Synopsis of preterm birth genetic association studies: The preterm birth genetics knowledge base (PTBGene)

S. M. Dolan; M. V. Hollegaard; M. Merialdi; A. P. Betran; T. Allen; C. Abelow; J. Nace; B. K. Lin; M. J. Khoury; J. P.A. Ioannidis; S. Bagade; X. Zheng; R. A. Dubin; L. Bertram; D. R. Velez Edwards; R. Menon

doi:10.1159/000294202

Synopsis of preterm birth genetic association studies: The preterm birth genetics knowledge base (PTBGene)

S. M. Dolan, M. V. Hollegaard, M. Merialdi, A. P. Betran, T. Allen, C. Abelow, J. Nace, B. K. Lin, M. J. Khoury, J. P.A. Ioannidis, S. Bagade, X. Zheng, R. A. Dubin, L. Bertram, D. R. Velez Edwards, R. Menon

Research output: Contribution to journal › Article › peer-review

54 Scopus citations

Abstract

Aim: Our goal wasto produce a field synopsis of genetic associations with preterm birth and to set up a publicly available online database summarizing the data. Methods: We performed a systematic review and meta-analyses to identify genetic associations with preterm birth. We have set up a publicly available online database of genetic association data on preterm birth called PTBGene (http://ric.einstein.yu.edu/ptbgene/index.html) and report on a structured synopsis thereof as of December 1, 2008. Results: Data on 189 polymorphisms in 84 genes have been included and 36 meta-analyses have been performed. Five gene variants (4 in maternal DNA, one in newborn DNA) have shown nominally significant associations, but all have weak epidemiological credibility. Conclusion: After publishing this field synopsis, the PTBGene database will be regularly updated to keep track of the evolving evidence base of genetic factors in preterm birth with the goal of promoting knowledge sharing and multicenter collaboration among preterm birth research groups.

Original language	English (US)
Pages (from-to)	514-523
Number of pages	10
Journal	Public Health Genomics
Volume	13
Issue number	7-8
DOIs	https://doi.org/10.1159/000294202
State	Published - Dec 2010

Keywords

HuGE review
Meta-analysis
Prematurity
Preterm birth
Systematic review

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health
Genetics(clinical)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1159/000294202

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Dolan, S. M., Hollegaard, M. V., Merialdi, M., Betran, A. P., Allen, T., Abelow, C., Nace, J., Lin, B. K., Khoury, M. J., Ioannidis, J. P. A., Bagade, S., Zheng, X., Dubin, R. A., Bertram, L., Velez Edwards, D. R., & Menon, R. (2010). Synopsis of preterm birth genetic association studies: The preterm birth genetics knowledge base (PTBGene). Public Health Genomics, 13(7-8), 514-523. https://doi.org/10.1159/000294202

Dolan, SM, Hollegaard, MV, Merialdi, M, Betran, AP, Allen, T, Abelow, C, Nace, J, Lin, BK, Khoury, MJ, Ioannidis, JPA, Bagade, S, Zheng, X, Dubin, RA, Bertram, L, Velez Edwards, DR & Menon, R 2010, 'Synopsis of preterm birth genetic association studies: The preterm birth genetics knowledge base (PTBGene)', Public Health Genomics, vol. 13, no. 7-8, pp. 514-523. https://doi.org/10.1159/000294202

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abstract = "Aim: Our goal wasto produce a field synopsis of genetic associations with preterm birth and to set up a publicly available online database summarizing the data. Methods: We performed a systematic review and meta-analyses to identify genetic associations with preterm birth. We have set up a publicly available online database of genetic association data on preterm birth called PTBGene (http://ric.einstein.yu.edu/ptbgene/index.html) and report on a structured synopsis thereof as of December 1, 2008. Results: Data on 189 polymorphisms in 84 genes have been included and 36 meta-analyses have been performed. Five gene variants (4 in maternal DNA, one in newborn DNA) have shown nominally significant associations, but all have weak epidemiological credibility. Conclusion: After publishing this field synopsis, the PTBGene database will be regularly updated to keep track of the evolving evidence base of genetic factors in preterm birth with the goal of promoting knowledge sharing and multicenter collaboration among preterm birth research groups.",

keywords = "HuGE review, Meta-analysis, Prematurity, Preterm birth, Systematic review",

author = "Dolan, {S. M.} and Hollegaard, {M. V.} and M. Merialdi and Betran, {A. P.} and T. Allen and C. Abelow and J. Nace and Lin, {B. K.} and Khoury, {M. J.} and Ioannidis, {J. P.A.} and S. Bagade and X. Zheng and Dubin, {R. A.} and L. Bertram and {Velez Edwards}, {D. R.} and R. Menon",

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doi = "10.1159/000294202",

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AU - Dolan, S. M.

AU - Hollegaard, M. V.

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AU - Betran, A. P.

AU - Allen, T.

AU - Abelow, C.

AU - Nace, J.

AU - Lin, B. K.

AU - Khoury, M. J.

AU - Ioannidis, J. P.A.

AU - Bagade, S.

AU - Zheng, X.

AU - Dubin, R. A.

AU - Bertram, L.

AU - Velez Edwards, D. R.

AU - Menon, R.

PY - 2010/12

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N2 - Aim: Our goal wasto produce a field synopsis of genetic associations with preterm birth and to set up a publicly available online database summarizing the data. Methods: We performed a systematic review and meta-analyses to identify genetic associations with preterm birth. We have set up a publicly available online database of genetic association data on preterm birth called PTBGene (http://ric.einstein.yu.edu/ptbgene/index.html) and report on a structured synopsis thereof as of December 1, 2008. Results: Data on 189 polymorphisms in 84 genes have been included and 36 meta-analyses have been performed. Five gene variants (4 in maternal DNA, one in newborn DNA) have shown nominally significant associations, but all have weak epidemiological credibility. Conclusion: After publishing this field synopsis, the PTBGene database will be regularly updated to keep track of the evolving evidence base of genetic factors in preterm birth with the goal of promoting knowledge sharing and multicenter collaboration among preterm birth research groups.

AB - Aim: Our goal wasto produce a field synopsis of genetic associations with preterm birth and to set up a publicly available online database summarizing the data. Methods: We performed a systematic review and meta-analyses to identify genetic associations with preterm birth. We have set up a publicly available online database of genetic association data on preterm birth called PTBGene (http://ric.einstein.yu.edu/ptbgene/index.html) and report on a structured synopsis thereof as of December 1, 2008. Results: Data on 189 polymorphisms in 84 genes have been included and 36 meta-analyses have been performed. Five gene variants (4 in maternal DNA, one in newborn DNA) have shown nominally significant associations, but all have weak epidemiological credibility. Conclusion: After publishing this field synopsis, the PTBGene database will be regularly updated to keep track of the evolving evidence base of genetic factors in preterm birth with the goal of promoting knowledge sharing and multicenter collaboration among preterm birth research groups.

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KW - Systematic review

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Synopsis of preterm birth genetic association studies: The preterm birth genetics knowledge base (PTBGene)

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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