Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology

Technological advances in both genome sequencing and prenatal imaging are increasing our ability to accurately recognize and diagnose Mendelian conditions prenatally. Phenotype‐driven early genetic diagnosis of fetal genetic disease can help to strategize treatment options and clinical preventive measures during the perinatal period, to plan in utero therapies, and to inform parental decision‐making. Fetal phenotypes of genetic diseases are often unique and at present are not well understood; more comprehensive knowledge about prenatal phenotypes and computational resources have an enormous potential to improve diagnostics and translational research. The Human Phenotype Ontology (HPO) has been widely used to support diagnostics and translational research in human genetics. To better support prenatal usage, the HPO consortium conducted a series of workshops with a group of domain experts in a variety of medical specialties, diagnostic techniques, as well as diseases and phenotypes related to prenatal medicine, including perinatal pathology, musculoskeletal anomalies, neurology, medical genetics, hydrops fetalis, craniofacial malformations, cardiology, neonatal‐perinatal medicine, fetal medicine, placental pathology, prenatal imaging, and bioinformatics. We expanded the representation of prenatal phenotypes in HPO by adding 95 new phenotype terms under the Abnormality of prenatal development or birth (HP:0001197) grouping term, and revised definitions, synonyms, and disease annotations for most of the 152 terms that existed before the beginning of this effort. The expansion of prenatal phenotypes in HPO will support phenotype‐driven prenatal exome and genome sequencing for precision genetic diagnostics of rare diseases to support prenatal care.

[1]  The Genomes-Project-Pilot-Investigators 100,000 genomes pilot on rare-disease diagnosis in health care – preliminary report , 2022, Yearbook of Paediatric Endocrinology.

[2]  Julius O. B. Jacobsen,et al.  The GA4GH Phenopacket schema defines a computable representation of clinical data , 2022, Nature Biotechnology.

[3]  R. Wapner,et al.  The fetal sequencing consortium: The value of multidisciplinary dialog and collaboration , 2022, Prenatal diagnosis.

[4]  L. Chitty,et al.  Diagnostic yield of exome sequencing for prenatal diagnosis of fetal structural anomalies: A systematic review and meta‐analysis , 2022, Prenatal diagnosis.

[5]  Monica G Hasmasanu,et al.  Fetal cardiac rhabdomyomas as a sonographic sign of tuberous sclerosis complex – a diagnosis not to be missed. A pictorial essay , 2022, Medical Ultrasonography.

[6]  M. Kilby,et al.  Evolving fetal phenotypes and clinical impact of progressive prenatal exome sequencing pathways: cohort study , 2021, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[7]  Julius O. B. Jacobsen,et al.  The 100,000 Genomes Pilot on Rare Disease Diagnosis in Healthcare − A Preliminary Report , 2021, The New England journal of medicine.

[8]  Grant M. Wood,et al.  GA4GH: International policies and standards for data sharing across genomic research and healthcare , 2021, Cell genomics.

[9]  U. Altunoğlu,et al.  Prenatal sonographic and cytogenetic/molecular findings of 22q11.2 microdeletion syndrome in 48 confirmed cases in a single tertiary center , 2021, Archives of Gynecology and Obstetrics.

[10]  Pieter B. T. Neerincx,et al.  Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases , 2021, European Journal of Human Genetics.

[11]  R. Krause,et al.  Modeling seizures in the Human Phenotype Ontology according to contemporary ILAE concepts makes big phenotypic data tractable , 2021, Epilepsia.

[12]  E. Hoppenreijs,et al.  Curation and expansion of Human Phenotype Ontology for defined groups of inborn errors of immunity , 2021, The Journal of allergy and clinical immunology.

[13]  M. Hurles,et al.  Fetal hydrops and the Incremental yield of Next‐generation sequencing over standard prenatal Diagnostic testing (FIND) study: prospective cohort study and meta‐analysis , 2021, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[14]  P. Lapunzina,et al.  Prenatal ultrasound findings in Koolen‐de Vries foetuses: Central nervous system anomalies are frequent markers of this syndrome , 2021, Molecular genetics & genomic medicine.

[15]  H. Fröhlich,et al.  CADA: phenotype-driven gene prioritization based on a case-enriched knowledge graph , 2021, medRxiv.

[16]  M. Kilby,et al.  Evidence to Support the Clinical Utility of Prenatal Exome Sequencing in Evaluation of the Fetus with Congenital Anomalies , 2021, BJOG : an international journal of obstetrics and gynaecology.

[17]  M. Hurles,et al.  The Diagnostic Yield of Prenatal Genetic Technologies in Congenital Heart Disease: A Prospective Cohort Study , 2021, Fetal Diagnosis and Therapy.

[18]  Christopher G Chute,et al.  The Human Phenotype Ontology in 2021 , 2020, Nucleic Acids Res..

[19]  Stephan J Sanders,et al.  Exome Sequencing for Prenatal Diagnosis in Nonimmune Hydrops Fetalis. , 2020, The New England journal of medicine.

