Genome-wide mapping of global-to-local genetic effects on human facial shape

[1]  Yang I Li,et al.  An Expanded View of Complex Traits: From Polygenic to Omnigenic , 2017, Cell.

[2]  S. Weinberg,et al.  Genome-wide association study of facial morphology reveals novel associations with FREM1 and PARK2 , 2017, PloS one.

[3]  M. Nöthen,et al.  Imputation of orofacial clefting data identifies novel risk loci and sheds light on the genetic background of cleft lip ± cleft palate and cleft palate only , 2017, Human molecular genetics.

[4]  Peter Claes,et al.  Exploring the Underlying Genetics of Craniofacial Morphology through Various Sources of Knowledge , 2016, BioMed research international.

[5]  J. Wysocka,et al.  Ever-Changing Landscapes: Transcriptional Enhancers in Development and Evolution , 2016, Cell.

[6]  Seth M. Weinberg,et al.  The 3D Facial Norms Database: Part 1. A Web-Based Craniofacial Anthropometric and Image Repository for the Clinical and Research Community , 2016, The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association.

[7]  Chung How Kau,et al.  Genome-Wide Association Study Reveals Multiple Loci Influencing Normal Human Facial Morphology , 2016, PLoS genetics.

[8]  Stephanie A. Santorico,et al.  Genomewide Association Study of African Children Identifies Association of SCHIP1 and PDE8A with Facial Size and Shape , 2016, PLoS genetics.

[9]  Stephen Burgess,et al.  PhenoScanner: a database of human genotype–phenotype associations , 2016, Bioinform..

[10]  Rolando González-José,et al.  A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation , 2016, Nature Communications.

[11]  Joseph K. Pickrell,et al.  Detection and interpretation of shared genetic influences on 42 human traits , 2015, Nature Genetics.

[12]  P. Farnham,et al.  Making sense of GWAS: using epigenomics and genome engineering to understand the functional relevance of SNPs in non-coding regions of the human genome , 2015, Epigenetics & Chromatin.

[13]  Luisa F. Pallares,et al.  Mapping of Craniofacial Traits in Outbred Mice Identifies Major Developmental Genes Involved in Shape Determination , 2015, PLoS genetics.

[14]  F. Gage,et al.  Enhancer Divergence and cis-Regulatory Evolution in the Human and Chimp Neural Crest , 2015, Cell.

[15]  M. Bronner,et al.  Evolution of vertebrates as viewed from the crest , 2015, Nature.

[16]  Michael L. Cunningham,et al.  Quantitative trait loci affecting the 3D skull shape and size in mouse and prioritization of candidate genes in-silico , 2015, Front. Physiol..

[17]  R. McLennan,et al.  Neural crest migration: trailblazing ahead , 2015, F1000prime reports.

[18]  R. Schneider.  Regulation of Jaw Length During Development, Disease, and Evolution. , 2015, Current topics in developmental biology.

[19]  Peter C Scacheri,et al.  Enhancer variants: evaluating functions in common disease , 2014, Genome Medicine.

[20]  Ross M. Fraser,et al.  Defining the role of common variation in the genomic and biological architecture of adult human height , 2014, Nature Genetics.

[21]  Paul Suetens,et al.  Modeling 3D Facial Shape from DNA , 2014, PLoS genetics.

[22]  Paul Suetens,et al.  Development and comparison of non-rigid surface registration algorithms and extensions , 2014 .

[23]  Qiuping Xu.  Canonical correlation Analysis , 2014 .

[24]  Hang Zhou,et al.  Detecting Genetic Association of Common Human Facial Morphological Variation Using High Density 3D Image Registration , 2013, PLoS Comput. Biol..

[25]  I. Dawid,et al.  Inhibition of neural crest formation by Kctd15 involves regulation of transcription factor AP-2 , 2013, Proceedings of the National Academy of Sciences.

[26]  O. Delaneau,et al.  Supplementary Information for ‘ Improved whole chromosome phasing for disease and population genetic studies ’ , 2012 .

[27]  Alvaro Rada-Iglesias,et al.  Epigenomic annotation of enhancers predicts transcriptional regulators of human neural crest. , 2012, Cell stem cell.

[28]  Kenny Q. Ye,et al.  An integrated map of genetic variation from 1,092 human genomes , 2012, Nature.

[29]  Marleen de Bruijne,et al.  A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans , 2012, PLoS genetics.

