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
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	1.000	0.000	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.991	0.009	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.978	0.022	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.972	0.028	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.967	0.033	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.963	0.037	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.947	0.053	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.943	0.057	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.894	0.106	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.854	0.146	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.826	0.174	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.775	0.225	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.704	0.296	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.689	0.311	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.685	0.315	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.679	0.321	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.668	0.332	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.665	0.335	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.662	0.338	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.635	0.365	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.628	0.372	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.625	0.375	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.618	0.382	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.547	0.452	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.533	0.467	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.506	0.494	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.466	0.534	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.449	0.551	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.424	0.576	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.424	0.576	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.414	0.586	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.389	0.611	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.372	0.628	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.344	0.656	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.335	0.665	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.326	0.674	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.313	0.687	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.312	0.688	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.295	0.705	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.291	0.709	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.287	0.713	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.275	0.725	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.261	0.739	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.251	0.749	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.236	0.764	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.225	0.775	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.221	0.779	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.185	0.815	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.166	0.834	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.166	0.834	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.166	0.834	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.161	0.839	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.153	0.847	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.149	0.850	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.145	0.855	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.859	0.141
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.131	0.869	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.109	0.891	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.103	0.897	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.100	0.900	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.094	0.906	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.066	0.934	0.001
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.060	0.939	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.056	0.944	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.052	0.948	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.049	0.951	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.049	0.951	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.048	0.952	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.046	0.954	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.041	0.959	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.041	0.959	0.000
rs1298062 lBF = `0.0651724` Chr`19` : `51,004,754`	0.000	0.964	0.036
