# Assisted Reproductive Technologies and Risk of Autism and Other Developmental Disabilities

> **NIH NIH R01** · COLUMBIA UNIV NEW YORK MORNINGSIDE · 2020 · $512,758

## Abstract

Project Summary
This project seeks to expand on the success of an exploratory R21 grant previously awarded to establish
capacity to link complex administrative data sets from three separate sources reporting births, conceptions
from assisted reproductive technology (ART), and autism diagnoses in California. The goal of this research is
to build and analyze the largest and most detailed dataset in existence on ART and developmental disabilities
including autism, intellectual disability, and cerebral palsy, in a large and diverse state, with the ultimate aim of
understanding the relationship between ART and risk of these disorders. We have successfully linked the
California Birth Master Files to the CDC's National Assisted Reproductive Technology Surveillance System
registry for California fertility clinics and to outcome data on autism and receipt of developmental services for
the 1996 to 2007 birth cohorts, and published initial findings from this dataset. We seek next to expand the
project significantly in order to assess in greater detail the relationship between ART and autism as well as
other developmental disabilities. First, we propose to incorporate additional cohorts of California births and
conceptions through at least 2016, and outcomes through at least 2020. This will expand the data set to more
than eleven million births, about 123,000 ART births, and about 65,000 autism cases. This will also expand our
follow-up period into early adulthood, an unprecedented feature in a population-based dataset this large that
allows us to examine long-term developmental consequences of ART. In addition, we will include data on
diagnoses of cerebral palsy and intellectual disability. Next, we will expand our analyses in several ways: 1)
strengthen our preliminary findings in this much larger dataset by analyzing variation in the association among
subgroups of infertility and ART procedure as well as potential mediating variables like obstetric complications
and effect modifiers like maternal obesity; 2) model the long-term symptom expression of autism through
adolescence, and test whether these patterns differ by conception group; 3) use sibling pairs discordant for
ART conception to assess the role of confounding by family characteristics; 4) examine the association between
ART and intellectual disability and cerebral palsy; and 5) assess the role that neighborhood characteristics play
in the association between ART and developmental disabilities. Against the background of rapidly rising autism
prevalence and the increasingly important role of ART in reproductive decision-making, this research has
notable scientific and public health implications. By elucidating the long term developmental risks associated
with specific treatments/subsets of ART patients, this project has the potential to make significant contributions
to our understanding of the etiology of autism and other developmental disabilities, and to risk-benefit
considerations for the reco...

## Key facts

- **NIH application ID:** 10000188
- **Project number:** 5R01HD091205-03
- **Recipient organization:** COLUMBIA UNIV NEW YORK MORNINGSIDE
- **Principal Investigator:** Peter Shawn Bearman
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $512,758
- **Award type:** 5
- **Project period:** 2018-09-10 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10000188

## Citation

> US National Institutes of Health, RePORTER application 10000188, Assisted Reproductive Technologies and Risk of Autism and Other Developmental Disabilities (5R01HD091205-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10000188. Licensed CC0.

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