TreeWAS – [Z92.8] Personal history of other medical treatment

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
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.740	0.260	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.715	0.285	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.691	0.309	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.683	0.317	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.675	0.325	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.328	0.672
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.671	0.329	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.655	0.345	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.648	0.352	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.628	0.372	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.620	0.380	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.617	0.383	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.616	0.384	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.610	0.390	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.607	0.393	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.578	0.422	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.568	0.432	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.556	0.444	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.513	0.487	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.483	0.517	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.457	0.543	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.448	0.552	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.440	0.560	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.423	0.577	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.419	0.581	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.398	0.602	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.387	0.613	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.371	0.628	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.366	0.634	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.361	0.639	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.351	0.649	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.343	0.657	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.321	0.679	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.308	0.692	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.278	0.722	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.240	0.760	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.225	0.775	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.224	0.776	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.211	0.789	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.206	0.794	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.191	0.809	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.185	0.815	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.185	0.815	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.177	0.823	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.176	0.823	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.174	0.826	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.169	0.831	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.165	0.835	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.163	0.837	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.153	0.847	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.148	0.852	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.143	0.857	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.136	0.864	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.131	0.869	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.126	0.874	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.105	0.895	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.104	0.896	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.104	0.896	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.102	0.897	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.092	0.908	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.091	0.909	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.086	0.914	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.920	0.080
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.076	0.924	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.073	0.927	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.067	0.933	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.066	0.934	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.065	0.934	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.063	0.937	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.063	0.937	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.059	0.940	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.057	0.943	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.052	0.948	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.047	0.952	0.001
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.045	0.955	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.038	0.962	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.034	0.966	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.034	0.966	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.031	0.969	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.030	0.970	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.028	0.972	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.027	0.973	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.027	0.973	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.024	0.976	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.024	0.976	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.023	0.976	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.023	0.977	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.020	0.980	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.020	0.980	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.019	0.981	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.018	0.982	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.016	0.984	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.016	0.984	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.016	0.984	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs17737465 lBF = `-0.114243` Chr`8` : `98,154,441`	0.014	0.986	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.014	0.986	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.013	0.987	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.013	0.987	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.988	0.012
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.012	0.988	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.012	0.988	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.010	0.989	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.006	0.993	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
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.005	0.995	0.000
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	0.000	0.995	0.005
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.004	0.996	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.004	0.996	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.004	0.996	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.004	0.996	0.000
