TreeWAS – [Z22.3] Carrier of other specified bacterial diseases

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
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.955	0.045	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.951	0.049	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.947	0.053	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.943	0.057	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.942	0.058	0.000
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.942	0.058	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.937	0.063	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.936	0.064	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.920	0.080	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.915	0.085	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.905	0.095	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.905	0.095	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.900	0.100	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.899	0.101	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.898	0.102	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.897	0.103	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.895	0.105	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.889	0.111	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.889	0.111	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.880	0.120	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.878	0.122	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.878	0.122	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.877	0.123	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.873	0.127	0.000
rs114531066 lBF = `12.089` Chr`1` : `241,879,430`	0.873	0.127	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.869	0.131	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.869	0.131	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.868	0.132	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.851	0.149	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.848	0.152	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.847	0.153	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.843	0.157	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.841	0.159	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.837	0.163	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.836	0.164	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.836	0.164	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.833	0.167	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.831	0.169	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.831	0.169	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.830	0.170	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.828	0.172	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.828	0.172	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.827	0.173	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.820	0.180	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.812	0.188	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.812	0.188	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.810	0.190	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.807	0.193	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.807	0.193	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.806	0.194	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.806	0.194	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.804	0.196	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.802	0.198	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.802	0.198	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.802	0.198	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.800	0.200	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.799	0.201	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.794	0.206	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.793	0.207	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.790	0.210	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.788	0.212	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.779	0.221	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.779	0.221	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.775	0.225	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.774	0.226	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.770	0.230	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.770	0.230	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.769	0.231	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.767	0.233	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.767	0.233	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.766	0.234	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.766	0.234	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.765	0.235	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.764	0.236	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.763	0.237	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.761	0.239	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.760	0.240	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.760	0.240	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.756	0.244	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.754	0.246	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.754	0.246	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.753	0.247	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.749	0.251	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.748	0.252	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.745	0.255	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.745	0.255	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.742	0.258	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.741	0.259	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.741	0.259	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.740	0.260	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.737	0.263	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.737	0.263	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.735	0.265	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.731	0.269	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.730	0.270	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.725	0.275	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.724	0.276	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.717	0.283	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.717	0.283	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.717	0.283	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.716	0.284	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.716	0.284	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.716	0.284	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.715	0.285	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.715	0.285	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.714	0.286	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.712	0.288	0.000
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.711	0.289	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.711	0.289	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.710	0.290	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.710	0.290	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.708	0.292	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.708	0.292	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.705	0.295	0.000
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.703	0.297	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.703	0.297	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.702	0.298	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.702	0.298	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.700	0.299	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.700	0.300	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.700	0.300	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.700	0.300	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.700	0.300	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.698	0.302	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.698	0.302	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.698	0.302	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.698	0.302	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.696	0.304	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.695	0.305	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.694	0.306	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.693	0.307	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.691	0.309	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.690	0.310	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.689	0.311	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.689	0.311	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.689	0.311	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.688	0.312	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.686	0.314	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.685	0.315	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.684	0.316	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.683	0.317	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.683	0.317	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.682	0.318	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.682	0.318	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.682	0.318	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.682	0.318	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.680	0.320	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.680	0.320	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.679	0.321	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.678	0.321	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.678	0.322	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.678	0.322	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.678	0.322	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.678	0.322	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.676	0.324	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.676	0.324	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.676	0.324	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.675	0.325	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.675	0.325	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.673	0.327	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.671	0.329	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.670	0.330	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.669	0.331	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.669	0.331	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.668	0.332	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.664	0.335	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.663	0.337	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.663	0.337	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.662	0.338	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.662	0.338	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.662	0.338	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.662	0.338	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.658	0.342	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.657	0.343	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.657	0.343	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.657	0.343	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.657	0.343	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.656	0.344	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.656	0.344	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.653	0.347	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.652	0.348	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.652	0.348	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.652	0.348	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.651	0.349	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.651	0.349	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.651	0.349	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.650	0.350	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.648	0.352	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.646	0.354	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.645	0.355	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.645	0.355	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.644	0.356	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.644	0.356	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.643	0.357	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.643	0.357	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.642	0.358	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.642	0.358	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.642	0.358	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.641	0.359	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.640	0.360	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.640	0.360	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.640	0.360	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.639	0.361	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.639	0.361	0.000
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rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.637	0.363	0.000
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rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.632	0.368	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.631	0.369	0.000
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rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.631	0.369	0.000
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rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.625	0.375	0.000
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rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.617	0.383	0.000
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rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.613	0.387	0.000
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rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.611	0.389	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.610	0.390	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.610	0.390	0.000
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rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.610	0.390	0.000
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rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.608	0.392	0.000
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rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.606	0.394	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.604	0.396	0.000
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rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.603	0.397	0.000
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rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.602	0.398	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.602	0.398	0.000
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rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.601	0.399	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.601	0.399	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.600	0.400	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.600	0.400	0.000
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rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.598	0.402	0.000
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rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.592	0.408	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.592	0.408	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.592	0.408	0.000
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rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.592	0.408	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.592	0.408	0.000
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rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.591	0.409	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.591	0.409	0.000
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rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.589	0.411	0.000
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rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.587	0.413	0.000
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rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.583	0.417	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.583	0.417	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.582	0.418	0.000
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rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.582	0.418	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.582	0.418	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.582	0.418	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.582	0.418	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.582	0.418	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.582	0.418	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.581	0.419	0.000
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rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.535	0.465	0.000
rs202205027 lBF = `17.9756` Chr`1` : `224,621,538`	0.534	0.466	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.533	0.467	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.533	0.467	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.533	0.467	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.533	0.467	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.532	0.468	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.531	0.468	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.531	0.469	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.531	0.469	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.530	0.470	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.530	0.470	0.000
rs114112990 lBF = `28.3835` Chr`1` : `1,334,519`	0.530	0.470	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.530	0.470	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.530	0.470	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.529	0.471	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.529	0.471	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.529	0.471	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.528	0.471	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.528	0.472	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.528	0.472	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.528	0.472	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.527	0.473	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.525	0.475	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.525	0.475	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.525	0.475	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.525	0.475	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.525	0.475	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.525	0.475	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.525	0.475	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.524	0.475	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.524	0.476	0.000
rs79203142 lBF = `7.84134` Chr`11` : `21,308,589`	0.524	0.476	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.523	0.477	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.522	0.478	0.000
rs112833835 lBF = `14.7107` Chr`1` : `225,084,059`	0.521	0.479	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.521	0.479	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.520	0.480	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.519	0.481	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.519	0.481	0.000
rs76574709 lBF = `17.264` Chr`1` : `12,743,326`	0.519	0.481	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.519	0.481	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.519	0.481	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.518	0.482	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.518	0.482	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.518	0.482	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.517	0.483	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.517	0.483	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.516	0.484	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.515	0.485	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.514	0.486	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.514	0.486	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.513	0.487	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.513	0.487	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.513	0.487	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.512	0.487	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.512	0.488	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.512	0.488	0.000
rs881826 lBF = `5.51054` Chr`6` : `112,301,625`	0.511	0.489	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.511	0.489	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.511	0.489	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.511	0.489	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.511	0.489	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.511	0.489	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.511	0.489	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.510	0.490	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.510	0.490	0.000
rs115699453 lBF = `7.67843` Chr`1` : `156,827,703`	0.510	0.490	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.508	0.492	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.508	0.492	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.508	0.492	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.507	0.492	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.507	0.493	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.507	0.493	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.507	0.493	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.504	0.495	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.504	0.496	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.504	0.496	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.504	0.496	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.503	0.497	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.503	0.497	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.503	0.497	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.503	0.497	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.503	0.497	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.503	0.497	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.502	0.497	0.000
rs3816989 lBF = `5.81132` Chr`1` : `67,242,087`	0.502	0.498	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.502	0.498	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.501	0.499	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.501	0.499	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.501	0.499	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.500	0.500	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.499	0.501	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.499	0.501	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.499	0.501	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.499	0.501	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.499	0.501	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

