TreeWAS – [R76] Other abnormal immunological findings in serum

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
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.927	0.073	0.000
rs1439466 lBF = `15.9754` Chr`10` : `122,654,969`	0.912	0.088	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.863	0.137	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.846	0.153	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.839	0.161	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.838	0.162	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.826	0.174	0.000
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.824	0.176	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.821	0.179	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.805	0.195	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.798	0.202	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.793	0.207	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.790	0.210	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.786	0.214	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.783	0.217	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.782	0.218	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.781	0.219	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.779	0.221	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.779	0.221	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.766	0.234	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.766	0.234	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.764	0.236	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.762	0.238	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.759	0.241	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.758	0.242	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.757	0.243	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.756	0.244	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.750	0.250	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.749	0.251	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.748	0.252	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.745	0.254	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.745	0.255	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.744	0.256	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.742	0.258	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.741	0.259	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.741	0.259	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.739	0.261	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.737	0.263	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.734	0.266	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.731	0.269	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.730	0.270	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.730	0.270	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.729	0.270	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.728	0.272	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.725	0.275	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.718	0.281	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.718	0.282	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.718	0.282	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.717	0.283	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.716	0.284	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.716	0.284	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.714	0.286	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.714	0.286	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.714	0.286	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.712	0.288	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.710	0.289	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.709	0.290	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.709	0.290	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.709	0.291	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.708	0.292	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.708	0.292	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.708	0.292	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.708	0.292	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.707	0.292	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.707	0.292	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.707	0.293	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.706	0.293	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.706	0.294	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.706	0.294	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.706	0.294	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.705	0.295	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.705	0.295	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.705	0.295	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.703	0.297	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.703	0.297	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.703	0.297	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.702	0.297	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.702	0.298	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.701	0.299	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.700	0.300	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.700	0.300	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.700	0.300	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.699	0.301	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.697	0.303	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.697	0.303	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.697	0.303	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.697	0.303	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.696	0.304	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.696	0.304	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.695	0.305	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.694	0.306	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.693	0.307	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.693	0.307	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.693	0.307	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.692	0.307	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.691	0.309	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.691	0.309	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.691	0.309	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.689	0.311	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.688	0.312	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.687	0.313	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.687	0.313	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.686	0.314	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.685	0.315	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.685	0.315	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.684	0.316	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.684	0.316	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.683	0.317	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.682	0.318	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.682	0.318	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.682	0.318	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.682	0.318	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.682	0.318	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.681	0.319	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.681	0.319	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.681	0.319	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.681	0.319	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.681	0.319	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.680	0.320	0.000
rs4713467 lBF = `13.306` Chr`6` : `31,437,275`	0.680	0.320	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.680	0.320	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.679	0.321	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.678	0.322	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.678	0.322	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.678	0.322	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.677	0.323	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.677	0.323	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.677	0.323	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.677	0.323	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.677	0.323	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.677	0.323	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.676	0.324	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.676	0.324	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.676	0.324	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.675	0.325	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.675	0.325	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.675	0.325	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.675	0.325	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.675	0.325	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.674	0.326	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.674	0.326	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.674	0.326	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.673	0.327	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.673	0.327	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.673	0.327	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.673	0.327	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.672	0.327	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.672	0.328	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.672	0.328	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.672	0.328	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.672	0.328	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.671	0.329	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.671	0.329	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.671	0.329	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.670	0.330	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.670	0.330	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.669	0.331	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.669	0.331	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.669	0.331	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.668	0.332	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.667	0.333	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.666	0.334	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.666	0.334	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.665	0.335	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.665	0.335	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.665	0.335	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.663	0.337	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.663	0.337	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.663	0.337	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.663	0.337	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.663	0.337	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.662	0.338	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.662	0.338	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.662	0.338	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.661	0.339	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.661	0.339	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.661	0.339	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.660	0.339	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.660	0.339	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.660	0.340	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.659	0.341	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.658	0.342	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.658	0.342	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.657	0.343	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.657	0.343	0.000
rs181704351 lBF = `8.19928` Chr`1` : `70,147,866`	0.657	0.343	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.657	0.343	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.657	0.343	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.657	0.343	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.657	0.343	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.655	0.345	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.655	0.345	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.655	0.345	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.655	0.345	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.655	0.345	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.654	0.346	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.654	0.346	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.654	0.346	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.654	0.346	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.653	0.347	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.652	0.348	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.650	0.350	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.650	0.350	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.650	0.350	0.000
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rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.595	0.405	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.595	0.405	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.595	0.405	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.595	0.405	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.595	0.405	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.595	0.405	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.594	0.405	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.594	0.406	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.594	0.406	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.594	0.406	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.594	0.406	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.594	0.406	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.594	0.406	0.000
rs71563311 lBF = `20.1258` Chr`6` : `31,136,994`	0.593	0.406	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.593	0.407	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.593	0.407	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.592	0.408	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.592	0.408	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.591	0.409	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.591	0.409	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.591	0.409	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.591	0.409	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.591	0.409	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.591	0.409	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.590	0.409	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.409	0.590
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.590	0.410	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.590	0.410	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.590	0.410	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.590	0.410	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.589	0.411	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.589	0.411	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.588	0.412	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.588	0.412	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.588	0.412	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.588	0.412	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.587	0.412	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.587	0.413	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.587	0.413	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.587	0.413	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.587	0.413	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.586	0.414	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.586	0.414	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.586	0.414	0.000
rs114162361 lBF = `7.44447` Chr`1` : `174,575,642`	0.585	0.415	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.585	0.415	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.584	0.415	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.584	0.416	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.584	0.416	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.583	0.417	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.583	0.417	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.583	0.417	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.583	0.417	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.582	0.418	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.582	0.418	0.000
rs139052640 lBF = `3.08938` Chr`1` : `212,728,370`	0.582	0.418	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.582	0.418	0.000
rs59251082 lBF = `16.0591` Chr`11` : `132,584,575`	0.582	0.418	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.581	0.419	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.581	0.419	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.581	0.419	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.580	0.419	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.580	0.420	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.580	0.420	0.000
rs78535563 lBF = `12.3274` Chr`6` : `12,397,127`	0.580	0.420	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.580	0.420	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.579	0.420	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.579	0.421	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.579	0.421	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.578	0.421	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.578	0.422	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.578	0.422	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.578	0.422	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.577	0.422	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.577	0.423	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.577	0.423	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.577	0.423	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.576	0.423	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.576	0.423	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.576	0.424	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.576	0.424	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.576	0.424	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.575	0.424	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.575	0.425	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.575	0.425	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.575	0.425	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.575	0.425	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.574	0.425	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.574	0.425	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.574	0.426	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.574	0.426	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.573	0.426	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.573	0.426	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.573	0.427	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 X0317

