TreeWAS – [E87.7] Fluid overload

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
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.992	0.008	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.987	0.013	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.971	0.029	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.967	0.033	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.965	0.035	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.965	0.035	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.964	0.036	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.962	0.038	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.960	0.040	0.000
rs231775 lBF = `43.2297` Chr`2` : `204,732,714`	0.958	0.042	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.955	0.045	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.951	0.049	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.950	0.050	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.947	0.053	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.945	0.055	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.944	0.056	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.936	0.064	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.936	0.064	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.933	0.067	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.932	0.068	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.932	0.068	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.932	0.068	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.921	0.079	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.920	0.080	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.920	0.080	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.920	0.080	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.919	0.081	0.000
rs1024161 lBF = `37.0424` Chr`2` : `204,721,752`	0.919	0.081	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.917	0.083	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.914	0.086	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.913	0.087	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.911	0.089	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.907	0.093	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.906	0.094	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.096	0.904
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.903	0.097	0.000
rs231770 lBF = `35.3694` Chr`2` : `204,729,153`	0.903	0.097	0.000
rs115684255 lBF = `12.9903` Chr`3` : `84,304,714`	0.901	0.099	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.901	0.099	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.899	0.101	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.898	0.102	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.898	0.102	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.896	0.104	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.895	0.105	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.894	0.106	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.894	0.106	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.891	0.109	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.890	0.110	0.000
rs179429 lBF = `2.36781` Chr`11` : `2,550,730`	0.889	0.111	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.886	0.114	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.884	0.116	0.000
rs76542212 lBF = `5.89986` Chr`6` : `28,198,122`	0.000	0.117	0.883
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.883	0.117	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.882	0.118	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.881	0.119	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.880	0.120	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.879	0.121	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.879	0.121	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.879	0.121	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.878	0.122	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.877	0.123	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.875	0.125	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.875	0.125	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.874	0.126	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.874	0.126	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.872	0.128	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.871	0.129	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.870	0.130	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.869	0.131	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.868	0.132	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.868	0.132	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.867	0.133	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.866	0.134	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.866	0.134	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.865	0.135	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.865	0.135	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.865	0.135	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.865	0.135	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.863	0.137	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.863	0.137	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.862	0.138	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.861	0.139	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.859	0.141	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.859	0.141	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.859	0.141	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.858	0.142	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.857	0.143	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.856	0.144	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.856	0.144	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.856	0.144	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.856	0.144	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.855	0.145	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.855	0.145	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.852	0.148	0.000
rs114239030 lBF = `16.2356` Chr`3` : `84,228,854`	0.850	0.150	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.849	0.151	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.849	0.151	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.848	0.152	0.000
rs231779 lBF = `42.1394` Chr`2` : `204,734,487`	0.847	0.153	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.847	0.153	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.847	0.153	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.844	0.156	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.843	0.157	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.841	0.159	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.840	0.160	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.840	0.160	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.839	0.161	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.838	0.162	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.837	0.163	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.836	0.164	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.836	0.164	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.835	0.165	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.835	0.165	0.000
rs114249449 lBF = `15.308` Chr`1` : `39,257,678`	0.835	0.165	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.833	0.167	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.833	0.167	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.833	0.167	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.833	0.167	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.833	0.167	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.832	0.168	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.832	0.168	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.830	0.170	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.830	0.170	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.829	0.171	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.829	0.171	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.827	0.173	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.826	0.174	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.825	0.175	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.824	0.176	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.824	0.176	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.823	0.177	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.823	0.177	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.822	0.178	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.822	0.178	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.821	0.179	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.820	0.180	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.819	0.181	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.819	0.181	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.818	0.182	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.818	0.182	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.818	0.182	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.817	0.183	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.816	0.184	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.816	0.184	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.816	0.184	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.814	0.186	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.813	0.187	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.813	0.187	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.813	0.187	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.812	0.188	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.810	0.190	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.810	0.190	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.809	0.191	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.809	0.191	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.809	0.191	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.809	0.191	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.808	0.192	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.808	0.192	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.807	0.193	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.807	0.193	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.807	0.193	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.806	0.194	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.806	0.194	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.806	0.194	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.806	0.194	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.806	0.194	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.805	0.195	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.802	0.198	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.799	0.201	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.799	0.201	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.799	0.201	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.796	0.204	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.796	0.204	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.796	0.204	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.796	0.204	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.795	0.205	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.795	0.205	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.794	0.206	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.793	0.207	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.793	0.207	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.793	0.207	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.793	0.207	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.792	0.208	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.792	0.208	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.791	0.209	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.791	0.209	0.000
rs11575845 lBF = `18.1968` Chr`6` : `31,692,386`	0.000	0.210	0.790
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.790	0.210	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.789	0.211	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.789	0.211	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.788	0.212	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.788	0.212	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.788	0.212	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.787	0.213	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.787	0.213	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.785	0.215	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.784	0.216	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.784	0.216	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.783	0.217	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.783	0.217	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.783	0.217	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.782	0.218	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.782	0.218	0.000
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rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.779	0.221	0.000
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rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.778	0.222	0.000
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rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.762	0.238	0.000
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rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.759	0.241	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.759	0.241	0.000
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rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.753	0.247	0.000
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rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.742	0.258	0.000
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rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.741	0.259	0.000
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rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.740	0.260	0.000
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rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.740	0.260	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.739	0.261	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.739	0.261	0.000
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rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.739	0.261	0.000
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rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.736	0.264	0.000
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rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.734	0.266	0.000
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rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.733	0.267	0.000
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rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.732	0.268	0.000
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rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.732	0.268	0.000
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rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.731	0.269	0.000
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rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.722	0.278	0.000
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rs78857545 lBF = `9.68973` Chr`3` : `150,863,573`	0.717	0.282	0.000
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rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.715	0.285	0.000
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rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.710	0.290	0.000
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rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.705	0.295	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.704	0.296	0.000
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rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.703	0.297	0.000
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rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.701	0.299	0.000
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rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.700	0.300	0.000
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rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.690	0.310	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.690	0.310	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.690	0.310	0.000
rs41273213 lBF = `12.0855` Chr`1` : `156,880,190`	0.690	0.310	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.689	0.311	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.689	0.311	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.689	0.311	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.689	0.311	0.000
rs10846744 lBF = `15.1289` Chr`12` : `125,312,425`	0.689	0.311	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.689	0.311	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.689	0.311	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.689	0.311	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.688	0.312	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.687	0.313	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.687	0.313	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.687	0.313	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.687	0.313	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.687	0.313	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.686	0.314	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.686	0.314	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.686	0.314	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.686	0.314	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.685	0.315	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.684	0.315	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.684	0.315	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.684	0.316	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.684	0.316	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.684	0.316	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.683	0.317	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.683	0.317	0.000
rs73125111 lBF = `7.02008` Chr`3` : `85,110,971`	0.682	0.318	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.682	0.318	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.682	0.318	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.681	0.319	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.680	0.320	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.680	0.320	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.679	0.321	0.000
rs112833835 lBF = `14.7107` Chr`1` : `225,084,059`	0.678	0.322	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.678	0.322	0.000
rs12069385 lBF = `5.15863` Chr`1` : `35,779,988`	0.677	0.323	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.677	0.323	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.677	0.323	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.676	0.324	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.676	0.324	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.676	0.324	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.676	0.324	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.676	0.324	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.674	0.326	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.674	0.326	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.674	0.326	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.674	0.326	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.674	0.326	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.673	0.327	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.673	0.327	0.000
rs73130739 lBF = `7.84824` Chr`3` : `85,287,296`	0.672	0.328	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.672	0.328	0.000
rs73134752 lBF = `11.2492` Chr`3` : `85,437,738`	0.672	0.328	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.672	0.328	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.671	0.329	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.670	0.330	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.669	0.331	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.669	0.331	0.000
rs11057841 lBF = `14.6163` Chr`12` : `125,316,743`	0.668	0.332	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.667	0.332	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.667	0.333	0.000
rs13220896 lBF = `12.8209` Chr`6` : `31,369,662`	0.667	0.333	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.667	0.333	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.666	0.334	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.666	0.334	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.665	0.335	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.665	0.335	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.665	0.335	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.665	0.335	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.665	0.335	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.664	0.336	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.664	0.336	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.664	0.336	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.663	0.337	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.663	0.337	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.663	0.337	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.662	0.338	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.661	0.339	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.661	0.339	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.660	0.339	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.660	0.340	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.659	0.341	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.659	0.341	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.659	0.341	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.658	0.342	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.658	0.342	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.658	0.342	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.658	0.342	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.657	0.342	0.000
rs116155186 lBF = `6.15229` Chr`3` : `85,368,819`	0.657	0.343	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.657	0.343	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 X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

