diff --git a/apps/platform/src/App.tsx b/apps/platform/src/App.tsx
index 9d5c62827..1cd6fb6d0 100644
--- a/apps/platform/src/App.tsx
+++ b/apps/platform/src/App.tsx
@@ -30,6 +30,13 @@ const router = createBrowserRouter([
             path: "/api",
             lazy: () => import("./pages/APIPage/APIPage").then(m => ({ Component: m.default })),
           },
+          {
+            path: "/metrics",
+            lazy: () =>
+              import("./pages/MetricsPage/MetricsPageWrapper").then(m => ({
+                Component: m.default,
+              })),
+          },
           {
             path: "/search",
             lazy: () =>
diff --git a/apps/platform/src/pages/MetricsPage/AssociationPlot.tsx b/apps/platform/src/pages/MetricsPage/AssociationPlot.tsx
new file mode 100644
index 000000000..67bd9c013
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/AssociationPlot.tsx
@@ -0,0 +1,33 @@
+import { Box, Paper, Typography, useTheme } from "@mui/material";
+import * as Plot from "@observablehq/plot";
+import { ObsPlot } from "ui";
+import dataSourcesAssoc from "../../components/AssociationsToolkit/static_datasets/dataSourcesAssoc";
+import { CATEGORICAL_COLORS } from "../../components/AssociationsToolkit/components/Table/NoveltyCharts";
+import type { MetricRow } from "./MetricsPage";
+
+type AssociationCount = { name: string; group: string; count: number };
+const dataSourceTypes = new Map(dataSourcesAssoc.map((source) => [source.id, source.aggregation]));
+
+function AssociationPlot({ data, datasetPrefix, title, labelFromDataset = false }: { data: MetricRow[]; datasetPrefix: string; title: string; labelFromDataset?: boolean }) {
+  const theme = useTheme();
+  const chartData: AssociationCount[] = data.filter((row) => row.dataset.startsWith(datasetPrefix) && row.kind === "grouping" && row.group_value)
+    .map((row) => {
+      const sourceId = labelFromDataset ? row.dataset.replace(datasetPrefix, "") : row.group_value;
+      return { name: labelFromDataset ? sourceId : row.group_value, group: dataSourceTypes.get(sourceId) ?? "Other", count: row.value };
+    });
+  const groupMaxCounts = new Map<string, number>();
+  chartData.forEach((item) => groupMaxCounts.set(item.group, Math.max(groupMaxCounts.get(item.group) ?? 0, item.count)));
+  chartData.sort((a, b) => (groupMaxCounts.get(b.group) ?? 0) - (groupMaxCounts.get(a.group) ?? 0) || a.group.localeCompare(b.group) || b.count - a.count);
+  if (chartData.length === 0) return null;
+  return <Paper sx={{ py: 2, px: 3, maxWidth: "100%" }} elevation={0} variant="outlined"><Box sx={{ minWidth: 0 }}>
+    <Typography variant="subtitle2" sx={{ m: 0 }}>{title}</Typography>
+    <ObsPlot data={chartData} otherData={{ textColor: theme.palette.text.primary }} minWidth={320} height={chartData.length * 23 + 8} renderChart={renderChart} xTooltip={(item) => item.count} yTooltip={(item) => item.name} xAnchorTooltip="adapt" yAnchorTooltip="adapt" gapInfo={0} renderInfo={() => null} />
+  </Box></Paper>;
+  function renderChart({ data, width, height }: { data: AssociationCount[]; width?: number; height: number }) {
+    const plotWidth = Math.max((width ?? 0) - 210 - 24, 0), maxCount = Math.max(...data.map((item) => item.count));
+    const insideData = data.filter((item) => (item.count / maxCount) * plotWidth >= `${item.count.toLocaleString()}`.length * 7 + 12);
+    const outsideData = data.filter((item) => !insideData.includes(item));
+    return Plot.plot({ width: width ?? 0, height, style: { fontSize: "13.5px" }, marginTop: 4, marginBottom: 4, marginLeft: 240, marginRight: 0, x: { axis: null }, color: { domain: [...new Set(data.map((item) => item.group))], range: CATEGORICAL_COLORS, legend: true }, y: { domain: data.map((item) => item.name), label: null, tickSize: 0, tickPadding: 8, tickFormat: (name) => name.replaceAll("_", " ") }, marks: [Plot.barX(data, { x: "count", y: "name", fill: "group", insetTop: 2, insetBottom: 2, className: "obs-tooltip" }), Plot.text(insideData, { x: "count", y: "name", text: (item) => item.count.toLocaleString(), textAnchor: "end", dx: -6, fill: "white", lineAnchor: "middle", fontSize: 12.5, className: "obs-tooltip" }), Plot.text(outsideData, { x: "count", y: "name", text: (item) => item.count.toLocaleString(), textAnchor: "start", dx: 6, fill: theme.palette.text.primary, lineAnchor: "middle", fontSize: 12.5, className: "obs-tooltip" })] });
+  }
+}
+export default AssociationPlot;
diff --git a/apps/platform/src/pages/MetricsPage/ByStudyType.tsx b/apps/platform/src/pages/MetricsPage/ByStudyType.tsx
new file mode 100644
index 000000000..d8d261e2f
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/ByStudyType.tsx
@@ -0,0 +1,34 @@
+import { Box, Paper, Typography, useTheme } from "@mui/material";
+import * as Plot from "@observablehq/plot";
+import { ObsPlot } from "ui";
+import type { MetricRow } from "./MetricsPage";
+
+type StudyTypeCount = { name: string; count: number };
+
+function ByStudyType({ data, dataset, title }: { data: MetricRow[]; dataset: string; title: string }) {
+  const theme = useTheme();
+  const chartData: StudyTypeCount[] = data
+    .filter((row) => row.dataset === dataset && row.kind === "grouping" && row.expression === "studyType" && row.group_value)
+    .map((row) => ({ name: row.group_value, count: row.value }))
+    .sort((a, b) => b.count - a.count);
+  if (chartData.length === 0) return null;
+
+  return <Paper sx={{ py: 2, px: 3, maxWidth: "100%" }} elevation={0} variant="outlined"><Box sx={{ minWidth: 0 }}>
+    <Typography variant="subtitle2" sx={{ m: 0 }}>{title}</Typography>
+    <ObsPlot data={chartData} otherData={{ textColor: theme.palette.text.primary }} minWidth={320} height={chartData.length * 23 + 8} renderChart={renderChart} xTooltip={(item) => item.count} yTooltip={(item) => item.name} xAnchorTooltip="adapt" yAnchorTooltip="adapt" gapInfo={0} renderInfo={() => null} />
+  </Box></Paper>;
+
+  function renderChart({ data, width, height }: { data: StudyTypeCount[]; width?: number; height: number }) {
+    const plotWidth = Math.max((width ?? 0) - 210 - 24, 0);
+    const maxCount = Math.max(...data.map((item) => item.count));
+    const insideData = data.filter((item) => (item.count / maxCount) * plotWidth >= `${item.count.toLocaleString()}`.length * 7 + 12);
+    const outsideData = data.filter((item) => !insideData.includes(item));
+    return Plot.plot({ width: width ?? 0, height, style: { fontSize: "13.5px" }, marginTop: 4, marginBottom: 4, marginLeft: 240, marginRight: 0, x: { axis: null }, y: { domain: data.map((item) => item.name), label: null, tickSize: 0, tickPadding: 8, tickFormat: (label) => label.replaceAll(/(gwas|qtl)/ig, m => m.toUpperCase()) }, marks: [
+      Plot.barX(data, { x: "count", y: "name", fill: theme.palette.primary.main, insetTop: 2, insetBottom: 2, className: "obs-tooltip" }),
