ASHG 2022
Recent articles
A mix of common and rare variants shapes autism inheritance patterns
The study also reveals a link between language development and common variants.
A mix of common and rare variants shapes autism inheritance patterns
The study also reveals a link between language development and common variants.
Zebrafish point to new gene involved in brain overgrowth, autism
The gene, YTHDF2, has not previously been linked to autism.
Zebrafish point to new gene involved in brain overgrowth, autism
The gene, YTHDF2, has not previously been linked to autism.
Lags in genetic testing, variant reporting hinder autism research
Few autistic people undergo the recommended genetic testing for their condition, and test results often do not make their way into public databases, where researchers and clinicians can learn from them.
Lags in genetic testing, variant reporting hinder autism research
Few autistic people undergo the recommended genetic testing for their condition, and test results often do not make their way into public databases, where researchers and clinicians can learn from them.
Explore more from The Transmitter
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.