta and Omicron waves, depending on baseline immune status and subsequent vaccinations. METHODS AND FINDINGS In this prospective, multicentre cohort performed between August 2020 and March 2022, we recruited hospital employees from ten acute/nonacute healthcare networks in Eastern/Northern Switzerland. We determined immune status in September 2021 based on serology and previous SARS-CoV-2 infections/vaccinations: Group N (no immunity); Group V (twice vaccinated, uninfected); Group I (infected, unvaccinated); Group H (hybrid: infected and ≥1 vaccination). Date and symptoms of (re)infections and subsequent (booster) vaccinations were recorded until March 2022. We compared the time to positive SARS-CoV-2 swab and number of symptoms according to immune status, viral variant (i.e., Delta-dominant before December 27, 2021; Omicron-dominant on/after this date), and subsequent vaccinations, adjusting for exposure/behavior variables. Among 2,595 participants (median follow-up 171 days), we observed 764 (29%) (re)infections, thereof 591 during the Omicron period. Compared to group N, the hazard ratio (HR) for (re)infection was 0.33 (95% confidence interval [CI] 0.22 to 0.50, p < 0.001) for V, 0.25 (95% CI 0.11 to 0.57, p = 0.001) for I, and 0.04 (95% CI 0.02 to 0.10, p < 0.001) for H in the Delta period. HRs substantially increased during the Omicron period for all groups; in multivariable analyses, only belonging to group H was associated with protection (adjusted HR [aHR] 0.52, 95% CI 0.35 to 0.77, p = 0.001); booster vaccination was associated with reduction of breakthrough infection risk in groups V (aHR 0.68, 95% CI 0.54 to 0.85, p = 0.001) and H (aHR 0.67, 95% CI 0.45 to 1.00, p = 0.048), largely observed in the early Omicron period. Group H (versus N, risk ratio (RR) 0.80, 95% CI 0.66 to 0.97, p = 0.021) and participants with booster vaccination (versus nonboosted, RR 0.79, 95% CI 0.71 to 0.88, p < 0.001) reported less symptoms during infection. Important limitations are that SARS-CoV-2 swab results were self-reported and that results on viral variants were inferred from the predominating strain circulating in the community at that time, rather than sequencing. CONCLUSIONS Our data suggest that hybrid immunity and booster vaccination are associated with a reduced risk and reduced symptom number of SARS-CoV-2 infection during Delta- and Omicron-dominant periods. For previously noninfected individuals, booster vaccination might reduce the risk of symptomatic Omicron infection, although this benefit seems to wane over time.
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- 2022
7. Coccidioides posadasii SSM2022
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Krolik, Michal, Fleisch, Barbara, Lampert, Claudia, Anne-Katrin Zimmermann, Mühlethaler, Konrad, Strahm, Carol, Bodmer, Thomas, Bigler, Susanna, Risch, Martin, Risch, Lorenz, and Wohlwend, Nadia
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- 2022
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8. Additional file 1 of Impact of respirator versus surgical masks on SARS-CoV-2 acquisition in healthcare workers: a prospective multicentre cohort
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Haller, Sabine, G��sewell, Sabine, Egger, Thomas, Scanferla, Giulia, Thoma, Reto, Leal-Neto, Onicio B., Flury, Domenica, Brucher, Angela, Lemmenmeier, Eva, M��ller, J. Carsten, Rieder, Philip, R��tti, Markus, Stocker, Reto, Vuichard-Gysin, Danielle, Wiggli, Benedikt, Besold, Ulrike, Kuster, Stefan P., McGeer, Allison, Risch, Lorenz, Schlegel, Matthias, Friedl, Andr��e, Vernazza, Pietro, Kahlert, Christian R., and Kohler, Philipp
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body regions ,fungi ,skin and connective tissue diseases - Abstract
Additional file 1. Table S1. List of participating health care institutions with local mask policies (FFP2 or surgical masks), self-reported global adherence, number of healthcare workers (HCW) participating in the study, self-reported FFP2 use in contact with COVID-19 patients, and SARS-CoV-2 seroprevalence among healthcare workers. Table S2. Description and categorization of variables used in analyses. Table S3. Multivariable Cox regression analysis (full model and sensitivity analyses) with outcome ���Time to first SARS-CoV-2- positive nasopharyngeal PCR/rapid antigen test���. Table S4. Complete case analysis excluding observations with missing values: A) Cox regression (outcome time to first SARS-CoV-2 positive swab); B) multivariable logistic regression (outcome SARS-CoV-2 seroconversion). Table S5. Results of multivariable logistic regression analysis (full model and sensitivity analyses) regarding outcome ���SARS-CoV-2 seroconversion���. Table S6. Subgroup analysis of HCW with frequent COVID-19 exposure vs. HCW with less frequent COVID-19 exposure; A) Cox regression (outcome SARS-CoV-2 positive swab); B) multivariable logistic regression (outcome SARS-CoV-2 seroconversion). Table S7. Subgroup analysis of HCW performing AGP: A) Cox regression (outcome SARS-CoV-2 positive swab); B) multivariable logistic regression (outcome SARS-CoV-2 seroconversion).
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- 2022
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9. Safety Evaluation of a Medical Congress Held During the COVID-19 Pandemic-A Prospective Cohort
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Sumer, Johannes, Flury, Domenica, Kahlert, Christian R, Mueller, Nicolas J, Risch, Lorenz, Nigg, Susanne, Seneghini, Marco, Vernazza, Pietro, Schlegel, Matthias, Kohler, Philipp, University of Zurich, and Sumer, Johannes
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10234 Clinic for Infectious Diseases ,610 Medicine & health ,2739 Public Health, Environmental and Occupational Health - Published
- 2022
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10. Pulmonary Surfactant Proteins are Inhibited by IgA Autoantibodies in Severe COVID-19
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Sinnberg, Tobias, Lichtensteiger, Christa, Hasan Ali, Omar, Pop, Oltin T, Jochum, Ann-Kristin, Risch, Lorenz, Brugger, Silvio D, Velic, Ana, Bomze, David, Kohler, Philipp, Vernazza, Pietro, Albrich, Werner C, Kahlert, Christian R, Abdou, Maire-Therese, Wyss, Nina, Hofmeister, Kathrin, Niessner, Heike, Zinner, Carl, Gilardi, Mara, Tzankov, Alexandar, Röcken, Martin, Dulovic, Alex, Mairpady Shambat, Srikanth, Ruetalo, Natalia, Buehler, Philipp K, Scheier, Thomas C, Jochum, Wolfram, Kern, Lukas, Henz, Samuel, Schneider, Tino, Kuster, Gabriela M, Lampart, Maurin, Siegemund, Martin, Bingisser, Roland, Schindler, Michael, Schneiderhan-Marra, Nicole, Kalbacher, Hubert, McCoy, Kathy D, Spengler, Werner, Brutsche, Martin H, Macek, Boris, Twerenbold, Raphael, Penninger, Josef M, Matter, Matthias S, and Flatz, Lukas
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610 Medicine & health - Abstract
RATIONALE Coronavirus disease 2019 (COVID-19) can lead to acute respiratory distress syndrome with fatal outcomes. Evidence suggests that dysregulated immune responses, including autoimmunity, are key pathogenic factors. OBJECTIVES To assess whether IgA autoantibodies target lung-specific proteins and contribute to disease severity. METHODS We collected 147 blood, 9 lung tissue, and 36 bronchoalveolar lavage fluid samples from three tertiary hospitals in Switzerland and one in Germany. Severe COVID-19 was defined by the need to administer oxygen. We investigated the presence of IgA autoantibodies and their effects on pulmonary surfactant in COVID-19 using the following methods: immunofluorescence on tissue samples, immunoprecipitations followed by mass spectrometry on bronchoalveolar lavage fluid samples, enzyme-linked immunosorbent assays on blood samples, and surface tension measurements with medical surfactant. MEASUREMENTS AND MAIN RESULTS IgA autoantibodies targeting pulmonary surfactant proteins B and C were elevated in patients with severe COVID-19, but not in patients with influenza or bacterial pneumonia. Notably, pulmonary surfactant failed to reduce surface tension after incubation with either plasma or purified IgA from patients with severe COVID-19. CONCLUSIONS Our data suggest that patients with severe COVID-19 harbor IgA against pulmonary surfactant proteins B and C and that these antibodies block the function of lung surfactant, potentially contributing to alveolar collapse and poor oxygenation. This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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- 2022
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11. A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the Remote Early Detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial
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Brakenhoff, Timo B., Franks, Billy, Goodale, Brianna Mae, van de Wijgert, Janneke, Montes, Santiago, Veen, Duco, Fredslund, Eskild K., Rispens, Theo, Risch, Lorenz, Dowling, Ariel V., Folarin, Amos A., Bruijning, Patricia, Dobson, Richard, Heikamp, Tessa, Klaver, Paul, Cronin, Maureen, Grobbee, Diederick E., Denaxas, Spiros, Reitsma, Johannes B., Simon, Christian, Kuchta, Alison, Stolk, Pieter, Downward, George, van Lier, René, Kjellberg, Jakob, Risch, Martin, Grossmann, Kirsten, Conen, David, Aeschbacher, Stefanie, and AII - Inflammatory diseases
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medicine.medical_specialty ,Medicine (General) ,COVID-19 Vaccines ,Letter ,Adolescent ,Coronavirus disease 2019 (COVID-19) ,Wearable device ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Early detection ,Wearable computer ,Medicine (miscellaneous) ,Mobile application ,610 Medicine & health ,Update ,law.invention ,Wearable Electronic Devices ,03 medical and health sciences ,0302 clinical medicine ,R5-920 ,Randomized controlled trial ,law ,Machine learning ,Protocol ,Humans ,Medicine ,Pharmacology (medical) ,Prospective Studies ,030212 general & internal medicine ,Prospective cohort study ,Randomized Controlled Trials as Topic ,Protocol (science) ,Randomised controlled trial ,Cross-Over Studies ,business.industry ,SARS-CoV-2 ,COVID-19 ,Symptom diary ,Crossover study ,Algorithm ,Prospective ,Physical therapy ,business ,Physiological parameters ,030217 neurology & neurosurgery - Abstract
Objectives It is currently thought that most—but not all—individuals infected with SARS-CoV-2 develop symptoms, but that the infectious period starts on average two days before the first overt symptoms appear. It is estimated that pre- and asymptomatic individuals are responsible for more than half of all transmissions. By detecting infected individuals before they have overt symptoms, wearable devices could potentially and significantly reduce the proportion of transmissions by pre-symptomatic individuals. Using laboratory-confirmed SARS-CoV-2 infections (detected via serology tests [to determine if there are antibodies against the SARS-CoV-2 in the blood] or SARS-CoV-2 infection tests such as polymerase chain reaction [PCR] or antigen tests) as the gold standard, we will determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for the following two algorithms to detect first time SARS-CoV-2 infection including early or asymptomatic infection: the algorithm using Ava bracelet data when coupled with self-reported Daily Symptom Diary data (Wearable + Symptom Data Algo; experimental condition) the algorithm using self-reported Daily Symptom Diary data alone (Symptom Only Algo; control condition) In addition, we will determine which of the two algorithms has superior performance characteristics for detecting SARS-CoV-2 infection including early or asymptomatic infection as confirmed by SARS-CoV-2 virus testing. Trial design The trial is a randomized, single-blinded, two-period, two-sequence crossover trial. All subjects will participate in an initial Learning Phase (varying from 2 weeks to 3 months depending on enrolment date), followed by two contiguous 3-month test phases, Period 1 and Period 2. Each subject will undergo the experimental condition (the Wearable + Symptom Data Algo) in one of these periods and the control condition (Symptom Only Algo) in the other period. The order will be randomly assigned, resulting in subjects being allocated 1:1 to either Sequence 1 (experimental condition first) or Sequence 2 (control condition first). Based on demographics, medical history and/or profession, each subject will be stratified at baseline into a high-risk and normal-risk group within each sequence. Participants The trial will be conducted in the Netherlands. A target of 20,000 subjects will be enrolled. Based on demographics, medical history and/or profession, each subject will be stratified at baseline into a high-risk and normal-risk group within each sequence. This results in approximately 6,500 normal-risk individuals and 3,500 high-risk individuals per sequence. Subjects will be recruited from previously studied cohorts as well as via public campaigns and social media. All data for this study will be collected remotely through the Ava COVID-RED app, the Ava bracelet, surveys in the COVID-RED web portal, and self-sampling serology and PCR kits. During recruitment, subjects will be invited to visit the COVID-RED web portal (www.covid-red.eu). After successfully completing the enrolment questionnaire, meeting eligibility criteria and indicating interest in joining the study, subjects will receive the subject information sheet and informed consent form. Subjects can enrol in COVID-RED if they comply with the following inclusion and exclusion criteria. Inclusion criteria: Resident of the Netherlands At least 18 years old Informed consent provided (electronic) Willing to adhere to the study procedures described in the protocol Must have a smartphone that runs at least Android 8.0 or iOS 13.0 operating systems and is active for the duration of the study (in the case of a change of mobile number, study team should be notified) Be able to read, understand and write Dutch Exclusion criteria: Previous positive SARS-CoV-2 test result (confirmed either through PCR/antigen or antibody tests; self-reported) Previously received a vaccine developed specifically for COVID-19 or in possession of an appointment for vaccination in the near future (self-reported) Current suspected (e.g., waiting for test result) COVID-19 infection or symptoms of a COVID-19 infection (self-reported) Participating in any other COVID-19 clinical drug, vaccine, or medical device trial (self-reported) Electronic implanted device (such as a pacemaker; self-reported) Pregnant at time of informed consent (self-reported) Suffering from cholinergic urticaria (per the Ava bracelet’s User Manual; self-reported) Staff involved in the management or conduct of this study Intervention and comparator All subjects will be instructed to complete the Daily Symptom Diary in the Ava COVID-RED app daily, wear their Ava bracelet each night and synchronise it with the app each day for the entire period of study participation. Provided with wearable sensor and/or self-reported symptom data within the last 24 hours, the Ava COVID-RED app’s underlying algorithms will provide subjects with a real-time indicator of their overall health and well-being. Subjects will see one of three messages, notifying them that: no seeming deviations in symptoms and/or physiological parameters have been detected; some changes in symptoms and/or physiological parameters have been detected and they should self-isolate; or alerting them that deviations in their symptoms and/or physiological parameters could be suggestive of a potential COVID-19 infection and to seek additional testing. We will assess intraperson performance of the algorithms in the experimental condition (Wearable + Symptom Data Algo) and control conditions (Symptom Only Algo). Main outcomes The trial will evaluate the use and performance of the Ava COVID-RED app and Ava bracelet, which uses sensors to measure breathing rate, pulse rate, skin temperature, and heart rate variability for the purpose of early and asymptomatic detection and monitoring of SARS-CoV-2 in general and high-risk populations. Using laboratory-confirmed SARS-CoV-2 infections (detected via serology tests, PCR tests and/or antigen tests) as the gold standard, we will determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for each of the following two algorithms to detect first-time SARS-CoV-2 infection including early or asymptomatic infection: the algorithm using Ava Bracelet data when coupled with the self-reported Daily Symptom Diary data, and the algorithm using self-reported Daily Symptom Diary data alone. In addition, we will determine which of the two algorithms has superior performance characteristics for detecting SARS-CoV-2 infection including early or asymptomatic infection as confirmed by SARS-CoV-2 virus testing. The protocol contains an additional seventeen secondary outcomes which address infection incidence rates, health resource utilization, symptoms reported by SARS-CoV-2 infected participants, and the rate of breakthrough and asymptomatic SARS-CoV-2 infections among individuals vaccinated against COVID-19. PCR or antigen testing will occur when the subject receives a notification from the algorithm to seek additional testing. Subjects will be advised to get tested via the national testing programme, and report the testing result in the Ava COVID-RED app and a survey. If they cannot obtain a test via the national testing programme, they will receive a nasal swab self-sampling kit at home, and the sample will be tested by PCR in a trial-affiliated laboratory. In addition, all subjects will be asked to take a capillary blood sample at home at baseline (Month 0), and at the end of the Learning Phase (Month 3), Period 1 (Month 6) and Period 2 (Month 9). These samples will be used for SARS-CoV-2-specific antibody testing in a trial-affiliated laboratory, differentiating between antibodies resulting from a natural infection and antibodies resulting from COVID-19 vaccination (as vaccination will gradually be rolled out during the trial period). Baseline samples will only be analysed if the sample collected at the end of the Learning Phase is positive, and samples collected at the end of Period 1 will only be analysed if the sample collected at the end of Period 2 is positive. When subjects obtain a positive PCR/antigen or serology test result during the study, they will continue to be in the study but will be moved into a so-called “COVID-positive” mode in the Ava COVID-RED app. This means that they will no longer receive recommendations from the algorithms but can still contribute and track symptom and bracelet data. The primary analysis of the main objective will be executed using data collected in Period 2 (Month 6 through 9). Within this period, serology tests (before and after Period 2) and PCR/antigen tests (taken based on recommendations by the algorithms) will be used to determine if a subject was infected with SARS-CoV-2 or not. Within this same time period, it will be determined if the algorithms gave any recommendations for testing. The agreement between these quantities will be used to evaluate the performance of the algorithms and how these compare between the study conditions. Randomisation All eligible subjects will be randomized using a stratified block randomization approach with an allocation ratio of 1:1 to one of two sequences (experimental condition followed by control condition or control condition followed by experimental condition). Based on demographics, medical history and/or profession, each subject will be stratified at baseline into a high-risk and normal-risk group within each sequence, resulting in equal numbers of high-risk and normal-risk individuals between the sequences. Blinding (masking) In this study, subjects will be blinded as to study condition and randomization sequence. Relevant study staff and the device manufacturer will be aware of the assigned sequence. The subject will wear the Ava bracelet and complete the Daily Symptom Diary in the Ava COVID-RED app for the full duration of the study, and they will not know if the feedback they receive about their potential infection status will only be based on data they entered in the Daily Symptom Diary within the Ava COVID-RED app or based on both the data from the Daily Symptom Diary and the Ava bracelet. Numbers to be randomised (sample size) 20,000 subjects will be recruited and randomized 1:1 to either Sequence 1 (experimental condition followed by control condition) or Sequence 2 (control condition followed by experimental condition), taking into account their risk level. This results in approximately 6,500 normal-risk and 3,500 high-risk individuals per sequence. Trial Status Protocol version: 1.2, dated January 22nd, 2021 Start of recruitment: February 22nd, 2021 End of recruitment (estimated): April 2021 End of follow-up (estimated): December 2021 Trial registration The trial has been registered at the Netherlands Trial Register on the 18th of February, 2021 with number NL9320 (https://www.trialregister.nl/trial/9320) Full protocol The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.
