Heritability of hippocampal subfield volumes using a twin and non‐twin siblings design

The hippocampus is composed of distinct subfields linked to diverse functions and disorders. The subfields can be mapped using high‐resolution magnetic resonance images, and their volumes can potentially be used as quantitative phenotypes for genetic investigation of hippocampal function. We estimated the heritability of hippocampus subfield volumes of 465 subjects from the Human Connectome Project (twins and non‐twin siblings) using two methods. The first used a univariate model to estimate heritability with and without adjustment for total brain volume (TBV) and ipsilateral hippocampal volume to determine if heritability was uniquely attributable to subfield volume rather than confounds that attributed to global volumes. We observed the right: subiculum, cornu ammonis 2/3, and cornu ammonis 4/dentate gyrus subfields had the highest significant heritability estimates after adjusting for ipsilateral hippocampal volume. In the second analysis, we used a bivariate model to investigate the shared heritability and genetic correlation of the subfield volumes with TBV and ipsilateral hippocampal volume. Genetic correlation demonstrates shared genetic architecture between phenotypes and shared heritability is what proportion of the genetic architecture of one trait is shared by the other. Highest genetic correlations were between subfield volumes and ipsilateral hippocampal volume than with TBV. The pattern was opposite for shared heritability suggesting that subfields share greater proportion of the genetic architecture with TBV than with ipsilateral hippocampal volume. The relationship between the genetic architecture of TBV, hippocampal volume, and of individual subfields should be accounted for when using hippocampal subfield volumes as quantitative phenotypes for imaging genetics studies. Hum Brain Mapp 38:4337–4352, 2017. © 2017 Wiley Periodicals, Inc.

[1]  Timothy R. Brick,et al.  OpenMx 2.0: Extended Structural Equation and Statistical Modeling , 2015, Psychometrika.

[2]  D D Blatter,et al.  Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life. , 1995, AJNR. American journal of neuroradiology.

[3]  Luigi Ferrucci,et al.  Interaction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium. , 2016, The American journal of clinical nutrition.

[4]  A. Schleicher,et al.  Human brain growth in the 19th and 20th century , 1979, Journal of the Neurological Sciences.

[5]  Michael Marriott,et al.  Lower hippocampal volume in patients suffering from depression: a meta-analysis. , 2004, The American journal of psychiatry.

[6]  M. Mallar Chakravarty,et al.  A novel in vivo atlas of human hippocampal subfields using high-resolution 3T magnetic resonance imaging , 2013, NeuroImage.

[7]  Koenraad Van Leemput,et al.  Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases , 2016, NeuroImage.

[8]  Hideyuki Okano,et al.  In vitro neurogenesis by progenitor cells isolated from the adult human hippocampus , 2000, Nature Medicine.

[9]  G. Bartzokis,et al.  Amygdala enlargement in bipolar disorder and hippocampal reduction in schizophrenia: an MRI study demonstrating neuroanatomic specificity. , 1998, Archives of general psychiatry.

[10]  D. Louis Collins,et al.  Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI by augmenting ANIMAL with a template library and label fusion , 2010, NeuroImage.

[11]  A. Thapar,et al.  Methodology for Genetic Studies of Twins and Families , 1993 .

[12]  L. Staib,et al.  Hippocampal volume reduction in major depression. , 2000, The American journal of psychiatry.

[13]  Allan R. Jones,et al.  Transcriptional Landscape of the Prenatal Human Brain , 2014, Nature.

[14]  K. Amunts,et al.  Cytoarchitectonic mapping of the human amygdala, hippocampal region and entorhinal cortex: intersubject variability and probability maps , 2005, Anatomy and Embryology.

[15]  Simon Duchesne,et al.  Hippocampal atrophy rates in Alzheimer's disease: Automated segmentation variability analysis , 2011, Neuroscience Letters.

[16]  Koenraad Van Leemput,et al.  A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI , 2015, NeuroImage.

[17]  A. Jacquard,et al.  Heritability: one word, three concepts. , 1983, Biometrics.

[18]  C. Jack,et al.  Alzheimer's Disease Neuroimaging Initiative , 2008 .

[19]  I. Kuchna Quantitative studies of human newborns' hippocampal pyramidal cells after perinatal hypoxia. , 1994, Folia neuropathologica.

[20]  A. Wagner,et al.  The hippocampal formation in schizophrenia. , 2010, The American journal of psychiatry.

[21]  Steen Moeller,et al.  The Human Connectome Project: A data acquisition perspective , 2012, NeuroImage.

[22]  Polina Golland,et al.  Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI , 2009, Hippocampus.

[23]  David N. Kennedy,et al.  A Twin MRI Study of Size Variations in the Human Brain , 2000, Journal of Cognitive Neuroscience.

[24]  R. Kahn,et al.  Quantitative genetic modeling of variation in human brain morphology. , 2001, Cerebral cortex.

[25]  Essa Yacoub,et al.  The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.

[26]  D. Swaab,et al.  Sexual differentiation of the human brain. A historical perspective. , 1984, Progress in brain research.

[27]  Brian B. Avants,et al.  Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..

[28]  M. Mallar Chakravarty,et al.  Illness Progression, Recent Stress, and Morphometry of Hippocampal Subfields and Medial Prefrontal Cortex in Major Depression , 2014, Biological Psychiatry.

