TreeWAS – [Z89.8] Acquired absence of upper and lower limbs [any level]

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
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.607	0.392	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.594	0.405	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.588	0.412	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.587	0.412	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.586	0.414	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.585	0.415	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.583	0.417	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.576	0.423	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.571	0.429	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.565	0.435	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.551	0.449	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.543	0.457	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.542	0.457	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.541	0.458	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.519	0.481	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.516	0.483	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.516	0.484	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.514	0.486	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.514	0.486	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.514	0.486	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.514	0.486	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.514	0.486	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.514	0.486	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.514	0.486	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.514	0.486	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.513	0.487	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.513	0.487	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.512	0.487	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.512	0.488	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
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.507	0.493	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
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.491	0.509	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.490	0.509	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.490	0.510	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.489	0.511	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.478	0.522	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.455	0.545	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.454	0.546	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.443	0.557	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.424	0.575	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.400	0.600	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.393	0.606	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.375	0.625	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.367	0.633	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.335	0.665	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.318	0.682	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.296	0.704	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.296	0.704	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.279	0.720	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.274	0.726	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.272	0.728	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.269	0.730	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.247	0.753	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.245	0.755	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.245	0.755	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.241	0.759	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.239	0.761	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.231	0.769	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.186	0.814	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.171	0.829	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.168	0.831	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.166	0.834	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.146	0.854	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.145	0.855	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.135	0.865	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.134	0.865	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.132	0.867	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.132	0.868	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.127	0.872	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.125	0.875	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.124	0.876	0.000
rs959695 lBF = `-0.0580729` Chr`8` : `100,835,182`	0.119	0.881	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.101	0.898	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.094	0.906	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.087	0.913	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.922	0.078
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.065	0.935	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.056	0.944	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.051	0.949	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.049	0.951	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.046	0.953	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.039	0.961	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
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.029	0.971	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.028	0.972	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.027	0.973	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.026	0.974	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.025	0.975	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.024	0.976	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.021	0.979	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.019	0.981	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.017	0.983	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.017	0.983	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.016	0.984	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.015	0.984	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.013	0.987	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.013	0.987	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.012	0.988	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.012	0.988	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	0.988	0.012
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.011	0.989	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
rs11786458 lBF = `-0.0542127` Chr`8` : `40,252,701`	0.000	0.991	0.008
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.008	0.992	0.000
rs13263959 lBF = `0.166306` Chr`8` : `142,632,315`	0.008	0.992	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.007	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.007	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.006	0.994	0.000
rs160451 lBF = `0.013616` Chr`8` : `90,662,941`	0.006	0.994	0.000
rs160441 lBF = `0.00901776` Chr`8` : `90,656,988`	0.006	0.994	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.005	0.995	0.001
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.005	0.995	0.000
rs7834588 lBF = `-0.055575` Chr`8` : `63,883,593`	0.005	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.005	0.995	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.005	0.995	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs231147 lBF = `0.00450035` Chr`8` : `116,417,563`	0.000	0.995	0.004
rs2444896 lBF = `0.266119` Chr`8` : `99,022,009`	0.000	0.995	0.004
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.004	0.996	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.004	0.996	0.000
rs7386474 lBF = `-0.0657204` Chr`8` : `142,359,550`	0.004	0.996	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.004	0.996	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	0.996	0.004
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.003	0.996	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.003	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs1561927 lBF = `-0.0657726` Chr`8` : `129,568,078`	0.000	0.997	0.003
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.003	0.997	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs1962772 lBF = `0.0489516` Chr`8` : `17,370,776`	0.003	0.997	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.997	0.000
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	0.997	0.002
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.002	0.998	0.000
rs11776272 lBF = `-0.0067885` Chr`8` : `21,884,544`	0.002	0.998	0.000
rs6982502 lBF = `30.0104` Chr`8` : `126,479,362`	0.000	0.998	0.002
rs2001945 lBF = `27.7438` Chr`8` : `126,477,978`	0.000	0.998	0.002
rs1462872 lBF = `0.00560054` Chr`8` : `31,794,109`	0.000	0.998	0.002
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.000	0.998	0.002
