Publications by authors named "P Flicek"

Article Synopsis
  • - Accurate gene annotations are essential for interpreting how genomes function, and the GENCODE consortium has spent twenty years creating reference annotations for human and mouse genomes, serving as a vital resource for researchers globally.
  • - Previous annotations of long non-coding RNAs (lncRNAs) were incomplete and poorly organized, hindering research, prompting GENCODE to launch a comprehensive effort that resulted in adding nearly 18,000 novel human genes and over 22,000 novel mouse genes, significantly increasing the catalog of transcripts.
  • - The new annotations not only show evolutionary patterns and link to genetic variants associated with traits but also improve understanding of previously unclear genomic functions, greatly advancing research into both human and mouse genetic diseases.
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Background: DNA methylation is an important epigenetic modification which has numerous roles in modulating genome function. Its levels are spatially correlated across the genome, typically high in repressed regions but low in transcription factor (TF) binding sites and active regulatory regions. However, the mechanisms establishing genome-wide and TF binding site methylation patterns are still unclear.

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The question of how local adaptation takes place remains a fundamental question in evolutionary biology. The variation of allele frequencies in genes under selection over environmental gradients remains mainly theoretical and its empirical assessment would help understanding how adaptation happens over environmental clines. To bring new insights to this issue we set up a broad framework which aimed to compare the adaptive trajectories over environmental clines in two domesticated mammal species co-distributed in diversified landscapes.

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Mapping the functional human genome and impact of genetic variants is often limited to European-descendent population samples. To aid in overcoming this limitation, we measured gene expression using RNA sequencing in lymphoblastoid cell lines (LCLs) from 599 individuals from six African populations to identify novel transcripts including those not represented in the hg38 reference genome. We used whole genomes from the 1000 Genomes Project and 164 Maasai individuals to identify 8,881 expression and 6,949 splicing quantitative trait loci (eQTLs/sQTLs), and 2,611 structural variants associated with gene expression (SV-eQTLs).

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