TreeWAS – [E87.8] Other disorders of electrolyte and fluid balance, not elsewhere classified

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
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.963	0.037	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.926	0.074	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.923	0.077	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.910	0.090	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.902	0.098	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.890	0.110	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.887	0.113	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.879	0.120	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.876	0.124	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.875	0.125	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.868	0.132	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.865	0.135	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.855	0.145	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.844	0.156	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.840	0.160	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.839	0.161	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.838	0.162	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.837	0.163	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.837	0.163	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.836	0.164	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.833	0.167	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.832	0.168	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.830	0.170	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.818	0.182	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.817	0.183	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.816	0.184	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.815	0.185	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.815	0.185	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.812	0.188	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.809	0.191	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.807	0.193	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.805	0.195	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.804	0.196	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.803	0.197	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.800	0.200	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.797	0.203	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.794	0.206	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.792	0.208	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.792	0.208	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.791	0.209	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.789	0.211	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.789	0.211	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.788	0.212	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.787	0.213	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.786	0.214	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.785	0.215	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.784	0.215	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.781	0.219	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.779	0.220	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.777	0.223	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.776	0.224	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.776	0.224	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.775	0.225	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.774	0.226	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.774	0.226	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.773	0.226	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.773	0.226	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.771	0.229	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.769	0.231	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.769	0.231	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.769	0.231	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.768	0.232	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.767	0.233	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.766	0.234	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.766	0.234	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.765	0.235	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.764	0.235	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.764	0.236	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.762	0.238	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.761	0.239	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.761	0.239	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.761	0.239	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.760	0.240	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.759	0.241	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.759	0.241	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.757	0.243	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.757	0.243	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.756	0.244	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.756	0.244	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.756	0.244	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.756	0.244	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.755	0.245	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.755	0.245	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.754	0.245	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.754	0.246	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.754	0.246	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.754	0.246	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.753	0.247	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.752	0.247	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.752	0.248	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.751	0.249	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.751	0.249	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.749	0.251	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.749	0.251	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.749	0.251	0.000
rs1042151 lBF = `101.527` Chr`6` : `33,048,661`	0.748	0.252	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.747	0.253	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.747	0.253	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.747	0.253	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.746	0.254	0.000
rs74048198 lBF = `5.94724` Chr`11` : `2,118,282`	0.745	0.255	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.745	0.255	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.743	0.257	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.743	0.257	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.741	0.259	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.741	0.259	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.740	0.260	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.739	0.261	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.739	0.261	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.737	0.263	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.736	0.263	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.735	0.265	0.000
rs2844510 lBF = `60.6952` Chr`6` : `31,410,408`	0.000	0.265	0.735
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.734	0.265	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.734	0.266	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.733	0.267	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.733	0.267	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.733	0.267	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.733	0.267	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.733	0.267	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.732	0.268	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.731	0.269	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.731	0.269	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.731	0.269	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.730	0.269	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.730	0.270	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.729	0.271	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.729	0.271	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.729	0.271	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.728	0.272	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.728	0.272	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.727	0.273	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.725	0.275	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.725	0.275	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.724	0.276	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.723	0.277	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.722	0.278	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.721	0.279	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.720	0.280	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.720	0.280	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.719	0.281	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.719	0.281	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.719	0.281	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.719	0.281	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.717	0.283	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.717	0.283	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.717	0.283	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.717	0.283	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.717	0.283	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.717	0.283	0.000
rs115684255 lBF = `12.9903` Chr`3` : `84,304,714`	0.717	0.283	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.716	0.284	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.716	0.284	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.716	0.284	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.715	0.285	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.715	0.285	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.715	0.285	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.715	0.285	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.715	0.285	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.715	0.285	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.714	0.285	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.714	0.286	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.714	0.286	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.713	0.286	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.713	0.287	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.713	0.287	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.713	0.287	0.000
rs114239030 lBF = `16.2356` Chr`3` : `84,228,854`	0.713	0.287	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.713	0.287	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.713	0.287	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.713	0.287	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.713	0.287	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.712	0.288	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.712	0.288	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.712	0.288	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.711	0.289	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.711	0.289	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.711	0.289	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.711	0.289	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.711	0.289	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.711	0.289	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.710	0.289	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.710	0.290	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.710	0.290	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.710	0.290	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.710	0.290	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.710	0.290	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.710	0.290	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.710	0.290	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.710	0.290	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.710	0.290	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.709	0.290	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.709	0.291	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.291	0.709
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.709	0.291	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.709	0.291	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.709	0.291	0.000
rs76542212 lBF = `5.89986` Chr`6` : `28,198,122`	0.000	0.291	0.709
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.709	0.291	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.708	0.291	0.000
rs72938048 lBF = `8.33195` Chr`6` : `100,389,267`	0.708	0.292	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.708	0.292	0.000
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rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.663	0.337	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.662	0.337	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.662	0.338	0.000
rs73125111 lBF = `7.02008` Chr`3` : `85,110,971`	0.662	0.338	0.000
rs199055 lBF = `13.8929` Chr`6` : `23,490,117`	0.662	0.338	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.662	0.338	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.661	0.339	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.661	0.339	0.000
rs79581221 lBF = `9.13228` Chr`5` : `81,379,394`	0.661	0.339	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.660	0.339	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.660	0.340	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.660	0.340	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.660	0.340	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.660	0.340	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.660	0.340	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.660	0.340	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.660	0.340	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.660	0.340	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.659	0.341	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.659	0.341	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	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
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.658	0.342	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.658	0.342	0.000
rs116155186 lBF = `6.15229` Chr`3` : `85,368,819`	0.658	0.342	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.658	0.342	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.658	0.342	0.000
rs231779 lBF = `42.1394` Chr`2` : `204,734,487`	0.658	0.342	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.657	0.342	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.657	0.343	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.657	0.343	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.657	0.343	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.657	0.343	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.657	0.343	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.656	0.344	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.656	0.344	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.656	0.344	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.655	0.345	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.655	0.345	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.655	0.345	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.654	0.346	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.654	0.346	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.654	0.346	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.654	0.346	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.654	0.346	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.654	0.346	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
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.653	0.347	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.653	0.347	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.653	0.347	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.653	0.347	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.652	0.347	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.652	0.348	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.652	0.348	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.652	0.348	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.652	0.348	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.651	0.349	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.651	0.349	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.651	0.349	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.650	0.349	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.650	0.350	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.650	0.350	0.000
rs17791975 lBF = `7.13706` Chr`3` : `85,118,035`	0.650	0.350	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.650	0.350	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.649	0.350	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.649	0.350	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.649	0.351	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.649	0.351	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.649	0.351	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.648	0.352	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.648	0.352	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.648	0.352	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.648	0.352	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.648	0.352	0.000
rs2476601 lBF = `151.016` Chr`1` : `114,377,568`	0.647	0.353	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.647	0.353	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.647	0.353	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.647	0.353	0.000
rs3000140 lBF = `11.5012` Chr`1` : `80,000,648`	0.647	0.353	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.647	0.353	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.647	0.353	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.646	0.353	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.646	0.353	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.646	0.354	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.646	0.354	0.000
rs2267644 lBF = `19.8415` Chr`6` : `32,192,560`	0.646	0.354	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.645	0.355	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.645	0.355	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.645	0.355	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.644	0.356	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.644	0.356	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.644	0.356	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.644	0.356	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.642	0.358	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 X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9916