rs2001846 lBF = `27.8908` Chr`8` : `126,478,450`	0.002	0.998	0.000
rs3110127 lBF = `-0.0627965` Chr`8` : `60,130,296`	0.002	0.998	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.002	0.998	0.000
rs10112481 lBF = `-0.0145767` Chr`8` : `4,875,172`	0.002	0.998	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs6982636 lBF = `31.1136` Chr`8` : `126,479,315`	0.002	0.998	0.000
rs2980879 lBF = `27.5408` Chr`8` : `126,481,475`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs2235121 lBF = `-0.0708654` Chr`8` : `2,040,104`	0.000	0.998	0.002
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs12541437 lBF = `-0.072864` Chr`8` : `117,918,897`	0.002	0.998	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.002	0.998	0.000
rs2137277 lBF = `-0.0357928` Chr`8` : `40,734,662`	0.000	0.998	0.002
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.002	0.998	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.002	0.998	0.000
rs2954026 lBF = `24.8282` Chr`8` : `126,484,526`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs920590 lBF = `-0.0513113` Chr`8` : `19,651,161`	0.000	0.998	0.002
rs2638663 lBF = `0.0226118` Chr`8` : `18,673,731`	0.000	0.998	0.002
rs3019286 lBF = `0.0717552` Chr`8` : `99,895,405`	0.002	0.998	0.000
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.000	0.998	0.002
rs12543592 lBF = `-0.0469522` Chr`8` : `123,511,652`	0.000	0.998	0.002
rs1870805 lBF = `-0.10755` Chr`8` : `140,995,243`	0.000	0.998	0.002
rs1895885 lBF = `-0.102059` Chr`8` : `53,010,530`	0.000	0.998	0.002
rs3849811 lBF = `-0.102385` Chr`8` : `53,010,152`	0.000	0.998	0.001
rs3892512 lBF = `-0.102026` Chr`8` : `53,010,163`	0.000	0.998	0.001
rs7840202 lBF = `-0.0841914` Chr`8` : `103,308,400`	0.001	0.998	0.000
rs2954033 lBF = `27.3604` Chr`8` : `126,493,746`	0.000	0.998	0.001
rs2954020 lBF = `28.9243` Chr`8` : `126,481,952`	0.000	0.999	0.001
rs1983474 lBF = `-0.088099` Chr`8` : `4,403,586`	0.001	0.999	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.999	0.000
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.000	0.999	0.001
rs2954029 lBF = `31.8759` Chr`8` : `126,490,972`	0.001	0.999	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.999	0.001
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.001	0.999	0.000
rs56292044 lBF = `0.784944` Chr`8` : `138,776,547`	0.000	0.999	0.001
rs2162460 lBF = `5.78382` Chr`8` : `59,331,781`	0.001	0.999	0.000
rs9693444 lBF = `-0.0637502` Chr`8` : `29,509,616`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
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rs12679254 lBF = `0.359215` Chr`8` : `74,274,191`	0.001	0.999	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	0.999	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.001	0.999	0.000
rs984440 lBF = `-0.0265342` Chr`8` : `139,077,728`	0.000	0.999	0.001
rs7011507 lBF = `-0.0303419` Chr`8` : `49,129,242`	0.001	0.999	0.000
rs2705293 lBF = `-0.0399492` Chr`8` : `138,918,945`	0.000	0.999	0.001
rs13253073 lBF = `-0.0602241` Chr`8` : `100,897,383`	0.001	0.999	0.000
rs6984449 lBF = `-0.0801544` Chr`8` : `19,327,959`	0.001	0.999	0.000
rs40457 lBF = `-0.0964489` Chr`8` : `90,823,687`	0.000	0.999	0.001
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	0.999	0.000
rs6987004 lBF = `0.261503` Chr`8` : `34,524,003`	0.001	0.999	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.001	0.999	0.000
rs11777116 lBF = `0.029769` Chr`8` : `24,044,301`	0.001	0.999	0.000
rs10108684 lBF = `0.0286393` Chr`8` : `123,973,068`	0.001	0.999	0.000
rs1364705 lBF = `0.0243758` Chr`8` : `120,224,806`	0.001	0.999	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.001	0.999	0.000
rs1566080 lBF = `-0.0134141` Chr`8` : `142,556,805`	0.000	0.999	0.001
rs591323 lBF = `-0.0377273` Chr`8` : `16,697,091`	0.001	0.999	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	0.999	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	0.999	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	0.999	0.000
rs2019960 lBF = `0.040114` Chr`8` : `129,192,271`	0.000	0.999	0.000
rs1036821 lBF = `-0.0350258` Chr`8` : `135,650,483`	0.000	0.999	0.000
rs7000921 lBF = `-0.0634135` Chr`8` : `20,393,206`	0.000	0.999	0.000
rs4392868 lBF = `-0.0926351` Chr`8` : `96,120,072`	0.000	0.999	0.000
rs2449202 lBF = `-0.111218` Chr`8` : `3,507,129`	0.000	0.999	0.001
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.000	0.999	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	0.999	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	0.999	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	0.999	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	0.999	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	0.999	0.000
rs13273891 lBF = `-0.032508` Chr`8` : `58,986,459`	0.000	0.999	0.000
rs10503672 lBF = `-0.0327502` Chr`8` : `19,987,703`	0.000	0.999	0.000
rs7845056 lBF = `-0.0518936` Chr`8` : `143,020,731`	0.000	0.999	0.000
rs42490 lBF = `-0.106832` Chr`8` : `90,778,513`	0.000	0.999	0.001
rs655028 lBF = `20.4236` Chr`8` : `70,049,047`	0.000	0.999	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	0.999	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	0.999	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.000	0.999	0.000
rs17394429 lBF = `0.751011` Chr`8` : `3,316,986`	0.000	0.999	0.000
rs2450083 lBF = `0.118062` Chr`8` : `120,063,542`	0.001	0.999	0.000
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.001	0.999	0.000
rs11784536 lBF = `0.0764394` Chr`8` : `144,839,147`	0.000	0.999	0.000
rs7833986 lBF = `0.0179907` Chr`8` : `57,100,149`	0.000	0.999	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	0.999	0.000
rs12546767 lBF = `-0.0108878` Chr`8` : `126,082,565`	0.000	0.999	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	0.999	0.000
rs11989782 lBF = `-0.0632344` Chr`8` : `121,694,650`	0.000	0.999	0.000
rs383592 lBF = `-0.0854935` Chr`8` : `90,804,328`	0.000	0.999	0.001
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	0.999	0.000
rs10503779 lBF = `14.6968` Chr`8` : `25,743,428`	0.000	0.999	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	0.999	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.001	0.999	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	0.999	0.000
rs16935518 lBF = `5.2746` Chr`8` : `70,006,868`	0.000	0.999	0.000
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	0.999	0.000
rs1903595 lBF = `0.0891305` Chr`8` : `14,389,481`	0.000	0.999	0.000
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.000	0.999	0.000
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	0.000	0.999	0.000
rs13278849 lBF = `-0.0547562` Chr`8` : `26,714,874`	0.001	0.999	0.000
rs2950160 lBF = `-0.0768393` Chr`8` : `4,420,188`	0.000	0.999	0.000
rs2121904 lBF = `5.84292` Chr`8` : `109,379,633`	0.000	0.999	0.000
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.000	0.999	0.000
rs11995854 lBF = `0.120065` Chr`8` : `129,220,073`	0.000	0.999	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.999	0.000
rs16886173 lBF = `-0.0385252` Chr`8` : `115,620,460`	0.000	0.999	0.000
rs2840445 lBF = `-0.050982` Chr`8` : `5,764,942`	0.000	0.999	0.000
rs12542759 lBF = `-0.0740763` Chr`8` : `133,034,837`	0.000	0.999	0.000
rs10103155 lBF = `23.4513` Chr`8` : `25,727,902`	0.000	0.999	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	0.999	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.000	0.999	0.000
rs6473223 lBF = `6.12391` Chr`8` : `81,268,155`	0.000	0.999	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	0.999	0.000
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.000	0.999	0.000
rs2930491 lBF = `1.29978` Chr`8` : `107,842,294`	0.000	0.999	0.000
rs2293889 lBF = `0.741129` Chr`8` : `116,599,199`	0.000	0.999	0.000
rs62505227 lBF = `0.222927` Chr`8` : `40,287,249`	0.000	0.999	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.000	0.999	0.000
rs2439302 lBF = `0.0218333` Chr`8` : `32,432,369`	0.000	0.999	0.000
rs3764796 lBF = `0.00828194` Chr`8` : `17,157,677`	0.000	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.000
rs6981717 lBF = `-0.00626097` Chr`8` : `89,188,454`	0.000	0.999	0.000
rs13268726 lBF = `-0.0085601` Chr`8` : `126,013,134`	0.000	0.999	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	0.999	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	0.999	0.000
rs2046180 lBF = `-0.0951139` Chr`8` : `74,685,404`	0.000	0.999	0.000
rs11779860 lBF = `-0.114845` Chr`8` : `98,850,330`	0.000	0.999	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	0.999	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.000	0.999	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.000	0.999	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	0.999	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	0.999	0.000
rs6601530 lBF = `1.87772` Chr`8` : `10,671,272`	0.000	0.999	0.000
rs367543 lBF = `1.4055` Chr`8` : `9,034,148`	0.000	0.999	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	0.999	0.000
rs72725879 lBF = `0.286854` Chr`8` : `128,103,969`	0.000	0.999	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

0.4299

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2889

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1315

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7168

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7168

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7167

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7167

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7167

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7167

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7166

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7166

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7166

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7165

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7162

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7160

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7158

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7156

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7154

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7154

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7151

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7150

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7149

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7143

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7141

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7138

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7137

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7135

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7135

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7133

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7128

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7120

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7116

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7114

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7113

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7108

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7100

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7096

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7091

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7088

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7084

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7083

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7079

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7075

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7075

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7064

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7046

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7042

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7036

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7033

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7032

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7026

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7019

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7018

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7015

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7000

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6998

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6989

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6976

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6975

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6972

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6967

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6966

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6955

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6952

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6949

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6930

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6917

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6913

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6909

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6876

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6872

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6852

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6840

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6836

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6815

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6812

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6752

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6737

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6730

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6720

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6709

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6709

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6689

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6682

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6680

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6679

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6673

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6652

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6615

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6588

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6559

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6502

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6396

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6286

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6243

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6214

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6209

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6203

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6188

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6168

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6016

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5996

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5923

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5882

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5743

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5683

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5569

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5553

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5494

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5424

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5342

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5332

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5284

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5020

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4710

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4179

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4143

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4047

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3942

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3320

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3209

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3197

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2570

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2410

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2203

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2161

Cluster X0216

log Bayes Factor = 162.135

contains 6 variants

0.1790

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1456

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1311

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1252

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1225

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1192

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1048

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0871

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0839

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0799

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0661

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`)