Author post: qqman: an R package for visualizing GWAS results using Q-Q and manhattan plots
This guest post is by Stephen Turner on his preprint qqman: an R package for visualizing GWAS results using Q-Q and manhattan plots, available on bioRxiv here. This is a modified version of a post from his blog. Three years ago I wrote a blog post on how to create manhattan plots in R. After hundreds of comments pointing out bugs and other issues, I've finally cleaned up this code and turned it in
ç†ç ”ã€è¡€å°æ¿ã®æ•°ã‚„大ãã•ã«å€‹äººå·®ãŒã‚ã‚‹ç†ç”±ã‚’ゲノム解æžã«ã‚ˆã‚Šè§£æ˜Ž
ç†åŒ–å¦ç ”究所(ç†ç ”)ã®ç ”究グループã¯ã€è¡€çƒæˆåˆ†ã®å€‹äººå·®ã«é–¢é€£ã™ã‚‹éºä¼çš„背景ã®è§£æ˜Žã‚’目的ã¨ã—ãŸå›½éš›å…±åŒãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã€Œãƒ˜ãƒ ジェン コンソーシアム(HameGen consortium)ã€ã«å‚åŠ ã—ã€è¡€å°æ¿ã®æ•°ã‚„大ãã•ã«é–¢ã‚ã‚‹68個ã®éºä¼åを発見ã—ãŸã“ã¨ã‚’発表ã—ãŸã€‚åŒã‚³ãƒ³ã‚½ãƒ¼ã‚·ã‚¢ãƒ ã«ã¯ã€ä¸–ç•Œä¸ã«å˜åœ¨ã™ã‚‹36ã®ã‚²ãƒŽãƒ ç ”ç©¶æ–½è¨ãŒå‚åŠ ã—ã€æ—¥æœ¬äººé›†å›£ã‚’対象ã¨ã—ãŸç ”究ã¯ã€ç†ç ”ゲノム医科å¦ç ”究センター 統計解æžç ”究ãƒãƒ¼ãƒ ã®é«˜æ©‹ç¯¤ãƒãƒ¼ãƒ リーダーã€å²¡ç”°éšè±¡å®¢å“¡ç ”究員ãŒæ‹…当ã—ã¦ç™ºè¦‹ã—ãŸæˆæžœã§ã‚る。ã“ã®æˆæžœã¯ã€è‹±å›½ã®ç§‘å¦é›‘誌「Natureã€(オンライン版)ã«ã¦å…¬é–‹ã•ã‚ŒãŸã€‚ è¡€å°æ¿ã¯ã€èµ¤è¡€çƒã€ç™½è¡€çƒã¨ã¨ã‚‚ã«è¡€æ¶²ä¸ã®ç´°èƒžæˆåˆ†ã®1ã¤ã§ã€è¡€ç®¡ãŒæå‚·ã—ãŸæ™‚ã«é›†åˆã—ã¦ã€ãã®å‚·å£ã‚’ãµã•ã役割を担ã£ã¦ã„ã‚‹(è¡€å°æ¿å‡é›†)ã®ã¨åŒæ™‚ã«ã€è¡€æ¶²ã‚’å‡å›ºã•ã›ã‚‹æˆåˆ†ã‚’放出ã—ã€å‡ºè¡€ã‚’æ¢ã‚る役割も担ã£ã¦ã„ã‚‹(å‡å›º)。 è¡€å°æ¿ã®æ•°ã‚„大ãã•ã¨ã„ã£ãŸæ¸¬å®šå€¤ã¯
ã¯ã¦ãªãƒ–ãƒã‚° | 無料ブãƒã‚°ã‚’作æˆã—よã†
2024å¹´å¤ ã‹ã°ã‚“ã®ä¸èº«è¨˜éŒ² ã¿ã‚“ãªå¤§å¥½ãã‹ã°ã‚“ã®ä¸èº«ã€‚ 当然ç§ã‚‚大好ãã§ã€äººæ§˜ã®ãƒ–ãƒã‚°è¨˜äº‹ã‚„SNS投稿を飽ãã‚‚ã›ãšèªã¿è¾¼ã¿ã¾ãã£ã¦ã„ã¾ã™ã€‚ãªãœã“ã‚“ãªã«ã‚‚見飽ããªã„ã®ã‹â€¦ 自分も以å‰åŒã˜ã‚ˆã†ã«ã‹ã°ã‚“ã®ä¸èº«ã®è¨˜äº‹ã‚’書ã„ãŸã‚“ã§ã™ãŒã€æ°—ã¥ã‘ã°ã‚‚ã†ï¼“å¹´å‰ï¼åŽ»å¹´ãらã„ã®æ°—分ã ã£ãŸã€æœˆæ—¥ãŒãŸã¤ã®â€¦
NBA::GWAS Further Readings - æ°—ã®å‘ãã¾ã¾ã«
# 9/20 å°‘ã—è¿½åŠ # 9/1 当日ã®ã‚¹ãƒ©ã‚¤ãƒ‰ã‚’エントリ最後ã«è¿½åŠ ã—ã¾ã—㟠疾患ã®ç ”究論文をèªã¿æ¼ã£ãŸã®ã§ã€ã¤ã„ã§ã«ãƒ–ãƒã‚°ã«æ®‹ã—ã¦ã¿ã‚‹ã€‚ 対象ã¨ã—ãŸã®ã¯ã€GWAS (全ゲノム相関解æž)ã€Missing Heritability (GWAS ã§ã¤ã‹ã‚ãªã‹ã£ãŸéºä¼å¯„与 = Missing heritability) ãŒä¸å¿ƒã€‚ Rare variants 㯠Genomic disorders を確立ã—ãŸã‘ã‚Œã©ã‚‚ã€å¤šå› å疾患ã§ã¯ã©ã†ãªã‚‹ã®ã‹? 