+      Plot.text(insideData, { x: "count", y: "name", text: (item) => item.count.toLocaleString(), textAnchor: "end", dx: -6, fill: "white", lineAnchor: "middle", fontSize: 12.5, className: "obs-tooltip" }),
+      Plot.text(outsideData, { x: "count", y: "name", text: (item) => item.count.toLocaleString(), textAnchor: "start", dx: 6, fill: theme.palette.text.primary, lineAnchor: "middle", fontSize: 12.5, className: "obs-tooltip" }),
+    ] });
+  }
+}
+
+export default ByStudyType;
diff --git a/apps/platform/src/pages/MetricsPage/ClinicalReportsByStage.tsx b/apps/platform/src/pages/MetricsPage/ClinicalReportsByStage.tsx
new file mode 100644
index 000000000..c31e228fe
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/ClinicalReportsByStage.tsx
@@ -0,0 +1,14 @@
+import ClinicalStageChart from "./ClinicalStageChart";
+import type { MetricRow } from "./MetricsPage";
+
+function ClinicalReportsByStage({ data }: { data: MetricRow[] }) {
+  return (
+    <ClinicalStageChart
+      data={data}
+      dataset="clinical_report"
+      title="Clinical reports by stage"
+    />
+  );
+}
+
+export default ClinicalReportsByStage;
diff --git a/apps/platform/src/pages/MetricsPage/ClinicalStageChart.tsx b/apps/platform/src/pages/MetricsPage/ClinicalStageChart.tsx
new file mode 100644
index 000000000..3910f1715
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/ClinicalStageChart.tsx
@@ -0,0 +1,60 @@
+import { Box, Paper, Typography, useTheme } from "@mui/material";
+import * as Plot from "@observablehq/plot";
+import { clinicalStageCategories } from "@ot/constants";
+import { ObsPlot } from "ui";
+import type { MetricRow } from "./MetricsPage";
+
+type ClinicalStageCount = { name: string; count: number; index: number };
+
+function ClinicalStageChart({ data, dataset, title }: { data: MetricRow[]; dataset: string; title: string }) {
+  const theme = useTheme();
+  const chartData: ClinicalStageCount[] = data
+    .filter((row) => row.dataset === dataset && row.kind === "grouping" && row.metric === "clinicalStage" && row.group_value)
+    .map((row) => {
+      const category = clinicalStageCategories[row.group_value as keyof typeof clinicalStageCategories];
+      return { name: category?.label ?? row.group_value, count: row.value, index: category?.index ?? Number.MAX_SAFE_INTEGER };
+    })
+    .sort((a, b) => a.index - b.index);
+
+  if (chartData.length === 0) return null;
+
+  return (
+    <Paper sx={{ py: 2, px: 3, maxWidth: "100%" }} elevation={0} variant="outlined">
+      <Box sx={{ minWidth: 0 }}>
+        <Typography variant="subtitle2" sx={{ m: 0 }}>{title}</Typography>
+        <ObsPlot
+          data={chartData}
+          otherData={{ textColor: theme.palette.text.primary }}
+          minWidth={320}
+          height={chartData.length * 23 + 8}
+          renderChart={renderChart}
+          xTooltip={(item) => item.count}
+          yTooltip={(item) => item.name}
+          xAnchorTooltip="adapt"
+          yAnchorTooltip="adapt"
+          gapInfo={0}
+          renderInfo={() => null}
+        />
+      </Box>
+    </Paper>
+  );
+
+  function renderChart({ data, width, height }: { data: ClinicalStageCount[]; width?: number; height: number }) {
+    const plotWidth = Math.max((width ?? 0) - 210 - 24, 0);
+    const maxCount = Math.max(...data.map((item) => item.count));
+    const insideData = data.filter((item) => (item.count / maxCount) * plotWidth >= `${item.count.toLocaleString()}`.length * 7 + 12);
+    const outsideData = data.filter((item) => !insideData.includes(item));
+
+    return Plot.plot({
+      width: width ?? 0, height, style: { fontSize: "13.5px" }, marginTop: 4, marginBottom: 4, marginLeft: 240, marginRight: 0,
+      x: { axis: null }, y: { domain: data.map((item) => item.name), label: null, tickSize: 0, tickPadding: 8 },
+      marks: [
+        Plot.barX(data, { x: "count", y: "name", fill: theme.palette.primary.main, insetTop: 2, insetBottom: 2, className: "obs-tooltip" }),
+        Plot.text(insideData, { x: "count", y: "name", text: (item) => item.count.toLocaleString(), textAnchor: "end", dx: -6, fill: "white", lineAnchor: "middle", fontSize: 12.5, className: "obs-tooltip" }),
+        Plot.text(outsideData, { x: "count", y: "name", text: (item) => item.count.toLocaleString(), textAnchor: "start", dx: 6, fill: theme.palette.text.primary, lineAnchor: "middle", fontSize: 12.5, className: "obs-tooltip" }),
+      ],
+    });
+  }
+}
+
+export default ClinicalStageChart;
diff --git a/apps/platform/src/pages/MetricsPage/ColocalisationByType.tsx b/apps/platform/src/pages/MetricsPage/ColocalisationByType.tsx
new file mode 100644
index 000000000..82a8a337e
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/ColocalisationByType.tsx
@@ -0,0 +1,69 @@
+import { Box, Paper, Typography, useTheme } from "@mui/material";
+import * as Plot from "@observablehq/plot";
+import { ObsPlot } from "ui";
+import type { MetricRow } from "./MetricsPage";
+
+type ColocalisationCount = { name: string; count: number };
+
+function ColocalisationByType({ data }: { data: MetricRow[] }) {
+  const theme = useTheme();
+  const chartData: ColocalisationCount[] = data
+    .filter((row) => row.dataset === "colocalisation" && row.kind === "grouping" && row.metric === "studyTypePair" && row.group_value)
+    .map((row) => ({ name: row.group_value, count: row.value }))
+    .sort((a, b) => b.count - a.count);
+
+  if (chartData.length === 0) return null;
+
+  return (
+    <Paper sx={{ py: 2, px: 3, maxWidth: "100%" }} elevation={0} variant="outlined">
+      <Box sx={{ minWidth: 0 }}>
+        <Typography variant="subtitle2" sx={{ m: 0 }}>Colocalisation by type</Typography>
+        <ObsPlot
+          data={chartData}
+          otherData={{ textColor: theme.palette.text.primary }}
+          minWidth={320}
+          height={chartData.length * 23 + 8}
+          renderChart={renderChart}
+          xTooltip={(item) => item.count}
+          yTooltip={(item) => item.name}
+          xAnchorTooltip="adapt"
+          yAnchorTooltip="adapt"
+          gapInfo={0}
+          renderInfo={() => null}
+        />
+      </Box>
+    </Paper>
+  );
+
+  function renderChart({ data, width, height }: { data: ColocalisationCount[]; width?: number; height: number }) {
+    const plotWidth = Math.max((width ?? 0) - 210 - 24, 0);
+    const maxCount = Math.max(...data.map((item) => item.count));
+    const insideData = data.filter((item) => (item.count / maxCount) * plotWidth >= `${item.count.toLocaleString()}`.length * 7 + 12);
+    const outsideData = data.filter((item) => !insideData.includes(item));
+
+    return Plot.plot({
+      width: width ?? 0,
+      height,
+      style: { fontSize: "13.5px" },
+      marginTop: 4,
+      marginBottom: 4,
+      marginLeft: 240,
