TreeWAS – [N11] Chronic tubulo-interstitial nephritis

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
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.754	0.246	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.730	0.270	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.678	0.322	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.678	0.322	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.667	0.333	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.665	0.334	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.655	0.345	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.643	0.357	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.630	0.370	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.620	0.380	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.616	0.384	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.615	0.385	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.611	0.389	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.586	0.414	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.585	0.415	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.584	0.416	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.577	0.423	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.569	0.431	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.564	0.436	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.562	0.438	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.562	0.438	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.559	0.441	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.549	0.451	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.548	0.452	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.536	0.464	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.533	0.467	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.531	0.469	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.528	0.472	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.519	0.481	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.515	0.485	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.500	0.500	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.485	0.515	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.481	0.519	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.479	0.521	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.469	0.531	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.463	0.537	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.453	0.546	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.451	0.548	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.440	0.560	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.439	0.561	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.438	0.562	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.437	0.563	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.422	0.578	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.417	0.582	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.402	0.598	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.400	0.599	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.393	0.607	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.392	0.608	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.380	0.620	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.379	0.620	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.370	0.630	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.354	0.646	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.338	0.661	0.001
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.333	0.667	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.332	0.668	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.325	0.674	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.321	0.678	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.317	0.683	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.315	0.685	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.310	0.690	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.304	0.696	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.290	0.709	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.288	0.711	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.285	0.715	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.281	0.718	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.278	0.721	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.247	0.753	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.245	0.754	0.001
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.241	0.759	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.238	0.761	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.208	0.792	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.204	0.796	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.186	0.814	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.169	0.831	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.166	0.834	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.152	0.848	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.139	0.861	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.139	0.861	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.132	0.868	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.130	0.870	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.126	0.874	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.114	0.885	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.106	0.894	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.105	0.895	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.100	0.900	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.098	0.902	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.093	0.907	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.093	0.907	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.082	0.918	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.069	0.931	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.068	0.931	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.067	0.933	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.066	0.933	0.001
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.066	0.934	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.059	0.941	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.058	0.942	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.055	0.945	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.052	0.948	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.050	0.950	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.049	0.950	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.048	0.952	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.045	0.954	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.042	0.957	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.040	0.960	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.038	0.962	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.036	0.963	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.036	0.964	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.035	0.965	0.001
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.033	0.967	0.000
rs4321143 lBF = `0.3117` Chr`15` : `96,156,368`	0.029	0.971	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.026	0.974	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.025	0.975	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.023	0.976	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.023	0.977	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.022	0.978	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.019	0.981	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.019	0.981	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.019	0.981	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.018	0.982	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.017	0.982	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.017	0.983	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.016	0.983	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.016	0.983	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.015	0.984	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.013	0.986	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.012	0.988	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	0.989	0.011
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.011	0.989	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.991	0.009
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.009	0.991	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.008	0.992	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.007	0.993	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.007	0.993	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.007	0.993	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.006	0.993	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.006	0.993	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	0.994	0.006
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.005	0.995	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.005	0.995	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.995	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.004
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.004	0.996	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.004	0.996	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.000	0.996	0.004
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.003	0.996	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.003	0.997	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.003	0.997	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.003	0.997	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.997	0.003
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.003	0.997	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.997	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.002	0.998	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.002	0.998	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.002	0.998	0.000
rs12913538 lBF = `-0.00548122` Chr`15` : `62,899,160`	0.000	0.998	0.002
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.002	0.998	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.002	0.998	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.002	0.998	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.002	0.998	0.000
rs4338740 lBF = `20.272` Chr`15` : `49,735,297`	0.000	0.998	0.002
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.998	0.001
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.000	0.998	0.002
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.002	0.998	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.001	0.998	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.998	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.000	0.998	0.001
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	0.998	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	0.999	0.001
rs3809566 lBF = `0.0327919` Chr`15` : `63,333,724`	0.000	0.999	0.001
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.001	0.999	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.001	0.999	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.001	0.999	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.001	0.999	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.001	0.999	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.001	0.999	0.000
rs3743104 lBF = `-0.0984586` Chr`15` : `33,023,985`	0.000	0.999	0.001
rs8034802 lBF = `-0.103335` Chr`15` : `58,724,792`	0.001	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.001	0.999	0.000
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.000	0.999	0.001
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	0.999	0.001
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs1352323 lBF = `-0.00755766` Chr`15` : `92,995,641`	0.000	0.999	0.001
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	0.999	0.001
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.001	0.999	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
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rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	1.000	0.000
rs2553218 lBF = `-0.0759874` Chr`15` : `54,868,668`	0.000	1.000	0.000
rs7164176 lBF = `-0.0889379` Chr`15` : `92,211,774`	0.000	1.000	0.000
rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	0.000	1.000	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs2219939 lBF = `18.5789` Chr`15` : `79,029,723`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.000	1.000	0.000
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	1.000	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.000	1.000	0.000
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	1.000	0.000
rs3204689 lBF = `0.115405` Chr`15` : `58,246,802`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs7181230 lBF = `0.0270022` Chr`15` : `40,360,741`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	1.000	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.000	1.000	0.000
rs2127898 lBF = `13.6214` Chr`15` : `79,083,120`	0.000	1.000	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	1.000	0.000
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	1.000	0.000
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs1528472 lBF = `-0.0998215` Chr`15` : `55,321,128`	0.000	1.000	0.000
rs7495052 lBF = `-0.109136` Chr`15` : `92,552,029`	0.000	1.000	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	1.000	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	1.000	0.000
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.000	1.000	0.000
rs7176070 lBF = `16.0891` Chr`15` : `79,033,489`	0.000	1.000	0.000
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	0.000	1.000	0.000
rs8192478 lBF = `9.51953` Chr`15` : `78,910,462`	0.000	1.000	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	1.000	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.000	1.000	0.000
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.000	1.000	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	1.000	0.000
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	0.000	1.000	0.000
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	1.000	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.000	1.000	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.000	1.000	0.000
rs17819300 lBF = `0.0898622` Chr`15` : `56,210,929`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs7173947 lBF = `-0.0210446` Chr`15` : `95,270,467`	0.000	1.000	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs2229116 lBF = `-0.0968471` Chr`15` : `33,905,410`	0.000	1.000	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6078

