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
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.825	0.175	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.751	0.249	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.737	0.263	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.676	0.324	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.668	0.332	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.659	0.341	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.656	0.344	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.650	0.350	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.647	0.353	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.646	0.354	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.639	0.361	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.636	0.364	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.632	0.368	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.619	0.381	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.611	0.389	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.610	0.390	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.602	0.398	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.601	0.399	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.590	0.410	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.587	0.413	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.572	0.428	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.562	0.438	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.544	0.456	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.506	0.493	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.502	0.497	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.496	0.504	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.491	0.509	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.485	0.515	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.483	0.516	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.469	0.531	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.456	0.543	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.455	0.545	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.444	0.556	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.432	0.568	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.407	0.592	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.391	0.609	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.354	0.645	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.338	0.662	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.323	0.677	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.313	0.687	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.288	0.712	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.272	0.728	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.258	0.742	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.256	0.744	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.248	0.752	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.213	0.787	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.207	0.793	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.191	0.808	0.001
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.187	0.813	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.090	0.910	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.089	0.911	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.087	0.913	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.081	0.919	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.069	0.930	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.051	0.948	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.051	0.949	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.034	0.966	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.033	0.966	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	0.968	0.032
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.026	0.973	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.026	0.974	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.022	0.977	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.022	0.978	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.021	0.979	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.017	0.983	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.015	0.985	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.014	0.986	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.014	0.986	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.013	0.987	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.013	0.987	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.013	0.987	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.012	0.988	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.011	0.989	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.010	0.990	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.008	0.992	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.007	0.992	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.008	0.992	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.008	0.992	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.007	0.993	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.994	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.005	0.995	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	0.995	0.005
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.005	0.995	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.005	0.995	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.004	0.996	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.004	0.996	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.003	0.997	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.003	0.997	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.003	0.997	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.002	0.997	0.001
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.002	0.998	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.002	0.998	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.002	0.998	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.002	0.998	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	0.998	0.002
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.002	0.998	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.001	0.998	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.002	0.998	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.001	0.999	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.001	0.999	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.001	0.999	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.001	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.001
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.001
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	0.999	0.001
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.001	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.001	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.001	0.999	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.001	0.999	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.001	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.001	0.999	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.001	0.999	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.001
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	0.999	0.001
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	0.999	0.001
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	0.999	0.001
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	0.999	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	0.999	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.999	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.001	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	0.999	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	0.999	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	0.999	0.001
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.000	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	0.999	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	0.999	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	1.000	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	1.000	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
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rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000

This table lists the top 491 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`)