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- 2021
12. Quantification of the spread of SARS-CoV-2 variant B.1.1.7 in Switzerland
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Chen, Chaoran, Nadeau, Sarah Ann, Topolsky, Ivan, Manceau, Marc, Huisman, Jana S, Jablonski, Kim Philipp, Fuhrmann, Lara, Dreifuss, David, Jahn, Katharina, Beckmann, Christiane, Redondo, Maurice, Noppen, Christoph, Risch, Lorenz, Risch, Martin, Wohlwend, Nadia, Kas, Sinem, Bodmer, Thomas, Roloff, Tim, Stange, Madlen, Egli, Adrian, Eckerle, Isabella, Kaiser, Laurent, Denes, Rebecca, Feldkamp, Mirjam, Nissen, Ina, Santacroce, Natascha, Burcklen, Elodie, Aquino, Catharine, de Gouvea, Andreia Cabral, Moccia, Maria Domenica, et al, and University of Zurich
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2404 Microbiology ,2405 Parasitology ,2406 Virology ,570 Life sciences ,biology ,610 Medicine & health ,10071 Functional Genomics Center Zurich ,2739 Public Health, Environmental and Occupational Health ,2725 Infectious Diseases ,2713 Epidemiology - Published
- 2021
13. Erratum to: Severe Coronavirus Disease 2019 (COVID-19) is Associated With Elevated Serum Immunoglobulin (Ig) A and Antiphospholipid IgA Antibodies
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Hasan Ali, Omar, Bomze, David, Risch, Lorenz, Brugger, Silvio D, Paprotny, Matthias, Weber, Myriam, Thiel, Sarah, Kern, Lukas, Albrich, Werner C, Kohler, Philipp, Kahlert, Christian R, Vernazza, Pietro, Bühler, Philipp K, Schüpbach, Reto A, Gómez-Mejia, Alejandro, Popa, Alexandra M, Bergthaler, Andreas, Penninger, Josef M, Flatz, Lukas, and University of Zurich
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610 Medicine & health ,10023 Institute of Intensive Care Medicine ,COVID - Published
- 2021
14. Impact of respirator versus surgical masks on SARS-CoV-2 acquisition in healthcare workers: a prospective multicentre cohort
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Haller, Sabine, Güsewell, Sabine, Egger, Thomas, Scanferla, Giulia, Thoma, Reto, Leal-Neto, Onicio B, Flury, Domenica, Brucher, Angela, Lemmenmeier, Eva, Möller, J Carsten, Rieder, Philip, Rütti, Markus, Stocker, Reto, Vuichard-Gysin, Danielle, Wiggli, Benedikt, Besold, Ulrike, Kuster, Stefan P, McGeer, Allison, Risch, Lorenz, Schlegel, Matthias, Friedl, Andrée, Vernazza, Pietro, Kahlert, Christian R, and Kohler, Philipp
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Adult ,Male ,Adolescent ,Health Personnel ,610 Medicine & health ,Infectious and parasitic diseases ,RC109-216 ,Kaplan-Meier Estimate ,Young Adult ,Surgical mask ,Healthcare workers ,Humans ,Prospective Studies ,Respiratory Protective Devices ,Aerosol ,Aged ,Aerosols ,Infection Control ,Research ,Masks ,COVID-19 ,Middle Aged ,Logistic Models ,Seroconversion ,Female ,Respirator ,Switzerland - Abstract
Background There is insufficient evidence regarding the role of respirators in the prevention of SARS-CoV-2 infection. We analysed the impact of filtering facepiece class 2 (FFP2) versus surgical masks on the risk of SARS-CoV-2 acquisition among Swiss healthcare workers (HCW). Methods Our prospective multicentre cohort enrolled HCW from June to August 2020. Participants were asked about COVID-19 risk exposures/behaviours, including preferentially worn mask type when caring for COVID-19 patients outside of aerosol-generating procedures. The impact of FFP2 on (1) self-reported SARS-CoV-2-positive nasopharyngeal PCR/rapid antigen tests captured during weekly surveys, and (2) SARS-CoV-2 seroconversion between baseline and January/February 2021 was assessed. Results We enrolled 3259 participants from nine healthcare institutions, whereof 716 (22%) preferentially used FFP2. Among these, 81/716 (11%) reported a SARS-CoV-2-positive swab, compared to 352/2543 (14%) surgical mask users; seroconversion was documented in 85/656 (13%) FFP2 and 426/2255 (19%) surgical mask users. Adjusted for baseline characteristics, COVID-19 exposure, and risk behaviour, FFP2 use was non-significantly associated with decreased risk for SARS-CoV-2-positive swab (adjusted hazard ratio [aHR] 0.8, 95% CI 0.6–1.0) and seroconversion (adjusted odds ratio [aOR] 0.7, 95% CI 0.5–1.0); household exposure was the strongest risk factor (aHR 10.1, 95% CI 7.5–13.5; aOR 5.0, 95% CI 3.9–6.5). In subgroup analysis, FFP2 use was clearly protective among those with frequent (> 20 patients) COVID-19 exposure (aHR 0.7 for positive swab, 95% CI 0.5–0.8; aOR 0.6 for seroconversion, 95% CI 0.4–1.0). Conclusions Respirators compared to surgical masks may convey additional protection from SARS-CoV-2 for HCW with frequent exposure to COVID-19 patients. Supplementary Information The online version contains supplementary material available at 10.1186/s13756-022-01070-6.
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- 2021
15. Genetic analyses of the QT interval and its components in over 250K individuals identifies new loci and pathways affecting ventricular depolarization and repolarization
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Young, William J, Lahrouchi, Najim, Isaacs, Aaron, Duong, ThuyVy, Foco, Luisa, Ahmed, Farah, Brody, Jennifer A, Salman, Reem, Noordam, Raymond, Benjamins, Jan-Walter, Haessler, Jeffrey, Lyytikäinen, Leo-Pekka, Repetto, Linda, Concas, Maria Pina, van den Berg, Marten E, Weiss, Stefan, Baldassari, Antoine R, Bartz, Traci M, Cook, James P, Evans, Daniel S, Freudling, Rebecca, Hines, Oliver, Isaksen, Jonas L, Lin, Honghuang, Mei, Hao, Moscati, Arden, Müller-Nurasyid, Martina, Nursyifa, Casia, Qian, Yong, Richmond, Anne, Roselli, Carolina, Ryan, Kathleen A, Tarazona-Santos, Eduardo, Thériault, Sébastien, van Duijvenboden, Stefan, Warren, Helen R, Yao, Jie, Raza, Dania, Aeschbacher, Stefanie, Ahlberg, Gustav, Alonso, Alvaro, Andreasen, Laura, Bis, Joshua C, Boerwinkle, Eric, Campbell, Archie, Catamo, Eulalia, Cocca, Massimiliano, Cutler, Michael J, Darbar, Dawood, De Grandi, Alessandro, De Luca, Antonio, Ding, Jun, Ellervik, Christina, Ellinor, Patrick T, Felix, Stephan B, Froguel, Philippe, Fuchsberger, Christian, Gögele, Martin, Graff, Claus, Graff, Mariaelisa, Guo, Xiuqing, Hansen, Torben, Heckbert, Susan R, Huang, Paul L, Huikuri, Heikki V, Hutri-Kähönen, Nina, Ikram, M Arfan, Jackson, Rebecca D, Junttila, Juhani, Kavousi, Maryam, Kors, Jan A, Leal, Thiago P, Lemaitre, Rozenn N, Lin, Henry J, Lind, Lars, Linneberg, Allan, Liu, Simin, MacFarlane, Peter W, Mangino, Massimo, Meitinger, Thomas, Mezzavilla, Massimo, Mishra, Pashupati P, Mitchell, Rebecca N, Mononen, Nina, Montasser, May E, Morrison, Alanna C, Nauck, Matthias, Nauffal, Victor, Navarro, Pau, Nikus, Kjell, Pare, Guillaume, Patton, Kristen K, Pelliccione, Giulia, Pittman, Alan, Porteous, David J, Pramstaller, Peter P, Preuss, Michael H, Raitakari, Olli T, Reiner, Alexander P, Ribeiro, Antonio Luiz P, Rice, Kenneth M, Risch, Lorenz, Schlessinger, David, Schotten, Ulrich, Schurmann, Claudia, Shen, Xia, Shoemaker, M Benjamin, Sinagra, Gianfranco, Sinner, Moritz F, Soliman, Elsayed Z, Stoll, Monika, Strauch, Konstantin, Tarasov, Kirill, Taylor, Kent D, Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Weng, Lu-Chen, Whitsel, Eric A, Wilson, James G, Avery, Christy L, Conen, David, Correa, Adolfo, Cucca, Francesco, Dörr, Marcus, Gharib, Sina A, Girotto, Giorgia, Grarup, Niels, Hayward, Caroline, Jamshidi, Yalda, Järvelin, Marjo-Riitta, Jukema, J Wouter, Kääb, Stefan, Kähönen, Mika, Kanters, Jørgen K, Kooperberg, Charles, Lehtimäki, Terho, Lima-Costa, Maria Fernanda, Liu, Yongmei, Loos, Ruth J.F, Lubitz, Steven A, Mook-Kanamori, Dennis O, Morris, Andrew P, O'Connell, Jeffrey R, Olesen, Morten Salling, Orini, Michele, Padmanabhan, Sandosh, Pattaro, Cristian, Peters, Annette, Psaty, Bruce M, Rotter, Jerome I, Stricker, Bruno, van der Harst, Pim, van Duijn, Cornelia M, Verweij, Niek, Wilson, James F, Arking, Dan E, Ramírez, Julia, Lambiase, Pier D, Sotoodehnia, Nona, Mifsud, Borbala, Newton-Cheh, Christopher, and Munroe, Patricia B
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genetic and genomic medicine ,cardiovascular system ,cardiovascular diseases - Abstract
The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization (QRS duration) and repolarization (JT interval). Abnormalities of the QT interval are associated with potentially fatal ventricular arrhythmia. We conducted genome-wide multi-ancestry analyses in >250,000 individuals and identified 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identified associations with Mendelian disease genes. Enrichments were observed in established pathways for QT and JT, with new genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast, connective tissue components and processes for cell growth and extracellular matrix interactions were significantly enriched for QRS. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlighted potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization.
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- 2021
16. Prevalence of the SARS-CoV-2 VOC B.1.1.7 variant in Switzerland an Liechtenstein: an estimate at new years eve 2020
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Risch, Lorenz, Kaiser, Laurent, Wohlwend, Nadia, Eckerle, Isabella, Imperiali, Mauro, Bodmer, Thomas, Ferillo, Sabine Yerly, Roloff, Tim, Egli, Adrian, Risch, Martin, and Rudolf, Fabian
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- 2021
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17. Frequency of the S-gene dropout phenomenon as a proxy for potential occurrence of SARS-CoV-2 Omicron (B.1.1.529) during calendar weeks 38 -47 2021 in Switzerland and Liechtenstein- preliminary results
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Hilti, Dominique, Wohlwend, Nadia, Wehrli, Faina, Kas, Sinem, Krolik, Michal, Risch, Corina, Imperiali, Mauro, Bodmer, Thomas, Roloff, Tim, Egli, Adrian, Risch, Martin, and Risch, Lorenz
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- 2021
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18. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction
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Ntalla, Ioanna, Weng, Lu-Chen, Cartwright, James H, Hall, Amelia Weber, Sveinbjornsson, Gardar, Tucker, Nathan R, Choi, Seung Hoan, Chaffin, Mark D, Roselli, Carolina, Barnes, Michael R, Mifsud, Borbala, Warren, Helen R, Hayward, Caroline, Marten, Jonathan, Cranley, James J, Concas, Maria Pina, Gasparini, Paolo, Boutin, Thibaud, Kolcic, Ivana, Polasek, Ozren, Rudan, Igor, Araujo, Nathalia M, Lima-Costa, Maria Fernanda, Ribeiro, Antonio Luiz P, Souza, Renan P, Tarazona-Santos, Eduardo, Giedraitis, Vilmantas, Ingelsson, Erik, Mahajan, Anubha, Morris, Andrew P, Del Greco M, Fabiola, Foco, Luisa, Gögele, Martin, Hicks, Andrew A, Cook, James P, Lind, Lars, Lindgren, Cecilia M, Sundström, Johan, Nelson, Christopher P, Riaz, Muhammad B, Samani, Nilesh J, Sinagra, Gianfranco, Ulivi, Sheila, Kähönen, Mika, Mishra, Pashupati P, Mononen, Nina, Nikus, Kjell, Caulfield, Mark J, Dominiczak, Anna, Padmanabhan, Sandosh, Montasser, May E, O'Connell, Jeff R, Ryan, Kathleen, Shuldiner, Alan R, Aeschbacher, Stefanie, Conen, David, Risch, Lorenz, Thériault, Sébastien, Hutri-Kähönen, Nina, Lehtimäki, Terho, Lyytikäinen, Leo-Pekka, Raitakari, Olli T, Barnes, Catriona LK, Campbell, Harry, Joshi, Peter K, Wilson, James F, Isaacs, Aaron, Kors, Jan A, van Duijn, Cornelia M, Huang, Paul L, Gudnason, Vilmundur, Harris, Tamara B, Launer, Lenore J, Smith, Albert V, Bottinger, Erwin P, Loos, Ruth JF, Nadkarni, Girish N, Preuss, Michael H, Correa, Adolfo, Mei, Hao, Wilson, James, Meitinger, Thomas, Müller-Nurasyid, Martina, Peters, Annette, Waldenberger, Melanie, Mangino, Massimo, Spector, Timothy D, Rienstra, Michiel, van de Vegte, Yordi J, van der Harst, Pim, Verweij, Niek, Kääb, Stefan, Schramm, Katharina, Sinner, Moritz F, Strauch, Konstantin, Cutler, Michael J, Fatkin, Diane, London, Barry, Olesen, Morten, and Roden, Dan M
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Male ,Multifactorial Inheritance ,Endophenotypes ,Human Genome ,Quantitative Trait Loci ,Gene Expression ,Genetic Variation ,Arrhythmias ,Cardiovascular ,Electrocardiography ,Heart Disease ,Good Health and Well Being ,Cardiovascular Diseases ,Genetic Loci ,Genetics ,2.1 Biological and endogenous factors ,Humans ,Genetic Predisposition to Disease ,Female ,Aetiology ,Cardiac ,Biotechnology ,Genome-Wide Association Study - Abstract
The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.
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- 2020
19. Flattening the curve in 52 days: characterization of the COVID-19 pandemic in the Principality of Liechtenstein
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Thiel, Sarah, Weber, Myriam, Risch, Lorenz, Wohlwend, Nadia, Lung, Thomas, Hillmann, Dorothea, Ritzler, Michael, Risch, Martin, Kohler, Philipp, Vernazza, Pietro, Kahlert, Christian R, Fleisch, Felix, Cusini, Alexia, Karajan, Tomas V, Copeland, Sandra, and Paprotny, Matthias
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- 2020
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20. Preoperative decolonization and periprosthetic joint infections-A randomized controlled trial with 2-year follow-up
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Rohrer, Felix, Wendt, Malte, Noetzli, Hubert, Risch, Lorenz, Bodmer, Thomas, Cottagnoud, Philippe, Hermann, Tanja, Limacher, Andreas, Gahl, Brigitta, and Bruegger, Jan
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Preoperative decolonization, especially of Staphylococcus aureus carriers, has been proposed to reduce periprosthetic joint infections (PJI), but the evidence-based consensus is still lacking and data on long-term outcomes is scarce. In a previous randomized, single-blinded trial, decolonization produced no significant reduction of surgical site infections in overall elective orthopedic surgery at 3-month follow-up. A 2-year follow-up was then performed to specifically detect the impact of decolonization on delayed-onset PJI (3-24 months after surgery). Between November 2015 and September 2017, 613 of 1318 recruited patients underwent prosthetic surgery. Individuals were allocated into either the S. aureus carrier group (34%, 207 of 613 patients) or the noncarrier group (406 of 613 patients), according to nasal swab screening results. Both groups were then randomized into intervention and control arms. In the S. aureus group, the intervention consisted of daily chlorhexidine showers and application of mupirocin nasal ointment twice a day for 5 days before surgery. In noncarriers, only chlorhexidine showers were prescribed. Sample size calculation was based on the initial trial for overall and not for the prosthetic surgery group. No PJI was found at 2 years in either the carrier or in the noncarrier group. Therefore, no definite conclusion about the efficacy of preoperative decolonization to reduce PJI can be drawn. PJI proportions in this study were lower than described in the literature (mostly around 0.3%). Despite the insufficient sample size, this trial is the largest randomized trial on decolonization with a long-term follow-up, and results may be helpful for future meta-analyses.
