TreeWAS – [Z88.2] Personal history of allergy to sulphonamides

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
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.926	0.074	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.906	0.094	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.844	0.156	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.759	0.241	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.712	0.288	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.696	0.304	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.686	0.313	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.679	0.321	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.668	0.332	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.651	0.349	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.642	0.358	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.635	0.365	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.603	0.397	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.596	0.404	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.588	0.412	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.563	0.437	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.489	0.511	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.521	0.479
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.471	0.529	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.417	0.583	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.402	0.598	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.396	0.604	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.374	0.626	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.365	0.635	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.348	0.652	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.319	0.681	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.305	0.695	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.287	0.713	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.268	0.731	0.001
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.267	0.733	0.001
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.251	0.749	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.236	0.764	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.223	0.777	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.219	0.781	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.215	0.785	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.214	0.785	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.214	0.786	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.201	0.799	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.196	0.803	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.169	0.831	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.161	0.838	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.160	0.839	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.156	0.844	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.152	0.848	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.147	0.852	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.138	0.862	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.124	0.876	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.122	0.878	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.121	0.878	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.108	0.892	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.102	0.898	0.001
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.902	0.098
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.082	0.918	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.069	0.931	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.066	0.934	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.060	0.940	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.058	0.942	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.057	0.943	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.056	0.944	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.056	0.944	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.054	0.945	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.053	0.947	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.053	0.947	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.051	0.948	0.001
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.048	0.952	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.048	0.952	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.044	0.956	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.044	0.956	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.041	0.959	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.041	0.959	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.039	0.961	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.035	0.964	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.033	0.967	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.032	0.968	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.030	0.970	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.028	0.971	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.027	0.972	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.026	0.974	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.025	0.975	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.023	0.977	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.021	0.979	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.020	0.980	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.018	0.982	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.018	0.982	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.017	0.983	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.011	0.983	0.006
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.017	0.983	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.017	0.983	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.015	0.985	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.986	0.014
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.013	0.986	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.013	0.987	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.013	0.987	0.000
rs1520333 lBF = `-0.0462441` Chr`8` : `79,401,038`	0.000	0.987	0.013
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.012	0.988	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.012	0.988	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	0.988	0.012
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.012	0.988	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.012	0.988	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.011	0.989	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.011	0.989	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.008	0.992	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.007	0.992	0.000
rs4733601 lBF = `-0.0240629` Chr`8` : `129,269,466`	0.000	0.992	0.008
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.992	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.007	0.993	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.006	0.994	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.006	0.994	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.005	0.995	0.000
rs2648875 lBF = `0.0245957` Chr`8` : `129,072,161`	0.000	0.995	0.005
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.004	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.004	0.996	0.000
rs931812 lBF = `-0.0890979` Chr`8` : `101,919,321`	0.000	0.996	0.004
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.004	0.996	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.004	0.996	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.003	0.996	0.001
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.996	0.000
rs7818948 lBF = `21.8594` Chr`8` : `101,062,888`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs7820074 lBF = `-0.0388993` Chr`8` : `82,928,598`	0.000	0.996	0.004
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.003	0.996	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.003	0.997	0.000
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.003	0.997	0.000
Affx-31548681 lBF = `15.4653` Chr`8` : `128,428,795`	0.003	0.997	0.000
rs4242434 lBF = `0.0831786` Chr`8` : `22,501,830`	0.003	0.997	0.000
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	0.003	0.997	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.003	0.997	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.003	0.997	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.003	0.997	0.000
rs2954793 lBF = `-0.0391283` Chr`8` : `29,106,059`	0.003	0.997	0.000
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.002	0.998	0.000
rs7839040 lBF = `-0.0839796` Chr`8` : `82,894,306`	0.000	0.998	0.002
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.002	0.998	0.000
rs10113213 lBF = `-0.0835412` Chr`8` : `82,888,608`	0.000	0.998	0.002
rs604254 lBF = `20.4602` Chr`8` : `70,059,164`	0.000	0.998	0.002
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.002	0.998	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.002	0.998	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs1208 lBF = `-0.0928151` Chr`8` : `18,258,316`	0.000	0.998	0.002
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.002	0.998	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs4921914 lBF = `1.67362` Chr`8` : `18,272,438`	0.002	0.998	0.000