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.030	0.970	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.030	0.970	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.025	0.975	0.000
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.000	0.977	0.023
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.022	0.978	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.022	0.978	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.021	0.979	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.021	0.979	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.019	0.981	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.016	0.983	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.016	0.984	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.015	0.985	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.014	0.986	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.011	0.989	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.011	0.989	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.011	0.989	0.000
rs16968074 lBF = `0.00313671` Chr`19` : `33,884,341`	0.000	0.990	0.010
rs10421328 lBF = `-0.0331018` Chr`19` : `19,776,814`	0.010	0.990	0.000
rs16966122 lBF = `0.219204` Chr`19` : `32,158,464`	0.000	0.990	0.010
rs8182584 lBF = `1.33031` Chr`19` : `33,909,710`	0.000	0.991	0.009
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.009	0.991	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.008	0.992	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.007	0.993	0.000
rs2230199 lBF = `0.00787425` Chr`19` : `6,718,387`	0.006	0.994	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.006	0.994	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.005	0.995	0.000
rs8111998 lBF = `-0.00188112` Chr`19` : `22,741,675`	0.005	0.995	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.005	0.995	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.004	0.996	0.000
rs4805885 lBF = `1.52436` Chr`19` : `33,906,123`	0.000	0.996	0.004
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.004	0.996	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.003	0.997	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.003	0.997	0.000
rs2100944 lBF = `-0.101007` Chr`19` : `8,281,635`	0.000	0.997	0.003
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.000	0.997	0.003
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.000	0.997	0.003
rs3786749 lBF = `0.12917` Chr`19` : `49,095,278`	0.003	0.997	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.003	0.997	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.002	0.998	0.000
rs7245858 lBF = `0.0903378` Chr`19` : `51,430,596`	0.002	0.998	0.000
rs144790747 lBF = `0.0347014` Chr`19` : `14,487,347`	0.000	0.998	0.002
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.002	0.998	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.002	0.998	0.000
rs632111 lBF = `20.7605` Chr`19` : `49,208,978`	0.002	0.998	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.002	0.998	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.002	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.002	0.998	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.998	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.001	0.998	0.000
rs7255045 lBF = `0.0363917` Chr`19` : `12,932,269`	0.000	0.999	0.001
rs12608504 lBF = `1.27024` Chr`19` : `18,389,135`	0.000	0.999	0.001
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.001	0.999	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs12610495 lBF = `-0.0868982` Chr`19` : `4,717,672`	0.000	0.999	0.001
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs260461 lBF = `-0.0143722` Chr`19` : `58,770,883`	0.001	0.999	0.000
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.001	0.999	0.000
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.001	0.999	0.000
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.001	0.999	0.000
rs56052703 lBF = `-0.0402063` Chr`19` : `13,432,940`	0.001	0.999	0.000
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.000
rs74407240 lBF = `0.0434662` Chr`19` : `2,522,671`	0.000	0.999	0.001
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs76137255 lBF = `0.0428155` Chr`19` : `40,783,832`	0.001	0.999	0.000
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.000	0.999	0.001
rs2287838 lBF = `0.24255` Chr`19` : `9,959,014`	0.000	0.999	0.001
rs56159542 lBF = `0.0320746` Chr`19` : `19,682,971`	0.000	0.999	0.001
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.000	0.999	0.000
rs2059876 lBF = `-0.0616188` Chr`19` : `34,130,336`	0.001	0.999	0.000
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.001	0.999	0.000