[20]  Lucy Lu Wang,et al.  Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project , 2020, Nature Reviews Nephrology.

[21]  N. Roberts,et al.  How often do we identify fetal abnormalities during routine third‐trimester ultrasound? A systematic review and meta‐analysis , 2020, BJOG : an international journal of obstetrics and gynaecology.

[22]  Christie M. Buchovecky,et al.  Causal Genetic Variants in Stillbirth. , 2020, The New England journal of medicine.

[23]  M. Hurles,et al.  COngenital heart disease and the Diagnostic yield with Exome sequencing (CODE) study: prospective cohort study and systematic review , 2020, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[24]  P. Robinson,et al.  Supplementation of the ESID registry working definitions for the clinical diagnosis of inborn errors of immunity with encoded human phenotype ontology (HPO) terms. , 2020, The journal of allergy and clinical immunology. In practice.

[25]  Damian Smedley,et al.  Interpretable Clinical Genomics with a Likelihood Ratio Paradigm. , 2020, American journal of human genetics.

[26]  Tudor Groza,et al.  The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species , 2019, Nucleic Acids Res..

[27]  Chunhua Weng,et al.  Phen2Gene: rapid phenotype-driven gene prioritization for rare diseases , 2019, bioRxiv.

[28]  Kiely N. James,et al.  A Randomized, Controlled Trial of the Analytic and Diagnostic Performance of Singleton and Trio, Rapid Genome and Exome Sequencing in Ill Infants. , 2019, American journal of human genetics.

[29]  L. Wilkins-Haug,et al.  Fetal phenotypes emerge as genetic technologies become robust , 2019, Prenatal diagnosis.

[30]  Jean Charlet,et al.  A Novel Intelligent Scan Assistant System for Early Pregnancy Diagnosis by Ultrasound: Clinical Decision Support System Evaluation Study , 2019, Journal of medical Internet research.

[31]  Steve D. M. Brown,et al.  Human and mouse essentiality screens as a resource for disease gene discovery , 2019, bioRxiv.

[32]  V. Jobanputra,et al.  Whole-exome sequencing in the evaluation of fetal structural anomalies: a prospective cohort study , 2019, The Lancet.

[33]  Jay F Rowland,et al.  Prenatal exome sequencing analysis in fetal structural anomalies detected by ultrasonography (PAGE): a cohort study , 2019, The Lancet.

[34]  Tudor Groza,et al.  Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources , 2018, Nucleic Acids Res..

[35]  E. Prigmore,et al.  Prenatal Assessment of Genomes and Exomes Consortium (2019). Prenatal exome sequencing analysis in fetal structural anomalies detected by ultrasonography (PAGE): A cohort study. Obstetrical and Gynecological Survey , 74 (7), 394-396. , 2019 .

[36]  H. Parkinson,et al.  Harmonising phenomics information for a better interoperability in the rare disease field. , 2018, European journal of medical genetics.

[37]  Christopher G Chute,et al.  Classification, Ontology, and Precision Medicine. , 2018, The New England journal of medicine.

[38]  S. Kingsmore,et al.  Meta-analysis of the diagnostic and clinical utility of genome and exome sequencing and chromosomal microarray in children with suspected genetic diseases , 2018, npj Genomic Medicine.

[39]  S. Kingsmore,et al.  Rapid whole-genome sequencing decreases infant morbidity and cost of hospitalization , 2018, npj Genomic Medicine.

[40]  Alison M. Male,et al.  Rapid prenatal diagnosis using targeted exome sequencing: a cohort study to assess feasibility and potential impact on prenatal counseling and pregnancy management , 2018, Genetics in Medicine.

[41]  N. Vora,et al.  Promises, pitfalls and practicalities of prenatal whole exome sequencing , 2018, Prenatal diagnosis.

[42]  Fan Xia,et al.  Use of Exome Sequencing for Infants in Intensive Care Units: Ascertainment of Severe Single-Gene Disorders and Effect on Medical Management , 2017, JAMA pediatrics.

[43]  C. Austin,et al.  The International Rare Diseases Research Consortium: Policies and Guidelines to maximize impact , 2017, European Journal of Human Genetics.

[44]  Steve D. M. Brown,et al.  Disease Model Discovery from 3,328 Gene Knockouts by The International Mouse Phenotyping Consortium , 2017, Nature Genetics.

[45]  N. Vora,et al.  Prenatal Diagnosis: Screening and Diagnostic Tools. , 2017, Obstetrics and gynecology clinics of North America.

[46]  Damian Smedley,et al.  Defining Disease, Diagnosis, and Translational Medicine within a Homeostatic Perturbation Paradigm: The National Institutes of Health Undiagnosed Diseases Program Experience , 2017, Front. Med..

[47]  J. Berg,et al.  Prenatal Exome Sequencing in Anomalous Fetuses: New Opportunities and Challenges , 2017, Genetics in Medicine.

[48]  Tudor Groza,et al.  The Human Phenotype Ontology in 2017 , 2016, Nucleic Acids Res..

