TreeWAS – [R79.0] Abnormal level of blood mineral

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
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.886	0.113	0.000
rs2394251 lBF = `47.8031` Chr`6` : `29,943,688`	0.828	0.172	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.804	0.196	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.786	0.214	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.783	0.217	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.774	0.226	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.765	0.235	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.762	0.238	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.760	0.240	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.759	0.240	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.758	0.242	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.755	0.245	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.751	0.249	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.750	0.250	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.739	0.261	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.737	0.263	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.736	0.264	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.734	0.266	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.729	0.271	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.728	0.272	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.728	0.272	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.727	0.273	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.726	0.274	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.723	0.277	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.723	0.277	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.722	0.278	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.720	0.280	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.719	0.281	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.715	0.284	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.714	0.286	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.712	0.288	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.711	0.289	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.708	0.291	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.708	0.292	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.706	0.294	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.704	0.296	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.704	0.296	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.704	0.296	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.703	0.297	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.703	0.297	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.703	0.297	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.702	0.298	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.702	0.298	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.700	0.300	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.699	0.301	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.699	0.301	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.697	0.303	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.696	0.304	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.695	0.304	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.694	0.306	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.693	0.306	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.693	0.307	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.692	0.308	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.692	0.308	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.691	0.309	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.689	0.310	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.688	0.312	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.687	0.312	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.687	0.313	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.684	0.316	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.684	0.316	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.682	0.318	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.680	0.320	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.678	0.321	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.678	0.322	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.677	0.323	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.677	0.323	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.675	0.324	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.674	0.326	0.000
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.674	0.326	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.672	0.328	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.672	0.328	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.667	0.332	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.664	0.336	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.663	0.337	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.662	0.338	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.661	0.339	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.661	0.339	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.655	0.345	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.655	0.345	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.652	0.348	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.651	0.348	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.650	0.350	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.650	0.350	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.648	0.352	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.647	0.352	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.647	0.353	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.647	0.353	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.647	0.353	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.646	0.354	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.646	0.354	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.646	0.354	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.643	0.356	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.642	0.358	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.642	0.358	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.641	0.359	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.641	0.359	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.640	0.359	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.640	0.360	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.640	0.360	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.639	0.361	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.638	0.362	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.638	0.362	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.633	0.367	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.632	0.368	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.630	0.369	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.629	0.371	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.629	0.371	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.629	0.371	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.629	0.371	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.625	0.375	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.625	0.375	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.624	0.375	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.624	0.376	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.622	0.378	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.622	0.378	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.621	0.379	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.621	0.379	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.621	0.379	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.620	0.380	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.620	0.380	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.620	0.380	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.619	0.380	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.619	0.381	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.619	0.381	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.618	0.382	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.617	0.383	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.616	0.383	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.616	0.384	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.616	0.384	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.613	0.387	0.000
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.612	0.387	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.612	0.388	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.610	0.390	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.610	0.390	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.609	0.391	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.609	0.391	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.608	0.391	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.608	0.392	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.607	0.392	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.607	0.393	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.607	0.393	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.606	0.394	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.606	0.394	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.604	0.396	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.603	0.396	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.602	0.398	0.000
rs4713467 lBF = `13.306` Chr`6` : `31,437,275`	0.602	0.398	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.602	0.398	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.601	0.399	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.601	0.399	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.600	0.400	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.600	0.400	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.598	0.402	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.598	0.402	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.596	0.404	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.595	0.404	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.592	0.408	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.591	0.409	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.590	0.409	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.590	0.410	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.590	0.410	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.590	0.410	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.589	0.411	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.589	0.411	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.588	0.412	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.588	0.412	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.588	0.412	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.587	0.413	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.587	0.413	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.586	0.414	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.586	0.414	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.585	0.415	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.585	0.415	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.585	0.415	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.585	0.415	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.584	0.416	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.583	0.417	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.583	0.417	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.583	0.417	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.581	0.419	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.580	0.420	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.577	0.423	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.577	0.423	0.000
rs1439466 lBF = `15.9754` Chr`10` : `122,654,969`	0.576	0.424	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.576	0.424	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.573	0.427	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.572	0.427	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.572	0.428	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.570	0.429	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.570	0.430	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.569	0.431	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.568	0.432	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.568	0.432	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.568	0.432	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.565	0.435	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.565	0.435	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.565	0.435	0.000
rs181704351 lBF = `8.19928` Chr`1` : `70,147,866`	0.564	0.435	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.564	0.436	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.564	0.436	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.562	0.437	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.562	0.438	0.000
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rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.444	0.556	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.444	0.556	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.444	0.556	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.444	0.556	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.443	0.557	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.443	0.557	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.443	0.557	0.000
rs77292666 lBF = `7.58228` Chr`21` : `33,214,050`	0.442	0.558	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.442	0.558	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.441	0.559	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.441	0.559	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.441	0.559	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.441	0.559	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.440	0.560	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.440	0.560	0.000
rs2233940 lBF = `19.3841` Chr`6` : `31,107,922`	0.440	0.560	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.440	0.560	0.000
rs71563311 lBF = `20.1258` Chr`6` : `31,136,994`	0.438	0.562	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.438	0.562	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.437	0.563	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.436	0.564	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.436	0.564	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.436	0.564	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.436	0.564	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.435	0.564	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.435	0.565	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.434	0.566	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.434	0.566	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.434	0.566	0.000
rs74349453 lBF = `15.9746` Chr`2` : `43,057,069`	0.433	0.566	0.000
rs33941312 lBF = `22.8037` Chr`6` : `31,084,191`	0.432	0.568	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.432	0.568	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.432	0.568	0.000
rs61613191 lBF = `1.61814` Chr`6` : `141,123,711`	0.432	0.568	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.431	0.569	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.430	0.570	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.430	0.570	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.430	0.570	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.429	0.571	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.429	0.571	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.429	0.571	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.429	0.571	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.429	0.571	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.429	0.571	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.429	0.571	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.428	0.571	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.428	0.572	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.428	0.572	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.428	0.572	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.427	0.572	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.427	0.573	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.426	0.573	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.426	0.574	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.426	0.574	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.426	0.574	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.425	0.575	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.425	0.575	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.425	0.575	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.424	0.575	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.425	0.575	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.424	0.576	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.424	0.576	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.424	0.576	0.000
rs3753573 lBF = `2.28353` Chr`1` : `185,014,002`	0.424	0.576	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.423	0.576	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.423	0.577	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.422	0.578	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.421	0.579	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.421	0.579	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.421	0.579	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.421	0.579	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.421	0.579	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.421	0.579	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.421	0.579	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.419	0.580	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.419	0.581	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.419	0.581	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.419	0.581	0.000
rs118136136 lBF = `2.24787` Chr`21` : `35,274,965`	0.417	0.583	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.417	0.583	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.417	0.583	0.000
rs28875200 lBF = `1.01401` Chr`4` : `90,027,928`	0.417	0.583	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.416	0.583	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.416	0.584	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.416	0.584	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.416	0.584	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.416	0.584	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.415	0.585	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.415	0.585	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.415	0.585	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.414	0.586	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.413	0.587	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.413	0.587	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.413	0.587	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.413	0.587	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1988

