TreeWAS – [Z82.3] Family history of stroke

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
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.739	0.261	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.737	0.263	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.717	0.283	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.708	0.292	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.701	0.299	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.641	0.359	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.629	0.371	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.600	0.400	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.596	0.404	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.586	0.414	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.434	0.566
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.562	0.438	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.557	0.442	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.557	0.443	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.523	0.476	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.519	0.481	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.503	0.497	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.491	0.509	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.476	0.524	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.468	0.532	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.459	0.541	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.449	0.551	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.436	0.564	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.429	0.570	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.426	0.574	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.413	0.587	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.411	0.589	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.408	0.592	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.394	0.606	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.388	0.612	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.387	0.613	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.367	0.633	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.353	0.647	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.353	0.647	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.350	0.650	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.329	0.671	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.325	0.675	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.312	0.687	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.309	0.691	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.304	0.696	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.295	0.705	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.292	0.708	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.276	0.724	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.270	0.730	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.265	0.734	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.264	0.736	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.251	0.749	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.249	0.750	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.244	0.756	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.234	0.766	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.233	0.767	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.223	0.777	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.201	0.799	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.194	0.805	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.184	0.816	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.181	0.819	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.178	0.822	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.170	0.830	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.161	0.839	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.136	0.863	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.136	0.864	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.122	0.878	0.001
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.121	0.879	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.120	0.880	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.120	0.880	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.118	0.882	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.115	0.885	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.105	0.895	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.105	0.895	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.097	0.903	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.091	0.909	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.090	0.910	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.087	0.913	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.086	0.913	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.082	0.917	0.001
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.924	0.076
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.074	0.926	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.071	0.929	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.065	0.935	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.057	0.943	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.040	0.960	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.040	0.960	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.036	0.964	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.034	0.966	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.032	0.967	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.032	0.968	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.028	0.972	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.024	0.976	0.001
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.024	0.976	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.022	0.978	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.021	0.978	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.021	0.979	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.019	0.980	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.019	0.981	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.016	0.984	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.016	0.984	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.015	0.985	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.014	0.986	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.013	0.986	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.012	0.988	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.010	0.990	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.991	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.009	0.991	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.009	0.991	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.992	0.008
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.007	0.992	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.007	0.993	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.007	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.007	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.007	0.993	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.006	0.993	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.000	0.994	0.006
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.006	0.994	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.006	0.994	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	0.995	0.005
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.000	0.996	0.004
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.004	0.996	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.004	0.996	0.000
rs10429371 lBF = `1.16029` Chr`8` : `89,993,488`	0.004	0.996	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.996	0.000
rs7814403 lBF = `0.775744` Chr`8` : `36,459,454`	0.004	0.996	0.000
rs4072286 lBF = `-0.0969006` Chr`8` : `142,736,531`	0.000	0.996	0.004
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.996	0.000
rs13254738 lBF = `-0.0366046` Chr`8` : `128,104,343`	0.004	0.996	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.997	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs9792269 lBF = `-0.0139359` Chr`8` : `129,264,589`	0.000	0.997	0.003
rs7006687 lBF = `-0.0965045` Chr`8` : `18,233,582`	0.003	0.997	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.003	0.997	0.000
rs17739794 lBF = `-0.0209347` Chr`8` : `812,946`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.003	0.997	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.003	0.997	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.997	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.002	0.998	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.000	0.998	0.002
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.002	0.998	0.000
rs6472866 lBF = `0.248813` Chr`8` : `75,513,134`	0.002	0.998	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs2294015 lBF = `-0.0667375` Chr`8` : `124,696,867`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	0.998	0.002
rs517811 lBF = `-0.0666965` Chr`8` : `102,944,863`	0.002	0.998	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	0.998	0.002
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs1351356 lBF = `-0.0226904` Chr`8` : `118,600,122`	0.002	0.998	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.002	0.998	0.000
rs7815788 lBF = `-0.0302359` Chr`8` : `57,179,020`	0.000	0.998	0.002
rs1387221 lBF = `-0.0694636` Chr`8` : `59,601,557`	0.000	0.998	0.002
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.001	0.998	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	0.998	0.002
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.002	0.998	0.000
rs10503733 lBF = `0.94679` Chr`8` : `23,534,018`	0.000	0.998	0.002
rs10097215 lBF = `-0.0245582` Chr`8` : `2,506,899`	0.000	0.998	0.002
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.001	0.999	0.000
rs10957125 lBF = `-0.0793354` Chr`8` : `61,194,170`	0.000	0.999	0.001
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.001	0.999	0.000
rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	0.000	0.999	0.001
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.001	0.999	0.000
rs7815909 lBF = `-0.0384843` Chr`8` : `57,200,362`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	0.999	0.001
rs2616984 lBF = `0.220998` Chr`8` : `4,483,141`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.001	0.999	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.001	0.999	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	0.999	0.001
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.001	0.999	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.000	0.999	0.001
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.000	0.999	0.001
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	0.999	0.001
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.000
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
