Volume 41, Issue 1 pp. 299-315
RESEARCH ARTICLE
Open Access

Clinical spectrum of individuals with pathogenic NF1 missense variants affecting p.Met1149, p.Arg1276, and p.Lys1423: genotype–phenotype study in neurofibromatosis type 1

Magdalena Koczkowska

Magdalena Koczkowska

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

Magdalena Koczkowska, PhD, is also affiliated with the Department of Biology and Medical Genetics, Medical University of Gdansk, Gdansk, Poland.

Search for more papers by this author
Tom Callens

Tom Callens

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

Search for more papers by this author
Yunjia Chen

Yunjia Chen

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

Search for more papers by this author
Alicia Gomes

Alicia Gomes

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

Search for more papers by this author
Alesha D. Hicks

Alesha D. Hicks

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

Search for more papers by this author
Angela Sharp

Angela Sharp

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

Search for more papers by this author
Eric Johns

Eric Johns

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

Search for more papers by this author
Kim Armfield Uhas

Kim Armfield Uhas

Children's Healthcare of Atlanta at Scottish Rite, Atlanta, Georgia

Search for more papers by this author
Linlea Armstrong

Linlea Armstrong

Department of Medical Genetics, BC Women's Hospital, University of British Columbia, Vancouver, British Columbia, Canada

Search for more papers by this author
Katherine Armstrong Bosanko

Katherine Armstrong Bosanko

Division of Clinical Genetics and Metabolism, Arkansas Children's Hospital, University of Arkansas for Medical Sciences, Little Rock, Arkansas

Search for more papers by this author
Dusica Babovic-Vuksanovic

Dusica Babovic-Vuksanovic

Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota

Search for more papers by this author
Laura Baker

Laura Baker

Division of Medical Genetics, Al DuPont Hospital for Children, Wilmington, Delaware

Search for more papers by this author
Donald G. Basel

Donald G. Basel

Children's Hospital of Wisconsin, Milwaukee, Wisconsin

Search for more papers by this author
Mario Bengala

Mario Bengala

U.O.C Laboratorio di Genetica Medica, Dipartimento di Oncoematologia, Fondazione Policlinico di Tor Vergata, Rome, Italy

Search for more papers by this author
James T. Bennett

James T. Bennett

Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, Washington

Search for more papers by this author
Chelsea Chambers

Chelsea Chambers

Department of Neurology, University of Virginia Medical Center, Charlottesville, Virginia

Search for more papers by this author
Lola K. Clarkson

Lola K. Clarkson

Greenwood Genetic Center, Greenwood, South Carolina

Search for more papers by this author
Maurizio Clementi

Maurizio Clementi

Clinical Genetics Unit, Department of Women's and Children's Health, University of Padova, Padova, Italy

Search for more papers by this author
Fanny M. Cortés

Fanny M. Cortés

Center for Rare Diseases, Clinica Las Condes, Santiago, Chile

Search for more papers by this author
Mitch Cunningham

Mitch Cunningham

Division of Genetic, Genomic, and Metabolic Disorders, Detroit Medical Center, Children's Hospital of Michigan, Detroit, Michigan

Search for more papers by this author
M. Daniela D'Agostino

M. Daniela D'Agostino

Division of Medical Genetics, McGill University Health Centre, Montréal, Quebec, Canada

Search for more papers by this author
Martin B. Delatycki

Martin B. Delatycki

Bruce Lefroy Centre for Genetic Health Research, Murdoch Childrens Research Institute, Parkville, Victoria, Australia

Search for more papers by this author
Maria C. Digilio

Maria C. Digilio

Medical Genetics Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy

Search for more papers by this author
Laura Dosa

Laura Dosa

SOC Genetica Medica, AOU Meyer, Florence, Italy

Search for more papers by this author
Silvia Esposito

Silvia Esposito

Developmental Neurology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy

Search for more papers by this author
Stephanie Fox

Stephanie Fox

Division of Medical Genetics, McGill University Health Centre, Montréal, Quebec, Canada

Search for more papers by this author
Mary-Louise Freckmann

Mary-Louise Freckmann

Department of Clinical Genetics, Royal North Shore Hospital, St Leonards, New South Wales, Australia

Search for more papers by this author
Christine Fauth

Christine Fauth

Division of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria

Search for more papers by this author
Teresa Giugliano

Teresa Giugliano

Department of Precision Medicine, Università degli Studi della Campania “Luigi Vanvitelli”, Naples, Italy

Search for more papers by this author
Sandra Giustini

Sandra Giustini

Department of Dermatology and Venereology, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy

Search for more papers by this author
Allison Goetsch

Allison Goetsch

Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois

Search for more papers by this author
Yael Goldberg

Yael Goldberg

The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel

Search for more papers by this author
Robert S. Greenwood

Robert S. Greenwood

Division of Child Neurology, University of North Carolina School of Medicine, Chapel Hill, North Carolina

Search for more papers by this author
Cristin Griffis

Cristin Griffis

Children's Hospital of Wisconsin, Milwaukee, Wisconsin

Search for more papers by this author
Karen W. Gripp

Karen W. Gripp

Division of Medical Genetics, Al DuPont Hospital for Children, Wilmington, Delaware

Search for more papers by this author
Punita Gupta

Punita Gupta

Neurofibromatosis Diagnostic and Treatment Program, St. Joseph's Children's Hospital, Paterson, New Jersey

Search for more papers by this author
Eric Haan

Eric Haan

Adult Genetics Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia

Search for more papers by this author
Rachel K. Hachen

Rachel K. Hachen

Neurofibromatosis Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania

Search for more papers by this author
Tamara L. Haygarth

Tamara L. Haygarth

Carolinas HealthCare System, Levine Children's Specialty Center, Charlotte, North Carolina

Search for more papers by this author
Concepción Hernández-Chico

Concepción Hernández-Chico

Department of Genetics, Hospital Universitario Ramón y Cajal, Institute of Health Research (IRYCIS) and Center for Biomedical Research-Network of Rare Diseases (CIBERER), Madrid, Spain

Search for more papers by this author
Katelyn Hodge

Katelyn Hodge

Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana

Search for more papers by this author
Robert J. Hopkin

Robert J. Hopkin

Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio

Search for more papers by this author
Louanne Hudgins

Louanne Hudgins

Division of Medical Genetics, Stanford University School of Medicine, Stanford, California

Search for more papers by this author
Sandra Janssens

Sandra Janssens

Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium

Search for more papers by this author
Kory Keller

Kory Keller

Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, Oregon

Search for more papers by this author
Geraldine Kelly-Mancuso

Geraldine Kelly-Mancuso

Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio

Search for more papers by this author
Aaina Kochhar

Aaina Kochhar

Department of Medical Genetics and Metabolism, Valley Children's Healthcare, Madera, California

Search for more papers by this author
Bruce R. Korf

Bruce R. Korf

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

Search for more papers by this author
Andrea M. Lewis

Andrea M. Lewis

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas

Search for more papers by this author
Jan Liebelt

Jan Liebelt

The South Australian Clinical Genetics Service at the Women's and Children's Hospital, North Adelaide, South Australia, Australia

Search for more papers by this author
Angie Lichty

Angie Lichty

Greenwood Genetic Center, Greenwood, South Carolina

Search for more papers by this author
Robert H. Listernick

Robert H. Listernick

Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois

Search for more papers by this author
Michael J. Lyons

Michael J. Lyons

Greenwood Genetic Center, Greenwood, South Carolina

Search for more papers by this author
Isabelle Maystadt

Isabelle Maystadt

Center for Human Genetics, Institute of Pathology and Genetics (IPG), Gosselies, Belgium

Search for more papers by this author
Mayra Martinez Ojeda

Mayra Martinez Ojeda

Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts

Search for more papers by this author
Carey McDougall

Carey McDougall

Division of Human Genetics, Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania

Search for more papers by this author
Lesley K. McGregor

Lesley K. McGregor

The South Australian Clinical Genetics Service at the Women's and Children's Hospital, North Adelaide, South Australia, Australia

Search for more papers by this author
Daniela Melis

Daniela Melis

Section of Pediatrics, Department of Translational Medical Sciences, Federico II University, Naples, Italy