log Bayes Factor = 95.4365

contains 2 variants

0.5413

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3415

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2775

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9877

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9787

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9723

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9686

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9577

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9489

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9396

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9378

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9376

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9363

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9360

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9313

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9312

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9132

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9012

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9010

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8931

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8927

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8883

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8880

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8873

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8855

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8752

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8637

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8595

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8571

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8558

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8550

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8460

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8435

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8394

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8251

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8210

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8173

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8077

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8042

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8029

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8004

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7910

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7895

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7874

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7854

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7773

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7688

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7662

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7641

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7634

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7566

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7538

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7493

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7482

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7402

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7393

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7373

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7341

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7291

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7242

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7135

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7090

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7062

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7051

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6900

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6819

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6786

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6714

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6670

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6661

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6588

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6586

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6577

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6524

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6515

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6490

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6476

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6440

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6437

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6409

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6304

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6262

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6243

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6193

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6157

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5947

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5846

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5709

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5524

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5436

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5423

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5371

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5328

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5323

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5310

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5307

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5226

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5194

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5077

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5053

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5042

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4990

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4955

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4945

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4917

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4900

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4876

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4857

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4850

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4761

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4696

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4693

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4678

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4649

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4645

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4551

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4506

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4496

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4476

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4465

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4438

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4229

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4191

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4183

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4182

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4172

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4172

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4119

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4068

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.4023

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3853

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3818

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3782

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3701

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3679

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3649

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3637

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3621

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3579

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3451

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3439

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3416

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3312

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3186

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3156

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3060

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2895

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2851

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2610

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2553

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2455

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2356

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2221

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2161

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2092

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1914

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1845

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1834

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1659

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1597

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1489

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1436

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1402

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1312

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1124

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0907

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0858

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0756

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0710

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0692

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0673

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0654

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0582

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0527

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.

Parent term	R70-R79 Abnormal findings on examination of blood, without diagnosis
Nested terms	R76.0 Raised antibody titer R76.1 Abnormal reaction to tuberculin test R76.2 False-positive serological test for syphilis R76.8 Other specified abnormal immunological findings in serum R76.9 Abnormal immunological finding in serum, unspecified

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`)