TreeWAS – [F20.0] Paranoid schizophrenia

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
rs11876941 lBF = `3.27545` Chr`18` : `50,906,031`	0.994	0.006	0.000
rs62097986 lBF = `5.33339` Chr`18` : `50,818,827`	0.992	0.008	0.000
rs4632195 lBF = `4.33747` Chr`18` : `50,746,748`	0.989	0.011	0.000
rs1822881 lBF = `3.00061` Chr`2` : `146,044,052`	0.984	0.016	0.000
rs11687420 lBF = `3.00864` Chr`2` : `146,045,565`	0.983	0.017	0.000
rs13407123 lBF = `2.79533` Chr`2` : `146,092,756`	0.981	0.019	0.000
rs9391253 lBF = `2.48326` Chr`6` : `105,367,616`	0.978	0.022	0.000
rs62100766 lBF = `5.58248` Chr`18` : `50,737,358`	0.977	0.023	0.000
rs10180522 lBF = `2.48654` Chr`2` : `146,071,853`	0.973	0.027	0.000
rs62100765 lBF = `5.27252` Chr`18` : `50,735,418`	0.968	0.032	0.000
rs4372758 lBF = `5.5759` Chr`18` : `50,683,306`	0.967	0.033	0.000
rs314263 lBF = `1.77224` Chr`6` : `105,392,745`	0.000	0.044	0.956
rs13180087 lBF = `2.35122` Chr`5` : `45,265,768`	0.955	0.045	0.000
rs7759938 lBF = `1.62751` Chr`6` : `105,378,954`	0.000	0.050	0.950
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.950	0.050	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.945	0.055	0.000
rs9275580 lBF = `252.588` Chr`6` : `32,679,462`	0.933	0.067	0.000
rs9275555 lBF = `255.458` Chr`6` : `32,677,088`	0.931	0.069	0.000
rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.930	0.070	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.927	0.073	0.000
rs6681460 lBF = `3.57971` Chr`1` : `67,123,057`	0.917	0.083	0.000
rs9275595 lBF = `259.515` Chr`6` : `32,681,355`	0.912	0.088	0.000
rs7749983 lBF = `2.13387` Chr`6` : `129,874,355`	0.000	0.090	0.910
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.902	0.098	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.891	0.109	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.882	0.118	0.000
rs1867631 lBF = `1.63686` Chr`1` : `67,046,126`	0.880	0.120	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.871	0.129	0.000
rs6127471 lBF = `0.88988` Chr`20` : `36,844,038`	0.869	0.131	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.869	0.131	0.000
rs1393350 lBF = `26.0475` Chr`11` : `89,011,046`	0.867	0.133	0.000
rs17470137 lBF = `1.05279` Chr`5` : `122,531,347`	0.867	0.133	0.000
rs62437750 lBF = `8.76001` Chr`6` : `145,518,570`	0.863	0.137	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.862	0.138	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.858	0.142	0.000
rs9275371 lBF = `239.231` Chr`6` : `32,668,296`	0.856	0.144	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.855	0.145	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.851	0.149	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.850	0.150	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.842	0.158	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.842	0.158	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.839	0.160	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.836	0.164	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.832	0.168	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	0.832	0.168	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.831	0.169	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.826	0.174	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.825	0.175	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.824	0.176	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.823	0.177	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.823	0.177	0.000
rs9275406 lBF = `241.305` Chr`6` : `32,669,955`	0.822	0.178	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.822	0.178	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.820	0.180	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.818	0.182	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.817	0.183	0.000
rs5018343 lBF = `58.9799` Chr`6` : `32,710,119`	0.815	0.185	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.811	0.189	0.000
rs9276291 lBF = `58.1117` Chr`6` : `32,702,813`	0.810	0.190	0.000
rs9275375 lBF = `239.212` Chr`6` : `32,668,632`	0.807	0.193	0.000
rs9275388 lBF = `241.462` Chr`6` : `32,669,084`	0.805	0.195	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.804	0.196	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.800	0.200	0.000
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.797	0.203	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.797	0.203	0.000
rs9275418 lBF = `240.862` Chr`6` : `32,670,244`	0.796	0.204	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.795	0.205	0.000
rs9275390 lBF = `241.559` Chr`6` : `32,669,156`	0.795	0.205	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.790	0.210	0.000
rs1757945 lBF = `6.0069` Chr`9` : `81,339,569`	0.000	0.213	0.787
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.785	0.215	0.000
rs11672983 lBF = `0.619516` Chr`19` : `55,383,051`	0.785	0.215	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.784	0.216	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.784	0.216	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.784	0.216	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.781	0.219	0.000
rs9275440 lBF = `239.189` Chr`6` : `32,671,596`	0.781	0.219	0.000
rs9275407 lBF = `237.54` Chr`6` : `32,670,037`	0.777	0.223	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.777	0.223	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.772	0.228	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.772	0.228	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.767	0.233	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.765	0.235	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.764	0.236	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.761	0.239	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.756	0.244	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.756	0.244	0.000
rs314276 lBF = `0.86958` Chr`6` : `105,407,999`	0.000	0.244	0.756
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.756	0.244	0.000
rs17411949 lBF = `4.20269` Chr`3` : `140,099,693`	0.755	0.245	0.000
rs5029394 lBF = `57.4101` Chr`6` : `32,695,082`	0.755	0.245	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.754	0.246	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.754	0.246	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.752	0.248	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.751	0.249	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.751	0.249	0.000
rs4703516 lBF = `0.960393` Chr`5` : `80,654,966`	0.750	0.250	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.748	0.252	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.747	0.253	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.747	0.253	0.000
rs116927146 lBF = `15.0921` Chr`3` : `152,264,287`	0.747	0.253	0.000
rs9275399 lBF = `243.294` Chr`6` : `32,669,712`	0.746	0.254	0.000
rs17368890 lBF = `2.18377` Chr`11` : `102,752,600`	0.746	0.254	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.745	0.255	0.000
rs1847134 lBF = `23.2132` Chr`11` : `89,005,253`	0.744	0.256	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.744	0.256	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.743	0.257	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.742	0.258	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.742	0.258	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.742	0.258	0.000
rs9275749 lBF = `56.2717` Chr`6` : `32,689,056`	0.741	0.259	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.740	0.260	0.000
rs3129736 lBF = `57.9534` Chr`6` : `32,685,953`	0.738	0.262	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.737	0.263	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.737	0.263	0.000
rs9275994 lBF = `56.7024` Chr`6` : `32,694,296`	0.735	0.265	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.734	0.266	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.733	0.267	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.732	0.268	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.732	0.268	0.000
rs10975740 lBF = `5.23448` Chr`9` : `676,741`	0.731	0.268	0.000
rs7741604 lBF = `5.41215` Chr`6` : `20,731,524`	0.731	0.269	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.730	0.270	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.730	0.270	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.727	0.273	0.000
Affx-4564118 lBF = `58.8162` Chr`1` : `114,448,389`	0.725	0.275	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.724	0.276	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.724	0.276	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.723	0.277	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.723	0.277	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.722	0.278	0.000
rs13245899 lBF = `1.31003` Chr`7` : `100,497,131`	0.720	0.280	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.720	0.280	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.719	0.281	0.000
rs7773694 lBF = `58.2027` Chr`6` : `32,706,334`	0.719	0.281	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.719	0.281	0.000
rs7773068 lBF = `57.214` Chr`6` : `32,706,234`	0.718	0.282	0.000
rs72829251 lBF = `5.09993` Chr`6` : `7,911,982`	0.717	0.283	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.717	0.283	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.716	0.284	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.716	0.284	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.715	0.285	0.000
rs9275765 lBF = `56.5539` Chr`6` : `32,689,324`	0.715	0.285	0.000
rs72983521 lBF = `3.48687` Chr`11` : `102,730,033`	0.713	0.287	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.713	0.287	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.713	0.287	0.000
