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Author (up) Eyheramendy, S.; Saa, P.A.; Undurraga, E.A.; Valencia, C.; Lopez, C.; Mendez, L.; Pizarro-Berdichevsky, J.; Finkelstein-Kulka, A.; Solari, S.; Salas, N.; Bahamondes, P.; Ugarte, M.; Barcelo, P.; Arenas, M.; Agosin, E. doi  openurl
  Title Screening of COVID-19 cases through a Bayesian network symptoms model and psychophysical olfactory test Type
  Year 2021 Publication iScience Abbreviated Journal iScience  
  Volume 24 Issue 12 Pages 103419  
  Keywords TRANSMISSION; DYSFUNCTION; SCALE  
  Abstract The sudden loss of smell is among the earliest and most prevalent symptoms of COVID-19 when measured with a clinical psychophysical test. Research has shown the potential impact of frequent screening for olfactory dysfunction, but existing tests are expensive and time consuming. We developed a low-cost ($0.50/test) rapid psychophysical olfactory test (KOR) for frequent testing and a model-based COVID-19 screening framework using a Bayes Network symptoms model. We trained and validated the model on two samples: suspected COVID-19 cases in five healthcare centers (n = 926; 33% prevalence, 309 RT-PCR confirmed) and healthy miners (n = 1,365; 1.1% prevalence, 15 RT-PCR confirmed). The model predicted COVID-19 status with 76% and 96% accuracy in the healthcare and miners samples, respectively (healthcare: AUC = 0.79 [0.75-0.82], sensitivity: 59%, specificity: 87%; miners: AUC = 0.71 [0.63-0.79], sensitivity: 40%, specificity: 97%, at 0.50 infection probability threshold). Our results highlight the potential for low-cost, frequent, accessible, routine COVID-19 testing to support society's reopening.  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2589-0042 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000740250200009 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1524  
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Author (up) Vicuna, L.; Barrientos, E.; Norambuena, T.; Alvares, D.; Gana, J.C.; Leiva-Yamaguchi, V.; Meza, C.; Santos, J.L.; Mericq, V.; Pereira, A.; Eyheramendy, S. doi  openurl
  Title New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry Type
  Year 2023 Publication iScience Abbreviated Journal iScience  
  Volume 26 Issue 2 Pages 106091  
  Keywords  
  Abstract Body-mass index (BMI) is a hallmark of adiposity. In contrast with adulthood, the genetic architecture of BMI during childhood is poorly understood. The few genome-wide association studies (GWAS) on children have been performed almost exclusively in Europeans and at single ages. We performed cross-sectional and longitudinal GWAS for BMI-related traits on 904 admixed children with mostly Mapuche Native American and European ancestries. We found regulatory variants of the immune gene HLA-DQB3 strongly associated with BMI at 1.5 – 2.5 years old. A variant in the sex-determining gene DMRT1 was associated with the age at adiposity rebound (Age-AR) in girls (P = 9.8 x 10(-9)). BMI was significantly higher in Mapuche than in Europeans between 5.5 and 16.5 years old. Finally, Ag  
  Address  
  Corporate Author Data Observatory Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2589-0042 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000990651700001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1808  
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