Latest commit

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

GeneticsAgent

GeneticsAgent is an AI-powered specialist that systematically evaluates the human genetic evidence supporting therapeutic targets by integrating data from biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics resources.

It identifies causal disease associations, assesses loss- and gain-of-function evidence, evaluates natural human knockouts and safety liabilities, and synthesizes genetic evidence into standardized confidence scores and actionable recommendations for target identification and validation.

What it does

  • Causal disease associations — mines biobanks and GWAS to link genes/variants to disease with directional and effect-size context.
  • Loss- and gain-of-function evidence — assesses whether reducing or increasing target activity is protective or deleterious.
  • Natural human knockouts — evaluates predicted loss-of-function (pLoF) carriers in population sequencing to gauge tolerability of target inhibition.
  • Safety liabilities — flags pleiotropy, essential-gene constraint, and adverse phenotypes associated with the target.
  • Confidence scoring — synthesizes the above into a standardized, comparable genetic-evidence score.
  • Actionable recommendations — outputs prioritized guidance for target identification and validation.

Data sources

CategoryExamples
BiobanksUK Biobank, FinnGen, All of Us
GWASGWAS Catalog, Open Targets Genetics
Rare disease cohortsClinVar, OMIM, DECIPHER
Population sequencinggnomAD (constraint, pLoF)
Functional genomicsOpen Targets Platform, expression/eQTL resources

Status

Early development. Interfaces and scoring methodology are subject to change.

License

TBD.

About

AI specialist that evaluates human genetic evidence for therapeutic targets across biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics—scoring causal associations, LoF/GoF evidence, human knockouts, and safety liabilities into standardized confidence scores and target validation recommendations.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Latest commit

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

GeneticsAgent

GeneticsAgent is an AI-powered specialist that systematically evaluates the human genetic evidence supporting therapeutic targets by integrating data from biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics resources.

It identifies causal disease associations, assesses loss- and gain-of-function evidence, evaluates natural human knockouts and safety liabilities, and synthesizes genetic evidence into standardized confidence scores and actionable recommendations for target identification and validation.

What it does

  • Causal disease associations — mines biobanks and GWAS to link genes/variants to disease with directional and effect-size context.
  • Loss- and gain-of-function evidence — assesses whether reducing or increasing target activity is protective or deleterious.
  • Natural human knockouts — evaluates predicted loss-of-function (pLoF) carriers in population sequencing to gauge tolerability of target inhibition.
  • Safety liabilities — flags pleiotropy, essential-gene constraint, and adverse phenotypes associated with the target.
  • Confidence scoring — synthesizes the above into a standardized, comparable genetic-evidence score.
  • Actionable recommendations — outputs prioritized guidance for target identification and validation.

Data sources

CategoryExamples
BiobanksUK Biobank, FinnGen, All of Us
GWASGWAS Catalog, Open Targets Genetics
Rare disease cohortsClinVar, OMIM, DECIPHER
Population sequencinggnomAD (constraint, pLoF)
Functional genomicsOpen Targets Platform, expression/eQTL resources

Status

Early development. Interfaces and scoring methodology are subject to change.

License

TBD.

About

AI specialist that evaluates human genetic evidence for therapeutic targets across biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics—scoring causal associations, LoF/GoF evidence, human knockouts, and safety liabilities into standardized confidence scores and target validation recommendations.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

GeneticsAgent

GeneticsAgent is an AI-powered specialist that systematically evaluates the human genetic evidence supporting therapeutic targets by integrating data from biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics resources.

It identifies causal disease associations, assesses loss- and gain-of-function evidence, evaluates natural human knockouts and safety liabilities, and synthesizes genetic evidence into standardized confidence scores and actionable recommendations for target identification and validation.

What it does

  • Causal disease associations — mines biobanks and GWAS to link genes/variants to disease with directional and effect-size context.
  • Loss- and gain-of-function evidence — assesses whether reducing or increasing target activity is protective or deleterious.
  • Natural human knockouts — evaluates predicted loss-of-function (pLoF) carriers in population sequencing to gauge tolerability of target inhibition.
  • Safety liabilities — flags pleiotropy, essential-gene constraint, and adverse phenotypes associated with the target.
  • Confidence scoring — synthesizes the above into a standardized, comparable genetic-evidence score.
  • Actionable recommendations — outputs prioritized guidance for target identification and validation.

