TreeWAS – [I63.3] Cerebral infarction due to thrombosis of cerebral arteries

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
rs225694 lBF = `2.72343` Chr`6` : `142,527,142`	0.963	0.037	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.960	0.040	0.000
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.959	0.041	0.000
rs225717 lBF = `2.52164` Chr`6` : `142,548,099`	0.955	0.045	0.000
rs9268832 lBF = `268.042` Chr`6` : `32,427,789`	0.945	0.055	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.062	0.938
rs2074633 lBF = `21.593` Chr`7` : `19,035,920`	0.938	0.062	0.000
rs7904547 lBF = `10.7015` Chr`10` : `23,340,868`	0.000	0.062	0.938
rs75021220 lBF = `47.1082` Chr`4` : `111,658,394`	0.937	0.063	0.000
rs591166 lBF = `2.16446` Chr`18` : `57,841,589`	0.000	0.064	0.936
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.931	0.069	0.000
rs13141190 lBF = `36.6768` Chr`4` : `111,728,614`	0.931	0.069	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.923	0.077	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.919	0.081	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.918	0.082	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.917	0.083	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.915	0.085	0.000
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.915	0.085	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.912	0.088	0.000
rs7798197 lBF = `15.7025` Chr`7` : `19,037,661`	0.912	0.088	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.912	0.088	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.910	0.090	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.910	0.090	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.910	0.090	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.909	0.091	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.908	0.092	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.906	0.094	0.000
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.906	0.094	0.000
rs57301765 lBF = `28.5048` Chr`7` : `19,052,733`	0.903	0.097	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.903	0.097	0.000
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.902	0.098	0.000
rs2107595 lBF = `32.9202` Chr`7` : `19,049,388`	0.901	0.099	0.000
rs17229494 lBF = `5.20366` Chr`21` : `38,928,100`	0.901	0.099	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.901	0.099	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.900	0.100	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.898	0.102	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.898	0.102	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.897	0.103	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.896	0.104	0.000
rs2331841 lBF = `1.76608` Chr`18` : `57,828,637`	0.000	0.104	0.896
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.895	0.105	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.894	0.106	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.894	0.106	0.000
rs3130985 lBF = `317.236` Chr`6` : `31,085,356`	0.894	0.106	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.893	0.107	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.892	0.108	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.892	0.108	0.000
rs1811197 lBF = `124.907` Chr`6` : `31,327,660`	0.892	0.108	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.889	0.111	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.888	0.112	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.888	0.112	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.884	0.116	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.883	0.117	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.882	0.118	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.882	0.118	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.880	0.120	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.880	0.120	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.880	0.120	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.879	0.121	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.877	0.123	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.877	0.123	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.875	0.125	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.875	0.125	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.875	0.125	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.875	0.125	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.874	0.126	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.872	0.128	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.871	0.129	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.871	0.129	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.871	0.129	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.871	0.129	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.871	0.129	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.870	0.130	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.869	0.131	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.868	0.132	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.867	0.133	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.867	0.133	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.865	0.135	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.865	0.135	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.865	0.135	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.864	0.135	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.864	0.136	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.864	0.136	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.863	0.137	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.863	0.137	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.862	0.138	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.862	0.138	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.861	0.139	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.861	0.139	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.861	0.139	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.860	0.140	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.859	0.141	0.000
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	0.858	0.142	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.858	0.142	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.857	0.143	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.854	0.146	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.853	0.147	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.852	0.148	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.851	0.149	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.851	0.149	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.850	0.150	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.848	0.152	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.846	0.154	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.846	0.154	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.845	0.155	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.845	0.155	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.844	0.156	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.843	0.157	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.843	0.157	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.842	0.157	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.842	0.158	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.841	0.158	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.840	0.160	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.840	0.160	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.839	0.161	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.837	0.163	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.836	0.163	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.836	0.164	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.836	0.164	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.835	0.165	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.834	0.166	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.833	0.167	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.833	0.167	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.832	0.168	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.831	0.169	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.831	0.169	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.831	0.169	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.830	0.170	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.830	0.170	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.829	0.171	0.000
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.829	0.171	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.825	0.175	0.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.823	0.177	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.822	0.177	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.821	0.179	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.821	0.179	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.819	0.181	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.819	0.181	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	0.818	0.182	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.818	0.182	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.816	0.184	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.815	0.185	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.812	0.188	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	0.812	0.188	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.812	0.188	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.810	0.190	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.809	0.191	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.809	0.191	0.000
rs204994 lBF = `75.1027` Chr`6` : `32,154,998`	0.808	0.192	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.807	0.193	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.806	0.194	0.000
rs3129943 lBF = `105.956` Chr`6` : `32,338,695`	0.805	0.195	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.803	0.197	0.000
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.802	0.198	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.800	0.200	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.800	0.200	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	0.800	0.200	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.800	0.200	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	0.201	0.799
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.798	0.202	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.798	0.202	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.798	0.202	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.797	0.203	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.795	0.205	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.795	0.205	0.000
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.795	0.205	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.794	0.206	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.791	0.209	0.000
rs1228075 lBF = `5.39429` Chr`2` : `146,608,872`	0.791	0.209	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.789	0.211	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.788	0.212	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.787	0.213	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.786	0.214	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.785	0.215	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.785	0.215	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.215	0.785
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.785	0.215	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.784	0.216	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.783	0.217	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.783	0.217	0.000
rs3129942 lBF = `107.994` Chr`6` : `32,338,283`	0.781	0.219	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.781	0.219	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.780	0.220	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.780	0.220	0.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	0.780	0.220	0.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.780	0.220	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.779	0.221	0.000
rs2227139 lBF = `262.066` Chr`6` : `32,413,459`	0.779	0.221	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.779	0.221	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.777	0.223	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.776	0.224	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.776	0.224	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.774	0.226	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.774	0.226	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.774	0.226	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.772	0.228	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.772	0.228	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.772	0.228	0.000
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.771	0.229	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.770	0.230	0.000
rs853676 lBF = `134.782` Chr`6` : `28,299,687`	0.770	0.230	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.768	0.232	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.767	0.233	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.767	0.233	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.766	0.233	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.766	0.234	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.765	0.235	0.000
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rs2856816 lBF = `93.5635` Chr`6` : `33,045,500`	0.671	0.329	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.671	0.329	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.671	0.329	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.671	0.329	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.671	0.329	0.000
rs1264352 lBF = `100.387` Chr`6` : `30,789,647`	0.670	0.330	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.670	0.330	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.670	0.330	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.670	0.330	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.670	0.330	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.669	0.331	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.669	0.331	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.669	0.331	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.669	0.331	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.668	0.332	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.668	0.332	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.668	0.332	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.668	0.332	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.666	0.334	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.666	0.334	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.665	0.335	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.665	0.335	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.665	0.335	0.000
Affx-28513472 lBF = `130.257` Chr`6` : `33,053,577`	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
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.664	0.336	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	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
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.662	0.338	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.662	0.338	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.661	0.339	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.660	0.340	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.659	0.340	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.659	0.341	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.659	0.341	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.659	0.341	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.659	0.341	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.658	0.341	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.658	0.342	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.658	0.342	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.658	0.342	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.658	0.342	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.657	0.343	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.657	0.343	0.000
rs145669774 lBF = `5.67804` Chr`3` : `185,545,502`	0.656	0.344	0.000
rs9461832 lBF = `129.551` Chr`6` : `33,056,384`	0.655	0.345	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.655	0.345	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.655	0.345	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.654	0.346	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.654	0.346	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.654	0.346	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.654	0.346	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.653	0.347	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.653	0.347	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.653	0.347	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.653	0.347	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.652	0.348	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.652	0.348	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.651	0.348	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.651	0.349	0.000
rs3740393 lBF = `3.17247` Chr`10` : `104,636,655`	0.000	0.350	0.650
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.649	0.351	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.649	0.351	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.649	0.351	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.649	0.351	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.649	0.351	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.648	0.352	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.648	0.352	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.648	0.352	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.647	0.352	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.647	0.353	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.647	0.353	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.647	0.353	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.646	0.353	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.646	0.354	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	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
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.646	0.354	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.646	0.354	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.645	0.355	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.645	0.355	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.645	0.355	0.000
rs61772626 lBF = `10.1601` Chr`1` : `57,015,668`	0.645	0.355	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.645	0.355	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.645	0.355	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.645	0.355	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.644	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

