Assessment of genetic factor and depression interactions for asthma symptom severity in cohorts of childhood and elderly asthmatics

1.Ludman, E. J. et al. Despair and diabetes symptom burden. Gen. Hosp. Psychiatry 26, 430–436 (2004).2.Ruo, B. et al. Depressive signs and health-related high quality of life: the Coronary heart and Soul Research. JAMA 290, 215–221 (2003).three.Janson, C., Bjornsson, E., Hetta, J. & Boman, G. Nervousness and melancholy in relation to respiratory signs and bronchial asthma. Am. J. Respir. Crit. Care Med. 149, 930–934 (1994).four.Rimington, L. D., Davies, D. H., Lowe, D. & Pearson, M. G. Relationship between nervousness, melancholy, and morbidity in grownup bronchial asthma sufferers. Thorax 56, 266–271 (2001).5.Goldney, R. D., Ruffin, R., Fisher, L. J. & Wilson, D. H. Bronchial asthma signs related to melancholy and decrease high quality of life: a inhabitants survey. Med. J. Aust. 178, 437–441 (2003).6.Shanahan, L., Copeland, W. E., Worthman, C. M., Angold, A. & Costello, E. J. Kids with each bronchial asthma and melancholy are in danger for heightened irritation. J. Pediatr. 163, 1443–1447 (2013).7.Van Lieshout, R. J., Bienenstock, J. & MacQueen, G. M. A evaluate of candidate pathways underlying the affiliation between bronchial asthma and main depressive dysfunction. Psychosom. Med. 71, 187–195 (2009).eight.Miller, B. D. & Wooden, B. L. Affect of particular emotional states on autonomic reactivity and pulmonary perform in asthmatic youngsters. J. Am. Acad. Baby Adolesc. Psychiatry 36, 669–677 (1997).9.Wamboldt, M. Z., Hewitt, J. Ok. & Schmitz, S. Familial affiliation between allergic issues and melancholy in grownup Finnish twins. Am. J. Med. Genet. 96, 146–153 (2000).10.Shoemaker, J. S., Painter, I. S. & Weir, B. S. Bayesian statistics in genetics: a information for the uninitiated. Tendencies Genet 15, 354–358 (1999).11.Beaumont, M. A. & Rannala, B. The Bayesian revolution in genetics. Nat. Rev. Genet. 5, 251–261 (2004).12.Farion, Ok. J., Wilk, S., Michalowski, W., O’Sullivan, D. & Sayyad-Shirabad, J. Evaluating predictions made by a prediction mannequin, scientific rating, and physicians: pediatric bronchial asthma exacerbations within the emergency division. Appl. Clin. Inform. four, 376–391 (2013).13.McGeachie, M. J. et al. The metabolomics of bronchial asthma management: a promising hyperlink between genetics and illness. Immun. Inflamm. Dis. three, 224–238 (2015).14.Himes, B. E. et al. Predicting response to short-acting bronchodilator medicine utilizing Bayesian networks. Pharmacogenomics 10, 1393–1412 (2009).15.McGeachie, M. J. et al. Predicting inhaled corticosteroid response in bronchial asthma with two related SNPs. Pharm. J. 13, 306–311 (2013).16.Childhood Bronchial asthma Administration Program Analysis Group. The Childhood Bronchial asthma Administration Program (CAMP): design, rationale, and strategies. Management Clin. Trials 20, 91–120 (1999).17.Szefler, S. J. et al. Characterization of within-subject responses to fluticasone and montelukast in childhood bronchial asthma. J. Allergy Clin. Immunol. 115, 233–242 (2005).18.Sorkness, C. A. et al. Lengthy-term comparability of three controller regimens for mild-moderate persistent childhood bronchial asthma: the Pediatric Bronchial asthma Controller trial. J. Allergy Clin. Immunol. 