Literature DB >> 26538488

Heritability of complex white matter diffusion traits assessed in a population isolate.

Peter Kochunov1, Mao Fu2, Katie Nugent1, Susan N Wright1, Xiaoming Du1, Florian Muellerklein1, Mary Morrissey2, George Eskandar1, Dinesh K Shukla1, Neda Jahanshad3, Paul M Thompson3, Binish Patel1, Teodor T Postolache4, Kevin A Strauss5, Alan R Shuldiner2, Braxton D Mitchell2,6, L Elliot Hong1.   

Abstract

INTRODUCTION: Diffusion weighted imaging (DWI) methods can noninvasively ascertain cerebral microstructure by examining pattern and directions of water diffusion in the brain. We calculated heritability for DWI parameters in cerebral white (WM) and gray matter (GM) to study the genetic contribution to the diffusion signals across tissue boundaries.
METHODS: Using Old Order Amish (OOA) population isolate with large family pedigrees and high environmental homogeneity, we compared the heritability of measures derived from three representative DWI methods targeting the corpus callosum WM and cingulate gyrus GM: diffusion tensor imaging (DTI), the permeability-diffusivity (PD) model, and the neurite orientation dispersion and density imaging (NODDI) model. These successively more complex models represent the diffusion signal modeling using one, two, and three diffusion compartments, respectively.
RESULTS: We replicated the high heritability of the DTI-based fractional anisotropy (h(2)  = 0.67) and radial diffusivity (h(2)  = 0.72) in WM. High heritability in both WM and GM tissues were observed for the permeability-diffusivity index from the PD model (h(2)  = 0.64 and 0.84), and the neurite density from the NODDI model (h(2)  = 0.70 and 0.55). The orientation dispersion index from the NODDI model was only significantly heritable in GM (h(2)  = 0.68).
CONCLUSION: DWI measures from multicompartmental models were significantly heritable in WM and GM. DWI can offer valuable phenotypes for genetic research; and genes thus identified may reveal mechanisms contributing to mental and neurological disorders in which diffusion imaging anomalies are consistently found. Hum Brain Mapp 37:525-535, 2016.
© 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  DTI; DWI; genetics; heritability; imaging

Mesh:

Year:  2015        PMID: 26538488      PMCID: PMC4718876          DOI: 10.1002/hbm.23047

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  51 in total

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Authors:  David C Glahn; Paul M Thompson; John Blangero
Journal:  Hum Brain Mapp       Date:  2007-06       Impact factor: 5.038

2.  Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI.

Authors:  Thibo Billiet; Mathieu Vandenbulcke; Burkhard Mädler; Ronald Peeters; Thijs Dhollander; Hui Zhang; Sabine Deprez; Bea R H Van den Bergh; Stefan Sunaert; Louise Emsell
Journal:  Neurobiol Aging       Date:  2015-03-07       Impact factor: 4.673

3.  Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI.

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Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

4.  Robust variance-components approach for assessing genetic linkage in pedigrees.

Authors:  C I Amos
Journal:  Am J Hum Genet       Date:  1994-03       Impact factor: 11.025

5.  Characterization of restricted diffusion in uni- and multi-lamellar vesicles using short distance iMQCs.

Authors:  A M Stokes; J W Wilson; W S Warren
Journal:  J Magn Reson       Date:  2012-08-14       Impact factor: 2.229

6.  Multimodal white matter imaging to investigate reduced fractional anisotropy and its age-related decline in schizophrenia.

Authors:  Peter Kochunov; Joshua Chiappelli; Susan N Wright; Laura M Rowland; Beenish Patel; S Andrea Wijtenburg; Katie Nugent; Robert P McMahon; William T Carpenter; Florian Muellerklein; Hemalatha Sampath; L Elliot Hong
Journal:  Psychiatry Res       Date:  2014-05-21       Impact factor: 3.222

7.  Non-mono-exponential attenuation of water and N-acetyl aspartate signals due to diffusion in brain tissue.

Authors:  Y Assaf; Y Cohen
Journal:  J Magn Reson       Date:  1998-03       Impact factor: 2.229

8.  High b-value and diffusion tensor imaging in a canine model of dysmyelination and brain maturation.

Authors:  Yu-Chien Wu; Aaron S Field; Ian D Duncan; Alexey A Samsonov; Yoichi Kondo; Dana Tudorascu; Andrew L Alexander
Journal:  Neuroimage       Date:  2011-07-12       Impact factor: 6.556

9.  Genetics of white matter development: a DTI study of 705 twins and their siblings aged 12 to 29.

Authors:  Ming-Chang Chiang; Katie L McMahon; Greig I de Zubicaray; Nicholas G Martin; Ian Hickie; Arthur W Toga; Margaret J Wright; Paul M Thompson
Journal:  Neuroimage       Date:  2010-10-13       Impact factor: 6.556

