TreeWAS – [R33] Retention of urine

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
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.939	0.061	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.886	0.114	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.805	0.195	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.703	0.297	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.702	0.298	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.689	0.311	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.645	0.355	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.610	0.390	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.589	0.411	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.532	0.468	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.529	0.471	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.526	0.474	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.526	0.474	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.517	0.483	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.466	0.534	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.464	0.536	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.460	0.540	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.423	0.577	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.381	0.619	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.375	0.625	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.368	0.632	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.350	0.650	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.347	0.653	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.338	0.662	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.334	0.666	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.316	0.684	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.313	0.687	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.267	0.733	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.264	0.736	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.259	0.741	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.237	0.763	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.231	0.769	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.225	0.775	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.223	0.777	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.223	0.777	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.213	0.786	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.209	0.791	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.209	0.791	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.200	0.800	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.808	0.191
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.190	0.810	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.190	0.810	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.187	0.813	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.172	0.827	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.171	0.829	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.163	0.837	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.163	0.837	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.159	0.841	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.151	0.849	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.148	0.852	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.145	0.855	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.135	0.865	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.135	0.865	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.120	0.880	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.110	0.890	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.110	0.890	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.107	0.893	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.091	0.909	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.088	0.912	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.087	0.913	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.085	0.915	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.084	0.915	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.081	0.919	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.924	0.075
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.066	0.934	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.064	0.936	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.058	0.942	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.055	0.945	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.049	0.951	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.046	0.953	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.044	0.956	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.042	0.957	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.040	0.960	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.040	0.960	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.039	0.961	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.038	0.962	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.038	0.962	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.037	0.963	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.033	0.967	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.033	0.967	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.032	0.968	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.019	0.968	0.013
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.031	0.968	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.031	0.969	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.029	0.970	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.029	0.971	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.028	0.972	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.025	0.975	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.025	0.975	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.025	0.975	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.025	0.975	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.024	0.976	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.023	0.977	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.021	0.979	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.021	0.979	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.019	0.981	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.018	0.982	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.014	0.983	0.003
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.016	0.984	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.016	0.984	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.016	0.984	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.015	0.984	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.014	0.986	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.013	0.986	0.001
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.013	0.987	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.013	0.987	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.013	0.987	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.012	0.987	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.012	0.988	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.012	0.988	0.000
rs903614 lBF = `-0.0185564` Chr`8` : `119,830,680`	0.000	0.989	0.011
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.010	0.990	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.010	0.990	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.010	0.990	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.010	0.990	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.009	0.990	0.000
rs2444896 lBF = `0.266119` Chr`8` : `99,022,009`	0.000	0.991	0.009
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.008	0.992	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.008	0.992	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.007	0.992	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.007	0.993	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.007	0.993	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.007	0.993	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.006	0.994	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.006	0.994	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.006	0.994	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.005	0.994	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.006	0.994	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.005	0.995	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.005	0.995	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.005	0.995	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.005	0.995	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.004	0.996	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	0.996	0.004
