TreeWAS – [N02] Recurrent and persistent haematuria

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
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.939	0.061	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.000	0.062	0.938
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.937	0.063	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.932	0.068	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.920	0.080	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.911	0.089	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.909	0.091	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.908	0.092	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.907	0.093	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.906	0.094	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.906	0.094	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.899	0.101	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.893	0.107	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.892	0.108	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.870	0.130	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.870	0.130	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.865	0.134	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.861	0.139	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.852	0.148	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.852	0.148	0.000
rs3107575 lBF = `3.18466` Chr`3` : `165,345,201`	0.850	0.150	0.000
rs2535238 lBF = `100.36` Chr`6` : `29,645,038`	0.850	0.150	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.849	0.151	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.849	0.151	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.847	0.153	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.847	0.153	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.842	0.158	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.836	0.164	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.836	0.164	0.000
rs502771 lBF = `134.013` Chr`6` : `32,578,970`	0.834	0.166	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.832	0.168	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.832	0.168	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.831	0.169	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.831	0.169	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.830	0.170	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.827	0.173	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.827	0.173	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.826	0.174	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.824	0.176	0.000
rs375984 lBF = `101.301` Chr`6` : `29,644,502`	0.822	0.178	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.822	0.178	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.821	0.179	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.820	0.180	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.820	0.180	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.818	0.182	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.818	0.182	0.000
rs2747421 lBF = `99.6117` Chr`6` : `29,645,118`	0.817	0.183	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.810	0.190	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.807	0.193	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.807	0.193	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.806	0.194	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.805	0.195	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.803	0.197	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.802	0.198	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.802	0.198	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.802	0.198	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.000	0.199	0.801
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.800	0.199	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.800	0.200	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.800	0.200	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.799	0.200	0.000
rs1046089 lBF = `282.881` Chr`6` : `31,602,967`	0.799	0.201	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.798	0.202	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.797	0.203	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.794	0.205	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.794	0.206	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.794	0.206	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	0.794	0.206	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.793	0.206	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.794	0.206	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.792	0.207	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.791	0.209	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.790	0.210	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.789	0.211	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.788	0.211	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.788	0.212	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.786	0.214	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.782	0.218	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.782	0.218	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.781	0.219	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.777	0.223	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.777	0.223	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.776	0.224	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.776	0.224	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.775	0.224	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.775	0.225	0.000
rs76712070 lBF = `85.9674` Chr`1` : `243,050,615`	0.002	0.225	0.773
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.774	0.225	0.000
rs412657 lBF = `242.2` Chr`6` : `32,211,085`	0.774	0.226	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.772	0.228	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.771	0.229	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.771	0.229	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.770	0.230	0.000
rs2242659 lBF = `276.776` Chr`6` : `31,601,513`	0.769	0.231	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.769	0.231	0.000
rs3117301 lBF = `91.5802` Chr`6` : `29,654,700`	0.769	0.231	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.769	0.231	0.000
rs1043618 lBF = `248.587` Chr`6` : `31,783,507`	0.768	0.232	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.768	0.232	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.767	0.232	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.767	0.233	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.767	0.233	0.000
rs805257 lBF = `274.411` Chr`6` : `31,634,193`	0.767	0.233	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.766	0.234	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.766	0.234	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.766	0.234	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.765	0.235	0.000
rs805301 lBF = `275.726` Chr`6` : `31,618,121`	0.765	0.235	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.764	0.236	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.764	0.236	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.764	0.236	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.764	0.236	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.764	0.236	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.764	0.236	0.000
rs6940698 lBF = `103.27` Chr`6` : `25,821,580`	0.000	0.239	0.761
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.761	0.239	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.760	0.240	0.000
rs111945767 lBF = `255.895` Chr`6` : `32,517,045`	0.759	0.241	0.000
rs805303 lBF = `277.164` Chr`6` : `31,616,366`	0.758	0.242	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.758	0.242	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.758	0.242	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.757	0.243	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.756	0.243	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.001	0.244	0.755
rs2747460 lBF = `90.9925` Chr`6` : `29,657,127`	0.755	0.244	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.755	0.245	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.754	0.246	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.754	0.246	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.754	0.246	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.754	0.246	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.754	0.246	0.000
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	0.753	0.247	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.752	0.248	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.752	0.248	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.752	0.248	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.750	0.250	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.750	0.250	0.000
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.000	0.252	0.748
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.748	0.252	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.748	0.252	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	0.747	0.253	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.747	0.253	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.746	0.254	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.746	0.254	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.745	0.255	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.745	0.255	0.000
rs77637983 lBF = `255.816` Chr`6` : `32,549,452`	0.745	0.255	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.745	0.255	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.744	0.256	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.743	0.257	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.743	0.257	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.743	0.257	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.743	0.257	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.741	0.259	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.741	0.259	0.000
rs13214027 lBF = `133.595` Chr`6` : `26,573,631`	0.000	0.260	0.740
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.739	0.261	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.739	0.261	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.739	0.261	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.738	0.262	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.737	0.263	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.736	0.263	0.001
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.737	0.263	0.000
rs202118863 lBF = `260.489` Chr`6` : `32,520,509`	0.735	0.265	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.734	0.266	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.733	0.266	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.733	0.266	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.733	0.267	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.732	0.267	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.732	0.268	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.732	0.268	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.732	0.268	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.732	0.268	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.731	0.269	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.731	0.269	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.730	0.270	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.730	0.270	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.730	0.270	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.728	0.271	0.000
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	0.728	0.272	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.728	0.272	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.726	0.274	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.725	0.275	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.723	0.277	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.723	0.277	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.723	0.277	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.722	0.278	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.722	0.278	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.721	0.279	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.721	0.279	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.721	0.279	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.721	0.279	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.720	0.280	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.720	0.280	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.719	0.280	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.719	0.281	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.719	0.281	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.718	0.282	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.718	0.282	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.718	0.282	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.718	0.282	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.718	0.282	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.718	0.282	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.717	0.283	0.000
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rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	0.664	0.336	0.001
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	0.663	0.336	0.001
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.664	0.336	0.000
rs3134608 lBF = `99.9061` Chr`6` : `32,117,971`	0.663	0.336	0.001
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.663	0.337	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.663	0.337	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.663	0.337	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.662	0.337	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.662	0.338	0.001
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.662	0.338	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.661	0.338	0.001
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	0.661	0.339	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.661	0.339	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.661	0.339	0.000
rs3134947 lBF = `100.76` Chr`6` : `32,145,205`	0.660	0.340	0.001
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.660	0.340	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	0.659	0.341	0.001
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.659	0.341	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.659	0.341	0.000
rs3134946 lBF = `101.407` Chr`6` : `32,145,993`	0.658	0.341	0.001
rs3096696 lBF = `97.6499` Chr`6` : `32,122,472`	0.658	0.341	0.001
rs1076712 lBF = `150.489` Chr`6` : `32,300,152`	0.658	0.342	0.000
rs2076537 lBF = `149.041` Chr`6` : `32,317,635`	0.657	0.343	0.000
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.656	0.343	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.656	0.344	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.656	0.344	0.000
rs1632962 lBF = `88.4386` Chr`6` : `29,683,808`	0.656	0.344	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.655	0.345	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.655	0.345	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.655	0.345	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.655	0.345	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.655	0.345	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.655	0.345	0.000
rs5004277 lBF = `99.9987` Chr`6` : `32,582,354`	0.655	0.345	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.655	0.345	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.654	0.345	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.654	0.345	0.000
rs910050 lBF = `149.617` Chr`6` : `32,315,654`	0.654	0.346	0.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	0.654	0.346	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.654	0.346	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.654	0.346	0.000
rs652888 lBF = `121.496` Chr`6` : `31,851,234`	0.653	0.346	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.653	0.346	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.653	0.347	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.653	0.347	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.652	0.347	0.001
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.653	0.347	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.652	0.348	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.652	0.348	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.651	0.348	0.001
rs11718454 lBF = `1.63354` Chr`3` : `1,964,639`	0.652	0.348	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.651	0.348	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.651	0.349	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.651	0.349	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.651	0.349	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.650	0.349	0.001
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.651	0.349	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.651	0.349	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.650	0.349	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.650	0.349	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.650	0.350	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.650	0.350	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.649	0.351	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.649	0.351	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.648	0.352	0.001
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.648	0.352	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.648	0.352	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.648	0.352	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.647	0.353	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.647	0.353	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.647	0.353	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.646	0.354	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.646	0.354	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.646	0.354	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	0.646	0.354	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.646	0.354	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.645	0.355	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.645	0.355	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.645	0.355	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.645	0.355	0.000
rs17038828 lBF = `6.28601` Chr`3` : `39,475,342`	0.645	0.355	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.645	0.355	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.645	0.355	0.000
rs13195509 lBF = `149.354` Chr`6` : `26,463,660`	0.000	0.355	0.645
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.645	0.355	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.644	0.356	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.644	0.356	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	0.644	0.356	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.644	0.356	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.643	0.357	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.643	0.357	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

