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Published in final edited form as: Epilepsia. 2021 Apr 5;62(4):973–983. doi: 10.1111/epi.16854

Diverse genetic causes of polymicrogyria with epilepsy

Epilepsy Phenome/Genome Project; Epi4K Consortium
PMCID: PMC10838185  NIHMSID: NIHMS1902868  PMID: 33818783

Abstract

Objective:

We sought to identify novel genes and to establish the contribution of known genes in a large cohort of patients with nonsyndromic sporadic polymicrogyria and epilepsy.

Methods:

We enrolled participants with polymicrogyria and their parents through the Epilepsy Phenome/Genome Project. We performed phenotyping and whole exome sequencing (WES), trio analysis, and gene-level collapsing analysis to identify de novo or inherited variants, including germline or mosaic (postzygotic) single nucleotide variants, small insertion-deletion (indel) variants, and copy number variants present in leukocyte-derived DNA.

Results:

Across the cohort of 86 individuals with polymicrogyria and epilepsy, we identified seven with pathogenic or likely pathogenic variants in PIK3R2, including four germline and three mosaic variants. PIK3R2 was the only gene harboring more than expected de novo variants across the entire cohort, and likewise the only gene that passed the genome-wide threshold of significance in the gene-level rare variant collapsing analysis. Consistent with previous reports, the PIK3R2 phenotype consisted of bilateral polymicrogyria concentrated in the perisylvian region with macrocephaly. Beyond PIK3R2, we also identified one case each with likely causal de novo variants in CCND2 and DYNC1H1 and biallelic variants in WDR62, all genes previously associated with polymicrogyria. Candidate genetic explanations in this cohort included single nucleotide de novo variants in other epilepsy-associated and neurodevelopmental disease-associated genes (SCN2A in two individuals, GRIA3, CACNA1C) and a 597- kb deletion at 15q25, a neurodevelopmental disease susceptibility locus.

Significance:

This study confirms germline and postzygotically acquired de novo variants in PIK3R2 as an important cause of bilateral perisylvian polymicrogyria, notably with macrocephaly. In total, trio-based WES identified a genetic diagnosis in 12% and a candidate diagnosis in 6% of our polymicrogyria cohort. Our results suggest possible roles for SCN2A, GRIA3, CACNA1C, and 15q25 deletion in polymicrogyria, each already associated with epilepsy or other neurodevelopmental conditions without brain malformations. The role of these genes in polymicrogyria will be further understood as more patients with polymicrogyria undergo genetic evaluation.

Keywords: de novo variant, epilepsy, exome sequencing, polymicrogyria, trio

1 |. INTRODUCTION

Polymicrogyria is a developmental brain malformation characterized by the radiographic appearance of excessive and small folds of the cerebral cortex and pathological evidence of abnormal neuronal organization. Patients present with a range of clinical findings, including epilepsy, focal weakness, and oromotor apraxia. Polymicrogyria may affect the entire cerebral cortex or distinct brain regions, either bilaterally or unilaterally.1,2 Although polymicrogyria can be due to nongenetic factors, including in utero ischemia and congenital cytomegaloviral infections,35 some cases have been suspected to have a genetic basis, as polymicrogyria has been observed in families68 and because it often presents with bilateral, regionally specified abnormalities, suggesting the involvement of genes expressed in specific distributions. Among the earliest polymicrogyria genes identified were GPR56 in individuals with bilateral frontoparietal polymicrogyria,9 TUBA1A with perisylvian polymicrogyria,10 and LAMC3 with occipital polymicrogyria.11 The early identification of polymicrogyria as part of genetic syndromes associated with copy number variations (CNVs), such as the 22q11 deletion syndrome,12 was followed by studies identifying a number of recurrent CNVs associated with polymicrogyria.13 More recently, polymicrogyria has been noted in patients with overgrowth syndromes that include megalencephaly and dysmorphic features.14,15

The genes were discovered through the study of rare large multiplex families, small cohorts of patients with polymicrogyria in the setting of multisystem syndromes, case reports of whole exome sequencing (WES) findings, and targeted sequencing of candidate genes in polymicrogyria cohorts. To our knowledge, there have been no prior unbiased genome-wide sequencing studies of large polymicrogyria cohorts to evaluate the contribution of known and novel genes.