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3827

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.0599

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9963

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9913

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9860

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9805

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9709

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9700

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9683

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9658

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9510

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9493

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9432

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9310

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9294

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9284

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9231

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9164

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9134

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9132

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9078

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9064

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9047

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8990

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8945

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8915

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8896

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8896

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8879

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8844

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8798

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8790

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8758

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8721

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8715

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8713

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8684

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8675

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8632

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8631

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8620

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8592

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8580

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8558

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8510

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8502

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8481

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8457

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8434

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8391

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8372

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8372

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8283

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8256

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8251

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8193

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8136

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8099

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8095

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7936

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7896

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7879

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7835

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7834

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7829

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7824

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7823

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7819

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7819

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7785

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7742

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7718

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7706

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7684

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7678

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7671

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7664

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7635

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7576

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7543

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7533

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7457

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7289

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7281

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7245

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7244

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7174

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7168

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7165

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7165

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7140

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7115

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7106

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7105

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7098

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7056

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7038

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6847

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6825

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6774

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6759

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6742

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6689

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6592

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6587

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6516

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6513

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6357

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6302

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6133

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5531

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.5527

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5201

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5095

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4676

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4672

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4653

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4556

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4287

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4208

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.4141

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4063

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3892

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3856

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3734

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3689

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3587

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3489

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3420

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3343

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3329

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3198

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3167

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3162

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3148

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3054

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2952

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2801

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2645

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2602

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2286

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2217

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2154

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1914

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1801

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1731

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1659

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1619

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1492

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1464

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1409

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1153

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1102

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1036

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0759

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0684

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0617

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0561

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	N10-N16 Renal tubulo-interstitial diseases
Nested terms	N11.0 Nonobstructive reflux-associated chronic pyelonephritis N11.1 Chronic obstructive pyelonephritis N11.8 Other chronic tubulo-interstitial nephritis N11.9 Chronic tubulo-interstitial nephritis, 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`)