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      KCI등재 SCOPUS SCIE

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

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      https://www.riss.kr/link?id=A105480584

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      다국어 초록 (Multilingual Abstract)

      It is well known that depression is associated with asthma symptoms. We assessed the combined effects of genetic factors and depression on asthma symptom severity using Bayesian network (BN) analysis. The common 100 topranked single-nucleotide polymorphisms (SNPs) were obtained from two genome-wide association studies of symptom severity in two childhood asthmatics trials (CAMP (Childhood Asthma Management Program) and CARE (Childhood Asthma Research and Education)). Using SNPs plus five discretized variables (depression, anxiety, age, sex, and race), we performed BN analysis in 529 CAMP subjects. We identified two nodes (depression and rs4672619 mapping to ERBB4 (Erb-B2 receptor tyrosine kinase 4)) that were within the Markov neighborhood of the symptom node in the network and then evaluated the interactive effects of depressive status and rs4672619 genotypes on asthma symptom severity. In childhood asthmatics with homozygous reference alleles, severe depression was related to less severe symptoms. However, in childhood asthmatics with heterozygous alleles and homozygous variant alleles, depression and symptom severity showed a positive correlation (interaction permutation P value = 0.019). We then tried to evaluate whether the interactive effects that we found were sustained in another independent cohort of elderly asthmatics. Contrary to the findings from childhood asthmatics, elderly asthmatics with homozygous reference alleles showed a positive correlation between depression and symptom severity, and elderly asthmatics with heterozygous alleles and homozygous variant alleles showed a negative correlation (interaction permutation P value = 0.003). In conclusion, we have identified a novel SNP, rs4672619, that shows interactive effe
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      It is well known that depression is associated with asthma symptoms. We assessed the combined effects of genetic factors and depression on asthma symptom severity using Bayesian network (BN) analysis. The common 100 topranked single-nucleotide polymor...

      It is well known that depression is associated with asthma symptoms. We assessed the combined effects of genetic factors and depression on asthma symptom severity using Bayesian network (BN) analysis. The common 100 topranked single-nucleotide polymorphisms (SNPs) were obtained from two genome-wide association studies of symptom severity in two childhood asthmatics trials (CAMP (Childhood Asthma Management Program) and CARE (Childhood Asthma Research and Education)). Using SNPs plus five discretized variables (depression, anxiety, age, sex, and race), we performed BN analysis in 529 CAMP subjects. We identified two nodes (depression and rs4672619 mapping to ERBB4 (Erb-B2 receptor tyrosine kinase 4)) that were within the Markov neighborhood of the symptom node in the network and then evaluated the interactive effects of depressive status and rs4672619 genotypes on asthma symptom severity. In childhood asthmatics with homozygous reference alleles, severe depression was related to less severe symptoms. However, in childhood asthmatics with heterozygous alleles and homozygous variant alleles, depression and symptom severity showed a positive correlation (interaction permutation P value = 0.019). We then tried to evaluate whether the interactive effects that we found were sustained in another independent cohort of elderly asthmatics. Contrary to the findings from childhood asthmatics, elderly asthmatics with homozygous reference alleles showed a positive correlation between depression and symptom severity, and elderly asthmatics with heterozygous alleles and homozygous variant alleles showed a negative correlation (interaction permutation P value = 0.003). In conclusion, we have identified a novel SNP, rs4672619, that shows interactive effe

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      참고문헌 (Reference)

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      3 Heung-Woo Park, "Xenon ventilation computed tomography and the management of asthma in the elderly" Wiley 19 (19): 389-395, 2014

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      1 J. M. Gaffin, "β-2 Adrenergic receptor gene methylation is associated with decreased asthma severity in inner-city Schoolchildren" Wiley 44 (44): 681-689, 2014

      2 Wheeler B., "lmPerm:Permutational tests for linear models"

      3 Heung-Woo Park, "Xenon ventilation computed tomography and the management of asthma in the elderly" Wiley 19 (19): 389-395, 2014

      4 Patrick M.A. Sleiman, "Variants of DENND1B Associated with Asthma in Children" Massachusetts Medical Society 362 (362): 36-44, 2010

      5 Yosef Yarden, "Untangling the ErbB signalling network" Springer Nature 2 (2): 127-137, 2001

      6 Anja Hayen, "Understanding dyspnea as a complex individual experience" Elsevier BV 76 (76): 45-50, 2013

      7 Michael J. McGeachie, "The metabolomics of asthma control: a promising link between genetics and disease" Wiley 3 (3): 224-238, 2015

