TreeWAS – [E87.0] Hyperosmolality and hypernatraemia

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
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.951	0.049	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.948	0.052	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.943	0.057	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.925	0.075	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.923	0.077	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.919	0.081	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.917	0.083	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.910	0.090	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.898	0.102	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.895	0.105	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.892	0.108	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.891	0.109	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.886	0.114	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.884	0.116	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.882	0.118	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.879	0.121	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.876	0.124	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.874	0.126	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.872	0.128	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.872	0.128	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.871	0.129	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.867	0.133	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.865	0.135	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.864	0.136	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.863	0.137	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.862	0.138	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.862	0.138	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.858	0.142	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.856	0.144	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.853	0.147	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.853	0.147	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.850	0.150	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.849	0.151	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.849	0.151	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.848	0.152	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.848	0.152	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.846	0.154	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.845	0.155	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.844	0.156	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.842	0.158	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.841	0.159	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.840	0.160	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.840	0.160	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.839	0.161	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.835	0.165	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.834	0.166	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.832	0.168	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.832	0.168	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.829	0.171	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.826	0.174	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.826	0.174	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.826	0.174	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.823	0.177	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.822	0.178	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.822	0.178	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.821	0.179	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.820	0.180	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.820	0.180	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.819	0.181	0.000
rs179429 lBF = `2.36781` Chr`11` : `2,550,730`	0.817	0.183	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.817	0.183	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.817	0.183	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.815	0.185	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.811	0.189	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.809	0.191	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.809	0.191	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.808	0.192	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.807	0.193	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.806	0.194	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.805	0.195	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.803	0.197	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.802	0.198	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.801	0.199	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.799	0.201	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.797	0.202	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.798	0.202	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.797	0.203	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.797	0.203	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.795	0.205	0.000
rs76542212 lBF = `5.89986` Chr`6` : `28,198,122`	0.000	0.205	0.795
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.795	0.205	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.795	0.205	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.793	0.207	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.793	0.207	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.793	0.207	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.793	0.207	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.792	0.208	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.791	0.209	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.791	0.209	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.790	0.210	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.789	0.211	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.789	0.211	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.787	0.213	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.783	0.217	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.782	0.218	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.782	0.218	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.781	0.219	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.780	0.220	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.780	0.220	0.000
rs3129887 lBF = `251.48` Chr`6` : `32,410,691`	0.780	0.220	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.779	0.221	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.779	0.221	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.779	0.221	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.778	0.222	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.778	0.222	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.777	0.223	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.777	0.223	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.776	0.224	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.775	0.225	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.774	0.226	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.774	0.226	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.774	0.226	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.773	0.227	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.772	0.228	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.771	0.229	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.770	0.230	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.770	0.230	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.769	0.231	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.768	0.231	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.768	0.232	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.768	0.232	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.767	0.233	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.767	0.233	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.766	0.234	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.766	0.234	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.765	0.235	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.764	0.236	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.763	0.237	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.763	0.237	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.762	0.237	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.762	0.238	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.762	0.238	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.761	0.239	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.761	0.239	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.760	0.240	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.759	0.241	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.758	0.241	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.757	0.243	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.757	0.243	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.757	0.243	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.757	0.243	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.757	0.243	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.756	0.244	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.756	0.244	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.755	0.245	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.755	0.245	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.754	0.246	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.753	0.247	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.753	0.247	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.752	0.248	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.752	0.248	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.752	0.248	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.751	0.249	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.751	0.249	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.751	0.249	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.751	0.249	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.750	0.250	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.750	0.250	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.750	0.250	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.750	0.250	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.749	0.251	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.748	0.252	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.748	0.252	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.746	0.254	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.746	0.254	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.745	0.255	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.745	0.255	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.744	0.256	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.743	0.257	0.000
rs74048198 lBF = `5.94724` Chr`11` : `2,118,282`	0.743	0.257	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.742	0.258	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.741	0.259	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.741	0.259	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.741	0.259	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.741	0.259	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.740	0.259	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.740	0.260	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.740	0.260	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.740	0.260	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.739	0.260	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.739	0.260	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.739	0.261	0.000
rs115684255 lBF = `12.9903` Chr`3` : `84,304,714`	0.738	0.261	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.738	0.261	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.738	0.262	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.738	0.262	0.000
rs3135393 lBF = `255.761` Chr`6` : `32,408,842`	0.738	0.262	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.738	0.262	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.737	0.263	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.735	0.264	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.735	0.265	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.735	0.265	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.734	0.266	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.733	0.267	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.733	0.267	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.733	0.267	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.732	0.267	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.732	0.268	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.732	0.268	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.732	0.268	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.731	0.268	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.731	0.269	0.000
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rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.667	0.333	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.667	0.333	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.667	0.333	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.667	0.333	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.667	0.333	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.667	0.333	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.666	0.333	0.000
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.666	0.334	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.665	0.335	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.665	0.335	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.665	0.335	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.665	0.335	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.664	0.335	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.664	0.336	0.000
rs2844559 lBF = `353.874` Chr`6` : `31,340,075`	0.664	0.336	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.664	0.336	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.663	0.337	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.663	0.337	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.663	0.337	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.663	0.337	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.663	0.337	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.663	0.337	0.000
rs73125111 lBF = `7.02008` Chr`3` : `85,110,971`	0.662	0.338	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.662	0.338	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.662	0.338	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.662	0.338	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.661	0.338	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.661	0.339	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.660	0.340	0.000
rs1169288 lBF = `29.3975` Chr`12` : `121,416,650`	0.660	0.340	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.660	0.340	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.660	0.340	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.659	0.341	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.659	0.341	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.659	0.341	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.659	0.341	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.658	0.341	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.658	0.342	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.658	0.342	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.658	0.342	0.000
rs116155186 lBF = `6.15229` Chr`3` : `85,368,819`	0.658	0.342	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.658	0.342	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.658	0.342	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.658	0.342	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.657	0.342	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.657	0.343	0.000
rs2239805 lBF = `253.83` Chr`6` : `32,411,376`	0.657	0.343	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.657	0.343	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.656	0.343	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.656	0.344	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.656	0.344	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.656	0.344	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.655	0.345	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.654	0.346	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.654	0.346	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.654	0.346	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.654	0.346	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.653	0.346	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.653	0.347	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.653	0.347	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.653	0.347	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.653	0.347	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.653	0.347	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.653	0.347	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.653	0.347	0.000
rs35391 lBF = `10.1345` Chr`5` : `33,955,673`	0.652	0.348	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.652	0.348	0.000
rs35390 lBF = `9.53908` Chr`5` : `33,955,326`	0.651	0.348	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.651	0.349	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.651	0.349	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.651	0.349	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.651	0.349	0.000
rs2264750 lBF = `9.22565` Chr`12` : `121,450,165`	0.650	0.350	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.650	0.350	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.650	0.350	0.000
rs17791975 lBF = `7.13706` Chr`3` : `85,118,035`	0.650	0.350	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.650	0.350	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.650	0.350	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.649	0.351	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.649	0.351	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.649	0.351	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.648	0.352	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.648	0.352	0.000
rs3000140 lBF = `11.5012` Chr`1` : `80,000,648`	0.647	0.353	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.647	0.353	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.646	0.353	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.646	0.354	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.646	0.354	0.000
rs231770 lBF = `35.3694` Chr`2` : `204,729,153`	0.646	0.354	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.645	0.354	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.645	0.355	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.645	0.355	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.645	0.355	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.644	0.356	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.644	0.356	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.644	0.356	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9984

