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
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.717	0.283	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.715	0.285	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.714	0.286	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.700	0.300	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.696	0.303	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.684	0.316	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.675	0.325	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.664	0.336	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.658	0.342	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.651	0.349	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.646	0.354	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.613	0.387	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.608	0.392	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.607	0.393	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.606	0.394	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.595	0.405	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.570	0.430	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.566	0.434	0.000
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.558	0.442	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.539	0.461	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.539	0.461	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.526	0.474	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.524	0.476	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.522	0.478	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.520	0.479	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.516	0.484	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.515	0.484	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.501	0.499	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.493	0.507	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.483	0.517	0.000
rs139961185 lBF = `5.63342` Chr`11` : `116,807,343`	0.467	0.533	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.459	0.541	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.458	0.541	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.454	0.546	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.451	0.549	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.451	0.549	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.440	0.560	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.437	0.563	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.437	0.563	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.433	0.567	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.427	0.573	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.425	0.575	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.415	0.585	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.409	0.591	0.000
rs12807873 lBF = `2.43861` Chr`11` : `105,626,622`	0.406	0.594	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.397	0.603	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.392	0.608	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.377	0.623	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.376	0.624	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.369	0.631	0.000
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.368	0.632	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.367	0.633	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.365	0.635	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.360	0.640	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.359	0.640	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.358	0.641	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.355	0.645	0.000
rs1938679 lBF = `5.35321` Chr`11` : `69,272,096`	0.353	0.647	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.349	0.650	0.000
rs1514092 lBF = `0.826939` Chr`11` : `22,525,354`	0.348	0.651	0.000
rs74899442 lBF = `9.66177` Chr`11` : `115,890,279`	0.344	0.655	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.342	0.658	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.341	0.658	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.339	0.661	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.339	0.661	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.326	0.674	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.322	0.677	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.321	0.679	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.320	0.680	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.314	0.685	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.314	0.686	0.000
rs4757833 lBF = `0.739549` Chr`11` : `19,663,278`	0.310	0.690	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.305	0.694	0.000
rs3885683 lBF = `0.882591` Chr`11` : `83,455,707`	0.302	0.698	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.296	0.704	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.296	0.704	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.295	0.704	0.000