In this study, we aimed to perform trio-based WES in a multicenter, international cohort of patients with polymicrogyria and epilepsy recruited and extensively phenotyped through the Epilepsy Phenome/Genome Project (EPGP)2,16 and sequenced through the Epi4K Consortium.17

2 |. MATERIALS AND METHODS

Patients with epilepsy and polymicrogyria on brain magnetic resonance imaging (MRI) were enrolled through the EPGP, and blood samples were collected from probands and their parents16; the research presented was approved by the institutional review boards at all 26 participating enrollment sites. All MRIs were reviewed by the EPGP MRI Core for eligibility. The cohort has been previously described2; additional phenotypic data were reviewed for this report. Blood samples were collected from patients and parents; DNA was obtained from the Coriell Institute DNA Bank (Table S1). Written informed consent was provided by patients, or their parents or legal guardians if the patient was underage.

We performed WES on 86 trios with either SeqCap EZ Exome v3 or SureSelect Human All Exon–65MB exome capture kits at the Institute for Genomic Medicine (IGM), Columbia University. De novo variants were called within trios using GATK multisample calling in the protein-coding regions (CCDS, release 14, GRCh37.p13) as described previously.18,19 De novo variants were either Sanger validated in the probands and confirmed to be absent in parents in primary DNA, or predicted with high confidence using a validated machine-learning model using variant-level, individual-level, and genomic features to identify de novo variants (Table S2).19 Controls (n = 2711) used for single nucleotide variant (SNV) and indel calling and gene-level collapsing included individuals sequenced at the IGM for other studies.

In addition to de novo variants, we compiled rare inherited, hemizygous, homozygous, and compound heterozygous variants. We first listed all rare (minor allele frequency [MAF] < 1% among internal controls or any population in Exome Variant Server, Exome Aggregate Consortium [release 0.3], and gnomAD browser [v2.1.1]), putatively protein-a ltering (missense [PolyPhen-2 probably/possibly damaging], nonsense, or indels) variants residing in protein-coding regions. Genotypes were excluded if they had a quality score less than 30 or genotype quality score less than 20 in the proband. We required a minimum of 10-fold coverage at a variant site to call a homozygous genotype, and the same coverage in addition to at least five reads supporting the alternate allele to call a heterozygous variant. Inherited heterozygous variants were required to have a variant allele frequency (VAF) between 40% and 60%. For rare inherited variants, we included only those absent in the aforementioned control databases; newly hemizygous (present in proband, absent in mother), homozygous, and compound heterozygous variants were required to have a homozygote frequency of zero in all control databases listed above. Candidate variants are listed in Tables S3 and S4.

We evaluated for de novo or inherited CNVs using the CoNIFER pipeline as previously described.20,21

Variants were assessed for pathogenicity using the principles outlined by the American College of Medical Genetics.22

To assess whether inherited rare variation either augments the risk conferred by de novo alleles or confers risk independently, we performed a gene-level collapsing analysis comparing, for each protein-coding gene, the fraction of cases versus the fraction of controls with a rare, functional variant. We performed three separate case–control analyses comparing (1) ultrarare (absent from control databases), functional (missense and loss-of-function) variants; (2) ultrarare, loss-of-function variants only; and (3) rare (MAF < .1%) biallelic variants. We used a previously published method with a modification to allow for mosaic variants in the ultrarare comparisons.19

3 |. RESULTS

Among 86 individuals (39 male, 47 female) with polymicrogyria and epilepsy, 10 probands (12%) had a pathogenic or likely pathogenic de novo variant identified by individual case analysis (Table 1). Seven patients harbored heterozygous de novo variants in PIK3R2: five with the recurrent pathogenic PIK3R2 variant Gly373Arg, one with PIK3R2 Lys376Glu (pathogenic), and one with Asp557Tyr (likely pathogenic). Three of the seven had VAFs between 13% and 16%, which deviates from the 50% expected for a heterozygous variant (binomial probability distribution), a finding consistent with mosaicism due to the mutational event occurring during early postzygotic development.

TABLE 1.