rs2610025 lBF = `-0.101587` Chr`8` : `57,505,313`	0.004	0.996	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.003	0.996	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.003	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.003	0.997	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs2085629 lBF = `0.278336` Chr`8` : `110,228,044`	0.000	0.997	0.003
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.000	0.997	0.003
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	0.997	0.003
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.997	0.000
rs655028 lBF = `20.4236` Chr`8` : `70,049,047`	0.002	0.998	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.002	0.998	0.000
rs4242434 lBF = `0.0831786` Chr`8` : `22,501,830`	0.000	0.998	0.002
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.000	0.998	0.002
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.002	0.998	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.002	0.998	0.000
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.002	0.998	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.002	0.998	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs6473015 lBF = `0.093735` Chr`8` : `78,178,485`	0.002	0.998	0.000
rs11986414 lBF = `-0.00590791` Chr`8` : `1,746,950`	0.000	0.998	0.002
rs604254 lBF = `20.4602` Chr`8` : `70,059,164`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs10504073 lBF = `-0.066873` Chr`8` : `50,024,944`	0.000	0.998	0.002
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.001	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.998	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.001	0.999	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.000	0.999	0.001
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.001	0.999	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.001	0.999	0.000
rs7823896 lBF = `0.00330636` Chr`8` : `110,217,266`	0.001	0.999	0.000
rs987525 lBF = `0.731115` Chr`8` : `129,946,154`	0.001	0.999	0.000
Affx-31548681 lBF = `15.4653` Chr`8` : `128,428,795`	0.000	0.999	0.001
rs7846385 lBF = `0.153393` Chr`8` : `78,160,179`	0.001	0.999	0.000
rs4735677 lBF = `0.145963` Chr`8` : `78,148,191`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs4733789 lBF = `-0.019309` Chr`8` : `128,834,403`	0.001	0.999	0.000
rs7821178 lBF = `1.10482` Chr`8` : `78,093,837`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs16868941 lBF = `0.561921` Chr`8` : `103,052,377`	0.000	0.999	0.001
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	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
rs112537273 lBF = `0.100864` Chr`8` : `38,248,306`	0.001	0.999	0.000
rs7015048 lBF = `-0.0923728` Chr`8` : `144,984,283`	0.000	0.999	0.001
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
rs4355801 lBF = `0.157347` Chr`8` : `119,923,873`	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
rs3923387 lBF = `-0.03853` Chr`8` : `144,986,793`	0.000	0.999	0.001
rs6990361 lBF = `-0.0418494` Chr`8` : `144,987,221`	0.000	0.999	0.001
rs7004520 lBF = `-0.05444` Chr`8` : `31,327,049`	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
rs141395649 lBF = `0` Chr`8` : `6,498,690`	0.001	0.999	0.001
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs116129203 lBF = `0` Chr`8` : `6,779,323`	0.001	0.999	0.001
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
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
rs4128527 lBF = `0` Chr`8` : `72,682,693`	0.001	0.999	0.001
rs1845529 lBF = `0` Chr`8` : `116,163,863`	0.001	0.999	0.001
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
rs182838111 lBF = `0` Chr`8` : `67,889,470`	0.001	0.999	0.001
rs73313124 lBF = `0` Chr`8` : `110,478,822`	0.001	0.999	0.001
rs182387400 lBF = `0` Chr`8` : `25,129,708`	0.001	0.999	0.001
rs192074192 lBF = `0` Chr`8` : `73,025,833`	0.001	0.999	0.001
rs147851892 lBF = `0` Chr`8` : `24,234,355`	0.001	0.999	0.001
rs188809019 lBF = `0` Chr`8` : `129,286,235`	0.001	0.999	0.001
rs143335239 lBF = `0` Chr`8` : `6,500,809`	0.001	0.999	0.001
rs75455452 lBF = `0` Chr`8` : `72,991,580`	0.001	0.999	0.001
rs144222594 lBF = `0` Chr`8` : `12,931,504`	0.001	0.999	0.001
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
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rs2898261 lBF = `1.10657` Chr`8` : `10,958,539`	0.000	1.000	0.000
rs6984305 lBF = `0.260009` Chr`8` : `9,178,268`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs16937456 lBF = `-0.00258648` Chr`8` : `72,077,955`	0.000	1.000	0.000
rs11203649 lBF = `-0.0247623` Chr`8` : `14,517,294`	0.000	1.000	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.000	1.000	0.000
rs10091374 lBF = `-0.0497464` Chr`8` : `71,386,904`	0.000	1.000	0.000
rs2946505 lBF = `-0.0713648` Chr`8` : `12,811,152`	0.000	1.000	0.000
rs6990042 lBF = `-0.077602` Chr`8` : `14,173,974`	0.000	1.000	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	1.000	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.000	1.000	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	1.000	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	1.000	0.000
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	0.000	1.000	0.000
rs6470120 lBF = `0.393782` Chr`8` : `123,881,218`	0.000	1.000	0.000
rs17359493 lBF = `0.171782` Chr`8` : `95,856,911`	0.000	1.000	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	1.000	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	0.000	1.000	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.000	1.000	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	1.000	0.000
rs1364705 lBF = `0.0243758` Chr`8` : `120,224,806`	0.000	1.000	0.000
rs7829759 lBF = `0.0147051` Chr`8` : `3,147,359`	0.000	1.000	0.000
rs6981992 lBF = `-0.0112274` Chr`8` : `66,463,478`	0.000	1.000	0.000
rs2926702 lBF = `-0.0508769` Chr`8` : `71,167,994`	0.000	1.000	0.000
rs11774576 lBF = `-0.108983` Chr`8` : `27,740,417`	0.000	1.000	0.000
rs10448044 lBF = `-0.110054` Chr`8` : `80,103,432`	0.000	1.000	0.000
rs13251954 lBF = `-0.131242` Chr`8` : `28,995,022`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.000	1.000	0.000
rs325 lBF = `5.51521` Chr`8` : `19,819,328`	0.000	1.000	0.000
rs4733724 lBF = `4.55679` Chr`8` : `130,723,728`	0.000	1.000	0.000
rs328 lBF = `4.32431` Chr`8` : `19,819,724`	0.000	1.000	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.000	1.000	0.000
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.000	1.000	0.000
rs12678919 lBF = `1.74917` Chr`8` : `19,844,222`	0.000	1.000	0.000
rs10503669 lBF = `1.21694` Chr`8` : `19,847,690`	0.000	1.000	0.000
rs12546962 lBF = `0.487337` Chr`8` : `9,198,185`	0.000	1.000	0.000
rs12679254 lBF = `0.359215` Chr`8` : `74,274,191`	0.000	1.000	0.000
rs11777116 lBF = `0.029769` Chr`8` : `24,044,301`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs7008026 lBF = `-0.0355462` Chr`8` : `70,950,280`	0.000	1.000	0.000
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	1.000	0.000
rs2383876 lBF = `-0.0631562` Chr`8` : `74,066,179`	0.000	1.000	0.000
rs10503256 lBF = `-0.0780116` Chr`8` : `4,214,179`	0.000	1.000	0.000
rs10088262 lBF = `-0.10496` Chr`8` : `124,765,702`	0.000	1.000	0.000
rs2954038 lBF = `34.2663` Chr`8` : `126,507,389`	0.000	1.000	0.000
rs2001846 lBF = `27.8908` Chr`8` : `126,478,450`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.000	1.000	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.000	1.000	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.000	1.000	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.000	1.000	0.000
