TreeWAS – [B95.6] Staphylococcus aureus 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
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.981	0.019	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.963	0.037	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.943	0.057	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.938	0.062	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.926	0.074	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.908	0.092	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.864	0.136	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.836	0.164	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.834	0.166	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.830	0.170	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.810	0.190	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.803	0.197	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.780	0.220	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.770	0.230	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.768	0.232	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.762	0.238	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.737	0.263	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.725	0.275	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.706	0.294	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.695	0.305	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.679	0.321	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.668	0.332	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.668	0.332	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.665	0.335	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.660	0.340	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.654	0.346	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.650	0.350	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.643	0.357	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.630	0.370	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.608	0.392	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.593	0.407	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.585	0.415	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.583	0.417	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.582	0.418	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.573	0.427	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.558	0.442	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.529	0.471	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.528	0.472	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.519	0.481	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.508	0.492	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.497	0.503	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.487	0.513	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.478	0.522	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.475	0.525	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.475	0.525	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.468	0.532	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.458	0.542	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.454	0.546	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.452	0.548	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.572	0.428
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.423	0.577	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.399	0.601	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.356	0.644	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.350	0.650	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.348	0.652	0.000
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.656	0.344
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.329	0.671	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.328	0.672	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.323	0.677	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.316	0.684	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.310	0.690	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.297	0.703	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.294	0.706	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.285	0.715	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.285	0.715	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.282	0.718	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.280	0.720	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.267	0.732	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.267	0.733	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.263	0.737	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.260	0.740	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.257	0.743	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.252	0.748	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.252	0.748	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.251	0.748	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.250	0.750	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.250	0.750	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.245	0.754	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.238	0.762	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.238	0.762	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.235	0.765	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.232	0.767	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.232	0.767	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.230	0.770	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.228	0.772	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.227	0.773	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.222	0.778	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.215	0.785	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.214	0.786	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.206	0.794	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.206	0.794	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.195	0.805	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.191	0.809	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.187	0.813	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.186	0.814	0.000