+      marginRight: 0,
+      x: { axis: null },
+      y: {
+        domain: data.map((item) => item.name),
+        label: null,
+        tickSize: 0,
+        tickPadding: 8,
+        tickFormat: (label) => label.replaceAll(/(gwas|qtl)/ig, m => m.toUpperCase()),
+      },
+      marks: [
+        Plot.barX(data, { x: "count", y: "name", fill: theme.palette.primary.main, insetTop: 2, insetBottom: 2, className: "obs-tooltip" }),
+        Plot.text(insideData, { x: "count", y: "name", text: (item) => item.count.toLocaleString(), textAnchor: "end", dx: -6, fill: "white", lineAnchor: "middle", fontSize: 12.5, className: "obs-tooltip" }),
+        Plot.text(outsideData, { x: "count", y: "name", text: (item) => item.count.toLocaleString(), textAnchor: "start", dx: 6, fill: theme.palette.text.primary, lineAnchor: "middle", fontSize: 12.5, className: "obs-tooltip" }),
+      ],
+    });
+  }
+}
+
+export default ColocalisationByType;
diff --git a/apps/platform/src/pages/MetricsPage/CredibleSetsByStudyType.tsx b/apps/platform/src/pages/MetricsPage/CredibleSetsByStudyType.tsx
new file mode 100644
index 000000000..15b306c39
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/CredibleSetsByStudyType.tsx
@@ -0,0 +1,8 @@
+import ByStudyType from "./ByStudyType";
+import type { MetricRow } from "./MetricsPage";
+
+function CredibleSetsByStudyType({ data }: { data: MetricRow[] }) {
+  return <ByStudyType data={data} dataset="credible_set" title="Credible sets by study type" />;
+}
+
+export default CredibleSetsByStudyType;
diff --git a/apps/platform/src/pages/MetricsPage/DiseasesByTherapeuticArea.tsx b/apps/platform/src/pages/MetricsPage/DiseasesByTherapeuticArea.tsx
new file mode 100644
index 000000000..a7b393ffd
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/DiseasesByTherapeuticArea.tsx
@@ -0,0 +1,179 @@
+import { Box, Typography, Paper, useTheme } from "@mui/material";
+import * as Plot from "@observablehq/plot";
+import { therapeuticAreas } from "@ot/constants";
+import { ObsPlot } from "ui";
+import type { MetricRow } from "./MetricsPage";
+
+type TherapeuticAreaCount = {
+  name: string;
+  count: number;
+  areas?: TherapeuticAreaCount[];
+};
+
+const count = (rows: MetricRow[], dataset: string) =>
+  rows.find(
+    (row) =>
+      row.dataset === dataset &&
+      row.kind === "scalar" &&
+      row.metric === "count",
+  )?.value ?? 0;
+
+function DiseasesByTherapeuticArea({ data }: { data: MetricRow[] }) {
+  const theme = useTheme();
+  console.log(theme)
+  const areas = data
+    .filter(
+      (row) =>
+        row.dataset === "disease" &&
+        row.kind === "grouping" &&
+        row.metric === "therapeuticArea",
+    )
+    .map((row) => ({
+      name: therapeuticAreas[row.group_value] ?? row.group_value,
+      count: row.value,
+    }));
+  const total = count(data, "disease");
+  const otherAreas = areas
+    .filter((area) => area.count < total * 0.02)
+    .sort((a, b) => b.count - a.count);
+  const chartData: TherapeuticAreaCount[] = areas
+    .filter((area) => area.count >= total * 0.02)
+    .sort((a, b) => b.count - a.count);
+
+  if (otherAreas.length > 0) {
+    chartData.push({
+      name: "Other",
+      count: otherAreas.reduce((sum, area) => sum + area.count, 0),
+      areas: otherAreas,
+    });
+  }
+
+  if (chartData.length === 0) return null;
+
+  return (
+    <Paper sx={{ py: 2, px: 3, maxWidth: "100%" }} elevation={0} variant="outlined" >
+      <Box sx={{ minWidth: 0 }}>
+        <Typography variant="subtitle2" sx={{ m: 0 }}>
+          Diseases by therapeutic area
+        </Typography>
+        <ObsPlot
+          data={chartData}
+          otherData={{ textColor: theme.palette.text.primary }}
+          minWidth={320}
+          height={chartData.length * 23 + 8}
+          renderChart={renderChart}
+          xTooltip={(area) => area.count}
+          yTooltip={(area) => area.name}
+          xAnchorTooltip="adapt"
+          yAnchorTooltip="adapt"
+          renderTooltip={renderTooltip}
+          gapInfo={0}
+          renderInfo={() => null}
+        />
+      </Box>
+      <Typography variant="caption" component="p" sx={{ textAlign: "right", fontStyle: "italic" }}>
+        A disease can belong to more than one therapeutic area
+      </Typography>
+    </Paper>
+  );
+
+  function renderChart({
+    data,
+    otherData,
+    width,
+    height,
+  }: {
+    data: TherapeuticAreaCount[];
+    otherData?: { textColor: string };
+    width?: number;
+    height: number;
+  }) {
+    const plotWidth = Math.max((width ?? 0) - 210 - 24, 0);
+    const maxCount = Math.max(...data.map((area) => area.count));
+    const countLabelWidth = (area: TherapeuticAreaCount) =>
+      `${area.count.toLocaleString()}`.length * 7 + 12;
+    const insideData = data.filter(
+      (area) => (area.count / maxCount) * plotWidth >= countLabelWidth(area),
+    );
+    const outsideData = data.filter((area) => !insideData.includes(area));
+
+    return Plot.plot({
+      width: width ?? 0,
+      height,
+      style: { fontSize: "13.5px" },
+      marginTop: 4,
+      marginBottom: 4,
+      marginLeft: 240,
+      marginRight: 0,
+      x: { axis: null },
+      y: {
+        domain: data.map((area) => area.name),
+        label: null,
+        tickSize: 0,
+        tickPadding: 8,
+        tickFormat: (name) => name,
+      },
+      marks: [
+        Plot.barX(data, {
+          x: "count",
+          y: "name",
+          // fill: (area) => (area.areas ? "#5b89b0" : "#1963a3"),
+          fill: (area) => (area.areas ? theme.palette.primary.light : theme.palette.primary.main),
+          insetTop: 2,
+          insetBottom: 2,
+          className: "obs-tooltip",
+        }),
+        Plot.text(insideData, {
+          x: (area) => area.count,
+          y: "name",
+          text: (area) => area.count.toLocaleString(),
+          textAnchor: "end",
+          dx: -6,
+          fill: "white",
+          lineAnchor: "middle",
+          fontSize: 12.5,
+          pointerEvents: "none",
+          className: "obs-tooltip",
+        }),
+        Plot.text(outsideData, {
+          x: (area) => area.count,
+          y: "name",
+          text: (area) => area.count.toLocaleString(),
+          textAnchor: "start",
+          dx: 6,
+          fill: otherData?.textColor ?? "currentColor",
+          lineAnchor: "middle",
+          fontSize: 12.5,
+          pointerEvents: "none",
+          className: "obs-tooltip",
+        }),
+      ],
+    });
+  }
+
+}
+
+function renderTooltip(area: TherapeuticAreaCount) {
+  if (!area.areas) return null;
+
+  return (
+    <Box
+      sx={{
+        backgroundColor: "background.paper",
+        border: 1,
+        borderColor: "divider",
+        borderRadius: 1,
+        boxShadow: 2,
+        p: 1,
+      }}
+    >
+      {area.areas.map((otherArea) => (
