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Philip Avner

Researcher at European Bioinformatics Institute

Publications -  151
Citations -  11547

Philip Avner is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: XIST & X-inactivation. The author has an hindex of 52, co-authored 148 publications receiving 11061 citations. Previous affiliations of Philip Avner include French Institute of Health and Medical Research & Centre national de la recherche scientifique.

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X-chromosome inactivation: counting, choice and initiation

TL;DR: In many sexually dimorphic species, a mechanism is required to ensure equivalent levels of gene expression from the sex chromosomes, and in mammals, such dosage compensation is achieved by X-chromosome inactivation, a process that presents a unique medley of biological puzzles.
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Characterization of a murine gene expressed from the inactive X chromosome.

TL;DR: The isolation and characterization of its murine homologue (Xist) is reported which localizes to the mouse X inactivation centre region and is the first murine gene found to be expressed from the inactive X chromosome and may be associated with a protein product.
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Methylation of histone H3 at Lys-9 is an early mark on the X chromosome during X inactivation.

TL;DR: It is reported that methylation of histone H3 lysine 9 on the inactive X chromosome occurs immediately after Xist RNA coating and before transcriptional inactivation of X-linked genes.
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X-chromosome inactivation in mammals

TL;DR: The definition of a major role for Xist, a noncoding RNA, in X-inactivation has enabled investigation of the mechanism leading to establishment of the heterochromatinized X-chromosome and also of the interactions between X- inactivation and imprinting as well as between X -inactivation and developmental processes in the early embryo.
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The nature and identification of quantitative trait loci: a community's view.

Oduola Abiola, +79 more
TL;DR: This white paper by eighty members of the Complex Trait Consortium presents a community's view on the approaches and statistical analyses that are needed for the identification of genetic loci that determine quantitative traits.