今ã€ç–¾æ‚£ç ”究㯠GWAS 㨠CNV ãŒæœŸå¾…通りã«ã„ã‹ãªã‹ã£ãŸã¨ã„ã†ã‚¿ãƒ¼ãƒ‹ãƒ³ã‚°ãƒã‚¤ãƒ³ãƒˆã‚’回ã£ã¦ã€aCGH/SNP array ãŒç¯‰ã上ã’㟠Rare variants ãŒæœŸå¾…ã®ãƒãƒˆãƒ³ã‚’æ¡ã£ãŸã¨ã“ã‚ã‹ã€‚ ã“ã‚Œã«åŠ ã‚ã‚‹ã¨æœŸå¾…ã•ã‚Œã‚‹ã®ãŒæ¬¡ä¸–代シーケンサーã«ã‚ˆã‚‹ Rare variants ã®ç™ºè¦‹ã€‚ GWAS-identified locus ã® deep s
LocusZoom - Create Plots of Genetic Data
We will be running operating system upgrades for the server that powers many of our data APIs (portaldev.sph.umich.edu). We have scheduled some downtime to install it next Friday Nov 13 @ 5:30PM (eastern US time). If you use interactive LocusZoom.js plots, you may notice either downtime or partial errors during this window, as many installations use our shared infrastructure for information like r
23andMe Blog
Stay in the know.Receive the latest from your DNA community.
Sanger Team Analyses Suggest Synthetic Associations Not Behind Most Common Disease GWAS Signals
Sanger Team Analyses Suggest Synthetic Associations Not Behind Most Common Disease GWAS Signals By Andrea Anderson COLD SPRING HARBOR, NY (GenomeWeb News) – Synthetic associations between rare, disease-causing variants and common variants probably explain relatively few of the signals detected in genome-wide association studies of common disease, according to Wellcome Trust Sanger Institute human
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
Annotated Manhattan plots and QQ plots for GWAS using R, Revisited
Alternate color manhattan plot
GWAS Central - Home Page
WikiGenes - Principles for the post-GWAS functional characterisation of risk loci
Site not found
GAME-ON & OncoArray | EGRP/DCCPS/NCI/NIH01142-6)
Select: GWAS Gets Functional
Longevity debate: Chips to blame? - The Scientist - Magazine of the Life Sciences
Authors of Controversial Longevity Study Discuss the Furor - ScienceInsider
Serious flaws revealed in "longevity genes" study : Genetic Future
Using Expression Data to Mine the "Gray Zone" of GWAS
Site Search | GenomeWeb
https://academic.oup.com/bioinformatics/redirect-unavailable?url=bioinformatics.oxfordjournals.org/cgi/content/abstract/btp713v1
{{#tags}}- {{label}}
{{/tags}}