+        <Typography key={otherArea.name} variant="body2">
+          {otherArea.name}: {otherArea.count.toLocaleString()}
+        </Typography>
+      ))}
+    </Box>
+  );
+}
+
+export default DiseasesByTherapeuticArea;
diff --git a/apps/platform/src/pages/MetricsPage/DrugsByClinicalStage.tsx b/apps/platform/src/pages/MetricsPage/DrugsByClinicalStage.tsx
new file mode 100644
index 000000000..672b40cb9
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/DrugsByClinicalStage.tsx
@@ -0,0 +1,8 @@
+import ClinicalStageChart from "./ClinicalStageChart";
+import type { MetricRow } from "./MetricsPage";
+
+function DrugsByClinicalStage({ data }: { data: MetricRow[] }) {
+  return <ClinicalStageChart data={data} dataset="drug_molecule" title="Drugs by clinical stage" />;
+}
+
+export default DrugsByClinicalStage;
diff --git a/apps/platform/src/pages/MetricsPage/EvidenceChart.tsx b/apps/platform/src/pages/MetricsPage/EvidenceChart.tsx
new file mode 100644
index 000000000..0ff2c8917
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/EvidenceChart.tsx
@@ -0,0 +1,8 @@
+import AssociationPlot from "./AssociationPlot";
+import type { MetricRow } from "./MetricsPage";
+
+function EvidenceChart({ data }: { data: MetricRow[] }) {
+  return <AssociationPlot data={data} datasetPrefix="evidence_" title="Target-disease evidence" labelFromDataset />;
+}
+
+export default EvidenceChart;
diff --git a/apps/platform/src/pages/MetricsPage/MetricsCards.tsx b/apps/platform/src/pages/MetricsPage/MetricsCards.tsx
new file mode 100644
index 000000000..7b5d12ee6
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/MetricsCards.tsx
@@ -0,0 +1,73 @@
+import { Box, Card, CardContent, Typography } from "@mui/material";
+import { format } from "d3";
+import {
+  faChartBar,
+  faDna,
+  faMapPin,
+  faPrescriptionBottleMedical,
+  faStethoscope,
+  faProjectDiagram,
+  faCircleNodes
+} from "@fortawesome/free-solid-svg-icons";
+import { FontAwesomeIcon } from "@fortawesome/react-fontawesome";
+import type { IconDefinition } from "@fortawesome/fontawesome-svg-core";
+import { Tooltip } from "ui";
+import type { MetricRow } from "./MetricsPage";
+
+const count = (rows: MetricRow[], dataset: string) =>
+  rows.find((row) => row.dataset === dataset && row.kind === "scalar" && row.metric === "count")?.value ?? 0;
+
+const formatRoundedCount = (value: number) => {
+  if (value === 0) return "0";
+
+  return format(".2~s")(value);
+};
+
+function MetricsCards({ data }: { data: MetricRow[] }) {
+  const metrics = [
+    ["Targets", faDna, count(data, "target")],
+    ["Diseases", faStethoscope, count(data, "disease")],
+    ["Drugs", faPrescriptionBottleMedical, count(data, "drug_molecule")],
+    ["Clinical reports", faChartBar, count(data, "clinical_report")],
+    ["GWAS", faChartBar, count(data, "study")],
+    ["Credible sets", faProjectDiagram, count(data, "credible_set")],
+    ["Direct target-disease association", faProjectDiagram, count(data, "association_overall_direct")],
+    ["Indirect target-disease association", faProjectDiagram, count(data, "association_overall_indirect")],
+    ["Target-disease Evidence", faProjectDiagram, data.filter((row) => row.dataset.startsWith("evidence_") && row.metric === "count").reduce((sum, row) => sum + row.value, 0)],
+    ["Variants", faMapPin, count(data, "variant")],
+  ] as const;
+
+  return (
+    <Box
+      sx={{
+        display: "grid",
+        gridTemplateColumns: {
+          xs: "1fr",
+          sm: "repeat(2, minmax(0, 1fr))",
+          md: "repeat(3, minmax(0, 1fr))",
+          lg: "repeat(4, minmax(0, 1fr))",
+          xl: "repeat(5, minmax(0, 1fr))",
+        },
+        gap: 2,
+      }}
+    >
+      {metrics.map(([label, icon, value]) => (
+        <Card key={label} sx={{ width: "100%" }}>
+          <CardContent sx={{ display: "flex", alignItems: "center", gap: 2 }}>
+            <Box sx={{ color: "primary.main", fontSize: "2rem", width: 42, textAlign: "center" }}>
+              <FontAwesomeIcon icon={icon as IconDefinition} />
+            </Box>
+            <Box>
+              <Typography variant="body2" sx={{ textTransform: "uppercase" }}>{label}</Typography>
+              <Tooltip title={format(",")(value)}>
+                <Typography variant="h5" fontWeight="600">{formatRoundedCount(value)}</Typography>
+              </Tooltip>
+            </Box>
+          </CardContent>
+        </Card>
+      ))}
+    </Box>
+  );
+}
+
+export default MetricsCards;
diff --git a/apps/platform/src/pages/MetricsPage/MetricsPage.tsx b/apps/platform/src/pages/MetricsPage/MetricsPage.tsx
new file mode 100644
index 000000000..759dca4e6
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/MetricsPage.tsx
@@ -0,0 +1,63 @@
+import { useEffect, useState } from "react";
+import { autoType, csv } from "d3";
+import { Typography } from "@mui/material";
+import metricsCsv from "./metrics.csv?url";
+import MetricsCards from "./MetricsCards";
+import DiseasesByTherapeuticArea from "./DiseasesByTherapeuticArea";
+import EvidenceChart from "./EvidenceChart";
+import AssociationPlot from "./AssociationPlot";
+import DrugsByClinicalStage from "./DrugsByClinicalStage";
+import ClinicalReportsByStage from "./ClinicalReportsByStage";
+import CredibleSetsByStudyType from "./CredibleSetsByStudyType";
+import ColocalisationByType from "./ColocalisationByType";
+import StudiesByStudyType from "./StudiesByStudyType";
+import VariantsByConsequence from "./VariantsByConsequence";
+
+export type MetricRow = { dataset: string; kind: string; metric: string; group_value: string; value: number };
+
+function MetricsPage() {
+  const [data, setData] = useState<MetricRow[]>([]);
+
+  useEffect(() => {
+    csv(metricsCsv, autoType).then((d) => setData(d as unknown as MetricRow[]));
+  }, []);
+
+  return (
+    <>
+      <Typography variant="h4" sx={{ mb: 2 }}>Data Metrics</Typography>
+      <MetricsCards data={data} />
+      {/* <Typography sx={{ pt: 3 }}><b>Polish:</b> do these look like buttons? </Typography>
+      <Typography><b>Todo:</b> finalise card order and icons - what for coloc? evidence and cred sets ok to be same? more info in tooltip where approp? - e.g. explain a prioritised gene</Typography>
+      <Typography sx={{ pb: 3 }}><b>Alternative:</b> more hierarchical, e.g. split into top-level entity counts then evidence linking targets and diseases, credible sets and colocs in variants section.</Typography> */}
+      
+      <Typography variant="h5" sx={{ mt: 4, mb: 2 }}>Coverage</Typography>
+
+      {/* <Typography sx={{ py: 3 }}><b>Alternative:</b> Replace Other+tooltip with 'show more'?</Typography> */}
+      <EvidenceChart data={data} />
+      <br />
+      <AssociationPlot data={data} datasetPrefix="association_by_datasource_direct" title="Direct associations" />