      8 Tom N. Tombaugh, "The Mini-Mental State Examination: A Comprehensive Review" Wiley 40 (40): 922-935, 1992

      9 Childhood Asthma Management Program Research Group, "The Childhood Asthma Management Program (CAMP)" Elsevier BV 20 (20): 91-120, 1999

      10 Beaumont, M. A., "The Bayesian revolution in genetics" 5 : 251-261, 2004

      11 Michael L. M. Murphy, "Targeted Rejection Predicts Decreased Anti-Inflammatory Gene Expression and Increased Symptom Severity in Youth With Asthma" SAGE Publications 26 (26): 111-121, 2015

      12 H. Lorrie Yoos, "Symptom Perception and Evaluation in Childhood Asthma" Ovid Technologies (Wolters Kluwer Health) 48 (48): 2-8, 1999

      13 Wolfgang Maier, "Schizophrenia and bipolar disorder: differences and overlaps" Ovid Technologies (Wolters Kluwer Health) 19 (19): 165-170, 2006

      14 Reynolds, C., "Revised Children's Manifest Anxiety Scale (RCMAS)" Western Psychological Services 1985

      15 P L Enright, "Respiratory muscle strength in the elderly. Correlates and reference values. Cardiovascular Health Study Research Group." American Thoracic Society 149 (149): 430-438, 1994

      16 L D Rimington, "Relationship between anxiety, depression, and morbidity in adult asthma patients" BMJ 56 (56): 266-271, 2001

      17 Kovacs, M., "Rating scales to assess depression in school aged children" 46 : 305-318, 1981

      18 Heung-Woo Park, "Prediction of Asthma Exacerbations in Elderly Adults: Results of a 1-Year Prospective Study" Wiley 61 (61): 1631-1632, 2013

      19 Blanca E Himes, "Predicting response to short-acting bronchodilator medication using Bayesian networks" Future Medicine Ltd 10 (10): 1393-1412, 2009

      20 McGeachie, M. J., "Predicting inhaled corticosteroid response in asthma with two associated SNPs" 13 : 306-311, 2013

      21 Mougey, E. B., "Pharmacogenetics of asthma controller treatment" 13 : 242-250, 2013

      22 Shaun Purcell, "PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses" Elsevier BV 81 (81): 559-575, 2007

      23 Ping-I Lin, "No Gene Is an Island: The Flip-Flop Phenomenon" Elsevier BV 80 (80): 531-538, 2007

      24 The National Asthma Education and Prevention Program (NAEPP), "National Asthma Education and Prevention Program Expert Panel Report 3: Guidelines for the Diagnosis and Management of Asthma 2007"

      25 Carole Ober, "Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations" Springer Nature 43 (43): 887-892, 2011

      26 Tze-Pin Ng, "Mental disorders and asthma in the elderly: a population-based study" Wiley 22 (22): 668-674, 2007

      27 Murphy, A., "Mapping of numerous disease-associated expression polymorphisms in primary peripheral blood CD4+ lymphocytes" 19 : 4745-4757, 2010

      28 Yun Li, "MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes" Wiley 34 (34): 816-834, 2010

      29 Christine A. Sorkness, "Long-term comparison of 3 controller regimens for mild-moderate persistent childhood asthma: The Pediatric Asthma Controller Trial" Elsevier BV 119 (119): 64-72, 2007

      30 Scutari, M., "Learning Bayesian networks with the bnlearn R package" 35 : 1-22, 2010

      31 Shradha Agarwal, "Innate and adaptive immunosenescence" Elsevier BV 104 (104): 183-190, 2010

      32 BRUCE D. MILLER, "Influence of Specific Emotional States on Autonomic Reactivity and Pulmonary Function in Asthmatic Children" Elsevier BV 36 (36): 669-677, 1997

      33 Katherine B. Ehrlich, "Harsh parent–child conflict is associated with decreased anti-inflammatory gene expression and increased symptom severity in children with asthma" Cambridge University Press (CUP) 27 (27): 1547-1554, 2015

      34 Blanca E. Himes, "Genome-wide Association Analysis Identifies PDE4D as an Asthma-Susceptibility Gene" Elsevier BV 84 (84): 581-593, 2009