1.0000

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9999

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9996

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9994

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9986

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9985

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9984

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9982

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9978

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9969

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9968

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9939

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9932

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9926

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9924

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9920

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9908

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9902

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9895

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9867

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9858

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9815

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9798

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9783

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9773

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9728

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.9722

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9651

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9644

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9626

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9615

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9589

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9550

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9540

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9526

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9511

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9507

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9254

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9199

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9017

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9003

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8941

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.8899

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8872

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8851

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8758

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8726

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8710

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8709

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8682

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8626

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8587

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8546

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8428

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8417

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8317

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8240

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8224

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8188

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8177

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8056

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8040

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7918

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7916

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7886

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7696

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7690

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7632

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7516

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7301

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7245

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7098

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7074

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7073

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6995

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6933

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6771

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6708

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6659

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6533

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6508

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6317

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6304

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6180

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6099

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5843

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5543

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5501

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5361

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5185

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5164

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5094

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5081

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5044

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5007

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4678

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4518

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4474

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4460

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4352

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4324

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4300

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4141

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3316

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3062

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3059

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2952

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2937

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2865

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2665

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2603

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2596

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2507

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2425

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2175

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1995

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1927

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1794

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1751

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1582

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1554

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1491

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1479

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1477

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1362

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1344

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1053

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1038

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0983

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0947

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0757

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0750

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0715

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0675

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0653

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0619

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0619

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0552

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0541

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`)