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- 2020
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21. Antibodies as biomarker candidates for response and survival to checkpoint inhibitors in melanoma patients
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Fässler, Mirjam, Diem, Stefan, Mangana, Joanna, Hasan Ali, Omar, Berner, Fiamma, Bomze, David, Ring, Sandra, Niederer, Rebekka, Del Carmen Gil Cruz, Cristina, Pérez Shibayama, Christian Ivan, Krolik, Michal, Siano, Marco, Joerger, Markus, Recher, Mike, Risch, Lorenz, Güsewell, Sabine, Risch, Martin, Speiser, Daniel E, Ludewig, Burkhard, Levesque, Mitchell P, Dummer, Reinhard, Flatz, Lukas, University of Zurich, and Flatz, Lukas
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Male ,Antibodies, Neoplasm ,610 Medicine & health ,Metastatic melanoma ,Antibodies, Monoclonal, Humanized ,lcsh:RC254-282 ,Antibodies ,TRP2 ,TRP1 ,Antineoplastic Agents, Immunological ,Humans ,NY-ESO-1 ,1306 Cancer Research ,Immune response ,Melanoma ,Aged ,Aged, 80 and over ,2403 Immunology ,10177 Dermatology Clinic ,Biomarker ,Middle Aged ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Ipilimumab ,3004 Pharmacology ,Nivolumab ,gp100 ,1313 Molecular Medicine ,Immunoglobulin G ,2723 Immunology and Allergy ,Melanocyte differentiation antigens ,MART1 ,2730 Oncology ,Antibodies, Monoclonal, Humanized/therapeutic use ,Antibodies, Neoplasm/blood ,Antineoplastic Agents, Immunological/therapeutic use ,Biomarkers ,Female ,Immunoglobulin G/blood ,Ipilimumab/therapeutic use ,Melanoma/blood ,Melanoma/drug therapy ,Melanoma/immunology ,Nivolumab/therapeutic use ,Cancer/testis antigens ,Checkpoint inhibitors ,Research Article - Abstract
Background Long-term survival of stage IV melanoma patients has improved significantly with the development of immune checkpoint inhibitors (CIs). Reliable biomarkers to predict response and clinical outcome are needed. Methods We investigated the role of melanoma-associated antibodies as predictive markers for CI therapy in two independent cohorts. In cohort 1, a prospective study, we measured specific antibodies before treatment, after one week and after six to nine weeks of treatment. Cohort 2 consisted of serum samples prior to CI therapy initiation. ELISA assays were performed to quantify specific IgG directed against melanocyte differentiation antigens tyrosinase-related proteins 1 and 2 (TRP1/TYRP1 and TRP2/TYRP2), glycoprotein 100 (gp100), MelanA/MART1, and the cancer-testis antigen NY-ESO-1. Response was defined as either complete or partial remission on CT scan according to RECIST 1.1. Results In cohort 1, baseline levels of these antibodies were higher in the responder group, although statistical significance was only reached for NY-ESO-1 (p = 0.007). In cohort 2, significantly higher antibody baseline levels for MelanA/MART1 (p = 0.003) and gp100 (p = 0.029) were found. After pooling the results from both cohorts, higher levels of MelanA/MART1 (p = 0.013), TRP1/TYRP1 (p = 0.048), TRP2/TYRP2 (p = 0.047) and NY-ESO-1 (p = 0.005) specific antibodies at baseline were independently associated with response. Conclusions Melanoma-associated antibodies may be candidate biomarkers for response and survival in metastatic melanoma patients being treated with CIs. These markers may be used to complement patient assessment, in combination with PD-L1 status, tumor-infiltrating lymphocytes and tumor mutational burden, with the aim to predict outcome of CI treatment in patients with metastatic melanoma. Trial registration Ethikkommission Ostschweiz, EKOS 16/079 https://ongoingprojects.swissethics.ch/runningProjects_list.php?q=%28BASECID~contains~2016-00998%29&orderby=dBASECID. Electronic supplementary material The online version of this article (10.1186/s40425-019-0523-2) contains supplementary material, which is available to authorized users.
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- 2019
22. Atrial fibrillation genetic risk differentiates cardioembolic stroke from other stroke subtypes
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Pulit, Sara L., Weng, Lu-Chen, McArdle, Patrick F, Trinquart, Ludovic, Choi, Seung Hoan, Mitchell, Braxton D., Rosand, Jonathan, de Bakker, Paul I W, Benjamin, Emelia J, Ellinor, Patrick T, Kittner, Steven J, Lubitz, Steven A, Anderson, Christopher D, Christophersen, Ingrid E., Rienstra, Michiel, Roselli, Carolina, Yin, Xiaoyan, Geelhoed, Bastiaan, Barnard, John, Lin, Honghuang, Arking, Dan E., Smith, Albert V., Albert, Christine M., Chaffin, Mark, Tucker, Nathan R., Li, Molong, Klarin, Derek, Bihlmeyer, Nathan A, Low, Siew-Kee, Weeke, Peter E., Müller-Nurasyid, Martina, Smith, J. Gustav, Brody, Jennifer A., Niemeijer, Maartje N., Dörr, Marcus, Trompet, Stella, Huffman, Jennifer, Gustafsson, Stefan, Schurmann, Claudia, Kleber, Marcus E., Lyytikäinen, Leo-Pekka, Seppälä, Ilkka, Malik, Rainer, Horimoto, Andrea R. V. R., Perez, Marco, Sinisalo, Juha, Aeschbacher, Stefanie, Thériault, Sébastien, Yao, Jie, Radmanesh, Farid, Weiss, Stefan, Teumer, Alexander, Clauss, Sebastian, Deo, Rajat, Rader, Daniel J., Shah, Svati, Siland, Joylene E., Kubo, Michiaki, Smith, Jonathan D., Van Wagoner, David R., Bis, Joshua C., Perz, Siegfried, Psaty, Bruce M., Ridker, Paul M., Magnani, Jared W., Harris, Tamara B., Launer, Lenore J., Shoemaker, M. Benjamin, Padmanabhan, Sandosh, Haessler, Jeffrey, Bartz, Traci M., Waldenberger, Melanie, Lichtner, Peter, Arendt, Marina, Krieger, Jose E., Kähönen, Mika, Risch, Lorenz, Mansur, Alfredo J., Peters, Annette, Smith, Blair H., Lind, Lars, Scott, Stuart A., Lu, Yingchang, Bottinger, Erwin B., Hernesniemi, Jussi, Lindgren, Cecilia M., Wong, Jorge A, Huang, Jie, Eskola, Markku, Morris, Andrew P., Ford, Ian, Reiner, Alex P., Delgado, Graciela, Chen, Lin Y., Chen, Yii-Der Ida, Sandhu, Roopinder K., Li, Man, Boerwinkle, Eric, Eisele, Lewin, Lannfelt, Lars, Rost, Natalia, Orho-Melander, arju, Hamsten, Anders, Heeringa, Jan, Denny, Joshua C., Kriebel, Jennifer, Darbar, Dawood, Newton-Cheh, Christopher, Shaffer, Christian, Macfarlane, Peter W., Heilmann, Stefanie, Almgren, Peter, Huang, Paul L., Sotoodehnia, Nona, Soliman, Elsayed Z., Uitterlinden, Andre G., Hofman, Albert, Franco, Oscar H., Völker, Uwe, Jöckel, Karl-Heinz, Sinner, Moritz F., Lin, Henry J., Guo, Xiuqing, Dichgans, Martin, Ingelsson, Erik, Kooperberg, Charles, Melander, Olle, Loos, Ruth J. F., Laurikka, Jari, Conen, David, Harst, Pim van der, Lokki, Marja-Liisa, Kathiresan, Sekar, Pereira, Alexandre, Jukema, J. Wouter, Hayward, Caroline, Rotter, Jerome I., März, Winfried, Lehtimäki, Terho, Stricker, Bruno H., Chung, Mina K., Felix, Stephan B., Gudnason, Vilmundur, Alonso, Alvaro, Roden, Dan M., Sun, Albert, Anderson, Christopher D., Kääb, Stefan, Hopewell, Jemma C., Debette, Stephanie, Chauhan, Ganesh, Yang, Qiong, Worrall, Bradford B., Paré, Guillaume, Kamatani, Yoichiro, Hagemeijer, Yanick P., Verweij, Niek, Taylor, Kent D., Campbell, Archie, Magnusson, Patrik K., Porteous, David, Hocking, Lynne J., Vlachopoulou, Efthymia, Pedersen, Nancy L., Nikus, Kjell, Chasman, Daniel I., Heckbert, Susan R., Benjamin, Emelia J., Tanaka, Toshihiro, Lunetta, Kathryn L., Lubitz, Steven A., Ellinor, Patrick T., Smoller, Sylvia, Sorkin, John, Wang, Xingwu, Selim, Magdy, Pikula, Aleksandra, Wolf, Philip, Seshadri, Sudha, Bakker, Paul de, Chasman, Daniel, Rexrode, Kathryn, Chen, Ida, Rotter, Jerome, Luke, May, Sale, Michelle, Lee, Tsong-Hai, Chang, Ku-Chou, Elkind, Mitchell, Goldstein, Larry, James, Michael Luke, Breteler, Monique, O’Donnell, Chris, Leys, Didier, Carty, Cara, Kidwell, Chelsea, Olesen, Jes, Sharma, Pankaj, Rich, Stephen, Tatlisumak, Turgot, Happola, Olli, Bijlenga, Philippe, Soriano, Carolina, Giralt, Eva, Roquer, Jaume, Jimenez-Conde, Jordi, Cotlarcius, Ioana, Hardy, John, Korostynski, Michal, Boncoraglio, Giorgio, Ballabio, Elena, Parati, Eugenio, Mateusz, Adamski, Urbanik, Andrzej, Dziedzic, Tomasz, Jagiella, Jeremiasz, Gasowski, Jerzy, Wnuk, Marcin, Olszanecki, Rafael, Pera, Joanna, Slowik, Agnieszka, Juchniewicz, Karol Jozef, Levi, Christopher, Nyquist, Paul, Cendes, Iscia, Cabral, Norberto, Franca, Paulo, Goncalves, Anderson, Keller, Lina, Crisby, Milita, Kostulas, Konstantinos, Lemmens, Robin, Ahmadi, Kourosh, Opherk, Christian, Duering, Marco, Gonik, Mariya, Staals, Julie, Burri, Philippe, Sadr-Nabavi, Ariane, Romero, Javier, Biffi, Alessandro, Anderson, Chris, Falcone, Guido, Brouwers, Bart, Du, Rose, Kourkoulis, Christina, Battey, Thomas, Lubitz, Steven, Mueller-Myhsok, Bertram, Meschia, James, Brott, Thomas, Pare, Guillaume, Pichler, Alexander, Enzinger, Christian, Schmidt, Helena, Schmidt, Reinhold, Seiler, Stephan, Blanton, Susan, Yamada, Yoshiji, Bersano, Anna, Rundek, Tatjana, Sacco, Ralph, Chan, Yu-Feng Yvonne, Gschwendtner, Andreas, Deng, Zhen, Barr, Taura, Gwinn, Katrina, Corriveau, Roderick, Singleton, Andrew, Waddy, Salina, Launer, Lenore, Chen, Christopher, Le, Kim En, Lee, Wei Ling, Tan, Eng King, Olugbodi, Akintomi, Rothwell, Peter, Schilling, Sabrina, Mok, Vincent, Lebedeva, Elena, Jern, Christina, Jood, Katarina, Olsson, Sandra, Kim, Helen, Lee, Chaeyoung, Kilarski, Laura, Markus, Hugh, Peycke, Jennifer, Bevan, Steve, Sheu, Wayne, Chiou, Hung Yi, Chern, Joseph, Giraldo, Elias, Taqi, Muhammad, Jain, Vivek, Lam, Olivia, Howard, George, Woo, Daniel, Kittner, Steven, Mitchell, Braxton, Cole, John, O’Connell, Jeff, Milewicz, Dianna, Illoh, Kachikwu, Worrall, Bradford, Stine, Colin, Karaszewski, Bartosz, Werring, David, Sofat, Reecha, Smalley, June, Lindgren, Arne, Hansen, Bjorn, Norrving, Bo, Smith, Gustav, Martin, Juan Jose, Thijs, Vincent, Klijn, Karin, van’t Hof, Femke, Algra, Ale, Macleod, Mary, Perry, Rodney, Arnett, Donna, Pezzini, Alessandro, Padovani, Alessandro, Cramer, Steve, Fisher, Mark, Saleheen, Danish, Broderick, Joseph, Kissela, Brett, Doney, Alex, Cathie, Sudlow, Rannikmae, Kristiina, Silliman, Scott, McDonough, Caitrin, Walters, Matthew, Pedersen, Annie, Nakagawa, Kazuma, Chang, Christy, Dobbins, Mark, McArdle, Patrick, Chang, Yu-Ching, Brown, Robert, Brown, Devin, Holliday, Elizabeth, Kalaria, Raj, Maguire, Jane, John, Attia, Farrall, Martin, Giese, Anne-Katrin, Fornage, Myriam, Majersik, Jennifer, Cushman, Mary, Keene, Keith, Bennett, Siiri, Tirschwell, David, Psaty, Bruce, Reiner, Alex, Longstreth, Will, Spence, David, Montaner, Joan, Fernandez-Cadenas, Israel, Langefeld, Carl, Bushnell, Cheryl, Heitsch, Laura, Lee, Jin-Moo, Sheth, Kevin, Cardiovascular Centre (CVC), Department of Medicine, Clinicum, Transplantation Laboratory, Medicum, Neurologian yksikkö, Department of Neurosciences, University of Helsinki, Doctoral Programme in Clinical Research, HUS Neurocenter, Epidemiology, Internal Medicine, Klinische Neurowetenschappen, RS: CARIM - R3.03 - Cerebral small vessel disease, and MUMC+: MA Med Staf Spec Neurologie (9)
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Medizin ,030204 cardiovascular system & hematology ,VARIANTS ,3124 Neurology and psychiatry ,0302 clinical medicine ,Epidemiology ,Genotype ,EPIDEMIOLOGY ,Stroke ,Genetics (clinical) ,0303 health sciences ,Aspirin ,Atrial fibrillation ,ASSOCIATION ,3. Good health ,LIFETIME RISK ,ISCHEMIC-STROKE ,Cardiology ,Biomarker (medicine) ,Medical genetics ,BURDEN ,Medical Genetics ,Life Sciences & Biomedicine ,medicine.drug ,medicine.medical_specialty ,Clinical Neurology ,Single-nucleotide polymorphism ,Article ,03 medical and health sciences ,Internal medicine ,Genetic predisposition ,medicine ,SNP ,cardiovascular diseases ,Genotyping ,030304 developmental biology ,Genetic association ,Medicinsk genetik ,Science & Technology ,business.industry ,3112 Neurosciences ,Heritability ,medicine.disease ,PREVENTION ,ASPIRIN ,Neurology (clinical) ,Neurosciences & Neurology ,business ,030217 neurology & neurosurgery ,CAUSATIVE CLASSIFICATION - Abstract
ObjectiveWe sought to assess whether genetic risk factors for atrial fibrillation (AF) can explain cardioembolic stroke risk.MethodsWe evaluated genetic correlations between a previous genetic study of AF and AF in the presence of cardioembolic stroke using genome-wide genotypes from the Stroke Genetics Network (N = 3,190 AF cases, 3,000 cardioembolic stroke cases, and 28,026 referents). We tested whether a previously validated AF polygenic risk score (PRS) associated with cardioembolic and other stroke subtypes after accounting for AF clinical risk factors.ResultsWe observed a strong correlation between previously reported genetic risk for AF, AF in the presence of stroke, and cardioembolic stroke (Pearson r = 0.77 and 0.76, respectively, across SNPs with p < 4.4 × 10−4 in the previous AF meta-analysis). An AF PRS, adjusted for clinical AF risk factors, was associated with cardioembolic stroke (odds ratio [OR] per SD = 1.40, p = 1.45 × 10−48), explaining ∼20% of the heritable component of cardioembolic stroke risk. The AF PRS was also associated with stroke of undetermined cause (OR per SD = 1.07, p = 0.004), but no other primary stroke subtypes (all p > 0.1).ConclusionsGenetic risk of AF is associated with cardioembolic stroke, independent of clinical risk factors. Studies are warranted to determine whether AF genetic risk can serve as a biomarker for strokes caused by AF.
