TreeWAS – [Z88.5] Personal history of allergy to narcotic agent

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
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.874	0.126	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.773	0.227	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.764	0.236	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.764	0.236	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.760	0.240	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.710	0.290	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.693	0.307	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.678	0.321	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.666	0.334	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.596	0.404	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.596	0.404	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.435	0.565
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.559	0.441	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.549	0.450	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.545	0.455	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.537	0.463	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.491	0.509	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.476	0.524	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.461	0.539	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.453	0.546	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.432	0.568	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.409	0.591	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.391	0.609	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.378	0.622	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.370	0.630	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.362	0.638	0.001
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.357	0.643	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.344	0.656	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.338	0.662	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.329	0.671	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.316	0.684	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.300	0.700	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.287	0.713	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.281	0.718	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.253	0.747	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.243	0.757	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.196	0.803	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.191	0.809	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.186	0.814	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.183	0.816	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.181	0.819	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.172	0.828	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.160	0.839	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.149	0.851	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.114	0.885	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.112	0.888	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.102	0.898	0.001
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.101	0.898	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.902	0.098
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.076	0.924	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.074	0.926	0.001
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.070	0.929	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.070	0.930	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.068	0.932	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.068	0.932	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.067	0.932	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.061	0.939	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.061	0.939	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.060	0.940	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.057	0.943	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.056	0.944	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.053	0.947	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.053	0.947	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.052	0.947	0.001
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.052	0.948	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.049	0.950	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.048	0.952	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.047	0.952	0.001
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.047	0.952	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.046	0.953	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.033	0.967	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.033	0.967	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.030	0.970	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.027	0.973	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.023	0.976	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.024	0.976	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.022	0.978	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.021	0.978	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.019	0.980	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.019	0.981	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.018	0.982	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.017	0.983	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.016	0.984	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.016	0.984	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.985	0.015
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.008	0.985	0.007
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	0.986	0.014
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.014	0.986	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.013	0.986	0.001
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.013	0.987	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.011	0.989	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.011	0.989	0.000
rs12677056 lBF = `-0.0748839` Chr`8` : `113,422,382`	0.010	0.990	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.010	0.990	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.010	0.990	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.009	0.991	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.009	0.991	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.009	0.991	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.009	0.991	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.007	0.992	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.992	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.007	0.993	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.006	0.994	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.006	0.994	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.005	0.995	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.005	0.995	0.000
rs17359493 lBF = `0.171782` Chr`8` : `95,856,911`	0.005	0.995	0.000
rs1983474 lBF = `-0.088099` Chr`8` : `4,403,586`	0.000	0.995	0.005
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.004	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs1962073 lBF = `1.72707` Chr`8` : `10,260,553`	0.000	0.996	0.004
rs5003154 lBF = `1.76117` Chr`8` : `81,986,953`	0.000	0.996	0.004
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.000	0.996	0.004
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.004	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.003	0.997	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.003	0.997	0.001
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.003	0.997	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.003	0.997	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	0.997	0.003
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.997	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.002	0.998	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.002	0.998	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.002	0.998	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	0.998	0.002
rs12541491 lBF = `3.13816` Chr`8` : `10,250,048`	0.002	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.000	0.998	0.002
rs12680655 lBF = `-0.0634072` Chr`8` : `135,637,337`	0.000	0.998	0.002
rs4625043 lBF = `0.912167` Chr`8` : `24,533,193`	0.000	0.998	0.002
rs2622590 lBF = `-0.0395154` Chr`8` : `56,358,274`	0.000	0.998	0.002
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2254546 lBF = `0.049017` Chr`8` : `11,343,680`	0.000	0.998	0.002
rs4871137 lBF = `-0.0990842` Chr`8` : `121,868,551`	0.002	0.998	0.000
rs11250098 lBF = `9.99463` Chr`8` : `10,818,607`	0.000	0.998	0.002
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.001	0.998	0.001
rs1996720 lBF = `0.205595` Chr`8` : `113,074,096`	0.002	0.998	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.002	0.998	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.002	0.998	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	0.998	0.002
rs1478898 lBF = `1.07653` Chr`8` : `11,395,079`	0.000	0.998	0.002
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.002	0.998	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	0.999	0.001