Search for more papers by this author
Nancy Mendelsohn

Nancy Mendelsohn

Genomics Medicine Program, Children's Hospital Minnesota, Minneapolis, Minnesota

Search for more papers by this author
Malgorzata J.M. Nowaczyk

Malgorzata J.M. Nowaczyk

Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada

Search for more papers by this author
June Ortenberg

June Ortenberg

Division of Medical Genetics, McGill University Health Centre, Montréal, Quebec, Canada

Search for more papers by this author
Karin Panzer

Karin Panzer

University of Iowa Stead Family Children's Hospital, Iowa City, Iowa

Search for more papers by this author
John G. Pappas

John G. Pappas

Division of Clinical Genetic Services, Department of Pediatrics, NYU School of Medicine, New York, New York

Search for more papers by this author
Mary Ella Pierpont

Mary Ella Pierpont

Department of Pediatrics and Opthalmology, University of Minnesota, Minneapolis, Minnesota

Search for more papers by this author
Giulio Piluso

Giulio Piluso

Department of Precision Medicine, Università degli Studi della Campania “Luigi Vanvitelli”, Naples, Italy

Search for more papers by this author
Valentina Pinna

Valentina Pinna

Molecular Genetics Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy

Search for more papers by this author
Eniko K. Pivnick

Eniko K. Pivnick

Department of Pediatrics and Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee

Search for more papers by this author
Dinel A. Pond

Dinel A. Pond

Genomics Medicine Program, Children's Hospital Minnesota, Minneapolis, Minnesota

Search for more papers by this author
Cynthia M. Powell

Cynthia M. Powell

Department of Genetics and Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, North Carolina

Search for more papers by this author
Caleb Rogers

Caleb Rogers

Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, Oregon

Search for more papers by this author
Noa Ruhrman Shahar

Noa Ruhrman Shahar

The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel

Search for more papers by this author
S. Lane Rutledge

S. Lane Rutledge

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

This paper is dedicated to the memory of our wonderful colleague, S. Lane Rutledge, MD, who passed away on January 2, 2019.

Search for more papers by this author
Veronica Saletti

Veronica Saletti

Developmental Neurology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy

Search for more papers by this author
Sarah A. Sandaradura

Sarah A. Sandaradura

Division of Clinical Genetics, Department of Paediatrics and Child Health, Children's Hospital at Westmead, University of Sydney, Sydney, New South Wales, Australia

Search for more papers by this author
Claudia Santoro

Claudia Santoro

Specialistic and General Surgery Unit, Department of Woman and Child, Referral Centre of Neurofibromatosis, Università degli Studi della Campania “Luigi Vanvitelli”, Naples, Italy

Search for more papers by this author
Ulrich A. Schatz

Ulrich A. Schatz

Division of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria

Search for more papers by this author
Allison Schreiber

Allison Schreiber

Cleveland Clinic, Genomic Medicine Institute, Cleveland, Ohio

Search for more papers by this author
Daryl A. Scott

Daryl A. Scott

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas

Search for more papers by this author
Elizabeth A. Sellars

Elizabeth A. Sellars

Division of Clinical Genetics and Metabolism, Arkansas Children's Hospital, University of Arkansas for Medical Sciences, Little Rock, Arkansas

Search for more papers by this author
Ruth Sheffer

Ruth Sheffer

Department of Genetics and Metabolic Diseases, Hadassah-Hebrew University Medical Center, Jerusalem, Israel

Search for more papers by this author
Elizabeth Siqveland

Elizabeth Siqveland

Genomics Medicine Program, Children's Hospital Minnesota, Minneapolis, Minnesota

Search for more papers by this author
John M. Slopis

John M. Slopis

Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas

Search for more papers by this author
Rosemarie Smith

Rosemarie Smith

Division of Genetics, Department of Pediatrics, Maine Medical Center, Portland, Maine

Search for more papers by this author
Alberto Spalice

Alberto Spalice

Child Neurology Division, Department of Pediatrics, Sapienza University of Rome, Rome, Italy

Search for more papers by this author
David W. Stockton

David W. Stockton

Division of Genetic, Genomic, and Metabolic Disorders, Detroit Medical Center, Children's Hospital of Michigan, Detroit, Michigan

Search for more papers by this author
Haley Streff

Haley Streff

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas

Search for more papers by this author
Amy Theos

Amy Theos

Department of Dermatology, University of Alabama at Birmingham, Birmingham, Alabama

Search for more papers by this author
Gail E. Tomlinson

Gail E. Tomlinson

Division of Pediatric Hematology–Oncology, Greehey Children's Cancer Research Institute, The University of Texas Health Science Center, San Antonio, Texas

Search for more papers by this author
Grace Tran

Grace Tran

Department of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas

Search for more papers by this author
Pamela L. Trapane

Pamela L. Trapane

Division of Pediatric Genetics, Department of Pediatrics, University of Florida College of Medicine, Jacksonville, Florida

Search for more papers by this author
Eva Trevisson

Eva Trevisson

Clinical Genetics Unit, Department of Women's and Children's Health, University of Padova, Padova, Italy

Search for more papers by this author
Nicole J. Ullrich

Nicole J. Ullrich

Department of Neurology, Boston Children's Hospital, Boston, Massachusetts

Search for more papers by this author
Jenneke Van den Ende

Jenneke Van den Ende

Center for Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium

Search for more papers by this author
Samantha A. Schrier Vergano

Samantha A. Schrier Vergano

Division of Medical Genetics and Metabolism, Children's Hospital of the King's Daughters, Norfolk, Virginia

Search for more papers by this author
Stephanie E. Wallace

Stephanie E. Wallace

Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, Washington

Search for more papers by this author
Michael F. Wangler

Michael F. Wangler

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas

Search for more papers by this author
David D. Weaver

David D. Weaver

Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana

Search for more papers by this author
Kaleb H. Yohay

Kaleb H. Yohay

Department of Neurology, New York University School of Medicine, Langone Medical Center, New York, New York

Search for more papers by this author
Elaine Zackai

Elaine Zackai

Division of Human Genetics, Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania

Search for more papers by this author
Jonathan Zonana

Jonathan Zonana

Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, Oregon

Search for more papers by this author
Vickie Zurcher

Vickie Zurcher

Cleveland Clinic, Genomic Medicine Institute, Cleveland, Ohio

Search for more papers by this author
Kathleen B. M. Claes

Kathleen B. M. Claes

Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium

Search for more papers by this author
Marica Eoli

Marica Eoli

Division of Molecular Neuro-Oncology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy

Search for more papers by this author
Yolanda Martin

Yolanda Martin

Department of Genetics, Hospital Universitario Ramón y Cajal, Institute of Health Research (IRYCIS) and Center for Biomedical Research-Network of Rare Diseases (CIBERER), Madrid, Spain

Search for more papers by this author
Katharina Wimmer

Katharina Wimmer

Division of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria

Search for more papers by this author
Alessandro De Luca

Alessandro De Luca

Molecular Genetics Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy

Search for more papers by this author
Eric Legius

Eric Legius

Department of Human Genetics, KU Leuven, Leuven, Belgium

Search for more papers by this author
Ludwine M. Messiaen

Corresponding Author

Ludwine M. Messiaen

Department of Genetics, University of Alabama at Birmingham, Birmingham, Albama

Correspondence Ludwine M. Messiaen, PhD, Medical Genomics Laboratory, Department of Genetics, University of Albama, 720 20th St. S., Birmingham, AL 35294.

Email: [email protected]

Search for more papers by this author
First published: 08 October 2019
Citations: 102

Abstract

We report 281 individuals carrying a pathogenic recurrent NF1 missense variant at p.Met1149, p.Arg1276, or p.Lys1423, representing three nontruncating NF1 hotspots in the University of Alabama at Birmingham (UAB) cohort, together identified in 1.8% of unrelated NF1 individuals. About 25% (95% confidence interval: 20.5–31.2%) of individuals heterozygous for a pathogenic NF1 p.Met1149, p.Arg1276, or p.Lys1423 missense variant had a Noonan-like phenotype, which is significantly more compared with the “classic” NF1-affected cohorts (all p < .0001). Furthermore, p.Arg1276 and p.Lys1423 pathogenic missense variants were associated with a high prevalence of cardiovascular abnormalities, including pulmonic stenosis (all p < .0001), while p.Arg1276 variants had a high prevalence of symptomatic spinal neurofibromas (p < .0001) compared with “classic” NF1-affected cohorts. However, p.Met1149-positive individuals had a mild phenotype, characterized mainly by pigmentary manifestations without externally visible plexiform neurofibromas, symptomatic spinal neurofibromas or symptomatic optic pathway gliomas. As up to 0.4% of unrelated individuals in the UAB cohort carries a p.Met1149 missense variant, this finding will contribute to more accurate stratification of a significant number of NF1 individuals. Although clinically relevant genotype–phenotype correlations are rare in NF1, each affecting only a small percentage of individuals, together they impact counseling and management of a significant number of the NF1 population.

