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Spectrum: Autism Research News

Tag: gene networks

May 2017

New tools strengthen old link between autism, mitochondria

by  /  30 May 2017

Variants of some mitochondrial genes may contribute to autism — in some cases, by teaming up with genes in the nucleus.


Complex gene interactions in autism offer avenues for treatment

by  /  23 May 2017

Teasing out how genes interact can offer clues to autism’s causes and point to treatment targets.

April 2017

Mighty element plays major part in autism

by ,  /  18 April 2017

Probing the function of a protein in a calcium signaling pathway may lead to a diagnostic test for autism and a path toward treatments.

March 2017

Sequencing thousands of whole genomes yields new autism genes

by  /  6 March 2017

An analysis of whole genomes from more than 5,000 people has unearthed 18 new candidate genes for autism.

February 2017

Tangled web of proteins holds clues to autism’s complexity

by  /  28 February 2017

Understanding how mutations in genes linked to autism perturb the different versions of proteins the genes form could reveal new targets for treatments.

January 2017

Diverse causes of autism converge on common gene signature

by  /  23 January 2017

The brains of people with autism show a distinct molecular signature that reflects alterations in how genes are pieced together and expressed.


Online atlas reveals huge array of protein connections

by  /  13 January 2017

A new web-based tool charts the myriad contacts among human proteins.

October 2016

Network analysis gives clues to other ailments in autism

by  /  25 October 2016

Genes linked to autism are associated with a variety of other ailments, including cancer, heart conditions, autoimmune disorders and gut problems.

August 2016

New study bolsters theory that autism genes work in networks

by  /  3 August 2016

A gene that has strong ties to autism controls the expression of many other autism candidates.

July 2016

Online tool can mix, match gene expression data

by  /  22 July 2016

A new resource helps biologists easily mine large troves of information about when and where genes are expressed.