TreeWAS – [B95] Streptococcus and staphylococcus as the cause of diseases classified to other chapters

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
rs6922431 lBF = `22.0345` Chr`6` : `31,465,030`	0.000	0.002	0.998
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.994	0.006	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.986	0.014	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.985	0.015	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.984	0.016	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.983	0.017	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.980	0.020	0.000
rs114355928 lBF = `63.2185` Chr`6` : `32,265,881`	0.978	0.022	0.000
rs9493873 lBF = `5.52086` Chr`6` : `134,576,511`	0.975	0.025	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.964	0.036	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.957	0.043	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.953	0.047	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.950	0.050	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.944	0.056	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.944	0.056	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.934	0.066	0.000
rs41291798 lBF = `46.7943` Chr`6` : `32,431,558`	0.000	0.068	0.932
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.926	0.074	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.923	0.077	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.913	0.087	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.911	0.089	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.908	0.092	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.907	0.093	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.904	0.096	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.903	0.097	0.000
rs80123541 lBF = `17.2266` Chr`6` : `110,354,662`	0.900	0.100	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.898	0.102	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.897	0.103	0.000
rs77141874 lBF = `14.9976` Chr`6` : `55,438,094`	0.887	0.113	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.882	0.118	0.000
rs7757496 lBF = `23.0627` Chr`6` : `31,780,235`	0.882	0.118	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.878	0.122	0.000
rs17783658 lBF = `5.27728` Chr`6` : `81,762,310`	0.878	0.122	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.877	0.123	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.876	0.124	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.875	0.125	0.000
rs114570543 lBF = `14.2163` Chr`6` : `30,953,209`	0.872	0.128	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.870	0.130	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.863	0.137	0.000
rs8192585 lBF = `18.7691` Chr`6` : `32,188,823`	0.860	0.140	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.857	0.143	0.000
rs72829251 lBF = `5.09993` Chr`6` : `7,911,982`	0.856	0.144	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.856	0.144	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.853	0.147	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.848	0.152	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.841	0.159	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.839	0.161	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.838	0.162	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.836	0.164	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.834	0.166	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.831	0.169	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.824	0.176	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.821	0.179	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.814	0.186	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.813	0.187	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.813	0.187	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.812	0.188	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.810	0.190	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.809	0.191	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.805	0.195	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.802	0.198	0.000
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.802	0.198	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.799	0.201	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.797	0.203	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.793	0.207	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.793	0.207	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.792	0.208	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.790	0.210	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.789	0.211	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.788	0.212	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.787	0.213	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.783	0.217	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.783	0.217	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.779	0.221	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.779	0.221	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.777	0.223	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.776	0.224	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.775	0.225	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.773	0.227	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.769	0.231	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.764	0.236	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.761	0.239	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.760	0.240	0.000
rs116518618 lBF = `85.1896` Chr`6` : `32,594,998`	0.000	0.240	0.760
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.757	0.243	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.753	0.247	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.751	0.249	0.000
rs11155133 lBF = `6.4949` Chr`6` : `141,169,825`	0.749	0.251	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.743	0.257	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.742	0.258	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.741	0.259	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.738	0.262	0.000
rs116201121 lBF = `1.88745` Chr`6` : `9,993,737`	0.736	0.264	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.735	0.265	0.000
rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.731	0.269	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.728	0.272	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.726	0.274	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.724	0.276	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.718	0.282	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.718	0.282	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.716	0.284	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.716	0.284	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.710	0.290	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.707	0.293	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.704	0.296	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.696	0.304	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.693	0.307	0.000
rs28584179 lBF = `81.4202` Chr`6` : `32,626,119`	0.000	0.310	0.690
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.685	0.315	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.685	0.315	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.681	0.319	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.677	0.323	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.674	0.326	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.671	0.329	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.671	0.329	0.000
rs4476815 lBF = `1.44419` Chr`6` : `26,260,070`	0.667	0.333	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.667	0.333	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.665	0.335	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.657	0.343	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.654	0.346	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.654	0.346	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.649	0.351	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.646	0.354	0.000
rs114892859 lBF = `25.3426` Chr`6` : `31,369,278`	0.643	0.357	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.639	0.361	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.639	0.361	0.000
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.638	0.362	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.637	0.363	0.000
rs34645399 lBF = `46.5` Chr`6` : `32,589,169`	0.000	0.363	0.637
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.632	0.368	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.625	0.375	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.619	0.381	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.618	0.382	0.000
rs73730372 lBF = `80.3636` Chr`6` : `32,584,581`	0.000	0.382	0.618
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.615	0.385	0.000
rs16887604 lBF = `11.436` Chr`6` : `77,149,658`	0.614	0.386	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.613	0.387	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.610	0.390	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.607	0.393	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.605	0.395	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.604	0.396	0.000
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.604	0.396	0.000
rs6455 lBF = `1.58465` Chr`6` : `32,006,896`	0.000	0.406	0.594
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.593	0.407	0.000
rs61613191 lBF = `1.61814` Chr`6` : `141,123,711`	0.591	0.409	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.590	0.410	0.000
rs17201763 lBF = `16.7746` Chr`6` : `32,185,246`	0.588	0.412	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.587	0.413	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.585	0.415	0.000