1 INTRODUCTION

Neurofibromatosis type 1 (NF1; MIM# 162200) is one of the most common autosomal dominant disorders with a birth incidence of 1 in 2,000–3,000 (Evans et al., 2010; Lammert, Friedman, Kluwe, & Mautner, 2005; Uusitalo et al., 2015). It is characterized by a highly variable expressivity and age-dependent clinical features, including multiple café-au-lait macules (CALMs), skinfold freckling, Lisch nodules, cutaneous, plexiform and/or spinal neurofibromas, optic pathway gliomas (OPGs), neoplasms, skeletal abnormalities, and learning difficulties. The wide range of variable expression makes genetic counseling and anticipatory guidance challenging (Friedman, 2014).

NF1 results from loss-of-function pathogenic variants in the NF1 tumor suppressor gene (MIM# 613113), located on chromosome 17q11.2, a locus with one of the highest spontaneous mutation rates across single-gene human genetic disorders (Friedman, 2014; Huson, Compston, Clark, & Harper, 1989). Indeed, the extreme diversity of the NF1 mutational spectrum observed in the University of Alabama at Birmingham (UAB) cohort of approximately 8,000 unrelated NF1-affected individuals, all comprehensively analyzed with NF1 transcript analysis, includes greater than 3,000 different constitutional variants, with only 31 having a prevalence of ≥0.4% (Messiaen & Wimmer, 2012; Messiaen, in preparation). The constitutional NF1 microdeletion represents the most frequent recurrent pathogenic variant (~3–8%) and therefore was first recognized to have a genotype–phenotype association with a distinct severe form of NF1 (Kehrer-Sawatzki, Mautner, & Cooper, 2017). Nontruncating pathogenic variants affecting only a single amino acid are more likely to be associated with genotype–phenotype correlations, as they may represent gain-of-function or hypomorphic variants. Although missense variants contribute to approximately 17% of all variants found in unrelated NF1-affected individuals in the UAB cohort, very few are recurrent and therefore amenable to variant-specific genotype–phenotype analyses. Indeed, only six true nontruncating hotspots, each with a prevalence ≥0.4%, were found in the UAB cohort, i.e., missense variants at codons 844-848, 1149, 1276, 1423, and 1809 and a single amino acid deletion p.Met992del (Figure 1). To date, genotype–phenotype associations affecting pathogenic missense variants at NF1 codons 1809 and 844-848 and p.Met992del have been reported, representing approximately 1.2, 0.8, and 0.9% of unrelated probands, respectively (Koczkowska et al., 2018; Koczkowska et al., 2019; Pinna et al., 2015; Rojnueangnit et al., 2015; Upadhyaya et al., 2007). Increased efforts towards the identification of additional clinically relevant genotype–phenotype correlations are needed. Therefore, we examined with priority those individuals carrying a pathogenic variant at one of the three remaining nontruncating hotspots, i.e. at p.Met1149, p.Arg1276 and p.Lys1423.

Details are in the caption following the image

Spectrum of six mutational hotspots at NF1 codons 844-848 (67/8,000), 992 (74/8,000), 1149 (34/8,000), 1276 (57/8,000), 1423 (52/8,000), and 1809 (99/8,000), affecting a total of 383/8,000 (4.8%) of unrelated probands in the University of Alabama at Birmingham (UAB) cohort, associated with mild (upper panel) or severe (lower panel) phenotypes. The figure was prepared using ProteinPaint application (Zhou et al., 2016). CSRD, cysteine-serine rich domain; GAP, GTPase-activating protein; GRD, GAP related domain; NF1, neurofibromatosis type 1; PH, pleckstrin homology-like domain; Sec14, Sec14 homology-like domain; Syn, syndecan binding domain; TBD, tubulin-binding domain

In this cross-sectional study, we investigated the clinical spectrum of 281 individuals from 237 unrelated families identified through clinical genetic testing as being heterozygous for a missense variant at p.Met1149, p.Arg1276, or p.Lys1423.

2 METHODS

In total, 237 unrelated probands and 44 relatives, all carrying a pathogenic NF1 missense variant at either p.Met1149 (50 probands and 19 relatives), p.Arg1276 (101 probands and 18 relatives), or p.Lys1423 (86 probands and 7 relatives), were included in this study (Figure 2). Briefly, blood samples from 220 individuals (184 probands and 36 relatives) were originally sent to the Medical Genomics Laboratory at the UAB for molecular NF1 genetic testing to establish or confirm the diagnosis of NF1. Two individuals from the UAB cohort, carrying c.3445A>T (p.Met1149Leu) and c.4268A>T (p.Lys1423Met) were excluded from the genotype–phenotype studies as these specific variants are still interpreted as “variant of uncertain significance” (VUS) or “likely pathogenic”, respectively, but not (yet) “pathogenic”, according to the here applied American College of Medical Genetics and Genomics (ACMG) recommendations (Richards et al., 2015). This initial study was expanded to include an additional 63 individuals (55 probands and 8 relatives), molecularly diagnosed in collaborating institutions (please see details in the Supporting Information Methods). The collaborating institutions and their referring physicians completed the same phenotypic checklist and as they did not have prior insight into the phenotypic associations emerging from the UAB cohort, their contributions were independent and unbiased. All variants identified in this study with the confirmed origin of the variants were submitted to the LOVD and ClinVar databases.

Details are in the caption following the image

Spectrum of pathogenic NF1 missense variants affecting p.Met1149, p.Arg1276, and p.Lys1423 in the studied cohort of 237 unrelated probands (a) and 44 relatives (b). Each number in the circle corresponds with the total number of individuals heterozygous for a specific variant. The figure was prepared using the ProteinPaint application (Zhou et al., 2016). GAP, GTPase-activating protein; GRD, GAP related domain; NF1, neurofibromatosis type 1; TBD, tubulin-binding domain

Comprehensive NF1 molecular analysis, interpretation of variant pathogenicity and collection of clinical data (see details in Supporting Information Methods) was performed as previously described (Koczkowska et al., 2018; Koczkowska et al., 2019; Messiaen et al., 2000; Richards et al., 2015; Rojnueangnit et al., 2015). Two-tailed Fisher's exact test with p < .05 considered as statistically significant was applied. The resulting p values were adjusted for multiple comparisons using the Benjamini–Hochberg (B-H) procedure with false discovery rates (FDR) at 0.05 and 0.01 (Thissen, Steinberg, & Kuang, 2002). These statistical analyses were performed with GraphPad software. The risk ratio was calculated with the STATCALC module from the Epi InfoTM package version 7.2.3.1 (http://cdc.gov/epiinfo/index.html).

This study was approved by the UAB Institutional Review Board and all individuals participating in this study or their legal guardians signed the informed consent forms for clinical genetic testing.

3 RESULTS

3.1 Description of the NF1 missense variants affecting p.Met1149, p.Arg1276, and p.Lys1423

The pathogenic missense variants described here were identified in approximately 0.4% (p.Met1149), 0.7% (p.Arg1276), and 0.7% (p.Lys1423) of probands, together affecting 1.8% (95% confidence interval: 1.5–2.1%) of unrelated NF1 individuals in the UAB cohort.

Twelve different missense variants (representing 14 different substitutions) at codons 1149, 1276, or 1423 are reported here in 237 unrelated individuals, with only 8/12 present in disease-associated public databases (as of December 2018; Figure S1) and 2/12 reported in ≥245,936 alleles in the control Genome Aggregation database (gnomAD; Tables S1–S3).

RNA-based sequencing indicated that three substitutions at NF1 codon 1423, involving the last three nucleotides of exon 32 (24), were associated with in-frame exon 32 (24) skipping during NF1 messenger RNA splicing (Table S4) and therefore were classified as splicing variants, not true missense.

