TreeWAS – [N17.2] Acute renal failure with medullary necrosis

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
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.704	0.296	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.699	0.301	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.691	0.309	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.681	0.319	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.678	0.322	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.675	0.325	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.673	0.327	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.643	0.356	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.634	0.366	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.631	0.369	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.627	0.373	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.625	0.375	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.625	0.375	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.606	0.394	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.600	0.400	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.598	0.401	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.593	0.407	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.591	0.409	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.585	0.414	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.581	0.419	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.581	0.419	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.577	0.423	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.558	0.442	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.542	0.458	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.536	0.464	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.529	0.471	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.524	0.475	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.520	0.480	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.514	0.486	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.506	0.493	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.506	0.494	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.506	0.494	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.505	0.495	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.502	0.498	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.501	0.499	0.000
rs13398848 lBF = `1.1051` Chr`2` : `84,245,168`	0.494	0.505	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.494	0.505	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.493	0.507	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.483	0.516	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.476	0.524	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.476	0.524	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.472	0.528	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.468	0.532	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.467	0.533	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.456	0.544	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.455	0.544	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.453	0.547	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.445	0.555	0.000
rs187076367 lBF = `2.26739` Chr`2` : `175,636,914`	0.438	0.562	0.000
rs191975838 lBF = `4.25389` Chr`2` : `52,121,667`	0.425	0.574	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.417	0.583	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.415	0.585	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.414	0.586	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.414	0.586	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.413	0.587	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.410	0.590	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.407	0.592	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.402	0.598	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.400	0.600	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.397	0.603	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.391	0.609	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.389	0.610	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.389	0.611	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.387	0.613	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.384	0.615	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.381	0.619	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.380	0.620	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.377	0.623	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.374	0.626	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.371	0.629	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.370	0.630	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.370	0.630	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.369	0.631	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.369	0.631	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.367	0.633	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.362	0.638	0.000
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.638	0.361
rs2708973 lBF = `3.29685` Chr`2` : `113,663,873`	0.361	0.638	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.361	0.638	0.000
rs3769528 lBF = `1.86906` Chr`2` : `33,471,192`	0.353	0.647	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.353	0.647	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.352	0.647	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.351	0.649	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.351	0.649	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.350	0.650	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.348	0.652	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.346	0.654	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.344	0.655	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.341	0.659	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.337	0.663	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.336	0.664	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.336	0.664	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.333	0.667	0.000
