TreeWAS – [Z94.8] Other transplanted organ and tissue status

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
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.817	0.183	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.779	0.221	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.723	0.277	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.690	0.310	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.683	0.317	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.662	0.338	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.642	0.358	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.629	0.371	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.598	0.402	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.584	0.416	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.571	0.428	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.558	0.442	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.555	0.445	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.518	0.482	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.514	0.486	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.511	0.489	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.511	0.489	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.507	0.492	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.493	0.506
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.494	0.505	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.489	0.511	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.483	0.517	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.481	0.519	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.468	0.532	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.467	0.532	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.451	0.549	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.450	0.550	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.441	0.559	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.428	0.572	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.417	0.583	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.415	0.585	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.404	0.596	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.404	0.596	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.404	0.596	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.398	0.601	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.389	0.611	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.383	0.617	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.376	0.623	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.373	0.627	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.373	0.627	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.371	0.629	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.359	0.641	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.356	0.644	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.340	0.660	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.334	0.666	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.330	0.669	0.001
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.319	0.681	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.298	0.702	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.296	0.704	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.284	0.716	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.282	0.718	0.001
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.262	0.737	0.001
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.252	0.748	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.247	0.753	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.241	0.758	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.234	0.766	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.219	0.781	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.212	0.788	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.211	0.788	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.207	0.793	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.205	0.795	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.192	0.808	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.184	0.816	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.172	0.828	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.162	0.837	0.001
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.147	0.853	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.146	0.854	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.145	0.855	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.125	0.875	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.123	0.877	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.113	0.887	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.111	0.888	0.001
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.105	0.895	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.096	0.904	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.077	0.922	0.001
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.923	0.077
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.072	0.928	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.067	0.933	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.059	0.941	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.049	0.951	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.048	0.952	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.041	0.959	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.038	0.962	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.038	0.962	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.034	0.966	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.033	0.966	0.001
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.030	0.970	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.030	0.970	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.028	0.972	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.026	0.974	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.025	0.975	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.024	0.976	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.021	0.979	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.019	0.981	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.016	0.984	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.012	0.987	0.001
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.012	0.988	0.000
rs2458413 lBF = `-0.0845246` Chr`8` : `105,359,432`	0.000	0.989	0.011
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.010	0.989	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.010	0.990	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.010	0.990	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.990	0.010
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.009	0.991	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.009	0.991	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.007	0.993	0.001
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.005	0.994	0.000
rs6558578 lBF = `-0.0952741` Chr`8` : `1,969,726`	0.000	0.995	0.005
rs7006687 lBF = `-0.0965045` Chr`8` : `18,233,582`	0.005	0.995	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.005	0.995	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.004	0.995	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.005	0.995	0.000
rs6984305 lBF = `0.260009` Chr`8` : `9,178,268`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.995	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.004	0.996	0.000
rs10955971 lBF = `-0.0698141` Chr`8` : `121,376,346`	0.004	0.996	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.004	0.996	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.004	0.996	0.000
rs2045084 lBF = `-0.0667958` Chr`8` : `144,693,839`	0.000	0.996	0.004
rs1523643 lBF = `-0.0580598` Chr`8` : `16,789,235`	0.000	0.996	0.004
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.004	0.996	0.000