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- 2018
23. Whole blood omega-3 fatty acid concentrations are inversely associated with blood pressure in young, healthy adults
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Filipovic, Mark G, Aeschbacher, Stefanie, Reiner, Martin F, Stivala, Simona, Gobbato, Sara, Bonetti, Nicole, Risch, Martin, Risch, Lorenz, Camici, Giovanni G, Luescher, Thomas F, von Schacky, Clemens, Conen, David, Beer, Juerg H, University of Zurich, and Beer, Juerg H
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11459 Center for Molecular Cardiology ,2724 Internal Medicine ,610 Medicine & health ,1314 Physiology ,2705 Cardiology and Cardiovascular Medicine - Published
- 2018
24. Relationships of kidney injury molecule-1 with renal function and cardiovascular risk factors in the general population
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Egli, Peter, Aeschbacher, Stefanie, Bossard, Matthias, Eggimann, Lucien, Blum, Steffen, Meyre, Pascal, Bargetzi, Laura, Estis, Joel, Todd, John, Risch, Martin, Risch, Lorenz, and Conen, David
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610 Medicine & health - Abstract
BACKGROUND Kidney injury molecule-1 (KIM-1) has been associated with kidney damage in patients with preexisting renal disease. However, little is known about the relationships of KIM-1 with renal function and cardiovascular risk factors in healthy individuals from the general population. METHODS Healthy individuals aged 25-41years were enrolled in a population-based study. Main exclusion criteria were a BMI >35kg/m, preexisting kidney disease or established cardiovascular disease. KIM-1 was measured from frozen plasma samples using a high-sensitivity assay. Multivariable linear regression models were constructed to assess the relationships of KIM-1 with renal function and various cardiovascular risk factors. RESULTS We included 2060 individuals (47% men, median (interquartile range) age: 37 (31-40) years) in this analysis. Median KIM-1 levels were 82.5 (IQR 59.4-112.7) pg/ml. We found no significant relationship of KIM-1 with creatinine (adjusted β-coefficient (95% confidence interval) 0.0005 (-0.002; 0.003), p=0.61) and cystatin C (-0.02 (-0.21; 0.17), p=0.84). There were significant linear relationships of log-transformed KIM-1 with systolic blood pressure (adjusted β-coefficient (95% confidence interval) 0.07 (0.04; 0.09), p
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- 2018
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25. Erratum: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation
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Christophersen, Ingrid E, Rienstra, Michiel, Roselli, Carolina, Yin, Xiaoyan, Geelhoed, Bastiaan, Barnard, John, Lin, Honghuang, Arking, Dan E, Smith, Albert V, Albert, Christine M, Chaffin, Mark, Tucker, Nathan R, Li, Molong, Klarin, Derek, Bihlmeyer, Nathan A, Low, Siew-Kee, Weeke, Peter E, Müller-Nurasyid, Martina, Smith, J Gustav, Brody, Jennifer A, Niemeijer, Maartje N, Dörr, Marcus, Trompet, Stella, Huffman, Jennifer, Gustafsson, Stefan, Schurmann, Claudia, Kleber, Marcus E, Lyytikäinen, Leo-Pekka, Seppälä, Ilkka, Malik, Rainer, R V R Horimoto, Andrea, Perez, Marco, Sinisalo, Juha, Aeschbacher, Stefanie, Thériault, Sébastien, Yao, Jie, Radmanesh, Farid, Weiss, Stefan, Teumer, Alexander, Choi, Seung Hoan, Weng, Lu-Chen, Clauss, Sebastian, Deo, Rajat, Rader, Daniel J, Shah, Svati H, Sun, Albert, Hopewell, Jemma C, Debette, Stephanie, Chauhan, Ganesh, Yang, Qiong, Worrall, Bradford B, Paré, Guillaume, Kamatani, Yoichiro, Hagemeijer, Yanick P, Verweij, Niek, Siland, Joylene E, Kubo, Michiaki, Smith, Jonathan D, Van Wagoner, David R, Bis, Joshua C, Perz, Siegfried, Psaty, Bruce M, Ridker, Paul M, Magnani, Jared W, Harris, Tamara B, Launer, Lenore J, Shoemaker, M Benjamin, Padmanabhan, Sandosh, Haessler, Jeffrey, Bartz, Traci M, Waldenberger, Melanie, Lichtner, Peter, Arendt, Marina, Krieger, Jose E, Kähönen, Mika, Risch, Lorenz, Mansur, Alfredo J, Peters, Annette, Smith, Blair H, Lind, Lars, Scott, Stuart A, Lu, Yingchang, Bottinger, Erwin B, Hernesniemi, Jussi, Lindgren, Cecilia M, Wong, Jorge A, Huang, Jie, Eskola, Markku, Morris, Andrew P, Ford, Ian, Reiner, Alex P, Delgado, Graciela, Chen, Lin Y, Chen, Yii-Der Ida, Sandhu, Roopinder K, Li, Man, Boerwinkle, Eric, Eisele, Lewin, Lannfelt, Lars, Rost, Natalia, Anderson, Christopher D, Taylor, Kent D, Campbell, Archie, Magnusson, Patrik K, Porteous, David, Hocking, Lynne J, Vlachopoulou, Efthymia, Pedersen, Nancy L, Nikus, Kjell, Orho-Melander, Marju, Hamsten, Anders, Heeringa, Jan, Denny, Joshua C, Kriebel, Jennifer, Darbar, Dawood, Newton-Cheh, Christopher, Shaffer, Christian, Macfarlane, Peter W, Heilmann-Heimbach, Stefanie, Almgren, Peter, Huang, Paul L, Sotoodehnia, Nona, Soliman, Elsayed Z, Uitterlinden, Andre G, Hofman, Albert, Franco, Oscar H, Völker, Uwe, Jöckel, Karl-Heinz, Sinner, Moritz F, Lin, Henry J, Guo, Xiuqing, METASTROKE Consortium of the ISGC, Neurology Working Group of the CHARGE Consortium, Dichgans, Martin, Ingelsson, Erik, Kooperberg, Charles, Melander, Olle, J F Loos, Ruth, Laurikka, Jari, Conen, David, Rosand, Jonathan, van der Harst, Pim, Lokki, Marja-Liisa, Kathiresan, Sekar, Pereira, Alexandre, Jukema, J Wouter, Hayward, Caroline, Rotter, Jerome I, März, Winfried, Lehtimäki, Terho, Stricker, Bruno H, Chung, Mina K, Felix, Stephan B, Gudnason, Vilmundur, Alonso, Alvaro, Roden, Dan M, Kääb, Stefan, Chasman, Daniel I, Heckbert, Susan R, Benjamin, Emelia J, Tanaka, Toshihiro, Lunetta, Kathryn L, Lubitz, Steven A, Ellinor, Patrick T, and AFGen Consortium
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Genetics ,Journal Article ,Medizin ,Article - Abstract
Atrial fibrillation affects more than 33 million people worldwide and increases the risk of stroke, heart failure, and death.1,2 Fourteen genetic loci have been associated with atrial fibrillation in European and Asian ancestry groups.3–7 To further define the genetic basis of atrial fibrillation, we performed large-scale, multi-racial meta-analyses of common and rare variant association studies. The genome-wide association studies (GWAS) included 18,398 individuals with atrial fibrillation and 91,536 referents; the exome-wide association studies (ExWAS) and rare variant association studies (RVAS) involved 22,806 cases and 132,612 referents. We identified 12 novel genetic loci that exceeded genome-wide significance, implicating genes involved in cardiac electrical and structural remodeling. Our results nearly double the number of known genetic loci for atrial fibrillation, provide insights into the molecular basis of atrial fibrillation, and may facilitate new potential targets for drug discovery.8
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- 2017
26. Healthy lifestyle and glucagon-like peptide-1 in young and healthy adults: A population-based study
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Krisai, Philipp, Aeschbacher, Stefanie, Ruperti Repilado, Francisco Javier, Schoen, Tobias, Reusser, Andreas, Meier, Manuel, Todd, John, Estis, Joel, Risch, Martin, Risch, Lorenz, and Conen, David
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610 Medicine & health - Abstract
A healthy lifestyle is associated with a lower risk of cardiovascular events and mortality, but underlying mechanisms are not fully understood. The aim of our study was to investigate the relationships between a healthy lifestyle and glucagon-like peptide-1 (GLP-1), an incretin hormone with both glycemic and cardiovascular properties. Healthy participants aged 25-41years without cardiovascular disease, diabetes or a body mass index (BMI) >35kg/mwere enrolled in a population-based study. The following metrics were used to build a lifestyle score ranging from 0 to 7 (a higher score indicating a healthier lifestyle): blood pressure (BP) (
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- 2017
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27. Inflammation Thread Runs across Medical Laboratory Specialities
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Nydegger, Urs, Lung, Thomas, Risch, Lorenz, Risch, Martin, Medina Escobar, Pedro, and Bodmer, Thomas
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Article Subject - Abstract
We work on the assumption that four major specialities or sectors of medical laboratory assays, comprising clinical chemistry, haematology, immunology, and microbiology, embraced by genome sequencing techniques, are routinely in use. Medical laboratory markers for inflammation serve as model: they are allotted to most fields of medical lab assays including genomics. Incessant coding of assays aligns each of them in the long lists of big data. As exemplified with the complement gene family, containing C2, C3, C8A, C8B, CFH, CFI, and ITGB2, heritability patterns/risk factors associated with diseases with genetic glitch of complement components are unfolding. The C4 component serum levels depend on sufficient vitamin D whilst low vitamin D is inversely related to IgG1, IgA, and C3 linking vitamin sufficiency to innate immunity. Whole genome sequencing of microbial organisms may distinguish virulent from nonvirulent and antibiotic resistant from nonresistant varieties of the same species and thus can be listed in personal big data banks including microbiological pathology; the big data warehouse continues to grow.
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- 2016
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28. Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation
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Christophersen, Ingrid E, Rienstra, Michiel, Roselli, Carolina, Yin, Xiaoyan, Geelhoed, Bastiaan, Barnard, John, Lin, Honghuang, Arking, Dan E, Smith, Albert V, Albert, Christine M, Chaffin, Mark, Tucker, Nathan R, Li, Molong, Klarin, Derek, Bihlmeyer, Nathan A, Low, Siew-Kee, Weeke, Peter E, Müller-Nurasyid, Martina, Smith, J Gustav, Brody, Jennifer A, Niemeijer, Maartje N, Dörr, Marcus, Trompet, Stella, Huffman, Jennifer, Gustafsson, Stefan, Schurmann, Claudia, Kleber, Marcus E, Lyytikäinen, Leo-Pekka, Seppälä, Ilkka, Malik, Rainer, Horimoto, Andrea R V R, Perez, Marco, Sinisalo, Juha, Aeschbacher, Stefanie, Thériault, Sébastien, Yao, Jie, Radmanesh, Farid, Weiss, Stefan, Teumer, Alexander, Choi, Seung Hoan, Weng, Lu-Chen, Clauss, Sebastian, Deo, Rajat, Rader, Daniel J, Shah, Svati H, Sun, Albert, Hopewell, Jemma C, Debette, Stephanie, Chauhan, Ganesh, Yang, Qiong, Worrall, Bradford B, Paré, Guillaume, Kamatani, Yoichiro, Hagemeijer, Yanick P, Verweij, Niek, Siland, Joylene E, Kubo, Michiaki, Smith, Jonathan D, Van Wagoner, David R, Bis, Joshua C, Perz, Siegfried, Psaty, Bruce M, Ridker, Paul M, Magnani, Jared W, Harris, Tamara B, Launer, Lenore J, Shoemaker, M Benjamin, Padmanabhan, Sandosh, Haessler, Jeffrey, Bartz, Traci M, Waldenberger, Melanie, Lichtner, Peter, Arendt, Marina, Krieger, Jose E, Kähönen, Mika, Risch, Lorenz, Mansur, Alfredo J, Peters, Annette, Smith, Blair H, Lind, Lars, Scott, Stuart A, Lu, Yingchang, Bottinger, Erwin B, Hernesniemi, Jussi, Lindgren, Cecilia M, Wong, Jorge A, Huang, Jie, Eskola, Markku, Morris, Andrew P, Ford, Ian, Reiner, Alex P, Delgado, Graciela, Chen, Lin Y, Chen, Yii-Der Ida, Sandhu, Roopinder K, Li, Man, Boerwinkle, Eric, Eisele, Lewin, Lannfelt, Lars, Rost, Natalia, Anderson, Christopher D, Taylor, Kent D, Campbell, Archie, Magnusson, Patrik K, Porteous, David, Hocking, Lynne J, Vlachopoulou, Efthymia, Pedersen, Nancy L, Nikus, Kjell, Orho-Melander, Marju, Hamsten, Anders, Heeringa, Jan, Denny, Joshua C, Kriebel, Jennifer, Darbar, Dawood, Newton-Cheh, Christopher, Shaffer, Christian, Macfarlane, Peter W, Heilmann-Heimbach, Stefanie, Almgren, Peter, Huang, Paul L, Sotoodehnia, Nona, Soliman, Elsayed Z, Uitterlinden, Andre G, Hofman, Albert, Franco, Oscar H, Völker, Uwe, Jöckel, Karl-Heinz, Sinner, Moritz F, Lin, Henry J, Guo, Xiuqing, Dichgans, Martin, Ingelsson, Erik, Kooperberg, Charles, Melander, Olle, Loos, Ruth J F, Laurikka, Jari, Conen, David, Rosand, Jonathan, Van Der Harst, Pim, Lokki, Marja-Liisa, Kathiresan, Sekar, Pereira, Alexandre, Jukema, J Wouter, Hayward, Caroline, Rotter, Jerome I, März, Winfried, Lehtimäki, Terho, Stricker, Bruno H, Chung, Mina K, Felix, Stephan B, Gudnason, Vilmundur, Alonso, Alvaro, Roden, Dan M, Kääb, Stefan, Chasman, Daniel I, Heckbert, Susan R, Benjamin, Emelia J, Tanaka, Toshihiro, Lunetta, Kathryn L, Lubitz, Steven A, and Ellinor, Patrick T
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610 Medicine & health ,3. Good health - Abstract
Atrial fibrillation affects more than 33 million people worldwide and increases the risk of stroke, heart failure, and death. Fourteen genetic loci have been associated with atrial fibrillation in European and Asian ancestry groups. To further define the genetic basis of atrial fibrillation, we performed large-scale, trans-ancestry meta-analyses of common and rare variant association studies. The genome-wide association studies (GWAS) included 17,931 individuals with atrial fibrillation and 115,142 referents; the exome-wide association studies (ExWAS) and rare variant association studies (RVAS) involved 22,346 cases and 132,086 referents. We identified 12 new genetic loci that exceeded genome-wide significance, implicating genes involved in cardiac electrical and structural remodeling. Our results nearly double the number of known genetic loci for atrial fibrillation, provide insights into the molecular basis of atrial fibrillation, and may facilitate the identification of new potential targets for drug discovery.
29. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
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Evangelou, Evangelos, Warren, Helen R, Mosen-Ansorena, David, Mifsud, Borbala, Pazoki, Raha, Gao, He, Ntritsos, Georgios, Dimou, Niki, Cabrera, Claudia P, Karaman, Ibrahim, Ng, Fu Liang, Evangelou, Marina, Witkowska, Katarzyna, Tzanis, Evan, Hellwege, Jacklyn N, Giri, Ayush, Velez Edwards, Digna R, Sun, Yan V, Cho, Kelly, Gaziano, J Michael, Wilson, Peter W F, Tsao, Philip S, Kovesdy, Csaba P, Esko, Tonu, Mägi, Reedik, Milani, Lili, Almgren, Peter, Boutin, Thibaud, Debette, Stéphanie, Ding, Jun, Giulianini, Franco, Holliday, Elizabeth G, Jackson, Anne U, Li-Gao, Ruifang, Lin, Wei-Yu, Luan, Jian'an, Mangino, Massimo, Oldmeadow, Christopher, Prins, Bram Peter, Qian, Yong, Sargurupremraj, Muralidharan, Shah, Nabi, Surendran, Praveen, Thériault, Sébastien, Verweij, Niek, Willems, Sara M, Zhao, Jing-Hua, Amouyel, Philippe, Connell, John, De Mutsert, Renée, Doney, Alex S F, Farrall, Martin, Menni, Cristina, Morris, Andrew D, Noordam, Raymond, Paré, Guillaume, Poulter, Neil R, Shields, Denis C, Stanton, Alice, Thom, Simon, Abecasis, Gonçalo, Amin, Najaf, Arking, Dan E, Ayers, Kristin L, Barbieri, Caterina M, Batini, Chiara, Bis, Joshua C, Blake, Tineka, Bochud, Murielle, Boehnke, Michael, Boerwinkle, Eric, Boomsma, Dorret I, Bottinger, Erwin P, Braund, Peter S, Brumat, Marco, Campbell, Archie, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chauhan, Ganesh, Ciullo, Marina, Cocca, Massimiliano, Collins, Francis, Cordell, Heather J, Davies, Gail, De Borst, Martin H, De Geus, Eco J, Deary, Ian J, Deelen, Joris, Del Greco M, Fabiola, Demirkale, Cumhur Yusuf, Dörr, Marcus, Ehret, Georg B, Elosua, Roberto, Enroth, Stefan, Erzurumluoglu, A Mesut, Ferreira, Teresa, Frånberg, Mattias, Franco, Oscar H, Gandin, Ilaria, Gasparini, Paolo, Giedraitis, Vilmantas, Gieger, Christian, Girotto, Giorgia, Goel, Anuj, Gow, Alan J, Gudnason, Vilmundur, Guo, Xiuqing, Gyllensten, Ulf, Hamsten, Anders, Harris, Tamara B, Harris, Sarah E, Hartman, Catharina A, Havulinna, Aki S, Hicks, Andrew A, Hofer, Edith, Hofman, Albert, Hottenga, Jouke-Jan, Huffman, Jennifer E, Hwang, Shih-Jen, Ingelsson, Erik, James, Alan, Jansen, Rick, Jarvelin, Marjo-Riitta, Joehanes, Roby, Johansson, Åsa, Johnson, Andrew D, Joshi, Peter K, Jousilahti, Pekka, Jukema, J Wouter, Jula, Antti, Kähönen, Mika, Kathiresan, Sekar, Keavney, Bernard D, Khaw, Kay-Tee, Knekt, Paul, Knight, Joanne, Kolcic, Ivana, Kooner, Jaspal S, Koskinen, Seppo, Kristiansson, Kati, Kutalik, Zoltan, Laan, Maris, Larson, Marty, Launer, Lenore J, Lehne, Benjamin, Lehtimäki, Terho, Liewald, David C M, Lin, Li, Lind, Lars, Lindgren, Cecilia M, Liu, YongMei, Loos, Ruth J F, Lopez, Lorna M, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamasoula, Chrysovalanto, Marrugat, Jaume, Marten, Jonathan, Milaneschi, Yuri, Morgan, Anna, Morris, Andrew P, Morrison, Alanna C, Munson, Peter J, Nalls, Mike A, Nandakumar, Priyanka, Nelson, Christopher P, Niiranen, Teemu, Nolte, Ilja M, Nutile, Teresa, Oldehinkel, Albertine J, Oostra, Ben A, O'Reilly, Paul F, Org, Elin, Padmanabhan, Sandosh, Palmas, Walter, Palotie, Aarno, Pattie, Alison, Penninx, Brenda W J H, Perola, Markus, Peters, Annette, Polasek, Ozren, Pramstaller, Peter P, Nguyen, Quang Tri, Raitakari, Olli T, Ren, Meixia, Rettig, Rainer, Rice, Kenneth, Ridker, Paul M, Ried, Janina S, Riese, Harriëtte, Ripatti, Samuli, Robino, Antonietta, Rose, Lynda M, Rotter, Jerome I, Rudan, Igor, Ruggiero, Daniela, Saba, Yasaman, Sala, Cinzia F, Salomaa, Veikko, Samani, Nilesh J, Sarin, Antti-Pekka, Schmidt, Reinhold, Schmidt, Helena, Shrine, Nick, Siscovick, David, Smith, Albert V, Snieder, Harold, Sõber, Siim, Sorice, Rossella, Starr, John M, Stott, David J, Strachan, David P, Strawbridge, Rona J, Sundström, Johan, Swertz, Morris A, Taylor, Kent D, Teumer, Alexander, Tobin, Martin D, Tomaszewski, Maciej, Toniolo, Daniela, Traglia, Michela, Trompet, Stella, Tuomilehto, Jaakko, Tzourio, Christophe, Uitterlinden, André G, Vaez, Ahmad, Van Der Most, Peter J, Van Duijn, Cornelia M, Vergnaud, Anne-Claire, Verwoert, Germaine C, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Vuckovic, Dragana, Watkins, Hugh, Wild, Sarah H, Willemsen, Gonneke, Wilson, James F, Wright, Alan F, Yao, Jie, Zemunik, Tatijana, Zhang, Weihua, Attia, John R, Butterworth, Adam S, Chasman, Daniel I, Conen, David, Cucca, Francesco, Danesh, John, Hayward, Caroline, Howson, Joanna M M, Laakso, Markku, Lakatta, Edward G, Langenberg, Claudia, Melander, Olle, Mook-Kanamori, Dennis O, Palmer, Colin N A, Risch, Lorenz, Scott, Robert A, Scott, Rodney J, Sever, Peter, Spector, Tim D, Van Der Harst, Pim, Wareham, Nicholas J, Zeggini, Eleftheria, Levy, Daniel, Munroe, Patricia B, Newton-Cheh, Christopher, Brown, Morris J, Metspalu, Andres, Hung, Adriana M, O'Donnell, Christopher J, Edwards, Todd L, Psaty, Bruce M, Tzoulaki, Ioanna, Barnes, Michael R, Wain, Louise V, Elliott, Paul, and Caulfield, Mark J
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610 Medicine & health ,3. Good health - Abstract
High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.
30. Additional file 3 of Impact of baseline SARS-CoV-2 antibody status on syndromic surveillance and the risk of subsequent COVID-19—a prospective multicenter cohort study
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Kohler, Philipp, Güsewell, Sabine, Seneghini, Marco, Egger, Thomas, Leal, Onicio, Brucher, Angela, Lemmenmeier, Eva, Möller, J. Carsten, Rieder, Philip, Ruetti, Markus, Stocker, Reto, Vuichard-Gysin, Danielle, Wiggli, Benedikt, Besold, Ulrike, Kuster, Stefan P., McGeer, Allison, Risch, Lorenz, Friedl, Andrée, Schlegel, Matthias, Vernazza, Pietro, and Kahlert, Christian R.
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Data_FILES ,3. Good health - Abstract
Additional file 3.
31. Additional file 1: of Antibodies as biomarker candidates for response and survival to checkpoint inhibitors in melanoma patients
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FäSsler, Mirjam, Diem, Stefan, Mangana, Joanna, Ali, Omar Hasan, Berner, Fiamma, Bomze, David, Ring, Sandra, Niederer, Rebekka, Cruz, Cristina Del Carmen Gil, Shibayama, Christian PÊrez, Krolik, Michal, Siano, Marco, Joerger, Markus, Recher, Mike, Risch, Lorenz, Gßsewell, Sabine, Risch, Martin, Speiser, Daniel, Ludewig, Burkhard, Levesque, Mitchell, Dummer, Reinhard, and Flatz, Lukas
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3. Good health - Abstract
Table S1. ELISA setup. (DOCX 19 kb)
32. Subclinical sleep apnoea and plasma levels of endothelin-1 among young and healthy adults
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Schoen, Tobias, Aeschbacher, Stefanie, Leuppi, Joerg D, Miedinger, David, Werthmüller, Ursina, Estis, Joel, Todd, John, Risch, Martin, Risch, Lorenz, and Conen, David
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2. Zero hunger ,610 Medicine & health ,3. Good health - Abstract
OBJECTIVE Obstructive sleep apnoea (OSA) is a risk factor for vascular disease and other adverse outcomes. These associations may be at least partly due to early endothelin-1 (ET-1)-mediated endothelial dysfunction (ED). Therefore, we assessed the relationships between subclinical sleep apnoea and plasma levels of ET-1. METHODS We performed a population-based study among 1255 young and healthy adults aged 25-41 years. Cardiovascular disease, diabetes or a body mass index >35 kg/mwere exclusion criteria. Plasma levels of ET-1 were measured using a high-sensitivity, single-molecule counting technology. The relationships between subclinical sleep apnoea (OSA indices: respiratory event index (REI), oxygen desaturation index (ODI), mean night-time blood oxygen saturation (SpO)) and ET-1 levels were assessed by multivariable linear regression analysis. RESULTS Median age of the cohort was 35 years. Median ET-1 levels were 2.9 (IQR 2.4-3.6) and 2.5 pg/mL (IQR 2.1-3.0) among patients with (n=105; 8%) and without subclinical sleep apnoea (REI 5-14), respectively. After multivariable adjustment, subclinical sleep apnoea remained significantly associated with plasma levels of ET-1 (β=0.13 (95% CI 0.06 to 0.20) p=0.0002 for a REI 5-14; β=0.10 (95% CI 0.03 to 0.16) p=0.003 for an ODI≥5). Every 1% decrease in mean night-time SpOincreased ET-1 levels by 0.1 pg/mL, an association that remained significant after multivariable adjustment (β=0.02 (95% CI 0.003 to 0.033) p=0.02). CONCLUSIONS In this study of young and healthy adults, we found that participants with subclinical sleep apnoea had elevated plasma ET-1 levels, an association that was due to night-time hypoxaemia. Our results suggest that ED may already be an important consequence of subclinical sleep apnoea.
33. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction
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Ntalla, Ioanna, Weng, Lu-Chen, Cartwright, James H, Hall, Amelia Weber, Sveinbjornsson, Gardar, Tucker, Nathan R, Choi, Seung Hoan, Chaffin, Mark D, Roselli, Carolina, Barnes, Michael R, Mifsud, Borbala, Warren, Helen R, Hayward, Caroline, Marten, Jonathan, Cranley, James J, Concas, Maria Pina, Gasparini, Paolo, Boutin, Thibaud, Kolcic, Ivana, Polasek, Ozren, Rudan, Igor, Araujo, Nathalia M, Lima-Costa, Maria Fernanda, Ribeiro, Antonio Luiz P, Souza, Renan P, Tarazona-Santos, Eduardo, Giedraitis, Vilmantas, Ingelsson, Erik, Mahajan, Anubha, Morris, Andrew P, Del Greco M, Fabiola, Foco, Luisa, Gögele, Martin, Hicks, Andrew A, Cook, James P, Lind, Lars, Lindgren, Cecilia M, Sundström, Johan, Nelson, Christopher P, Riaz, Muhammad B, Samani, Nilesh J, Sinagra, Gianfranco, Ulivi, Sheila, Kähönen, Mika, Mishra, Pashupati P, Mononen, Nina, Nikus, Kjell, Caulfield, Mark J, Dominiczak, Anna, Padmanabhan, Sandosh, Montasser, May E, O'Connell, Jeff R, Ryan, Kathleen, Shuldiner, Alan R, Aeschbacher, Stefanie, Conen, David, Risch, Lorenz, Thériault, Sébastien, Hutri-Kähönen, Nina, Lehtimäki, Terho, Lyytikäinen, Leo-Pekka, Raitakari, Olli T, Barnes, Catriona LK, Campbell, Harry, Joshi, Peter K, Wilson, James F, Isaacs, Aaron, Kors, Jan A, Van Duijn, Cornelia M, Huang, Paul L, Gudnason, Vilmundur, Harris, Tamara B, Launer, Lenore J, Smith, Albert V, Bottinger, Erwin P, Loos, Ruth JF, Nadkarni, Girish N, Preuss, Michael H, Correa, Adolfo, Mei, Hao, Wilson, James, Meitinger, Thomas, Müller-Nurasyid, Martina, Peters, Annette, Waldenberger, Melanie, Mangino, Massimo, Spector, Timothy D, Rienstra, Michiel, Van De Vegte, Yordi J, Van Der Harst, Pim, Verweij, Niek, Kääb, Stefan, Schramm, Katharina, Sinner, Moritz F, Strauch, Konstantin, Cutler, Michael J, Fatkin, Diane, London, Barry, Olesen, Morten, Roden, Dan M, Benjamin Shoemaker, M, Gustav Smith, J, Biggs, Mary L, Bis, Joshua C, Brody, Jennifer A, Psaty, Bruce M, Rice, Kenneth, Sotoodehnia, Nona, De Grandi, Alessandro, Fuchsberger, Christian, Pattaro, Cristian, Pramstaller, Peter P, Ford, Ian, Wouter Jukema, J, Macfarlane, Peter W, Trompet, Stella, Dörr, Marcus, Felix, Stephan B, Völker, Uwe, Weiss, Stefan, Havulinna, Aki S, Jula, Antti, Sääksjärvi, Katri, Salomaa, Veikko, Guo, Xiuqing, Heckbert, Susan R, Lin, Henry J, Rotter, Jerome I, Taylor, Kent D, Yao, Jie, De Mutsert, Renée, Maan, Arie C, Mook-Kanamori, Dennis O, Noordam, Raymond, Cucca, Francesco, Ding, Jun, Lakatta, Edward G, Qian, Yong, Tarasov, Kirill V, Levy, Daniel, Lin, Honghuang, Newton-Cheh, Christopher H, Lunetta, Kathryn L, Murray, Alison D, Porteous, David J, Smith, Blair H, Stricker, Bruno H, Uitterlinden, André, Van Den Berg, Marten E, Haessler, Jeffrey, Jackson, Rebecca D, Kooperberg, Charles, Peters, Ulrike, Reiner, Alexander P, Whitsel, Eric A, Alonso, Alvaro, Arking, Dan E, Boerwinkle, Eric, Ehret, Georg B, Soliman, Elsayed Z, Avery, Christy L, Gogarten, Stephanie M, Kerr, Kathleen F, Laurie, Cathy C, Seyerle, Amanda A, Stilp, Adrienne, Assa, Solmaz, Abdullah Said, M, Yldau Van Der Ende, M, Lambiase, Pier D, Orini, Michele, Ramirez, Julia, Van Duijvenboden, Stefan, Arnar, David O, Gudbjartsson, Daniel F, Holm, Hilma, Sulem, Patrick, Thorleifsson, Gudmar, Thorolfsdottir, Rosa B, Thorsteinsdottir, Unnur, Benjamin, Emelia J, Tinker, Andrew, Stefansson, Kari, Ellinor, Patrick T, Jamshidi, Yalda, Lubitz, Steven A, and Munroe, Patricia B
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Male ,Multifactorial Inheritance ,Endophenotypes ,Quantitative Trait Loci ,Gene Expression ,Genetic Variation ,Arrhythmias, Cardiac ,3. Good health ,Electrocardiography ,Cardiovascular Diseases ,Genetic Loci ,Humans ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study - Abstract
The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.
34. Presence of autoantibodies in serum does not impact the occurrence of immune checkpoint inhibitor-induced hepatitis in a prospective cohort of cancer patients
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Purde, Mette���Triin, Niederer, Rebekka, Wagner, ikolaus B., Diem, Stefan, Berner, Fiamma, Hasan Ali, Omar, Hillmann, Dorothea, Bergamin, Irina, Joerger, Markus, Risch, Martin, Niederhauser, Christoph, Lenz, Tobias L., Fr��h, Martin, Risch, Lorenz, Semela, David, and Flatz, Lukas
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570 Life sciences ,biology ,610 Medicine & health ,3. Good health - Abstract
Purpose: Immune checkpoint inhibitor (ICI)-induced hepatitis belongs to the frequently occurring immune-related adverse events (irAEs), particularly with the combination therapy involving ipilimumab and nivolumab. However, predisposing factors predicting the occurrence of ICI-induced hepatitis are barely known. We investigated the association of preexisting autoantibodies in the development of ICI-induced hepatitis in a prospective cohort of cancer patients. Methods: Data from a prospective biomarker cohort comprising melanoma and non-small cell lung cancer (NSCLC) patients were used to analyze the incidence of ICI-induced hepatitis, putatively associated factors, and outcome. Results: 40 patients with melanoma and 91 patients with NSCLC received ICI between July 2016 and May 2019. 11 patients developed ICI-induced hepatitis (8.4%). Prior to treatment, 45.5% of patients in the hepatitis cohort and 43.8% of the control cohort showed elevated titers of autoantibodies commonly associated with autoimmune liver diseases (p = 0.82). We found two nominally significant associations between the occurrence of ICI-induced hepatitis and HLA alleles associated with autoimmune liver diseases among NSCLC patients. Of note, significantly more patients with ICI-induced hepatitis developed additional irAEs in other organs (p = 0.0001). Neither overall nor progression-free survival was affected in the hepatitis group. Conclusion: We found nominally significant associations of ICI-induced hepatitis with two HLA alleles. ICI-induced hepatitis showed no correlation with liver-specific autoantibodies, but frequently co-occurred with irAEs affecting other organs. Unlike other irAEs, ICI-induced hepatitis is not associated with a better prognosis.
35. Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation (vol 49, pg 946, 2017)
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Christophersen, Ingrid E., Rienstra, Michiel, Roselli, Carolina, Yin, Xiaoyan, Geelhoed, Bastiaan, Barnard, John, Lin, Honghuang, Arking, Dan E., Smith, Albert V., Albert, Christine M., Chaffin, Mark, Tucker, Nathan R., Li, Molong, Klarin, Derek, Bihlmeyer, Nathan A., Low, Siew-Kee, Weeke, Peter E., Muller-Nurasyid, Martina, Smith, J. Gustav, Brody, Jennifer A., Niemeijer, Maartje N., Dorr, Marcus, Trompet, Stella, Huffman, Jennifer, Gustafsson, Stefan, Schurmann, Claudia, Kleber, Marcus E., Lyytikainen, Leo-Pekka, Seppala, Ilkka, Malik, Rainer, Horimoto, Andrea R. V. R., Perez, Marco, Sinisalo, Juha, Aeschbacher, Stefanie, Theriault, Sebastien, Yao, Jie, Radmanesh, Farid, Weiss, Stefan, Teumer, Alexander, Choi, Seung Hoan, Weng, Lu-Chen, Clauss, Sebastian, Deo, Rajat, Rader, Daniel J., Shah, Svati H., Sun, Albert, Hopewell, Jemma C., Debette, Stephanie, Chauhan, Ganesh, Yang, Qiong, Worrall, Bradford B., Pare, Guillaume, Kamatani, Yoichiro, Hagemeijer, Yanick P., Verweij, Niek, Siland, Joylene E., Kubo, Michiaki, Smith, Jonathan D., Wagoner, David R., Bis, Joshua C., Perz, Siegfried, Psaty, Bruce M., Ridker, Paul M., Magnani, Jared W., Harris, Tamara B., Launer, Lenore J., Shoemaker, M. Benjamin, Padmanabhan, Sandosh, Haessler, Jeffrey, Bartz, Traci M., Waldenberger, Melanie, Lichtner, Peter, Arendt, Marina, Krieger, Jose E., Kahonen, Mika, Risch, Lorenz, Mansur, Alfredo J., Peters, Annette, Smith, Blair H., Lind, Lars, Scott, Stuart A., Lu, Yingchang, Bottinger, Erwin B., Hernesniemi, Jussi, Lindgren, Cecilia M., Wong, Jorge A., Huang, Jie, Eskola, Markku, Morris, Andrew P., Ford, Ian, Reiner, Alex P., Delgado, Graciela, Chen, Lin Y., Chen, Yii-Der Ida, Sandhu, Roopinder K., Li, Man, Boerwinkle, Eric, Eisele, Lewin, Lannfelt, Lars, Rost, Natalia, Anderson, Christopher D., Taylor, Kent D., Campbell, Archie, Magnusson, Patrik K., Porteous, David, Hocking, Lynne J., Vlachopoulou, Efthymia, Pedersen, Nancy L., Nikus, Kjell, Orho-Melander, Marju, Hamsten, Anders, Heeringa, Jan, Denny, Joshua C., Kriebel, Jennifer, Darbar, Dawood, Newton-Cheh, Christopher, Shaffer, Christian, Macfarlane, Peter W., Stefanie Heilmann-Heimbach, Almgren, Peter, Huang, Paul L., Sotoodehnia, Nona, Soliman, Elsayed Z., Uitterlinden, Andre G., Hofman, Albert, Franco, Oscar H., Volker, Uwe, Jockel, Karl-Heinz, Sinner, Moritz F., Lin, Henry J., Guo, Xiuqing, Dichgans, Martin, Ingelsson, Erik, Kooperberg, Charles, Melander, Olle, Loos, Ruth J. F., Laurikka, Jari, Conen, David, Rosand, Jonathan, Harst, Pim, Lokki, Marja-Liisa, Kathiresan, Sekar, Pereira, Alexandre, Jukema, J. Wouter, Hayward, Caroline, Rotter, Jerome I., Marz, Winfried, Lehtimaki, Terho, Stricker, Bruno H., Chung, Mina K., Felix, Stephan B., Gudnason, Vilmundur, Alonso, Alvaro, Roden, Dan M., Kaab, Stefan, Chasman, Daniel I., Heckbert, Susan R., Benjamin, Emelia J., Tanaka, Toshihiro, Lunetta, Kathryn L., Lubitz, Steven A., Ellinor, Patrick T., Metastroke Isgc, Consortium, Charge, Neurology Working Group Con, and AFGen Consortium
36. Additional file 3 of Impact of baseline SARS-CoV-2 antibody status on syndromic surveillance and the risk of subsequent COVID-19—a prospective multicenter cohort study
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Kohler, Philipp, Güsewell, Sabine, Seneghini, Marco, Egger, Thomas, Leal, Onicio, Brucher, Angela, Lemmenmeier, Eva, Möller, J. Carsten, Rieder, Philip, Ruetti, Markus, Stocker, Reto, Vuichard-Gysin, Danielle, Wiggli, Benedikt, Besold, Ulrike, Kuster, Stefan P., McGeer, Allison, Risch, Lorenz, Friedl, Andrée, Schlegel, Matthias, Vernazza, Pietro, and Kahlert, Christian R.
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Data_FILES ,3. Good health - Abstract
Additional file 3.
37. Additional file 2: of Antibodies as biomarker candidates for response and survival to checkpoint inhibitors in melanoma patients
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FäSsler, Mirjam, Diem, Stefan, Mangana, Joanna, Ali, Omar Hasan, Berner, Fiamma, Bomze, David, Ring, Sandra, Niederer, Rebekka, Cruz, Cristina Del Carmen Gil, Shibayama, Christian PÊrez, Krolik, Michal, Siano, Marco, Joerger, Markus, Recher, Mike, Risch, Lorenz, Gßsewell, Sabine, Risch, Martin, Speiser, Daniel, Ludewig, Burkhard, Levesque, Mitchell, Dummer, Reinhard, and Flatz, Lukas
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3. Good health - Abstract
Figure S1. Overall and progression free survival in cohort 1 and cohort 2. Figure S2. Progression free survival in cohort 1. Figure S3. Melanoma-associated antibodies in the NSCLC control cohort. Figure S4. Progression free survival in cohort 2. Figure S5. Total IgG before start with checkpoint inhibitor and total IgG kinetics. Figure S6. Anti-EBV antibody response during treatment with checkpoint inhibitor. Figure S7. gp100 and MelanA/MART1 specific antibodies and corresponding antigen expression in tumor tissue. Figure S8. IgG subclasses of melanoma-associated antibodies. (PDF 974 kb)
38. Additional file 2: of Antibodies as biomarker candidates for response and survival to checkpoint inhibitors in melanoma patients
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FäSsler, Mirjam, Diem, Stefan, Mangana, Joanna, Ali, Omar Hasan, Berner, Fiamma, Bomze, David, Ring, Sandra, Niederer, Rebekka, Cruz, Cristina Del Carmen Gil, Shibayama, Christian PÊrez, Krolik, Michal, Siano, Marco, Joerger, Markus, Recher, Mike, Risch, Lorenz, Gßsewell, Sabine, Risch, Martin, Speiser, Daniel, Ludewig, Burkhard, Levesque, Mitchell, Dummer, Reinhard, and Flatz, Lukas
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3. Good health - Abstract
Figure S1. Overall and progression free survival in cohort 1 and cohort 2. Figure S2. Progression free survival in cohort 1. Figure S3. Melanoma-associated antibodies in the NSCLC control cohort. Figure S4. Progression free survival in cohort 2. Figure S5. Total IgG before start with checkpoint inhibitor and total IgG kinetics. Figure S6. Anti-EBV antibody response during treatment with checkpoint inhibitor. Figure S7. gp100 and MelanA/MART1 specific antibodies and corresponding antigen expression in tumor tissue. Figure S8. IgG subclasses of melanoma-associated antibodies. (PDF 974 kb)
39. Additional file 1: of Antibodies as biomarker candidates for response and survival to checkpoint inhibitors in melanoma patients
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FäSsler, Mirjam, Diem, Stefan, Mangana, Joanna, Ali, Omar Hasan, Berner, Fiamma, Bomze, David, Ring, Sandra, Niederer, Rebekka, Cruz, Cristina Del Carmen Gil, Shibayama, Christian PÊrez, Krolik, Michal, Siano, Marco, Joerger, Markus, Recher, Mike, Risch, Lorenz, Gßsewell, Sabine, Risch, Martin, Speiser, Daniel, Ludewig, Burkhard, Levesque, Mitchell, Dummer, Reinhard, and Flatz, Lukas
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3. Good health - Abstract
Table S1. ELISA setup. (DOCX 19 kb)
40. Plasma levels of endothelin-1 and renal function among young and healthy adults
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Fischer, Andreas, Bossard, Matthias, Aeschbacher, Stefanie, Egli, Peter, Cordewener, Carolin, Estis, Joel, Todd, John, Risch, Martin, Risch, Lorenz, and Conen, David
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610 Medicine & health ,3. Good health - Abstract
BACKGROUND Endothelin-1 (ET-1), a vasoconstrictive and pro-inflammatory peptide, is associated with several cardiovascular risk factors and outcomes. We aimed to investigate the association of plasma ET-1 levels and renal function among young and healthy adults. METHODS Individuals aged 25-41 years were enrolled in a population-based cohort study. Main exclusion criteria were established kidney disease, cardiovascular diseases, diabetes mellitus and a body mass index>35 kg/m2. Fasting venous plasma samples were used to measure creatinine, cystatin C and ET-1. The estimated glomerular filtration rate (eGFR) was calculated using the creatinine based chronic kidney disease epidemiology collaboration (CKD-EPI) formula. Multivariable regression models were constructed to assess interrelationships of plasma ET-1 with parameters of renal function. RESULTS Median age of the 2139 participants was 37 years, 47% males. Median creatinine and eGFR were 67 μmol/L and 112 mL/min/1.73 m2, respectively. Using quartile one as the reference group, the β-coefficients (95% confidence intervals [CIs]) for eGFR were 0.06 (- 1.22 to 1.35),-0.66 (- 1.95 to 0.62) and-1.70 (- 3.01 to-0.39) for quartiles 2-4 (p-for-trend=0.0056), respectively and β-coefficients (95% CIs) for cystatin C were 0.002 (- 0.01 to 0.02), 0.02 (0.003-0.03) and 0.03 (0.01-0.04) for quartiles 2-4 (p-for-trend
41. Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease
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William J. Young, Jeffrey Haessler, Jan-Walter Benjamins, Linda Repetto, Jie Yao, Aaron Isaacs, Andrew R. Harper, Julia Ramirez, Sophie Garnier, Stefan van Duijvenboden, Antoine R. Baldassari, Maria Pina Concas, ThuyVy Duong, Luisa Foco, Jonas L. Isaksen, Hao Mei, Raymond Noordam, Casia Nursyifa, Anne Richmond, Meddly L. Santolalla, Colleen M. Sitlani, Negin Soroush, Sébastien Thériault, Stella Trompet, Stefanie Aeschbacher, Fariba Ahmadizar, Alvaro Alonso, Jennifer A. Brody, Archie Campbell, Adolfo Correa, Dawood Darbar, Antonio De Luca, Jean-François Deleuze, Christina Ellervik, Christian Fuchsberger, Anuj Goel, Christopher Grace, Xiuqing Guo, Torben Hansen, Susan R. Heckbert, Rebecca D. Jackson, Jan A. Kors, Maria Fernanda Lima-Costa, Allan Linneberg, Peter W. Macfarlane, Alanna C. Morrison, Pau Navarro, David J. Porteous, Peter P. Pramstaller, Alexander P. Reiner, Lorenz Risch, Ulrich Schotten, Xia Shen, Gianfranco Sinagra, Elsayed Z. Soliman, Monika Stoll, Eduardo Tarazona-Santos, Andrew Tinker, Katerina Trajanoska, Eric Villard, Helen R. Warren, Eric A. Whitsel, Kerri L. Wiggins, Dan E. Arking, Christy L. Avery, David Conen, Giorgia Girotto, Niels Grarup, Caroline Hayward, J.Wouter Jukema, Dennis O. Mook-Kanamori, Morten Salling Olesen, Sandosh Padmanabhan, Bruce M. Psaty, Cristian Pattaro, Antonio Luiz P. Ribeiro, Jerome I. Rotter, Bruno H. Stricker, Pim van der Harst, Cornelia M. van Duijn, Niek Verweij, James G. Wilson, Michele Orini, Philippe Charron, Hugh Watkins, Charles Kooperberg, Henry J. Lin, James F. Wilson, Jørgen K. Kanters, Nona Sotoodehnia, Borbala Mifsud, Pier D. Lambiase, Larisa G. Tereshchenko, Patricia B. Munroe, Epidemiology, Department of Finance, Medical Informatics, Internal Medicine, Erasmus MC other, Cardiovascular Centre (CVC), Young, William J, Haessler, Jeffrey, Benjamins, Jan-Walter, Repetto, Linda, Yao, Jie, Isaacs, Aaron, Harper, Andrew R, Ramirez, Julia, Garnier, Sophie, van Duijvenboden, Stefan, Baldassari, Antoine R, Concas, Maria Pina, Duong, Thuyvy, Foco, Luisa, Isaksen, Jonas L, Mei, Hao, Noordam, Raymond, Nursyifa, Casia, Richmond, Anne, Santolalla, Meddly L, Sitlani, Colleen M, Soroush, Negin, Thériault, Sébastien, Trompet, Stella, Aeschbacher, Stefanie, Ahmadizar, Fariba, Alonso, Alvaro, Brody, Jennifer A, Campbell, Archie, Correa, Adolfo, Darbar, Dawood, De Luca, Antonio, Deleuze, Jean-Françoi, Ellervik, Christina, Fuchsberger, Christian, Goel, Anuj, Grace, Christopher, Guo, Xiuqing, Hansen, Torben, Heckbert, Susan R, Jackson, Rebecca D, Kors, Jan A, Lima-Costa, Maria Fernanda, Linneberg, Allan, Macfarlane, Peter W, Morrison, Alanna C, Navarro, Pau, Porteous, David J, Pramstaller, Peter P, Reiner, Alexander P, Risch, Lorenz, Schotten, Ulrich, Shen, Xia, Sinagra, Gianfranco, Soliman, Elsayed Z, Stoll, Monika, Tarazona-Santos, Eduardo, Tinker, Andrew, Trajanoska, Katerina, Villard, Eric, Warren, Helen R, Whitsel, Eric A, Wiggins, Kerri L, Arking, Dan E, Avery, Christy L, Conen, David, Girotto, Giorgia, Grarup, Niel, Hayward, Caroline, Jukema, J Wouter, Mook-Kanamori, Dennis O, Olesen, Morten Salling, Padmanabhan, Sandosh, Psaty, Bruce M, Pattaro, Cristian, Ribeiro, Antonio Luiz P, Rotter, Jerome I, Stricker, Bruno H, van der Harst, Pim, van Duijn, Cornelia M, Verweij, Niek, Wilson, James G, Orini, Michele, Charron, Philippe, Watkins, Hugh, Kooperberg, Charle, Lin, Henry J, Wilson, James F, Kanters, Jørgen K, Sotoodehnia, Nona, Mifsud, Borbala, Lambiase, Pier D, Tereshchenko, Larisa G, and Munroe, Patricia B
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Electrocardiography/methods ,General Physics and Astronomy ,610 Medicine & health ,Arrhythmias ,Cardiovascular ,General Biochemistry, Genetics and Molecular Biology ,cardiac arrhythmia ,Electrocardiography ,SDG 3 - Good Health and Well-being ,Risk Factors ,Cardiovascular Diseases/genetics ,Genetics ,Humans ,Arrhythmias, Cardiac/genetics ,Atrioventricular Block ,Multidisciplinary ,Human Genome ,General Chemistry ,Heart Disease ,Cardiovascular Diseases ,Cardiac ,Biomarkers ,Genome-Wide Association Study - Abstract
The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration. Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism and genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle and their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.
