TreeWAS – [Z97.4] Presence of external hearing-aid

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
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.722	0.278	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.714	0.286	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.668	0.332	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.658	0.342	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.610	0.389	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.608	0.392	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.606	0.394	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.595	0.405	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.585	0.415	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.583	0.416	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.577	0.423	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.566	0.434	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.555	0.445	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.555	0.445	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.553	0.447	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.548	0.452	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.546	0.453	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.545	0.455	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.539	0.461	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.525	0.475	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.520	0.480	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.519	0.481	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.511	0.489	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.510	0.490	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.508	0.492	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.507	0.493	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.493	0.506
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.499	0.501	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.494	0.505	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.468	0.531	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.452	0.548	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.447	0.553	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.445	0.554	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.432	0.568	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.430	0.569	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.429	0.571	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.424	0.575	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.422	0.578	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.419	0.581	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.415	0.584	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.401	0.598	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.379	0.621	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.370	0.630	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.342	0.658	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.324	0.675	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.312	0.688	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.310	0.690	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.305	0.695	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.305	0.695	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.304	0.696	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.296	0.704	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.287	0.713	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.285	0.715	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.272	0.728	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.270	0.730	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.261	0.739	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.253	0.747	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.243	0.756	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.239	0.760	0.001
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.239	0.761	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.238	0.762	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.203	0.797	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.182	0.818	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.179	0.821	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.177	0.823	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.170	0.830	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.168	0.832	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.139	0.861	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.131	0.869	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.125	0.875	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.118	0.881	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.117	0.883	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.116	0.884	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.112	0.888	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.111	0.889	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.093	0.907	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.083	0.917	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.077	0.922	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.922	0.077
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.070	0.930	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.065	0.935	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.046	0.954	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.044	0.956	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.042	0.958	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	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
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.037	0.963	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.032	0.968	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.030	0.970	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.025	0.974	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.024	0.976	0.000
rs4909801 lBF = `0.00751066` Chr`8` : `135,879,159`	0.000	0.980	0.020
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.018	0.982	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.018	0.982	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.018	0.982	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.018	0.982	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.017	0.983	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.016	0.984	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.015	0.985	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.013	0.987	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.011	0.989	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.011	0.989	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.010	0.990	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.990	0.010
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.009	0.991	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.008	0.992	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.008	0.992	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.008	0.992	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.007	0.993	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.007	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.006	0.994	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.006	0.994	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.005	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.004	0.996	0.000
rs11784536 lBF = `0.0764394` Chr`8` : `144,839,147`	0.000	0.996	0.004
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.004	0.996	0.000
rs16868941 lBF = `0.561921` Chr`8` : `103,052,377`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs1495743 lBF = `1.21496` Chr`8` : `18,273,300`	0.000	0.996	0.004
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.000	0.996	0.004
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs13266634 lBF = `14.9919` Chr`8` : `118,184,783`	0.000	0.997	0.003
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs8180991 lBF = `0.184613` Chr`8` : `126,500,350`	0.000	0.997	0.003
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.003	0.997	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.003	0.997	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.997	0.003