rs61493282 lBF = `2.16805` Chr`11` : `102,754,868`	0.711	0.289	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.711	0.289	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.709	0.291	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.709	0.291	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.709	0.291	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.706	0.294	0.000
rs7771946 lBF = `56.8223` Chr`6` : `32,698,800`	0.705	0.295	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.705	0.295	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.705	0.295	0.000
rs9275700 lBF = `56.5748` Chr`6` : `32,688,055`	0.703	0.297	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.703	0.297	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.702	0.297	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.702	0.298	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.700	0.300	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.699	0.301	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.699	0.301	0.000
rs314268 lBF = `0.849382` Chr`6` : `105,417,978`	0.000	0.302	0.698
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.697	0.303	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.697	0.303	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.696	0.303	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.695	0.305	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.695	0.305	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.694	0.306	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.693	0.307	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.692	0.308	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.690	0.310	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.689	0.311	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.689	0.311	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.689	0.311	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.688	0.312	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.688	0.312	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.687	0.313	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.687	0.313	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.687	0.313	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.686	0.314	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.686	0.314	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.685	0.315	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.685	0.315	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.684	0.316	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.681	0.319	0.000
rs17201763 lBF = `16.7746` Chr`6` : `32,185,246`	0.681	0.319	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.681	0.319	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.680	0.320	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.679	0.321	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.679	0.321	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.678	0.322	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.678	0.322	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.677	0.323	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.677	0.323	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.676	0.324	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.675	0.325	0.000
rs2857208 lBF = `23.1071` Chr`6` : `32,743,103`	0.000	0.326	0.674
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.672	0.328	0.000
rs9275772 lBF = `57.4393` Chr`6` : `32,689,503`	0.672	0.328	0.000
rs7775228 lBF = `52.346` Chr`6` : `32,658,079`	0.000	0.328	0.672
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.672	0.328	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.671	0.329	0.000
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rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.568	0.432	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.568	0.432	0.000
rs113864525 lBF = `5.65687` Chr`9` : `136,473,053`	0.568	0.432	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.568	0.432	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.568	0.432	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.568	0.432	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.568	0.432	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.567	0.433	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.567	0.433	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.566	0.434	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.566	0.434	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.566	0.434	0.000
rs77455275 lBF = `13.8714` Chr`1` : `24,627,899`	0.566	0.434	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.565	0.434	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.565	0.435	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.565	0.435	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.564	0.436	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.564	0.436	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.564	0.436	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.563	0.437	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.563	0.437	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.563	0.437	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.562	0.438	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.562	0.438	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.562	0.438	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.562	0.438	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.562	0.438	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.561	0.439	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.561	0.439	0.000
rs3025343 lBF = `5.75082` Chr`9` : `136,478,355`	0.560	0.439	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.560	0.440	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.560	0.440	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.559	0.441	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.559	0.441	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.559	0.441	0.000
rs62445717 lBF = `5.47231` Chr`7` : `52,371,416`	0.558	0.442	0.000
rs2844510 lBF = `60.6952` Chr`6` : `31,410,408`	0.000	0.442	0.558
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.558	0.442	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.557	0.443	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.556	0.444	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.555	0.445	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.555	0.445	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.555	0.445	0.000
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.555	0.445	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.555	0.445	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.555	0.445	0.000
rs1077989 lBF = `0.318625` Chr`14` : `67,975,822`	0.554	0.446	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.552	0.448	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.552	0.448	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.552	0.448	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.552	0.448	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.551	0.449	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.551	0.449	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.551	0.449	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.549	0.450	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.549	0.450	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.549	0.451	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.549	0.451	0.000
rs115360810 lBF = `28.1258` Chr`6` : `32,796,310`	0.549	0.451	0.000
rs12666989 lBF = `1.62541` Chr`7` : `100,486,754`	0.549	0.451	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.548	0.451	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.548	0.452	0.000
rs9275743 lBF = `56.409` Chr`6` : `32,688,925`	0.547	0.453	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.546	0.453	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.546	0.454	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.546	0.454	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.546	0.454	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.546	0.454	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.546	0.454	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.546	0.454	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.546	0.454	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.545	0.455	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.544	0.456	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.544	0.456	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.544	0.456	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.543	0.456	0.000
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.543	0.457	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.543	0.457	0.000
rs6916779 lBF = `192.086` Chr`6` : `32,684,317`	0.543	0.457	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.543	0.457	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.543	0.457	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.542	0.458	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.542	0.458	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.542	0.458	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.542	0.458	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.542	0.458	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.542	0.458	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.541	0.458	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.541	0.459	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.541	0.459	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.541	0.459	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.541	0.459	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.540	0.460	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.540	0.460	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.540	0.460	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 X0260

