TreeWAS – [Z84.1] Family history of disorders of the kidney and ureter

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`	0.514	0.485	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
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.514	0.486	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	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
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.514	0.486	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.514	0.486	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.513	0.486	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.513	0.487	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.513	0.487	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.513	0.487	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.513	0.487	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	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
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.512	0.488	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.512	0.488	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.512	0.488	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.511	0.489	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.511	0.489	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.511	0.489	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.510	0.490	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
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.504	0.496	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.497	0.503	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.495	0.505	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.494	0.505	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.494	0.506	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.491	0.509	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
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.463	0.537	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.456	0.544	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.455	0.545	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.454	0.545	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.443	0.557	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.429	0.570	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.427	0.573	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.395	0.605	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`	0.325	0.675	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.319	0.681	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.313	0.686	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
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.274	0.726	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.272	0.728	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.260	0.740	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.258	0.742	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.251	0.749	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.246	0.754	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.245	0.755	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.241	0.759	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.239	0.761	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.238	0.762	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.232	0.768	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.212	0.788	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`	0.208	0.792	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.201	0.799	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.184	0.816	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
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.160	0.840	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`	0.126	0.874	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.125	0.875	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.122	0.878	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.120	0.880	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.118	0.881	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.114	0.886	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.105	0.895	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.102	0.898	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.090	0.910	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.081	0.918	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.922	0.078
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.062	0.938	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.054	0.945	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.051	0.949	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`	0.044	0.956	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.039	0.961	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	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
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.027	0.972	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.027	0.973	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.026	0.974	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.025	0.974	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.024	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`	0.020	0.979	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.019	0.980	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.018	0.982	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.017	0.983	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.016	0.984	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	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`	0.015	0.985	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.014	0.986	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.011	0.988	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.011	0.989	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.010	0.989	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.990	0.010
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.010	0.990	0.000
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
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.009	0.990	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	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
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.006	0.994	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
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.004	0.995	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.004	0.996	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.004	0.996	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.003	0.996	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	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
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.002	0.998	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.002	0.998	0.000
rs4493873 lBF = `-0.0878362` Chr`8` : `92,075,643`	0.000	0.998	0.002
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	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
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs11782824 lBF = `-0.0785949` Chr`8` : `38,781,040`	0.000	0.998	0.002
rs11989868 lBF = `-0.0864361` Chr`8` : `14,550,156`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.001
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.001	0.999	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.001	0.999	0.000
rs2645430 lBF = `0.899183` Chr`8` : `11,659,109`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs11250099 lBF = `8.18578` Chr`8` : `10,818,657`	0.001	0.999	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.001	0.999	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs2977125 lBF = `0.159036` Chr`8` : `12,773,256`	0.000	0.999	0.001
