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Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome). / Glotov, Andrey S.; Tiys, Evgeny S.; Vashukova, Elena S.; Pakin, Vladimir S.; Demenkov, Pavel S.; Saik, Olga V.; Ivanisenko, Тimofey V.; Arzhanova, Olga N.; Mozgovaya, Elena V.; Zainulina, Marina S.; Kolchanov, Nikolay A.; Baranov, Vladislav S.; Ivanisenko, Vladimir A.

в: BMC Systems Biology, Том 9, № Supplement 2, 2015, стр. 1-12.

Результаты исследований: Научные публикации в периодических изданиях › статья

Harvard

Glotov, AS, Tiys, ES, Vashukova, ES, Pakin, VS, Demenkov, PS, Saik, OV, Ivanisenko, ТV, Arzhanova, ON, Mozgovaya, EV, Zainulina, MS, Kolchanov, NA, Baranov, VS & Ivanisenko, VA 2015, 'Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome)', BMC Systems Biology, Том. 9, № Supplement 2, стр. 1-12. https://doi.org/10.1186/1752-0509-9-S2-S4

APA

Glotov, A. S., Tiys, E. S., Vashukova, E. S., Pakin, V. S., Demenkov, P. S., Saik, O. V., Ivanisenko, Т. V., Arzhanova, O. N., Mozgovaya, E. V., Zainulina, M. S., Kolchanov, N. A., Baranov, V. S., & Ivanisenko, V. A. (2015). Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome). BMC Systems Biology, 9(Supplement 2), 1-12. https://doi.org/10.1186/1752-0509-9-S2-S4

Vancouver

Glotov AS, Tiys ES, Vashukova ES, Pakin VS, Demenkov PS, Saik OV и пр. Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome). BMC Systems Biology. 2015;9(Supplement 2):1-12. https://doi.org/10.1186/1752-0509-9-S2-S4

Author

Glotov, Andrey S. ; Tiys, Evgeny S. ; Vashukova, Elena S. ; Pakin, Vladimir S. ; Demenkov, Pavel S. ; Saik, Olga V. ; Ivanisenko, Тimofey V. ; Arzhanova, Olga N. ; Mozgovaya, Elena V. ; Zainulina, Marina S. ; Kolchanov, Nikolay A. ; Baranov, Vladislav S. ; Ivanisenko, Vladimir A. / Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome). в: BMC Systems Biology. 2015 ; Том 9, № Supplement 2. стр. 1-12.

BibTeX

@article{fa5921fc3ee7471eacc6a4953621bc15,
title = "Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome)",
abstract = "Background Pre-eclampsia is the most common complication occurring during pregnancy. In the majority of cases, it is concurrent with other pathologies in a comorbid manner (frequent co-occurrences in patients), such as diabetes mellitus, gestational diabetes and obesity. Providing bronchial asthma, pulmonary tuberculosis, certain neurodegenerative diseases and cancers as examples, we have shown previously that pairs of inversely comorbid pathologies (rare co-occurrences in patients) are more closely related to each other at the molecular genetic level compared with randomly generated pairs of diseases. Data in the literature concerning the causes of pre-eclampsia are abundant. However, the key mechanisms triggering this disease that are initiated by other pathological processes are thus far unknown. The aim of this work was to analyse the characteristic features of genetic networks that describe interactions between comorbid diseases, using pre-eclampsia as a case in point. Results The use of ANDSystem, Pathw",
keywords = "automated text analysis, text-mining, ANDSystem, associative networks, disease associome, pre-eclampsia, diabetes mellitus, gestational diabetes, obesity.",
author = "Glotov, {Andrey S.} and Tiys, {Evgeny S.} and Vashukova, {Elena S.} and Pakin, {Vladimir S.} and Demenkov, {Pavel S.} and Saik, {Olga V.} and Ivanisenko, {Тimofey V.} and Arzhanova, {Olga N.} and Mozgovaya, {Elena V.} and Zainulina, {Marina S.} and Kolchanov, {Nikolay A.} and Baranov, {Vladislav S.} and Ivanisenko, {Vladimir A.}",
year = "2015",
doi = "10.1186/1752-0509-9-S2-S4",
language = "English",
volume = "9",
pages = "1--12",
journal = "BMC Systems Biology",
issn = "1752-0509",
publisher = "BioMed Central Ltd.",
number = "Supplement 2",

}

RIS

TY - JOUR

T1 - Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome)

AU - Glotov, Andrey S.

AU - Tiys, Evgeny S.

AU - Vashukova, Elena S.

AU - Pakin, Vladimir S.

AU - Demenkov, Pavel S.

AU - Saik, Olga V.

AU - Ivanisenko, Тimofey V.

AU - Arzhanova, Olga N.

AU - Mozgovaya, Elena V.

AU - Zainulina, Marina S.

AU - Kolchanov, Nikolay A.

AU - Baranov, Vladislav S.

AU - Ivanisenko, Vladimir A.

PY - 2015

Y1 - 2015

N2 - Background Pre-eclampsia is the most common complication occurring during pregnancy. In the majority of cases, it is concurrent with other pathologies in a comorbid manner (frequent co-occurrences in patients), such as diabetes mellitus, gestational diabetes and obesity. Providing bronchial asthma, pulmonary tuberculosis, certain neurodegenerative diseases and cancers as examples, we have shown previously that pairs of inversely comorbid pathologies (rare co-occurrences in patients) are more closely related to each other at the molecular genetic level compared with randomly generated pairs of diseases. Data in the literature concerning the causes of pre-eclampsia are abundant. However, the key mechanisms triggering this disease that are initiated by other pathological processes are thus far unknown. The aim of this work was to analyse the characteristic features of genetic networks that describe interactions between comorbid diseases, using pre-eclampsia as a case in point. Results The use of ANDSystem, Pathw

AB - Background Pre-eclampsia is the most common complication occurring during pregnancy. In the majority of cases, it is concurrent with other pathologies in a comorbid manner (frequent co-occurrences in patients), such as diabetes mellitus, gestational diabetes and obesity. Providing bronchial asthma, pulmonary tuberculosis, certain neurodegenerative diseases and cancers as examples, we have shown previously that pairs of inversely comorbid pathologies (rare co-occurrences in patients) are more closely related to each other at the molecular genetic level compared with randomly generated pairs of diseases. Data in the literature concerning the causes of pre-eclampsia are abundant. However, the key mechanisms triggering this disease that are initiated by other pathological processes are thus far unknown. The aim of this work was to analyse the characteristic features of genetic networks that describe interactions between comorbid diseases, using pre-eclampsia as a case in point. Results The use of ANDSystem, Pathw

KW - automated text analysis

KW - text-mining

KW - ANDSystem

KW - associative networks

KW - disease associome

KW - pre-eclampsia

KW - diabetes mellitus

KW - gestational diabetes

KW - obesity.

U2 - 10.1186/1752-0509-9-S2-S4

DO - 10.1186/1752-0509-9-S2-S4

M3 - Article

VL - 9

SP - 1

EP - 12

JO - BMC Systems Biology

JF - BMC Systems Biology

SN - 1752-0509

IS - Supplement 2

ER -

ID: 5757320