PMG and related phenotypes for patients with pathogenic or likely pathogenic de novo variants

Patient Genetic variant (ACMG classification) (VAF) Sex MRI findings Epilepsy (onset) Other findings
pmgnd28481pzl PIK3R2 Gly373Arg (P) (58%) F BPP (L > R) Focal epilepsy (9 years) Macrocephaly, OFC +3.4 SD (7 week); global delay (nonverbal)
pmgnd32643qol PIK3R2 Gly373Arg (P) (13%) M BPP ventriculomegaly Focal epilepsy (7 years) Macrocephaly, OFC +4.3 SD (7 years); speech delay, resolved
pmgnd32335pcl PIK3R2 Gly373Arg (P) (16%) F BGP Focal epilepsy (7 years) Macrocrania
pmgnd32721oml PIK3R2 Gly373Arg (P) (58%) F BPP, posterior predominant Focal epilepsy (3 years) Macrocephaly, OFC +6.1 SD (2.5 years); normal early milestones
pmgnd40053ajs1 PIK3R2 Gly373Arg (P) (16%) M BPP ventriculomegaly Focal epilepsy (15 months) Macrocephaly, OFC +3.2 SD (birth), +7.1 SD (8 years); mild developmental delay
pmgnd32503qwl PIK3R2 Lys376Glu (P) (41%) F BPP ventriculomegaly Focal epilepsy (6 years) Macrocephaly, shunted for hydrocephalus; language delay
pmgnd38965ajpl PIK3R2 Asp557Tyr (LP) (41%) F BPP ventriculomegaly Infantile spasms, focal epilepsy (3 months) Macrocephaly, OFC +7.0 SD (17 months)
pmgnd32468nwl CCND2 Thr280Asp (P) (51%) F BPP ventriculomegaly Infantile spasms, generalized tonic and myoclonic (6 months) Macrocephaly OFC +3.1 SD (5 months)
pmgnd40502bikl DYNC1H1 Arg2244Trp (LP) (55%) F BPP Epileptic spasms, focal epilepsy (13 months) Acquired microcephaly, OFC 26th %ile (15 months), —2.1 SD (14 years); intellectual impairment (expressive language deficits, no reading)
pmgnd37993pwl WDR62 Arg512Gly (VUS), Ile594ThrfsTer3 (LP) (42%/51%) M BGP Focal epilepsy (10 years) Microcephaly OFC −2.05 SD (10 years); severe ID

ACMG, American College of Medical Genetics; BGP, bilateral generalized PMG; BPP, bilateral perisylvian PMG; F, female; ID, intellectual disability; L, left; LP, likely pathogenic; M, male; MRI, magnetic resonance imaging; OFC, occipitofrontal circumference; P, pathogenic; PMG, polymicrogyria; R, right; SD, standard deviation; VAF, variant allele frequency; VUS, variant of unknown significance. All variants are de novo with the exception of the biallelic variants in WDR6

All seven PIK3R2 patients had bilateral polymicrogyria, most prominent in the perisylvian region (Figure 1, Table 1). Six patients presented with focal epilepsy, with onset between 15 months and 9 years, and the other one presented with infantile spasms at 3 months of age. There was a wide developmental range among them; some had normal milestones or mild delays, whereas others were severely impaired. Given the association between this gene and overgrowth syndromes involving brain malformations (hemimegalencephaly, megalencephaly–capillary malformation syndrome, and megalencephaly–polydactyly–polymicrogyria–hydrocephalus),15,23 we specifically evaluated for other features of these syndromes. All patients displayed macrocephaly with occipitofrontal circumference measuring from +3.1 to +7.1 standard deviation (SD) greater than the mean for age for those with available measurements (Table 1). None had capillary malformations of the skin, digital abnormalities, or other syndromic features. Interestingly, there was no correlation of VAF with the extent of brain malformation or other features, meaning that the patients with mosaic PIK3R2 pathogenic variants were not more mildly affected.

FIGURE 1.

FIGURE 1

(A) Location of previously reported brain malformation variants in PIK3R2 are shown15,3234 in maroon above the protein diagram with the number of times the variant has been reported. Below the protein diagram are the variants identified in this study. Gray shading indicates the exon level intolerance score (LIMBR42). Higher numbers indicate more tolerance to functional variation. Both previously reported and new cases are enriched in regions of lower tolerance. (B) Magnetic resonance images from PIK3R2 cases. VAF, variant allele frequency

We observed de novo variants in one case each of CCND2, associated with bilateral perisylvian polymicrogyria (BPP) and enlarged ventricles on MRI,24 and DYNC1H1, associated with BPP.25 We identified a single case with biallelic variants in the gene WDR62, previously associated with microcephaly and a range of brain malformations26; our case also presented with microcephaly. The phenotypic features of these three individuals are consistent with the reported literature for the corresponding genes (Table 1).