rs519113 lBF = `-0.0527793` Chr`19` : `45,376,284`	0.000	0.999	0.001
rs72974768 lBF = `0.467852` Chr`19` : `3,435,545`	0.001	0.999	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.001	0.999	0.000
rs1133146 lBF = `-0.0203314` Chr`19` : `53,666,660`	0.000	0.999	0.001
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.001	0.999	0.000
rs1661178 lBF = `0.0280686` Chr`19` : `45,046,352`	0.001	0.999	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.000	0.999	0.001
rs731839 lBF = `1.27774` Chr`19` : `33,899,065`	0.000	0.999	0.001
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs10411195 lBF = `-0.00755044` Chr`19` : `20,036,176`	0.000	0.999	0.001
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.001	0.999	0.000
rs10418356 lBF = `-0.00622458` Chr`19` : `31,035,686`	0.000	0.999	0.001
rs280519 lBF = `0.528063` Chr`19` : `10,472,933`	0.001	0.999	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.001	0.999	0.000
rs78015699 lBF = `-0.00079808` Chr`19` : `18,487,667`	0.000	0.999	0.001
rs1862471 lBF = `-0.0349275` Chr`19` : `10,000,322`	0.000	0.999	0.001
rs2074977 lBF = `-0.10901` Chr`19` : `3,434,028`	0.001	0.999	0.000
rs7245708 lBF = `0.373925` Chr`19` : `46,195,756`	0.001	0.999	0.000
rs788338 lBF = `-0.0996841` Chr`19` : `50,778,543`	0.001	0.999	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	0.999	0.001
rs11672517 lBF = `11.0443` Chr`19` : `57,678,194`	0.000	0.999	0.001
rs3810291 lBF = `1.3375` Chr`19` : `47,569,003`	0.001	0.999	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.000	0.999	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	0.999	0.001
rs7248888 lBF = `-0.0234267` Chr`19` : `46,974,003`	0.001	0.999	0.000
rs11666913 lBF = `-0.0722043` Chr`19` : `8,285,730`	0.000	0.999	0.001
rs34945782 lBF = `10.6689` Chr`19` : `57,678,336`	0.000	0.999	0.001
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.000	0.999	0.000
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.000	1.000	0.000
rs12459897 lBF = `-0.00660074` Chr`19` : `31,596,778`	0.000	1.000	0.000
rs10404486 lBF = `-0.00249954` Chr`19` : `53,284,135`	0.000	1.000	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.000	1.000	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.000	1.000	0.000
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rs2111504 lBF = `0.0368977` Chr`19` : `32,917,455`	0.000	1.000	0.000
rs6510683 lBF = `0.029027` Chr`19` : `2,547,015`	0.000	1.000	0.000
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.000	1.000	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	1.000	0.000
rs117492019 lBF = `0.0160085` Chr`19` : `58,681,861`	0.000	1.000	0.000
rs7259004 lBF = `0.00656928` Chr`19` : `45,432,557`	0.000	1.000	0.000
rs3745760 lBF = `-0.00216526` Chr`19` : `48,205,725`	0.000	1.000	0.000
rs34232444 lBF = `-0.00847131` Chr`19` : `4,965,404`	0.000	1.000	0.000
rs757318 lBF = `-0.0112631` Chr`19` : `18,820,308`	0.000	1.000	0.000
rs11671010 lBF = `-0.0129902` Chr`19` : `35,559,474`	0.000	1.000	0.000
rs4806846 lBF = `-0.0182096` Chr`19` : `2,410,484`	0.000	1.000	0.000
rs8109848 lBF = `-0.0245277` Chr`19` : `41,522,069`	0.000	1.000	0.000
rs1353531 lBF = `-0.0319868` Chr`19` : `31,846,907`	0.000	1.000	0.000
rs7249887 lBF = `-0.0333678` Chr`19` : `31,849,368`	0.000	1.000	0.000
rs7507204 lBF = `-0.0354556` Chr`19` : `3,428,834`	0.000	1.000	0.000
rs2017387 lBF = `-0.0361363` Chr`19` : `50,568,573`	0.000	1.000	0.000
rs10406174 lBF = `-0.0446399` Chr`19` : `3,944,240`	0.000	1.000	0.000
rs7255066 lBF = `-0.0503042` Chr`19` : `45,146,103`	0.000	1.000	0.000
rs28493229 lBF = `-0.0547884` Chr`19` : `41,224,204`	0.000	1.000	0.000
rs1126510 lBF = `-0.0566693` Chr`19` : `47,123,783`	0.000	1.000	0.000
rs6509701 lBF = `-0.0618617` Chr`19` : `53,384,185`	0.000	1.000	0.000
rs2059807 lBF = `-0.0626248` Chr`19` : `7,166,109`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs892085 lBF = `-0.0783534` Chr`19` : `10,818,092`	0.000	1.000	0.000
rs314669 lBF = `-0.0872059` Chr`19` : `47,168,129`	0.000	1.000	0.000
rs7253430 lBF = `-0.101165` Chr`19` : `1,803,582`	0.000	1.000	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.000	1.000	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.000	1.000	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.000	1.000	0.000
rs503279 lBF = `19.8281` Chr`19` : `49,209,010`	0.000	1.000	0.000
rs504963 lBF = `19.4` Chr`19` : `49,208,865`	0.000	1.000	0.000
rs602662 lBF = `19.1059` Chr`19` : `49,206,985`	0.000	1.000	0.000
rs485186 lBF = `18.7474` Chr`19` : `49,207,206`	0.000	1.000	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.000	1.000	0.000
rs838133 lBF = `14.0415` Chr`19` : `49,259,529`	0.000	1.000	0.000
rs4804833 lBF = `8.86511` Chr`19` : `7,970,635`	0.000	1.000	0.000