0.2799

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2082

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1801

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9999

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9995

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9994

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9993

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9986

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9971

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9952

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9946

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9946

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9938

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9935

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9923

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9922

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9915

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9883

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9858

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9849

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9797

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9745

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9686

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9663

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9644

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9638

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9603

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9566

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9496

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9452

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9451

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9244

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9243

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9205

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9065

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9025

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8952

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8948

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8860

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8808

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8722

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8669

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8657

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8527

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8497

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8456

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8360

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8352

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8321

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8258

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8246

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8102

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7991

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7946

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7933

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7766

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7764

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7761

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7610

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7543

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7453

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7183

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7153

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7080

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7069

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6898

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.6670

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6621

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6535

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6375

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6265

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6256

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5864

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5688

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5679

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5629

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5477

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5326

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5309

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5193

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4907

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4627

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4422

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4344

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4335

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4331

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4089

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4085

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3977

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3904

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3865

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3819

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3586

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3470

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3442

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3438

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3331

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3323

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3299

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3041

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3015

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2997

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2985

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2858

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2608

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2603

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2591

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2583

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2491

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2475

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2378

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2165

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2164

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2055

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2038

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2016

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1980

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1975

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1834

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1830

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1821

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1814

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1750

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1674

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1597

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1404

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1310

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1257

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1141

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1140

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1130

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0972

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0962

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0961

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0957

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0950

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0883

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0757

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0732

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0704

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0700

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0691

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0682

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0636

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0592

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0591

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0553

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0538

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`)