All variants described in this study were classified according to the ACMG recommendations (Richards et al., 2015), with only pathogenic missense variants included in the genotype–phenotype study (Table S5).

3.2 Clinical characterization of the p.Met1149-positive cohort

Detailed clinical descriptions of 70 individuals from 51 different families heterozygous for one of four different pathogenic NF1 amino substitutions at p.Met1149 (38 probands with c.3445A>G [p.Met1149Val], a single proband with c.3445A>T [p.Met1149Leu], six probands with c.3446T>C [p.Met1149Thr] and six probands with c.3447G>A/C/T [p.Met1149Ile]) are presented in Tables S6 and S7 and Figure S2. UAB-R1495, carrying c.3445A>T (p.Met1149Leu), was excluded from the genotype–phenotype study as the interpretation of this specific variant is “variant of uncertain significance” according to the ACMG recommendations (see details in Table S5).

p.Met1149-positive individuals ≥9 years presented with a mild phenotype, including multiple CALMs (41/46) and skinfold freckles (29/44). Lisch nodules were reported in 3/29 individuals ≥9 years. No externally visible plexiform or symptomatic spinal neurofibromas were seen in this cohort (0/42 and 0/41 ≥ 9 years, respectively), except for an 18-year-old girl (UAB-R2593) having one possible spinal lesion with differential diagnosis of spinal neurofibroma versus cyst. Four of 22 adults reportedly had 2–6 cutaneous and/or subcutaneous neurofibromas, but none had been biopsied and histopathologically confirmed (Table S6). No symptomatic or asymptomatic OPG was found in all 58, including 23 individuals who underwent magnetic resonance imaging (MRI) screening. Other benign neoplasms reported in this cohort (10.5%, 6/57) included lipomas (n = 4), pilomatrixoma (n = 1), and a lesion in the right temporal lobe (n = 1). The prevalence of skeletal abnormalities, mainly pectus abnormalities (n = 8) was 24.6% (15/61). Short stature and macrocephaly were observed in 15.2% and 42.2% of cases, respectively. Thirty-one p.Met1149-positive individuals had cognitive impairment and/or learning disabilities (47%, 31/66). Although a high number of individuals with Noonan-like features (29%) was reported (Table S8), pulmonic stenosis (PS) was found only in two individuals (UAB-R9777 and UAB-R13811FN.405). Other cardiovascular abnormalities included atrial septal defect (n = 2), hypertrophic cardiomyopathy (n = 1), and quadricuspid aortic valve (n = 1). Finally, 4/24 (16.7%) cases ≥9 years with a completed phenotypic checklist did not fulfill the National Institute of Health (NIH) diagnostic criteria and 6/24 (25%) when family history was excluded as a criterion (Table S9).

3.3 Clinical characterization of the p.Arg1276- and p.Lys1423-positive cohorts

Detailed clinical descriptions of 119 individuals from 101 different families heterozygous for one of five different pathogenic NF1 amino acid substitutions at p.Arg1276 (14 probands with c.3826C>G [p.Arg1276Gly], a single proband with c.3826_3827delinsGA [p.Arg1276Glu], 80 probands with c.3827G>A [p.Arg1276Gln], three probands with c.3827G>C [p.Arg1276Pro], and three probands with c.3827G>T [p.Arg1276Leu]) and 94 individuals from 87 different families heterozygous for one of four different pathogenic NF1 amino substitutions at p.Lys1423 (seven probands with c.4267A>C [p.Lys1423Gln], 77 probands with c.4267A>G [p.Lys1423Glu], two probands with c.4268A>C [p.Lys1423Thr], and a single proband with c.4268A>T [p.Lys1423Met]) are presented in Tables S10–S13 and Figures S3 and S4. UAB-R1753, carrying c.4268A>T (p.Lys1423Met), was excluded from the genotype–phenotype study as the interpretation of this specific variant is “likely pathogenic” according to the ACMG recommendations (see details in Table S5).

Individuals carrying p.Arg1276 or p.Lys1423 pathogenic missense variants presented with more severe phenotypes compared with the p.Met1149-positive cohort (Tables S11–S13). The most striking feature associated with p.Arg1276 was the presence of symptomatic spinal neurofibromas (18/97, 18.6% all ages). As many as 17/36 (47.2%) adults (≥19 years) had symptomatic spinal tumors and an additional 4/11 (36.4%) had multiple tumors on spinal roots without clinical symptoms (Table S14). A very high load of symptomatic or asymptomatic spinal neurofibromas, but few cutaneous neurofibromas and/or pigmentary manifestations, characteristic for so-called spinal NF, was seen in 5/21 adults (Figure S5), including one proband with a family history of spinal NF (UAB-R743). The p.Lys1423 cohort was characterized by a high prevalence of externally visible plexiform neurofibromas compared with the p.Arg1276 cohort (15/48 vs. 5/64 in ≥9 years; p = .0022; Tables S16–S18), but a lower prevalence of symptomatic spinal tumors (3/65 vs. 18/97 all ages; p = .0091; Tables S14, S15, and S18). Furthermore, 82.1% of adults with p.Lys1423 (23/28), but only 35% with p.Arg1276 (14/40) had ≥2 cutaneous neurofibromas (p = .0002; Table S18).

The prevalence of CALMs and skinfold freckling was similar in both cohorts (Tables S11 and S13). Lisch nodules were more frequently reported in the p.Lys1423-positive individuals (52.5%, 31/59) compared with the p.Arg1276-positive cases (24.1%, 19/70). Despite the severe phenotypes observed in p.Arg1276-positive cases, 3/31 individuals ≥9 years with a complete phenotypic checklist did not fulfill the NIH diagnostic criteria after excluding family history (Table S19).

Symptomatic OPGs were not found in the p.Arg1276-positive individuals (0/97) and were rare in the p.Lys1423 cohort (1/74; EUR-R49). An asymptomatic OPG was identified by MRI screening in 1/48 (2.1%) p.Arg1276-positive and 6/40 (15%) p.Lys1423-positive individuals. Neoplasms, other than OPGs and neurofibromas, were observed in 8/94 (8.5%) of the p.Arg1276-positive and 11/77 (14.3%) p.Lys1423-positive individuals, including 4/8 and 7/11, respectively who developed malignant lesions (Tables S10–S12).

Similarly to the p.Met1149 cohort, Noonan-like features were frequently reported in the p.Arg1276- and p.Lys1423-positive individuals (22/106 and 24/83, respectively). The prevalence may even be higher, as some individuals were noted as having possible Noonan-like features (Tables S20 and S21), especially as Noonan-like features are more difficult to discern in adulthood (Allanson, Hall, Hughes, Preus, & Witt, 1985). Importantly, p.Arg1276 and p.Lys1423 cohorts had a high prevalence of cardiac/cardiovascular abnormalities (23.9%, 22/92 and 25%, 19/76, respectively; Tables S22 and S23), including PS (12%, 11/92 and 14.5%, 11/76, respectively). Short stature and macrocephaly were present in 17.5% (14/80) and 31.6% (24/76) of p.Arg1276-positive cases and in 41.2% (21/51) and 29.4% (15/51) of p.Lys1423-positive cases, respectively. The prevalence of cognitive impairment and/or learning disabilities was estimated at 43.8% (46/105) and 41.4% (36/87) in p.Arg1276 and p.Lys1423 cohorts, respectively.

3.4 Comparison of clinical features of the studied cohorts with “classic” NF1 population, individuals carrying nonsense variants and cohorts of individuals with previously reported NF1 genotype–phenotype correlations

Detailed results of comparisons between phenotypes in the studied groups and the NF1 codons 844-848-, 1809-, and p.Met992del-positive cohorts, “classic” NF1-affected cohorts, and the cohort of individuals with one of the 18 most recurrent nonsense variants identified in the UAB database are presented in Tables 1-3, Table S18, and Tables S24–S27.

