TreeWAS – [I63.8] Other cerebral infarction

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.958	0.042	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.952	0.048	0.000
rs5744680 lBF = `6.97231` Chr`5` : `74,879,890`	0.000	0.049	0.951
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.951	0.049	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.951	0.049	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.945	0.055	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.945	0.055	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.944	0.056	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.942	0.058	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.942	0.058	0.000
rs11748027 lBF = `6.92606` Chr`5` : `74,909,972`	0.000	0.062	0.938
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.937	0.063	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.937	0.063	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.933	0.067	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.932	0.068	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.932	0.068	0.000
rs3846662 lBF = `8.07221` Chr`5` : `74,651,084`	0.000	0.069	0.931
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.930	0.070	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.930	0.070	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.930	0.070	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.930	0.070	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.929	0.071	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.926	0.074	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.926	0.074	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.924	0.076	0.000
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.922	0.078	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.922	0.078	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.921	0.079	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.919	0.081	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.918	0.082	0.000
Affx-28513472 lBF = `130.257` Chr`6` : `33,053,577`	0.916	0.084	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.916	0.084	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.916	0.084	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	0.914	0.086	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.914	0.086	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.913	0.087	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.912	0.088	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.912	0.088	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.911	0.089	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.911	0.089	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.909	0.091	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.908	0.092	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.908	0.092	0.000
rs3093988 lBF = `129.906` Chr`6` : `31,492,453`	0.907	0.093	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.907	0.093	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.904	0.096	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.904	0.096	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.904	0.096	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.903	0.097	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.902	0.098	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.901	0.099	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.901	0.099	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.900	0.100	0.000
rs9461832 lBF = `129.551` Chr`6` : `33,056,384`	0.900	0.100	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.900	0.100	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.898	0.102	0.000
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.898	0.102	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.895	0.105	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	0.895	0.105	0.000
rs2233974 lBF = `113.942` Chr`6` : `31,080,016`	0.894	0.106	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.894	0.106	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.107	0.893
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.891	0.109	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.890	0.110	0.000
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.887	0.113	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.886	0.114	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.884	0.116	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.884	0.116	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.883	0.117	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.883	0.117	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.883	0.117	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.882	0.118	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.882	0.118	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.880	0.120	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.879	0.121	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.878	0.122	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.877	0.123	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.877	0.123	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.877	0.123	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.876	0.124	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.876	0.124	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.876	0.124	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.874	0.126	0.000
rs35211576 lBF = `16.5907` Chr`6` : `127,116,727`	0.871	0.129	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.871	0.129	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.871	0.129	0.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.870	0.130	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.870	0.130	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.869	0.131	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.869	0.131	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.868	0.132	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.868	0.132	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.867	0.133	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.866	0.134	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.866	0.134	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.866	0.134	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.866	0.134	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.865	0.135	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.865	0.135	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.864	0.136	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.864	0.136	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.864	0.136	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.864	0.136	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.863	0.137	0.000
rs225717 lBF = `2.52164` Chr`6` : `142,548,099`	0.863	0.137	0.000
rs225694 lBF = `2.72343` Chr`6` : `142,527,142`	0.863	0.137	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.861	0.139	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.860	0.140	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.859	0.141	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.859	0.141	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.859	0.141	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.858	0.142	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.858	0.142	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.858	0.142	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.857	0.143	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.856	0.144	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.856	0.144	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.855	0.145	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.854	0.146	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.854	0.146	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.854	0.146	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.854	0.146	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.853	0.147	0.000
rs3130781 lBF = `228.518` Chr`6` : `30,914,552`	0.852	0.148	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.850	0.150	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.850	0.150	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.849	0.151	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.847	0.153	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.847	0.153	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.844	0.156	0.000
rs13141190 lBF = `36.6768` Chr`4` : `111,728,614`	0.843	0.157	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.843	0.157	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.842	0.158	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.840	0.160	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.840	0.160	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.839	0.161	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.839	0.161	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.837	0.163	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.836	0.164	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.835	0.165	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.833	0.166	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.833	0.167	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.831	0.169	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.830	0.170	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.829	0.171	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.828	0.172	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.828	0.172	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	0.172	0.828
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.826	0.174	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.825	0.175	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.824	0.176	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.824	0.176	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.824	0.176	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.822	0.178	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.822	0.178	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.822	0.178	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.821	0.179	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.820	0.180	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.818	0.182	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.818	0.182	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.818	0.182	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.818	0.182	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.818	0.182	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.817	0.183	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.185	0.815
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.814	0.186	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.813	0.187	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.188	0.812
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.811	0.189	0.000
rs11965763 lBF = `126.728` Chr`6` : `33,076,682`	0.810	0.190	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.809	0.191	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.804	0.196	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.804	0.196	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.803	0.197	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.802	0.198	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.801	0.199	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.799	0.201	0.000
rs3129943 lBF = `105.956` Chr`6` : `32,338,695`	0.799	0.201	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.799	0.201	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.799	0.201	0.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	0.798	0.202	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.798	0.202	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.797	0.203	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.797	0.203	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.796	0.204	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.796	0.204	0.000
rs6911848 lBF = `125.052` Chr`6` : `33,075,259`	0.795	0.205	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.794	0.206	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.794	0.206	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.793	0.207	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.792	0.207	0.000
rs75021220 lBF = `47.1082` Chr`4` : `111,658,394`	0.792	0.208	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.791	0.208	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.791	0.209	0.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.791	0.209	0.000
rs3131643 lBF = `317.366` Chr`6` : `31,442,782`	0.791	0.209	0.000
rs2856816 lBF = `93.5635` Chr`6` : `33,045,500`	0.787	0.213	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.786	0.214	0.000
rs11984041 lBF = `12.4243` Chr`7` : `19,031,935`	0.784	0.216	0.000
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.784	0.216	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.783	0.217	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.782	0.218	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.780	0.220	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.780	0.220	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.777	0.223	0.000
rs9268832 lBF = `268.042` Chr`6` : `32,427,789`	0.776	0.224	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.776	0.224	0.000
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rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.673	0.327	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.672	0.328	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.671	0.329	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.670	0.330	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.670	0.330	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.669	0.331	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.669	0.331	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.669	0.331	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.669	0.331	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.669	0.331	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.668	0.332	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.668	0.332	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.668	0.332	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.668	0.332	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.668	0.332	0.000
rs2074633 lBF = `21.593` Chr`7` : `19,035,920`	0.667	0.333	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.666	0.333	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.666	0.334	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.666	0.334	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.666	0.334	0.000
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.665	0.335	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.665	0.335	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.665	0.335	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.664	0.336	0.000
rs57301765 lBF = `28.5048` Chr`7` : `19,052,733`	0.664	0.336	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.663	0.336	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.663	0.337	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.663	0.337	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.663	0.337	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.663	0.337	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.663	0.337	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.662	0.337	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.662	0.338	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.662	0.338	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.662	0.338	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.662	0.338	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.661	0.339	0.000
rs3132579 lBF = `79.6756` Chr`6` : `30,940,989`	0.661	0.339	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.660	0.339	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.660	0.340	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.660	0.340	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.659	0.341	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.659	0.341	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.659	0.341	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.659	0.341	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.658	0.341	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.658	0.342	0.000
rs12654264 lBF = `8.31383` Chr`5` : `74,648,603`	0.000	0.342	0.658
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.657	0.343	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.657	0.343	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.657	0.343	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.656	0.344	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.656	0.344	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.656	0.344	0.000
rs145669774 lBF = `5.67804` Chr`3` : `185,545,502`	0.656	0.344	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.656	0.344	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.656	0.344	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.656	0.344	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.656	0.344	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.655	0.344	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.655	0.345	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.655	0.345	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.655	0.345	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.655	0.345	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.655	0.345	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.655	0.345	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.654	0.346	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.654	0.346	0.000
rs10045497 lBF = `8.22738` Chr`5` : `74,636,484`	0.000	0.346	0.654
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.652	0.347	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.652	0.348	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.652	0.348	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.651	0.349	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.651	0.349	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.650	0.350	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.650	0.350	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.650	0.350	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.648	0.352	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.648	0.352	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.648	0.352	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.647	0.353	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.647	0.353	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.647	0.353	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.647	0.353	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.646	0.354	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.646	0.354	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.646	0.354	0.000
rs17671591 lBF = `11.0442` Chr`5` : `74,615,021`	0.000	0.354	0.646
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.645	0.355	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.645	0.355	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0292

