TreeWAS – [N05] Unspecified nephritic syndrome

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
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.763	0.237	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.763	0.237	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.761	0.239	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.758	0.242	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.725	0.275	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.720	0.280	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.716	0.284	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.709	0.291	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.681	0.319	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.676	0.324	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.657	0.343	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.655	0.345	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.645	0.355	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.628	0.372	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.625	0.375	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.625	0.375	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.611	0.389	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.603	0.397	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.599	0.401	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.594	0.406	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.583	0.417	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.569	0.431	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.562	0.438	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.555	0.444	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.552	0.448	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.548	0.452	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.546	0.454	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.542	0.458	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.533	0.467	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.527	0.473	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.526	0.474	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.524	0.475	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.523	0.477	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.523	0.477	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.520	0.479	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.515	0.485	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.514	0.486	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.503	0.497	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.491	0.509	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.489	0.511	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.481	0.519	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.481	0.519	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.472	0.528	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.471	0.529	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.469	0.530	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.463	0.536	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.461	0.539	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.460	0.540	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.452	0.548	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.451	0.548	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.425	0.575	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.421	0.579	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.418	0.582	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.403	0.597	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.400	0.599	0.001
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.393	0.606	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.389	0.611	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.389	0.611	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.380	0.620	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.370	0.629	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.369	0.631	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.364	0.636	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.359	0.641	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.357	0.643	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.354	0.646	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.310	0.690	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.285	0.715	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.275	0.725	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.270	0.730	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.253	0.746	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.244	0.756	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.236	0.764	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.235	0.765	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.230	0.770	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.216	0.784	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.197	0.803	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.197	0.803	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.196	0.804	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.192	0.807	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.168	0.832	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.157	0.842	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.156	0.843	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.144	0.855	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.129	0.870	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.126	0.874	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.114	0.885	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.102	0.898	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.101	0.899	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.098	0.902	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.097	0.903	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.082	0.918	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.082	0.918	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.075	0.924	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.069	0.931	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.067	0.932	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.063	0.936	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.062	0.938	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.062	0.938	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.060	0.940	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.058	0.942	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.057	0.943	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.056	0.943	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.051	0.949	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.049	0.951	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.048	0.952	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.045	0.955	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.044	0.955	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.044	0.956	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.044	0.956	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.040	0.960	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.039	0.961	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.038	0.962	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.036	0.964	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.035	0.965	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.030	0.970	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.029	0.971	0.000
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.028	0.972	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.027	0.973	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.025	0.975	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.021	0.979	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.021	0.979	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.021	0.979	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.020	0.980	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.016	0.984	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.016	0.984	0.000
rs7168353 lBF = `-0.0625658` Chr`15` : `93,638,401`	0.016	0.984	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.014	0.986	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.013	0.986	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.013	0.987	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.013	0.987	0.000
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.013	0.987	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
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.011	0.988	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.011	0.989	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.011	0.989	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.010	0.990	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.010
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.010	0.990	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.009	0.991	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.007	0.992	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.007	0.993	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.007	0.993	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.007	0.993	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.007	0.993	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.006	0.994	0.000
rs2290203 lBF = `0.222692` Chr`15` : `91,512,067`	0.006	0.994	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.005	0.994	0.000
rs11070836 lBF = `-0.10928` Chr`15` : `51,436,397`	0.005	0.994	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.995	0.000
rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.005	0.995	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.005	0.995	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.005	0.995	0.000
rs3813567 lBF = `9.05806` Chr`15` : `78,934,551`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.005	0.995	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.004	0.995	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.004
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.004	0.996	0.000
rs493258 lBF = `-0.0963353` Chr`15` : `58,687,880`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs4776970 lBF = `-0.0609272` Chr`15` : `68,080,886`	0.003	0.996	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.000	0.997	0.003
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.003	0.997	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.003	0.997	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.003	0.997	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.003	0.997	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.003	0.997	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.003	0.997	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.003	0.997	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.003	0.997	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.003	0.997	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.003	0.997	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.997	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.000	0.997	0.002
rs7181230 lBF = `0.0270022` Chr`15` : `40,360,741`	0.002	0.997	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.002	0.997	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.002	0.998	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	0.002	0.998	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.002	0.998	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	0.998	0.002
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	0.998	0.002
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.002	0.998	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.002	0.998	0.000
rs7174755 lBF = `-0.0365078` Chr`15` : `68,597,127`	0.000	0.998	0.002
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.002	0.998	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	0.998	0.002
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.002	0.998	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	0.998	0.002
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.002	0.998	0.000
rs997295 lBF = `-0.0911978` Chr`15` : `68,016,343`	0.000	0.998	0.002
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.002	0.998	0.000
rs8032675 lBF = `-0.0863382` Chr`15` : `67,959,464`	0.000	0.998	0.002
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.002	0.998	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	0.998	0.002
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rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.001	0.999	0.000
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.001	0.999	0.000
rs7119 lBF = `-0.0367213` Chr`15` : `77,777,632`	0.001	0.999	0.000
rs261291 lBF = `-0.0695615` Chr`15` : `58,680,178`	0.000	0.999	0.001
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	0.999	0.001
rs11857176 lBF = `0.705823` Chr`15` : `78,164,706`	0.001	0.999	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.001	0.999	0.000
rs920915 lBF = `-0.0906984` Chr`15` : `58,688,467`	0.000	0.999	0.001
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	0.999	0.001
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.001	0.999	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.001	0.999	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.001	0.999	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.001	0.999	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	0.999	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.000	0.999	0.001
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.001	0.999	0.000
rs1442779 lBF = `-0.0836916` Chr`15` : `71,576,755`	0.000	0.999	0.001
rs899997 lBF = `18.2795` Chr`15` : `79,019,578`	0.001	0.999	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	0.999	0.001
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	0.999	0.001
rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.000	0.999	0.001
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.001	0.999	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.000	0.999	0.001
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	0.999	0.001
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.001	0.999	0.000
rs8035452 lBF = `-0.0444671` Chr`15` : `51,040,798`	0.000	0.999	0.001
rs12591436 lBF = `-0.0585107` Chr`15` : `79,989,186`	0.001	0.999	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	0.999	0.001
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.000	0.999	0.001
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	0.999	0.001
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.999	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.001	0.999	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	0.999	0.000
rs12592967 lBF = `-0.0836139` Chr`15` : `61,870,943`	0.000	0.999	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.001	0.999	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	0.999	0.001
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	0.999	0.001
rs11072790 lBF = `13.6677` Chr`15` : `78,992,025`	0.001	0.999	0.000
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.001	0.999	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.001	0.999	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.001	0.999	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.000	0.999	0.000
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.001	0.999	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.001	0.999	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.000	0.999	0.001
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	0.999	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	0.999	0.000
rs3743200 lBF = `0.0151092` Chr`15` : `79,274,046`	0.001	0.999	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.001	0.999	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.001	0.999	0.000
rs2127898 lBF = `13.6214` Chr`15` : `79,083,120`	0.000	0.999	0.001
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	0.999	0.001
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.001	0.999	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.001	0.999	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.001	0.999	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.001	0.999	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.001	0.999	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.000	0.999	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	0.999	0.001
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.001	0.999	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.000	0.999	0.001
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.000	0.999	0.001
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	0.999	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	0.999	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	0.999	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.001	0.999	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.001	0.999	0.000
rs12903146 lBF = `-0.0838897` Chr`15` : `61,854,663`	0.000	0.999	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	0.999	0.001
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.001	0.999	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.001	0.999	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.999	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.001	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.001	0.999	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	0.000	0.999	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	0.999	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	0.999	0.000
rs6495367 lBF = `-0.0960495` Chr`15` : `79,375,347`	0.000	0.999	0.001
rs8043119 lBF = `16.5105` Chr`15` : `79,061,002`	0.001	0.999	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.001	0.999	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	0.999	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.001	0.999	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	0.999	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	0.999	0.000
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.001	0.999	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	0.999	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.999	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	0.999	0.000
rs1472631 lBF = `-0.130445` Chr`15` : `63,423,739`	0.000	0.999	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	0.999	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	0.999	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	0.999	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	0.999	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3863