0.4001

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2113

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1412

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9947

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9940

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9929

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9924

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9873

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9869

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9844

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9803

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9747

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9711

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9694

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9572

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9554

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9531

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9530

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9514

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9502

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9476

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9413

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9408

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9379

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9363

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9313

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9305

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9286

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9230

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9211

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9182

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.9152

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9137

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9133

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9080

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9052

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8992

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8889

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8871

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8799

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8732

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8688

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8685

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8669

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8591

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8585

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8573

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8551

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8544

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8397

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8373

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8289

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.8258

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8248

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8233

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8197

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8174

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8168

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8123

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7974

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7896

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7892

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.7882

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7834

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7799

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7792

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7731

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7711

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7645

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7584

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7559

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7367

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7308

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7296

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7289

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7279

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7149

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7107

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7074

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6995

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6933

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6765

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6676

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6580

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6559

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6494

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6484

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6388

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6323

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6297

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6269

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6217

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6079

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5940

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.5930

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5893

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5802

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5495

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5337

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5191

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5182

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5157

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5152

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5149

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5097

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5055

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5010

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4946

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4762

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4700

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4596

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4566

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4506

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4464

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4413

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4355

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4224

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3915

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3875

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3800

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3780

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3665

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3620

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3391

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3388

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3263

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3168

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2926

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2872

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2740

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2738

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2696

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2591

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2509

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2379

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2361

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2312

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2308

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.2162

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2131

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2124

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2097

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2058

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2054

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1898

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1747

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1742

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1693

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1669

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1562

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1534

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1501

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1461

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1460

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1382

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1373

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1318

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1181

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1138

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1092

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1008

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0993

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0953

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0636

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0619

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0564

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`)