rs2307019 lBF = `6.5201` Chr`19` : `49,244,220`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs45446093 lBF = `6.24022` Chr`19` : `54,756,155`	0.000	1.000	0.000
rs8099996 lBF = `6.08546` Chr`19` : `11,174,625`	0.000	1.000	0.000
Affx-52359426 lBF = `5.92329` Chr`19` : `49,244,218`	0.000	1.000	0.000
rs4803455 lBF = `5.07343` Chr`19` : `41,851,509`	0.000	1.000	0.000
rs34645805 lBF = `5.04291` Chr`19` : `11,247,522`	0.000	1.000	0.000
rs2659051 lBF = `4.31235` Chr`19` : `51,345,568`	0.000	1.000	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.000	1.000	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.000	1.000	0.000
rs8111874 lBF = `3.68917` Chr`19` : `49,168,942`	0.000	1.000	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	0.000	1.000	0.000
rs10423928 lBF = `3.04455` Chr`19` : `46,182,304`	0.000	1.000	0.000
rs281380 lBF = `1.855` Chr`19` : `49,214,470`	0.000	1.000	0.000
rs73036519 lBF = `1.74894` Chr`19` : `45,748,362`	0.000	1.000	0.000
rs16986856 lBF = `0.891232` Chr`19` : `56,497,960`	0.000	1.000	0.000
rs8170 lBF = `0.54398` Chr`19` : `17,389,704`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.000	1.000	0.000
rs8105429 lBF = `0.113411` Chr`19` : `18,481,333`	0.000	1.000	0.000
rs2288884 lBF = `0.098259` Chr`19` : `52,532,271`	0.000	1.000	0.000
rs4808075 lBF = `0.0832062` Chr`19` : `17,390,291`	0.000	1.000	0.000
rs8099917 lBF = `0.0629772` Chr`19` : `39,743,165`	0.000	1.000	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	1.000	0.000
rs4141232 lBF = `0.0528967` Chr`19` : `29,035,556`	0.000	1.000	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.000	1.000	0.000
rs7249142 lBF = `0.0442277` Chr`19` : `19,276,359`	0.000	1.000	0.000
rs12983728 lBF = `0.0364937` Chr`19` : `58,671,267`	0.000	1.000	0.000
rs3764628 lBF = `0.0321825` Chr`19` : `18,747,605`	0.000	1.000	0.000
rs7246657 lBF = `0.0297095` Chr`19` : `37,747,108`	0.000	1.000	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.000	1.000	0.000
rs3745571 lBF = `0.016699` Chr`19` : `6,475,613`	0.000	1.000	0.000
rs443874 lBF = `0.0159284` Chr`19` : `54,779,389`	0.000	1.000	0.000
rs7247513 lBF = `0.00897879` Chr`19` : `12,691,185`	0.000	1.000	0.000
rs889122 lBF = `-0.00912507` Chr`19` : `9,995,867`	0.000	1.000	0.000
rs7249094 lBF = `-0.00980267` Chr`19` : `8,672,000`	0.000	1.000	0.000
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.000	1.000	0.000
rs12984174 lBF = `-0.0292608` Chr`19` : `18,132,540`	0.000	1.000	0.000
rs12460584 lBF = `-0.0326852` Chr`19` : `51,186,081`	0.000	1.000	0.000
rs11878732 lBF = `-0.0329447` Chr`19` : `31,828,848`	0.000	1.000	0.000
rs12973666 lBF = `-0.0358025` Chr`19` : `41,289,397`	0.000	1.000	0.000
rs4805272 lBF = `-0.0359144` Chr`19` : `29,319,706`	0.000	1.000	0.000
rs17726276 lBF = `-0.036061` Chr`19` : `41,291,119`	0.000	1.000	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	1.000	0.000
rs12461110 lBF = `-0.0406045` Chr`19` : `56,320,663`	0.000	1.000	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	1.000	0.000
rs183353539 lBF = `-0.0422568` Chr`19` : `6,992,244`	0.000	1.000	0.000
rs644148 lBF = `-0.0431377` Chr`19` : `44,970,935`	0.000	1.000	0.000
rs973009 lBF = `-0.0464056` Chr`19` : `39,174,332`	0.000	1.000	0.000
rs472265 lBF = `-0.0483425` Chr`19` : `39,580,737`	0.000	1.000	0.000
rs12608932 lBF = `-0.0498233` Chr`19` : `17,752,689`	0.000	1.000	0.000
rs56873913 lBF = `-0.055002` Chr`19` : `50,091,199`	0.000	1.000	0.000
rs7245959 lBF = `-0.0552497` Chr`19` : `31,379,109`	0.000	1.000	0.000
rs2302063 lBF = `-0.0678337` Chr`19` : `3,150,418`	0.000	1.000	0.000
rs10425935 lBF = `-0.076983` Chr`19` : `29,908,107`	0.000	1.000	0.000
rs875622 lBF = `-0.0775663` Chr`19` : `16,467,759`	0.000	1.000	0.000
rs4105144 lBF = `-0.0847799` Chr`19` : `41,358,624`	0.000	1.000	0.000
rs2115386 lBF = `-0.0851218` Chr`19` : `7,196,565`	0.000	1.000	0.000
rs11084786 lBF = `-0.0864776` Chr`19` : `35,282,181`	0.000	1.000	0.000
rs8101881 lBF = `-0.08863` Chr`19` : `33,364,628`	0.000	1.000	0.000
rs7258249 lBF = `-0.0892357` Chr`19` : `8,271,721`	0.000	1.000	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.000	1.000	0.000
rs438811 lBF = `51.3098` Chr`19` : `45,416,741`	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 X0057

log Bayes Factor = 439.35

contains 16 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

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 X0121

log Bayes Factor = 131.08

contains 9 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 X0177

log Bayes Factor = 254.872

contains 10 variants

1.0000

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0332

log Bayes Factor = 65.2374

contains 3 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`)