rs6470764 lBF = `4.32028` Chr`8` : `130,725,665`	0.000	1.000	0.000
rs2062078 lBF = `4.27827` Chr`8` : `130,734,461`	0.000	1.000	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.000	1.000	0.000
rs79236614 lBF = `2.78621` Chr`8` : `19,860,460`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.000	1.000	0.000
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	1.000	0.000
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.000	1.000	0.000
rs2449215 lBF = `0.0947357` Chr`8` : `3,488,338`	0.000	1.000	0.000
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.000	1.000	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	1.000	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	1.000	0.000
rs903614 lBF = `-0.0185564` Chr`8` : `119,830,680`	0.000	1.000	0.000
rs11782652 lBF = `-0.0242561` Chr`8` : `82,653,644`	0.000	1.000	0.000
rs80018415 lBF = `-0.0366853` Chr`8` : `133,916,799`	0.000	1.000	0.000
rs1579834 lBF = `-0.0389399` Chr`8` : `81,813,346`	0.000	1.000	0.000
rs17742757 lBF = `-0.063568` Chr`8` : `11,330,341`	0.000	1.000	0.000
rs9693444 lBF = `-0.0637502` Chr`8` : `29,509,616`	0.000	1.000	0.000
rs1693575 lBF = `-0.087782` Chr`8` : `101,682,777`	0.000	1.000	0.000
rs12155789 lBF = `-0.0968561` Chr`8` : `22,643,707`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	1.000	0.000
rs7819412 lBF = `2.31897` Chr`8` : `11,045,161`	0.000	1.000	0.000
rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.000	1.000	0.000
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.000	1.000	0.000
rs800586 lBF = `0.947739` Chr`8` : `116,813,905`	0.000	1.000	0.000
rs10091038 lBF = `0.63362` Chr`8` : `29,360,305`	0.000	1.000	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.000	1.000	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.000	1.000	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.000	1.000	0.000
rs11995572 lBF = `0.255395` Chr`8` : `89,592,083`	0.000	1.000	0.000
rs13263959 lBF = `0.166306` Chr`8` : `142,632,315`	0.000	1.000	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	1.000	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	1.000	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs7004484 lBF = `0.0286376` Chr`8` : `132,934,538`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs1264202 lBF = `0.00009129` Chr`8` : `102,227,923`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs2466067 lBF = `-0.0475776` Chr`8` : `32,437,994`	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

0.6581

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1196

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0867

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9936

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9889

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9840

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9763

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9689

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9682

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9652

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9433

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9350

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9337

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9336

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9241

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9223

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9200

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9200

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9177

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9111

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8992

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8939

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8869

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8849

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8802

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8667

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8558

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8504

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8487

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8486

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8398

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8387

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8251

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8201

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8167

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8111

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8028

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8023

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7980

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7973

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7731

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7387

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7294

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7209

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6944

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6898

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6655

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6508

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6202

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6137

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6128

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5654

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5403

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4992

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4291

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3476

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3085

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2639

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2288

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1695

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1615

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1613

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1352

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1144

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1103

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1091

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1089

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1083

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1013

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1005

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0907

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0815

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0797

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0793

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0791

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0791

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0773

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0757

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0538

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0519

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`)