rs12589327 lBF = `0.0589132` Chr`14` : `82,299,173`	0.185	0.815	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.183	0.816	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.180	0.819	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.168	0.832	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.164	0.836	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.153	0.847	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.144	0.856	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.143	0.857	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.140	0.859	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.137	0.863	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.133	0.867	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.126	0.874	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.121	0.879	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.116	0.884	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.112	0.887	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.110	0.890	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.108	0.891	0.001
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.107	0.893	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.099	0.901	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.095	0.905	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.087	0.913	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.085	0.914	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.084	0.915	0.001
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.083	0.917	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.078	0.922	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.077	0.922	0.001
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.077	0.923	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.076	0.923	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.077	0.923	0.000
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.075	0.924	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.072	0.925	0.002
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.072	0.928	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.071	0.929	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.071	0.929	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.068	0.932	0.001
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.067	0.932	0.001
rs11623713 lBF = `0.147314` Chr`14` : `99,240,316`	0.068	0.932	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.066	0.933	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.066	0.934	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.064	0.935	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.064	0.935	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.058	0.941	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.058	0.942	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.056	0.944	0.000
rs17564083 lBF = `5.59903` Chr`14` : `29,967,193`	0.055	0.945	0.000
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.054	0.945	0.000
rs8009420 lBF = `0.685846` Chr`14` : `54,263,851`	0.052	0.948	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.048	0.951	0.001
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.046	0.954	0.000
rs148071215 lBF = `0.123842` Chr`14` : `83,272,653`	0.044	0.956	0.000
rs56146971 lBF = `-0.0277407` Chr`14` : `91,920,101`	0.000	0.956	0.044
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.038	0.961	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.037	0.963	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.036	0.963	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.035	0.965	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.035	0.965	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.033	0.967	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.027	0.973	0.000
rs74731421 lBF = `0.938135` Chr`14` : `38,210,286`	0.027	0.973	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.026	0.973	0.001
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.026	0.974	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.024	0.976	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.024	0.976	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.023	0.977	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.023	0.977	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.019	0.980	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.019	0.981	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.018	0.982	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.017	0.983	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.015	0.985	0.000
rs17098356 lBF = `-0.0821594` Chr`14` : `61,898,839`	0.000	0.986	0.014
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.014	0.986	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.013	0.987	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.987	0.013
rs17094273 lBF = `-0.0178062` Chr`14` : `97,103,807`	0.000	0.987	0.013
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.012	0.988	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.011	0.989	0.000
rs11158345 lBF = `-0.0553138` Chr`14` : `61,895,045`	0.011	0.989	0.000
rs6573333 lBF = `0.106706` Chr`14` : `61,308,337`	0.000	0.990	0.010
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.009	0.990	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.009	0.990	0.001
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.009	0.990	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.009	0.990	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.009	0.991	0.000
rs7148498 lBF = `-0.0201924` Chr`14` : `96,107,955`	0.000	0.991	0.009
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.006	0.992	0.002
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.007	0.992	0.000
rs75987388 lBF = `-0.0128527` Chr`14` : `70,385,707`	0.000	0.992	0.008
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.008	0.992	0.000
rs17175227 lBF = `0.0727778` Chr`14` : `70,502,050`	0.006	0.994	0.000
rs72627123 lBF = `0.230839` Chr`14` : `74,368,331`	0.006	0.994	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.006	0.994	0.000
rs2300835 lBF = `0.0444221` Chr`14` : `33,207,522`	0.006	0.994	0.000
rs945270 lBF = `-0.0450119` Chr`14` : `56,200,473`	0.000	0.995	0.005
rs148114321 lBF = `0.639906` Chr`14` : `36,213,442`	0.005	0.995	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.005	0.995	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.004	0.996	0.000
