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For: Gillenwater LA, Pratte KA, Hobbs BD, Cho MH, Zhuang Y, Halper-Stromberg E, Cruickshank-Quinn C, Reisdorph N, Petrache I, Labaki WW, O'Neal WK, Ortega VE, Jones DP, Uppal K, Jacobson S, Michelotti G, Wendt CH, Kechris KJ, Bowler RP. Plasma Metabolomic Signatures of Chronic Obstructive Pulmonary Disease and the Impact of Genetic Variants on Phenotype-Driven Modules. Netw Syst Med 2020;3:159-81. [PMID: 33987620 DOI: 10.1089/nsm.2020.0009] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Dasgupta S, Ghosh N, Bhattacharyya P, Roy Chowdhury S, Chaudhury K. Metabolomics of asthma, COPD, and asthma-COPD overlap: an overview. Crit Rev Clin Lab Sci 2023;60:153-70. [PMID: 36420874 DOI: 10.1080/10408363.2022.2140329] [Reference Citation Analysis]
2 Tiew PY, Meldrum OW, Chotirmall SH. Applying Next-Generation Sequencing and Multi-Omics in Chronic Obstructive Pulmonary Disease. IJMS 2023;24:2955. [DOI: 10.3390/ijms24032955] [Reference Citation Analysis]
3 Gea J, Enríquez-Rodríguez CJ, Pascual-Guardia S. Metabolomics in COPD. Arch Bronconeumol 2023:S0300-2896(23)00013-3. [PMID: 36717301 DOI: 10.1016/j.arbres.2022.12.018] [Reference Citation Analysis]
4 Moore A, Busch MP, Dziewulska K, Francis RO, Hod EA, Zimring JC, D'Alessandro A, Page GP. Genome-wide metabolite quantitative trait loci analysis (mQTL) in red blood cells from volunteer blood donors. J Biol Chem 2022;298:102706. [PMID: 36395887 DOI: 10.1016/j.jbc.2022.102706] [Reference Citation Analysis]
5 Gruzieva O, Jeong A, He S, Yu Z, de Bont J, Pinho MGM, Eze IC, Kress S, Wheelock CE, Peters A, Vlaanderen J, de Hoogh K, Scalbert A, Chadeau-Hyam M, Vermeulen RCH, Gehring U, Probst-Hensch N, Melén E. Air pollution, metabolites and respiratory health across the life-course. Eur Respir Rev 2022;31:220038. [PMID: 35948392 DOI: 10.1183/16000617.0038-2022] [Reference Citation Analysis]
6 Moore A, Busch MP, Dziewulska K, Francis RO, Hod EA, Zimring JC, D’alessandro A, Page GP. Genome-wide metabolite quantitative trait loci analysis (mQTL) in red blood cells from volunteer blood donors.. [DOI: 10.1101/2022.09.07.506936] [Reference Citation Analysis]
7 Godbole S, Bowler RP. Metabolome Features of COPD: A Scoping Review. Metabolites 2022;12. [PMID: 35888745 DOI: 10.3390/metabo12070621] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Dekermanjian JP, Shaddox E, Nandy D, Ghosh D, Kechris K. Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics. BMC Bioinformatics 2022;23:179. [PMID: 35578165 DOI: 10.1186/s12859-022-04659-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Godbole S, Labaki WW, Pratte KA, Hill A, Moll M, Hastie AT, Peters SP, Gregory A, Ortega VE, DeMeo D, Cho MH, Bhatt SP, Wells JM, Barjaktarevic I, Stringer KA, Comellas A, O'Neal W, Kechris K, Bowler RP. A Metabolomic Severity Score for Airflow Obstruction and Emphysema. Metabolites 2022;12. [PMID: 35629872 DOI: 10.3390/metabo12050368] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Barupal DK, Mahajan P, Fakouri-Baygi S, Wright RO, Arora M, Teitelbaum SL. CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets. Environ Int 2022;164:107240. [PMID: 35461097 DOI: 10.1016/j.envint.2022.107240] [Reference Citation Analysis]
11 E.d. M, N.a. M. COMPARATIVE RISK-ORIENTED INTEGRATED ASSESSMENT OF LUNG HEALTH STATUS IN PREVENTIVE PLANNING OF REHABILITATION TREATMENT PROGRAMS IN A SANATORIUM. Vestnik "Biomedicina i sociologiya" 2022. [DOI: 10.26787/nydha-2618-8783-2022-7-1-76-87] [Reference Citation Analysis]
12 Barupal DK, Mahajan P, Baygi SF, Wright RO, Arora M, Teitelbaum SL. IDSL.CCDB: a database for exploring inter-chemical correlations in metabolomics and exposomics datasets.. [DOI: 10.1101/2022.02.01.478739] [Reference Citation Analysis]
13 Carpenter CM, Zhang W, Gillenwater L, Severn C, Ghosh T, Bowler R, Kechris K, Ghosh D. PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes. PLoS Comput Biol 2021;17:e1008986. [PMID: 34679079 DOI: 10.1371/journal.pcbi.1008986] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 Carpenter CM, Zhang W, Gillenwater L, Severn C, Ghosh T, Bowler R, Kechris K, Ghosh D. PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes.. [DOI: 10.1101/2021.04.23.440821] [Reference Citation Analysis]