Table 1. Comparison of clinical features of the cohort of individuals heterozygous for pathogenic NF1 missense variants affecting p.Met1149 with the cohorts of individuals with pathogenic NF1 missense variants affecting codons 1809 and 844-848, the NF1 p.Met992del as well as with large-scale previously reported cohorts of individuals with “classic” NF1
NF1 feature N (%) p Value (two-tailed Fisher's exact test)
p.Met1149 p.Met992del p.Arg1809 aa 844-848 Previously reported NF1 cohorts p.Met1149 versus p.Met992del p.Met1149 versus p.Arg1809 p.Met1149 versus aa 844-848 p.Met1149 versus “classic” NF1
>5 CALMs 62/69 (89.9) 165/182 (90.7) 157/169 (92.9) 130/157 (82.8) 1,537/1,728 (89)
Skinfold freckling 40/65 (61.5) 105/171 (61.4) 95/161 (59) 104/144 (72.2) 1,403/1,667 (84.2) <0.0001**
Lisch nodules 3/44 (6.8) 16/139 (11.5) 12/120 (10) 42/98 (42.9) 729/1,237 (58.9) <0.0001** <0.0001**
Major external plexiform neurofibromas 0/42 (0) 0/125 (0) 0/105 (0) 36/92 (39.1) 120/648 (18.5) <0.0001 ** 0.0005 **
Cutaneous neurofibromas 0–3/24 (0–12.5) 0–1/57 (0–1.8) 0/57 (0) 47/69 (68.1) 656/723 (90.7) <0.0001** <0.0001**
Subcutaneous neurofibromas 0–3/22 (0–13.6) 0–3/36 (0–8.3) 0–5/57 (0–8.8) 33/65 (50.8) 297/515 (57.7) <0.0001** <0.0001**
Symptomatic spinal neurofibromas 0/59 (0) 1/165 (0.6) 0/76 (0) 13/127 (10.2) 36/2,058 (1.8)
Symptomatic OPGs 0/58 (0) 0/170 (0) 0/139 (0) 12/136 (8.8) 64/1,650 (3.9)
Asymptomatic OPGs 0/23 (0) 1/41 (2.4) 0/38 (0) 18/63 (28.6) 70/519 (13.5) 0.0023*
Other malignant neoplasms 0/57 (0) 1/126 (0.8) 2/155 (1.3) 13/139 (9.4) 18/523 (3.4)
Skeletal abnormalities 15/61 (24.6) 30/172 (17.4) 21/126 (16.7) 48/144 (33.3) 144/948 (15.2)
Scoliosis 2/20 (10) 7/57 (12.3) 6/48 (12.5) 20/64 (31.3) 51/236 (21.6)
Cognitive impairment and/or learning disabilities 31/66 (47) 58/176 (33) 80/159 (50.3) 56/138 (40.6) 190/424 (44.8)
Noonan-like phenotype 18/62 (29) 19/166 (11.5) 46/148 (31.1) 10/134 (7.5) 57/1,683 (3.4) 0.0023* 0.0001** <0.0001**
Short stature 5/33 (15.2) 16/118 (13.6) 32/111 (28.8) 15/91 (16.5) 109/684 (15.9)
Macrocephaly 19/45 (42.2) 30/132 (22.7) 31/107 (29) 36/98 (36.7) 239/704 (33.9)
Pulmonic stenosis 2/52 (3.9) 8/160 (5) 14/132 (10.6) 2/113 (1.8) 25/2,322 (1.1)
Cardiovascular abnormalities 5/52 (9.6) 16/160 (10) 21/118 (17.8) 16/113 (14.2) 54/2,322 (2.3)
  • Note: Statistically significant p values with FDR of 0.05 (indicated by*) and 0.01 (indicated by**) after correction for multiple testing using Benjamini–Hochberg procedure (see details in Table S24). After applying the Benjamini–Hochberg correction, p ≤ .0023 and p ≤ .0005 remained statistically significant at FDR of 0.05 and 0.01, respectively. The black arrows indicate the statistically significant differences of the NF1 clinical features prevalence between the p.Met1149 group and the cohort(s) used for the comparison, with the up and down arrows representing an increase and a decrease of the prevalence in the p.Met1149 group, respectively.
  • Abbreviations: CALM, café-au-lait macule; FDR, false discovery rate; MRI, magnetic resonance imaging; OPG, optic pathway glioma.
  • a Based on data from Upadhyaya et al. (2007) and Koczkowska et al. (2019).
  • b Based on data from Pinna et al. (2015), Rojnueangnit et al. (2015), Ekvall et al. (2014), Nyström et al. (2009) and Santoro et al. (2015).
  • c Based on data from Koczkowska et al. (2018).
  • d Previous NF1 cohorts used for the comparison: Huson, Harper, and Compston (1988), Huson, Compston, Clark et al. (1989), Huson, Compston, and Harper (1989), Listernick, Charrow, Greenwald, and Mets (1994), Friedman and Birch (1997), Cnossen et al. (1998), McGaughran et al. (1999), Thakkar, Feigen, and Mautner (1999), Lin et al. (2000), Blazo et al. (2004), Khosrotehrani et al. (2005), Plotkin et al. (2012), and/or Blanchard et al. (2016).
  • e In individuals ≥9 years old.
  • f In individuals ≥19 years old.
  • g Individuals with few (2–6) cutaneous and/or subcutaneous “neurofibromas,” none were biopsied and therefore none have been histologically confirmed.
  • h The absence of symptomatic OPGs was determined by ophthalmological examination and/or by MRI.
  • i Including only individuals without signs of symptomatic OPGs who underwent MRI examination.
  • j Only malignant neoplasms, not including OPGs and neurofibromas, have been taken into account.
  • k A single case of neuroblastoma (n = 1) was found in the NF1 p.Met992del cohort, no follow-up information on this individual was available.
  • l Breast cancer (n = 1) and Ewing sarcoma (n = 1) were found in the NF1 p.Arg1809 cohort, no follow-up information on these individuals was available.
  • m An individual was classified as having a Noonan-like phenotype when at least two of the following features were present: short stature, low set ears, hypertelorism, midface hypoplasia, webbed neck, pectus abnormality, and/or pulmonic stenosis.
  • n As no specific growth curves are available for the Hispanic and Asian populations, Hispanic and Asian individuals were excluded as having short or normal stature.
Table 2. Comparison of clinical features of the cohort of individuals heterozygous for pathogenic NF1 missense variants affecting p.Arg1276 with the cohorts of individuals with pathogenic NF1 missense variants affecting codons 1809 and 844-848, the NF1 p.Met992del as well as with large-scale previously reported cohorts of individuals with “classic” NF1
NF1 feature N (%) p Value (two-tailed Fisher's exact test)
p.Arg1276 p.Met992del p.Arg1809 aa 844-848 Previously reported NF1 cohorts p.Arg1276 versus p.Met992del p.Arg1276 versus p.Arg1809 p.Arg1276 versus aa 844-848 p.Arg1276 versus “classic” NF1
>5 CALMs 111/119 (93.3) 165/182 (90.7) 157/169 (92.9) 130/157 (82.8) 1,537/1,728 (89)
Skinfold freckling 74/112 (66.1) 105/171 (61.4) 95/161 (59) 104/144 (72.2) 1,403/1,667 (84.2) <0.0001**
Lisch nodules 19/70 (24.1) 16/139 (11.5) 12/120 (10) 42/98 (42.9) 729/1,237 (58.9) 0.0059* 0.0038* <0.0001**
Major external plexiform neurofibromas 5/64 (7.8) 0/125 (0) 0/105 (0) 36/92 (39.1) 120/648 (18.5) 0.0040* 0.0070* <0.0001**
Cutaneous neurofibromas 14/40 (35) 0–1/57 (0–1.8) 0/57 (0) 47/69 (68.1) 656/723 (90.7) <0.0001** <0.0001** 0.0012* <0.0001**
Subcutaneous neurofibromas 21/37 (56.8) 0–3/36 (0–8.3) 0–5/57 (0–8.8) 33/65 (50.8) 297/515 (57.7) <0.0001** <0.0001**
Symptomatic spinal neurofibromas 18/97 (18.6) 1/165 (0.6) 0/76 (0) 13/127 (10.2) 36/2,058 (1.8) <0.0001** <0.0001** <0.0001**
Symptomatic OPGs 0/97 (0) 0/170 (0) 0/139 (0) 12/136 (8.8) 64/1,650 (3.9) 0.0016*
Asymptomatic OPGs 1/48 (2.1) 1/41 (2.4) 0/38 (0) 18/63 (28.6) 70/519 (13.5) 0.0002**
Other malignant neoplasms 4/94 (4.3) 1/126 (0.8) 2/155 (1.3) 13/139 (9.4) 18/523 (3.4)
Skeletal abnormalities 32/100 (32) 30/172 (17.4) 21/126 (16.7) 48/144 (33.3) 144/948 (15.2) 0.0070* 0.0076* 0.0001**
Scoliosis 8/35 (22.9) 7/57 (12.3) 6/48 (12.5) 20/64 (31.3) 51/236 (21.6)
Cognitive impairment and/or learning disabilities 46/105 (43.8) 58/176 (33) 80/159 (50.3) 56/138 (40.6) 190/424 (44.8)
Noonan-like phenotype 22/106 (20.8) 19/166 (11.5) 46/148 (31.1) 10/134 (7.5) 57/1,683 (3.4) 0.0037* <0.0001**
Short stature 14/80 (17.5) 16/118 (13.6) 32/111 (28.8) 15/91 (16.5) 109/684 (15.9)
Macrocephaly 24/76 (31.6) 30/132 (22.7) 31/107 (29) 36/98 (36.7) 239/704 (33.9)
Pulmonic stenosis 11/92 (12) 8/160 (5) 14/132 (10.6) 2/113 (1.8) 25/2,322 (1.1) 0.0034* <0.0001**
Cardiovascular abnormalities 22/92 (23.9) 16/160 (10) 21/118 (17.8) 16/113 (14.2) 54/2,322 (2.3) 0.0055** <0.0001**
  • Note: Statistically significant p values with FDR of 0.05 (indicated by *) and 0.01 (indicated by **) after correction for multiple testing using Benjamini–Hochberg procedure (see details in Table S25). After applying the Benjamini–Hochberg correction, p ≤ .0076 and p ≤ .0002 remained statistically significant at FDR of 0.05 and 0.01, respectively. The black arrows indicate the statistically significant differences of the NF1 clinical features prevalence between the p.Arg1276 group and the cohort(s) used for the comparison, with the up and down arrows representing an increase and a decrease of the prevalence in the p.Arg1276 group, respectively.
