TreeWAS – [T85.5] Mechanical complication of gastro-intestinal prosthetic devices, implants and grafts

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
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.984	0.016	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.967	0.033	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.967	0.033	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.966	0.034	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.943	0.057	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.941	0.059	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.940	0.060	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.934	0.066	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.927	0.073	0.000
rs1870323 lBF = `1.20012` Chr`11` : `86,188,152`	0.000	0.076	0.924
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.908	0.092	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.902	0.098	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.898	0.102	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.891	0.109	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.890	0.110	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.885	0.115	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.885	0.115	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.883	0.117	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.883	0.117	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.882	0.118	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.881	0.119	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.876	0.124	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.876	0.124	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.875	0.125	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.866	0.134	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.857	0.143	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.857	0.143	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.857	0.143	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.857	0.143	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.856	0.144	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.854	0.146	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.851	0.149	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.848	0.152	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.847	0.153	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.847	0.153	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.847	0.153	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.847	0.153	0.000
rs2881580 lBF = `10.3938` Chr`12` : `27,983,485`	0.845	0.155	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.842	0.158	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.841	0.159	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.840	0.160	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.839	0.161	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.838	0.162	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.837	0.163	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.837	0.163	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.835	0.165	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.833	0.167	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.829	0.171	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.828	0.172	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.827	0.172	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.824	0.176	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.823	0.177	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.823	0.177	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.822	0.178	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.820	0.180	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.819	0.181	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.818	0.182	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.817	0.183	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.815	0.185	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.814	0.186	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.812	0.188	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.811	0.189	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.809	0.191	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.808	0.192	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.807	0.193	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.806	0.194	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.805	0.195	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.802	0.198	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.802	0.198	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.801	0.199	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.801	0.199	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.799	0.201	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.798	0.202	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.797	0.203	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.796	0.204	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.796	0.204	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.796	0.204	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.795	0.205	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.795	0.205	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.794	0.206	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.794	0.206	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.793	0.207	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.793	0.207	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.793	0.207	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.792	0.208	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.792	0.208	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.791	0.209	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.791	0.209	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.791	0.209	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.791	0.209	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.791	0.209	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.790	0.210	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.789	0.211	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.789	0.211	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.788	0.212	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.788	0.212	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.787	0.213	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.787	0.213	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.786	0.214	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.786	0.214	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.784	0.216	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.784	0.216	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.784	0.216	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.780	0.220	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.779	0.221	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.778	0.222	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.777	0.223	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.776	0.224	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.775	0.224	0.000
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.775	0.225	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.775	0.225	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.775	0.225	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.775	0.225	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.226	0.774
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.773	0.227	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.772	0.228	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.772	0.228	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.771	0.229	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.771	0.229	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.771	0.229	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.770	0.230	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.770	0.230	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.768	0.232	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.767	0.233	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.767	0.233	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.766	0.234	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.766	0.234	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.766	0.234	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.765	0.235	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.763	0.237	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.763	0.237	0.000
rs36000907 lBF = `5.41451` Chr`5` : `45,183,148`	0.760	0.240	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.759	0.241	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.758	0.242	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.758	0.242	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.758	0.242	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.758	0.242	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.757	0.243	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.756	0.243	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.756	0.244	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.756	0.244	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.755	0.245	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.754	0.246	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.754	0.246	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.753	0.247	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.752	0.248	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.752	0.248	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.751	0.249	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.751	0.249	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.751	0.249	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.750	0.250	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.750	0.250	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.748	0.252	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.747	0.253	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.747	0.253	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.747	0.253	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.747	0.253	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.746	0.254	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.746	0.254	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.744	0.256	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.744	0.256	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.744	0.256	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.744	0.256	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.743	0.257	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.743	0.257	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.743	0.257	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.742	0.258	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.741	0.259	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.741	0.259	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.741	0.259	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.740	0.259	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.740	0.260	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.740	0.260	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.739	0.261	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.739	0.261	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.739	0.261	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.738	0.262	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.737	0.263	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.737	0.263	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.737	0.263	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.736	0.264	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.736	0.264	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.736	0.264	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.735	0.265	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.735	0.265	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.735	0.265	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.735	0.265	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.733	0.267	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.733	0.267	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.733	0.267	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.733	0.267	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.733	0.267	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.732	0.268	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.732	0.268	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.732	0.268	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.731	0.269	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.731	0.269	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.731	0.269	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.731	0.269	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.730	0.270	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.730	0.270	0.000
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rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.662	0.338	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.662	0.338	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.661	0.339	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.661	0.339	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.661	0.339	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.661	0.339	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.660	0.340	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.660	0.340	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.659	0.341	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.659	0.341	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.659	0.341	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.659	0.341	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.658	0.342	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.658	0.342	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.658	0.342	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.657	0.342	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.657	0.343	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.657	0.343	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.656	0.344	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.656	0.344	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.656	0.344	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.656	0.344	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.656	0.344	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.655	0.345	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.655	0.345	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.655	0.345	0.000
rs115464798 lBF = `21.2629` Chr`6` : `31,260,128`	0.655	0.345	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.654	0.345	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.654	0.346	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.654	0.346	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.654	0.346	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.654	0.346	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.653	0.347	0.000
rs112920510 lBF = `7.84215` Chr`4` : `95,488,920`	0.653	0.347	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.653	0.347	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.653	0.347	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.652	0.348	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.652	0.348	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.652	0.348	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.652	0.348	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.651	0.348	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.651	0.349	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.651	0.349	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.651	0.349	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.651	0.349	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.650	0.350	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.650	0.350	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.650	0.350	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.650	0.350	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.650	0.350	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.650	0.350	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.649	0.350	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.649	0.351	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.649	0.351	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.649	0.351	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.649	0.351	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.649	0.351	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.648	0.351	0.000
rs359965 lBF = `2.30351` Chr`2` : `219,840,891`	0.648	0.352	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.648	0.352	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.648	0.352	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.648	0.352	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.646	0.354	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.646	0.354	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.646	0.354	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.645	0.355	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.645	0.355	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.645	0.355	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.645	0.355	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.644	0.355	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.644	0.356	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.644	0.356	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.643	0.357	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.643	0.357	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.643	0.357	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.643	0.357	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.643	0.357	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.643	0.357	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.642	0.358	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.642	0.358	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.642	0.358	0.000
rs4129843 lBF = `8.18025` Chr`1` : `215,987,222`	0.642	0.358	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.641	0.359	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.641	0.359	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.640	0.360	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.640	0.360	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.640	0.360	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.639	0.361	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.639	0.361	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.638	0.362	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.638	0.362	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.638	0.362	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.638	0.362	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.638	0.362	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.638	0.362	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.638	0.362	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.638	0.362	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