+      <br />
+      <AssociationPlot data={data} datasetPrefix="association_by_datasource_indirect" title="Indirect associations" />
+      <br />
+      {/* <Typography sx={{ py: 3 }}><b>Alternative:</b> </Typography>       */}
+      <DrugsByClinicalStage data={data} />
+      <br />
+      <ClinicalReportsByStage data={data} />
+      {/* <Typography sx={{ py: 3 }}><b>Alternative:</b> </Typography> */}
+
+      <Typography variant="h5" sx={{ mt: 4, mb: 2 }}>Genetics</Typography>
+      <StudiesByStudyType data={data} />
+      <br />
+      <CredibleSetsByStudyType data={data} />
+      <br />
+      {/* <Typography sx={{ py: 3 }}><b>Alternative:</b> </Typography> */}
+      <ColocalisationByType data={data} />
+      <br />
+      <VariantsByConsequence data={data} />
+      {/* <Typography sx={{ pt: 3 }}><b>Polish:</b>Can we remove "variant" from every bar label?</Typography> */}
+      {/* <Typography ><b>Alternative:</b>Replace Other+tooltip with 'show more'?</Typography> */}
+    </>
+  );
+}
+
+export default MetricsPage;
diff --git a/apps/platform/src/pages/MetricsPage/MetricsPageWrapper.tsx b/apps/platform/src/pages/MetricsPage/MetricsPageWrapper.tsx
new file mode 100644
index 000000000..12ede9bf1
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/MetricsPageWrapper.tsx
@@ -0,0 +1,24 @@
+import { Suspense, lazy } from "react";
+import { useLocation } from "react-router";
+import { LoadingBackdrop, PageMeta } from "ui";
+
+const MetricsPage = lazy(() => import("./MetricsPage"));
+
+function MetricsPageWrapper() {
+  const location = useLocation();
+
+  return (
+    <>
+      <PageMeta
+        title="Data Metrics"
+        description="Platform metrics | Open Targets Platform"
+        location={location}
+      />
+      <Suspense fallback={<LoadingBackdrop />}>
+        <MetricsPage />
+      </Suspense>
+    </>
+  );
+}
+
+export default MetricsPageWrapper;
diff --git a/apps/platform/src/pages/MetricsPage/StudiesByStudyType.tsx b/apps/platform/src/pages/MetricsPage/StudiesByStudyType.tsx
new file mode 100644
index 000000000..e159761ea
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/StudiesByStudyType.tsx
@@ -0,0 +1,8 @@
+import ByStudyType from "./ByStudyType";
+import type { MetricRow } from "./MetricsPage";
+
+function StudiesByStudyType({ data }: { data: MetricRow[] }) {
+  return <ByStudyType data={data} dataset="study" title="Studies by study type" />;
+}
+
+export default StudiesByStudyType;
diff --git a/apps/platform/src/pages/MetricsPage/VariantsByConsequence.tsx b/apps/platform/src/pages/MetricsPage/VariantsByConsequence.tsx
new file mode 100644
index 000000000..7ccc733cd
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/VariantsByConsequence.tsx
@@ -0,0 +1,166 @@
+import { Box, Paper, Typography, useTheme } from "@mui/material";
+import * as Plot from "@observablehq/plot";
+import { PREDICTED_CONSEQUENCE_LOOKUP } from "@ot/constants";
+import { ObsPlot } from "ui";
+import type { MetricRow } from "./MetricsPage";
+
+type ConsequenceCount = { name: string; count: number; consequences?: ConsequenceCount[] };
+
+function VariantsByConsequence({ data }: { data: MetricRow[] }) {
+  const theme = useTheme();
+  const consequences: ConsequenceCount[] = data
+    .filter(
+      (row) =>
+        row.dataset === "variant" &&
+        row.kind === "grouping" &&
+        row.expression === "mostSevereConsequenceId" &&
+        row.group_value,
+    )
+    .map((row) => ({
+      name:
+        PREDICTED_CONSEQUENCE_LOOKUP[
+          row.group_value.replace("_", ":") as keyof typeof PREDICTED_CONSEQUENCE_LOOKUP
+        ]?.displayTerm ?? row.group_value,
+      count: row.value,
+    }))
+    .sort((a, b) => b.count - a.count);
+  const total = consequences.reduce((sum, consequence) => sum + consequence.count, 0);
+  const otherConsequences = consequences.filter(
+    (consequence) => consequence.count < total * 0.01,
+  );
+  const chartData = consequences.filter((consequence) => consequence.count >= total * 0.01);
+
+  if (otherConsequences.length > 0) {
+    chartData.push({
+      name: "Other",
+      count: otherConsequences.reduce((sum, consequence) => sum + consequence.count, 0),
+      consequences: otherConsequences,
+    });
+  }
+
+  if (chartData.length === 0) return null;
+
+  return (
+    <Paper
+      sx={{ py: 2, px: 3, maxWidth: "100%" }}
+      elevation={0}
+      variant="outlined"
+    >
+      <Box sx={{ minWidth: 0 }}>
+        <Typography variant="subtitle2" sx={{ m: 0 }}>
+          Variants by most severe consequence
+        </Typography>
+        <ObsPlot
+          data={chartData}
+          otherData={{ textColor: theme.palette.text.primary }}
+          minWidth={320}
+          height={chartData.length * 23 + 8}
+          renderChart={renderChart}
+          xTooltip={(item) => item.count}
+          yTooltip={(item) => item.name}
+          xAnchorTooltip="adapt"
+          yAnchorTooltip="adapt"
+          renderTooltip={renderTooltip}
+          gapInfo={0}
+          renderInfo={() => null}
+        />
+      </Box>
+    </Paper>
+  );
+
+  function renderChart({
+    data,
+    width,
+    height,
+  }: {
+    data: ConsequenceCount[];
+    width?: number;
+    height: number;
+  }) {
+    const plotWidth = Math.max((width ?? 0) - 210 - 24, 0);
+    const maxCount = Math.max(...data.map((item) => item.count));
+    const insideData = data.filter(
+      (item) =>
+        (item.count / maxCount) * plotWidth >=
+        `${item.count.toLocaleString()}`.length * 7 + 12,
+    );
+    const outsideData = data.filter((item) => !insideData.includes(item));
+
+    return Plot.plot({
+      width: width ?? 0,
+      height,
+      style: { fontSize: "13.5px" },
+      marginTop: 4,
+      marginBottom: 4,
+      marginLeft: 240,
+      marginRight: 0,
+      x: { axis: null },
+      y: {
+        domain: data.map((item) => item.name),
+        label: null,
+        tickSize: 0,
+        tickPadding: 8,
+      },
+      marks: [
+        Plot.barX(data, {
+          x: "count",
+          y: "name",
+          fill: (item) =>
+            item.consequences ? theme.palette.primary.light : theme.palette.primary.main,
+          insetTop: 2,
+          insetBottom: 2,
+          className: "obs-tooltip",
+        }),
+        Plot.text(insideData, {
+          x: (item) => item.count,
+          y: "name",
+          text: (item) => item.count.toLocaleString(),
+          textAnchor: "end",
+          dx: -6,
+          fill: "white",
+          lineAnchor: "middle",
+          fontSize: 12.5,
+          pointerEvents: "none",
+          className: "obs-tooltip",
+        }),
+        Plot.text(outsideData, {
+          x: (item) => item.count,
+          y: "name",
+          text: (item) => item.count.toLocaleString(),
+          textAnchor: "start",