rs359965 lBF = `2.30351` Chr`2` : `219,840,891`	0.330	0.669	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.327	0.673	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.325	0.674	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.320	0.680	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.317	0.683	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.316	0.683	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.316	0.684	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.313	0.686	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.312	0.688	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.308	0.692	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.301	0.698	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.299	0.700	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.298	0.702	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.291	0.709	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.289	0.711	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.286	0.714	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.285	0.715	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.282	0.718	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.282	0.718	0.000
rs181867028 lBF = `0.380125` Chr`2` : `2,545,734`	0.272	0.728	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.269	0.731	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.265	0.734	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.262	0.738	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.262	0.738	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.258	0.742	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.256	0.744	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.252	0.748	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.251	0.749	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.245	0.755	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.244	0.756	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.242	0.758	0.000
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.239	0.761	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.226	0.774	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.222	0.778	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.216	0.784	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.215	0.784	0.001
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.211	0.789	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.210	0.790	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.208	0.792	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.208	0.792	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.203	0.796	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.200	0.800	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.198	0.802	0.000
rs186166314 lBF = `0.489607` Chr`2` : `48,663,037`	0.195	0.805	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.194	0.806	0.000
rs1669539 lBF = `0.594279` Chr`2` : `106,615,274`	0.192	0.807	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.192	0.808	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.190	0.809	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.183	0.817	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.180	0.820	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.178	0.822	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.171	0.829	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.170	0.829	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.167	0.833	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.166	0.834	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.163	0.837	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.158	0.842	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.149	0.851	0.000
rs183373550 lBF = `1.19395` Chr`2` : `141,269,442`	0.000	0.853	0.147
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.146	0.854	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.144	0.855	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.144	0.856	0.000
rs181660893 lBF = `3.37336` Chr`2` : `82,026,934`	0.142	0.858	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.142	0.858	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.140	0.859	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.139	0.860	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.138	0.862	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.137	0.863	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.136	0.864	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.135	0.864	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.132	0.868	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.132	0.868	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.131	0.868	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.121	0.878	0.000
rs75598744 lBF = `3.85923` Chr`2` : `82,016,463`	0.117	0.882	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.117	0.883	0.000
rs12185578 lBF = `0.0752277` Chr`2` : `17,609,239`	0.115	0.884	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.112	0.888	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.111	0.889	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.110	0.890	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.103	0.897	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.102	0.897	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.101	0.898	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.099	0.901	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.095	0.905	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.095	0.905	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.094	0.906	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.093	0.907	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.092	0.908	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.092	0.908	0.000
rs77059113 lBF = `9.7216` Chr`2` : `43,672,508`	0.091	0.909	0.000
rs7586604 lBF = `0.40566` Chr`2` : `100,451,676`	0.087	0.913	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.086	0.914	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.084	0.916	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.082	0.917	0.000
rs80196851 lBF = `0.069502` Chr`2` : `173,789,113`	0.081	0.919	0.000
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.080	0.920	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.079	0.921	0.000
rs74349453 lBF = `15.9746` Chr`2` : `43,057,069`	0.078	0.921	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.077	0.923	0.000
rs6707600 lBF = `0.0675953` Chr`2` : `24,521,766`	0.076	0.923	0.000
rs115249811 lBF = `0.120835` Chr`2` : `50,927,119`	0.075	0.925	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.074	0.926	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.073	0.927	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.071	0.929	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.066	0.934	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.065	0.935	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.065	0.935	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.064	0.936	0.000
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rs17022444 lBF = `0.00117129` Chr`2` : `83,029,469`	0.001	0.998	0.000