rs116234817 lBF = `75.2455` Chr`6` : `31,321,364`	0.583	0.417	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.582	0.418	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.580	0.420	0.000
rs1473500 lBF = `1.94868` Chr`6` : `168,511,016`	0.580	0.420	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.580	0.420	0.000
rs116157207 lBF = `16.4805` Chr`6` : `31,518,764`	0.577	0.423	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.563	0.437	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.563	0.437	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.559	0.441	0.000
rs116869525 lBF = `4.44373` Chr`6` : `32,389,143`	0.558	0.442	0.000
rs115623520 lBF = `16.5137` Chr`6` : `31,518,433`	0.553	0.447	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.552	0.448	0.000
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.550	0.450	0.000
rs73725220 lBF = `7.2576` Chr`6` : `16,700,060`	0.549	0.451	0.000
rs45592033 lBF = `19.2031` Chr`6` : `32,162,559`	0.547	0.453	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.544	0.456	0.000
rs114963023 lBF = `14.7315` Chr`6` : `31,199,645`	0.539	0.461	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.536	0.464	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.535	0.465	0.000
rs9267536 lBF = `15.2088` Chr`6` : `31,651,194`	0.534	0.466	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.531	0.469	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.530	0.470	0.000
rs45451301 lBF = `16.4571` Chr`6` : `31,935,392`	0.530	0.470	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.529	0.471	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.528	0.472	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.527	0.473	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.526	0.474	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.522	0.478	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.522	0.478	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.502	0.498	0.000
rs17881233 lBF = `16.4571` Chr`6` : `31,323,745`	0.501	0.499	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.500	0.500	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.495	0.505	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.494	0.506	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.493	0.507	0.000
rs17207085 lBF = `16.5272` Chr`6` : `31,503,552`	0.492	0.508	0.000
rs2646928 lBF = `2.13965` Chr`6` : `37,454,827`	0.491	0.509	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.489	0.510	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.489	0.511	0.000
rs74851542 lBF = `13.846` Chr`6` : `41,232,552`	0.478	0.522	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.477	0.523	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.477	0.523	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.477	0.523	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.476	0.524	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.476	0.524	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.474	0.526	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.468	0.531	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.468	0.532	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.467	0.533	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.466	0.534	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.465	0.535	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.463	0.537	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.463	0.537	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.459	0.541	0.000
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rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.235	0.765	0.000
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.235	0.765	0.000
rs241428 lBF = `0.737332` Chr`6` : `32,804,070`	0.235	0.765	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.234	0.766	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.233	0.766	0.000
rs17083533 lBF = `1.99367` Chr`6` : `121,730,722`	0.231	0.769	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.230	0.770	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.228	0.772	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.227	0.773	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.226	0.774	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.225	0.775	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.224	0.776	0.000
rs2394967 lBF = `67.3079` Chr`6` : `31,269,129`	0.224	0.776	0.000
rs9345396 lBF = `0.146464` Chr`6` : `94,489,219`	0.223	0.777	0.000
rs12197587 lBF = `13.4674` Chr`6` : `31,005,774`	0.223	0.777	0.000
rs115130140 lBF = `86.1904` Chr`6` : `31,410,537`	0.223	0.777	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.222	0.778	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.221	0.779	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.220	0.780	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.219	0.781	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.218	0.782	0.000
rs6913377 lBF = `13.6987` Chr`6` : `31,243,495`	0.000	0.782	0.218
rs137931178 lBF = `0.402177` Chr`6` : `32,329,150`	0.216	0.784	0.000
rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.215	0.785	0.000
rs149747749 lBF = `0.424924` Chr`6` : `9,937,360`	0.215	0.785	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.213	0.787	0.000
rs28397307 lBF = `14.0816` Chr`6` : `31,233,651`	0.000	0.787	0.213
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	0.213	0.787	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.212	0.788	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.211	0.789	0.000
rs115464798 lBF = `21.2629` Chr`6` : `31,260,128`	0.210	0.790	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.208	0.792	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.207	0.793	0.000
rs28367569 lBF = `13.7014` Chr`6` : `31,236,102`	0.000	0.794	0.206
rs28367594 lBF = `12.4581` Chr`6` : `31,258,141`	0.000	0.795	0.205
rs113508841 lBF = `1.547` Chr`6` : `136,545,273`	0.203	0.797	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.203	0.797	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.202	0.798	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.201	0.798	0.000
rs75796365 lBF = `0.661072` Chr`6` : `143,362,753`	0.201	0.799	0.000
rs28360051 lBF = `9.75413` Chr`6` : `31,142,261`	0.000	0.799	0.201
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.201	0.799	0.000
rs114291795 lBF = `78.0497` Chr`6` : `31,377,640`	0.200	0.800	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.199	0.801	0.000
rs114212906 lBF = `61.1046` Chr`6` : `31,391,389`	0.199	0.801	0.000
rs17879162 lBF = `12.8304` Chr`6` : `31,237,257`	0.000	0.801	0.199
rs2071288 lBF = `1.86709` Chr`6` : `32,149,260`	0.198	0.801	0.001
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.198	0.802	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.198	0.802	0.000
rs7747738 lBF = `14.0303` Chr`6` : `31,230,924`	0.000	0.804	0.196
rs28367590 lBF = `12.8821` Chr`6` : `31,251,057`	0.000	0.804	0.196
rs116399318 lBF = `12.9172` Chr`6` : `31,078,664`	0.193	0.807	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.192	0.807	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.192	0.808	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.192	0.808	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.191	0.809	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.189	0.811	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.188	0.812	0.000
rs72880536 lBF = `13.1874` Chr`6` : `33,752,386`	0.188	0.812	0.000
rs3819299 lBF = `73.6171` Chr`6` : `31,322,367`	0.186	0.814	0.000
rs12193701 lBF = `15.4612` Chr`6` : `31,331,617`	0.186	0.814	0.000
rs28367598 lBF = `11.2039` Chr`6` : `31,261,691`	0.000	0.814	0.186
rs28367592 lBF = `12.7845` Chr`6` : `31,253,716`	0.000	0.816	0.184
rs116369005 lBF = `22.4527` Chr`6` : `31,847,418`	0.184	0.816	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.183	0.816	0.000
rs6907296 lBF = `14.4576` Chr`6` : `22,476,568`	0.182	0.818	0.000
rs57740770 lBF = `14.7225` Chr`6` : `32,067,435`	0.182	0.818	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.179	0.821	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.178	0.822	0.000
rs17884390 lBF = `13.3379` Chr`6` : `31,238,495`	0.000	0.824	0.176
rs117091124 lBF = `7.58899` Chr`6` : `94,239,513`	0.176	0.824	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.175	0.825	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.175	0.825	0.000
rs28397309 lBF = `14.234` Chr`6` : `31,234,438`	0.000	0.826	0.174
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.169	0.830	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.168	0.832	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.168	0.832	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.166	0.834	0.000
rs6934690 lBF = `14.5953` Chr`6` : `54,054,686`	0.165	0.835	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.164	0.836	0.000
rs116488202 lBF = `90.3694` Chr`6` : `31,344,916`	0.164	0.836	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.164	0.836	0.000
rs9496398 lBF = `0.248197` Chr`6` : `142,822,217`	0.163	0.836	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.162	0.838	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.161	0.839	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	0.161	0.839	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.160	0.840	0.000
rs2275336 lBF = `0.750334` Chr`6` : `154,726,988`	0.158	0.842	0.000
rs138325416 lBF = `0.199306` Chr`6` : `24,006,561`	0.157	0.843	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.157	0.843	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.156	0.844	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.156	0.844	0.000
rs75617879 lBF = `7.44483` Chr`6` : `2,197,935`	0.154	0.846	0.000
rs3104413 lBF = `510.724` Chr`6` : `32,582,650`	0.153	0.847	0.000
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.152	0.847	0.001