0.3586

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2534

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9887

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9806

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9802

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9746

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9550

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9449

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9435

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9331

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9280

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9254

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9108

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8916

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8900

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8876

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8836

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8798

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8690

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8670

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8656

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8656

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8642

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8622

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8529

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8525

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8472

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8453

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8422

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8368

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8358

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8264

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8244

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8238

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8227

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8223

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8202

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8124

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8108

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7884

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7883

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7863

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7821

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7801

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7794

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7708

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7699

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7688

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7659

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7636

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7590

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7511

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7507

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7419

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7381

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7374

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7315

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7209

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7208

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7192

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7181

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7063

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7057

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

0.7016

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6999

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6962

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6877

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6842

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6768

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6722

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6637

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6555

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6550

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6546

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6523

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6473

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6319

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6285

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6248

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6203

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6157

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6127

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6106

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6099

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6073

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6022

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5976

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5859

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5652

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5581

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5553

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5436

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5408

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5401

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5397

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5388

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5370

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5255

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5245

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5194

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5163

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5163

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5156

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5130

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5029

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4980

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4918

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4873

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4848

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4768

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4688

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4675

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4599

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4537

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4528

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4525

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4362

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4300

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4265

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4123

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4118

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.3995

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3979

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3925

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3752

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3733

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3640

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3634

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3633

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3588

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3558

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3548

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3418

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3323

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3221

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3207

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3182

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3023

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2860

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2851

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2848

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2826

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2795

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2692

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2664

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2418

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2267

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2141

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2061

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2018

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1850

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1410

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.1331

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1214

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1209

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1201

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1169

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1016

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0977

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0827

Cluster X0151

log Bayes Factor = 39.6689

contains 3 variants

0.0758

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0754

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0727

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0691

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0563

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0523

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	N02.0 Minor glomerular abnormality N02.1 Focal and segmental glomerular lesions N02.2 Diffuse membranous glomerulonephritis N02.3 Diffuse mesangial proliferative glomerulonephritis N02.4 Diffuse endocapillary proliferative glomerulonephritis N02.5 Diffuse mesangiocapillary glomerulonephritis N02.6 Dense deposit disease N02.7 Diffuse crescentic glomerulonephritis N02.8 Other N02.9 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`)