Data sources

CategoryExamples
BiobanksUK Biobank, FinnGen, All of Us
GWASGWAS Catalog, Open Targets Genetics
Rare disease cohortsClinVar, OMIM, DECIPHER
Population sequencinggnomAD (constraint, pLoF)
Functional genomicsOpen Targets Platform, expression/eQTL resources

Status

Early development. Interfaces and scoring methodology are subject to change.

License

TBD.

About

AI specialist that evaluates human genetic evidence for therapeutic targets across biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics—scoring causal associations, LoF/GoF evidence, human knockouts, and safety liabilities into standardized confidence scores and target validation recommendations.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

GeneticsAgent

GeneticsAgent is an AI-powered specialist that systematically evaluates the human genetic evidence supporting therapeutic targets by integrating data from biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics resources.

It identifies causal disease associations, assesses loss- and gain-of-function evidence, evaluates natural human knockouts and safety liabilities, and synthesizes genetic evidence into standardized confidence scores and actionable recommendations for target identification and validation.

What it does

  • Causal disease associations — mines biobanks and GWAS to link genes/variants to disease with directional and effect-size context.
  • Loss- and gain-of-function evidence — assesses whether reducing or increasing target activity is protective or deleterious.
  • Natural human knockouts — evaluates predicted loss-of-function (pLoF) carriers in population sequencing to gauge tolerability of target inhibition.
  • Safety liabilities — flags pleiotropy, essential-gene constraint, and adverse phenotypes associated with the target.
  • Confidence scoring — synthesizes the above into a standardized, comparable genetic-evidence score.
  • Actionable recommendations — outputs prioritized guidance for target identification and validation.

Data sources

CategoryExamples
BiobanksUK Biobank, FinnGen, All of Us
GWASGWAS Catalog, Open Targets Genetics
Rare disease cohortsClinVar, OMIM, DECIPHER
Population sequencinggnomAD (constraint, pLoF)
Functional genomicsOpen Targets Platform, expression/eQTL resources

Status

Early development. Interfaces and scoring methodology are subject to change.

License

TBD.

About

AI specialist that evaluates human genetic evidence for therapeutic targets across biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics—scoring causal associations, LoF/GoF evidence, human knockouts, and safety liabilities into standardized confidence scores and target validation recommendations.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Latest commit

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

GeneticsAgent

GeneticsAgent is an AI-powered specialist that systematically evaluates the human genetic evidence supporting therapeutic targets by integrating data from biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics resources.

It identifies causal disease associations, assesses loss- and gain-of-function evidence, evaluates natural human knockouts and safety liabilities, and synthesizes genetic evidence into standardized confidence scores and actionable recommendations for target identification and validation.

What it does

  • Causal disease associations — mines biobanks and GWAS to link genes/variants to disease with directional and effect-size context.
  • Loss- and gain-of-function evidence — assesses whether reducing or increasing target activity is protective or deleterious.
  • Natural human knockouts — evaluates predicted loss-of-function (pLoF) carriers in population sequencing to gauge tolerability of target inhibition.
  • Safety liabilities — flags pleiotropy, essential-gene constraint, and adverse phenotypes associated with the target.
  • Confidence scoring — synthesizes the above into a standardized, comparable genetic-evidence score.
  • Actionable recommendations — outputs prioritized guidance for target identification and validation.

Data sources

CategoryExamples
BiobanksUK Biobank, FinnGen, All of Us
GWASGWAS Catalog, Open Targets Genetics
Rare disease cohortsClinVar, OMIM, DECIPHER
Population sequencinggnomAD (constraint, pLoF)
Functional genomicsOpen Targets Platform, expression/eQTL resources

Status

Early development. Interfaces and scoring methodology are subject to change.

License

TBD.

About

AI specialist that evaluates human genetic evidence for therapeutic targets across biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics—scoring causal associations, LoF/GoF evidence, human knockouts, and safety liabilities into standardized confidence scores and target validation recommendations.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

GeneticsAgent

GeneticsAgent is an AI-powered specialist that systematically evaluates the human genetic evidence supporting therapeutic targets by integrating data from biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics resources.

It identifies causal disease associations, assesses loss- and gain-of-function evidence, evaluates natural human knockouts and safety liabilities, and synthesizes genetic evidence into standardized confidence scores and actionable recommendations for target identification and validation.