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.004	0.996	0.001
rs8005745 lBF = `-0.00505689` Chr`14` : `62,185,295`	0.000	0.996	0.004
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.004	0.996	0.000
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.996	0.004
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.003	0.996	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.003	0.997	0.000
rs10151686 lBF = `0.169654` Chr`14` : `30,466,466`	0.003	0.997	0.000
rs2784505 lBF = `0.111834` Chr`14` : `62,432,013`	0.000	0.997	0.003
rs35107139 lBF = `4.94188` Chr`14` : `54,419,106`	0.003	0.997	0.000
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rs1471356 lBF = `-0.0763523` Chr`14` : `98,303,331`	0.000	1.000	0.000
rs1075472 lBF = `1.868` Chr`14` : `93,108,131`	0.000	1.000	0.000
rs112560164 lBF = `1.79004` Chr`14` : `93,112,924`	0.000	1.000	0.000
rs3811273 lBF = `-0.026019` Chr`14` : `22,715,158`	0.000	1.000	0.000
rs8015016 lBF = `-0.0736639` Chr`14` : `96,122,408`	0.000	1.000	0.000
rs57561811 lBF = `0.0781139` Chr`14` : `61,572,178`	0.000	1.000	0.000
rs3811321 lBF = `-0.00354109` Chr`14` : `22,481,824`	0.000	1.000	0.000
rs1049564 lBF = `-0.0101091` Chr`14` : `20,940,606`	0.000	1.000	0.000
rs10134944 lBF = `-0.0110375` Chr`14` : `58,119,196`	0.000	1.000	0.000
rs61985136 lBF = `-0.0305226` Chr`14` : `68,769,199`	0.000	1.000	0.000
rs118036572 lBF = `5.2328` Chr`14` : `69,715,870`	0.000	1.000	0.000
rs1957894 lBF = `0.0672292` Chr`14` : `61,908,111`	0.000	1.000	0.000
rs7146198 lBF = `0.0436678` Chr`14` : `70,644,169`	0.000	1.000	0.000
rs1956529 lBF = `0.0214888` Chr`14` : `68,788,924`	0.000	1.000	0.000
rs8017304 lBF = `-0.00927861` Chr`14` : `68,785,077`	0.000	1.000	0.000
rs4898641 lBF = `-0.0381064` Chr`14` : `38,013,787`	0.000	1.000	0.000
rs2526932 lBF = `-0.0759756` Chr`14` : `73,081,068`	0.000	1.000	0.000
rs4322600 lBF = `-0.0801717` Chr`14` : `88,295,600`	0.000	1.000	0.000
rs1957895 lBF = `0.0985856` Chr`14` : `61,908,332`	0.000	1.000	0.000
rs17127713 lBF = `0.0575476` Chr`14` : `55,122,918`	0.000	1.000	0.000
rs8014194 lBF = `0.0401324` Chr`14` : `95,720,678`	0.000	1.000	0.000
rs6576132 lBF = `0.0344887` Chr`14` : `28,728,111`	0.000	1.000	0.000
rs7152554 lBF = `-0.0187462` Chr`14` : `84,597,385`	0.000	1.000	0.000
rs113317269 lBF = `-0.0256054` Chr`14` : `45,046,629`	0.000	1.000	0.000
rs2071047 lBF = `0.498389` Chr`14` : `54,418,411`	0.000	1.000	0.000
rs10132280 lBF = `0.150928` Chr`14` : `25,928,179`	0.000	1.000	0.000
rs17657012 lBF = `0.0512296` Chr`14` : `55,176,344`	0.000	1.000	0.000
rs1474476 lBF = `-0.0162756` Chr`14` : `22,607,502`	0.000	1.000	0.000
rs61227778 lBF = `-0.021244` Chr`14` : `24,578,916`	0.000	1.000	0.000
rs2069590 lBF = `-0.0374927` Chr`14` : `96,708,782`	0.000	1.000	0.000
rs3783637 lBF = `-0.0379375` Chr`14` : `55,348,118`	0.000	1.000	0.000
rs1286083 lBF = `-0.0429057` Chr`14` : `91,442,779`	0.000	1.000	0.000
rs1168987 lBF = `-0.0455425` Chr`14` : `36,397,680`	0.000	1.000	0.000
rs2402444 lBF = `0.955774` Chr`14` : `94,765,672`	0.000	1.000	0.000
rs7140285 lBF = `0.872006` Chr`14` : `88,462,988`	0.000	1.000	0.000
rs2039485 lBF = `0.250338` Chr`14` : `32,353,250`	0.000	1.000	0.000
rs12893597 lBF = `0.192252` Chr`14` : `76,812,695`	0.000	1.000	0.000
rs4906172 lBF = `0.141726` Chr`14` : `102,454,933`	0.000	1.000	0.000
rs17799178 lBF = `0.057419` Chr`14` : `90,605,436`	0.000	1.000	0.000
rs10143078 lBF = `0.0301057` Chr`14` : `70,881,489`	0.000	1.000	0.000
rs146647518 lBF = `0.0130713` Chr`14` : `67,529,620`	0.000	1.000	0.000
rs36032616 lBF = `0.00464787` Chr`14` : `72,484,156`	0.000	1.000	0.000
rs4902141 lBF = `-0.0170287` Chr`14` : `62,968,395`	0.000	1.000	0.000
rs225848 lBF = `-0.0228291` Chr`14` : `30,594,657`	0.000	1.000	0.000
rs8023225 lBF = `-0.0246606` Chr`14` : `83,354,938`	0.000	1.000	0.000
rs2029614 lBF = `-0.030753` Chr`14` : `99,547,267`	0.000	1.000	0.000
rs17460823 lBF = `-0.0444598` Chr`14` : `33,586,563`	0.000	1.000	0.000
rs4902100 lBF = `-0.0575153` Chr`14` : `62,549,819`	0.000	1.000	0.000
rs915071 lBF = `-0.0609337` Chr`14` : `32,433,858`	0.000	1.000	0.000
rs10144042 lBF = `-0.0653651` Chr`14` : `98,499,458`	0.000	1.000	0.000
rs116909374 lBF = `0.909579` Chr`14` : `36,738,361`	0.000	1.000	0.000
rs7143963 lBF = `0.0204879` Chr`14` : `103,304,425`	0.000	1.000	0.000
rs3783863 lBF = `0.0157879` Chr`14` : `89,776,745`	0.000	1.000	0.000
rs17832777 lBF = `0.00143952` Chr`14` : `56,886,686`	0.000	1.000	0.000
rs751837 lBF = `-0.00319414` Chr`14` : `103,484,825`	0.000	1.000	0.000
rs4905226 lBF = `-0.0710379` Chr`14` : `95,107,973`	0.000	1.000	0.000
rs7144383 lBF = `-0.0726046` Chr`14` : `48,040,375`	0.000	1.000	0.000
rs17111530 lBF = `0.778096` Chr`14` : `81,598,912`	0.000	1.000	0.000
rs17793829 lBF = `0.507042` Chr`14` : `91,022,185`	0.000	1.000	0.000
rs2842339 lBF = `0.299744` Chr`14` : `68,986,999`	0.000	1.000	0.000
rs17100926 lBF = `0.161915` Chr`14` : `72,194,401`	0.000	1.000	0.000
rs17118552 lBF = `0.0295303` Chr`14` : `47,874,557`	0.000	1.000	0.000
rs4454866 lBF = `0.0230011` Chr`14` : `40,676,918`	0.000	1.000	0.000
rs117297873 lBF = `0.00850646` Chr`14` : `91,870,330`	0.000	1.000	0.000
rs36563 lBF = `-0.0187868` Chr`14` : `71,352,648`	0.000	1.000	0.000
rs76788097 lBF = `-0.0232487` Chr`14` : `61,729,493`	0.000	1.000	0.000
rs1867082 lBF = `-0.0275107` Chr`14` : `85,737,169`	0.000	1.000	0.000
rs210359 lBF = `-0.0326598` Chr`14` : `54,167,472`	0.000	1.000	0.000
rs12895275 lBF = `-0.0366563` Chr`14` : `72,716,515`	0.000	1.000	0.000
rs2028414 lBF = `-0.0591199` Chr`14` : `105,349,388`	0.000	1.000	0.000
rs8014067 lBF = `-0.0626895` Chr`14` : `62,553,257`	0.000	1.000	0.000
rs8013477 lBF = `-0.0669339` Chr`14` : `49,534,425`	0.000	1.000	0.000
rs7150255 lBF = `-0.0833397` Chr`14` : `104,912,876`	0.000	1.000	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.000	1.000	0.000
rs17102423 lBF = `1.06595` Chr`14` : `65,604,728`	0.000	1.000	0.000
rs11156875 lBF = `0.288231` Chr`14` : `35,619,816`	0.000	1.000	0.000
rs732765 lBF = `0.165511` Chr`14` : `75,365,729`	0.000	1.000	0.000
rs17124581 lBF = `0.0823776` Chr`14` : `88,826,682`	0.000	1.000	0.000
rs55951657 lBF = `0.0422951` Chr`14` : `74,074,732`	0.000	1.000	0.000
rs11847697 lBF = `0.027204` Chr`14` : `30,515,112`	0.000	1.000	0.000
rs12897644 lBF = `0.0206732` Chr`14` : `95,838,401`	0.000	1.000	0.000