log Bayes Factor = 16.5601

contains 2 variants

0.9547

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3984

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3308

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.9925

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9922

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9767

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9711

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9667

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9638

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9625

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9592

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9541

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9471

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9368

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9351

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9189

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9094

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9063

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8991

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8884

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8867

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8759

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8676

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8658

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8655

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8635

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8613

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8585

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8579

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8577

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8561

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8533

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8361

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8338

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8314

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8198

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8172

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8135

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7971

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7842

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7800

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7684

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7682

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7578

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7527

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7518

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7384

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7293

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7187

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7152

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7054

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6986

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6984

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6937

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6870

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6854

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6851

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6821

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6787

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6784

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6664

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6662

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6463

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6425

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.6394

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6307

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6262

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6232

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6199

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6099

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6022

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5889

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5837

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5815

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5702

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5682

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5452

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5429

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5391

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5363

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5363

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5357

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5301

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5269

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5245

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5231

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5175

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5149

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5120

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5042

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5000

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4936

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4919

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4829

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4799

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4770

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4766

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4693

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4643

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4627

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4503

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.4443

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4363

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4293

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4287

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4230

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4154

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4140

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4118

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4070

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4011

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3883

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3857

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3835

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3817

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3816

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3720

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3719

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3572

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3541

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3494

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.3453

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3435

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3429

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3196

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3006

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2890

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2861

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2823

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2695

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2671

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2653

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2645

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2579

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2562

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2520

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2463

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2405

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2392

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2293

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2279

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2217

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2201

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2179

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2179

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2167

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2130

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1930

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1862

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1819

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1740

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1689

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1682

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1670

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1653

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1574

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1565

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1558

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1544

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1527

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1406

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1377

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1332

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1288

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1257

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1229

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1180

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1138

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1102

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1091

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1054

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1052

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1049

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1049

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0989

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0973

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0923

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0816

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0751

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0751

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0706

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0685

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0566

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0537

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0535

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0530

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`)