rs4921913 lBF = `0.911956` Chr`8` : `18,272,377`	0.000	0.997	0.003
rs35246381 lBF = `0.953004` Chr`8` : `18,272,535`	0.000	0.997	0.003
rs6558578 lBF = `-0.0952741` Chr`8` : `1,969,726`	0.003	0.997	0.000
rs4921915 lBF = `0.945068` Chr`8` : `18,272,466`	0.000	0.997	0.003
rs1495741 lBF = `1.19235` Chr`8` : `18,272,881`	0.000	0.997	0.003
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.003	0.997	0.000
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.002	0.998	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.000	0.998	0.002
rs12543318 lBF = `-0.117623` Chr`8` : `88,868,340`	0.000	0.998	0.002
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.002	0.998	0.000
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.002	0.998	0.000
rs7843479 lBF = `-0.0814988` Chr`8` : `21,820,813`	0.000	0.998	0.002
rs2702888 lBF = `-0.0766788` Chr`8` : `6,765,032`	0.002	0.998	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs4921914 lBF = `1.67362` Chr`8` : `18,272,438`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	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
rs859812 lBF = `-0.0141918` Chr`8` : `5,593,810`	0.000	0.998	0.002
rs12542743 lBF = `0.281699` Chr`8` : `32,318,355`	0.000	0.998	0.002
rs10954808 lBF = `0.0319808` Chr`8` : `31,479,623`	0.002	0.998	0.000
rs980238 lBF = `-0.0774097` Chr`8` : `4,282,618`	0.000	0.998	0.002
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs2657195 lBF = `0.00307021` Chr`8` : `92,559,915`	0.000	0.998	0.002
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.001	0.998	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.000	0.998	0.002
rs11558471 lBF = `12.8635` Chr`8` : `118,185,733`	0.000	0.998	0.002
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.002	0.998	0.000
rs11991744 lBF = `0.00178314` Chr`8` : `124,659,329`	0.002	0.998	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.998	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.002	0.998	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.001	0.998	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.001	0.999	0.000
rs4871297 lBF = `-0.0107637` Chr`8` : `123,706,155`	0.001	0.999	0.000
rs13269021 lBF = `-0.031375` Chr`8` : `6,396,763`	0.000	0.999	0.001
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	0.999	0.001
rs7832232 lBF = `0.38776` Chr`8` : `38,469,303`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs721399 lBF = `0.0880093` Chr`8` : `18,259,366`	0.000	0.999	0.001
rs4734806 lBF = `0.0295291` Chr`8` : `105,700,680`	0.000	0.999	0.001
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.001	0.999	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.001	0.999	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.001	0.999	0.000
rs891835 lBF = `-0.0306317` Chr`8` : `130,491,752`	0.001	0.999	0.000
rs11989782 lBF = `-0.0632344` Chr`8` : `121,694,650`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	0.999	0.001
rs2128382 lBF = `-0.0362157` Chr`8` : `130,820,039`	0.000	0.999	0.001
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.001	0.999	0.000
rs2466035 lBF = `0.0722241` Chr`8` : `128,211,229`	0.001	0.999	0.000
rs62505227 lBF = `0.222927` Chr`8` : `40,287,249`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.001	0.999	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.001	0.999	0.000
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rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	0.999	0.001
rs7815788 lBF = `-0.0302359` Chr`8` : `57,179,020`	0.000	0.999	0.001
rs12681420 lBF = `-0.0543937` Chr`8` : `71,593,198`	0.000	0.999	0.001
rs7000921 lBF = `-0.0634135` Chr`8` : `20,393,206`	0.001	0.999	0.000
rs408506 lBF = `7.71018` Chr`8` : `109,154,233`	0.000	0.999	0.001
rs7009110 lBF = `4.68843` Chr`8` : `81,291,879`	0.000	0.999	0.001
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	0.999	0.000
rs13263959 lBF = `0.166306` Chr`8` : `142,632,315`	0.000	0.999	0.001
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	0.999	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.001	0.999	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.000	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	0.999	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	0.999	0.001
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.000	0.999	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.000	0.999	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	0.999	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.000	0.999	0.001
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.999	0.000
rs10956483 lBF = `0.0260254` Chr`8` : `130,572,110`	0.000	0.999	0.000
rs79076257 lBF = `-0.055238` Chr`8` : `110,244,623`	0.000	0.999	0.000
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.001	0.999	0.000
rs6577655 lBF = `-0.0824192` Chr`8` : `135,593,725`	0.000	0.999	0.001
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.999	0.001
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	0.999	0.000
rs677330 lBF = `8.55621` Chr`8` : `109,177,572`	0.000	0.999	0.001
rs1059611 lBF = `3.30576` Chr`8` : `19,824,563`	0.000	0.999	0.000
rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.001	0.999	0.000
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.001	0.999	0.000
rs12678919 lBF = `1.74917` Chr`8` : `19,844,222`	0.000	0.999	0.000
rs10503669 lBF = `1.21694` Chr`8` : `19,847,690`	0.000	0.999	0.000
rs2517388 lBF = `0.210378` Chr`8` : `37,977,732`	0.001	0.999	0.000
rs3739262 lBF = `0.0702267` Chr`8` : `134,205,713`	0.000	0.999	0.001
rs77913157 lBF = `0.00320006` Chr`8` : `19,949,198`	0.000	0.999	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.000	0.999	0.000
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	0.999	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	0.999	0.000
rs10095849 lBF = `-0.0514005` Chr`8` : `39,408,586`	0.000	0.999	0.001
rs12676170 lBF = `-0.0817959` Chr`8` : `15,197,417`	0.000	0.999	0.001
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	0.999	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.000	0.999	0.000
rs10097669 lBF = `0.53036` Chr`8` : `4,437,465`	0.000	0.999	0.001
rs10102274 lBF = `0.521114` Chr`8` : `91,652,087`	0.000	0.999	0.000
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	0.999	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	0.999	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	0.999	0.000
rs7818688 lBF = `-0.0221357` Chr`8` : `96,024,082`	0.000	0.999	0.000
rs9314308 lBF = `-0.0247094` Chr`8` : `25,544,679`	0.000	0.999	0.001
rs2251301 lBF = `-0.0460862` Chr`8` : `11,119,037`	0.000	0.999	0.000
rs1349547 lBF = `-0.0562944` Chr`8` : `39,548,378`	0.001	0.999	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	0.999	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.000	0.999	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	0.999	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.000	0.999	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	0.999	0.000
rs4427170 lBF = `0.403292` Chr`8` : `14,853,781`	0.000	0.999	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	0.999	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	0.999	0.000
rs2197089 lBF = `0.0117238` Chr`8` : `19,826,373`	0.000	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	0.999	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	0.999	0.000
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.000	0.999	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	0.999	0.000
rs7815909 lBF = `-0.0384843` Chr`8` : `57,200,362`	0.000	0.999	0.000
rs2926702 lBF = `-0.0508769` Chr`8` : `71,167,994`	0.000	0.999	0.000
rs3870371 lBF = `-0.0683153` Chr`8` : `122,697,132`	0.000	0.999	0.000
rs7841806 lBF = `-0.0900559` Chr`8` : `140,335,814`	0.000	0.999	0.000
rs13251954 lBF = `-0.131242` Chr`8` : `28,995,022`	0.000	0.999	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.000	1.000	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	1.000	0.000
rs12679857 lBF = `1.94203` Chr`8` : `119,977,337`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.000	1.000	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	1.000	0.000
rs4596632 lBF = `0.305403` Chr`8` : `132,353,735`	0.000	1.000	0.000
rs569214 lBF = `0.304049` Chr`8` : `27,487,790`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs1484642 lBF = `-0.00808999` Chr`8` : `9,986,655`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	1.000	0.000
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.000	1.000	0.000
rs6469656 lBF = `-0.0614109` Chr`8` : `117,647,788`	0.000	1.000	0.000
rs6559140 lBF = `-0.0639266` Chr`8` : `6,152,919`	0.000	1.000	0.000
rs7463256 lBF = `-0.098473` Chr`8` : `23,101,620`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.000	1.000	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	1.000	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	1.000	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5431

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3715

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1022

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9604

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9564

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9553

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9517

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9421

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9408

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9366

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9343

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9335

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9305

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9151

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9140

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9106

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9070

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8986

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8722

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8658

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8616

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8614

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8595

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8559

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8511

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8474

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8394

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8388

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8326

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8326

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8283

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8259

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8232

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8162

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8145

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8072

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8032

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7819

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7810

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7719

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7681

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7571

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7512

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7482

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7324

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7301

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7276

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7210

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7180

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7171

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7123

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7067

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7051

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7041

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7040

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6980

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6966

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6946

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6831

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6652

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6636

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6630

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6474

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6440

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6439

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6237

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6216

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6205

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6188

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6087

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6040

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5697

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5671

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5670

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5456

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5342

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5335

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5216

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5175

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5143

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5044

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4755

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4727

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4679

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4398

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4392

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4206

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4204

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4196

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3830

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3706

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3349

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3160

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3083

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3039

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2984

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2842

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2828

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2795

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2736

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2710

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2681

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2672

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2662

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2621

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2556

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2456

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2340

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2159

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2153

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2124

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2092

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2007

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1994

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1949

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1704

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1653

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1308

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1230

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1191

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1191

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1076

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1004

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0905

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0638

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0569

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`)