TreeWAS – [R72] Abnormality of white blood cells, 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
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.964	0.036	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.944	0.056	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.912	0.088	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.908	0.092	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.900	0.100	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.892	0.108	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.868	0.132	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.849	0.151	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.845	0.155	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.843	0.157	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.842	0.158	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.842	0.158	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.841	0.159	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.835	0.165	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.833	0.167	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.822	0.178	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.818	0.182	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.816	0.184	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.816	0.184	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.812	0.188	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.812	0.188	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.810	0.190	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.810	0.190	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.809	0.191	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.807	0.193	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.806	0.194	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.803	0.197	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.799	0.201	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.799	0.201	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.797	0.203	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.793	0.207	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.793	0.207	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.790	0.209	0.000
rs4713467 lBF = `13.306` Chr`6` : `31,437,275`	0.790	0.209	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.787	0.213	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.786	0.214	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.786	0.214	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.786	0.214	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.785	0.215	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.784	0.216	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.783	0.217	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.781	0.219	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.780	0.220	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.778	0.222	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.778	0.222	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.778	0.222	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.777	0.223	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.776	0.224	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.774	0.226	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.773	0.227	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.769	0.231	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.769	0.231	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.768	0.231	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.767	0.233	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.765	0.235	0.000
rs181704351 lBF = `8.19928` Chr`1` : `70,147,866`	0.764	0.236	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.762	0.238	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.758	0.242	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.758	0.242	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.753	0.247	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.751	0.249	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.750	0.250	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.749	0.251	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.749	0.251	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.746	0.254	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.745	0.255	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.744	0.256	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.744	0.256	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.742	0.258	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.742	0.258	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.740	0.260	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.740	0.260	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.739	0.261	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.737	0.263	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.736	0.264	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.736	0.264	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.735	0.265	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.735	0.265	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.735	0.265	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.735	0.265	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.733	0.267	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.733	0.267	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.731	0.269	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.731	0.269	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.729	0.271	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.727	0.273	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.726	0.274	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.726	0.274	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.725	0.275	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.724	0.275	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.724	0.276	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.724	0.276	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.723	0.277	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.722	0.278	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.721	0.279	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.720	0.280	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.720	0.280	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.719	0.281	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.719	0.281	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.718	0.282	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.718	0.282	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.716	0.284	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.716	0.284	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.716	0.284	0.000
rs78535563 lBF = `12.3274` Chr`6` : `12,397,127`	0.712	0.288	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.712	0.288	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.712	0.288	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.712	0.288	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.712	0.288	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.711	0.289	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.710	0.290	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.710	0.290	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.709	0.291	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.708	0.291	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.708	0.292	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.707	0.293	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.706	0.294	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.706	0.294	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.704	0.295	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.704	0.296	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.703	0.297	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.703	0.297	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.703	0.297	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.702	0.298	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.702	0.298	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.702	0.298	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.701	0.299	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.700	0.300	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.700	0.300	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.698	0.301	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.698	0.301	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.697	0.303	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.696	0.304	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.696	0.304	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.696	0.304	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.694	0.306	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.692	0.308	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.691	0.309	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.691	0.309	0.000
rs16867713 lBF = `3.5914` Chr`5` : `15,783,500`	0.690	0.309	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.690	0.310	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.689	0.311	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.689	0.311	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.687	0.313	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.687	0.313	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.687	0.313	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.686	0.313	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.686	0.314	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.683	0.316	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.683	0.317	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.682	0.318	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.680	0.320	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.680	0.320	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.679	0.321	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.679	0.321	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.678	0.322	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.678	0.322	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.678	0.322	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.678	0.322	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.678	0.322	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.677	0.323	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.677	0.323	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.677	0.323	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.676	0.324	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.676	0.324	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.676	0.324	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.675	0.325	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.675	0.325	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.675	0.325	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.675	0.325	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.673	0.327	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.673	0.327	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.673	0.327	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.672	0.328	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.671	0.329	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.670	0.330	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.670	0.330	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.670	0.330	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.669	0.331	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.669	0.331	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.669	0.331	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.668	0.332	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.668	0.332	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.668	0.332	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.667	0.333	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.667	0.333	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.666	0.334	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.666	0.334	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.665	0.335	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.665	0.335	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.665	0.335	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.664	0.336	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.664	0.336	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.664	0.336	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.664	0.336	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.663	0.337	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.663	0.337	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.663	0.337	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.663	0.337	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.663	0.337	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.662	0.338	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.662	0.338	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.661	0.338	0.000
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rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.595	0.405	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.595	0.405	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.595	0.405	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.594	0.405	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.594	0.405	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.594	0.405	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.594	0.406	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.594	0.406	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.594	0.406	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.594	0.406	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.594	0.406	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.594	0.406	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.593	0.407	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.592	0.407	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.592	0.408	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.592	0.408	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.592	0.408	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.592	0.408	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.592	0.408	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.592	0.408	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.591	0.409	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.591	0.409	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.409	0.590
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.590	0.410	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.590	0.410	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.590	0.410	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.590	0.410	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.589	0.410	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.589	0.411	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.589	0.411	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.588	0.412	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.588	0.412	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.588	0.412	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.587	0.413	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.587	0.413	0.000
rs149049329 lBF = `6.27065` Chr`3` : `187,597,927`	0.586	0.413	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.586	0.414	0.000
rs188954228 lBF = `4.76675` Chr`11` : `64,682,925`	0.586	0.414	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.586	0.414	0.000
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.586	0.414	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.586	0.414	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.586	0.414	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.585	0.414	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.585	0.415	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.584	0.415	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.584	0.416	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.584	0.416	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.583	0.417	0.000
rs41257954 lBF = `20.527` Chr`6` : `31,138,310`	0.583	0.417	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.583	0.417	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.583	0.417	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.583	0.417	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.582	0.418	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	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
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.582	0.418	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.582	0.418	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.582	0.418	0.000
rs17806606 lBF = `13.7652` Chr`6` : `111,381,063`	0.581	0.419	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.580	0.420	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.580	0.420	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.580	0.420	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.580	0.420	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.580	0.420	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.580	0.420	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.579	0.420	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.579	0.421	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.579	0.421	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.579	0.421	0.000
rs12222221 lBF = `8.0928` Chr`11` : `49,488,707`	0.579	0.421	0.000
rs7554182 lBF = `3.02734` Chr`1` : `182,021,283`	0.579	0.421	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.579	0.421	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.579	0.421	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.579	0.421	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.579	0.421	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.578	0.422	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.578	0.422	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.578	0.422	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.577	0.423	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.577	0.423	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.576	0.424	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.576	0.424	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.576	0.424	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.576	0.424	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.575	0.424	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.575	0.425	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.574	0.425	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.573	0.427	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.573	0.427	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.573	0.427	0.000
rs12202207 lBF = `21.8317` Chr`6` : `31,053,843`	0.573	0.427	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.572	0.428	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.572	0.428	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.3040