rs4129585 lBF = `-0.0781628` Chr`8` : `143,312,933`	0.002	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.002	0.998	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	0.998	0.002
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.002	0.998	0.000
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.000	0.998	0.002
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.001	0.998	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs9792269 lBF = `-0.0139359` Chr`8` : `129,264,589`	0.001	0.999	0.000
rs2898261 lBF = `1.10657` Chr`8` : `10,958,539`	0.000	0.999	0.001
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.001	0.999	0.000
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.000	0.999	0.001
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.001	0.999	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.000	0.999	0.001
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.000	0.999	0.001
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs9657451 lBF = `-0.0524017` Chr`8` : `138,905,296`	0.000	0.999	0.001
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	0.999	0.001
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.000	0.999	0.001
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	0.999	0.001
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.001	0.999	0.000
rs655028 lBF = `20.4236` Chr`8` : `70,049,047`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs853308 lBF = `1.42537` Chr`8` : `133,929,917`	0.000	0.999	0.001
rs4921915 lBF = `0.945068` Chr`8` : `18,272,466`	0.001	0.999	0.000
rs1460163 lBF = `-0.064761` Chr`8` : `80,227,448`	0.001	0.999	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.999	0.001
rs1495743 lBF = `1.21496` Chr`8` : `18,273,300`	0.001	0.999	0.000
rs35246381 lBF = `0.953004` Chr`8` : `18,272,535`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs4871297 lBF = `-0.0107637` Chr`8` : `123,706,155`	0.001	0.999	0.000
rs4921913 lBF = `0.911956` Chr`8` : `18,272,377`	0.001	0.999	0.000
rs13281615 lBF = `3.28748` Chr`8` : `128,355,618`	0.000	0.999	0.001
rs721399 lBF = `0.0880093` Chr`8` : `18,259,366`	0.001	0.999	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	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
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	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
rs11989122 lBF = `0` Chr`8` : `118,827,839`	0.001	0.999	0.001
rs11986011 lBF = `0` Chr`8` : `127,332,657`	0.001	0.999	0.001
rs191631123 lBF = `0` Chr`8` : `32,443,704`	0.001	0.999	0.001
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rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	1.000	0.000
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	1.000	0.000
rs160451 lBF = `0.013616` Chr`8` : `90,662,941`	0.000	1.000	0.000
rs160441 lBF = `0.00901776` Chr`8` : `90,656,988`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs13257518 lBF = `-0.0487025` Chr`8` : `32,635,574`	0.000	1.000	0.000
rs13253111 lBF = `-0.0521439` Chr`8` : `28,061,974`	0.000	1.000	0.000
rs17301329 lBF = `-0.0705506` Chr`8` : `54,858,981`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.000	1.000	0.000
rs115849089 lBF = `6.47166` Chr`8` : `19,912,370`	0.000	1.000	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	1.000	0.000
rs79236614 lBF = `2.78621` Chr`8` : `19,860,460`	0.000	1.000	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs1585518 lBF = `0.0706345` Chr`8` : `120,475,238`	0.000	1.000	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	1.000	0.000
rs11782652 lBF = `-0.0242561` Chr`8` : `82,653,644`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs977396 lBF = `-0.0388677` Chr`8` : `105,992,696`	0.000	1.000	0.000
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	1.000	0.000
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.000	1.000	0.000
rs2741335 lBF = `-0.0522161` Chr`8` : `27,337,791`	0.000	1.000	0.000
rs12677056 lBF = `-0.0748839` Chr`8` : `113,422,382`	0.000	1.000	0.000
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.000	1.000	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.000	1.000	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.000	1.000	0.000
rs11558471 lBF = `12.8635` Chr`8` : `118,185,733`	0.000	1.000	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.000	1.000	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	1.000	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs73229090 lBF = `0.00150645` Chr`8` : `27,442,127`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs10090104 lBF = `-0.0522781` Chr`8` : `142,370,862`	0.000	1.000	0.000
rs3019885 lBF = `-0.0732499` Chr`8` : `118,025,645`	0.000	1.000	0.000
rs42490 lBF = `-0.106832` Chr`8` : `90,778,513`	0.000	1.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.000	1.000	0.000
rs2085629 lBF = `0.278336` Chr`8` : `110,228,044`	0.000	1.000	0.000
rs678347 lBF = `0.117746` Chr`8` : `102,463,602`	0.000	1.000	0.000
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs77913157 lBF = `0.00320006` Chr`8` : `19,949,198`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	1.000	0.000
rs12681792 lBF = `-0.0722975` Chr`8` : `62,054,463`	0.000	1.000	0.000
rs11779860 lBF = `-0.114845` Chr`8` : `98,850,330`	0.000	1.000	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.000	1.000	0.000
rs13266634 lBF = `14.9919` Chr`8` : `118,184,783`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	1.000	0.000
rs400824 lBF = `3.72898` Chr`8` : `81,357,702`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	1.000	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	1.000	0.000
rs16904179 lBF = `-0.0207368` Chr`8` : `130,958,951`	0.000	1.000	0.000
rs17412740 lBF = `-0.0262207` Chr`8` : `20,246,758`	0.000	1.000	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	1.000	0.000
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	1.000	0.000
rs7386474 lBF = `-0.0657204` Chr`8` : `142,359,550`	0.000	1.000	0.000
rs2163870 lBF = `-0.0891177` Chr`8` : `108,377,901`	0.000	1.000	0.000
rs7828089 lBF = `-0.106178` Chr`8` : `22,264,334`	0.000	1.000	0.000
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	1.000	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	1.000	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6683

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3575

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9934

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9885

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9880

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9845

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9830

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9825

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9689

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9623

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9619

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9547

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9411

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8751

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8750

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8646

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8582

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8325

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8317

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7993

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7810

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7787

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7208

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7004

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6931

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6771

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6497

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6461

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6206

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6130

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6049

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6036

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5813

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5615

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5403

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4730

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4471

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4436

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4197

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4005

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3028

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2958

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2738

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1987

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1600

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1594

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1235

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1099

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0779

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0761

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0760

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0524

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`)