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3214

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9989

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9989

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

0.9982

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9979

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9963

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9960

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9956

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9917

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9900

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9887

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9879

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9852

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9844

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9785

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9777

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9757

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9748

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9719

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9699

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9651

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9631

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9602

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9566

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9556

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9542

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9496

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9460

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9443

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9441

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9377

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9374

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9360

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9342

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9339

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9337

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9277

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9203

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9186

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9175

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9163

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9158

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9136

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9113

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9073

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9061

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9018

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9009

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9002

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8942

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8936

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8914

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8902

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8860

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8842

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8820

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8793

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8760

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8754

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8753

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8716

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8703

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8550

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8534

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8514

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8487

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8438

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8410

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8395

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8375

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8369

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8355

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8319

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8307

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8270

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8261

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8250

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8241

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8237

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8216

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8203

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8197

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8120

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8071

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8057

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7956

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7924

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7912

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7908

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7826

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7778

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7756

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7737

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7684

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7681

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7651

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7542

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7535

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7509

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7500

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7465

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7455

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7435

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7352

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7339

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7293

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7279

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7237

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7203

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7137

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7136

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7051

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7031

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6959

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6941

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6937

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6878

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6870

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6858

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6828

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6739

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6586

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6483

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6428

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6372

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6319

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6176

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6029

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5962

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5902

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5817

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5756

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5691

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5557

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5546

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5529

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5296

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5014

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5008

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4659

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4560

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4367

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4348

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4197

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3800

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3709

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3632

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3611

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.3418

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2861

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2854

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2804

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2671

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2524

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.2005

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1913

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1801

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.1597

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1530

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1486

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1340

Cluster X0151

log Bayes Factor = 39.6689

contains 3 variants

0.0994

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0935

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.0896

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0885

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0743

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0501

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	N00-N08 Glomerular diseases
Nested terms	N05.0 Minor glomerular abnormality N05.1 Focal and segmental glomerular lesions N05.2 Diffuse membranous glomerulonephritis N05.3 Diffuse mesangial proliferative glomerulonephritis N05.4 Diffuse endocapillary proliferative glomerulonephritis N05.5 Diffuse mesangiocapillary glomerulonephritis N05.6 Dense deposit disease N05.7 Diffuse crescentic glomerulonephritis N05.8 Other N05.9 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`)