rs4737395 lBF = `-0.0158619` Chr`8` : `56,599,548`	0.000	0.999	0.001
rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	0.000	0.999	0.001
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	0.999	0.001
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.001	0.999	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.001	0.999	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.001	0.999	0.000
rs10435719 lBF = `2.63268` Chr`8` : `11,776,904`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.999	0.000
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	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
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	0.999	0.001
rs11250099 lBF = `8.18578` Chr`8` : `10,818,657`	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
rs4295623 lBF = `0.788904` Chr`8` : `11,522,784`	0.001	0.999	0.000
rs1962772 lBF = `0.0489516` Chr`8` : `17,370,776`	0.000	0.999	0.001
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	0.999	0.001
rs11782652 lBF = `-0.0242561` Chr`8` : `82,653,644`	0.000	0.999	0.001
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.001	0.999	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
Affx-31548678 lBF = `36.2251` Chr`8` : `128,428,638`	0.000	0.999	0.001
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.001	0.999	0.000
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
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	0.999	0.001
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
rs191935895 lBF = `0` Chr`8` : `5,267,311`	0.001	0.999	0.001
rs189590409 lBF = `0` Chr`8` : `114,727,602`	0.001	0.999	0.001
rs111754512 lBF = `0` Chr`8` : `24,400,648`	0.001	0.999	0.001
rs7460090 lBF = `0` Chr`8` : `57,194,163`	0.001	0.999	0.001
rs113660214 lBF = `0` Chr`8` : `977,436`	0.001	0.999	0.001
rs147852159 lBF = `0` Chr`8` : `146,171,164`	0.001	0.999	0.001
rs201734206 lBF = `0` Chr`8` : `73,984,100`	0.001	0.999	0.001
rs192994403 lBF = `0` Chr`8` : `76,211,333`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	0.001	0.999	0.001
rs116041037 lBF = `0` Chr`8` : `128,131,809`	0.001	0.999	0.001
rs183191361 lBF = `0` Chr`8` : `76,083,247`	0.001	0.999	0.001
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rs4295627 lBF = `-0.0634004` Chr`8` : `130,685,457`	0.000	1.000	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.000	1.000	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	1.000	0.000
rs6990042 lBF = `-0.077602` Chr`8` : `14,173,974`	0.000	1.000	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.000	1.000	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	1.000	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	1.000	0.000
rs3824247 lBF = `7.70157` Chr`8` : `124,721,949`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.000	1.000	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.000	1.000	0.000
rs10504906 lBF = `0.0985992` Chr`8` : `92,418,628`	0.000	1.000	0.000
rs2468186 lBF = `0.0833698` Chr`8` : `120,200,702`	0.000	1.000	0.000
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.000	1.000	0.000
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.000	1.000	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	1.000	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	1.000	0.000
rs11203649 lBF = `-0.0247623` Chr`8` : `14,517,294`	0.000	1.000	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	1.000	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.000	1.000	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	1.000	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.000	1.000	0.000
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	1.000	0.000
rs13259667 lBF = `0.487497` Chr`8` : `78,325,885`	0.000	1.000	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.000	1.000	0.000
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	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
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	1.000	0.000
rs7815788 lBF = `-0.0302359` Chr`8` : `57,179,020`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs13273891 lBF = `-0.032508` Chr`8` : `58,986,459`	0.000	1.000	0.000
rs1487141 lBF = `-0.0502364` Chr`8` : `32,139,652`	0.000	1.000	0.000
rs9918807 lBF = `-0.0613929` Chr`8` : `130,676,639`	0.000	1.000	0.000
rs10097555 lBF = `-0.0673728` Chr`8` : `32,346,295`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.000	1.000	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	1.000	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	1.000	0.000
rs4242384 lBF = `18.3481` Chr`8` : `128,518,554`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.000	1.000	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.000	1.000	0.000
rs11166827 lBF = `0.159375` Chr`8` : `139,504,270`	0.000	1.000	0.000
rs12547604 lBF = `0.0948587` Chr`8` : `4,860,491`	0.000	1.000	0.000
rs7829759 lBF = `0.0147051` Chr`8` : `3,147,359`	0.000	1.000	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.000	1.000	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	1.000	0.000
rs4738873 lBF = `-0.0431328` Chr`8` : `62,086,176`	0.000	1.000	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.000	1.000	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.000	1.000	0.000
rs6984305 lBF = `0.260009` Chr`8` : `9,178,268`	0.000	1.000	0.000
rs7829987 lBF = `0.132573` Chr`8` : `17,462,222`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	1.000	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.000	1.000	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	1.000	0.000
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.000	1.000	0.000
rs2736871 lBF = `-0.0663409` Chr`8` : `134,475,077`	0.000	1.000	0.000
rs6988229 lBF = `-0.0887463` Chr`8` : `139,884,509`	0.000	1.000	0.000
rs7463256 lBF = `-0.098473` Chr`8` : `23,101,620`	0.000	1.000	0.000
rs7818948 lBF = `21.8594` Chr`8` : `101,062,888`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	1.000	0.000
rs4733271 lBF = `0.712801` Chr`8` : `31,567,006`	0.000	1.000	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.000	1.000	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	1.000	0.000
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.000	1.000	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	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

0.8875

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2890

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9965

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9948

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9873

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9857

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9749

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9734

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9704

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9642

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9598

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9486

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9392

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9342

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9002

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8946

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8905

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8765

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8002

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7768

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7717

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7373

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6728

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6662

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6428

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6408

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6268

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6240

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6149

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5398

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5395

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5174

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4226

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4040

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3549

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3391

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3391

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2406

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1832

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1568

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1545

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1377

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1289

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1284

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1224

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1215

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0882

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0836

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0807

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0647

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`)