TreeWAS – [N02.0] Minor glomerular abnormality

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`	0.673	0.327	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.000	0.327	0.673
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.671	0.328	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.668	0.332	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.660	0.340	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.653	0.347	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.651	0.348	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.651	0.349	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.650	0.350	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.650	0.350	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.649	0.350	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.644	0.356	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.640	0.360	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.639	0.360	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.624	0.376	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.624	0.376	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.620	0.379	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.618	0.382	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.613	0.387	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.611	0.389	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.611	0.389	0.000
rs3107575 lBF = `3.18466` Chr`3` : `165,345,201`	0.609	0.390	0.000
rs2535238 lBF = `100.36` Chr`6` : `29,645,038`	0.609	0.391	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.609	0.391	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.609	0.391	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.607	0.393	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.607	0.393	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.603	0.396	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.599	0.401	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.596	0.404	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.596	0.404	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.595	0.404	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.595	0.404	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.595	0.405	0.000
rs502771 lBF = `134.013` Chr`6` : `32,578,970`	0.593	0.406	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.593	0.407	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.593	0.407	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.592	0.408	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.591	0.409	0.000
rs375984 lBF = `101.301` Chr`6` : `29,644,502`	0.589	0.410	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.589	0.411	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.589	0.411	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.588	0.412	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.588	0.412	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.587	0.413	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.586	0.413	0.000
rs2747421 lBF = `99.6117` Chr`6` : `29,645,118`	0.586	0.414	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.581	0.419	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.579	0.421	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.578	0.421	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.578	0.422	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.577	0.423	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.576	0.424	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.575	0.425	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.575	0.425	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.575	0.425	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.000	0.425	0.574
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.574	0.426	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.574	0.426	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.574	0.426	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.573	0.427	0.000
rs1046089 lBF = `282.881` Chr`6` : `31,602,967`	0.573	0.427	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.572	0.427	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.572	0.428	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.570	0.430	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.569	0.430	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.569	0.431	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.569	0.431	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.569	0.431	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.568	0.432	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.567	0.433	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.566	0.433	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.566	0.434	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.565	0.434	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.565	0.435	0.000
rs412657 lBF = `242.2` Chr`6` : `32,211,085`	0.565	0.435	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.563	0.436	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.561	0.439	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.561	0.439	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.560	0.440	0.000
rs4660808 lBF = `1.09854` Chr`1` : `40,018,509`	0.560	0.440	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.557	0.443	0.000
rs111945767 lBF = `255.895` Chr`6` : `32,517,045`	0.557	0.443	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.557	0.443	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.556	0.443	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.556	0.444	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.556	0.444	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.556	0.444	0.000
rs76712070 lBF = `85.9674` Chr`1` : `243,050,615`	0.001	0.444	0.554
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.555	0.445	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	0.554	0.446	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.553	0.446	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.553	0.447	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.553	0.447	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.552	0.448	0.000
rs2242659 lBF = `276.776` Chr`6` : `31,601,513`	0.552	0.448	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.551	0.448	0.000
rs3117301 lBF = `91.5802` Chr`6` : `29,654,700`	0.551	0.449	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.551	0.449	0.000
rs1043618 lBF = `248.587` Chr`6` : `31,783,507`	0.551	0.449	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.550	0.449	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.550	0.450	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.550	0.450	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.550	0.450	0.000
rs805257 lBF = `274.411` Chr`6` : `31,634,193`	0.550	0.450	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.549	0.450	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.549	0.451	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.549	0.451	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.549	0.451	0.000
rs805301 lBF = `275.726` Chr`6` : `31,618,121`	0.548	0.452	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.548	0.452	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.548	0.452	0.000
rs77637983 lBF = `255.816` Chr`6` : `32,549,452`	0.548	0.452	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.548	0.452	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.548	0.452	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.548	0.452	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.548	0.452	0.000
rs6940698 lBF = `103.27` Chr`6` : `25,821,580`	0.000	0.454	0.546
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.545	0.454	0.000
rs202118863 lBF = `260.489` Chr`6` : `32,520,509`	0.545	0.455	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	0.545	0.455	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.545	0.455	0.000
rs805303 lBF = `277.164` Chr`6` : `31,616,366`	0.544	0.456	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.543	0.457	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.543	0.457	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.542	0.457	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.542	0.457	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.001	0.458	0.542
rs2747460 lBF = `90.9925` Chr`6` : `29,657,127`	0.542	0.458	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.542	0.458	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.541	0.459	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.541	0.459	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.541	0.459	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.541	0.459	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.540	0.460	0.000
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	0.540	0.460	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.539	0.461	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.539	0.461	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.539	0.461	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.538	0.462	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.538	0.462	0.000
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.000	0.463	0.536
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.536	0.463	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.536	0.464	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.535	0.465	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.535	0.465	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.535	0.465	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.534	0.466	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.534	0.466	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.534	0.466	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.534	0.466	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.533	0.467	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.533	0.467	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.533	0.467	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.532	0.467	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.531	0.469	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.531	0.469	0.000
rs13214027 lBF = `133.595` Chr`6` : `26,573,631`	0.001	0.469	0.531
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.530	0.470	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.530	0.470	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.530	0.470	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.529	0.471	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.529	0.471	0.000
rs1480380 lBF = `75.3568` Chr`6` : `32,913,246`	0.528	0.471	0.001
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.528	0.472	0.000
rs72851052 lBF = `261.226` Chr`6` : `32,502,249`	0.527	0.473	0.000
rs73727981 lBF = `257.099` Chr`6` : `32,511,791`	0.527	0.473	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.526	0.473	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.526	0.474	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.526	0.474	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.525	0.474	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.525	0.475	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.525	0.475	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.525	0.475	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.525	0.475	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.525	0.475	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.524	0.476	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.524	0.476	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.523	0.476	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.523	0.477	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.522	0.478	0.000
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	0.522	0.478	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.522	0.478	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.521	0.479	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.520	0.480	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.518	0.481	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.518	0.481	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.518	0.481	0.000
rs3021304 lBF = `125.582` Chr`6` : `32,575,658`	0.518	0.482	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.518	0.482	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.518	0.482	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.517	0.483	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.517	0.483	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.517	0.483	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.517	0.483	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.516	0.483	0.000
rs9269822 lBF = `259.668` Chr`6` : `32,549,810`	0.516	0.484	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.516	0.484	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.516	0.484	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.516	0.484	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.515	0.485	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.515	0.485	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.515	0.485	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.515	0.485	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.515	0.485	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.515	0.485	0.000
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rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.476	0.523	0.000
rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	0.476	0.524	0.001
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	0.476	0.524	0.001
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.476	0.524	0.000
rs3134608 lBF = `99.9061` Chr`6` : `32,117,971`	0.475	0.524	0.001
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.476	0.524	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.475	0.524	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.475	0.525	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.475	0.525	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.474	0.525	0.001
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.475	0.525	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.474	0.526	0.001
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	0.474	0.526	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.474	0.526	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.474	0.526	0.000
rs3134947 lBF = `100.76` Chr`6` : `32,145,205`	0.473	0.526	0.001
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.473	0.527	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	0.472	0.527	0.001
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.473	0.527	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.473	0.527	0.000
rs3134946 lBF = `101.407` Chr`6` : `32,145,993`	0.472	0.527	0.001
rs3096696 lBF = `97.6499` Chr`6` : `32,122,472`	0.472	0.527	0.001
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.471	0.529	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.470	0.530	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.470	0.530	0.000
rs1632962 lBF = `88.4386` Chr`6` : `29,683,808`	0.470	0.530	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.470	0.530	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.470	0.530	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.470	0.530	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.470	0.530	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.469	0.530	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.469	0.530	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.469	0.530	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.469	0.531	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.469	0.531	0.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	0.469	0.531	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.469	0.531	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.469	0.531	0.000
rs652888 lBF = `121.496` Chr`6` : `31,851,234`	0.468	0.531	0.000
rs3117122 lBF = `145.115` Chr`6` : `32,316,604`	0.469	0.531	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.468	0.531	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.468	0.531	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.468	0.532	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.468	0.532	0.001
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.468	0.532	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.468	0.532	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.468	0.532	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.467	0.532	0.001
rs11718454 lBF = `1.63354` Chr`3` : `1,964,639`	0.467	0.533	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.467	0.533	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.467	0.533	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.467	0.533	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.467	0.533	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.466	0.533	0.001
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.467	0.533	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.466	0.533	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.466	0.533	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.466	0.533	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.466	0.533	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.466	0.534	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.466	0.534	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.465	0.534	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.464	0.535	0.001
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.465	0.535	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.464	0.535	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.464	0.535	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.464	0.536	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.464	0.536	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.464	0.536	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.463	0.537	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.463	0.537	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.463	0.537	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	0.463	0.537	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.463	0.537	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.463	0.537	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.463	0.537	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.463	0.537	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.463	0.537	0.000
rs17038828 lBF = `6.28601` Chr`3` : `39,475,342`	0.462	0.537	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.462	0.537	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.462	0.537	0.000
rs13195509 lBF = `149.354` Chr`6` : `26,463,660`	0.000	0.537	0.462
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.462	0.538	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.462	0.538	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.462	0.538	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	0.462	0.538	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.461	0.538	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	0.461	0.539	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.461	0.539	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