What it does

  • Causal disease associations — mines biobanks and GWAS to link genes/variants to disease with directional and effect-size context.
  • Loss- and gain-of-function evidence — assesses whether reducing or increasing target activity is protective or deleterious.
  • Natural human knockouts — evaluates predicted loss-of-function (pLoF) carriers in population sequencing to gauge tolerability of target inhibition.
  • Safety liabilities — flags pleiotropy, essential-gene constraint, and adverse phenotypes associated with the target.
  • Confidence scoring — synthesizes the above into a standardized, comparable genetic-evidence score.
  • Actionable recommendations — outputs prioritized guidance for target identification and validation.

Data sources

CategoryExamples
BiobanksUK Biobank, FinnGen, All of Us
GWASGWAS Catalog, Open Targets Genetics
Rare disease cohortsClinVar, OMIM, DECIPHER
Population sequencinggnomAD (constraint, pLoF)
Functional genomicsOpen Targets Platform, expression/eQTL resources

Status

Early development. Interfaces and scoring methodology are subject to change.

License

TBD.

About

AI specialist that evaluates human genetic evidence for therapeutic targets across biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics—scoring causal associations, LoF/GoF evidence, human knockouts, and safety liabilities into standardized confidence scores and target validation recommendations.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

GeneticsAgent

GeneticsAgent is an AI-powered specialist that systematically evaluates the human genetic evidence supporting therapeutic targets by integrating data from biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics resources.

It identifies causal disease associations, assesses loss- and gain-of-function evidence, evaluates natural human knockouts and safety liabilities, and synthesizes genetic evidence into standardized confidence scores and actionable recommendations for target identification and validation.

What it does

  • Causal disease associations — mines biobanks and GWAS to link genes/variants to disease with directional and effect-size context.
  • Loss- and gain-of-function evidence — assesses whether reducing or increasing target activity is protective or deleterious.
  • Natural human knockouts — evaluates predicted loss-of-function (pLoF) carriers in population sequencing to gauge tolerability of target inhibition.
  • Safety liabilities — flags pleiotropy, essential-gene constraint, and adverse phenotypes associated with the target.
  • Confidence scoring — synthesizes the above into a standardized, comparable genetic-evidence score.
  • Actionable recommendations — outputs prioritized guidance for target identification and validation.

Data sources

CategoryExamples
BiobanksUK Biobank, FinnGen, All of Us
GWASGWAS Catalog, Open Targets Genetics
Rare disease cohortsClinVar, OMIM, DECIPHER
Population sequencinggnomAD (constraint, pLoF)
Functional genomicsOpen Targets Platform, expression/eQTL resources

Status

Early development. Interfaces and scoring methodology are subject to change.

License

TBD.

About

AI specialist that evaluates human genetic evidence for therapeutic targets across biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics—scoring causal associations, LoF/GoF evidence, human knockouts, and safety liabilities into standardized confidence scores and target validation recommendations.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Latest commit

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

GeneticsAgent

GeneticsAgent is an AI-powered specialist that systematically evaluates the human genetic evidence supporting therapeutic targets by integrating data from biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics resources.

It identifies causal disease associations, assesses loss- and gain-of-function evidence, evaluates natural human knockouts and safety liabilities, and synthesizes genetic evidence into standardized confidence scores and actionable recommendations for target identification and validation.

What it does

  • Causal disease associations — mines biobanks and GWAS to link genes/variants to disease with directional and effect-size context.
  • Loss- and gain-of-function evidence — assesses whether reducing or increasing target activity is protective or deleterious.
  • Natural human knockouts — evaluates predicted loss-of-function (pLoF) carriers in population sequencing to gauge tolerability of target inhibition.
  • Safety liabilities — flags pleiotropy, essential-gene constraint, and adverse phenotypes associated with the target.
  • Confidence scoring — synthesizes the above into a standardized, comparable genetic-evidence score.
  • Actionable recommendations — outputs prioritized guidance for target identification and validation.

Data sources

CategoryExamples
BiobanksUK Biobank, FinnGen, All of Us
GWASGWAS Catalog, Open Targets Genetics
Rare disease cohortsClinVar, OMIM, DECIPHER
Population sequencinggnomAD (constraint, pLoF)
Functional genomicsOpen Targets Platform, expression/eQTL resources

Status

Early development. Interfaces and scoring methodology are subject to change.

License

TBD.

About

AI specialist that evaluates human genetic evidence for therapeutic targets across biobanks, GWAS, rare disease cohorts, population sequencing, and functional genomics—scoring causal associations, LoF/GoF evidence, human knockouts, and safety liabilities into standardized confidence scores and target validation recommendations.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors