TreeWAS – [Z90.6] Acquired absence of other parts of urinary tract

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`	0.813	0.187	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.805	0.195	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.800	0.200	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.785	0.215	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.784	0.216	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.781	0.219	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.772	0.228	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.766	0.233	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.681	0.318	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.656	0.344	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.643	0.357	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.641	0.359	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.634	0.366	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.613	0.387	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.594	0.406	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.432	0.568
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.565	0.435	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.548	0.452	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.454	0.546
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.542	0.458	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.509	0.490	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.500	0.500	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.478	0.522	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.475	0.525	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.463	0.537	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.455	0.545	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.454	0.546	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.449	0.551	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.402	0.598	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.396	0.604	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.382	0.618	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.382	0.618	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.380	0.620	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.348	0.652	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.347	0.653	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.346	0.654	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.330	0.670	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.319	0.681	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.313	0.687	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.291	0.709	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.276	0.724	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.271	0.729	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.264	0.736	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.263	0.736	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.242	0.757	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.229	0.771	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.226	0.774	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.218	0.782	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.213	0.786	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.213	0.787	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.202	0.798	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.202	0.798	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.200	0.800	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.200	0.800	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.188	0.812	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.185	0.815	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.175	0.825	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.163	0.836	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.163	0.837	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.162	0.837	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.158	0.842	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.158	0.842	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.154	0.846	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.147	0.853	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.139	0.861	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.136	0.864	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.133	0.866	0.001
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.121	0.879	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.119	0.881	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.116	0.883	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.089	0.911	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.086	0.914	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.918	0.082
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.082	0.918	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.071	0.929	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.071	0.929	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.069	0.930	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.067	0.933	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.064	0.936	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.063	0.937	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.060	0.940	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.056	0.944	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.051	0.949	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.049	0.951	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.045	0.955	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.044	0.956	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.037	0.963	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.036	0.964	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.035	0.965	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.035	0.965	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.031	0.969	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.026	0.974	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.023	0.977	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.016	0.984	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.986	0.014
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.013	0.987	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.013	0.987	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.013	0.987	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	0.988	0.012
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.011	0.989	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.989	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.009	0.991	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.009	0.991	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.008	0.992	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.008	0.992	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.007	0.993	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.005	0.995	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.004	0.996	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.004	0.996	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.004	0.996	0.000
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.004	0.996	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.000	0.997	0.003
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	0.997	0.003
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.003	0.997	0.000
rs6981992 lBF = `-0.0112274` Chr`8` : `66,463,478`	0.000	0.997	0.003
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.997	0.000
rs3134353 lBF = `-0.038683` Chr`8` : `101,947,453`	0.000	0.997	0.003
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.002	0.997	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.002	0.998	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.002	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.998	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs12155623 lBF = `-0.0839085` Chr`8` : `49,812,201`	0.002	0.998	0.000
rs2741335 lBF = `-0.0522161` Chr`8` : `27,337,791`	0.002	0.998	0.000
rs10808739 lBF = `-0.0697806` Chr`8` : `65,640,260`	0.002	0.998	0.000
rs4534106 lBF = `-0.0730172` Chr`8` : `108,789,816`	0.002	0.998	0.000
rs3793427 lBF = `-0.0555615` Chr`8` : `17,143,830`	0.002	0.998	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.998	0.002
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.001	0.998	0.000
rs17068510 lBF = `-0.00515294` Chr`8` : `3,863,111`	0.000	0.998	0.002
rs1693575 lBF = `-0.087782` Chr`8` : `101,682,777`	0.000	0.998	0.002
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.002	0.998	0.000
rs2946505 lBF = `-0.0713648` Chr`8` : `12,811,152`	0.000	0.998	0.002
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.001	0.998	0.000
rs10504861 lBF = `0.222342` Chr`8` : `89,547,932`	0.002	0.998	0.000
rs11995572 lBF = `0.255395` Chr`8` : `89,592,083`	0.002	0.998	0.000
rs1461729 lBF = `0.0670221` Chr`8` : `9,187,242`	0.002	0.998	0.000
rs2235121 lBF = `-0.0708654` Chr`8` : `2,040,104`	0.002	0.998	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.001	0.999	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.001	0.999	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.000	0.999	0.001
rs7819570 lBF = `0.174807` Chr`8` : `89,588,626`	0.001	0.999	0.000
rs7838490 lBF = `0.154765` Chr`8` : `89,585,048`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs7844723 lBF = `-0.113925` Chr`8` : `122,908,503`	0.001	0.999	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.001	0.999	0.000
rs6989684 lBF = `-0.00918676` Chr`8` : `120,143,039`	0.001	0.999	0.000
rs58605417 lBF = `0.0597869` Chr`8` : `89,294,322`	0.000	0.999	0.001
rs17362923 lBF = `0.0307391` Chr`8` : `5,546,824`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs591323 lBF = `-0.0377273` Chr`8` : `16,697,091`	0.000	0.999	0.001
rs7825175 lBF = `0.161327` Chr`8` : `32,416,274`	0.001	0.999	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.001
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.001	0.999	0.000
rs11991744 lBF = `0.00178314` Chr`8` : `124,659,329`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	0.999	0.001
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs10954808 lBF = `0.0319808` Chr`8` : `31,479,623`	0.000	0.999	0.001
rs6472155 lBF = `0.176679` Chr`8` : `65,730,207`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.000	0.999	0.001
rs1962772 lBF = `0.0489516` Chr`8` : `17,370,776`	0.001	0.999	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.000	0.999	0.001
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs17232789 lBF = `-0.0673264` Chr`8` : `122,622,500`	0.000	0.999	0.001
rs6988229 lBF = `-0.0887463` Chr`8` : `139,884,509`	0.001	0.999	0.000
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
rs188858915 lBF = `0` Chr`8` : `6,494,833`	0.001	0.999	0.001
rs144222594 lBF = `0` Chr`8` : `12,931,504`	0.001	0.999	0.001
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rs641525 lBF = `0.0234936` Chr`8` : `2,740,502`	0.000	1.000	0.000
rs7818688 lBF = `-0.0221357` Chr`8` : `96,024,082`	0.000	1.000	0.000
rs4236709 lBF = `-0.0309197` Chr`8` : `32,410,110`	0.000	1.000	0.000
rs7008026 lBF = `-0.0355462` Chr`8` : `70,950,280`	0.000	1.000	0.000
rs80018415 lBF = `-0.0366853` Chr`8` : `133,916,799`	0.000	1.000	0.000
rs17217757 lBF = `-0.0403255` Chr`8` : `106,613,321`	0.000	1.000	0.000
rs2943559 lBF = `-0.0440886` Chr`8` : `76,417,937`	0.000	1.000	0.000
rs11774212 lBF = `-0.0467484` Chr`8` : `145,686,505`	0.000	1.000	0.000
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.000	1.000	0.000
rs13279799 lBF = `-0.0725572` Chr`8` : `117,541,607`	0.000	1.000	0.000
rs998731 lBF = `-0.0793837` Chr`8` : `81,095,395`	0.000	1.000	0.000
rs1013209 lBF = `-0.0833888` Chr`8` : `24,116,304`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	1.000	0.000
rs10504906 lBF = `0.0985992` Chr`8` : `92,418,628`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs1379326 lBF = `-0.0103528` Chr`8` : `4,617,810`	0.000	1.000	0.000
rs7003550 lBF = `-0.0225117` Chr`8` : `135,850,898`	0.000	1.000	0.000
rs3763558 lBF = `-0.0260521` Chr`8` : `97,796,731`	0.000	1.000	0.000
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.000	1.000	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs4871750 lBF = `2.92135` Chr`8` : `127,902,003`	0.000	1.000	0.000
rs7832552 lBF = `0.545151` Chr`8` : `110,115,676`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs7387468 lBF = `-0.0269339` Chr`8` : `94,358,098`	0.000	1.000	0.000
rs7820838 lBF = `-0.03659` Chr`8` : `32,405,979`	0.000	1.000	0.000
rs11166629 lBF = `-0.0444364` Chr`8` : `135,636,964`	0.000	1.000	0.000
rs12541437 lBF = `-0.072864` Chr`8` : `117,918,897`	0.000	1.000	0.000
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	1.000	0.000
rs7000447 lBF = `-0.0862948` Chr`8` : `131,523,283`	0.000	1.000	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.000	1.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs2912522 lBF = `7.07022` Chr`8` : `69,992,380`	0.000	1.000	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs4735053 lBF = `5.21769` Chr`8` : `109,260,776`	0.000	1.000	0.000
rs6983473 lBF = `0.367125` Chr`8` : `27,905,888`	0.000	1.000	0.000
rs1375785 lBF = `0.185641` Chr`8` : `83,991,231`	0.000	1.000	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs4909801 lBF = `0.00751066` Chr`8` : `135,879,159`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.000	1.000	0.000
rs3864663 lBF = `-0.0649529` Chr`8` : `78,680,349`	0.000	1.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	1.000	0.000
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	0.000	1.000	0.000
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.000	1.000	0.000
rs2645430 lBF = `0.899183` Chr`8` : `11,659,109`	0.000	1.000	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.000	1.000	0.000
rs10503253 lBF = `0.605522` Chr`8` : `4,180,844`	0.000	1.000	0.000
rs12680842 lBF = `0.0437133` Chr`8` : `95,582,606`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs17412740 lBF = `-0.0262207` Chr`8` : `20,246,758`	0.000	1.000	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	1.000	0.000
rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	0.000	1.000	0.000
rs7823498 lBF = `-0.037933` Chr`8` : `32,403,573`	0.000	1.000	0.000
rs10095849 lBF = `-0.0514005` Chr`8` : `39,408,586`	0.000	1.000	0.000
rs7818948 lBF = `21.8594` Chr`8` : `101,062,888`	0.000	1.000	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.000	1.000	0.000
rs2121904 lBF = `5.84292` Chr`8` : `109,379,633`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.000	1.000	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.000	1.000	0.000
rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs2122469 lBF = `0.150923` Chr`8` : `20,626,321`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs7833986 lBF = `0.0179907` Chr`8` : `57,100,149`	0.000	1.000	0.000
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs1484642 lBF = `-0.00808999` Chr`8` : `9,986,655`	0.000	1.000	0.000
rs76070545 lBF = `-0.010697` Chr`8` : `104,371,447`	0.000	1.000	0.000
rs4875320 lBF = `-0.0133141` Chr`8` : `4,164,013`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs9297357 lBF = `-0.0403271` Chr`8` : `106,142,333`	0.000	1.000	0.000
rs16906415 lBF = `-0.0501785` Chr`8` : `137,850,011`	0.000	1.000	0.000
rs11786458 lBF = `-0.0542127` Chr`8` : `40,252,701`	0.000	1.000	0.000
rs11989782 lBF = `-0.0632344` Chr`8` : `121,694,650`	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

0.7621

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3960

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9992

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9991

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9972

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9829

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9803

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9800

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9791

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9694

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9639

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9629

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9604

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9540

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9308

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9257

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9124

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9089

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9077

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9062

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9053

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9036

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8840

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8824

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8722

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8718

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8584

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8543

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8520

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8424

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7861

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7852

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7727

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7720

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7691

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7496

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7363

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7295

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7258

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7217

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7030

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6939

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6654

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6653

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6505

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6448

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6372

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6005

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5941

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5583

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5395

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4660

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4507

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4435

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4337

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4149

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4104

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3843

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3570

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3417

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3254

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3214

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2630

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2587

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2512

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2302

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2211

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2201

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2077

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1790

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1757

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1752

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1709

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1565

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1452

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1386

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1261

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1227

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1081

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0968

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0887

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0842

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0694

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0618

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0582

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0542

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0533

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0510

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`)