  • Abbreviations: CALM, café-au-lait macule; FDR, false discovery rate; MPNST, malignant peripheral nerve sheath tumor; MRI, magnetic resonance imaging; OPG, optic pathway glioma.
  • a Based on data from Upadhyaya et al. (2007) and Koczkowska et al. (2019).
  • b Based on data from Pinna et al. (2015), Rojnueangnit et al. (2015), Ekvall et al. (2014), Nyström et al. (2009), and Santoro et al. (2015).
  • c Based on data from Koczkowska et al. (2018).
  • d Previous NF1 cohorts used for the comparison: Huson et al. (1988), Huson, Compston, Clark et al. (1989), Huson, Compston, and Harper (1989), Listernick et al. (1994), Friedman and Birch (1997), Cnossen et al. (1998), McGaughran et al. (1999), Thakkar et al. (1999), Lin et al. (2000), Blazo et al. (2004), Khosrotehrani et al. (2005), Plotkin et al. (2012), and/or Blanchard et al. (2016).
  • e In individuals ≥9 years old.
  • f In individuals ≥19 years old.
  • g Individuals with few (2–6) cutaneous and/or subcutaneous “neurofibromas,” none were biopsied and therefore none have been histologically confirmed.
  • h The overall prevalence of symptomatic spinal neurofibromas in all individuals was 18.6% (18/97) but in adults 47.2% (17/36 ≥ 19 years old).
  • i The absence of symptomatic OPGs was determined by ophthalmological examination and/or by MRI.
  • j Including only individuals without signs of symptomatic OPGs who underwent MRI examination.
  • k Only malignant neoplasms, not including OPGs and neurofibromas, have been taken into account.
  • l Astrocytoma (n = 2), colon cancer (n = 1) and MPNST (n = 1) were found in the NF1 p.Arg1276 cohort.
  • m A single case of neuroblastoma (n = 1) was found in the NF1 p.Met992del cohort, no follow-up information on this individual was available.
  • n Breast cancer (n = 1) and Ewing sarcoma (n = 1) were found in the NF1 p.Arg1809 cohort, no follow-up information on these individuals was available.
  • o An individual was classified as having a Noonan-like phenotype when at least two of the following features were present: short stature, low set ears, hypertelorism, midface hypoplasia, webbed neck, pectus abnormality, and/or pulmonic stenosis.
  • p As no specific growth curves are available for the Hispanic and Asian populations, Hispanic and Asian individuals were excluded as having short or normal stature.
Table 3. Comparison of clinical features of the cohort of individuals heterozygous for pathogenic NF1 missense variants affecting p.Lys1423 with the cohorts of individuals with pathogenic NF1 missense variants affecting codons 1809 and 844-848, the NF1 p.Met992del as well as with large-scale previously reported cohorts of individuals with “classic” NF1
NF1 feature N (%) p Value (two-tailed Fisher's exact test)
p.Lys1423 p.Met992del p.Arg1809 aa 844-848 Previously reported NF1 cohorts p.Lys1423 versus p.Met992del p.Lys1423 versus p.Arg1809 p.Lys1423 versus aa 844-848 p.Lys1423 versus “classic” NF1
>5 CALMs 86/91 (94.5) 165/182 (90.7) 157/169 (92.9) 130/157 (82.8) 1,537/1,728 (89)
Skinfold freckling 65/85 (76.5) 105/171 (61.4) 95/161 (59) 104/144 (72.2) 1,403/1,667 (84.2) 0.0074*
Lisch nodules 31/59 (52.5) 16/139 (11.5) 12/120 (10) 42/98 (42.9) 729/1,237 (58.9) <0.0001** <0.0001**
Major external plexiform neurofibromas 14/48 (29.2) 0/125 (0) 0/105 (0) 36/92 (39.1) 120/648 (18.5) <0.0001** <0.0001**
Cutaneous neurofibromas 23/28 (82.1) 0–1/57 (0–1.8) 0/57 (0) 47/69 (68.1) 656/723 (90.7) <0.0001** <0.0001**
Subcutaneous neurofibromas 13/23 (56.5) 0–3/36 (0–8.3) 0–5/57 (0–8.8) 33/65 (50.8) 297/515 (57.7) <0.0001** <0.0001**
Symptomatic spinal neurofibromas 3/65 (4.6) 1/165 (0.6) 0/76 (0) 13/127 (10.2) 36/2,058 (1.8)
Symptomatic OPGs 1/74 (1.4) 0/170 (0) 0/139 (0) 12/136 (8.8) 64/1,650 (3.9)
Asymptomatic OPGs 6/40 (15) 1/41 (2.4) 0/38 (0) 18/63 (28.6) 70/519 (13.5)
Other malignant neoplasms 7/77 (9.1) 1/126 (0.8) 2/155 (1.3) 13/139 (9.4) 18/523 (3.4) 0.0052* 0.0070*
Skeletal abnormalities 34/83 (41) 30/172 (17.4) 21/126 (16.7) 48/144 (33.3) 144/948 (15.2) <0.0001** 0.0002** <0.0001**
Scoliosis 10/27 (37) 7/57 (12.3) 6/48 (12.5) 20/64 (31.3) 51/236 (21.6)
Cognitive impairment and/or learning disabilities 36/87 (41.4) 58/176 (33) 80/159 (50.3) 56/138 (40.6) 190/424 (44.8)
Noonan-like phenotype 24/83 (28.9) 19/166 (11.5) 46/148 (31.1) 10/134 (7.5) 57/1,683 (3.4) 0.0011** <0.0001** <0.0001**
Short stature 21/51 (41.2) 16/118 (13.6) 32/111 (28.8) 15/91 (16.5) 109/684 (15.9) 0.0002** 0.0022* <0.0001**
Macrocephaly 15/51 (29.4) 30/132 (22.7) 31/107 (29) 36/98 (36.7) 239/704 (33.9)
Pulmonic stenosis 11/76 (14.5) 8/160 (5) 14/132 (10.6) 2/113 (1.8) 25/2,322 (1.1) 0.0010** <0.0001**
Cardiovascular abnormalities 19/76 (25) 16/160 (10) 21/118 (17.8) 16/113 (14.2) 54/2,322 (2.3) 0.0053** <0.0001**
  • Note: Statistically significant p values with FDR of 0.05 (indicated by *) and 0.01 (indicated by **) after correction for multiple testing using Benjamini–Hochberg procedure (see details in Table S26). After applying the Benjamini–Hochberg correction, p ≤ .0074 and p ≤ .0011 remained statistically significant at FDR of 0.05 and 0.01, respectively. The black arrows indicate the statistically significant differences of the NF1 clinical features prevalence between the p.Lys1423 group and the cohort(s) used for the comparison, with the up and down arrows representing an increase and a decrease of the prevalence in the p.Lys1423 group, respectively.
  • Abbreviations: CALM, café-au-lait macule; FDR, false discovery rate; MRI, magnetic resonance imaging; OPG, optic pathway glioma.
  • a Based on data from Upadhyaya et al. (2007) and Koczkowska et al. (2019).
  • b Based on data from Pinna et al. (2015), Rojnueangnit et al. (2015), Ekvall et al. (2014), Nyström et al. (2009), and Santoro et al. (2015).
  • c Based on data from Koczkowska et al. (2018).
  • d Previous NF1 cohorts used for the comparison: Huson et al. (1988), Huson, Compston, Clark et al. (1989), Huson, Compston, and Harper (1989), Listernick et al. (1994), Friedman and Birch (1997), Cnossen et al. (1998), McGaughran et al. (1999), Thakkar et al. (1999), Lin et al. (2000), Blazo et al. (2004), Khosrotehrani et al. (2005), Plotkin et al. (2012), and/or Blanchard et al. (2016).
  • e In individuals ≥9 years old.
  • f In individuals ≥19 years old.
  • g Individuals with few (2–6) cutaneous and/or subcutaneous “neurofibromas,” none were biopsied and therefore none have been histologically confirmed.
  • h The absence of symptomatic OPGs was determined by ophthalmological examination and/or by MRI.
  • i Including only individuals without signs of symptomatic OPGs who underwent MRI examination.
  • j Only malignant neoplasms, not including OPGs and neurofibromas, have been taken into account.
  • k Astrocytoma (n = 1), rhabdomyosarcoma (n = 1), hypothalamic glioma (n = 2), brainstem glioma (n = 1), colon adenocarcinoma (n = 1), and cerebellar glioblastoma (n = 1) were found in the NF1 p.Lys1423 cohort.
  • l A single case of neuroblastoma (n = 1) was found in the NF1 p.Met992del cohort, no follow-up information on this individual was available.
  • m Breast cancer (n = 1) and Ewing sarcoma (n = 1) were found in the NF1 p.Arg1809 cohort, no follow-up information on these individuals was available.
  • n An individual was classified as having a Noonan-like phenotype when at least two of the following features were present: short stature, low set ears, hypertelorism, midface hypoplasia, webbed neck, pectus abnormality, and/or pulmonic stenosis.
  • o As no specific growth curves are available for the Hispanic and Asian populations, Hispanic and Asian individuals were excluded as having short or normal stature.