rs72981516 lBF = `0.884191` Chr`11` : `72,670,900`	0.289	0.711	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.286	0.714	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.283	0.717	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.268	0.732	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.264	0.736	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.264	0.736	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.263	0.737	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.261	0.739	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.249	0.751	0.000
rs11032483 lBF = `33.5508` Chr`11` : `4,515,024`	0.237	0.760	0.003
rs1784499 lBF = `0.557653` Chr`11` : `73,359,236`	0.236	0.764	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.230	0.770	0.000
rs190164515 lBF = `1.50429` Chr`11` : `71,524,177`	0.221	0.779	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.216	0.783	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.210	0.790	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.203	0.797	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.203	0.797	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.203	0.797	0.000
rs191110399 lBF = `1.08712` Chr`11` : `127,347,811`	0.191	0.809	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.188	0.812	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.187	0.813	0.000
rs372091 lBF = `0.370055` Chr`11` : `5,518,156`	0.000	0.819	0.180
rs10160713 lBF = `0.761312` Chr`11` : `96,898,237`	0.178	0.821	0.001
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.177	0.823	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.176	0.824	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.175	0.825	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.172	0.828	0.000
rs117250828 lBF = `5.12033` Chr`11` : `12,193,257`	0.162	0.837	0.000
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.157	0.843	0.000
rs7940423 lBF = `2.47688` Chr`11` : `11,504,228`	0.135	0.865	0.001
rs187327935 lBF = `0.525467` Chr`11` : `127,343,881`	0.123	0.877	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.122	0.878	0.000
rs11215609 lBF = `0.310839` Chr`11` : `115,463,746`	0.121	0.879	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.120	0.880	0.000
rs58603829 lBF = `0.164339` Chr`11` : `117,851,052`	0.117	0.883	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.112	0.888	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.111	0.889	0.000
rs331463 lBF = `0.224895` Chr`11` : `36,501,787`	0.110	0.890	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.110	0.890	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.110	0.890	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.107	0.893	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.096	0.904	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.090	0.910	0.000
rs188188267 lBF = `0.126367` Chr`11` : `10,972,850`	0.087	0.913	0.000
rs17156153 lBF = `22.256` Chr`11` : `270,514`	0.000	0.915	0.085
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.085	0.915	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.082	0.918	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.081	0.919	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.078	0.922	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.078	0.922	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.077	0.923	0.000
rs2116483 lBF = `0.244307` Chr`11` : `83,256,868`	0.076	0.924	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.072	0.928	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.070	0.930	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.069	0.931	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.067	0.932	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.065	0.935	0.000
rs7115734 lBF = `5.34804` Chr`11` : `65,458,964`	0.057	0.943	0.000
rs11604462 lBF = `8.25976` Chr`11` : `65,551,648`	0.055	0.945	0.000
rs12804815 lBF = `1.71775` Chr`11` : `27,453,729`	0.054	0.945	0.000
rs11227299 lBF = `8.19524` Chr`11` : `65,549,570`	0.054	0.946	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.054	0.946	0.000
rs948493 lBF = `8.89648` Chr`11` : `65,552,154`	0.051	0.949	0.000
rs7130144 lBF = `0.754036` Chr`11` : `130,480,592`	0.048	0.952	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.047	0.952	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.041	0.959	0.000
rs72878024 lBF = `21.0711` Chr`11` : `199,492`	0.000	0.961	0.039
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.038	0.961	0.000
rs4014195 lBF = `7.1369` Chr`11` : `65,506,822`	0.038	0.962	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.036	0.964	0.000
rs2060793 lBF = `0.564671` Chr`11` : `14,915,310`	0.000	0.969	0.031
rs114332009 lBF = `0.0542517` Chr`11` : `12,091,007`	0.031	0.969	0.000
rs10741657 lBF = `0.561779` Chr`11` : `14,914,878`	0.000	0.969	0.030
rs10501157 lBF = `0.0662914` Chr`11` : `36,506,869`	0.030	0.970	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.030	0.970	0.000
rs683250 lBF = `0.156767` Chr`11` : `83,276,168`	0.000	0.971	0.029
rs1864774 lBF = `0.12108` Chr`11` : `83,199,276`	0.028	0.972	0.000