0.2572

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1818

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7088

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7030

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7027

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6987

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6847

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6774

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6764

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6689

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6653

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6634

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6530

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

0.6491

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6392

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6381

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6363

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6335

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6308

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6230

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6216

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6206

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6206

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6196

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6181

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6115

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6112

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6074

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6060

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6038

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5999

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5992

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5925

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5910

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5906

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5898

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5896

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5880

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5825

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5813

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5653

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5651

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5637

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5608

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5593

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5588

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5526

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5520

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5512

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5491

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5475

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5442

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5385

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5382

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5319

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5292

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5287

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5244

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5168

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5168

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5157

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5149

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5064

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5059

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5018

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4991

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4931

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4905

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4853

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4820

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4759

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4700

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4696

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4693

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4677

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4641

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4531

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4506

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4480

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4448

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4415

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4393

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4378

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4373

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4354

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4318

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4285

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4201

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4053

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4002

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3982

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3898

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3877

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3873

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3870

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3863

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3851

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3768

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3761

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3724

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3702

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3702

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3697

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3678

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3606

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3571

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3526

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3494

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3476

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3419

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3362

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3353

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3298

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3253

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3247

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3245

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3128

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3084

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3058

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2957

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2953

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.2865

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2853

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2815

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2690

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2677

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2611

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2606

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2606

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2574

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2552

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2544

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2452

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2383

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2310

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2300

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2282

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2168

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2052

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2045

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2043

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2027

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2005

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1931

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1911

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1734

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1627

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1536

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1478

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1448

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1327

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1012

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0955

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0871

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0868

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0862

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0839

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0763

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0730

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0594

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0542

Cluster X0151

log Bayes Factor = 39.6689

contains 3 variants

0.0541

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0522

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.

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`)