Evidence map›Paper›PMID 42366594›Full record

ArticleAutism research : official journal of the International Society for Autism Research2026

Prevalence of Phelan McDermid Syndrome Estimated To Be ~1:7300 Using a Multisource Model.

Tess Levy, David Lapidus, Kate Friedman, Paige Siper, Larry Glass, Liza Squires, Mary Hames, Joseph D Buxbaum, Genetic Testing Consortium, Alexander Kolevzon

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Prevalence of Phelan McDermid Syndrome Estimated To Be ~1:7300 Using a Multisource Model.Autism research : official journal of the International Society for Autism Research · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Tess LevySeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
David LapidusLapidusData Inc., Nichols Hills, Oklahoma, USA.
Kate FriedmanSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Paige SiperSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Larry GlassNeuren Pharmaceuticals Limited., Camberwell, Victoria, Australia.
Liza SquiresNeuren Pharmaceuticals Limited., Camberwell, Victoria, Australia.
Mary HamesNeuren Pharmaceuticals Limited., Camberwell, Victoria, Australia.
Joseph D BuxbaumSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Genetic Testing Consortium
Alexander KolevzonSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID https://orcid.org/0000-0001-8129-2671

Funding

CureSHANKNeuren Pharmaceuticals
6 · The paper itself

Abstract

Estimating the prevalence of genetic disorders is complicated by many factors including sampling bias and differing methods of estimation. However, establishing the true prevalence of these disorders is critical for understanding disease burden, pharmacoeconomic modeling, and resource allocation for testing and care. Phelan-McDermid syndrome (PMS) is a genetic neurodevelopmental disorder with an unknown true prevalence and previous estimates vary from 2.5-10 per million births. The study team reached out to a multitude of sources, including clinical genetic testing laboratories, research centers, and clinical centers. Sites provided the number of PMS diagnoses made out of the total number participants with autism tested at their site. Further extrapolations were made to adjust for the proportion of individuals with PMS who do not have autism, autism diagnosis age limitations, and type of genetic variant. Lastly, Centers for Disease Control estimates of autism rates were used to extrapolate to the general population. Ten sources participated and data from 179,837 autism cases were evaluated. The frequency of PMS diagnoses ranged from 1% to ~2.5%. However, the studies had different levels of sensitivity depending on the assay(s) used, and therefore raw results should not be directly compared. After applying extrapolations, including adjustments for assay sensitivity and other factors, the final weighted average was 13.7 per 100,000 (95% CI 10.02-18.60 per 100,000), indicating 1 in ~7300 individuals in the general population have PMS. We leveraged a diverse set of genetic data from multiple sources to generate a population-level estimate of the prevalence of PMS. Our findings indicate that PMS affects approximately 13.7 per 100,000 individuals, substantially higher than previous estimates.

Indexed as

Chromosome DisordersAutistic DisorderChildChild, PreschoolChromosome DeletionChromosomes, Human, Pair 22FemaleHumansMalePrevalenceUnited StatesASDautismgenetic disorderPhelan‐McDermid syndromeprevalencerare disorderSHANK3

Identifiers

PMID42366594
PMCPMC13471831

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.