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9867

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9845

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9829

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9744

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9689

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9687

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9648

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9549

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9534

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9493

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9469

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9457

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9452

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9420

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9374

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9329

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9307

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9294

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9261

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9213

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9194

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9167

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9162

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9157

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9130

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9068

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8997

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8954

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8907

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8893

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8861

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8842

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8782

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8741

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8722

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8635

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8607

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8576

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8574

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8566

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8558

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8494

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8435

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8433

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8397

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8369

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.8232

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8217

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8199

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8151

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8142

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8135

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8098

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8079

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8069

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8029

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8022

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8007

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7992

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7939

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7921

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7912

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7876

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7853

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7851

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7782

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7775

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7756

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7732

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7674

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7656

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7628

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7615

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7564

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7466

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7315

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7168

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7165

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7157

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7088

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7063

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7030

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6628

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6599

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6597

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6521

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6512

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6474

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6436

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6388

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6347

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6345

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6338

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6143

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6112

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6058

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6056

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5967

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5964

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5942

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5941

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5767

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5727

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5547

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5505

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5372

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5165

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5131

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5100

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4904

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4467

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4360

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3987

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3982

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3933

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3891

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3837

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3467

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3391

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3322

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2899

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2831

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2745

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2524

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2523

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2434

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2320

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1816

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1648

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1588

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1405

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1338

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1296

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1073

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1009

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0948

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0732

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0722

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0643

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0634

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0633

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0546

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0542

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`)