rs1950832 lBF = `0.0167774` Chr`14` : `42,053,901`	0.000	1.000	0.000
rs11159346 lBF = `-0.0172289` Chr`14` : `78,750,987`	0.000	1.000	0.000
rs1951681 lBF = `-0.0266056` Chr`14` : `32,851,025`	0.000	1.000	0.000
rs1256531 lBF = `-0.02696` Chr`14` : `65,747,759`	0.000	1.000	0.000
rs2038256 lBF = `-0.0290766` Chr`14` : `29,249,349`	0.000	1.000	0.000
rs7141238 lBF = `-0.0308401` Chr`14` : `61,734,640`	0.000	1.000	0.000
rs4902562 lBF = `-0.0571821` Chr`14` : `68,731,458`	0.000	1.000	0.000
rs2333194 lBF = `-0.0650937` Chr`14` : `73,767,214`	0.000	1.000	0.000
rs11624056 lBF = `-0.0677856` Chr`14` : `87,506,248`	0.000	1.000	0.000
rs227869 lBF = `-0.0748106` Chr`14` : `22,956,710`	0.000	1.000	0.000
rs11850957 lBF = `-0.0899146` Chr`14` : `25,479,542`	0.000	1.000	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2877

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2473

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

1.0000

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

1.0000

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

1.0000

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9999

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9999

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9996

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9995

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9992

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9989

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9987

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9985

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9978

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9951

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9949

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9889

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9884

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9884

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9884

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9859

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9853

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9833

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9827

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9822

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9637

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9397

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9370

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9321

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9317

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9291

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9240

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9226

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9186

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9126

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9054

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8946

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8730

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8728

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8693

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8618

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8519

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8374

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8313

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7918

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7596

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7575

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7382

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7358

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7105

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7089

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7016

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6982

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5450

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5338

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5272

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5062

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4710

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4680

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3889

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3829

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3728

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3405

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3328

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2873

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2801

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2694

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2582

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2288

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2166

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2061

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1985

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1889

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1832

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1787

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1470

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1307

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1196

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1142

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1100

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1075

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1059

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1029

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1029

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0863

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0791

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0754

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0728

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0636

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0621

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0563

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0535

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0503

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`)