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9966

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9962

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9928

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9908

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9891

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9816

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9809

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9776

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9761

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9680

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9679

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9648

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9646

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9636

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9579

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9534

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9531

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9511

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9501

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9492

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9461

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9459

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9450

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9410

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9388

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9316

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9258

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9149

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9096

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9074

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9056

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9035

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9024

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8978

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8845

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8782

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8771

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8766

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8738

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.8696

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8695

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8582

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8551

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8550

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8483

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8448

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8397

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8374

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8355

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8310

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8275

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8275

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8229

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8212

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8209

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8200

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8146

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8110

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7998

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7972

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7906

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7799

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7742

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7737

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7650

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7459

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7441

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7435

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7390

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7167

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7097

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7022

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6902

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6897

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6891

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6788

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6762

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6736

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6585

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6333

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6268

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6233

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6174

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5949

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5880

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5846

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5619

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5582

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5516

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5432

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5431

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5348

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5290

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5241

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5200

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5181

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4886

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4811

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4500

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4417

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4304

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4293

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4246

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4092

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3973

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3812

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3658

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3395

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3190

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3166

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3154

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3131

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3040

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3035

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3009

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2843

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2534

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2388

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2378

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2146

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1889

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1886

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1867

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1845

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1792

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1642

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1624

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1619

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1593

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1553

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1339

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1301

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1043

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1014

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0953

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0933

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0855

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0817

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0793

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0715

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0667

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0659

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0621

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0580

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`)