Among 86 trios, we identified 99 de novo variants (average = 1.15 per trio; Table S2). Three genes were found to harbor de novo variants in multiple probands: PIK3R2 (n = 7, described above), SCN2A (n = 2), and AASDH (n = 2, variants predicted to be benign). Only PIK3R2 had more than expected to occur by chance given the size of the cohort, gene size, and mutability, and correcting for the ~18K protein- coding genes evaluated in this study (FitDNM,27 p = 3.6 × 10−24). Beyond the enrichment of rare variants in PIK3R2 in polymicrogyria cases in the ultrarare functional collapsing analysis (Fisher exact test p = 9 × 10−10), no other gene was significantly enriched in cases versus controls across any of the models (Figure 2, Table S5).

FIGURE 2.

FIGURE 2

Quantile-quantile plot for gene-level association tests interrogating ultrarare functional variants. Black dots represent transformed p values against the expected transformed p values for genes with qualifying variants. The red line indicates the expectation under the null model of no effect on risk

To estimate aggregate genetic signal attributed to de novo variation, we performed “hot-zone” analysis as described previously,18,19 to compare the fraction of cases versus controls harboring a highly likely damaging de novo variant in genes intolerant to functional variation, as estimated using the Residual Variation Intolerance Score method.28 We observed that 26% of polymicrogyria probands had a highly likely damaging de novo variant, compared to 9.6% of previously published control trios (p = .04).29 The increased de novo variant burden among polymicrogyria cases is largely attributed to the known or likely pathogenic de novo variants above, as the percentage dropped to 15% (p = .47) following the removal of the 10 genetically explained individuals.

Despite the majority of aggregate de novo variant burden being attributed to variants in PIK3R2, CCND2, and DYNC1H1, a small number of additional likely de novo candidates were also identified (Table S2). We identified two de novo likely pathogenic missense variants in SCN2A, both of whom had neonatal epilepsy presenting at 1 month of age; one had focal seizures, and the other had tonic seizures and burst suppression on electroencephalogram, consistent with Ohtahara syndrome. We identified a de novo variant in CACNA1C, a gene reported in the context of Timothy syndrome, features of which were not reported in our case. Similarly, we identified a de novo variant in GRIA3, a gene associated with intellectual disability, in a normocephalic child with BPP, normal early developmental milestones, and school difficulty recognized only at age 6 years. The CACNA1C and GRIA3 variants are predicted to be likely pathogenic in their known disease contexts, but because these genes are not associated with polymicrogyria and our cases did not display the recognized gene- associated phenotypes, we classified the variants as variants of uncertain significance.

In addition to SNVs, we identified a rare de novo 597-kb deletion on chromosome 15q25.2 encompassing nine genes in one individual with polymicrogyria, focal seizures with onset at 18 years, and normal development (Figure 3). This locus has been reported as a rare susceptibility allele for neurodevelopmental disorders,30,31 although no reported individuals with a 15q25.2 deletion have polymicrogyria. We classified the 15q25.2 deletion as a variant of unknown significance (VUS).

FIGURE 3.

FIGURE 3

De novo 597-k b deletion at 15q25 in pmgnd33808qu1

Rare inherited, hemizygous, homozygous, and compound heterozygous variants identified across the cohort are presented in Tables S3 and S4.

4 |. DISCUSSION

We report the genetic findings of a large cohort of patients with polymicrogyria and epilepsy analyzed with a trio-based, genome-wide approach and analyze the phenotypes of the patients with notable genetic findings. Ten of the 86 individuals studied had variants in the known polymicrogyria-related genes PIK3R2, CCND2, DYNC1H1, and WDR62, comprising 12% of our cohort. In cohort-wide analyses, including gene-level assessments of genome-wide enrichment of de novo variants and overall rare variant enrichment, only PIK3R2, a gene previously implicated in polymicrogyria,15,3234 was significantly associated with polymicrogyria. The seven individuals with rare germline or early mosaic de novo variants in PIK3R2 had bilateral, mostly perisylvian, polymicrogyria and macrocephaly, consistent with the phenotype associated with genes in the PI3K- AKT-mTOR pathway.15,3234 Note that the onset and epilepsy phenotype varied, with one patient presenting with infantile spasms at 3 months and the other six with focal epilepsy between 15 months and 9 years. Earlier seizure onset did not correlate with the degree of developmental delay or intellectual disability.

