Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: article i nfo Combining datasets across independent studies can boost statistical por by increasing the numbers of obser- vations and can achieve more accurate estimates of effect sizes. This is especially important for genetic studies where a large number of observations are required to obtain sufficient por to detect and replicate genetic ef- fects. There is a need to develop and evaluate methods for joint-analytical analyses of rich datasets collected in imaging genetics studies. The ENIGMA-DTI consortium is developing and evaluating approaches for obtaining pooled estimates of heritability through meta-and mega-genetic analytical approaches, to estimate the general additive genetic contributions to the intersubject variance in fractional anisotropy (FA) measured from diffusion tensor imaging (DTI).  used the ENIGMA-DTI data harmonization protocol for uniform processing of DTI data from multiple sites.  evaluated this protocol in five family-based cohorts providing data from a total of 2248 childrenandadults(ages:9-85)collectedwithvariousimagingprotocols. usedtheimaginggeneticsanalysis tool, SOLAR-Eclipse, to combine twinand familydata from Dutch, Australian andMexican-American cohorts into
['Peter Kochunov', 'Neda Jahanshad', 'Emma Sprooten', 'Thomas E. Nichols', 'René C.W. Mandl', 'Laura Almasy', 'Tom Booth', 'Rachel M. Brouwer', 'Joanne E. Curran', 'Greig I. de Zubicaray', 'Rali Dimitrova', 'Ravi Duggirala', 'Peter T. Fox', 'L. Elliot Hong', 'Bennett A. Landman', 'Herve Lemaitre', 'Lorna M. Lopez', 'Nicholas G. Martin', 'Katie L. McMahon', 'Braxton D. Mitchell', 'Rene L. Olvera', 'Charles P. Peterson', 'John M. Starr', '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', 'Eco J.C. de Geus', 'Ian J. Deary', 'Hilleke E. Hulshoff Pol', 'Douglas E. Williamson', 'John Blangero', 'Dennis van ‘t Ent', 'Paul M. Thompson', 'David C. Glahn']
I am writing a research paper on a idea Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: comparing meta and megaanalytical approaches for data pooling
[{"from": "human", "value": "I am writing a research paper on a idea Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: comparing meta and megaanalytical approaches for data pooling"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: article i nfo Combining datasets across independent studies can boost statistical por by increasing the numbers of obser- vations and can achieve more accurate estimates of effect sizes. This is especially important for genetic studies where a large number of observations are required to obtain sufficient por to detect and replicate genetic ef- fects. There is a need to develop and evaluate methods for joint-analytical analyses of rich datasets collected in imaging genetics studies. The ENIGMA-DTI consortium is developing and evaluating approaches for obtaining pooled estimates of heritability through meta-and mega-genetic analytical approaches, to estimate the general additive genetic contributions to the intersubject variance in fractional anisotropy (FA) measured from diffusion tensor imaging (DTI).  used the ENIGMA-DTI data harmonization protocol for uniform processing of DTI data from multiple sites.  evaluated this protocol in five family-based cohorts providing data from a total of 2248 childrenandadults(ages:9-85)collectedwithvariousimagingprotocols. usedtheimaginggeneticsanalysis tool, SOLAR-Eclipse, to combine twinand familydata from Dutch, Australian andMexican-American cohorts into"}]