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.003	0.996	0.001
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.003	0.997	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.003	0.997	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.002	0.997	0.001
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.003	0.997	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.003	0.997	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.003	0.997	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.003	0.997	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.002	0.998	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.002	0.998	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.002	0.998	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.002	0.998	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	0.998	0.002
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.002	0.998	0.000
rs56005245 lBF = `9.35561` Chr`8` : `128,113,426`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.002	0.998	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.002	0.998	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.002	0.998	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.002	0.998	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	0.998	0.002
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.001	0.999	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.001	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.001	0.999	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.001	0.999	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.001	0.999	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.001	0.999	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.000	0.999	0.001
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	0.999	0.001
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	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
rs189590409 lBF = `0` Chr`8` : `114,727,602`	0.001	0.999	0.001
rs111754512 lBF = `0` Chr`8` : `24,400,648`	0.001	0.999	0.001
rs7460090 lBF = `0` Chr`8` : `57,194,163`	0.001	0.999	0.001
rs113660214 lBF = `0` Chr`8` : `977,436`	0.001	0.999	0.001
rs147852159 lBF = `0` Chr`8` : `146,171,164`	0.001	0.999	0.001
rs201734206 lBF = `0` Chr`8` : `73,984,100`	0.001	0.999	0.001
rs192994403 lBF = `0` Chr`8` : `76,211,333`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	0.001	0.999	0.001
rs116041037 lBF = `0` Chr`8` : `128,131,809`	0.001	0.999	0.001
rs183191361 lBF = `0` Chr`8` : `76,083,247`	0.001	0.999	0.001
rs182115318 lBF = `0` Chr`8` : `25,128,723`	0.001	0.999	0.001
rs16902104 lBF = `0` Chr`8` : `128,340,908`	0.001	0.999	0.001
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rs1585518 lBF = `0.0706345` Chr`8` : `120,475,238`	0.000	1.000	0.000
rs1461729 lBF = `0.0670221` Chr`8` : `9,187,242`	0.000	1.000	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	1.000	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	1.000	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	1.000	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.000	1.000	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs6473383 lBF = `-0.0244863` Chr`8` : `83,669,120`	0.000	1.000	0.000
rs7815788 lBF = `-0.0302359` Chr`8` : `57,179,020`	0.000	1.000	0.000
rs35820208 lBF = `-0.0322041` Chr`8` : `94,916,103`	0.000	1.000	0.000
rs733254 lBF = `-0.0377205` Chr`8` : `135,638,632`	0.000	1.000	0.000
rs17373728 lBF = `-0.0670443` Chr`8` : `76,225,516`	0.000	1.000	0.000
rs4292676 lBF = `-0.069044` Chr`8` : `21,520,248`	0.000	1.000	0.000
rs12543318 lBF = `-0.117623` Chr`8` : `88,868,340`	0.000	1.000	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	1.000	0.000
rs2954033 lBF = `27.3604` Chr`8` : `126,493,746`	0.000	1.000	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.000	1.000	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	1.000	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs374810 lBF = `6.8979` Chr`8` : `109,096,029`	0.000	1.000	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.000	1.000	0.000
rs7014382 lBF = `6.1756` Chr`8` : `69,991,586`	0.000	1.000	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	1.000	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.000	1.000	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	1.000	0.000
rs13254990 lBF = `3.78886` Chr`8` : `129,076,451`	0.000	1.000	0.000
rs7816345 lBF = `1.73833` Chr`8` : `36,846,109`	0.000	1.000	0.000
rs10111661 lBF = `0.994666` Chr`8` : `20,336,573`	0.000	1.000	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.000	1.000	0.000
rs2517388 lBF = `0.210378` Chr`8` : `37,977,732`	0.000	1.000	0.000
rs7819570 lBF = `0.174807` Chr`8` : `89,588,626`	0.000	1.000	0.000
rs10102164 lBF = `0.173184` Chr`8` : `55,421,614`	0.000	1.000	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.000	1.000	0.000
rs7838490 lBF = `0.154765` Chr`8` : `89,585,048`	0.000	1.000	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	1.000	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.000	1.000	0.000
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.000	1.000	0.000
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.000	1.000	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	1.000	0.000
rs17362923 lBF = `0.0307391` Chr`8` : `5,546,824`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	1.000	0.000
rs1671400 lBF = `-0.00901045` Chr`8` : `13,176,407`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.000	1.000	0.000
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.000	1.000	0.000
rs7008026 lBF = `-0.0355462` Chr`8` : `70,950,280`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs2705293 lBF = `-0.0399492` Chr`8` : `138,918,945`	0.000	1.000	0.000
rs10098310 lBF = `-0.0420834` Chr`8` : `130,613,614`	0.000	1.000	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.000	1.000	0.000
rs7828089 lBF = `-0.106178` Chr`8` : `22,264,334`	0.000	1.000	0.000
Affx-31548678 lBF = `36.2251` Chr`8` : `128,428,638`	0.000	1.000	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.000	1.000	0.000
rs17321515 lBF = `32.222` Chr`8` : `126,486,409`	0.000	1.000	0.000
rs6982636 lBF = `31.1136` Chr`8` : `126,479,315`	0.000	1.000	0.000
rs11558471 lBF = `12.8635` Chr`8` : `118,185,733`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	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
rs408506 lBF = `7.71018` Chr`8` : `109,154,233`	0.000	1.000	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	1.000	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs7834765 lBF = `0.833868` Chr`8` : `122,275,906`	0.000	1.000	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.000	1.000	0.000
rs7832552 lBF = `0.545151` Chr`8` : `110,115,676`	0.000	1.000	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.000	1.000	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.000	1.000	0.000
rs6987004 lBF = `0.261503` Chr`8` : `34,524,003`	0.000	1.000	0.000
rs915650 lBF = `0.196888` Chr`8` : `37,657,526`	0.000	1.000	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.000	1.000	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	1.000	0.000
rs2741200 lBF = `0.163349` Chr`8` : `134,071,833`	0.000	1.000	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	1.000	0.000
rs2116078 lBF = `0.0847208` Chr`8` : `73,363,989`	0.000	1.000	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	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

0.9970

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5690

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

1.0000

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

1.0000

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9998

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9982

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9833

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9700

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9552

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9173

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8739

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4432

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2834

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2114

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1720

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1016

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0617

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0574

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`)