Although the genes CCND2, DYNC1H1, and WDR62 did not reach statistical significance for an association with polymicrogyria in our cohort-wide analysis, we considered the variants in these three genes pathogenic or likely pathogenic given in silico predictions, phenotype, and the reported association with polymicrogyria in the literature. Specifically, the presence of macrocephaly in the patient with the CCND2 variant and microcephaly in the patient with the WDR62 biallelic variants are consistent with these genes’ described phenotypes.

An additional five individuals with polymicrogyria harbored variants in genes or loci that are currently associated with epilepsy or other neurodevelopmental conditions but not definitively with brain malformations. Two had de novo likely pathogenic variants in SCN2A, the gene encoding the voltage-gated sodium channel alpha 2 subunit, which is associated with epilepsy, intellectual disability, and autism spectrum disorder.35,36 The two variants in SCN2A were predicted to be likely pathogenic, consistent with the patients’ neonatal epilepsy presentations, as SCN2A is a known cause of Ohtahara syndrome. Although SCN2A’s connection to polymicrogyria is emerging,35,37 we could not conclude definitively that the SCN2A variants contributed to the brain malformation in these patients. One case had a de novo variant in CACNA1C, and another case had a de novo variant in GRIA3, each predicted to be likely pathogenic. As these genes are associated with clinical phenotypes unrelated to polymicrogyria, we considered the variants to be VUSs. Our findings add to emerging reports implicating ion channel genes in the pathogenesis of polymicrogyria (e.g., SCN3A and GRIN2D3841). Finally, we identified one patient with polymicrogyria and epilepsy with a deletion at 15q25.2. These genes and this CNV locus do not have a definitive prior association in the literature with polymicrogyria, so we consider their variants, even when compelling in other phenotypic contexts, as VUSs with respect to polymicrogyria.

Although polymicrogyria can occur in isolation or in conjunction with other features, we note that our study required that individuals have polymicrogyria and epilepsy as well as both parents available for DNA samples. It may be informative to compare our results with those in cohorts with different ascertainment strategies, for example, those studies of polymicrogyria not requiring that patients have epilepsy or including individuals with more syndromic presentations.

In summary, exome sequencing in a large cohort with polymicrogyria and epilepsy provided a likely causative explanation for 12% of the patients and a possible genetic cause for an additional 6%. Our findings support a role for genetic testing in the clinical setting for patients with polymicrogyria, particularly those with epilepsy. Specifically, polymicrogyria with macrocephaly suggests that a germline or mosaic variant in PIK3R2, or a related PI3K-AKT-mTOR pathway gene, may be involved. As treatment trials emerge for neurodevelopmental disorders related to this pathway, a genetic diagnosis may provide the opportunity for patients with polymicrogyria to participate in clinical trials. Other candidate polymicrogyria genes will require sequencing of additional cohorts to validate their role in polymicrogyria.

Supplementary Material

Supplementary Table S1
Supplementary Tables S2-S5

Key Points.

  • Polymicrogyria is a developmental brain malformation associated with epilepsy with heterogeneous etiologies, including genetic causes

  • De novo variants in PIK3R2 represent an important cause of polymicrogyria, particularly perisylvian polymicrogyria with megalencephaly

  • Additional polymicrogyria-associated variants identified in our cohort include CCND2, DYNC1H1, and WDR62

  • Other genes and copy number variants, including SCN2A, traditionally associated with epilepsy may also be associated with polymicrogyria

ACKNOWLEDGMENTS

We thank the patients and families who enrolled in the Epilepsy Phenotype/Genotype Project as well as the Community Referral Network of physicians who referred patients to the study. This study was supported by the National Institute of Neurological Disorders and Stroke (Epilepsy Phenome/Genome Project NS053998; Epi4K-Administrative Core NS077274; Epi4K-Sequencing, Biostatistics, and Bioinformatics Core NS077303; Epi4K-Project 1-Epileptic Encephalopathies NS077364, Epi4K-Phenotyping and Clinical Informatics Core NS077276).