[30]  M. Bronner,et al.  Development and evolution of the neural crest: an overview. , 2012, Developmental biology.

[31]  Nicholas J Timpson,et al.  Genome-wide association study of three-dimensional facial morphology identifies a variant in PAX3 associated with nasion position. , 2012, American journal of human genetics.

[32]  P. Claes,et al.  Improved facial outcome assessment using a 3D anthropometric mask. , 2012, International journal of oral and maxillofacial surgery.

[33]  J. Marchini,et al.  Genotype Imputation with Thousands of Genomes , 2011, G3: Genes | Genomes | Genetics.

[34]  D. Vandermeulen,et al.  Spatially-dense 3D facial asymmetry assessment in both typical and disordered growth , 2011, Journal of anatomy.

[35]  Young-Hoon Lee,et al.  Sox9 function in craniofacial development and disease , 2011, Genesis.

[36]  Ryan A. Flynn,et al.  A unique chromatin signature uncovers early developmental enhancers in humans , 2011, Nature.

[37]  J. Helms,et al.  Cranial neural crest cells on the move: Their roles in craniofacial development , 2011, American journal of medical genetics. Part A.

[38]  R. Young,et al.  Histone H3K27ac separates active from poised enhancers and predicts developmental state , 2010, Proceedings of the National Academy of Sciences.

[39]  D. Slice,et al.  Regional shape change in adult facial bone curvature with age. , 2010, American journal of physical anthropology.

[40]  Frank W. Stearns.  One Hundred Years of Pleiotropy: A Retrospective , 2010, Genetics.

[41]  Peter Kraft,et al.  Quality control and quality assurance in genotypic data for genome‐wide association studies , 2010, Genetic epidemiology.

[42]  Carrie L Heike,et al.  3D digital stereophotogrammetry: a practical guide to facial image acquisition , 2010, Head & face medicine.

[43]  G. Bejerano,et al.  GREAT improves functional interpretation of cis-regulatory regions , 2010, Nature Biotechnology.

[44]  David H. Alexander,et al.  Fast model-based estimation of ancestry in unrelated individuals. , 2009, Genome research.

[45]  P. Donnelly,et al.  A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies , 2009, PLoS genetics.

[46]  Christian Peter Klingenberg,et al.  Morphological Integration and Developmental Modularity , 2008 .

[47]  S. Batzoglou,et al.  Genome-Wide Analysis of Transcription Factor Binding Sites Based on ChIP-Seq Data , 2008, Nature Methods.

[48]  M. Daly,et al.  Estimation of the multiple testing burden for genomewide association studies of nearly all common variants , 2008, Genetic epidemiology.

[49]  F. Bookstein,et al.  The Evolutionary Role of Modularity and Integration in the Hominoid Cranium , 2008, Evolution; international journal of organic evolution.

[50]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[51]  D. Carlson.  Theories of Craniofacial Growth in the Postgenomic Era , 2005 .

[52]  J. Li,et al.  Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix , 2005, Heredity.

[53]  A. van Daal,et al.  Linkage disequilibrium analysis identifies an FGFR1 haplotype-tag SNP associated with normal variation in craniofacial shape. , 2005, Genomics.

[54]  H. Fuchs,et al.  An ENU-induced mutation in AP-2α leads to middle earand ocular defects in Doarad mice , 2004, Mammalian Genome.

[55]  James C. Hayton,et al.  Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis , 2004 .

[56]  Dr. P. H. Francis-West,et al.  Craniofacial Development The Tissue and Molecular Interactions That Control Development of the Head , 2003, Advances in Anatomy, Embryology and Cell Biology.

[57]  Christian Peter Klingenberg.  QUANTITATIVE GENETICS OF GEOMETRIC SHAPE: HERITABILITY AND THE PITFALLS OF THE UNIVARIATE APPROACH , 2003, Evolution; international journal of organic evolution.

[58]  Y. Benjamini,et al.  THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .

[59]  Michael I. Jordan,et al.  On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.

[60]  F. Rohlf,et al.  Extensions of the Procrustes Method for the Optimal Superimposition of Landmarks , 1990 .

[61]  P. Robert,et al.  A Unifying Tool for Linear Multivariate Statistical Methods: The RV‐Coefficient , 1976 .

[62]  C. L. Olson.  On choosing a test statistic in multivariate analysis of variance. , 1976 .