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14 citation(s) found for "Xi, Yutao".

Age at natural menopause genetic risk score in relation to age at natural menopause and primary open-angle glaucoma in a US-based sample
Pasquale, Louis R. , Bailey, Jessica N. Cooke , Lindström, Sara , Christen, William G. , Allingham, R. Rand, Ashley‐Koch, Allison E. , Lee, Richard K., Moroi, Sayoko E. , Brilliant, Murray H. , Wollstein, Gadi , Schuman, Joel S. , Fingert, John H. , Budenz, Donald L. , Realini, Tony , Gaasterland, Terry , Gaasterland, Douglas, Scott, William K. , Singh, Kuldev, Sit, Arthur J. , Igo, Robert P. , Song, Yeunjoo E. , Rhee, Douglas J. , Gulati, Vikas , Havens, Shane , Vollrath, Douglas, Medeiros, Felipe A. , Pericak‐Vance, Margaret A. , Kraft, Peter , Richards, Julia E. , Rosner, Bernard , Hauser, Michael A. , Haines, Jonathan L. , Wiggs, Janey L. , Aschard, Hugues , Kang, Jae Hee , Chasman, Daniel I. , Hark, Lisa A. , Ritch, Robert , Zack, Donald J. , Weinreb, Robert Neal , Liu, Yutao , Kraft, Peter , Moroi, Sayoko E , Schuman, Joel S , Sit, Arthur J

Menopause | October 12, 2016 | Volume: 24 | Issue: 2 | Pages: 150-156

10.1097/gme.0000000000000741 | PMID 27760082 Get It

Abstract Objective: Several attributes of female reproductive history, including age at natural menopause (ANM), have been related to primary open-angle glaucoma (POAG). We assembled 18 previously reported common genetic variants that predict ANM to determine their association with ANM or POAG. Methods: Using data from the Nurses’ Health Study (7,143 women), we validated the ANM weighted genetic risk score in relation to self-reported ANM. Subsequently, to assess the relation with POAG, we used data from 2,160 female POAG cases and 29,110 controls in the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (NEIGHBORHOOD), which consists of 8 datasets with imputed genotypes to 5.6+ million markers. Associations with POAG were assessed in each dataset, and site-specific results were meta-analyzed using the inverse weighted variance method. Results: The genetic risk score was associated with self-reported ANM (P = 2.2 × 10–77) and predicted 4.8% of the variance in ANM. The ANM genetic risk score was not associated with POAG (Odds Ratio (OR) = 1.002; 95% Confidence Interval (CI): 0.998, 1.007; P = 0.28). No single genetic variant in the panel achieved nominal association with POAG (P ≥0.20). Compared to the middle 80 percent, there was also no association with the lowest 10th percentile or highest 90th percentile of genetic risk score with POAG (OR = 0.75; 95% CI: 0.47, 1.21; P = 0.23 and OR = 1.10; 95% CI: 0.72, 1.69; P = 0.65, respectively). Conclusions: A genetic risk score predicting 4.8% of ANM variation was not related to POAG; thus, genetic determinants of ANM are unlikely to explain the previously reported association between the two phenotypes.
α-1-Syntrophin Mutation and the Long-QT Syndrome
Wu, Geru, Ai, Tomohiko , Mohapatra, Bhagyalaxmi , Xi, Yutao , Abbasi, Shahrzad, Purevjav, Enkhsaikhan , Samani, Kaveh, Ackerman, Michael J. , Qi, Ming , Moss, Arthur J. , Towbin, Jeffrey A. , Vatta, Matteo , Kim, Jeffrey J. , Li, Zhaohui , Shimizu, Wataru , Cheng, Jie

Circulation: Arrhythmia and Electrophysiology | May 28, 2008 | Volume: 1 | Issue: 3 | Pages: 193-201

10.1161/circep.108.769224 | PMID 19684871 Get It

Background— Long-QT syndrome (LQTS) is an inherited disorder associated with sudden cardiac death. The cytoskeletal protein syntrophin-α 1 (SNTA1) is known to interact with the cardiac sodium channel (hNa v 1.5), and we hypothesized that SNTA1 mutations might cause phenotypic LQTS in patients with genotypically normal hNa v 1.5 by secondarily disturbing sodium channel function. Methods and Results— Mutational analysis of SNTA1 was performed on 39 LQTS patients (QTc≥480 ms) with previously negative genetic screening for the known LQTS-causing genes. We identified a novel A257G- SNTA1 missense mutation, which affects a highly conserved residue, in 3 unrelated LQTS probands but not in 400 ethnic-matched control alleles. Only 1 of these probands had a preexisting family history of LQTS and sudden death with an additional intronic variant in KCNQ1. Electrophysiological analysis was performed using HEK-293 cells stably expressing hNa v 1.5 and transiently transfected with either wild-type or mutant SNTA1 and, in neonatal rat cardiomyocytes, transiently transfected with either wild-type or mutant SNTA1. In both HEK-293 cells and neonatal rat cardiomyocytes, increased peak sodium currents were noted along with a 10-mV negative shift of the onset and peak of currents of the current-voltage relationships. In addition, A257G-SNTA1 shifted the steady-state activation ( V h ) leftward by 9.4 mV, whereas the voltage-dependent inactivation kinetics and the late sodium currents were similar to wild-type SNTA1. Conclusion— SNTA1 is a new susceptibility gene for LQTS. A257G- SNTA1 can cause gain-of-function of Na v 1.5 similar to the LQT3.