0.7856

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5292

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9998

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9983

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9967

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9954

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9942

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9937

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9917

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9874

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9794

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9780

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9651

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9650

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9525

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9500

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9498

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9467

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9428

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9411

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9407

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9333

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9165

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9059

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9053

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9031

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9011

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8984

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8887

Cluster X0056

log Bayes Factor = 15.088

contains 2 variants

0.8825

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8768

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8708

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8708

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8702

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8678

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8489

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8300

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8262

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8204

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7914

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7906

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7641

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7597

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7471

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7460

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7290

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7250

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7201

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7131

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7064

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7033

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7029

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6925

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6881

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6729

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6704

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6654

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6611

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6554

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6550

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6527

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6310

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6235

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5899

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5882

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5862

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5756

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5712

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5503

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5409

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5375

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5260

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5257

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5235

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4944

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4858

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4841

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4793

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4741

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4625

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4559

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4463

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4414

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4411

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4381

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4365

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4351

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4295

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4168

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4167

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4015

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3834

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3823

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3724

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3585

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3569

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3481

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3364

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3247

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3246

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3158

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3135

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3047

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2976

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2902

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2814

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2755

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2739

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2738

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2721

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2574

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2543

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2326

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2253

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2225

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2134

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2089

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2079

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2002

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1985

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1974

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1919

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1791

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1780

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1764

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1652

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1648

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1595

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1539

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1518

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1488

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1467

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1426

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1393

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1262

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1246

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1218

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1204

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1196

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1181

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1120

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1075

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1024

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1006

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0988

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0900

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0873

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0826

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0811

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0762

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0615

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0515

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`)