rs10892761 lBF = `0.673296` Chr`11` : `121,497,884`	0.000	0.974	0.026
rs11034653 lBF = `0.0205526` Chr`11` : `38,288,593`	0.024	0.976	0.000
rs11037965 lBF = `3.5715` Chr`11` : `44,378,156`	0.024	0.976	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.022	0.978	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.021	0.979	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.018	0.982	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.016	0.984	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.016	0.984	0.000
rs1945213 lBF = `0.0407849` Chr`11` : `56,175,671`	0.015	0.984	0.000
rs2213169 lBF = `0.0216854` Chr`11` : `5,303,063`	0.014	0.985	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.013	0.986	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.013	0.986	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.012	0.987	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.012	0.987	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.012	0.988	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.011	0.989	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.011	0.989	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.010	0.989	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.010	0.989	0.000
rs11231991 lBF = `0.715367` Chr`11` : `79,962,149`	0.000	0.989	0.010
rs931127 lBF = `0.188492` Chr`11` : `65,405,300`	0.010	0.990	0.000
rs231906 lBF = `0.0915561` Chr`11` : `2,752,609`	0.010	0.990	0.000
rs11826937 lBF = `0.375403` Chr`11` : `78,659,145`	0.010	0.990	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.009	0.990	0.000
rs11231693 lBF = `2.11871` Chr`11` : `63,862,612`	0.009	0.991	0.000
rs12285658 lBF = `0.0147089` Chr`11` : `94,723,623`	0.009	0.991	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.009	0.991	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.008	0.991	0.000
rs10796849 lBF = `-0.052239` Chr`11` : `69,602,412`	0.000	0.992	0.008
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.008	0.992	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.008	0.992	0.000
rs66714249 lBF = `0.0490168` Chr`11` : `7,400,566`	0.001	0.992	0.007
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.008	0.992	0.000
rs190588926 lBF = `0.0101642` Chr`11` : `46,243,540`	0.007	0.993	0.000
rs2924679 lBF = `0.515629` Chr`11` : `68,556,782`	0.007	0.993	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.006	0.993	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.006	0.994	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.006	0.994	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.006	0.994	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.006	0.994	0.000
rs11232535 lBF = `-0.0227525` Chr`11` : `80,928,809`	0.005	0.994	0.000
rs16912059 lBF = `0.715807` Chr`11` : `24,091,143`	0.005	0.994	0.000
rs115514216 lBF = `0.00747607` Chr`11` : `25,892,582`	0.005	0.995	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.005	0.995	0.000
rs10500856 lBF = `0.00542608` Chr`11` : `19,584,502`	0.004	0.995	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.004	0.996	0.000
rs7112383 lBF = `0.00706339` Chr`11` : `26,741,262`	0.004	0.996	0.000
rs73443003 lBF = `0.00367608` Chr`11` : `20,561,010`	0.004	0.996	0.000
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rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.001	0.999	0.000
rs113196862 lBF = `0.667721` Chr`11` : `58,082,609`	0.001	0.999	0.000
rs16933829 lBF = `0.0824378` Chr`11` : `17,115,676`	0.001	0.999	0.000
rs2512987 lBF = `-0.00604234` Chr`11` : `86,414,282`	0.000	0.999	0.001
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.001	0.999	0.000
rs564036233 lBF = `3.5658` Chr`11` : `30,319,008`	0.000	0.999	0.001
rs188240612 lBF = `0.0409753` Chr`11` : `101,944,494`	0.000	0.999	0.000
rs139675748 lBF = `0.00416191` Chr`11` : `43,633,208`	0.000	0.999	0.000
rs145803288 lBF = `-0.00159251` Chr`11` : `122,490,659`	0.000	0.999	0.000
rs2727261 lBF = `0.0199689` Chr`11` : `61,712,131`	0.000	0.999	0.001
rs4936323 lBF = `-0.0240541` Chr`11` : `115,091,119`	0.000	0.999	0.001
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.000	0.999	0.000
rs1042602 lBF = `1.64166` Chr`11` : `88,911,696`	0.001	0.999	0.000
rs4397868 lBF = `0.0216203` Chr`11` : `133,566,985`	0.000	0.999	0.001
rs174468 lBF = `0.0865508` Chr`11` : `61,663,691`	0.001	0.999	0.000
rs78405116 lBF = `0.0415912` Chr`11` : `1,892,562`	0.000	0.999	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.000	0.999	0.000
rs478304 lBF = `0.0378849` Chr`11` : `65,494,260`	0.000	0.999	0.000
rs11601239 lBF = `-0.0502216` Chr`11` : `105,556,598`	0.001	0.999	0.000
rs7120482 lBF = `-0.101233` Chr`11` : `92,792,100`	0.000	0.999	0.001
rs3741298 lBF = `17.5516` Chr`11` : `116,657,561`	0.000	0.999	0.000
rs518167 lBF = `0.0126559` Chr`11` : `88,668,140`	0.000	0.999	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.000	0.999	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.000	0.999	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.000	0.999	0.000
rs179429 lBF = `2.36781` Chr`11` : `2,550,730`	0.000	0.999	0.000