The collection of control samples and data was funded in part by Biogen; Gilead Sciences; UCB; Bryan Alzheimer’s Disease Research Center, National Institute on Aging (P30AG028377); B57 SAIC-Fredrick (M11-074); National Institute of Neurological Disorders and Stroke (RC2NS070344, RC2MH089915, U01NS077303, U01NS053998, U54NS078059, P01HD080642); National Human Genome Research Institute (Yale Mendelian Genomics Center, UM1HG006504, U01HG007672); National Institute of Mental Health (K01MH098126, R01MH097971, R01MH099216, RC2MH089915); National Institute of Diabetes and Digestive and Kidney Diseases (R01DK080099); National Institute of Allergy and Infectious Diseases (Division of Intramural Research, 1R56AI098588-0 1A1); National Institute of Allergy and Infectious Diseases Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery (UM1AI100645, U19AI067854); National Center for Advancing Translational Sciences (UL1TR000040); Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD048805); Ellison Medical Foundation New Scholar Award (AG-N S-0441-08); Duke Chancellor’s Discovery Program Research Fund 2014; Neil Molberger Brain Research Fund; Endocrine Fellows Foundation Grant; Bill and Melinda Gates Foundation; Murdock Study Community Registry and Biorepository; Stanley Institute for Cognitive Genomics at Cold Spring Harbor Laboratory; Duke Genome Sequencing Clinic; New York-Presbyterian Hospital; Columbia University College Physicians and Surgeons; Columbia University Medical Center; J. Willard and Alice S. Marriott Foundation; Muscular Dystrophy Association; Nicholas Nunno Foundation; JDM Fund for Mitochondrial Research; Arturo Estopinan TK2 Research Fund; Endocrine Fellows Foundation; and Helaine B. Allen and Emily Allen Wolff.

Data collection and sharing with the Washington Heights-Inwood Columbia Aging Project (WHICAP; used for controls in this analysis) was supported by WHICAP (PO1AG07232, R01AG037212, RF1AG054023), funded by the National Institute on Aging and National Center for Advancing Translational Sciences, National Institutes of Health, through grant number UL1TR001873. The manuscript was reviewed by WHICAP investigators for scientific content and consistency of data interpretation with previous WHICAP study publications. We acknowledge the WHICAP study participants and the WHICAP research and support staff for their contributions to this study.

APPENDIX

Appendix

APPENDIX 1

Epi4K Consortium

Andrew S. Allen (Department of Biostatistics and Bioinformatics, Duke Clinical Research Institute and Center for Human Genome Variation, Duke University Medical Center, Durham, NC, USA), Vimla Aggarwal (Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA), Samuel F. Berkovic (Epilepsy Research Centre, Department of Medicine, University of Melbourne, Austin Health, Heidelberg, Victoria, Australia), Patrick Cossette (Centre of Excellence in Neuromics and University of Montreal Hospital Center [CHUM] Research Center, CHUM–Notre Dame Hospital, Montreal, Quebec, Canada), Norman Delanty (Department of Neurology, Beaumont Hospital and Royal College of Surgeons, Dublin, Ireland), Dennis Dlugos (Department of Neurology and Pediatrics, Children’s Hospital of Philadelphia, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA, USA), Evan E. Eichler (Howard Hughes Medical Institute, Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA), Michael P. Epstein (Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA), Catharine Freyer (UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA), David B. Goldstein (Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA), Renzo Guerrini (Neuroscience Department, Children’s Hospital Anna Meyer– University of Florence, Florence, Italy), Tracy Glauser (Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA), Erin L. Heinzen (Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, University of North Carolina, Chapel Hill, NC, USA), Michael R. Johnson (Centre for Clinical Translation, Division of Brain Sciences, Imperial College London, London, UK), Ruben Kuzniecky (NYU School of Medicine, New York University, New York, NY, USA), Daniel H. Lowenstein (Department of Neurology, University of California, San Francisco, San Francisco, CA, USA), Anthony G. Marson (Department of Molecular and Clinical Pharmacology, University of Liverpool, Clinical Sciences Centre, Lower Lane, Liverpool, UK), Heather C. Mefford (Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA, USA), Terence J. O’Brien (Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia), Ruth Ottman (Departments of Epidemiology and Neurology, and the G. H. Sergievsky Center, Columbia University and Division of Epidemiology, New York State Psychiatric Institute, New York, NY, USA), Annapurna Poduri (Division of Epilepsy and Clinical Neurophysiology, Department of Neurology Boston Children’s Hospital, Boston, MA, USA), Stephen Petrou (Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia), Slavé Petrovski (Department of Medicine, University of Melbourne, Austin Health and Royal Melbourne Hospital, Melbourne, Victoria, Australia), Elizabeth K. Ruzzo (Institute for Precision Health, UCLA Health, University of California, Los Angeles, Los Angeles, CA, USA), Ingrid E. Scheffer (Department of Medicine, Epilepsy Research Centre, University of Melbourne, Austin Health, Heidelberg, Victoria, Australia), Elliott H. Sherr (Departments of Neurology and Pediatrics, and Institute of Human Genetics, University of California, San Francisco, San Francisco, CA, USA).