rs2383876 lBF = `-0.0631562` Chr`8` : `74,066,179`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs7015657 lBF = `0.95006` Chr`8` : `20,967,551`	0.000	0.997	0.003
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.003	0.997	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.003	0.997	0.000
rs1512268 lBF = `5.83166` Chr`8` : `23,526,463`	0.000	0.997	0.003
rs6468442 lBF = `-0.0719252` Chr`8` : `37,686,749`	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
rs6473383 lBF = `-0.0244863` Chr`8` : `83,669,120`	0.000	0.997	0.003
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.003	0.997	0.000
rs4875320 lBF = `-0.0133141` Chr`8` : `4,164,013`	0.003	0.997	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.003	0.997	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.997	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.002	0.998	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	0.998	0.002
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.002	0.998	0.000
rs7826906 lBF = `0.0190413` Chr`8` : `121,501,723`	0.000	0.998	0.002
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.002	0.998	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.002	0.998	0.000
rs7833986 lBF = `0.0179907` Chr`8` : `57,100,149`	0.000	0.998	0.002
rs10958476 lBF = `0.00838987` Chr`8` : `57,095,808`	0.002	0.998	0.000
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.002	0.998	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	0.998	0.002
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.002	0.998	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.002	0.998	0.000
rs11784536 lBF = `0.0764394` Chr`8` : `144,839,147`	0.000	0.998	0.002
rs16902328 lBF = `0.0227453` Chr`8` : `128,713,873`	0.002	0.998	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.002	0.998	0.000
rs7015630 lBF = `-0.0417055` Chr`8` : `90,875,918`	0.000	0.998	0.002
Affx-31548678 lBF = `36.2251` Chr`8` : `128,428,638`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.002	0.998	0.000
rs2062078 lBF = `4.27827` Chr`8` : `130,734,461`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs4389974 lBF = `-0.0696583` Chr`8` : `112,381,796`	0.000	0.998	0.002
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	0.998	0.002
rs13273123 lBF = `0.016672` Chr`8` : `57,100,791`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.002	0.998	0.000
rs77265424 lBF = `-0.0328043` Chr`8` : `5,227,102`	0.000	0.998	0.002
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.001	0.998	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs2294015 lBF = `-0.0667375` Chr`8` : `124,696,867`	0.002	0.998	0.000
rs7818948 lBF = `21.8594` Chr`8` : `101,062,888`	0.002	0.998	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.001	0.998	0.000
rs1517114 lBF = `-0.11314` Chr`8` : `69,389,217`	0.002	0.998	0.000
rs13259667 lBF = `0.487497` Chr`8` : `78,325,885`	0.000	0.998	0.002
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	0.998	0.002
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.000	0.998	0.002
rs6470764 lBF = `4.32028` Chr`8` : `130,725,665`	0.002	0.998	0.000
rs2254546 lBF = `0.049017` Chr`8` : `11,343,680`	0.000	0.998	0.002
rs4733781 lBF = `-0.00271699` Chr`8` : `131,296,767`	0.002	0.998	0.000
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.002	0.998	0.000
rs11136341 lBF = `0.0141972` Chr`8` : `145,043,543`	0.000	0.998	0.001
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.001	0.999	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	0.999	0.001
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.001	0.999	0.000
rs6999452 lBF = `-0.0453161` Chr`8` : `106,397,116`	0.000	0.999	0.001
rs13256366 lBF = `5.2471` Chr`8` : `23,502,660`	0.000	0.999	0.001
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.001	0.999	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.001	0.999	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.001	0.999	0.000
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rs10956483 lBF = `0.0260254` Chr`8` : `130,572,110`	0.000	0.999	0.001
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.001	0.999	0.000
rs77913157 lBF = `0.00320006` Chr`8` : `19,949,198`	0.001	0.999	0.000
rs2627282 lBF = `-0.0260288` Chr`8` : `2,780,956`	0.001	0.999	0.000
rs1504749 lBF = `-0.055441` Chr`8` : `55,310,711`	0.000	0.999	0.001
rs2610025 lBF = `-0.101587` Chr`8` : `57,505,313`	0.000	0.999	0.001
rs7814749 lBF = `-0.102908` Chr`8` : `87,721,349`	0.000	0.999	0.001
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	0.999	0.000
rs2683295 lBF = `0.469924` Chr`8` : `19,077,830`	0.000	0.999	0.001
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	0.999	0.001
rs501344 lBF = `0.0780619` Chr`8` : `103,114,573`	0.000	0.999	0.001
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.000
rs10503871 lBF = `-0.0315324` Chr`8` : `30,436,852`	0.000	0.999	0.001
rs10957961 lBF = `-0.0732207` Chr`8` : `81,031,822`	0.001	0.999	0.000
rs7465272 lBF = `-0.0778937` Chr`8` : `143,691,838`	0.000	0.999	0.001
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	0.999	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	0.999	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	0.999	0.000
rs17057051 lBF = `0.0233128` Chr`8` : `27,227,554`	0.000	0.999	0.000
rs9650315 lBF = `0.0180583` Chr`8` : `57,155,598`	0.000	0.999	0.001
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	0.999	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	0.999	0.001
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	0.999	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	0.999	0.000
rs11136645 lBF = `0.193906` Chr`8` : `3,498,171`	0.001	0.999	0.000
rs3019286 lBF = `0.0717552` Chr`8` : `99,895,405`	0.000	0.999	0.001
rs2916733 lBF = `-0.0629949` Chr`8` : `6,323,278`	0.000	0.999	0.001
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.001	0.999	0.000
rs7817714 lBF = `-0.077801` Chr`8` : `103,048,810`	0.000	0.999	0.001
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.000	0.999	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	0.999	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	0.999	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	0.999	0.000
rs2460905 lBF = `-0.00438948` Chr`8` : `12,834,600`	0.000	0.999	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.000	0.999	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	0.999	0.000
rs2926702 lBF = `-0.0508769` Chr`8` : `71,167,994`	0.000	0.999	0.000
rs12155623 lBF = `-0.0839085` Chr`8` : `49,812,201`	0.000	0.999	0.000
rs11992171 lBF = `9.07246` Chr`8` : `128,529,933`	0.000	0.999	0.000
rs2912522 lBF = `7.07022` Chr`8` : `69,992,380`	0.000	0.999	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.000	0.999	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	0.999	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	0.999	0.000
rs643472 lBF = `0.195951` Chr`8` : `29,153,777`	0.000	0.999	0.000
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.000	0.999	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	0.999	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	0.999	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	0.999	0.000
rs12550729 lBF = `-0.0322055` Chr`8` : `145,155,408`	0.000	0.999	0.000
rs11989782 lBF = `-0.0632344` Chr`8` : `121,694,650`	0.000	0.999	0.000
rs1481757 lBF = `-0.0757042` Chr`8` : `31,967,958`	0.000	0.999	0.001
rs2046180 lBF = `-0.0951139` Chr`8` : `74,685,404`	0.000	0.999	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs10110287 lBF = `-0.00831101` Chr`8` : `21,487,130`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs13257518 lBF = `-0.0487025` Chr`8` : `32,635,574`	0.000	1.000	0.000
rs1042992 lBF = `-0.0604619` Chr`8` : `26,269,191`	0.000	1.000	0.000
rs12680546 lBF = `-0.0687005` Chr`8` : `136,871,739`	0.000	1.000	0.000
rs1895885 lBF = `-0.102059` Chr`8` : `53,010,530`	0.000	1.000	0.000
rs3849811 lBF = `-0.102385` Chr`8` : `53,010,152`	0.000	1.000	0.000
rs2941484 lBF = `-0.13492` Chr`8` : `76,478,768`	0.000	1.000	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs7844647 lBF = `1.14055` Chr`8` : `34,503,776`	0.000	1.000	0.000