119, 64–72 (2007).19.Murphy, A. et al. Mapping of quite a few disease-associated expression polymorphisms in main peripheral blood CD4+ lymphocytes. Hum. Mol. Genet 19, 4745–4757 (2010).20.Himes, B. E. et al. Genome-wide affiliation evaluation identifies PDE4D as an asthma-susceptibility gene. Am. J. Hum. Genet. 84, 581–593 (2009).21.Torgerson, D. G. et al. Meta-analysis of genome-wide affiliation research of bronchial asthma in ethnically various North American populations. Nat. Genet. 43, 887–892 (2011).22.Li, Y., Willer, C. J., Ding, J., Scheet, P. & Abecasis, G. R. MaCH: utilizing sequence and genotype knowledge to estimate haplotypes and unobserved genotypes. Genet. Epidemiol. 34, 816–834 (2010).23.Croteau-Chonka, D. C. et al. Expression quantitative trait loci info improves predictive modeling of illness relevance of non-coding genetic variation. PLoS ONE 10, e0140758 (2015).24.Purcell, S. et al. PLINK: a software set for whole-genome affiliation and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).25.Kovacs, M. Ranking scales to evaluate melancholy in class aged youngsters. Acta Paedopsychiatr. 46, 305–318 (1981).26.Reynolds, C. & Richmond, B. Revised Kids’s Manifest Nervousness Scale (RCMAS) (Western Psychological Companies, Los Angeles, CA, 1985).27.Scutari, M. Studying Bayesian networks with the bnlearn R bundle. J. Stat. Softw. 35, 1–22 (2010).28.Friedman, N., Goldszmidt, M., Wyner, A. Information evaluation with Bayesian networks: a Bootstrap method. In Proc 15th Convention on Uncertainty in Synthetic Intelligence 206–215 (Morgan Kaufmann: San Francisco, CA, 1999).29.Ratnapinda, P. & Druzdzel, M. J. An empirical analysis of prices and advantages of simplifying Bayesian networks by eradicating weak arcs. In Proc 27th Worldwide Florida Synthetic Intelligence Analysis Society Convention 508–511 (AAAI Press, Palo Alto, CA, 2014).30.Ghosh, J. Ok., Delampady, M. & Samanta, T. An Introduction to Bayesian Evaluation Idea and Strategies. Springer Texts in Statistics (Springer: New York, NY, 2006).31.Wheeler B. lmPerm:Permutational assessments for linear fashions. 2010. Obtainable at: http://CRAN.R-project.org/bundle=lmPerm.32.Park, H. W. et al. Prediction of bronchial asthma exacerbations in aged adults: outcomes of a 1-year potential research. J. Am. Geriatr. Soc. 61, 1631–1632 (2013).33.Yoos, H. L. & McMullen, A. Symptom notion and analysis in childhood bronchial asthma. Nurs. Res. 48, 2–eight (1999).34.Park, H. W. et al. Xenon air flow computed tomography and the administration of bronchial asthma within the aged. Respirology 19, 389–395 (2014).35.The Nationwide Bronchial asthma Schooling and Prevention Program (NAEPP). Nationwide Bronchial asthma Schooling and Prevention Program Knowledgeable Panel Report three: Tips for the Analysis and Administration of Bronchial asthma 2007. http://www.nhlbi.nih.gov/tips/bronchial asthma/asthgdln.pdf. Accessed eight Dec 2016.36.Gaffin, J. M. et al. β-2 adrenergic receptor gene methylation is related to decreased bronchial asthma severity in inner-city schoolchildren: bronchial asthma and rhinitis. Clin. Exp. Allergy 44, 681–689 (2014).37.Park, H. W. et al. Genetic predictors related to enchancment of bronchial asthma signs in response to inhaled corticosteroids. J. Allergy Clin. Immunol. 133, 664–669 (2014).38.Mougey, E. B. et al. Pharmacogenetics of bronchial asthma controller therapy. Pharm. J. 13, 242–250 (2013).39.Ehrlich, Ok. B., Miller, G. E. & Chen, E. Harsh father or mother–youngster battle is related to decreased anti-inflammatory gene expression and elevated symptom severity in youngsters with bronchial asthma. Dev. Psychopathol. 