TreeWAS – [I69.4] Sequelae of stroke, not specified as haemorrhage or 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
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.920	0.080	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.872	0.128	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.868	0.132	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.840	0.160	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.833	0.167	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.831	0.169	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.830	0.170	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.796	0.204	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.794	0.206	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.791	0.209	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.749	0.251	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.743	0.257	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.739	0.261	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.684	0.316	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.683	0.317	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.677	0.323	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.670	0.330	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.665	0.335	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.659	0.341	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.648	0.352	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.619	0.381	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.614	0.386	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.589	0.410	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.579	0.421	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.578	0.422	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.567	0.433	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.532	0.468	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.532	0.468	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.515	0.485	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.500	0.500	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.494	0.506	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.489	0.511	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.488	0.512	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.483	0.517	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.477	0.523	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.472	0.528	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.472	0.528	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.455	0.545	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.453	0.547	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.434	0.566	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.429	0.571	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.429	0.571	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.424	0.576	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.414	0.586	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.403	0.596	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.388	0.612	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.387	0.613	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.362	0.638	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.361	0.639	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.361	0.639	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.359	0.641	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.355	0.645	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.349	0.650	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.653	0.347
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.338	0.662	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.337	0.663	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.334	0.666	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.326	0.674	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.304	0.696	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.276	0.723	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.273	0.727	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.269	0.731	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.268	0.732	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.261	0.739	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.255	0.745	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.252	0.748	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.252	0.748	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.234	0.766	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.232	0.768	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.231	0.768	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.223	0.776	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.217	0.783	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.211	0.788	0.001
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.207	0.793	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.205	0.795	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.205	0.795	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.199	0.801	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.197	0.803	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.188	0.812	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.185	0.815	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.182	0.818	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.179	0.821	0.000
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.177	0.823	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.171	0.829	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.171	0.829	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.159	0.840	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.150	0.850	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.148	0.851	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.144	0.855	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.143	0.857	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.139	0.860	0.001
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.138	0.862	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.135	0.864	0.001
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.134	0.866	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.133	0.866	0.001
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.124	0.876	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.122	0.878	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.121	0.878	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.114	0.886	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.112	0.888	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.108	0.892	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.105	0.895	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.104	0.895	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.093	0.907	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.092	0.907	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.092	0.908	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.092	0.908	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.082	0.918	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	0.921	0.079
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.070	0.929	0.001
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.069	0.931	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.068	0.932	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.068	0.932	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.064	0.936	0.001
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.057	0.942	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.055	0.945	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.052	0.948	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.050	0.950	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.046	0.954	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.046	0.954	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.043	0.957	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.042	0.958	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.041	0.959	0.001
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.041	0.959	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.037	0.963	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.036	0.963	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.034	0.965	0.000
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.034	0.966	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.030	0.970	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.030	0.970	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.030	0.970	0.000
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	0.971	0.029
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.026	0.974	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.025	0.975	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.024	0.976	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.024	0.976	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.023	0.977	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.022	0.978	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.021	0.978	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.021	0.979	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.020	0.980	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.019	0.980	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.018	0.982	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.017	0.983	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.016	0.983	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.015	0.984	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.016	0.984	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.015	0.984	0.000
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.015	0.985	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.014	0.985	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.014	0.986	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.014	0.986	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.014	0.986	0.000
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.014	0.986	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.014	0.986	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.989	0.011
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.010	0.990	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.010	0.990	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.010	0.990	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.010	0.990	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.010	0.990	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.008	0.992	0.000
rs2288059 lBF = `-0.0247894` Chr`16` : `76,170,096`	0.000	0.992	0.008
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	0.992	0.008
rs2288061 lBF = `-0.0301445` Chr`16` : `76,169,731`	0.000	0.993	0.007
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.000	0.993	0.007
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.007	0.993	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.007	0.993	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.001	0.994	0.006
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.006	0.994	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.006	0.994	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.006	0.994	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.995	0.005
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.005	0.995	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	0.995	0.005
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.005	0.995	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.005	0.995	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.004	0.996	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.004	0.996	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.004	0.996	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.004	0.996	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.004	0.996	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	0.996	0.004
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	0.996	0.004
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.003	0.996	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	0.997	0.003
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.003	0.997	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	0.997	0.003
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.003	0.997	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	0.997	0.003
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.003	0.997	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.002	0.997	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.002	0.998	0.001
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.002	0.998	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.002	0.998	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.000	0.998	0.002
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.002	0.998	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	0.998	0.002
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rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	1.000	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.000	1.000	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	1.000	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs17338034 lBF = `-0.0375197` Chr`16` : `51,357,482`	0.000	1.000	0.000
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	0.000	1.000	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.000	1.000	0.000
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.000	1.000	0.000
rs12922317 lBF = `0.173024` Chr`16` : `12,077,632`	0.000	1.000	0.000
rs12445568 lBF = `0.111174` Chr`16` : `31,004,812`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	1.000	0.000
rs7198849 lBF = `-0.0286209` Chr`16` : `11,373,301`	0.000	1.000	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	1.000	0.000
rs11859036 lBF = `-0.114229` Chr`16` : `80,305,551`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.000	1.000	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs12926729 lBF = `0.0441419` Chr`16` : `20,100,370`	0.000	1.000	0.000
rs11150589 lBF = `0.0240347` Chr`16` : `30,482,494`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	1.000	0.000
rs870288 lBF = `-0.0775093` Chr`16` : `5,585,852`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	1.000	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	1.000	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.000	1.000	0.000
rs8057551 lBF = `0.109268` Chr`16` : `27,434,927`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.000	1.000	0.000
rs11074782 lBF = `-0.113182` Chr`16` : `26,505,011`	0.000	1.000	0.000
rs837763 lBF = `16.2621` Chr`16` : `88,853,729`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.000	1.000	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.000	1.000	0.000
rs2531995 lBF = `-0.0915463` Chr`16` : `4,013,467`	0.000	1.000	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.000	1.000	0.000
Affx-13430005 lBF = `16.3359` Chr`16` : `88,853,729`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	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

0.9990

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3468

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0561

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

1.0000

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

1.0000

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

1.0000

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

1.0000

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9998

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9997

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9996

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9994

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9991

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9990

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9986

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9980

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9975

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9968

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9966

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9962

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9958

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9896

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9862

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9858

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9819

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9817

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9815

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9807

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9778

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9765

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9749

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9714

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9685

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9627

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9624

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9612

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9602

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9565

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9535

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9512

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9503

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9498

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9494

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9441

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9422

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9407

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9391

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9383

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9331

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9290

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9241

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9088

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.9062

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9050

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9007

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8873

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8855

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8724

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8595

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8595

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8578

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8567

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8556

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8082

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7932

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7911

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7897

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7843

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7839

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.7832

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7733

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7672

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7555

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7490

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7378

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7266

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7163

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7128

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7109

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7090

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6870

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6827

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6746

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6727

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6653

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6234

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6159

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6153

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6066

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6049

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5789

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5730

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5693

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5691

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5687

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5679

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5396

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5380

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5227

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4772

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4498

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4484

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4468

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4425

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.4398

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4318

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4127

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4085

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4067

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4004

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3880

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3380

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3356

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3238

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3098

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3085

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3034

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3006

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2884

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2738

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2537

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2367

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2361

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2341

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2274

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1947

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1852

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1812

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1753

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1743

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1574

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1426

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1414

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1391

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1054

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0961

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0949

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0824

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0801

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0739

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0732

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0725

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0701

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0614

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0598

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0581

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0574

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0570

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0552

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`)