rs142793646 lBF = `0.00090677` Chr`2` : `123,167,812`	0.001	0.998	0.000
rs7565981 lBF = `0.00644678` Chr`2` : `101,424,331`	0.001	0.998	0.000
rs191356286 lBF = `0.0130101` Chr`2` : `82,325,816`	0.001	0.998	0.000
rs78070307 lBF = `5.27944` Chr`2` : `43,855,150`	0.001	0.998	0.000
rs143020225 lBF = `0.00107086` Chr`2` : `167,214,714`	0.001	0.998	0.000
rs1116357 lBF = `0.467601` Chr`2` : `57,287,411`	0.001	0.998	0.000
rs16841200 lBF = `0.00127703` Chr`2` : `157,868,868`	0.001	0.998	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.001	0.998	0.000
rs58055674 lBF = `0.118109` Chr`2` : `111,831,793`	0.001	0.999	0.000
rs17540621 lBF = `0.00322136` Chr`2` : `47,229,839`	0.001	0.999	0.000
rs13395546 lBF = `0.00078103` Chr`2` : `131,545,192`	0.001	0.999	0.000
rs115455308 lBF = `0.00082877` Chr`2` : `71,042,418`	0.001	0.999	0.000
rs7604423 lBF = `0.426544` Chr`2` : `43,382,741`	0.001	0.999	0.000
rs6728302 lBF = `0.123193` Chr`2` : `233,053,961`	0.001	0.999	0.000
rs12470505 lBF = `0.106028` Chr`2` : `219,908,369`	0.000	0.999	0.001
rs10209150 lBF = `0.00798995` Chr`2` : `182,329,619`	0.001	0.999	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.001	0.999	0.000
rs7571816 lBF = `0.220888` Chr`2` : `233,077,064`	0.001	0.999	0.000
rs698813 lBF = `1.64167` Chr`2` : `44,705,615`	0.000	0.999	0.001
rs7576072 lBF = `0.00315065` Chr`2` : `164,630,952`	0.001	0.999	0.000
rs4252023 lBF = `0.00078678` Chr`2` : `113,890,373`	0.001	0.999	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.001	0.999	0.000
rs6727879 lBF = `0.00077661` Chr`2` : `231,026,592`	0.001	0.999	0.000
rs146109287 lBF = `0.0282924` Chr`2` : `68,237,913`	0.001	0.999	0.001
rs186885683 lBF = `0.00202844` Chr`2` : `209,198,627`	0.001	0.999	0.000
rs895767 lBF = `0.120473` Chr`2` : `224,023,296`	0.000	0.999	0.001
rs16843372 lBF = `-0.0599898` Chr`2` : `159,670,449`	0.001	0.999	0.000
rs45593035 lBF = `0.0204567` Chr`2` : `171,671,490`	0.001	0.999	0.000
rs1349882 lBF = `-0.0870731` Chr`2` : `52,949,318`	0.000	0.999	0.001
rs7577851 lBF = `0.0215447` Chr`2` : `69,723,710`	0.001	0.999	0.000
rs114532231 lBF = `0.0783752` Chr`2` : `86,860,631`	0.001	0.999	0.000
rs17006206 lBF = `0.000623` Chr`2` : `27,907,473`	0.001	0.999	0.000
rs6721181 lBF = `0.00048355` Chr`2` : `40,115,696`	0.001	0.999	0.000
rs17015535 lBF = `0.00053969` Chr`2` : `128,502,585`	0.001	0.999	0.000
rs17024218 lBF = `0.00009949` Chr`2` : `39,939,536`	0.001	0.999	0.000
rs1052483 lBF = `0.163694` Chr`2` : `219,934,348`	0.000	0.999	0.001
rs2716734 lBF = `0.115607` Chr`2` : `39,947,721`	0.001	0.999	0.000
rs6724465 lBF = `0.147842` Chr`2` : `219,943,846`	0.000	0.999	0.001
rs145284077 lBF = `0.00008388` Chr`2` : `71,052,999`	0.001	0.999	0.000
rs6706785 lBF = `-0.0163159` Chr`2` : `240,444,053`	0.001	0.999	0.000
rs115219852 lBF = `0.860198` Chr`2` : `61,651,528`	0.001	0.999	0.000
rs186552003 lBF = `0.0643485` Chr`2` : `47,670,254`	0.000	0.999	0.001
rs2193071 lBF = `0.00028006` Chr`2` : `8,036,260`	0.001	0.999	0.000
rs17042688 lBF = `0.304378` Chr`2` : `52,511,794`	0.001	0.999	0.000
rs13419716 lBF = `0.00020624` Chr`2` : `128,351,504`	0.001	0.999	0.000
rs12996281 lBF = `-0.00468988` Chr`2` : `229,726,206`	0.000	0.999	0.001
rs35094601 lBF = `-0.0189119` Chr`2` : `139,212,490`	0.000	0.999	0.001
rs11900673 lBF = `0.0187093` Chr`2` : `62,452,661`	0.001	0.999	0.000
rs1206397 lBF = `0.00380223` Chr`2` : `51,667,739`	0.000	0.999	0.001
rs73939615 lBF = `0.00011095` Chr`2` : `82,352,497`	0.001	0.999	0.000
rs61741390 lBF = `-0.0003914` Chr`2` : `206,305,262`	0.001	0.999	0.000
rs150416243 lBF = `-0.00267899` Chr`2` : `212,216,854`	0.001	0.999	0.000
rs6704644 lBF = `0.501991` Chr`2` : `234,406,655`	0.000	0.999	0.001
rs10460436 lBF = `0.0973712` Chr`2` : `232,815,341`	0.001	0.999	0.000
rs10856789 lBF = `0.00034882` Chr`2` : `19,781,162`	0.000	0.999	0.001
rs7589998 lBF = `0.00014922` Chr`2` : `60,924,020`	0.001	0.999	0.000
rs183770498 lBF = `0.00009601` Chr`2` : `205,900,875`	0.001	0.999	0.000
rs116765889 lBF = `0.00007102` Chr`2` : `72,213,557`	0.001	0.999	0.000
rs183813555 lBF = `0.00005583` Chr`2` : `112,925,196`	0.001	0.999	0.000
rs202124287 lBF = `0.00005578` Chr`2` : `152,534,216`	0.001	0.999	0.000
rs59904869 lBF = `-0.00025106` Chr`2` : `228,003,642`	0.001	0.999	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.999	0.001
rs17430279 lBF = `0.248625` Chr`2` : `185,436,262`	0.000	0.999	0.001
rs4438470 lBF = `0.0704321` Chr`2` : `229,014,719`	0.001	0.999	0.000
rs11568377 lBF = `0.00014169` Chr`2` : `169,853,220`	0.000	0.999	0.001
rs7580640 lBF = `0.00005435` Chr`2` : `179,248,420`	0.001	0.999	0.000
rs186133190 lBF = `0.00004073` Chr`2` : `63,777,858`	0.001	0.999	0.000
rs72904859 lBF = `0.0000079` Chr`2` : `67,253,622`	0.001	0.999	0.000
rs6721345 lBF = `0.00000158` Chr`2` : `242,012,729`	0.001	0.999	0.000
rs147620864 lBF = `0` Chr`2` : `47,686,532`	0.001	0.999	0.001
rs185508190 lBF = `0` Chr`2` : `51,185,970`	0.001	0.999	0.001
rs114396821 lBF = `0` Chr`2` : `218,209,027`	0.001	0.999	0.001
rs6733051 lBF = `0` Chr`2` : `219,084,533`	0.001	0.999	0.001
rs114383460 lBF = `0` Chr`2` : `39,166,173`	0.001	0.999	0.001
rs77455689 lBF = `0` Chr`2` : `142,015,246`	0.001	0.999	0.001
rs181284109 lBF = `0` Chr`2` : `219,345,712`	0.001	0.999	0.001
rs187068710 lBF = `0` Chr`2` : `68,639,716`	0.001	0.999	0.001
rs180765220 lBF = `0` Chr`2` : `56,156,560`	0.001	0.999	0.001
rs116135467 lBF = `0` Chr`2` : `219,742,453`	0.001	0.999	0.001
rs181794654 lBF = `0` Chr`2` : `68,638,684`	0.001	0.999	0.001
rs145710351 lBF = `0` Chr`2` : `159,677,245`	0.001	0.999	0.001
rs184963741 lBF = `0` Chr`2` : `231,333,486`	0.001	0.999	0.001
rs11691652 lBF = `0` Chr`2` : `228,584,898`	0.001	0.999	0.001
rs34626661 lBF = `0` Chr`2` : `223,789,309`	0.001	0.999	0.001
rs190845920 lBF = `0` Chr`2` : `154,521,746`	0.001	0.999	0.001
rs187013403 lBF = `0` Chr`2` : `68,626,998`	0.001	0.999	0.001
rs113142635 lBF = `0` Chr`2` : `182,271,043`	0.001	0.999	0.001
rs191228972 lBF = `0` Chr`2` : `194,692,311`	0.001	0.999	0.001
rs150064803 lBF = `0` Chr`2` : `118,490,901`	0.001	0.999	0.001
rs143359137 lBF = `0` Chr`2` : `48,842,832`	0.001	0.999	0.001
rs10189546 lBF = `0` Chr`2` : `130,467,857`	0.001	0.999	0.001
rs189505973 lBF = `0` Chr`2` : `68,646,865`	0.001	0.999	0.001
rs11894344 lBF = `0` Chr`2` : `71,019,243`	0.001	0.999	0.001
rs142206003 lBF = `0` Chr`2` : `189,244,551`	0.001	0.999	0.001
rs141034416 lBF = `0` Chr`2` : `218,217,327`	0.001	0.999	0.001
rs10187654 lBF = `0` Chr`2` : `234,814,059`	0.001	0.999	0.001
rs187943782 lBF = `0` Chr`2` : `27,205,386`	0.001	0.999	0.001
rs144605126 lBF = `0` Chr`2` : `103,764,414`	0.001	0.999	0.001