27, 1547–1554 (2015).40.Murphy, M. L., Slavich, G. M., Chen, E. & Miller, G. E. Focused rejection predicts decreased anti-inflammatory gene expression and elevated symptom severity in youth with bronchial asthma. Psychol. Sci. 26, 111–121 (2015).41.Maier, W., Zobel, A. & Wagner, M. Schizophrenia and bipolar dysfunction: variations and overlaps. Curr. Opin. Psychiatry 19, 165–170 (2006).42.Wang, N. et al. Downregulation of neuregulin 1-ErbB4 signaling in parvalbumin interneurons within the rat mind might contribute to the antidepressant properties of ketamine. J. Mol. Neurosci. 54, 211–218 (2014).43.Baurley, J. W. & Conti, D. V. A scalable, knowledge-based evaluation framework for genetic affiliation research. BMC Bioinform. 14, 312 (2013).44.Hayen, A., Herigstad, M. & Pattinson, Ok. T. Understanding dyspnea as a posh particular person expertise. Maturitas 76, 45–50 (2013).45.Ahrens, S. et al. ErbB4 regulation of a thalamic reticular nucleus circuit for sensory choice. Nat. Neurosci. 18, 104–111 (2015).46.Yarden, Y. & Sliwkowski, M. X. Untangling the ErbB signalling community. Nat. Rev. Mol. Cell. Biol. 2, 127–137 (2001).47.Amelink, M. et al. Nervousness, melancholy and persona traits in extreme, prednisone-dependent bronchial asthma. Respir. Med. 108, 438–444 (2014).48.Ng, T. P., Chiam, P. C. & Kua, E. H. Psychological issues and bronchial asthma within the aged: a population-based research. Int. J. Geriatr. Psychiatry 22, 668–674 (2007).49.Tombaugh, T. N. & McIntyre, N. J. The Mini-Psychological State Examination: a complete evaluate. J. Am. Geriatr. Soc. 40, 922–935 (1992).50.Enright, P. L., Kronmal, R. A., Manolio, T. A., Schenker, M. B. & Hyatt, R. E. Respiratory muscle power within the aged. Am. J. Respir. Crit. Care Med. 149, 430–438 (1994).51.Knudson, R. J., Lebowitz, M. D., Holberg, C. J. & Burrows, B. Adjustments within the regular maximal expiratory stream quantity curve with development and getting older. Am. Rev. Respir. Dis. 127, 725–734 (1983).52.Agarwal, S. & Busse, P. J. Innate and adaptive immunosenescence. Ann. Allergy Bronchial asthma Immunol. 104, 183–190 (2010).53.Kopel, S. J. et al. Bronchial asthma symptom notion and weight problems in youngsters. Biol. Psychol. 84, 135–141 (2010).54.Douet, V., Chang, L., Lee, Ok. & Ernst, T. Pediatric Imaging, Neurocognition, and Genetics (PING) Consortium. ERBB4 polymorphism and household historical past of psychiatric issues on age-related cortical modifications in wholesome youngsters. Mind Imag. Behav. 9, 128–140 (2015).55.Chow, M. L. et al. Age-dependent mind gene expression and duplicate quantity anomalies in autism recommend distinct pathological processes at younger versus mature ages. PLoS Genet. eight, e1002592 (2012).56.Lin, P. I., Vance, J. M., Pericak-Vance, M. A. & Martin, E. R. No gene is an island: the flip-flop phenomenon. Am. J. Hum. Genet. 80, 531–538 (2007).57.Sleiman, P. M. et al. Variants of DENND1B related to bronchial asthma in youngsters. N. Engl. J. Med. 362, 36–44 (2010).58.Regulation, A. J., Kleinman, J. E., Weinberger, D. R. & Weickert, C. S. Illness-associated intronic variants within the ErbB4 gene are associated to altered ErbB4 splice-variant expression within the mind in schizophrenia. Hum. Mol. Genet. 16, 129–141 (2007).

LEAVE A REPLY

Please enter your comment!
Please enter your name here