All missense variants studied in the current research were associated with a high prevalence of Noonan-like phenotypes compared with the general NF1 population and/or the cohort carrying an NF1 nonsense variant (all p < .0001, significant at FDR of 0.01 after B-H correction). Moreover, p.Arg1276- and p.Lys1423-positive individuals had a very significantly increased prevalence of cardiac/cardiovascular abnormalities, including PS, compared with the “classic” NF1 and nonsense variant cohorts (all p < .0001, significant at FDR of 0.01 after B-H correction).

Phenotype in p.Met1149-positive cases were similar to that of individuals with the p.Met992del and p.Arg1809 pathogenic variants, including paucity of superficial plexiform and histopathologically confirmed cutaneous and/or subcutaneous neurofibromas. No symptomatic spinal neurofibromas, symptomatic OPGs, or malignant neoplasms were found in this cohort (Table 1).

Compared with the general NF1 population, p.Arg1276-positive individuals showed a high prevalence of symptomatic spinal neurofibromas (p < .0001, significant at FDR of 0.01 after B-H correction) and a lower prevalence of cutaneous neurofibromas (p < .0001, significant at FDR of 0.01 after B-H correction).

Pathogenic NF1 missense variants at p.Lys1423 may predispose to major external plexiform neurofibromas compared with “classic” NF1-affected cohorts (29.2% vs.18.5%; p = .0863, but not significant).

Both p.Arg1276 and p.Lys1423 cohorts had a higher incidence of skeletal abnormalities (Table S28) compared with the general NF1 population (both p ≤ .0001, significant at FDR of 0.01 after B-H correction).

There were no statistical differences in the prevalence of NF1 clinical features between cohorts of individuals heterozygous for p.Met1149, p.Arg1276, or p.Lys1423 referred to UAB and to the collaborating European institutions (Tables S29 and S30).

4 DISCUSSION

NF1 and Noonan syndrome (NS; MIM# 163950) represent RASopathies, a group of phenotypically related conditions, caused by pathogenic variants in genes involved in the RAS/mitogen-activated protein kinase signaling transduction pathway. Due to some overlapping phenotypic features, a clinical diagnosis can be complicated. “Classic” NF1 cases presenting with Noonan-like features were classified as having neurofibromatosis-Noonan syndrome (NFNS; MIM# 601321), first described 30 years ago (Allanson, Hall, & Van Allen, 1985; Opitz & Weaver, 1985). Although few cases have been reported to carry both a pathogenic NF1 and PTPN11 (MIM# 176876) variant (Bertola et al., 2005; Nyström et al., 2009; Thiel et al., 2009), as a rule, NF1 is the genetic cause underlying NFNS. De Luca et al. (2005) identified pathogenic variants spread across the NF1 gene, including nonsense, missense, out-of-frame and small in-frame deletions, and one multiexon deletion in 16/17 unrelated NFNS individuals. Among four individuals with NFNS and PS, 2/4 carried an in-frame single amino acid deletion and 1/4 a pathogenic missense variant with 2/3 located in the GTPase-activating protein-related domain (GAP-GRD). Ben-Shachar et al. (2013) reported a higher prevalence of PS in NFNS individuals compared with the general NF1 population (9/35, 26% vs. 25/2322, 1.1%; p < .001), with NFNS cases carrying a nontruncating pathogenic variant having the highest risk (p < .001). However, this study did not provide more specific information related to location or type of nontruncating pathogenic variants and was not adjusted for multiple comparisons.

So far, only two specific NF1 pathogenic variants have been associated with a statistically significant increased prevalence of Noonan-like features compared with “classic” NF1-affected cohorts, i.e., p.Arg1809 and p.Met992del, both located outside the GRD (Koczkowska et al., 2019; Pinna et al., 2015; Rojnueangnit et al., 2015; Upadhyaya et al., 2007). Here, we report that NF1 pathogenic missense variants at p.Met1149, p.Arg1276, and p.Lys1423 also are associated with this distinct phenotype (all p < .0001, significant at FDR of 0.01 after B-H correction), with no pathogenic variants in other NS genes detected (Tables S6, S8, S10, S12, S20, and S21). A high prevalence of PS was associated with p.Arg1276, p.Lys1423 and p.Arg1809 compared to the general NF1 population as well as the UAB NF1 nonsense variant cohort (all P < 0.0001, significant at FDR of 0.01 after B-H correction, Tables 2, 3 and Table S18). These observations provide evidence that although PS overall is more frequently observed in individuals carrying one of the nontruncating pathogenic variants in the current and previous studies (48/625, 7.7%), the prevalence of PS and other cardiac/cardiovascular abnormalities is highest in the p.Arg1276- and p.Lys1423- positive individuals, both located in the GRD (at least 10-fold higher than in the “classic” NF1 population; Table 4 and Tables S31 and S32), whereas is not significantly increased in individuals carrying pathogenic variants affecting codons 844-848 and 1149. As cardiovascular abnormalities may be congenital or become symptomatic at a young age and are associated with morbidity and mortality (Friedman et al., 2002; Lin et al., 2000), all individuals carrying one of the aforementioned pathogenic NF1 missense variants should receive a detailed cardiac examination.