[49]  Giorgio Valentini,et al.  A Whole-Genome Analysis Framework for Effective Identification of Pathogenic Regulatory Variants in Mendelian Disease. , 2016, American journal of human genetics.

[50]  Steve D. M. Brown,et al.  High-throughput discovery of novel developmental phenotypes , 2016, Nature.

[51]  Damian Smedley,et al.  Computational evaluation of exome sequence data using human and model organism phenotypes improves diagnostic efficiency , 2015, Genetics in Medicine.

[52]  Damian Smedley,et al.  Next-generation diagnostics and disease-gene discovery with the Exomiser , 2015, Nature Protocols.

[53]  J. Friedman,et al.  Exome sequencing for gene discovery in lethal fetal disorders – harnessing the value of extreme phenotypes , 2015, Prenatal diagnosis.

[54]  S. Lewis,et al.  Use of Model Organism and Disease Databases to Support Matchmaking for Human Disease Gene Discovery , 2015, Human mutation.

[55]  K. Kochanek,et al.  Annual Summary of Vital Statistics: 2012–2013 , 2015, Pediatrics.

[56]  Laura M. Jackson,et al.  Finding Our Way through Phenotypes , 2015, PLoS biology.

[57]  Damian Smedley,et al.  Clinical interpretation of CNVs with cross-species phenotype data , 2014, Journal of Medical Genetics.

[58]  W. Wasserman,et al.  Exome sequencing identifies mutations in KIF14 as a novel cause of an autosomal recessive lethal fetal ciliopathy phenotype , 2014, Clinical genetics.

[59]  Caleb Webber,et al.  Phenotype Ontologies and Cross-Species Analysis for Translational Research , 2014, PLoS genetics.

[60]  Damian Smedley,et al.  Improved exome prioritization of disease genes through cross-species phenotype comparison , 2014, Genome research.

[61]  Harm-Gerd Karl Blaas,et al.  Detection of structural abnormalities in the first trimester using ultrasound. , 2013, Best practice & research. Clinical obstetrics & gynaecology.

[62]  F. Prefumo,et al.  Accuracy of Ultrasonography at 11–14 Weeks of Gestation for Detection of Fetal Structural Anomalies: A Systematic Review , 2013, Obstetrics and gynecology.

[63]  M. Dickinson,et al.  Bloomsbury report on mouse embryo phenotyping: recommendations from the IMPC workshop on embryonic lethal screening , 2013, Disease Models & Mechanisms.

[64]  D. McMullan,et al.  Use of prenatal chromosomal microarray: prospective cohort study and systematic review and meta‐analysis , 2013, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[65]  T. Abe,et al.  Kif14 Mutation Causes Severe Brain Malformation and Hypomyelination , 2013, PloS one.

[66]  K. Kagan,et al.  ISUOG Practice Guidelines: performance of first‐trimester fetal ultrasound scan , 2013, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[67]  Damian Smedley,et al.  Phenotypic overlap in the contribution of individual genes to CNV pathogenicity revealed by cross-species computational analysis of single-gene mutations in humans, mice and zebrafish , 2012, Disease Models & Mechanisms.

[68]  Damian Smedley,et al.  Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research. , 2013, F1000Research.

[69]  D. Ledbetter,et al.  Chromosomal microarray versus karyotyping for prenatal diagnosis. , 2012, The New England journal of medicine.

[70]  Marcel H. Schulz,et al.  Bayesian ontology querying for accurate and noise-tolerant semantic searches , 2012, Bioinform..

[71]  Dietrich Rebholz-Schuhmann,et al.  Improving Disease Gene Prioritization by Comparing the Semantic Similarity of Phenotypes in Mice with Those of Human Diseases , 2012, PloS one.

[72]  Peter N. Robinson,et al.  Deep phenotyping for precision medicine , 2012, Human mutation.

[73]  Toshiro K. Ohsumi,et al.  Sequencing Chromosomal Abnormalities Reveals Neurodevelopmental Loci that Confer Risk across Diagnostic Boundaries , 2012, Cell.

[74]  Marcel H. Schulz,et al.  Exact score distribution computation for ontological similarity searches , 2011, BMC Bioinformatics.

[75]  Monte Westerfield,et al.  Linking Human Diseases to Animal Models Using Ontology-Based Phenotype Annotation , 2009, PLoS biology.

[76]  Marcel H. Schulz,et al.  Clinical diagnostics in human genetics with semantic similarity searches in ontologies. , 2009, American journal of human genetics.

[77]  P. Bernard,et al.  Prenatal Diagnosis of Fetal Cataract: Case Report and Review of the Literature , 2009, Fetal Diagnosis and Therapy.

[78]  P. Robinson,et al.  The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease. , 2008, American journal of human genetics.

[79]  Leslie G Biesecker,et al.  Phenotype matters , 2004, Nature Genetics.

[80]  D. Warburton,et al.  De novo balanced chromosome rearrangements and extra marker chromosomes identified at prenatal diagnosis: clinical significance and distribution of breakpoints. , 1991, American journal of human genetics.