TreeWAS – [N18] Chronic renal failure

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
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.987	0.013	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.985	0.015	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.972	0.028	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.968	0.032	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.962	0.038	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.959	0.041	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.957	0.043	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.948	0.052	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.941	0.059	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.938	0.062	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.926	0.074	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.920	0.080	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.914	0.086	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.879	0.121	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.868	0.132	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.867	0.133	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.863	0.137	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.854	0.146	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.846	0.154	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	0.158	0.842
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.840	0.160	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.000	0.177	0.823
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.821	0.179	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.814	0.186	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.794	0.206	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.788	0.212	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.778	0.222	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	0.238	0.762
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.758	0.242	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.751	0.249	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	0.251	0.749
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.743	0.257	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.742	0.258	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.739	0.260	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.737	0.263	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.277	0.723
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.717	0.283	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.716	0.284	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.692	0.308	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.679	0.321	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.674	0.326	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.666	0.334	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.661	0.339	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.651	0.348	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.641	0.359	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.635	0.365	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.583	0.417	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.578	0.422	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.547	0.453	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.539	0.461	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.535	0.465	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.503	0.497	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.471	0.529	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.467	0.533	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.466	0.533	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.462	0.538	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.456	0.544	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	0.573	0.427
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	0.594	0.406
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.403	0.597	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.403	0.597	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.401	0.599	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.393	0.607	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.390	0.609	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.387	0.613	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.384	0.616	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.376	0.624	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.624	0.376
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.373	0.627	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	0.635	0.365
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.351	0.649	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.338	0.662	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.335	0.665	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.325	0.675	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.303	0.697	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.297	0.703	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.276	0.724	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.248	0.752	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.236	0.764	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.231	0.769	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.223	0.776	0.001
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.213	0.787	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.210	0.790	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.207	0.793	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.191	0.809	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.169	0.831	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.169	0.831	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.165	0.835	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.152	0.848	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.149	0.851	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.147	0.852	0.001
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.146	0.854	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.142	0.858	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.138	0.862	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.133	0.867	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.124	0.876	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.113	0.887	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.112	0.888	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.112	0.888	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.111	0.889	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.106	0.893	0.001
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.089	0.911	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.913	0.087
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.087	0.913	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.086	0.913	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.081	0.919	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.080	0.920	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.080	0.920	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.079	0.921	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.077	0.923	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.077	0.923	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.067	0.933	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.063	0.937	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.058	0.941	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.057	0.943	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.054	0.946	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.050	0.950	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.048	0.952	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.047	0.953	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.047	0.953	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.044	0.956	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.044	0.956	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.042	0.958	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.041	0.959	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.040	0.960	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.039	0.961	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.035	0.965	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.034	0.966	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.033	0.967	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.031	0.968	0.001
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.969	0.031
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.031	0.969	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.030	0.970	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.000	0.974	0.026
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	0.974	0.026
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.025	0.975	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.024	0.976	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.023	0.977	0.001
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.020	0.979	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.020	0.980	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.019	0.981	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.018	0.982	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.016	0.984	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.016	0.984	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.016	0.984	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.015	0.985	0.000
rs12924572 lBF = `14.354` Chr`16` : `89,748,736`	0.015	0.985	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.000	0.986	0.014
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.014	0.986	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.013	0.987	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	0.987	0.013
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.011	0.989	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.011	0.989	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.009	0.991	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.008	0.992	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.007	0.992	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.007	0.993	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.007	0.993	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.006	0.994	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.994	0.006
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	0.994	0.006
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.994	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.006	0.994	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.005	0.995	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.005	0.995	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.005	0.995	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.005	0.995	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.005	0.995	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.005	0.995	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	0.996	0.004
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.000	0.996	0.004
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.004	0.996	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.004	0.996	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.004	0.996	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.004	0.996	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
Affx-13430005 lBF = `16.3359` Chr`16` : `88,853,729`	0.000	0.997	0.003
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	0.997	0.003
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	0.997	0.003
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.997	0.003
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.003	0.997	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.003	0.997	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.003	0.997	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.997	0.003
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.000	0.998	0.002
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	0.998	0.002
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.002	0.998	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	0.998	0.002
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.002	0.998	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.002	0.998	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.002	0.998	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	0.998	0.002
rs837763 lBF = `16.2621` Chr`16` : `88,853,729`	0.002	0.998	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.998	0.002
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rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	1.000	0.000
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.000	1.000	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.000	1.000	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	1.000	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs4787483 lBF = `0.0630491` Chr`16` : `29,885,447`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	1.000	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.000	1.000	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.000	1.000	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.000	1.000	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	1.000	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	1.000	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	1.000	0.000
rs11075138 lBF = `-0.0736825` Chr`16` : `12,723,811`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.000	1.000	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	1.000	0.000
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.000	1.000	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	1.000	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	1.000	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	1.000	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.000	1.000	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.000	1.000	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	1.000	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs7498985 lBF = `9.80974` Chr`16` : `90,103,117`	0.000	1.000	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
rs2066842 lBF = `6.51175` Chr`16` : `50,744,624`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs2086824 lBF = `0.0494884` Chr`16` : `89,471,246`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs2608200 lBF = `0.026111` Chr`16` : `20,122,290`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs6497436 lBF = `0.0105106` Chr`16` : `20,123,515`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	1.000	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	1.000	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	1.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	1.000	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	1.000	0.000
rs9929218 lBF = `2.615` Chr`16` : `68,820,946`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0031

log Bayes Factor = 111.103

contains 3 variants

1.0000

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7317

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7229

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

1.0000

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

1.0000

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

1.0000

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

1.0000

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

1.0000

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

1.0000

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

1.0000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

1.0000

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

1.0000

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

1.0000

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

1.0000

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

1.0000

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9999

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9999

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9999

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9999

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9998

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9998

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9998

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9997

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9997

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9997

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9996

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9994

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9994

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9993

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9993

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9992

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9989

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9989

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9986

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9982

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9971

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9971

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9970

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9967

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9956

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9926

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9923

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9917

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9915

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9902

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9845

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9822

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9780

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9772

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9703

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9700

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9689

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9656

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9650

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9592

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9577

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9566

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9481

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9477

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9412

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9364

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9240

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9067

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8945

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8796

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8688

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8625

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8457

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7915

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7234

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6635

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6443

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6045

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5862

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5734

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5648

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5493

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5417

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4951

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4803

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4773

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4660

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4457

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4240

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3967

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3939

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3832

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3704

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3666

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3599

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3303

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3087

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2939

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2906

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2880

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2537

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2042

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1902

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1837

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1688

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1525

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1509

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1508

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1237

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1231

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1136

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1124

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1087

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1063

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1023

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0902

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0896

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0741

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0712

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0678

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0564

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0521

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.

Parent term	N17-N19 Renal failure
Nested terms	N18.0 End-stage renal disease N18.1 Chronic kidney disease, stage 1 N18.2 Chronic kidney disease, stage 2 N18.3 Chronic kidney disease, stage 3 N18.4 Chronic kidney disease, stage 4 N18.5 Chronic kidney disease, stage 5 N18.8 Other chronic renal failure N18.9 Chronic renal failure, unspecified

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`)