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Article

Machine learning shows association between genetic variability in PPARG and cerebral connectivity in preterm infants.

Proceedings of the National Academy of Sciences of the United States of America - 26 Dec 2017

Krishnan Michelle L, Wang Zi, Aljabar Paul, Ball Gareth, Mirza Ghazala, Saxena Alka, Counsell Serena J, Hajnal Joseph V, Montana Giovanni, Edwards A David

Abstract excerpt

Preterm infants show abnormal structural and functional brain development, and have a high risk of long-term neurocognitive problems. The molecular and cellular mechanisms involved are poorly understood, but novel methods now make it possible to address them by examining the relationship between common genetic variability and brain endophenotype. We addressed the hypothesis that variability in the Peroxisome...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 29229843
DOI: 10.1073/pnas.1704907114
PMCID: PMC5748164

Genes

PPARG
FXR1
ITGA6

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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