[29]  Jeffrey A. Lieberman,et al.  Hippocampus-amygdala volumes and psychopathology in chronic schizophrenia , 1993, Biological Psychiatry.

[30]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[31]  Brigitte Landeau,et al.  EFFECTS OF AGE AND ALZHEIMER'S DISEASE ON HIPPOCAMPAL SUBFIELDS: COMPARISON BETWEEN MANUAL AND FREESURFER VOLUMETRY , 2014, Alzheimer's & Dementia.

[32]  Thomas E. Nichols,et al.  The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data , 2014, Brain Imaging and Behavior.

[33]  Dorret I. Boomsma,et al.  A Note on the Statistical Power in Extended Twin Designs , 2000, Behavior genetics.

[34]  Ching-Hsing Yu,et al.  SciNet: Lessons Learned from Building a Power-efficient Top-20 System and Data Centre , 2010 .

[35]  Koenraad Van Leemput,et al.  Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI , 2008, MICCAI.

[36]  J. Kril,et al.  Variation in hippocampal neuron number with age and brain volume. , 1998, Cerebral cortex.

[37]  Anders M. Dale,et al.  In Vivo Hippocampal Subfield Volumes in Schizophrenia and Bipolar Disorder , 2015, Biological Psychiatry.

[38]  Marisa O. Hollinshead,et al.  Identification of common variants associated with human hippocampal and intracranial volumes , 2012, Nature Genetics.

[39]  Anqi Qiu,et al.  Evolution of hippocampal shapes across the human lifespan , 2013, Human brain mapping.

[40]  C. DeCarli,et al.  Bivariate Heritability of Total and Regional Brain Volumes: The Framingham Study , 2009, Alzheimer disease and associated disorders.

[41]  D. Louis Collins,et al.  BEaST: Brain extraction based on nonlocal segmentation technique , 2012, NeuroImage.

[42]  Jon Pipitone,et al.  Hippocampal (subfield) volume and shape in relation to cognitive performance across the adult lifespan , 2015, Human brain mapping.

[43]  D. Collins,et al.  Performing label‐fusion‐based segmentation using multiple automatically generated templates , 2013, Human brain mapping.

[44]  Arthur W Toga,et al.  Recent Advances in Imaging Alzheimer's Disease 2 3 , 2022 .

[45]  M. Mallar Chakravarty,et al.  Manual segmentation of the fornix, fimbria, and alveus on high-resolution 3T MRI: Application via fully-automated mapping of the human memory circuit white and grey matter in healthy and pathological aging , 2016, NeuroImage.

[46]  M. Mallar Chakravarty,et al.  Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: Towards a harmonized segmentation protocol , 2015, NeuroImage.

[47]  Brian B. Avants,et al.  Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI , 2014, NeuroImage.

[48]  Neda Bernasconi,et al.  In vivo MRI signatures of hippocampal subfield pathology in intractable epilepsy , 2016, Human brain mapping.

[49]  C. Verney,et al.  Dynamic Expression Patterns of Progenitor and Pyramidal Neuron Layer Markers in the Developing Human Hippocampus. , 2016, Cerebral cortex.

[50]  Denis Dooley,et al.  Atlas of the Human Brain. , 1971 .

[51]  Geert Jan Biessels,et al.  A Critical Appraisal of the Hippocampal Subfield Segmentation Package in FreeSurfer , 2014, Front. Aging Neurosci..

[52]  Paul A. Yushkevich,et al.  Multi-Atlas Segmentation with Joint Label Fusion , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[53]  N. Schuff,et al.  Measurement of hippocampal subfields and age-related changes with high resolution MRI at 4T , 2007, Neurobiology of Aging.

[54]  Paul M. Thompson,et al.  Heritability and reliability of automatically segmented human hippocampal formation subregions , 2015, NeuroImage.

[55]  Michael Weiner,et al.  Nearly automatic segmentation of hippocampal subfields in in vivo focal T2-weighted MRI , 2010, NeuroImage.

[56]  M. Weiner,et al.  Selective effect of age, Apo e4, and Alzheimer's disease on hippocampal subfields , 2009, Hippocampus.

[57]  Marine Fouquet,et al.  Differential effect of age on hippocampal subfields assessed using a new high-resolution 3T MR sequence , 2010, NeuroImage.

[58]  M. Mallar Chakravarty,et al.  Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates , 2014, NeuroImage.

[59]  H. Duvernoy,et al.  The Human Hippocampus: Functional Anatomy, Vascularization and Serial Sections with MRI , 1997 .

[60]  M. Mallar Chakravarty,et al.  Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion , 2016, Front. Neurosci..

[61]  P. Hof,et al.  Cytoarchitecture of the human cerebral cortex: MR microscopy of excised specimens at 9.4 Tesla. , 2002, AJNR. American journal of neuroradiology.

[62]  A Pfefferbaum,et al.  Heritability of hippocampal size in elderly twin men: Equivalent influence from genes and environment , 2001, Hippocampus.

[63]  Peter Dalgaard,et al.  R Development Core Team (2010): R: A language and environment for statistical computing , 2010 .

[64]  P. Yushkevich,et al.  Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment , 2015, Human brain mapping.