+          dx: 6,
+          fill: theme.palette.text.primary,
+          lineAnchor: "middle",
+          fontSize: 12.5,
+          pointerEvents: "none",
+          className: "obs-tooltip",
+        }),
+      ],
+    });
+  }
+}
+
+function renderTooltip(consequence: ConsequenceCount) {
+  if (!consequence.consequences) return null;
+
+  return (
+    <Box
+      sx={{
+        backgroundColor: "background.paper",
+        border: 1,
+        borderColor: "divider",
+        borderRadius: 1,
+        boxShadow: 2,
+        p: 1,
+      }}
+    >
+      {consequence.consequences.map((item) => (
+        <Typography key={item.name} variant="body2">
+          {item.name}: {item.count.toLocaleString()}
+        </Typography>
+      ))}
+    </Box>
+  );
+}
+
+export default VariantsByConsequence;
diff --git a/apps/platform/src/pages/MetricsPage/index.ts b/apps/platform/src/pages/MetricsPage/index.ts
new file mode 100644
index 000000000..7ae3523b1
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/index.ts
@@ -0,0 +1 @@
+export { default } from "./MetricsPageWrapper";
diff --git a/apps/platform/src/pages/MetricsPage/metrics.csv b/apps/platform/src/pages/MetricsPage/metrics.csv
new file mode 100644
index 000000000..045d0c13c
--- /dev/null
+++ b/apps/platform/src/pages/MetricsPage/metrics.csv
@@ -0,0 +1,382 @@
+run,dataset,kind,metric,expression,group_value,value
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,europepmc,2510811
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,gwas_credible_sets,949600
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,impc,838318
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,expression_atlas,166503
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,cancer_gene_census,91572
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,clinical_precedence,66282
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,eva,41347
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,genomics_england,12536
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,crispr_screen,10960
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,gene_burden,7729
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,orphanet,7232
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,uniprot_literature,6574
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,uniprot_variants,5126
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,gene2phenotype,4915
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,clingen,3824
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,reactome,2928
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,intogen,2595
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,eva_somatic,2373
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,crispr,517
+26.03-test5,association_by_datasource_direct,grouping,datasource,aggregationValue,cancer_biomarkers,469
+26.03-test5,association_by_datasource_direct,scalar,count,,,4732211
+26.03-test5,association_by_datasource_direct,scalar,file_size,,,655362472
+26.03-test5,association_by_datasource_direct,scalar,number_of_partitions,,,53
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,europepmc,8246446
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,gwas_credible_sets,2622428
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,impc,2461182
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,cancer_gene_census,382883
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,clinical_precedence,259530
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,eva,228202
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,expression_atlas,166503
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,genomics_england,99619
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,orphanet,74195
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,uniprot_literature,73310
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,uniprot_variants,57366
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,crispr_screen,50614
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,gene2phenotype,45286
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,clingen,39587
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,intogen,28827
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,eva_somatic,27621
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,gene_burden,25546
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,reactome,19537
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,crispr,7486
+26.03-test5,association_by_datasource_indirect,grouping,datasource,aggregationValue,cancer_biomarkers,5243
+26.03-test5,association_by_datasource_indirect,scalar,count,,,14921411
+26.03-test5,association_by_datasource_indirect,scalar,file_size,,,2579684447
+26.03-test5,association_by_datasource_indirect,scalar,number_of_partitions,,,206
+26.03-test5,association_by_datatype_direct,grouping,datatype,aggregationValue,literature,2510811
+26.03-test5,association_by_datatype_direct,grouping,datatype,aggregationValue,genetic_association,997062
+26.03-test5,association_by_datatype_direct,grouping,datatype,aggregationValue,animal_model,838318
+26.03-test5,association_by_datatype_direct,grouping,datatype,aggregationValue,rna_expression,166503
+26.03-test5,association_by_datatype_direct,grouping,datatype,aggregationValue,somatic_mutation,94789
+26.03-test5,association_by_datatype_direct,grouping,datatype,aggregationValue,known_drug,66282
+26.03-test5,association_by_datatype_direct,grouping,datatype,aggregationValue,genetic_literature,17323
+26.03-test5,association_by_datatype_direct,grouping,datatype,aggregationValue,affected_pathway,14820
+26.03-test5,association_by_datatype_direct,scalar,count,,,4705908
+26.03-test5,association_by_datatype_direct,scalar,file_size,,,651994922
+26.03-test5,association_by_datatype_direct,scalar,number_of_partitions,,,52
+26.03-test5,association_by_datatype_indirect,grouping,datatype,aggregationValue,literature,8246446
+26.03-test5,association_by_datatype_indirect,grouping,datatype,aggregationValue,genetic_association,2823514
+26.03-test5,association_by_datatype_indirect,grouping,datatype,aggregationValue,animal_model,2461182
+26.03-test5,association_by_datatype_indirect,grouping,datatype,aggregationValue,somatic_mutation,406376
+26.03-test5,association_by_datatype_indirect,grouping,datatype,aggregationValue,known_drug,259530
+26.03-test5,association_by_datatype_indirect,grouping,datatype,aggregationValue,rna_expression,166503
+26.03-test5,association_by_datatype_indirect,grouping,datatype,aggregationValue,genetic_literature,123072
+26.03-test5,association_by_datatype_indirect,grouping,datatype,aggregationValue,affected_pathway,80993
+26.03-test5,association_by_datatype_indirect,scalar,count,,,14567616
+26.03-test5,association_by_datatype_indirect,scalar,file_size,,,2521892963
