Combining Meta- and mega-analytic approaches for multi-site diffusion imaging based genetic studies: From the enigma-DTI working group

Neda Jahanshad; Peter Kochunov; Thomas E. Nichols; Emma Sprooten; René C. Mandl; Laura A Almasy; Rachel M. Brouwer; Joanne E Curran; Greig I. De Zubicaray; Rali Dimitrova; Peter T. Fox; L. Elliot Hong; Bennett A. Landman; Hervé Lemaitre; Lorna Lopez; Nicholas G. Martin; Katie L. McMahon; Braxton D. Mitchell; Rene L. Olvera; Charles P. Peterson; Jessika E. Sussmann; Arthur W. Toga; Joanna M. Wardlaw; Margaret J. Wright; Susan N. Wright; Mark E. Bastin; Andrew M. McIntosh; Dorret I. Boomsma; René S. Kahn; Anouk Den Braber; Ian J. Deary; Hilleke E.Hulshoff Pol; Douglas E Williamson; John C Blangero; Dennis Van't Ent; David C. Glahn; Paul M. Thompson

doi:10.1109/isbi.2014.6868099

Combining Meta- and mega-analytic approaches for multi-site diffusion imaging based genetic studies: From the enigma-DTI working group

Neda Jahanshad, Peter Kochunov, Thomas E. Nichols, Emma Sprooten, René C. Mandl, Laura A Almasy, Rachel M. Brouwer, Joanne E Curran, Greig I. De Zubicaray, Rali Dimitrova, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Hervé Lemaitre, Lorna Lopez, Nicholas G. Martin, Katie L. McMahon, Braxton D. Mitchell, Rene L. Olvera, Charles P. PetersonJessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Susan N. Wright, Mark E. Bastin, Andrew M. McIntosh, Dorret I. Boomsma, René S. Kahn, Anouk Den Braber, Ian J. Deary, Hilleke E.Hulshoff Pol, Douglas E Williamson, John C Blangero, Dennis Van't Ent, David C. Glahn, Paul M. Thompson

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

2 Scopus citations

Abstract

Meta-analyses estimate a statistical effect size for a test or an analysis by combining results from multiple studies without necessarily having access to each individual study's raw data. Multi-site meta-analysis is crucial for imaging genetics, as single sites rarely have a sample size large enough to pick up effects of single genetic variants associated with brain measures. However, if raw data can be shared, combining data in a "mega-analysis" is thought to improve power and precision in estimating global effects. As part of an ENIGMA-DTI investigation, we use fractional anisotropy (FA) maps from 5 studies (total N=2, 203 subjects, aged 9-85) to estimate heritability. We combine the studies through meta-and mega-analyses as well as a mixture of the two - combining some cohorts with mega-analysis and meta-analyzing the results with those of the remaining sites. A combination of mega-and meta-approaches may boost power compared to meta-analysis alone.

Original language	English (US)
Title of host publication	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1234-1238
Number of pages	5
ISBN (Electronic)	9781467319591
DOIs	https://doi.org/10.1109/isbi.2014.6868099
State	Published - Jul 29 2014
Event	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China Duration: Apr 29 2014 → May 2 2014

Publication series

Name	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Other

Other	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/Territory	China
City	Beijing
Period	4/29/14 → 5/2/14

Keywords

DTI
ENIGMA
Heritability
Imaging genetics
Mega-analysis
Meta-analysis
Multi-site

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/isbi.2014.6868099

Cite this

Jahanshad, N., Kochunov, P., Nichols, T. E., Sprooten, E., Mandl, R. C., Almasy, L. A., Brouwer, R. M., Curran, J. E., De Zubicaray, G. I., Dimitrova, R., Fox, P. T., Hong, L. E., Landman, B. A., Lemaitre, H., Lopez, L., Martin, N. G., McMahon, K. L., Mitchell, B. D., Olvera, R. L., ... Thompson, P. M. (2014). Combining Meta- and mega-analytic approaches for multi-site diffusion imaging based genetic studies: From the enigma-DTI working group. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 1234-1238). Article 6868099 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/isbi.2014.6868099