10.  Axon diameter mapping in the presence of orientation dispersion with diffusion MRI.

Authors:  Hui Zhang; Penny L Hubbard; Geoff J M Parker; Daniel C Alexander
Journal:  Neuroimage       Date:  2011-02-19       Impact factor: 6.556

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  13 in total

1.  Gray matter heritability in family-based and population-based studies using voxel-based morphometry.

Authors:  Sven J van der Lee; Gennady V Roshchupkin; Hieab H H Adams; Helena Schmidt; Edith Hofer; Yasaman Saba; Reinhold Schmidt; Albert Hofman; Najaf Amin; Cornelia M van Duijn; Meike W Vernooij; M Arfan Ikram; Wiro J Niessen
Journal:  Hum Brain Mapp       Date:  2017-02-01       Impact factor: 5.038

2.  White Matter Integrity in High-Altitude Pilots Exposed to Hypobaria.

Authors:  Stephen A McGuire; Goldie R E Boone; Paul M Sherman; David F Tate; Joe D Wood; Beenish Patel; George Eskandar; S Andrea Wijtenburg; Laura M Rowland; Geoffrey D Clarke; Patrick M Grogan; John H Sladky; Peter V Kochunov
Journal:  Aerosp Med Hum Perform       Date:  2016-12-01       Impact factor: 1.053

3.  Diffusion-weighted imaging uncovers likely sources of processing-speed deficits in schizophrenia.

Authors:  Peter Kochunov; Laura M Rowland; Els Fieremans; Jelle Veraart; Neda Jahanshad; George Eskandar; Xiaoming Du; Florian Muellerklein; Anya Savransky; Dinesh Shukla; Hemalatha Sampath; Paul M Thompson; L Elliot Hong
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-09       Impact factor: 11.205

4.  Heritability of white matter microstructure in late middle age: A twin study of tract-based fractional anisotropy and absolute diffusivity indices.

Authors:  Eero Vuoksimaa; Matthew S Panizzon; Donald J Hagler; Sean N Hatton; Christine Fennema-Notestine; Daniel Rinker; Lisa T Eyler; Carol E Franz; Michael J Lyons; Michael C Neale; Ming T Tsuang; Anders M Dale; William S Kremen
Journal:  Hum Brain Mapp       Date:  2016-12-29       Impact factor: 5.038

5.  Predominantly global genetic influences on individual white matter tract microstructure.

Authors:  Daniel E Gustavson; Sean N Hatton; Jeremy A Elman; Matthew S Panizzon; Carol E Franz; Donald J Hagler; Christine Fennema-Notestine; Lisa T Eyler; Linda K McEvoy; Michael C Neale; Nathan Gillespie; Anders M Dale; Michael J Lyons; William S Kremen
Journal:  Neuroimage       Date:  2018-10-05       Impact factor: 6.556

6.  Genetic and environmental influences of variation in diffusion MRI measures of white matter microstructure.

Authors:  Zhan Luo; Nagesh Adluru; Douglas C Dean; Andrew L Alexander; H Hill Goldsmith
Journal:  Brain Struct Funct       Date:  2021-09-28       Impact factor: 3.270

7.  Evidence for genetic correlation between human cerebral white matter microstructure and inflammation.

Authors:  Amanda L Rodrigue; Emma Em Knowles; Josephine Mollon; Samuel R Mathias; Marinka Mg Koenis; Juan M Peralta; Ana C Leandro; Peter T Fox; Emma Sprooten; Peter Kochunov; Rene L Olvera; Ravindranath Duggirala; Laura Almasy; Joanne E Curran; John Blangero; David C Glahn
Journal:  Hum Brain Mapp       Date:  2019-06-11       Impact factor: 5.399

Review 8.  Multimodal neuroimaging of male and female brain structure in health and disease across the life span.

Authors:  Neda Jahanshad; Paul M Thompson
Journal:  J Neurosci Res       Date:  2017-01-02       Impact factor: 4.164

9.  Local connectome phenotypes predict social, health, and cognitive factors.

Authors:  Michael A Powell; Javier O Garcia; Fang-Cheng Yeh; Jean M Vettel; Timothy Verstynen
Journal:  Netw Neurosci       Date:  2018-03-01

10.  Heritable anisotropy associated with cognitive impairments among patients with schizophrenia and their non-psychotic relatives in multiplex families.

Authors:  K M Prasad; J Gertler; S Tollefson; J A Wood; D Roalf; R C Gur; R E Gur; L Almasy; M F Pogue-Geile; V L Nimgaonkar
Journal:  Psychol Med       Date:  2020-09-03       Impact factor: 10.592

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