log Bayes Factor = 11.0442

contains 1 variants

0.6459

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2398

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0798

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9921

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9917

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9878

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9854

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9852

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9795

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9748

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9719

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9714

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9677

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9592

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9539

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9529

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9520

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9475

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9445

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9436

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9434

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9360

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9308

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9232

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9190

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9080

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9044

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8996

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8995

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8979

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8871

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8776

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8770

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8766

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8761

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8759

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8754

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8746

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8673

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8657

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8649

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8626

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8598

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8575

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8549

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8398

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8300

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8242

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8210

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8141

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8058

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8052

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8022

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7902

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7901

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7852

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7698

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7693

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7657

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7650

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7596

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7591

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7447

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7364

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7340

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7324

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7192

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7160

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6949

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6908

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6841

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.6775

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6764

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6732

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6536

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6525

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6507

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6351

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6345

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6334

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6316

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6263

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6175

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.6130

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6124

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6013

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5911

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5718

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5705

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5639

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5224

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5183

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5124

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5122

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5000

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4973

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4943

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4733

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4703

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4675

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4669

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4583

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4433

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4419

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.4372

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4364

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4305

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4115

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4082

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4011

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3937

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3923

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3912

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3906

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3881

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3844

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3744

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3640

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3477

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3473

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3333

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3305

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2957

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2948

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2934

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2916

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2907

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2683

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2426

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2333

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2212

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2211

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2157

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2039

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2013

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1970

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1949

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1885

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1851

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1811

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1786

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1736

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1696

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1695

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1689

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1642

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1636

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1599

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1579

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1459

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1448

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1428

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1390

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1286

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1092

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1074

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1033

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1032

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0807

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0773

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0663

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0557

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.0515

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)