Combining Meta- and mega-analytic approaches for multi-site diffusion imaging based genetic studies: From the enigma-DTI working group. / Jahanshad, Neda; Kochunov, Peter; Nichols, Thomas E. et al.
2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1234-1238 6868099 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

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

Jahanshad, N, Kochunov, P, Nichols, TE, Sprooten, E, Mandl, RC, Almasy, LA, Brouwer, RM, Curran, JE, De Zubicaray, GI, Dimitrova, R, Fox, PT, Hong, LE, Landman, BA, Lemaitre, H, Lopez, L, Martin, NG, McMahon, KL, Mitchell, BD, Olvera, RL, Peterson, CP, Sussmann, JE, Toga, AW, Wardlaw, JM, Wright, MJ, Wright, SN, Bastin, ME, McIntosh, AM, Boomsma, DI, Kahn, RS, Den Braber, A, Deary, IJ, Pol, HEH, Williamson, DE, Blangero, JC, Van't Ent, D, Glahn, DC & Thompson, PM 2014, Combining Meta- and mega-analytic approaches for multi-site diffusion imaging based genetic studies: From the enigma-DTI working group. in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014., 6868099, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 1234-1238, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Beijing, China, 4/29/14. https://doi.org/10.1109/isbi.2014.6868099

Jahanshad N, Kochunov P, Nichols TE, Sprooten E, Mandl RC, Almasy LA et al. Combining Meta- and mega-analytic approaches for multi-site diffusion imaging based genetic studies: From the enigma-DTI working group. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1234-1238. 6868099. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). doi: 10.1109/isbi.2014.6868099

Jahanshad, Neda ; Kochunov, Peter ; Nichols, Thomas E. et al. / Combining Meta- and mega-analytic approaches for multi-site diffusion imaging based genetic studies : From the enigma-DTI working group. 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1234-1238 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

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abstract = "Meta-analyses estimate a statistical effect size for a test or an analysis by combining results from multiple studies without necessarily having access to each individual study's raw data. Multi-site meta-analysis is crucial for imaging genetics, as single sites rarely have a sample size large enough to pick up effects of single genetic variants associated with brain measures. However, if raw data can be shared, combining data in a {"}mega-analysis{"} is thought to improve power and precision in estimating global effects. As part of an ENIGMA-DTI investigation, we use fractional anisotropy (FA) maps from 5 studies (total N=2, 203 subjects, aged 9-85) to estimate heritability. We combine the studies through meta-and mega-analyses as well as a mixture of the two - combining some cohorts with mega-analysis and meta-analyzing the results with those of the remaining sites. A combination of mega-and meta-approaches may boost power compared to meta-analysis alone.",

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author = "Neda Jahanshad and Peter Kochunov and Nichols, \{Thomas E.\} and Emma Sprooten and Mandl, \{Ren{\'e} C.\} and Almasy, \{Laura A\} and Brouwer, \{Rachel M.\} and Curran, \{Joanne E\} and \{De Zubicaray\}, \{Greig I.\} and Rali Dimitrova and Fox, \{Peter T.\} and Hong, \{L. Elliot\} and Landman, \{Bennett A.\} and Herv{\'e} Lemaitre and Lorna Lopez and Martin, \{Nicholas G.\} and McMahon, \{Katie L.\} and Mitchell, \{Braxton D.\} and Olvera, \{Rene L.\} and Peterson, \{Charles P.\} and Sussmann, \{Jessika E.\} and Toga, \{Arthur W.\} and Wardlaw, \{Joanna M.\} and Wright, \{Margaret J.\} and Wright, \{Susan N.\} and Bastin, \{Mark E.\} and McIntosh, \{Andrew M.\} and Boomsma, \{Dorret I.\} and Kahn, \{Ren{\'e} S.\} and \{Den Braber\}, Anouk and Deary, \{Ian J.\} and Pol, \{Hilleke E.Hulshoff\} and Williamson, \{Douglas E\} and Blangero, \{John C\} and \{Van't Ent\}, Dennis and Glahn, \{David C.\} and Thompson, \{Paul M.\}",

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Combining Meta- and mega-analytic approaches for multi-site diffusion imaging based genetic studies: From the enigma-DTI working group

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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