A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis

Sadia Akter; Gil Wilshire; J. Wade Davis; John Bromfield; Sarah Crowder; Trupti Joshi; Katherine Pelch; Danny J. Schust; Angela Meng; Bret Barrier; Susan C. Nagel

doi:10.1109/BIBM.2017.8218003

A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis

Sadia Akter, Gil Wilshire, J. Wade Davis, John Bromfield, Sarah Crowder, Trupti Joshi, Katherine Pelch, Danny J. Schust, Angela Meng, Bret Barrier, Susan C. Nagel

Biostatistics & Epidemiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Endometriosis is a complex gynecological disorder. The diagnostic process of endometriosis involves an invasive procedure thus delaying the diagnosis for about 10 years on average. Both DNA-methylation data and RNA-seq data has the potential to uncover molecular mechanisms of diseases. The objective of this project is to identify diagnostic molecular mechanisms of endometriosis using a multi-omics approach that will lead to noninvasive diagnostic procedure.

Original language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Editors	Illhoi Yoo, Jane Huiru Zheng, Yang Gong, Xiaohua Tony Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Dmitry Korkin
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2221-2223
Number of pages	3
ISBN (Electronic)	9781509030491
DOIs	https://doi.org/10.1109/BIBM.2017.8218003
State	Published - 15 Dec 2017
Event	2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, United States Duration: 13 Nov 2017 → 16 Nov 2017

Publication series

Name	Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Volume	2017-January

Conference

Conference	2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Country	United States
City	Kansas City
Period	13/11/17 → 16/11/17

Keywords

endometriosis
methylation
multi-omics
RNA-Seq

Access to Document

10.1109/BIBM.2017.8218003

Link to publication in Scopus

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Akter, S., Wilshire, G., Davis, J. W., Bromfield, J., Crowder, S., Joshi, T., Pelch, K., Schust, D. J., Meng, A., Barrier, B., & Nagel, S. C. (2017). A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. In I. Yoo, J. H. Zheng, Y. Gong, X. T. Hu, C-R. Shyu, Y. Bromberg, J. Gao, & D. Korkin (Eds.), Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 (pp. 2221-2223). (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2017.8218003

Akter, Sadia ; Wilshire, Gil ; Davis, J. Wade ; Bromfield, John ; Crowder, Sarah ; Joshi, Trupti ; Pelch, Katherine ; Schust, Danny J. ; Meng, Angela ; Barrier, Bret ; Nagel, Susan C. / A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. editor / Illhoi Yoo ; Jane Huiru Zheng ; Yang Gong ; Xiaohua Tony Hu ; Chi-Ren Shyu ; Yana Bromberg ; Jean Gao ; Dmitry Korkin. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2221-2223 (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017).

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abstract = "Endometriosis is a complex gynecological disorder. The diagnostic process of endometriosis involves an invasive procedure thus delaying the diagnosis for about 10 years on average. Both DNA-methylation data and RNA-seq data has the potential to uncover molecular mechanisms of diseases. The objective of this project is to identify diagnostic molecular mechanisms of endometriosis using a multi-omics approach that will lead to noninvasive diagnostic procedure.",

keywords = "endometriosis, methylation, multi-omics, RNA-Seq",

author = "Sadia Akter and Gil Wilshire and Davis, {J. Wade} and John Bromfield and Sarah Crowder and Trupti Joshi and Katherine Pelch and Schust, {Danny J.} and Angela Meng and Bret Barrier and Nagel, {Susan C.}",

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Akter, S, Wilshire, G, Davis, JW, Bromfield, J, Crowder, S, Joshi, T, Pelch, K, Schust, DJ, Meng, A, Barrier, B & Nagel, SC 2017, A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. in I Yoo, JH Zheng, Y Gong, XT Hu, C-R Shyu, Y Bromberg, J Gao & D Korkin (eds), Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 2221-2223, 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, United States, 13/11/17. https://doi.org/10.1109/BIBM.2017.8218003

A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. / Akter, Sadia; Wilshire, Gil; Davis, J. Wade; Bromfield, John; Crowder, Sarah; Joshi, Trupti; Pelch, Katherine; Schust, Danny J.; Meng, Angela; Barrier, Bret; Nagel, Susan C.

Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. ed. / Illhoi Yoo; Jane Huiru Zheng; Yang Gong; Xiaohua Tony Hu; Chi-Ren Shyu; Yana Bromberg; Jean Gao; Dmitry Korkin. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2221-2223 (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Davis, J. Wade

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AU - Joshi, Trupti

AU - Pelch, Katherine

AU - Schust, Danny J.

AU - Meng, Angela

AU - Barrier, Bret

AU - Nagel, Susan C.

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AB - Endometriosis is a complex gynecological disorder. The diagnostic process of endometriosis involves an invasive procedure thus delaying the diagnosis for about 10 years on average. Both DNA-methylation data and RNA-seq data has the potential to uncover molecular mechanisms of diseases. The objective of this project is to identify diagnostic molecular mechanisms of endometriosis using a multi-omics approach that will lead to noninvasive diagnostic procedure.

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Akter S, Wilshire G, Davis JW, Bromfield J, Crowder S, Joshi T et al. A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. In Yoo I, Zheng JH, Gong Y, Hu XT, Shyu C-R, Bromberg Y, Gao J, Korkin D, editors, Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2221-2223. (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017). https://doi.org/10.1109/BIBM.2017.8218003