+26.03-test5,association_by_datatype_indirect,scalar,number_of_partitions,,,200
+26.03-test5,association_overall_direct,scalar,count,,,4508002
+26.03-test5,association_overall_direct,scalar,file_size,,,633763096
+26.03-test5,association_overall_direct,scalar,number_of_partitions,,,43
+26.03-test5,association_overall_indirect,scalar,count,,,12466856
+26.03-test5,association_overall_indirect,scalar,file_size,,,2217540168
+26.03-test5,association_overall_indirect,scalar,number_of_partitions,,,143
+26.03-test5,biosample,scalar,count,,,35744
+26.03-test5,biosample,scalar,file_size,,,8254341
+26.03-test5,biosample,scalar,number_of_partitions,,,1
+26.03-test5,clinical_indication,scalar,count,,,53950
+26.03-test5,clinical_indication,scalar,file_size,,,3453490
+26.03-test5,clinical_indication,scalar,number_of_partitions,,,1
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,PHASE_2,63105
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,PHASE_1,49053
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,UNKNOWN,39393
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,PHASE_3,38277
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,PHASE_4,29917
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,APPROVAL,29502
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,PHASE_1_2,15701
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,PHASE_2_3,6106
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,EARLY_PHASE_1,4703
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,IND,4626
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,PRECLINICAL,3812
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,WITHDRAWAL,858
+26.03-test5,clinical_report,grouping,clinicalStage,clinicalStage,PREAPPROVAL,160
+26.03-test5,clinical_report,scalar,count,,,285213
+26.03-test5,clinical_report,scalar,file_size,,,74933170
+26.03-test5,clinical_report,scalar,number_of_partitions,,,1
+26.03-test5,clinical_target,scalar,count,,,13407
+26.03-test5,clinical_target,scalar,file_size,,,2776591
+26.03-test5,clinical_target,scalar,number_of_partitions,,,1
+26.03-test5,colocalisation,grouping,studyTypePair,"concat('gwas-', rightStudyType)",gwas-gwas,167048267
+26.03-test5,colocalisation,grouping,studyTypePair,"concat('gwas-', rightStudyType)",gwas-eqtl,28944408
+26.03-test5,colocalisation,grouping,studyTypePair,"concat('gwas-', rightStudyType)",gwas-tuqtl,8500302
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diff --git a/packages/ot-constants/src/index.ts b/packages/ot-constants/src/index.ts
index 98cfcf85c..1c313c64e 100644
--- a/packages/ot-constants/src/index.ts
+++ b/packages/ot-constants/src/index.ts
@@ -397,6 +397,176 @@ export const variantConsequenceSource = {
   },
 };
 
+// from Ensembl: https://www.ensembl.org/info/genome/variation/prediction/predicted_data.html
+export const PREDICTED_CONSEQUENCE_LOOKUP = {
+  "SO:0001893": { color: "#ff0000", displayTerm: "Transcript ablation", impact: "HIGH", rank: 0 },
+  "SO:0001574": {
+    color: "#ff581a",
+    displayTerm: "Splice acceptor variant",
+    impact: "HIGH",
+    rank: 1,
+  },
+  "SO:0001575": { color: "#ff581a", displayTerm: "Splice donor variant", impact: "HIGH", rank: 2 },
+  "SO:0001587": { color: "#ff0000", displayTerm: "Stop gained", impact: "HIGH", rank: 3 },
+  "SO:0001589": { color: "#9400d3", displayTerm: "Frameshift variant", impact: "HIGH", rank: 4 },
+  "SO:0001578": { color: "#ff0000", displayTerm: "Stop lost", impact: "HIGH", rank: 5 },
+  "SO:0002012": { color: "#ffd700", displayTerm: "Start lost", impact: "HIGH", rank: 6 },
+  "SO:0001889": {
+    color: "#ff69b4",
+    displayTerm: "Transcript amplification",
+    impact: "HIGH",
+    rank: 7,
+  },
+  "SO:0001907": { color: "#7f7f7f", displayTerm: "Feature elongation", impact: "HIGH", rank: 8 },
+  "SO:0001906": { color: "#7f7f7f", displayTerm: "Feature truncation", impact: "HIGH", rank: 9 },
+  "SO:0001821": {
+    color: "#ff69b4",
+    displayTerm: "Inframe insertion",
+    impact: "MODERATE",
+    rank: 10,
+  },
+  "SO:0001822": { color: "#ff69b4", displayTerm: "Inframe deletion", impact: "MODERATE", rank: 11 },
+  "SO:0001583": { color: "#ffd700", displayTerm: "Missense variant", impact: "MODERATE", rank: 12 },
+  "SO:0001818": {
+    color: "#ff0080",
+    displayTerm: "Protein altering variant",
+    impact: "MODERATE",
+    rank: 13,
+  },
+  "SO:0001787": {
+    color: "#ff7f50",
+    displayTerm: "Splice donor 5th base variant",
+    impact: "LOW",
+    rank: 14,
+  },
+  "SO:0001630": { color: "#ff7f50", displayTerm: "Splice region variant", impact: "LOW", rank: 15 },
+  "SO:0002170": {
+    color: "#ff7f50",
+    displayTerm: "Splice donor region variant",
+    impact: "LOW",
+    rank: 16,
+  },
+  "SO:0002169": {
+    color: "#ff7f50",
+    displayTerm: "Splice polypyrimidine tract variant",
+    impact: "LOW",
+    rank: 17,
+  },
+  "SO:0001626": {
+    color: "#ff00ff",
+    displayTerm: "Incomplete terminal codon variant",
+    impact: "LOW",
+    rank: 18,
+  },
+  "SO:0002019": {
+    color: "#76ee00",
+    displayTerm: "Start retained variant",
+    impact: "LOW",
+    rank: 19,
+  },
+  "SO:0001567": { color: "#76ee00", displayTerm: "Stop retained variant", impact: "LOW", rank: 20 },
+  "SO:0001819": { color: "#76ee00", displayTerm: "Synonymous variant", impact: "LOW", rank: 21 },
+  "SO:0001580": {
+    color: "#458b00",
+    displayTerm: "Coding sequence variant",
+    impact: "MODIFIER",
+    rank: 22,
+  },
+  "SO:0001620": {
+    color: "#458b00",
+    displayTerm: "Mature miRNA variant",
+    impact: "MODIFIER",
+    rank: 23,
+  },
+  "SO:0001623": {
+    color: "#7ac5cd",
+    displayTerm: "5 prime UTR variant",
+    impact: "MODIFIER",
+    rank: 24,
+  },
+  "SO:0001624": {
+    color: "#7ac5cd",
+    displayTerm: "3 prime UTR variant",
+    impact: "MODIFIER",
+    rank: 25,
+  },
+  "SO:0001792": {
+    color: "#32cd32",
+    displayTerm: "Non coding transcript exon variant",
+    impact: "MODIFIER",
+    rank: 26,
+  },
+  "SO:0001627": { color: "#02599c", displayTerm: "Intron variant", impact: "MODIFIER", rank: 27 },
+  "SO:0001621": {
+    color: "#ff4500",
+    displayTerm: "NMD transcript variant",
+    impact: "MODIFIER",
+    rank: 28,
+  },
+  "SO:0001619": {
+    color: "#32cd32",
+    displayTerm: "Non coding transcript variant",
+    impact: "MODIFIER",
+    rank: 29,
+  },
+  "SO:0001968": {
+    color: "#458b00",
+    displayTerm: "Coding transcript variant",
+    impact: "MODIFIER",
+    rank: 30,
+  },
+  "SO:0001631": {
+    color: "#a2b5cd",
+    displayTerm: "Upstream gene variant",
+    impact: "MODIFIER",
+    rank: 31,
+  },
+  "SO:0001632": {
+    color: "#a2b5cd",
+    displayTerm: "Downstream gene variant",
+    impact: "MODIFIER",
+    rank: 32,
+  },
+  "SO:0001895": { color: "#a52a2a", displayTerm: "TFBS ablation", impact: "MODIFIER", rank: 33 },