rs7006290 lBF = `-0.0791238` Chr`8` : `41,615,138`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	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
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
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
rs113414285 lBF = `0` Chr`8` : `24,395,263`	0.001	0.999	0.001
rs182838111 lBF = `0` Chr`8` : `67,889,470`	0.001	0.999	0.001
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
rs182387400 lBF = `0` Chr`8` : `25,129,708`	0.001	0.999	0.001
rs192074192 lBF = `0` Chr`8` : `73,025,833`	0.001	0.999	0.001
rs147851892 lBF = `0` Chr`8` : `24,234,355`	0.001	0.999	0.001
rs143335239 lBF = `0` Chr`8` : `6,500,809`	0.001	0.999	0.001
rs75455452 lBF = `0` Chr`8` : `72,991,580`	0.001	0.999	0.001
rs147852159 lBF = `0` Chr`8` : `146,171,164`	0.001	0.999	0.001
rs188858915 lBF = `0` Chr`8` : `6,494,833`	0.001	0.999	0.001
rs189590409 lBF = `0` Chr`8` : `114,727,602`	0.001	0.999	0.001
rs144222594 lBF = `0` Chr`8` : `12,931,504`	0.001	0.999	0.001
rs76547188 lBF = `0` Chr`8` : `21,978,372`	0.001	0.999	0.001
rs191935895 lBF = `0` Chr`8` : `5,267,311`	0.001	0.999	0.001
rs116041037 lBF = `0` Chr`8` : `128,131,809`	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
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
rs16902104 lBF = `0` Chr`8` : `128,340,908`	0.001	0.999	0.001
rs183191361 lBF = `0` Chr`8` : `76,083,247`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	0.001	0.999	0.001
rs182115318 lBF = `0` Chr`8` : `25,128,723`	0.001	0.999	0.001
rs182302106 lBF = `0` Chr`8` : `1,455,175`	0.001	0.999	0.001
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rs11998649 lBF = `0.0383106` Chr`8` : `22,619,551`	0.000	0.999	0.000
rs10954808 lBF = `0.0319808` Chr`8` : `31,479,623`	0.000	0.999	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.999	0.000
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	0.999	0.000
rs11995824 lBF = `0.00378026` Chr`8` : `120,012,700`	0.000	0.999	0.000
rs11986414 lBF = `-0.00590791` Chr`8` : `1,746,950`	0.000	0.999	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	0.999	0.000
rs3105169 lBF = `-0.0153825` Chr`8` : `100,495,639`	0.000	0.999	0.000
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.000	0.999	0.000
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.000	0.999	0.000
rs13272568 lBF = `-0.0313162` Chr`8` : `79,034,459`	0.000	0.999	0.000
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	0.999	0.000
rs4738873 lBF = `-0.0431328` Chr`8` : `62,086,176`	0.000	0.999	0.000
rs13278062 lBF = `-0.0502859` Chr`8` : `23,082,971`	0.000	0.999	0.000
rs17669535 lBF = `-0.0535021` Chr`8` : `1,244,224`	0.000	0.999	0.000
rs11777345 lBF = `-0.0602902` Chr`8` : `5,426,531`	0.000	0.999	0.000
rs2565065 lBF = `-0.0811412` Chr`8` : `27,328,021`	0.000	0.999	0.000
rs2077212 lBF = `-0.0951277` Chr`8` : `5,982,272`	0.000	0.999	0.000
rs10109541 lBF = `-0.12609` Chr`8` : `523,920`	0.000	0.999	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	0.999	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	0.999	0.000
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	0.999	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	0.999	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.000	0.999	0.000
rs13255292 lBF = `4.14008` Chr`8` : `129,076,573`	0.000	0.999	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	0.999	0.000
rs10429371 lBF = `1.16029` Chr`8` : `89,993,488`	0.000	0.999	0.000
rs13272623 lBF = `0.830413` Chr`8` : `71,544,748`	0.000	0.999	0.000
rs2062377 lBF = `0.404128` Chr`8` : `120,007,420`	0.000	0.999	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.000	0.999	0.000
rs7004633 lBF = `0.137936` Chr`8` : `89,760,311`	0.000	0.999	0.000
rs10504906 lBF = `0.0985992` Chr`8` : `92,418,628`	0.000	0.999	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	0.999	0.000
rs6983777 lBF = `0.0402132` Chr`8` : `104,118,566`	0.000	0.999	0.000
rs3104964 lBF = `0.0342882` Chr`8` : `96,595,736`	0.000	0.999	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	0.999	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	0.999	0.000
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	0.000	0.999	0.000
rs4590408 lBF = `0.0164474` Chr`8` : `96,106,037`	0.000	0.999	0.000
rs231147 lBF = `0.00450035` Chr`8` : `116,417,563`	0.000	0.999	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	0.999	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	0.999	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	0.999	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	0.999	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	0.999	0.000
rs310558 lBF = `-0.0142371` Chr`8` : `51,412,591`	0.000	0.999	0.000
rs6999452 lBF = `-0.0453161` Chr`8` : `106,397,116`	0.000	0.999	0.000
rs13276960 lBF = `-0.0479738` Chr`8` : `103,908,004`	0.000	0.999	0.000
rs16906415 lBF = `-0.0501785` Chr`8` : `137,850,011`	0.000	0.999	0.000
rs9331896 lBF = `-0.0684502` Chr`8` : `27,467,686`	0.000	0.999	0.000
rs7017212 lBF = `-0.0777989` Chr`8` : `10,022,938`	0.000	0.999	0.000
rs12676170 lBF = `-0.0817959` Chr`8` : `15,197,417`	0.000	0.999	0.000
rs931812 lBF = `-0.0890979` Chr`8` : `101,919,321`	0.000	0.999	0.000
rs2033562 lBF = `-0.108618` Chr`8` : `103,547,739`	0.000	0.999	0.000
rs13281615 lBF = `3.28748` Chr`8` : `128,355,618`	0.000	0.999	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.000	0.999	0.000
rs1296028 lBF = `2.87067` Chr`8` : `11,698,747`	0.000	0.999	0.000
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.000	0.999	0.000
rs5003154 lBF = `1.76117` Chr`8` : `81,986,953`	0.000	0.999	0.000
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	0.000	0.999	0.000
rs853308 lBF = `1.42537` Chr`8` : `133,929,917`	0.000	0.999	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	0.999	0.000
rs17232730 lBF = `1.30095` Chr`8` : `129,537,746`	0.000	0.999	0.000
rs10091038 lBF = `0.63362` Chr`8` : `29,360,305`	0.000	0.999	0.000
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.000	0.999	0.000
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.000	0.999	0.000
rs10112574 lBF = `0.0416653` Chr`8` : `67,381,268`	0.000	0.999	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	0.999	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	0.999	0.000
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.000	0.999	0.000
rs6993270 lBF = `-0.0124426` Chr`8` : `120,941,716`	0.000	0.999	0.000
rs11779594 lBF = `-0.0141952` Chr`8` : `28,181,755`	0.000	0.999	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.000	0.999	0.000
rs1604897 lBF = `-0.0224457` Chr`8` : `122,182,310`	0.000	0.999	0.000
rs11203649 lBF = `-0.0247623` Chr`8` : `14,517,294`	0.000	0.999	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	0.999	0.000
rs13256369 lBF = `-0.0319504` Chr`8` : `8,577,379`	0.000	0.999	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	0.999	0.000
rs2137277 lBF = `-0.0357928` Chr`8` : `40,734,662`	0.000	0.999	0.000
rs2844036 lBF = `-0.0370529` Chr`8` : `101,514,577`	0.000	0.999	0.000
rs17217757 lBF = `-0.0403255` Chr`8` : `106,613,321`	0.000	0.999	0.000
rs11166629 lBF = `-0.0444364` Chr`8` : `135,636,964`	0.000	0.999	0.000
rs2979481 lBF = `-0.0576421` Chr`8` : `30,262,786`	0.000	0.999	0.000
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.000	0.999	0.000
rs1909881 lBF = `-0.0599299` Chr`8` : `96,515,888`	0.000	0.999	0.000
rs7845127 lBF = `-0.0602147` Chr`8` : `18,067,395`	0.000	0.999	0.000
rs7014900 lBF = `-0.0607973` Chr`8` : `115,578,307`	0.000	0.999	0.000
rs7837791 lBF = `-0.0766176` Chr`8` : `60,179,086`	0.000	0.999	0.000
rs4875053 lBF = `-0.0791384` Chr`8` : `144,872,411`	0.000	0.999	0.000
rs1390943 lBF = `-0.0869074` Chr`8` : `20,081,890`	0.000	0.999	0.000