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3715

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3195

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1096

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

1.0000

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

1.0000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

1.0000

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

1.0000

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

1.0000

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

1.0000

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

1.0000

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

1.0000

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

1.0000

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

1.0000

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

1.0000

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9999

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9999

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9999

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9999

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9999

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9999

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9999

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9999

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9998

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9998

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9998

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9998

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9997

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9996

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9996

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9996

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9996

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9996

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9995

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9995

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9993

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9992

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9990

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9988

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9982

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9982

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9978

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9973

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9966

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9963

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9959

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9953

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9942

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9942

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9942

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9940

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9923

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9911

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9901

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9840

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9828

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9824

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9817

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9783

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9766

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9742

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9687

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9653

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9630

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9606

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9524

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9443

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9109

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9079

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9078

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9050

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8939

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8891

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8717

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8566

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8539

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8376

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8361

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8280

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8055

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7939

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7565

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7217

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6963

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6397

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6341

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6201

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6064

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6016

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6009

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5898

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5611

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5530

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5505

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5071

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5047

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5029

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4988

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4843

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4637

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4493

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4334

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4113

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3957

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3763

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3573

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3364

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3293

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3046

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2907

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2903

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2818

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2726

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2158

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2128

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2037

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1911

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1859

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1833

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1609

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1512

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1212

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1127

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0921

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0846

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0739

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0684

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0651

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0563

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0555

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`)