      35 Heung-Woo Park, "Genetic predictors associated with improvement of asthma symptoms in response to inhaled corticosteroids" Elsevier BV 133 (133): 664-669.e5, 2014

      36 Marianne Z. Wamboldt, "Familial association between allergic disorders and depression in adult Finnish twins" Wiley 96 (96): 146-153, 2000

      37 Damien C. Croteau-Chonka, "Expression Quantitative Trait Loci Information Improves Predictive Modeling of Disease Relevance of Non-Coding Genetic Variation" Public Library of Science (PLoS) 10 (10): e0140758-, 2015

      38 Sandra Ahrens, "ErbB4 regulation of a thalamic reticular nucleus circuit for sensory selection" Springer Nature 18 (18): 104-111, 2015

      39 Vanessa Douet, "ERBB4 polymorphism and family history of psychiatric disorders on age-related cortical changes in healthy children" Springer Nature 9 (9): 128-140, 2015

      40 Nan Wang, "Downregulation of Neuregulin 1-ErbB4 Signaling in Parvalbumin Interneurons in the Rat Brain May Contribute to the Antidepressant Properties of Ketamine" Springer Nature 54 (54): 211-218, 2014

      41 Law, A. J., "Diseaseassociated intronic variants in the ErbB4 gene are related to altered ErbB4 splice-variant expression in the brain in schizophrenia" 16 : 129-141, 2007

      42 Bernice Ruo, "Depressive Symptoms and Health-Related Quality of Life" American Medical Association (AMA) 290 (290): 215-, 2003

      43 Evette J. Ludman, "Depression and diabetes symptom burden" Elsevier BV 26 (26): 430-436, 2004

      44 Friedman,N., "Data analysis with Bayesian networks: a Bootstrap approach" 206-215, 1999

      45 K.J. Farion, "Comparing predictions made by a prediction model, clinical score, and physicians" Georg Thieme Verlag KG 04 (04): 376-391, 2017

      46 Lilly Shanahan, "Children with Both Asthma and Depression Are at Risk for Heightened Inflammation" Elsevier BV 163 (163): 1443-1447, 2013

      47 Stanley J. Szefler, "Characterization of within-subject responses to fluticasone and montelukast in childhood asthma" Elsevier BV 115 (115): 233-242, 2005

      48 Knudson, R. J., "Changes in the normal maximal expiratory flow volume curve with growth and aging" 127 : 725-734, 1983

      49 Jennifer S. Shoemaker, "Bayesian statistics in genetics: a guide for the uninitiated" Elsevier BV 15 (15): 354-358, 1999

      50 Goldney, R. D, "Asthma symptoms associated with depression and lower quality of life: a population survey" 178 : 437-441, 2003

      51 Sheryl J. Kopel, "Asthma symptom perception and obesity in children" Elsevier BV 84 (84): 135-141, 2010

      52 Marijke Amelink, "Anxiety, depression and personality traits in severe, prednisone-dependent asthma" Elsevier BV 108 (108): 438-444, 2014

      53 C Janson, "Anxiety and depression in relation to respiratory symptoms and asthma." American Thoracic Society 149 (149): 930-934, 1994

      54 Ratnapinda, P., "An empirical evaluation of costs and benefits of simplifying Bayesian networks by removing weak arcs" 508-511, 2014

      55 Ghosh, J. K., "An Introduction to Bayesian Analysis Theory and Methods" Springer 2006

      56 Maggie L. Chow, "Age-Dependent Brain Gene Expression and Copy Number Anomalies in Autism Suggest Distinct Pathological Processes at Young Versus Mature Ages" Public Library of Science (PLoS) 8 (8): e1002592-, 2012

      57 James W Baurley, "A scalable, knowledge-based analysis framework for genetic association studies" Springer Nature 14 (14): 2013

      58 Ryan J. Van Lieshout, "A Review of Candidate Pathways Underlying the Association Between Asthma and Major Depressive Disorder" Ovid Technologies (Wolters Kluwer Health) 71 (71): 187-195, 2009

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2009-09-21 학회명변경 한글명 : 대한생화학ㆍ분자생물학회 -> 생화학분자생물학회
      영문명 : Korean Society Of Medical Biochemistry And Molecular Biology -> Korean Society Of Biochemistry And Molecular Biology
      KCI등재
      2008-01-01 평가 SCI 등재 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1998-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 3.74 0.23 2.56
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      1.82 1.45 0.555 0.01
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