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- 2023
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42. Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways
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William J. Young, Najim Lahrouchi, Aaron Isaacs, ThuyVy Duong, Luisa Foco, Farah Ahmed, Jennifer A. Brody, Reem Salman, Raymond Noordam, Jan-Walter Benjamins, Jeffrey Haessler, Leo-Pekka Lyytikäinen, Linda Repetto, Maria Pina Concas, Marten E. van den Berg, Stefan Weiss, Antoine R. Baldassari, Traci M. Bartz, James P. Cook, Daniel S. Evans, Rebecca Freudling, Oliver Hines, Jonas L. Isaksen, Honghuang Lin, Hao Mei, Arden Moscati, Martina Müller-Nurasyid, Casia Nursyifa, Yong Qian, Anne Richmond, Carolina Roselli, Kathleen A. Ryan, Eduardo Tarazona-Santos, Sébastien Thériault, Stefan van Duijvenboden, Helen R. Warren, Jie Yao, Dania Raza, Stefanie Aeschbacher, Gustav Ahlberg, Alvaro Alonso, Laura Andreasen, Joshua C. Bis, Eric Boerwinkle, Archie Campbell, Eulalia Catamo, Massimiliano Cocca, Michael J. Cutler, Dawood Darbar, Alessandro De Grandi, Antonio De Luca, Jun Ding, Christina Ellervik, Patrick T. Ellinor, Stephan B. Felix, Philippe Froguel, Christian Fuchsberger, Martin Gögele, Claus Graff, Mariaelisa Graff, Xiuqing Guo, Torben Hansen, Susan R. Heckbert, Paul L. Huang, Heikki V. Huikuri, Nina Hutri-Kähönen, M. Arfan Ikram, Rebecca D. Jackson, Juhani Junttila, Maryam Kavousi, Jan A. Kors, Thiago P. Leal, Rozenn N. Lemaitre, Henry J. Lin, Lars Lind, Allan Linneberg, Simin Liu, Peter W. MacFarlane, Massimo Mangino, Thomas Meitinger, Massimo Mezzavilla, Pashupati P. Mishra, Rebecca N. Mitchell, Nina Mononen, May E. Montasser, Alanna C. Morrison, Matthias Nauck, Victor Nauffal, Pau Navarro, Kjell Nikus, Guillaume Pare, Kristen K. Patton, Giulia Pelliccione, Alan Pittman, David J. Porteous, Peter P. Pramstaller, Michael H. Preuss, Olli T. Raitakari, Alexander P. Reiner, Antonio Luiz P. Ribeiro, Kenneth M. Rice, Lorenz Risch, David Schlessinger, Ulrich Schotten, Claudia Schurmann, Xia Shen, M. Benjamin Shoemaker, Gianfranco Sinagra, Moritz F. Sinner, Elsayed Z. Soliman, Monika Stoll, Konstantin Strauch, Kirill Tarasov, Kent D. Taylor, Andrew Tinker, Stella Trompet, André Uitterlinden, Uwe Völker, Henry Völzke, Melanie Waldenberger, Lu-Chen Weng, Eric A. Whitsel, James G. Wilson, Christy L. Avery, David Conen, Adolfo Correa, Francesco Cucca, Marcus Dörr, Sina A. Gharib, Giorgia Girotto, Niels Grarup, Caroline Hayward, Yalda Jamshidi, Marjo-Riitta Järvelin, J. Wouter Jukema, Stefan Kääb, Mika Kähönen, Jørgen K. Kanters, Charles Kooperberg, Terho Lehtimäki, Maria Fernanda Lima-Costa, Yongmei Liu, Ruth J. F. Loos, Steven A. Lubitz, Dennis O. Mook-Kanamori, Andrew P. Morris, Jeffrey R. O’Connell, Morten Salling Olesen, Michele Orini, Sandosh Padmanabhan, Cristian Pattaro, Annette Peters, Bruce M. Psaty, Jerome I. Rotter, Bruno Stricker, Pim van der Harst, Cornelia M. van Duijn, Niek Verweij, James F. Wilson, Dan E. Arking, Julia Ramirez, Pier D. Lambiase, Nona Sotoodehnia, Borbala Mifsud, Christopher Newton-Cheh, Patricia B. Munroe, Cardiology, ACS - Heart failure & arrhythmias, Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, Internal Medicine, Young, William J, Lahrouchi, Najim, Isaacs, Aaron, Duong, Thuyvy, Foco, Luisa, Ahmed, Farah, Brody, Jennifer A, Salman, Reem, Noordam, Raymond, Benjamins, Jan-Walter, Haessler, Jeffrey, Lyytikäinen, Leo-Pekka, Repetto, Linda, Concas, Maria Pina, van den Berg, Marten E, Weiss, Stefan, Baldassari, Antoine R, Bartz, Traci M, Cook, James P, Evans, Daniel S, Freudling, Rebecca, Hines, Oliver, Isaksen, Jonas L, Lin, Honghuang, Mei, Hao, Moscati, Arden, Müller-Nurasyid, Martina, Nursyifa, Casia, Qian, Yong, Richmond, Anne, Roselli, Carolina, Ryan, Kathleen A, Tarazona-Santos, Eduardo, Thériault, Sébastien, van Duijvenboden, Stefan, Warren, Helen R, Yao, Jie, Raza, Dania, Aeschbacher, Stefanie, Ahlberg, Gustav, Alonso, Alvaro, Andreasen, Laura, Bis, Joshua C, Boerwinkle, Eric, Campbell, Archie, Catamo, Eulalia, Cocca, Massimiliano, Cutler, Michael J, Darbar, Dawood, De Grandi, Alessandro, De Luca, Antonio, Ding, Jun, Ellervik, Christina, Ellinor, Patrick T, Felix, Stephan B, Froguel, Philippe, Fuchsberger, Christian, Gögele, Martin, Graff, Clau, Graff, Mariaelisa, Guo, Xiuqing, Hansen, Torben, Heckbert, Susan R, Huang, Paul L, Huikuri, Heikki V, Hutri-Kähönen, Nina, Ikram, M Arfan, Jackson, Rebecca D, Junttila, Juhani, Kavousi, Maryam, Kors, Jan A, Leal, Thiago P, Lemaitre, Rozenn N, Lin, Henry J, Lind, Lar, Linneberg, Allan, Liu, Simin, Macfarlane, Peter W, Mangino, Massimo, Meitinger, Thoma, Mezzavilla, Massimo, Mishra, Pashupati P, Mitchell, Rebecca N, Mononen, Nina, Montasser, May E, Morrison, Alanna C, Nauck, Matthia, Nauffal, Victor, Navarro, Pau, Nikus, Kjell, Pare, Guillaume, Patton, Kristen K, Pelliccione, Giulia, Pittman, Alan, Porteous, David J, Pramstaller, Peter P, Preuss, Michael H, Raitakari, Olli T, Reiner, Alexander P, Ribeiro, Antonio Luiz P, Rice, Kenneth M, Risch, Lorenz, Schlessinger, David, Schotten, Ulrich, Schurmann, Claudia, Shen, Xia, Shoemaker, M Benjamin, Sinagra, Gianfranco, Sinner, Moritz F, Soliman, Elsayed Z, Stoll, Monika, Strauch, Konstantin, Tarasov, Kirill, Taylor, Kent D, Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Weng, Lu-Chen, Whitsel, Eric A, Wilson, James G, Avery, Christy L, Conen, David, Correa, Adolfo, Cucca, Francesco, Dörr, Marcu, Gharib, Sina A, Girotto, Giorgia, Grarup, Niel, Hayward, Caroline, Jamshidi, Yalda, Järvelin, Marjo-Riitta, Jukema, J Wouter, Kääb, Stefan, Kähönen, Mika, Kanters, Jørgen K, Kooperberg, Charle, Lehtimäki, Terho, Lima-Costa, Maria Fernanda, Liu, Yongmei, Loos, Ruth J F, Lubitz, Steven A, Mook-Kanamori, Dennis O, Morris, Andrew P, O'Connell, Jeffrey R, Olesen, Morten Salling, Orini, Michele, Padmanabhan, Sandosh, Pattaro, Cristian, Peters, Annette, Psaty, Bruce M, Rotter, Jerome I, Stricker, Bruno, van der Harst, Pim, van Duijn, Cornelia M, Verweij, Niek, Wilson, James F, Arking, Dan E, Ramirez, Julia, Lambiase, Pier D, Sotoodehnia, Nona, Mifsud, Borbala, Newton-Cheh, Christopher, Munroe, Patricia B, Cardiovascular Centre (CVC), Tampere University, Department of Clinical Chemistry, Clinical Medicine, Department of Paediatrics, TAYS Heart Centre, Department of Clinical Physiology and Nuclear Medicine, Fysiologie, RS: Carim - B01 Blood proteins & engineering, RS: Carim - H08 Experimental atrial fibrillation, and Biochemie
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Male ,Electrocardiography/methods ,General Physics and Astronomy ,610 Medicine & health ,Arrhythmias ,3121 Internal medicine ,Genome-wide association studies ,General Biochemistry, Genetics and Molecular Biology ,Electrocardiography ,Humans ,Arrhythmias, Cardiac/genetics ,Genetic Testing ,Medicinsk genetik ,Multidisciplinary ,Death, Sudden, Cardiac ,Arrhythmias, Cardiac ,General Chemistry ,Sudden ,Electrocardiogram ,Death ,Genetic markers ,3111 Biomedicine ,610 Medizin und Gesundheit ,Cardiac ,Medical Genetics - Abstract
The QT interval is a heritable electrocardiographic measure associated with arrhythmia risk when prolonged. Here, the authors used a series of genetic analyses to identify genetic loci, pathways, therapeutic targets, and relationships with cardiovascular disease. The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization and repolarization, estimated by QRS duration and JT interval, respectively. QT interval abnormalities are associated with potentially fatal ventricular arrhythmia. Using genome-wide multi-ancestry analyses (>250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization.
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- 2022
43. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction
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Dennis O. Mook-Kanamori, Yalda Jamshidi, Peter K. Joshi, Seung Hoan Choi, Henry J. Lin, Rebecca D. Jackson, Alison D. Murray, May E. Montasser, Veikko Salomaa, Charles Kooperberg, Moritz F. Sinner, Gianfranco Sinagra, Luisa Foco, James G. Wilson, Johan Sundström, Kathleen A. Ryan, Eric A. Whitsel, Bruno H. Stricker, Sandosh Padmanabhan, Christopher Newton-Cheh, Ozren Polasek, Unnur Thorsteinsdottir, Niek Verweij, Pier D. Lambiase, Nathan R. Tucker, Stefan Kääb, Jun Ding, Stefan Weiss, Daniel F. Gudbjartsson, David Conen, Lars Lind, Ivana Kolcic, Lu-Chen Weng, J. Wouter Jukema, Kirill V. Tarasov, Xiuqing Guo, Stella Trompet, Patricia B. Munroe, Albert V. Smith, Elsayed Z. Soliman, Andrew Tinker, Antti Jula, J. Gustav Smith, Alexander P. Reiner, Sébastien Thériault, Kathryn L. Lunetta, Vilmundur Gudnason, Mika Kähönen, Massimo Mangino, Raymond Noordam, Joshua C. Bis, Alan R. Shuldiner, Tim D. Spector, Borbala Mifsud, Stefan van Duijvenboden, Jeffrey R. O'Connell, Emelia J. Benjamin, M. Benjamin Shoemaker, Stephan B. Felix, Peter W. Macfarlane, Lorenz Risch, Uwe Völker, Stephanie M. Gogarten, Maria Fernanda Lima-Costa, Julia Ramirez, Morten S. Olesen, Konstantin Strauch, Annette Peters, Aaron Isaacs, Steven A. Lubitz, Eric Boerwinkle, Carolina Roselli, James H. Cartwright, Nathalia M. Araujo, Ruth J. F. Loos, Diane Fatkin, Harry Campbell, Blair H. Smith, Thomas Meitinger, André G. Uitterlinden, Paul L. Huang, Tamara B. Harris, Kathleen F. Kerr, David J. Porteous, Martina Müller-Nurasyid, Francesco Cucca, Michiel Rienstra, Davíð O. Arnar, Amanda A. Seyerle, Caroline Hayward, M. Abdullah Said, Catriona L. K. Barnes, Kent D. Taylor, Nona Sotoodehnia, Nina Mononen, Dan M. Roden, Jonathan Marten, Terho Lehtimäki, Dan E. Arking, Anna F. Dominiczak, Jan A. Kors, Olli T. Raitakari, Igor Rudan, Yordi J. van de Vegte, Christopher P. Nelson, Erik Ingelsson, Ulrike Peters, Girish N. Nadkarni, Eduardo Tarazona-Santos, Edward G. Lakatta, Nina Hutri-Kähönen, Bruce M. Psaty, Patrick T. Ellinor, Christian Fuchsberger, Katharina Schramm, Amelia W. Hall, M. Yldau van der Ende, Alvaro Alonso, James F. Wilson, Sheila Ulivi, Rosa B. Thorolfsdottir, Stefanie Aeschbacher, Mary L. Biggs, Marten E. van den Berg, Nilesh J. Samani, Thibaud Boutin, Vilmantas Giedraitis, Honghuang Lin, Kjell Nikus, Helen R. Warren, Arie C. Maan, James J. Cranley, Adolfo Correa, Martin Gögele, Ian Ford, Katri Sääksjärvi, Georg Ehret, Michele Orini, Susan R. Heckbert, Cecilia M. Lindgren, Jie Yao, Maria Pina Concas, Pim van der Harst, Ioanna Ntalla, Jeffrey Haessler, Jerome I. Rotter, Pashupati P. Mishra, Michael J. Cutler, Erwin P. Bottinger, Cornelia M. van Duijn, Jennifer A. Brody, Paolo Gasparini, Lenore J. Launer, Andrew P. Morris, Renée de Mutsert, Aki S. Havulinna, James P. Cook, Hilma Holm, Patrick Sulem, Alessandro De Grandi, Cristian Pattaro, Gardar Sveinbjornsson, Antonio Luiz Pinho Ribeiro, Mark J. Caulfield, Gudmar Thorleifsson, Marcus Dörr, Muhammad B. Riaz, Peter P. Pramstaller, Yong Qian, Anubha Mahajan, Cathy C. Laurie, Kenneth Rice, Mark Chaffin, Kari Stefansson, Andrew A. Hicks, Solmaz Assa, Hao Mei, Leo-Pekka Lyytikäinen, Fabiola Del Greco M, Renan P. Souza, Michael Preuss, Adrienne M. Stilp, Barry London, Melanie Waldenberger, Christy L. Avery, Daniel Levy, Michael R. Barnes, Medical Informatics, Epidemiology, Internal Medicine, Weng, Lu-Chen [0000-0003-1475-4930], Hall, Amelia Weber [0000-0002-7915-0313], Tucker, Nathan R [0000-0002-5071-4218], Chaffin, Mark D [0000-0002-1234-5562], Roselli, Carolina [0000-0001-5267-6756], Barnes, Michael R [0000-0001-9097-7381], Mifsud, Borbala [0000-0003-3429-3094], Hayward, Caroline [0000-0002-9405-9550], Concas, Maria Pina [0000-0003-3598-2537], Boutin, Thibaud [0000-0003-4754-1675], Kolcic, Ivana [0000-0001-7918-6052], Rudan, Igor [0000-0001-6993-6884], Souza, Renan P [0000-0002-9479-4432], Giedraitis, Vilmantas [0000-0003-3423-2021], Ingelsson, Erik [0000-0003-2256-6972], Mahajan, Anubha [0000-0001-5585-3420], Morris, Andrew P [0000-0002-6805-6014], Hicks, Andrew A [0000-0001-6320-0411], Sundström, Johan [0000-0003-2247-8454], Nelson, Christopher P [0000-0001-8025-2897], Riaz, Muhammad B [0000-0002-5512-1745], Sinagra, Gianfranco [0000-0003-2700-8478], Mishra, Pashupati P [0000-0001-5177-3431], Caulfield, Mark J [0000-0001-9295-3594], Dominiczak, Anna [0000-0003-4913-3608], Risch, Lorenz [0000-0003-2692-6699], Joshi, Peter K [0000-0002-6361-5059], Wilson, James F [0000-0001-5751-9178], Isaacs, Aaron [0000-0001-5037-4834], van Duijn, Cornelia M [0000-0002-2374-9204], Gudnason, Vilmundur [0000-0001-5696-0084], Smith, Albert V [0000-0003-1942-5845], Loos, Ruth JF [0000-0002-8532-5087], Preuss, Michael H [0000-0001-5266-8465], Correa, Adolfo [0000-0002-9501-600X], Müller-Nurasyid, Martina [0000-0003-3793-5910], Waldenberger, Melanie [0000-0003-0583-5093], Mangino, Massimo [0000-0002-2167-7470], Rienstra, Michiel [0000-0002-2581-070X], van der Harst, Pim [0000-0002-2713-686X], Verweij, Niek [0000-0002-4303-7685], Fatkin, Diane [0000-0002-9010-9856], Brody, Jennifer A [0000-0001-8509-148X], Rice, Kenneth [0000-0002-3071-7278], Pattaro, Cristian [0000-0002-4119-0109], Wouter Jukema, J [0000-0002-3246-8359], Weiss, Stefan [0000-0002-3553-4315], Havulinna, Aki S [0000-0002-4787-8959], Sääksjärvi, Katri [0000-0002-5061-4911], Salomaa, Veikko [0000-0001-7563-5324], Rotter, Jerome I [0000-0001-7191-1723], Taylor, Kent D [0000-0002-2756-4370], Lakatta, Edward G [0000-0002-4772-0035], Lin, Honghuang [0000-0003-3043-3942], Lunetta, Kathryn L [0000-0002-9268-810X], Murray, Alison D [0000-0003-4915-4847], Porteous, David J [0000-0003-1249-6106], Smith, Blair H [0000-0002-5362-9430], Uitterlinden, André [0000-0002-7276-3387], Peters, Ulrike [0000-0001-5666-9318], Alonso, Alvaro [0000-0002-2225-8323], Ehret, Georg B [0000-0002-5730-0675], Soliman, Elsayed Z [0000-0001-5632-8150], Gogarten, Stephanie M [0000-0002-7231-9745], Kerr, Kathleen F [0000-0002-6438-9583], Abdullah Said, M [0000-0003-2920-7745], Orini, Michele [0000-0001-5773-0344], Ramirez, Julia [0000-0003-4130-5866], Van Duijvenboden, Stefan [0000-0001-8897-558X], Gudbjartsson, Daniel F [0000-0002-5222-9857], Sulem, Patrick [0000-0001-7123-6123], Thorolfsdottir, Rosa B [0000-0001-7475-0398], Benjamin, Emelia J [0000-0003-4076-2336], Stefansson, Kari [0000-0003-1676-864X], Ellinor, Patrick T [0000-0002-2067-0533], Jamshidi, Yalda [0000-0003-0151-6482], Lubitz, Steven A [0000-0002-9599-4866], Munroe, Patricia B [0000-0002-4176-2947], Apollo - University of Cambridge Repository, Medicum, Institute for Molecular Medicine Finland, Complex Disease Genetics, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Cardiovascular Centre (CVC), Ntalla, I., Weng, L. -C., Cartwright, J. H., Hall, A. W., Sveinbjornsson, G., Tucker, N. R., Choi, S. H., Chaffin, M. D., Roselli, C., Barnes, M. R., Mifsud, B., Warren, H. R., Hayward, C., Marten, J., Cranley, J. J., Concas, M. P., Gasparini, P., Boutin, T., Kolcic, I., Polasek, O., Rudan, I., Araujo, N. M., Lima-Costa, M. F., Ribeiro, A. L. P., Souza, R. P., Tarazona-Santos, E., Giedraitis, V., Ingelsson, E., Mahajan, A., Morris, A. P., Del Greco M, F., Foco, L., Gogele, M., Hicks, A. A., Cook, J. P., Lind, L., Lindgren, C. M., Sundstrom, J., Nelson, C. P., Riaz, M. B., Samani, N. J., Sinagra, G., Ulivi, S., Kahonen, M., Mishra, P. P., Mononen, N., Nikus, K., Caulfield, M. J., Dominiczak, A., Padmanabhan, S., Montasser, M. E., O'Connell, J. R., Ryan, K., Shuldiner, A. R., Aeschbacher, S., Conen, D., Risch, L., Theriault, S., Hutri-Kahonen, N., Lehtimaki, T., Lyytikainen, L. -P., Raitakari, O. T., Barnes, C. L. K., Campbell, H., Joshi, P. K., Wilson, J. F., Isaacs, A., Kors, J. A., van Duijn, C. M., Huang, P. L., Gudnason, V., Harris, T. B., Launer, L. J., Smith, A. V., Bottinger, E. P., Loos, R. J. F., Nadkarni, G. N., Preuss, M. H., Correa, A., Mei, H., Wilson, J., Meitinger, T., Muller-Nurasyid, M., Peters, A., Waldenberger, M., Mangino, M., Spector, T. D., Rienstra, M., van de Vegte, Y. J., van der Harst, P., Verweij, N., Kaab, S., Schramm, K., Sinner, M. F., Strauch, K., Cutler, M. J., Fatkin, D., London, B., Olesen, M., Roden, D. M., Benjamin Shoemaker, M., Gustav Smith, J., Biggs, M. L., Bis, J. C., Brody, J. A., Psaty, B. M., Rice, K., Sotoodehnia, N., De Grandi, A., Fuchsberger, C., Pattaro, C., Pramstaller, P. P., Ford, I., Wouter Jukema, J., Macfarlane, P. W., Trompet, S., Dorr, M., Felix, S. B., Volker, U., Weiss, S., Havulinna, A. S., Jula, A., Saaksjarvi, K., Salomaa, V., Guo, X., Heckbert, S. R., Lin, H. J., Rotter, J. I., Taylor, K. D., Yao, J., de Mutsert, R., Maan, A. C., Mook-Kanamori, D. O., Noordam, R., Cucca, F., Ding, J., Lakatta, E. G., Qian, Y., Tarasov, K. V., Levy, D., Lin, H., Newton-Cheh, C. H., Lunetta, K. L., Murray, A. D., Porteous, D. J., Smith, B. H., Stricker, B. H., Uitterlinden, A., van den Berg, M. E., Haessler, J., Jackson, R. D., Kooperberg, C., Peters, U., Reiner, A. P., Whitsel, E. A., Alonso, A., Arking, D. E., Boerwinkle, E., Ehret, G. B., Soliman, E. Z., Avery, C. L., Gogarten, S. M., Kerr, K. F., Laurie, C. C., Seyerle, A. A., Stilp, A., Assa, S., Abdullah Said, M., Yldau van der Ende, M., Lambiase, P. D., Orini, M., Ramirez, J., Van Duijvenboden, S., Arnar, D. O., Gudbjartsson, D. F., Holm, H., Sulem, P., Thorleifsson, G., Thorolfsdottir, R. B., Thorsteinsdottir, U., Benjamin, E. J., Tinker, A., Stefansson, K., Ellinor, P. T., Jamshidi, Y., Lubitz, S. A., Munroe, P. B., Fysiologie, RS: FHML MaCSBio, RS: Carim - B01 Blood proteins & engineering, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, and University of Iceland
- Subjects
0301 basic medicine ,Male ,Multifactorial Inheritance ,General Physics and Astronomy ,Gene Expression ,Genome-wide association study ,030204 cardiovascular system & hematology ,Arrhythmias ,Genome-wide association studies ,CALCINEURIN ,Electrocardiography ,0302 clinical medicine ,Cardiovascular Disease ,Multi-ancestry GWAS ,ELEMENTS ,Medicine ,Cardiac and Cardiovascular Systems ,Blóðrásarsjúkdómar ,lcsh:Science ,RISK ,DECREASE ,education.field_of_study ,Multidisciplinary ,Kardiologi ,medicine.diagnostic_test ,1184 Genetics, developmental biology, physiology ,Atrial fibrillation ,3142 Public health care science, environmental and occupational health ,3. Good health ,Endophenotype ,Arrhythmias, Cardiac ,Cardiovascular Diseases ,Endophenotypes ,Female ,Genetic Loci ,Genetic Predisposition to Disease ,Genetic Variation ,Genome-Wide Association Study ,Humans ,Quantitative Trait Loci ,cardiovascular system ,Cardiology ,medicine.symptom ,Erfðarannsóknir ,Cardiac ,Medical Genetics ,Human ,Bradycardia ,medicine.medical_specialty ,Science ,GENOME-WIDE ASSOCIATION ,ATRIAL-FIBRILLATION ,MUTATIONS ,DURATION ,CARDIOMYOPATHY ,BRADYCARDIA ,Population ,Article ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,Internal medicine ,Cardiac conduction ,PR interval ,education ,Medicinsk genetik ,business.industry ,Cardiovascular genetics ,General Chemistry ,Arfgengi ,medicine.disease ,030104 developmental biology ,lcsh:Q ,business - Abstract
Publisher's version (útgefin grein), The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease., We provide all investigator and study-specific acknowledgements in Supplementary Note 1, and funding sources in Supplementary Note 2.