Table 4. Risk ratio calculations with 95% CI for the comparison of NF1 clinical features in the studied p.Met1149-, p.Arg1276-, and p.Lys1423-positive cohorts with the “classic” NF1 population
NF1 feature Risk ratio (95% CI)
p.Met1149 versus “classic” NF1 p.Arg1276 versus “classic” NF1 p.Lys1423 versus “classic” NF1
Skinfold freckling 0.73 (0.60–0.89) 0.78 (0.69–0.90)
Lisch nodules 0.12 (0.04–0.35) 0.46 (0.31–0.68)
Cutaneous neurofibromas 0.14 (0.05–0.40) 0.38 (0.25–0.59)
Subcutaneous neurofibromas 0.24 (0.08–0.68)
Symptomatic spinal neurofibromas 10.61 (6.26–17.98)
Skeletal abnormalities 2.11 (1.52–2.91) 2.70 (2.00–3.64)
Noonan-like phenotype 8.57 (5.38–13.65) 6.13 (3.90–9.62) 8.54 (5.59–13.03)
Short stature 2.58 (1.78–3.74)
Pulmonic stenosis 11.10 (5.64–21.87) 13.44 (6.87–26.30)
Cardiovascular abnormalities 10.28 (6.56–16.12) 10.75 (6.72–17.20)
  • Abbreviation: CI, confidence interval.

Watson syndrome (WS; MIM# 193520) was described in 1967 and is characterized by CALMs, PS, and intellectual disability, and is allelic to NF1 (Ben-Shachar et al., 2013; Watson, 1967). Among 24 cases with PS found in this report, one 12-year-old individual (UAB-R1256) presented solely with greater than five CALMs, PS, developmental delay, severe scoliosis, and short stature. Additionally, two children less than 4 years old (UAB-R37401FN.202 and UAB-R8917) had greater than five CALMs, PS, abnormal development with speech delay, and Noonan-like facial features as the only features. NF1 c.3827G>A (p.Arg1276Gln), identified in the largest WS family from the original study (Ben-Shachar et al., 2013; Watson, 1967) was also found in UAB-R1256. Although 40% of the p.Arg1276-positive individuals ≥9 years old (29/73) had a severe phenotype with cardiac/cardiovascular abnormalities and/or spinal neurofibromas, 26% of cases ≥9 years old (19/73) presented with only pigmentary manifestations and a variable amount of learning disabilities (Table S6). Therefore, further studies aimed at identifying potential modifying genes, unlinked to the NF1 locus, in these individuals should be considered.

Familial spinal neurofibromatosis (FSNF; MIM# 162210) is another rare subtype of NF1, characterized by the presence of multiple histopathologically confirmed neurofibromas along spinal nerve roots with few, if any, cutaneous neurofibromas, but often multiple firm subcutaneous tumors and CALMs (Korf, 2015; Pulst, Riccardi, Fain, & Korenberg, 1991; Ruggieri et al., 2015). Although pathogenic NF1 missense and splicing variants are more commonly found in these individuals (Kluwe, Tatagiba, Fünsterer, & Mautner, 2003; Messiaen, Riccardi, & Peltonen, 2003; Upadhyaya et al., 2009), no specific recurrent variants associated with symptomatic spinal neurofibromas were identified, except recently for pathogenic missense variants affecting p.Gly848 (Koczkowska et al., 2018). In the current study, we identified p.Arg1276Gln being the second specific NF1 variant associated with a high prevalence of symptomatic spinal neurofibromas (11-fold higher than in the general NF1 population; Table 4), found in 55.6% of individuals greater than 19 years (15/27; Table S10), including 4/15 with so-called spinal form of NF1 (Table S14 and Figure S5). An additional 4/6 p.Arg1276Gln-positive adults who underwent routine MRI screening had asymptomatic spinal tumors, and such individuals may possibly be eligible for treatment with MEK inhibitors. Similar to p.Gly848-positive individuals (Koczkowska et al., 2018), fewer individuals ≥19 years developed cutaneous neurofibromas compared with “classic” cohorts (p < .0001, significant at FDR of 0.01 after B-H correction; Table 2). Cutaneous neurofibromas were observed in only one-third of p.Arg1276Gln-positive cases with spinal tumors (7/19), ranging in number from 2 to 99, while the majority of NF1-affected individuals ≥30 years old with “classic” NF1 exhibit greater than 100 neurofibromas (Mautner et al., 2008). Only EUR-R32, carrying a different pathogenic variant, p.Arg1276Pro, presented with greater than 100 cutaneous and subcutaneous lesions at age of 60 years (Table S14). Among 22 individuals with spinal tumors, 16 cases had normal development in line with previous findings (Korf, 2015).

NF1 p.Arg1276 and p.Lys1423 are highly conserved residues lying in a shallow pocket in the central catalytic domain forming the RAS-binding region with the p.Arg1276 residue also called the arginine “finger,” being the most essential catalytic element for RasGAP activity (Scheffzek, Ahmadian, & Wiesmüller, 1998). Functional studies have shown that pathogenic variants affecting these residues result in a dramatic reduction of GAP activity (Poullet, Lin, Esson, & Tamanoi, 1994; Scheffzek et al., 1998; Ahmadian, Kiel, Stege, & Scheffzek, 2003). Moreover, pathogenic missense variants at residue p.Lys1423 affects the stability of the neurofibromin/RAS complex by disrupting an intramolecular salt-bridge of the GRD (Ahmadian et al., 2003).

In this study, we report an additional NF1 variant, p.Met1149Val, associated specifically with a mild form of NF1 without externally visible plexiform or symptomatic spinal neurofibromas, symptomatic OPGs or malignant neoplasms similar to the phenotypes associated with variants at p.Arg1809 and p.Met992del (Koczkowska et al., 2019; Pinna et al., 2015; Rojnueangnit et al., 2015; Upadhyaya et al., 2007). As only six probands were identified so far with either the p.Met1149Ile or p.Met1149Thr (Table S7), even larger datasets, as well as follow-up of individuals enrolled in the current study, are required to further refine a mild phenotype associated with the other substitutions at p.Met1149. Therefore, we have now shown that approximately 2.5% of all unrelated NF1 pathogenic variant-positive probands of the UAB cohort develop a mild phenotype associated with nontruncating recurrent variants at one of three residues, p.Met992, p.Arg1809, and p.Met1149. Identification of this additional genotype–phenotype correlation will benefit the genetic counseling of these individuals and allow their stratification as they may not require stringent follow-up care. Moreover, as only 75% of p.Met1149-positive individuals fulfilled the NIH diagnostic criteria when family history was excluded as a criterion (Table S9), molecular analysis significantly facilitates the NF1 diagnostic process and distinguishes Legius syndrome (MIM# 611431) from the p.Met992del, p.Arg1809, and now p.Met1149 phenotypes with clinically overlapping features.

5 CONCLUSION

Although single case reports may suggest an association of p.Arg1276 with spinal neurofibromas (Korf, Henson, & Stemmer-Rachamimov, 2005; Upadhyaya et al., 2009) or p.Lys1423 with Noonan-like features (De Luca et al., 2005) (two unrelated individuals described with each phenotype), only large datasets of postpubertal individuals, carrying the same constitutional pathogenic variant and with the phenotype recorded in a standardized way allow the establishment of clinically relevant genotype–phenotype correlations. International multicenter studies involving close collaborations between NF1 clinicians and molecular geneticists are required to unfold such associations and to enhance correct variant interpretation. Our findings demonstrate genotype–phenotype correlations at the NF1 codons p.Met1149, p.Arg1276, and p.Lys1423. Although each of the reported NF1 variants associated with a specific clinical presentation (Kehrer-Sawatzki et al., 2017; Koczkowska et al., 2018; Koczkowska et al., 2019; Pinna et al., 2015; Rojnueangnit et al., 2015; Upadhyaya et al., 2007) affects only a small percentage of NF1 individuals, together, including the current results, they affect counseling and management of approximately 10% of the NF1 population. As the number of NF1 genotype–phenotype correlations continues to accumulate, genotype-driven personalized medicine will reach a turning point in NF1 by improving the disease surveillance and stratification of NF1-affected individuals.

ACKNOWLEDGMENT

We thank the individuals and their families for participating in this study.

    CONFLICT OF INTERESTS

    The authors declare that there are no conflict of interests.

    DATA AVAILABILITY STATEMENT

    The data that support the findings of this study are available from the corresponding author upon reasonable request.

      The full text of this article hosted at iucr.org is unavailable due to technical difficulties.