Epilepsy Phenome/Genome Project

Bassel Abou-Khalil (Department of Neurology, Vanderbilt University Medical Center, Nashiville, TN, USA), Dina Amrom (Neurogenetics Unit, Montreal Neurological Hospital and Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada), Eva Andermann (Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada), Frederick Andermann (Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada), Samuel F. Berkovic (Epilepsy Research Centre, Department of Medicine, University of Melbourne, Austin Health, Heidelberg, Victoria, Australia), Judith Bluvstein (New York University Langone Comprehensive Epilepsy Center, New York, NY, USA), Alexis Boro (Department of Neurology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA), Greg Cascino (Department of Neurology, Mayo Clinic, Rocester, MN, USA), Damian Consalvo (Department of Neurology, Hospital General de Aguidos Juan A. Fernandez, Buenos Aires, Argentina), Pat Crumrine (Department of Pediatrics and Neurology, Children’s Hospital Pittsburgh, Pittsburgh, PA, USA), Orrin Devinsky (Department of Neurology, New York University, Grossman School of Medicine, New York, NY, USA), Dennis Dlugos (Department of Neurology and Pediatrics, Children’s Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA), Nathan Fountain (Department of Neurology, University of Virginia Health, Charlottesville, VA, USA), Catharine Freyer (UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA), Dan Friedman (Department of Neurology, New York University, Grossman School of Medicine, New York, NY, USA), Eric Geller (Institute of Neurology and Neurosurgery at Saint Barnabas, Livingston, NJ, USA), Simon Glynn (Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA), Kevin Haas (Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA), Sheryl Haut (Adult Epilepsy Program, Montefiore Medical Center, New York, NY, USA), Sucheta Joshi (Division of Pediatric Neurology, Department of Pediatrics and Communicable Diseases, C. S. Mott Children’s Hospital, Ann Arbor, MI, USA), Heidi Kirsch (Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA), Robert Knowlton (Department of Clinical Neurology and Epilepsy Center, University of California, San Francisco, CA, USA), Eric Kossoff (Departments of Neurology and Pediatrics, Johns Hopkins University, Baltimore, MD, USA), Ruben Kuzniecky (Department of Neurology, Zucker Hofstra School of Medicine at Northwell, New York, NY, USA), Daniel H. Lowenstein (Department of Neurology, University of California, San Francisco, San Francisco, CA, USA), Paul V. Motika (Department of Neurology, Oregon Health and Science University, Portland, OR, USA), Ruth Ottman (Department of Neurology, Columbia University, New York, NY, USA), Juliann M. Paolicchi (Pediatrics and Neurology, Hackensack-Meridian Medical School, Hackensack, NJ, USA), Jack M. Parent (Epilepsy Program, University of Michigan, Ann Arbor, MI, USA), Annapurna Poduri (Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children’s Hospital, Boston, MA, USA), Ingrid E. Scheffer (Department of Pediatric Neurology, University of Melbourne, Melbourne, Victoria, Australia), Renée A. Shellhaas (Department of Pediatrics, University of Michigan Ann Arbor, MI, USA), Elliott H. Sherr (Departments of Neurology and Pediatrics, and Institute of Human Genetics, University of California, San Francisco, San Francisco, CA, USA), Jerry J. Shih (University of California, San Diego Comprehensive Epilepsy Center, School of Medicine, University of California, San Diego, San Diego, CA, USA), Shlomo Shinnar (Department of Neurology, Montefiore Medical Center, Bronx, NY, USA), Rani K. Singh (Carolinas Pediatric Neurology Care, Atrium Health, Concord, NC, USA), Michael Sperling (Department of Neurology, Jefferson Comprehensive Epilepsy Center, Thomas Jefferson University, Philadelphia, PA, USA), Michael C. Smith (Department of Neurological Sciences, Rush University Medical Center Chicago, Chicago, IL, USA), Joseph Sullivan (Pediatric Epilepsy Center, UCSF Benioff Children’s Hospital, University of California, San Francisco, San Francisco, CA, USA), Eileen P. G. Vining (Department of Neurology, Johns Hopkisn Medicine, Baltimore, MD, USA), Gretchen K. Von Allmen (Department of Pediatric Neurology, Memorial Hermann, Houston, TX, USA), Peter Widdess-Walsh (Beacon Hospital, Dublin, Ireland), Melodie R. Winawer (Department of Neurology and H. Sergievsky Center, Columbia University, New York, NY, USA), Jocelyn Bautista (Department of Neurology, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA), Miguel Fiol (Department of Neurology, University of Minnesota, Minneapolis, MN, USA), Tracy Glauser (Comprehensive Epilepsy Center, Cincinnati Children’s Hospital, Cincinnati, OH, USA), Jean Hayward (Department of Child Neurology, Oakland Medical Center, Oakland, CA, USA), Sandra Helmers (Department of Neurology, Emory University Hospital, Atlanta, GA, USA), Kristen Park (Departments of Pediatrics and Neurology, University of Colorado School of Medicine, Aurora, CO, USA), Joseph Sirven (Department of Neurology, Mayo Clinic, Scottsdale, AZ, USA), Liu Lin Thio (Pediatric Epilepsy Center, Washington University School of Medicine, St Louis, MO, USA), Anu Venkat (Saint Peters University Hospital, New Brunswick, NJ, USA), Judith Weisenberg (Division of Pediatric Neurology, Washington University School of Medicine, St Louis, MO, USA), Rachel Kuperman (Rosenman Institute, University of California, San Francisco, San Francisco, CA, USA), Shannon McGuire (Children’s Hospital Epilepsy Center of New Orleans, Louisiana State University, New Orleans, LA, USA), Edward Novotny (Department of Pediatric Neurology, Seattle Children’s Hospital, Seattle, WA, USA), Lynette Sadleir (Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand).