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2923

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.2549

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9968

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9940

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9920

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9867

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9837

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9822

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9728

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9709

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9696

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9686

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9679

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9677

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9553

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9510

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9440

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9332

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9323

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9313

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9271

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9255

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9225

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9194

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9183

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9180

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9069

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9065

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9055

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9038

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8925

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8911

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8892

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8574

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8543

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8496

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8470

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8457

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8451

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8426

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8425

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8418

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8410

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8394

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8289

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8283

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8230

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8094

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7953

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7892

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7852

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7742

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7641

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7582

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7537

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7536

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7409

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7321

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7314

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7286

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7183

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7083

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6971

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6899

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6832

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6832

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6827

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6691

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6552

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6392

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6378

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6272

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5983

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5859

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5852

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5569

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5487

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5431

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5418

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5266

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5130

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5102

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5016

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4992

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4978

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4940

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4914

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4888

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4848

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4813

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4668

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4660

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4643

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4586

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4570

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4459

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4457

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4255

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4155

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4060

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3888

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3846

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3553

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3537

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3507

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3445

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3425

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3376

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3367

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3251

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3050

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3008

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3001

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2831

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.2806

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2801

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2501

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2329

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2306

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2220

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2193

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2162

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1983

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1964

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1885

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1809

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1774

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1765

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1647

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1625

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1597

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1373

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1359

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1230

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1194

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1191

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1051

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1040

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0981

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0949

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0930

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0928

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0889

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0874

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0871

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0847

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0832

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0643

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0627

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0605

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0588

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0574

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0565

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0564

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0544

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0525

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`)