<p>Shown are the sequence-based score (x-axis) for 273 stop-gain variants reported by the ESP and 1000 Genomes datasets in 75 OMIM genes carrying both OMIM pathogenic-variants (grey dots) and a non-pathogenic/non-annotated variants (orange dots). Genes are displayed by blocks from 1 to 9 (y-axis on the right) corresponding to deciles of the gene-based MacArthur 2012 rank percentile (e.g. 1: < = 10; 2: (10,20], etc). Grey triangles beside the panels represent the direction of increasing pathogenicity for the corresponding scores.</p
The evolution of next-generation sequencing technologies has facilitated the detection of causal gen...
A) Schematic shows the steps involved in shortlisting genes from the pan-cancer TCGA dataset based o...
BackgroundNext-generation sequencing is revolutionising diagnosis and treatment of rare diseases, ho...
<p>Rank percentile distributions of pathogenicity scores for rare stop-gain variants (MAF<1%) are sh...
<p>Shown are boxplots representing the distribution of the average sequence-based score of pathogeni...
<p>Shown are the distributions (y-axis) of three pathogenicity scores (<b>Panel A</b>: the sequence-...
<p><b>Panel A</b>: Classification power of three pathogenicity scores was evaluated on a set of 1160...
<p>At any given point on the X-axis (RVIS-sum percentile) we can determine what percentage of the 82...
<p>The y-axis represents the percentage of variants for the allele frequencies and categories repres...
The causal genetic variants underlying more than 50% of single gene (monogenic) disorders are yet to...
Loss-of-function variants in innate immunity genes are associated with Mendelian disorders in the fo...
Expression levels are indicated by a color scale and represent normalized differences between infect...
<p>Markers denoting causal variants for OMIM diseases and showing significant differences in risk al...
<p>(A) Circos plot summarizing all of the genetic data in 30,506 mtDNA sequences. From outside the c...
(A) Percentile-rank scores compared to the whole genome for intolerance to variation (RVIS, pLI, and...
The evolution of next-generation sequencing technologies has facilitated the detection of causal gen...
A) Schematic shows the steps involved in shortlisting genes from the pan-cancer TCGA dataset based o...
BackgroundNext-generation sequencing is revolutionising diagnosis and treatment of rare diseases, ho...
<p>Rank percentile distributions of pathogenicity scores for rare stop-gain variants (MAF<1%) are sh...
<p>Shown are boxplots representing the distribution of the average sequence-based score of pathogeni...
<p>Shown are the distributions (y-axis) of three pathogenicity scores (<b>Panel A</b>: the sequence-...
<p><b>Panel A</b>: Classification power of three pathogenicity scores was evaluated on a set of 1160...
<p>At any given point on the X-axis (RVIS-sum percentile) we can determine what percentage of the 82...
<p>The y-axis represents the percentage of variants for the allele frequencies and categories repres...
The causal genetic variants underlying more than 50% of single gene (monogenic) disorders are yet to...
Loss-of-function variants in innate immunity genes are associated with Mendelian disorders in the fo...
Expression levels are indicated by a color scale and represent normalized differences between infect...
<p>Markers denoting causal variants for OMIM diseases and showing significant differences in risk al...
<p>(A) Circos plot summarizing all of the genetic data in 30,506 mtDNA sequences. From outside the c...
(A) Percentile-rank scores compared to the whole genome for intolerance to variation (RVIS, pLI, and...
The evolution of next-generation sequencing technologies has facilitated the detection of causal gen...
A) Schematic shows the steps involved in shortlisting genes from the pan-cancer TCGA dataset based o...
BackgroundNext-generation sequencing is revolutionising diagnosis and treatment of rare diseases, ho...