Footnotes

SUPPORTING INFORMATION

Additional supporting information may be found online in the Supporting Information section.

CONFLICT OF INTEREST

D.B.G. is a founder of and holds equity in Q State Biosciences and Praxis Therapeutics; holds equity in Apostle, and serves as a consultant to AstraZeneca and Gilead. S.Petrov. has equity in and is employed by AstraZeneca. O.D. receives grant support from NINDS, NIMH, MURI, CDC, and NSF. He has equity and/or compensation from the following companies: Privateer Holdings, Tilray, Receptor Life Sciences, Qstate Biosciences, Tevard, Empatica, Egg Rock/Papa & Barkley, Rettco, SilverSpike, and California Cannabis Enterprises. He has received consulting fees from GW Pharma, Cavion, Zogenix, and Eisai. R.A.S. receives research funding from PCORI, NIH, the Pediatric Epilepsy Research Foundation, and the University of Michigan. She serves as a consultant for the Epilepsy Study Consortium, receives royalties from UpToDate for authorship of topics related to neonatal seizures, and serves as an Associate Editor for Neurology. L.S. is funded by the Health Research Council of New Zealand and Cure Kids New Zealand. She is a consultant for the Epilepsy Consortium and has received travel grants from Seqirus and Nutricia. She has received research grants and consulting fees from Zynerba and consulting fees from Eisai. None of the other authors has any conflict of interest to disclose.

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Supplementary Materials

Supplementary Table S1
Supplementary Tables S2-S5

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