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2975

Cluster X0031

log Bayes Factor = 111.103

contains 3 variants

0.2653

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2506

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7169

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7168

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7168

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7168

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7167

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7167

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7166

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7165

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7165

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7164

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7164

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7163

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7153

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7153

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7153

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7149

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7149

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7148

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7147

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7145

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7144

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7142

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7139

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7138

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7132

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7125

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7118

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7116

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7107

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7106

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7104

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7095

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7094

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7053

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6928

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6872

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6854

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6844

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6822

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6783

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6763

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6721

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6696

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6507

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6407

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6335

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5993

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5989

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5888

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5874

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5847

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5831

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5722

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5715

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5649

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5555

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5286

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5276

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5205

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5152

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5066

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5053

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4892

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4758

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4580

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4511

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4485

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4450

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4385

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4363

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4289

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4270

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4213

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4209

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4148

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3971

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3793

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3774

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3718

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3625

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3588

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3438

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3395

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3342

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3216

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3198

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3192

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3167

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3050

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3035

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3015

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3006

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2993

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2943

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2906

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2881

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2782

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2746

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2645

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2477

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2367

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2236

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2133

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2071

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2014

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1935

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1860

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1816

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1786

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1673

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1639

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1594

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1504

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1497

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1385

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1284

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1141

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0975

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0968

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0941

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0901

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0881

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0865

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0855

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0832

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0801

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0794

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0740

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0686

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0608

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0589

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0585

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0578

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0524

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`)