rs11136000 lBF = `-0.0932441` Chr`8` : `27,464,519`	0.000	0.999	0.000
rs11779860 lBF = `-0.114845` Chr`8` : `98,850,330`	0.000	0.999	0.000
rs13251954 lBF = `-0.131242` Chr`8` : `28,995,022`	0.000	0.999	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.000	0.999	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	0.999	0.000
rs7818948 lBF = `21.8594` Chr`8` : `101,062,888`	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

0.5140

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3663

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0799

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8957

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7817

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7410

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7102

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7018

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6986

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6982

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6933

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6738

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6723

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6664

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6654

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6648

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6592

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6490

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6430

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6412

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6387

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6342

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6287

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6236

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6235

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6166

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6153

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6146

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6144

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6138

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6128

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6078

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6075

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6061

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6044

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5996

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5992

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5968

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5950

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5950

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5943

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5926

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5926

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5923

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5915

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5905

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5891

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5890

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5879

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5865

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5859

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5808

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5780

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5775

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5728

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5725

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5725

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5697

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5655

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5648

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5646

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5642

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5601

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5569

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5543

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5529

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5525

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5520

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5508

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5493

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5489

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5480

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5480

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5456

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5440

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5438

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5413

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5386

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5377

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5359

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5328

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5275

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5259

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5206

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5145

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5140

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5140

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5140

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5140

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5140

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5140

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5136

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5075

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5026

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4987

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4959

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4885

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4831

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4755

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4401

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4358

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4202

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4181

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3578

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3398

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2950

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2691

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2657

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2354

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1783

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1695

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1555

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1442

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1235

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1188

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0947

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0910

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0895

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0750

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0644

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0584

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0553

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`)