rs11214606 lBF = `0.208671` Chr`11` : `113,309,869`	0.000	0.999	0.000
rs11018874 lBF = `0.0499118` Chr`11` : `89,875,437`	0.000	0.999	0.000
rs34400381 lBF = `0.00343799` Chr`11` : `65,143,892`	0.000	0.999	0.000
rs118162387 lBF = `0.00077312` Chr`11` : `113,820,028`	0.000	0.999	0.000
rs163879 lBF = `-0.00788587` Chr`11` : `30,951,674`	0.000	0.999	0.000
rs1939875 lBF = `-0.0679978` Chr`11` : `95,422,867`	0.000	0.999	0.000
rs10896445 lBF = `8.5353` Chr`11` : `68,967,641`	0.000	0.999	0.000
rs12808519 lBF = `0.841034` Chr`11` : `69,600,537`	0.000	0.999	0.000
rs11237982 lBF = `-0.0114556` Chr`11` : `79,441,694`	0.000	0.999	0.000
rs4561213 lBF = `-0.0125993` Chr`11` : `24,678,819`	0.000	0.999	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.000	0.999	0.000
rs117191802 lBF = `3.84152` Chr`11` : `78,966,419`	0.000	0.999	0.000
rs116875324 lBF = `0.721333` Chr`11` : `121,206,449`	0.000	0.999	0.000
rs17098961 lBF = `0.10586` Chr`11` : `102,480,390`	0.000	0.999	0.000
rs2507838 lBF = `0.0593346` Chr`11` : `58,472,799`	0.000	0.999	0.000
rs4611189 lBF = `-0.00435884` Chr`11` : `40,837,713`	0.000	0.999	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.000	0.999	0.000
rs12576775 lBF = `-0.0716181` Chr`11` : `79,077,193`	0.000	0.999	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.000	0.999	0.000
rs4910165 lBF = `0.00282496` Chr`11` : `10,674,044`	0.000	0.999	0.000
rs11225247 lBF = `-0.00932729` Chr`11` : `102,280,751`	0.000	0.999	0.000
rs11031436 lBF = `-0.0462897` Chr`11` : `31,663,882`	0.000	0.999	0.000
rs55661361 lBF = `-0.0575541` Chr`11` : `124,613,957`	0.000	0.999	0.000
rs503341 lBF = `-0.105546` Chr`11` : `63,587,313`	0.000	0.999	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.000	0.999	0.000
rs10767942 lBF = `5.97094` Chr`11` : `32,522,007`	0.000	0.999	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.000	0.999	0.000
rs231356 lBF = `4.66986` Chr`11` : `2,705,343`	0.000	0.999	0.000
rs17148090 lBF = `0.273549` Chr`11` : `85,017,476`	0.000	0.999	0.000
rs10894294 lBF = `0.168555` Chr`11` : `130,830,748`	0.000	0.999	0.000
rs2237878 lBF = `0.0417618` Chr`11` : `2,766,282`	0.000	0.999	0.000
rs11038167 lBF = `-0.00734023` Chr`11` : `44,843,134`	0.000	0.999	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.000	0.999	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.000	0.999	0.000
rs7952138 lBF = `5.64808` Chr`11` : `118,953,952`	0.000	0.999	0.000
rs117807646 lBF = `1.23989` Chr`11` : `119,619,913`	0.000	0.999	0.000
rs3925584 lBF = `0.701893` Chr`11` : `30,760,335`	0.000	0.999	0.000
rs10767873 lBF = `0.620856` Chr`11` : `30,768,678`	0.000	0.999	0.000
rs12294104 lBF = `0.43523` Chr`11` : `30,382,899`	0.000	0.999	0.000
rs9420 lBF = `0.0769871` Chr`11` : `57,510,294`	0.000	0.999	0.000
rs2367970 lBF = `0.063402` Chr`11` : `116,581,641`	0.000	0.999	0.000
rs12281359 lBF = `0.0524276` Chr`11` : `70,417,181`	0.000	0.999	0.000
rs61880854 lBF = `0.00868039` Chr`11` : `4,824,628`	0.000	0.999	0.000
rs117325735 lBF = `0.00328616` Chr`11` : `105,277,570`	0.000	0.999	0.000
rs73469144 lBF = `0.00308599` Chr`11` : `21,504,900`	0.000	0.999	0.000
rs7932614 lBF = `-0.00831776` Chr`11` : `26,045,601`	0.000	0.999	0.000
rs11601602 lBF = `-0.0281876` Chr`11` : `28,233,768`	0.000	0.999	0.000
rs117526668 lBF = `-0.0412601` Chr`11` : `44,285,431`	0.000	0.999	0.000
rs1448938 lBF = `-0.064623` Chr`11` : `30,892,824`	0.000	0.999	0.000
rs4077732 lBF = `-0.0967191` Chr`11` : `11,536,487`	0.000	0.999	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.000	0.999	0.000
rs732072 lBF = `0.764446` Chr`11` : `65,427,568`	0.000	0.999	0.000
rs621313 lBF = `0.247077` Chr`11` : `88,913,663`	0.000	0.999	0.000
rs10500871 lBF = `0.155893` Chr`11` : `20,215,756`	0.000	0.999	0.000
rs4909945 lBF = `0.0316096` Chr`11` : `10,673,739`	0.000	0.999	0.000
rs7481584 lBF = `0.027298` Chr`11` : `3,029,089`	0.000	0.999	0.000
rs61902539 lBF = `0.0126933` Chr`11` : `113,113,152`	0.000	0.999	0.000
rs76239813 lBF = `-0.00589824` Chr`11` : `124,909,582`	0.000	0.999	0.000
rs2566255 lBF = `-0.00874209` Chr`11` : `4,605,195`	0.000	0.999	0.000
rs78015633 lBF = `-0.0203305` Chr`11` : `40,876,586`	0.000	0.999	0.000
rs2124379 lBF = `-0.0767637` Chr`11` : `18,297,563`	0.000	0.999	0.000
rs689 lBF = `37.1324` Chr`11` : `2,182,224`	0.000	0.999	0.000
rs11021570 lBF = `6.39983` Chr`11` : `88,577,006`	0.000	0.999	0.000
rs7952067 lBF = `0.169378` Chr`11` : `100,421,472`	0.000	0.999	0.000
rs4129601 lBF = `0.11096` Chr`11` : `42,874,002`	0.000	0.999	0.000
rs12799264 lBF = `0.0753976` Chr`11` : `19,980,232`	0.000	0.999	0.000
rs190169131 lBF = `0.00742957` Chr`11` : `127,268,602`	0.000	0.999	0.000
rs10892151 lBF = `0.00700115` Chr`11` : `117,531,731`	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 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 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 X0145

log Bayes Factor = 274.587

contains 11 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 X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 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`)