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
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.771	0.229	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.765	0.235	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.727	0.273	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.715	0.285	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.695	0.305	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.680	0.320	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.676	0.324	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.675	0.325	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.674	0.325	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.671	0.329	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.668	0.332	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.667	0.333	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.659	0.340	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.654	0.346	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.642	0.358	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.641	0.359	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.640	0.360	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.628	0.372	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.628	0.372	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.626	0.374	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.623	0.377	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.608	0.391	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.604	0.395	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.596	0.403	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.591	0.409	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.588	0.412	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.579	0.420	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.578	0.422	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.574	0.426	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.572	0.428	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.571	0.429	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.570	0.430	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.568	0.432	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.556	0.444	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.553	0.447	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.552	0.448	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.534	0.466	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.533	0.467	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.533	0.467	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.528	0.471	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.525	0.475	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.525	0.475	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.523	0.477	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.522	0.478	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.509	0.491	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.507	0.493	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.504	0.496	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.485	0.515	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.473	0.527	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.470	0.530	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.467	0.532	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.464	0.535	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.464	0.536	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.464	0.536	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.462	0.537	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.448	0.552	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.447	0.553	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.443	0.557	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.437	0.563	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.436	0.564	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.427	0.573	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.426	0.574	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.417	0.583	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.415	0.585	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.409	0.591	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.398	0.602	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.387	0.613	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.617	0.383
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.382	0.618	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.359	0.641	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.346	0.653	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.338	0.662	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.330	0.670	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.330	0.670	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.317	0.683	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.303	0.697	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.297	0.702	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.287	0.713	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.252	0.747	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.251	0.749	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.240	0.760	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.231	0.769	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.227	0.773	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.218	0.781	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.215	0.784	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.215	0.785	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.210	0.790	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.187	0.813	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.159	0.840	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.159	0.841	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.158	0.842	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.156	0.844	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.136	0.864	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.131	0.869	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.130	0.869	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.129	0.870	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.120	0.880	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.120	0.880	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.116	0.883	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.110	0.890	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.108	0.892	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.108	0.892	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.103	0.897	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.101	0.898	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.094	0.905	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.094	0.906	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.092	0.908	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.084	0.916	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.081	0.919	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.079	0.921	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.077	0.923	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.077	0.923	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.076	0.924	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.075	0.925	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.928	0.072
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.071	0.929	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.930	0.069
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.068	0.932	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.066	0.934	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.053	0.947	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.053	0.947	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.053	0.947	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.052	0.948	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.049	0.950	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.048	0.952	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.043	0.954	0.003
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.045	0.954	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	0.956	0.044
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	0.956	0.043
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.041	0.959	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.029	0.971	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.028	0.972	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.028	0.972	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.027	0.973	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.025	0.974	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.024	0.975	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.024	0.976	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.022	0.978	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.022	0.978	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	0.979	0.021
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.020	0.980	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.020	0.980	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.018	0.982	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.017	0.983	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.015	0.985	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.015	0.985	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.014	0.986	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.013	0.987	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.010	0.989	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.010	0.989	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	0.993	0.007
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.006	0.993	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.006	0.993	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.006	0.994	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.006	0.994	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.006	0.994	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.006	0.994	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.005	0.994	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.005	0.995	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.005	0.995	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.005	0.995	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.005	0.995	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.004	0.995	0.000
rs9924951 lBF = `-0.0917043` Chr`16` : `7,504,854`	0.005	0.995	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.004	0.996	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.004	0.996	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.000	0.996	0.004
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.003	0.997	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.003	0.997	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.003	0.997	0.000
rs749671 lBF = `1.417` Chr`16` : `31,088,347`	0.000	0.997	0.003
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	0.997	0.003
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.002	0.998	0.000
rs2080364 lBF = `-0.0370627` Chr`16` : `53,376,459`	0.000	0.998	0.002
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.002	0.998	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.002	0.998	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	0.998	0.002
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.000	0.998	0.002
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.002	0.998	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.002	0.998	0.000
rs11866781 lBF = `-0.107466` Chr`16` : `7,139,173`	0.000	0.998	0.002
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.002	0.998	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.002	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.002	0.998	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.002	0.998	0.000
rs4083242 lBF = `-0.0786122` Chr`16` : `86,368,526`	0.000	0.998	0.002
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.002	0.998	0.000
rs11859517 lBF = `-0.0592355` Chr`16` : `53,181,247`	0.002	0.998	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	0.998	0.002
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.002	0.998	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.001	0.998	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.002	0.998	0.000
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rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	0.999	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	0.999	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	0.999	0.000
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.000	0.999	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	0.999	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	0.999	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	0.999	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.001	0.999	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	0.999	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	0.999	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.001	0.999	0.000
rs35538253 lBF = `-0.0210536` Chr`16` : `71,677,975`	0.000	0.999	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.000	0.999	0.000
rs2076756 lBF = `8.90573` Chr`16` : `50,756,881`	0.000	0.999	0.000
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.000	0.999	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.999	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	0.999	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	0.999	0.000
rs16940186 lBF = `0.0697914` Chr`16` : `86,009,740`	0.000	0.999	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	0.999	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	0.999	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs12920890 lBF = `-0.0293134` Chr`16` : `71,787,588`	0.000	0.999	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.999	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	0.999	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	0.999	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	0.999	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	0.999	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.000	0.999	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	0.999	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.999	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	0.999	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	0.999	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	0.999	0.000
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	0.999	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	0.999	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	0.999	0.000
rs246185 lBF = `-0.0781691` Chr`16` : `14,395,432`	0.000	0.999	0.000
rs886427 lBF = `-0.0938422` Chr`16` : `3,023,605`	0.000	0.999	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs2066842 lBF = `6.51175` Chr`16` : `50,744,624`	0.000	1.000	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	1.000	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	1.000	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	1.000	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.000	1.000	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.000	1.000	0.000
rs4780401 lBF = `-0.0932928` Chr`16` : `11,839,326`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.000	1.000	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	1.000	0.000
rs3112740 lBF = `0.076717` Chr`16` : `7,836,297`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs270421 lBF = `-0.0391422` Chr`16` : `79,252,324`	0.000	1.000	0.000
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.000	1.000	0.000
rs2178146 lBF = `-0.0496594` Chr`16` : `86,463,695`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.000	1.000	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	1.000	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	1.000	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs34792 lBF = `0.0928523` Chr`16` : `15,587,497`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs12446319 lBF = `-0.126731` Chr`16` : `81,774,798`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	0.000
rs1170426 lBF = `0.220548` Chr`16` : `68,603,798`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	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`)