rs4733613 lBF = `0.769072` Chr`8` : `129,599,278`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	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
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs10958409 lBF = `-0.00235757` Chr`8` : `55,327,091`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.000	1.000	0.000
rs2514805 lBF = `-0.0377243` Chr`8` : `95,167,247`	0.000	1.000	0.000
rs959695 lBF = `-0.0580729` Chr`8` : `100,835,182`	0.000	1.000	0.000
rs3892512 lBF = `-0.102026` Chr`8` : `53,010,163`	0.000	1.000	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs10086908 lBF = `3.53715` Chr`8` : `128,011,937`	0.000	1.000	0.000
rs4484658 lBF = `0.148601` Chr`8` : `96,208,726`	0.000	1.000	0.000
rs6469488 lBF = `0.121984` Chr`8` : `114,885,432`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs6473015 lBF = `0.093735` Chr`8` : `78,178,485`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	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

0.7930

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5375

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9919

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9906

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9903

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9882

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9849

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9805

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9715

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9696

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9657

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9631

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9628

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9592

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9572

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9490

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9477

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9477

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9414

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9313

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9296

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9261

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9096

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9073

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9033

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9021

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8930

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8924

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8794

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8749

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8743

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8708

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8600

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8364

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8267

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8196

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8130

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8078

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8062

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8055

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7911

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7787

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7588

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7503

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7217

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7202

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7079

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6931

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6777

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6770

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6750

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6518

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6461

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6411

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6407

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6359

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6329

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6054

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5831

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5581

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5554

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5176

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4939

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4634

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4521

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4358

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4294

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4292

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4154

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4144

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3830

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3545

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3516

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3233

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3223

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3147

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3062

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3008

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2966

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2882

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2740

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2698

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2620

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2477

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2386

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2376

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2302

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2289

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2231

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2212

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2020

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1956

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1918

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1801

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1771

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1753

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1599

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1530

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1497

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1494

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1489

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1481

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1442

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1368

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1367

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1360

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1349

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1271

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1248

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1151

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0995

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0896

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0867

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0860

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0851

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0732

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0707

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0601

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`)