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rs2407103 lBF = `-0.00622844` Chr`8` : `36,951,914`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	1.000	0.000
rs73660619 lBF = `-0.042229` Chr`8` : `3,088,173`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs11786541 lBF = `3.50621` Chr`8` : `9,789,549`	0.000	1.000	0.000
rs4735738 lBF = `0.0576628` Chr`8` : `77,611,625`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs75545078 lBF = `0.0217198` Chr`8` : `122,950,878`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	1.000	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	1.000	0.000
rs11166629 lBF = `-0.0444364` Chr`8` : `135,636,964`	0.000	1.000	0.000
rs7017212 lBF = `-0.0777989` Chr`8` : `10,022,938`	0.000	1.000	0.000
rs1529316 lBF = `-0.0972332` Chr`8` : `3,828,138`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs298182 lBF = `0.432076` Chr`8` : `65,303,535`	0.000	1.000	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	1.000	0.000
rs7827290 lBF = `0.0731665` Chr`8` : `142,300,315`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs6981992 lBF = `-0.0112274` Chr`8` : `66,463,478`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs881301 lBF = `-0.0216293` Chr`8` : `38,332,318`	0.000	1.000	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	1.000	0.000
rs1036821 lBF = `-0.0350258` Chr`8` : `135,650,483`	0.000	1.000	0.000
rs1523643 lBF = `-0.0580598` Chr`8` : `16,789,235`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.000	1.000	0.000
rs1495743 lBF = `1.21496` Chr`8` : `18,273,300`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs10097669 lBF = `0.53036` Chr`8` : `4,437,465`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.000	1.000	0.000
rs4876199 lBF = `0.0206282` Chr`8` : `2,176,910`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	1.000	0.000
rs2129782 lBF = `-0.0095127` Chr`8` : `89,459,234`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	1.000	0.000
rs2251301 lBF = `-0.0460862` Chr`8` : `11,119,037`	0.000	1.000	0.000
rs10095849 lBF = `-0.0514005` Chr`8` : `39,408,586`	0.000	1.000	0.000
rs4527850 lBF = `-0.0922114` Chr`8` : `134,196,849`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs2898261 lBF = `1.10657` Chr`8` : `10,958,539`	0.000	1.000	0.000
rs10086568 lBF = `0.258841` Chr`8` : `6,900,336`	0.000	1.000	0.000
rs7830933 lBF = `0.0906278` Chr`8` : `23,603,324`	0.000	1.000	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.000	1.000	0.000
rs6982250 lBF = `-0.0570396` Chr`8` : `70,412,450`	0.000	1.000	0.000
rs6469656 lBF = `-0.0614109` Chr`8` : `117,647,788`	0.000	1.000	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.000	1.000	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	1.000	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.000	1.000	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.000	1.000	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.000	1.000	0.000
rs16868941 lBF = `0.561921` Chr`8` : `103,052,377`	0.000	1.000	0.000
rs7839059 lBF = `0.472635` Chr`8` : `119,976,542`	0.000	1.000	0.000
rs12549902 lBF = `0.251383` Chr`8` : `41,509,259`	0.000	1.000	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	1.000	0.000
rs7825175 lBF = `0.161327` Chr`8` : `32,416,274`	0.000	1.000	0.000
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	1.000	0.000
rs16887244 lBF = `0.0893133` Chr`8` : `38,031,345`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs4590408 lBF = `0.0164474` Chr`8` : `96,106,037`	0.000	1.000	0.000
rs7011192 lBF = `0.0144292` Chr`8` : `10,535,377`	0.000	1.000	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	1.000	0.000
rs17349258 lBF = `0.00084495` Chr`8` : `4,841,024`	0.000	1.000	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs189798 lBF = `-0.0122038` Chr`8` : `8,990,577`	0.000	1.000	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.000	1.000	0.000
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	1.000	0.000
rs279612 lBF = `-0.0391292` Chr`8` : `122,706,291`	0.000	1.000	0.000
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.000	1.000	0.000
rs12155789 lBF = `-0.0968561` Chr`8` : `22,643,707`	0.000	1.000	0.000
rs13281291 lBF = `21.3475` Chr`8` : `25,699,664`	0.000	1.000	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.000	1.000	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs2162460 lBF = `5.78382` Chr`8` : `59,331,781`	0.000	1.000	0.000
rs2437772 lBF = `1.06798` Chr`8` : `97,512,977`	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 X0199

log Bayes Factor = 350.038

contains 3 variants

0.7165

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3883

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1993

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1514

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9780

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9772

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9632

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9547

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9322

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9209

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9207

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9186

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9150

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9118

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8728

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8488

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8016

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7715

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7687

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7582

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7573

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7427

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7387

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.7292

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6983

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6525

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6513

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6491

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6465

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6214

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5839

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5382

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4991

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4958

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4897

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4888

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4841

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4824

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4804

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4800

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4753

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4672

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4672

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4549

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4488

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4416

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4390

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4336

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4200

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4094

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3857

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3799

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3752

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3728

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3653

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3464

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3277

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3256

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3182

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3181

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3147

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3040

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2947

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2918

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2804

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2626

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2604

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2589

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2450

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2300

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2299

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2243

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2152

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2122

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2112

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2052

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2029

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1949

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1934

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1881

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1819

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1817

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1770

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1763

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1759

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1705

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1606

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1484

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1415

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1395

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1294

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1214

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1149

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1140

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1085

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1053

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0953

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0946

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0846

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0704

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0691

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0668

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0664

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0660

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0640

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0618

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0615

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0599

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0579

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0517

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`)