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- 2020
44. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
- Author
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Olle Melander, Niek Verweij, Uwe Völker, Morris A. Swertz, Seppo Koskinen, David Conen, Lars Lind, Rossella Sorice, Philippe Amouyel, Andres Metspalu, David J. Stott, Marty Larson, Francis S. Collins, Ozren Polasek, Paul F. O'Reilly, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Michela Traglia, Tineka Blake, John Attia, Bruce M. Psaty, Massimo Mangino, Alison Pattie, Marco Brumat, Dorret I. Boomsma, Harry Campbell, Daniel I. Chasman, Tõnu Esko, Wei-Yu Lin, Rodney J. Scott, Marjo-Riitta Järvelin, Guillaume Paré, Adriana M. Hung, Marina Evangelou, Quang Tri Nguyen, Markus Perola, Kenneth Rice, Yong Qian, Antonietta Robino, Anne U. Jackson, Ian J. Deary, Mika Kähönen, Cristina Menni, Veronique Vitart, Igor Rudan, Ganesh Chauhan, Aravinda Chakravarti, Jennifer E. Huffman, John M. Starr, Anubha Mahajan, Christopher Newton-Cheh, Peter Almgren, Yuri Milaneschi, Jacklyn N. Hellwege, Roby Joehanes, Christopher P. Nelson, Eleftheria Zeggini, Elizabeth G. Holliday, Peter J. van der Most, Annette Peters, Paul M. Ridker, Michael Boehnke, Joris Deelen, Brenda W.J.H. Penninx, Neil Poulter, Renée de Mutsert, Rick Jansen, Fu Liang Ng, Anne-Claire Vergnaud, Ilja M. Nolte, Meixia Ren, Gail Davies, John M. C. Connell, Jian'an Luan, Todd L. Edwards, Benjamin Lehne, K. Witkowska, Lili Milani, Stéphanie Debette, Georgios Ntritsos, Claudia P. Cabrera, Paolo Gasparini, Jouke-Jan Hottenga, Antti-Pekka Sarin, Kelly Cho, Robert A. Scott, Veikko Salomaa, Niki Dimou, David C. Liewald, Pim van der Harst, Teemu J. Niiranen, Denis C. Shields, Leo-Pekka Lyytikäinen, Andrew P. Morris, Murielle Bochud, Helena Schmidt, Bernard Keavney, Christopher Oldmeadow, Ioanna Tzoulaki, Jaakko Tuomilehto, Louise V. Wain, Reedik Mägi, Christian Gieger, Caterina Barbieri, Aki S. Havulinna, Fabiola Del Greco M, Dragana Vuckovic, Alan F. Wright, J. Wouter Jukema, Reinhold Schmidt, Marcus Dörr, Franco Giulianini, Evan Tzanis, Erwin P. Bottinger, David Mosen-Ansorena, Ruth J. F. 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Nalls, Chrysovalanto Mamasoula, Daniela Ruggiero, Erik Ingelsson, Colin N. A. Palmer, Alan James, Elin Org, Kati Kristiansson, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Vilmantas Giedraitis, Jerome I. Rotter, Yasaman Saba, Daniel Levy, Li Lin, Janina S. Ried, Michael R. Barnes, Harriëtte Riese, Andrew D. Johnson, David P. Strachan, Martin D. Tobin, Lorenz Risch, Rona J. Strawbridge, Jing Hua Zhao, Vilmundur Gudnason, Borbala Mifsud, Eric Boerwinkle, Catharina A. Hartman, Ben A. Oostra, Dan E. Arking, Andrew A. Hicks, Peter Vollenweider, Thibaud Boutin, Philip S. Tsao, Jie Yao, Ayush Giri, Marina Ciullo, Morris J. Brown, Alanna C. Morrison, Kay-Tee Khaw, Francesco Cucca, Jonathan Marten, Olli T. Raitakari, Christopher J. O'Donnell, Jaume Marrugat, Tim D. Spector, Heather J. Cordell, Nilesh J. Samani, Simon Thom, Sarah E. Harris, UNIVERSITY OF OULU, Commission of the European Communities, Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, National Institute for Health Research, British Heart Foundation, Medical Research Council (MRC), UK DRI Ltd, Epidemiology, Internal Medicine, Lee Kong Chian School of Medicine (LKCMedicine), Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Ehret, Georg Benedikt, Lin, Li, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Evangelou, Evangelo, Warren, Helen R, Mosen-Ansorena, David, Mifsud, Borbala, Pazoki, Raha, Gao, He, Ntritsos, Georgio, Dimou, Niki, Cabrera, Claudia P, Karaman, Ibrahim, Ng, Fu Liang, Evangelou, Marina, Witkowska, 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Peter K, Jousilahti, Pekka, Jukema, J Wouter, Jula, Antti, Kähönen, Mika, Kathiresan, Sekar, Keavney, Bernard D, Khaw, Kay-Tee, Knekt, Paul, Knight, Joanne, Kolcic, Ivana, Kooner, Jaspal S, Koskinen, Seppo, Kristiansson, Kati, Kutalik, Zoltan, Laan, Mari, Larson, Marty, Launer, Lenore J, Lehne, Benjamin, Lehtimäki, Terho, Liewald, David C M, Lind, Lar, Lindgren, Cecilia M, Liu, Yongmei, Loos, Ruth J F, Lopez, Lorna M, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamasoula, Chrysovalanto, Marrugat, Jaume, Marten, Jonathan, Milaneschi, Yuri, Morgan, Anna, Morris, Andrew P, Morrison, Alanna C, Munson, Peter J, Nalls, Mike A, Nandakumar, Priyanka, Nelson, Christopher P, Niiranen, Teemu, Nolte, Ilja M, Nutile, Teresa, Oldehinkel, Albertine J, Oostra, Ben A, O'Reilly, Paul F, Org, Elin, Padmanabhan, Sandosh, Palmas, Walter, Palotie, Aarno, Pattie, Alison, Penninx, Brenda W J H, Perola, Marku, Peters, Annette, Polasek, Ozren, Pramstaller, Peter P, Nguyen, Quang Tri, Raitakari, Olli T, Ren, Meixia, Rettig, Rainer, Rice, Kenneth, Ridker, Paul M, Ried, Janina S, Riese, Harriëtte, Ripatti, Samuli, Robino, Antonietta, Rose, Lynda M, Rotter, Jerome I, Rudan, Igor, Ruggiero, Daniela, Saba, Yasaman, Sala, Cinzia F, Salomaa, Veikko, Samani, Nilesh J, Sarin, Antti-Pekka, Schmidt, Reinhold, Schmidt, Helena, Shrine, Nick, Siscovick, David, Smith, Albert V, Snieder, Harold, Sõber, Siim, Sorice, Rossella, Starr, John M, Stott, David J, Strachan, David P, Strawbridge, Rona J, Sundström, Johan, Swertz, Morris A, Taylor, Kent D, Teumer, Alexander, Tobin, Martin D, Tomaszewski, Maciej, Toniolo, Daniela, Traglia, Michela, Trompet, Stella, Tuomilehto, Jaakko, Tzourio, Christophe, Uitterlinden, André G, Vaez, Ahmad, van der Most, Peter J, van Duijn, Cornelia M, Vergnaud, Anne-Claire, Verwoert, Germaine C, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Vuckovic, Dragana, Watkins, Hugh, Wild, Sarah H, Willemsen, Gonneke, Wilson, James F, Wright, Alan F, Yao, Jie, Zemunik, Tatijana, Zhang, Weihua, Attia, John R, Butterworth, Adam S, Chasman, Daniel I, Conen, David, Cucca, Francesco, Danesh, John, Hayward, Caroline, Howson, Joanna M M, Laakso, Markku, Lakatta, Edward G, Langenberg, Claudia, Melander, Olle, Mook-Kanamori, Dennis O, Palmer, Colin N A, Risch, Lorenz, Scott, Robert A, Scott, Rodney J, Sever, Peter, Spector, Tim D, van der Harst, Pim, Wareham, Nicholas J, Zeggini, Eleftheria, Levy, Daniel, Munroe, Patricia B, Newton-Cheh, Christopher, Brown, Morris J, Metspalu, Andre, Hung, Adriana M, O'Donnell, Christopher J, Edwards, Todd L, Psaty, Bruce M, Tzoulaki, Ioanna, Barnes, Michael R, Wain, Louise V, Elliott, Paul, Caulfield, Mark J, Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), VU University medical center, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Institute for Molecular Medicine Finland, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, University of Helsinki, Clinicum, Samuli Olli Ripatti / Principal Investigator, Biostatistics Helsinki, Department of Public Health, Complex Disease Genetics, and Genomics of Neurological and Neuropsychiatric Disorders
- Subjects
Male ,0301 basic medicine ,Netherlands Twin Register (NTR) ,Population/methods ,Genome Informatics ,Blood Pressure ,Genome-wide association study ,GENOME-WIDE ASSOCIATION ,CARDIOVASCULAR-DISEASE RISK ,UK BIOBANK ,HYPERTENSION ,VARIANTS ,METAANALYSIS ,COMMON ,HEALTH ,RARE ,HYPERALDOSTERONISM ,Disease ,Bioinformatics ,Cardiovascular Diseases/epidemiology/genetics ,Risk Factors ,80 and over ,GWAS ,Cells, Cultured ,11 Medical and Health Sciences ,ddc:616 ,Genetics & Heredity ,Aged, 80 and over ,Cultured ,medicine.diagnostic_test ,CARDIOVASCULAR RISK ,Genetic analysis ,Million Veteran Program ,Genetics, Population/methods ,Single Nucleotide ,Middle Aged ,PREVALENCE ,3. Good health ,Pulse pressure ,VINTAGE ,Cardiovascular Diseases ,Blood pressure ,Medical genetics ,Female ,Medical Genetics ,Life Sciences & Biomedicine ,Genetic Testing/methods ,Adult ,medicine.medical_specialty ,Blood Pressure/genetics ,Cells ,Quantitative Trait Loci ,Biology ,Polymorphism, Single Nucleotide ,Article ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Human Umbilical Vein Endothelial Cells ,Genetics ,medicine ,Humans ,Medicine [Science] ,Genetic Predisposition to Disease ,Genetic Testing ,Polymorphism ,HEALTHY ,Life Style ,Medicinsk genetik ,Aged ,Genetic testing ,Genetic association ,Science & Technology ,Cardiovascular Diseases/epidemiology ,06 Biological Sciences ,Genetic architecture ,Genetics, Population ,030104 developmental biology ,Genetic Loci ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,3111 Biomedicine ,Hypertension/genetics ,Genome-Wide Association Study ,Developmental Biology - Abstract
High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future. NMRC (Natl Medical Research Council, S’pore) MOH (Min. of Health, S’pore)
- Published
- 2018
45. Symptomorientierte Notfalldiagnostik im Praxislabor
- Author
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Oliver Senn, Lorenz Risch, University of Zurich, and Risch, Lorenz
- Subjects
11035 Institute of General Practice ,medicine.medical_specialty ,business.industry ,Point-of-care testing ,610 Medicine & health ,Disease ,Dipstick ,2700 General Medicine ,General Medicine ,Acute Pharyngitis ,Test (assessment) ,Pre- and post-test probability ,Bayes' theorem ,medicine ,Intensive care medicine ,business ,Venous thromboembolism - Abstract
Laborparameter des Praxislabors erlauben unter anderem eine effiziente Versorgung von Patienten, welche sich mit akuten Problemen in der Grundversorgungspraxis melden. Mittels einer qualitätsgesicherten Analytik ist es möglich, zusammen mit klinischen Informationen das Risiko für das Vorhandensein einer Erkrankung (Nachtestwahrscheinlichkeit) zu schätzen. Man muss dabei gleichsam die Charakteristika des eingesetzten Tests als auch die Vortestwahrscheinlichkeit eines Patienten kennen, um eine Erkrankung ein- oder auszuschließen. Für die Schätzung der Vortestwahrscheinlichkeit ist die klinische Risikostratifizierung essentiell. Je nach Verdachtsdiagnose stehen zudem auch validierte Risiko-scores zur Verfügung. Im vorliegenden Artikel werden die Grundlagen des Bayes Theorem zusammen mit einer klinischen Anwendung in Notfallszenarien vorgestellt. Diese umfassen den Gebrauch von D-Dimer beim Ausschluss von thromboembolischen Erkrankungen, den Einsatz des Gruppe A Streptokokken-Schnelltests bei der akuten Pharyngitis, sowie die Wertigkeit der Troponin-Diagnostik beim Thoraxschmerz, des Entzündungsmarkers CRP bei Verdacht auf Pneumonie, und des Streifentests im Harn bei Verdacht auf Harnwegsinfekt. Diese Beispiele illustrieren, dass die Durchführung einer Risikostratifizierung von Patienten die Basis ist, um die Wertigkeit der im Praxislabor erhaltenen Resultate für den Nachweis und Ausschluss von Erkrankungen wirkungsvoll zu erhöhen.
- Published
- 2015
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