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1131

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.0737

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9987

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9951

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9793

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9638

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9460

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9432

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9414

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9395

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9306

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9183

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9180

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9114

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9052

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9043

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9033

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9029

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8850

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8845

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8727

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8721

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8565

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8490

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8396

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8355

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8240

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8229

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8055

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8045

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7930

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7893

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7826

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7632

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7552

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7511

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7428

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7404

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7368

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7266

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7200

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7078

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6876

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6651

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6600

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6490

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6486

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6437

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6308

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6307

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6255

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5833

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5790

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5757

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5751

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5651

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5598

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5557

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5439

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5146

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5103

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5100

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4995

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4942

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4826

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.4771

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4764

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4673

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4670

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4663

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4652

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4613

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4595

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4500

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4491

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4199

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4168

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4068

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3914

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3860

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3763

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3756

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3745

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3656

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3495

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3355

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3174

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3068

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3010

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2898

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2871

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2822

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2776

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2773

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2767

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2763

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2700

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2694

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2681

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2679

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2462

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2425

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2410

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2325

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2183

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2177

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2097

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2088

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1990

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1958

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1951

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1885

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1874

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1526

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1507

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1498

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1487

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1447

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1389

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1381

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1313

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1266

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1230

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1193

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1181

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1141

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1105

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1090

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1035

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1019

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0963

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0924

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0846

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0831

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0819

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0817

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0780

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0721

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0703

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0664

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0635

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0622

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0589

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0584

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0563

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`)