+  "SO:0001892": {
+    color: "#a52a2a",
+    displayTerm: "TFBS amplification",
+    impact: "MODIFIER",
+    rank: 34,
+  },
+  "SO:0001782": {
+    color: "#a52a2a",
+    displayTerm: "TF binding site variant",
+    impact: "MODIFIER",
+    rank: 35,
+  },
+  "SO:0001894": {
+    color: "#a52a2a",
+    displayTerm: "Regulatory region ablation",
+    impact: "MODIFIER",
+    rank: 36,
+  },
+  "SO:0001891": {
+    color: "#a52a2a",
+    displayTerm: "Regulatory region amplification",
+    impact: "MODIFIER",
+    rank: 37,
+  },
+  "SO:0001566": {
+    color: "#a52a2a",
+    displayTerm: "Regulatory region variant",
+    impact: "MODIFIER",
+    rank: 38,
+  },
+  "SO:0001628": {
+    color: "#636363",
+    displayTerm: "Intergenic variant",
+    impact: "MODIFIER",
+    rank: 39,
+  },
+  "SO:0001060": { color: "#636363", displayTerm: "Sequence variant", impact: "MODIFIER", rank: 40 },
+};
+
 // Population Mapping
 export const populationMap: { [key: string]: string } = {
   fin: "Finnish",
@@ -455,6 +625,76 @@ export const baselineUnits = {
   "mass-spectrometry proteomics": "PPB",
 };
 
+export const therapeuticPriorities = {
+  EFO_0001444: { name: "measurement", rank: 1 },
+  MONDO_0045024: { name: "cancer or benign tumor", rank: 2 },
+  OTAR_0000018: { name: "genetic, familial or congenital", rank: 3 },
+  MONDO_0005550: { name: "infectious disease", rank: 4 },
+  OTAR_0000009: { name: "injury, poisoning or complication", rank: 5 },
+  OTAR_0000014: { name: "pregnancy or perinatal", rank: 6 },
+  MONDO_0024458: { name: "visual system", rank: 7 },
+  MONDO_0004995: { name: "cardiovascular", rank: 8 },
+  MONDO_0002356: { name: "pancreas", rank: 9 },
+  MONDO_0002515: { name: "liver", rank: 10 },
+  EFO_0010282: { name: "gastrointestinal", rank: 11 },
+  OTAR_0000017: { name: "reproductive system or breast", rank: 12 },
+  MONDO_0002051: { name: "integumentary system", rank: 13 },
+  MONDO_0005151: { name: "endocrine system", rank: 14 },
+  OTAR_0000010: { name: "respiratory or thoracic", rank: 15 },
+  MONDO_0002118: { name: "urinary system", rank: 16 },
+  OTAR_0000006: { name: "musculoskeletal or connective ...", rank: 17 },
+  MONDO_0021205: { name: "disorder of ear", rank: 18 },
+  MONDO_0005046: { name: "immune system", rank: 19 },
+  MONDO_0005570: { name: "hematologic", rank: 20 },
+  MONDO_0005071: { name: "nervous system", rank: 21 },
+  MONDO_0002025: { name: "psychiatric", rank: 22 },
+  OTAR_0000020: { name: "nutritional or metabolic", rank: 23 },
+  GO_0008150: { name: "biological process", rank: 24 },
+  EFO_0000651: { name: "phenotype", rank: 25 },
+  EFO_0002571: { name: "medical procedure", rank: 26 },
+  MONDO_0005583: { name: "animal disease", rank: 27 },
+};
+
+export const therapeuticAreas: Record<string, string> = {
+  EFO_0001444: "measurement",
+  MONDO_0045024: "cancer or benign tumor",
+  OTAR_0000018: "genetic, familial or congenital",
+  MONDO_0005550: "infectious disease",
+  OTAR_0000009: "injury, poisoning or complication",
+  OTAR_0000014: "pregnancy or perinatal",
+  MONDO_0024458: "visual system",
+  MONDO_0004995: "cardiovascular",
+  MONDO_0002356: "pancreas",
+  MONDO_0002515: "liver",
+  EFO_0010282: "gastrointestinal",
+  OTAR_0000017: "reproductive system or breast",
+  MONDO_0002051: "integumentary system",
+  MONDO_0005151: "endocrine system",
+  OTAR_0000010: "respiratory or thoracic",
+  MONDO_0002118: "urinary system",
+  OTAR_0000006: "musculoskeletal or connective tissue",
+  MONDO_0021205: "disorder of ear",
+  MONDO_0005046: "immune system",
+  MONDO_0005570: "hematologic",
+  MONDO_0005071: "nervous system",
+  MONDO_0002025: "psychiatric",
+  OTAR_0000020: "nutritional or metabolic",
+  GO_0008150: "biological process",
+  EFO_0000651: "phenotype",
+  EFO_0002571: "medical procedure",
+  MONDO_0005583: "animal disease",
+  EFO_0000319: "cardiovascular",
+  EFO_0000540: "immune system",
+  EFO_0000618: "nervous system",
+  EFO_0001379: "endocrine system",
+  EFO_0005741: "infectious disease",
+  EFO_0005803: "hematologic",
+  EFO_0005932: "animal disease",
+  EFO_0009690: "urinary system",
+  EFO_0010284: "liver",
+  EFO_0010285: "integumentary system",
+};
+
 export * from "./alphaFold";
 export * from "./dataTypes";
 export * from "./particlesBackground";
diff --git a/packages/sections/src/variant/GWASCredibleSets/PheWasPlot.tsx b/packages/sections/src/variant/GWASCredibleSets/PheWasPlot.tsx
index 52f1a04a6..80206b902 100644
--- a/packages/sections/src/variant/GWASCredibleSets/PheWasPlot.tsx
+++ b/packages/sections/src/variant/GWASCredibleSets/PheWasPlot.tsx
@@ -1,6 +1,6 @@
 import { Box, Chip, Skeleton, Typography, useTheme } from "@mui/material";
 import * as PlotLib from "@observablehq/plot";
-import { credsetConfidenceMap, naLabel } from "@ot/constants";
+import { credsetConfidenceMap, naLabel, therapeuticPriorities } from "@ot/constants";
 import { Fragment } from "react";
 import {
   ClinvarStars,
@@ -55,36 +55,6 @@ function PheWasPlot({
   );
   if (data.length === 0) return null;
 
-  const therapeuticPriorities = {
-    EFO_0001444: { name: "measurement", rank: 1 },
-    MONDO_0045024: { name: "cancer or benign tumor", rank: 2 },
-    OTAR_0000018: { name: "genetic, familial or congenital", rank: 3 },
-    MONDO_0005550: { name: "infectious disease", rank: 4 },
-    OTAR_0000009: { name: "injury, poisoning or complication", rank: 5 },
-    OTAR_0000014: { name: "pregnancy or perinatal", rank: 6 },
-    MONDO_0024458: { name: "visual system", rank: 7 },
-    MONDO_0004995: { name: "cardiovascular", rank: 8 },
-    MONDO_0002356: { name: "pancreas", rank: 9 },
-    MONDO_0002515: { name: "liver", rank: 10 },
-    EFO_0010282: { name: "gastrointestinal", rank: 11 },
-    OTAR_0000017: { name: "reproductive system or breast", rank: 12 },
-    MONDO_0002051: { name: "integumentary system", rank: 13 },
-    MONDO_0005151: { name: "endocrine system", rank: 14 },
-    OTAR_0000010: { name: "respiratory or thoracic", rank: 15 },
-    MONDO_0002118: { name: "urinary system", rank: 16 },
-    OTAR_0000006: { name: "musculoskeletal or connective ...", rank: 17 },
-    MONDO_0021205: { name: "disorder of ear", rank: 18 },
-    MONDO_0005046: { name: "immune system", rank: 19 },
-    MONDO_0005570: { name: "hematologic", rank: 20 },
-    MONDO_0005071: { name: "nervous system", rank: 21 },
-    MONDO_0002025: { name: "psychiatric", rank: 22 },
-    OTAR_0000020: { name: "nutritional or metabolic", rank: 23 },
-    GO_0008150: { name: "biological process", rank: 24 },
-    EFO_0000651: { name: "phenotype", rank: 25 },
-    EFO_0002571: { name: "medical procedure", rank: 26 },
-    MONDO_0005583: { name: "animal disease", rank: 27 },
-  };
-
   function getTherapeuticArea(row) {
     let bestId = null;
     let bestRank = Infinity;