TreeWAS – [B97] Viral agents as the cause of diseases classified to other chapters

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
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.967	0.033	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.950	0.050	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.950	0.050	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.936	0.064	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.929	0.071	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.928	0.072	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.924	0.076	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.923	0.077	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.918	0.082	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.909	0.091	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.900	0.100	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.897	0.103	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.893	0.107	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.890	0.110	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.887	0.113	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.886	0.114	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.884	0.116	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.883	0.117	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.882	0.118	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.882	0.118	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.881	0.119	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.875	0.125	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.874	0.126	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.873	0.127	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.870	0.130	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.869	0.131	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.868	0.132	0.000
rs2518568 lBF = `6.95938` Chr`1` : `159,092,667`	0.868	0.132	0.000
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.868	0.132	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.868	0.132	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.865	0.135	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.864	0.136	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.864	0.136	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.862	0.138	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.860	0.140	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.857	0.143	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.856	0.144	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.856	0.144	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.855	0.145	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.855	0.145	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.854	0.146	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.853	0.147	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.852	0.148	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.851	0.149	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.850	0.150	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.850	0.150	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.850	0.150	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.849	0.151	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.848	0.152	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.847	0.153	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.846	0.154	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.845	0.155	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.844	0.156	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.843	0.157	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.843	0.157	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.843	0.157	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.841	0.159	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.841	0.159	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.841	0.159	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.840	0.160	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.840	0.160	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.838	0.162	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.835	0.165	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.834	0.166	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.834	0.166	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.831	0.169	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.830	0.170	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.830	0.170	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.829	0.171	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.829	0.171	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.829	0.171	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.829	0.171	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.827	0.173	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.827	0.173	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.827	0.173	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.826	0.174	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.826	0.174	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.826	0.174	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.825	0.175	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.825	0.175	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.825	0.175	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.825	0.175	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.825	0.175	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.822	0.178	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.822	0.178	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.822	0.178	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.821	0.179	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.821	0.179	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.820	0.180	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.820	0.180	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.820	0.180	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.819	0.181	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.819	0.181	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.819	0.181	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.817	0.183	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.817	0.183	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.816	0.184	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.816	0.184	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.816	0.184	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.815	0.185	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.813	0.187	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.812	0.187	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.812	0.188	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.812	0.188	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.812	0.188	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.812	0.188	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.811	0.189	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.810	0.189	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.810	0.190	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.810	0.190	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.810	0.190	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.810	0.190	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.809	0.191	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.809	0.191	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.808	0.192	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.808	0.192	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.807	0.193	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.806	0.194	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.806	0.194	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.805	0.195	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.804	0.196	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.804	0.196	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.804	0.196	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.803	0.197	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.803	0.197	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.802	0.197	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.801	0.199	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.801	0.199	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.800	0.200	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.800	0.200	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.800	0.200	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.800	0.200	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.799	0.201	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.799	0.201	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.799	0.201	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.799	0.201	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.799	0.201	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.798	0.202	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.797	0.203	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.797	0.203	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.797	0.203	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.797	0.203	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.797	0.203	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.796	0.204	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.796	0.204	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.796	0.204	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.795	0.205	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.795	0.205	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.795	0.205	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.795	0.205	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.793	0.207	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.792	0.208	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.792	0.208	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.791	0.209	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.791	0.209	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.791	0.209	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.790	0.210	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.788	0.212	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.788	0.212	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.787	0.213	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.786	0.214	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.785	0.215	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.784	0.216	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.784	0.216	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.784	0.216	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.784	0.216	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.782	0.218	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.782	0.218	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.782	0.218	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.781	0.219	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.781	0.219	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.781	0.219	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.781	0.219	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.781	0.219	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.781	0.219	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.781	0.219	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.780	0.220	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.780	0.220	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.779	0.221	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.779	0.221	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.779	0.221	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.779	0.221	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.778	0.222	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.778	0.222	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.778	0.222	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.778	0.222	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.778	0.222	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.777	0.223	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.777	0.223	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.777	0.223	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.777	0.223	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.776	0.224	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.775	0.225	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.775	0.225	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.774	0.226	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.772	0.228	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.772	0.228	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.772	0.228	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.772	0.228	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.772	0.228	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.771	0.229	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.771	0.229	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.771	0.229	0.000
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rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.717	0.283	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.717	0.283	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.717	0.283	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.717	0.283	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.716	0.283	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.716	0.283	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.716	0.284	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.716	0.284	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.716	0.284	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.716	0.284	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.716	0.284	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.716	0.284	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.716	0.284	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.715	0.285	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.715	0.285	0.000
rs73730372 lBF = `80.3636` Chr`6` : `32,584,581`	0.000	0.285	0.715
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.715	0.285	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.714	0.285	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.714	0.286	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.714	0.286	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.714	0.286	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.714	0.286	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.714	0.286	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.713	0.287	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.713	0.287	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.713	0.287	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.713	0.287	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.713	0.287	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.712	0.287	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.712	0.288	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.712	0.288	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.712	0.288	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.712	0.288	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.711	0.288	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.711	0.289	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.711	0.289	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.711	0.289	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.711	0.289	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.711	0.289	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.711	0.289	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.710	0.289	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.710	0.290	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.710	0.290	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.710	0.290	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.710	0.290	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.710	0.290	0.000
rs77141874 lBF = `14.9976` Chr`6` : `55,438,094`	0.709	0.291	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.709	0.291	0.000
rs28986317 lBF = `61.8683` Chr`6` : `30,671,989`	0.709	0.291	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.709	0.291	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.709	0.291	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.709	0.291	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.708	0.292	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.708	0.292	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.708	0.292	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.708	0.292	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.707	0.293	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.707	0.293	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.707	0.293	0.000
rs116862299 lBF = `18.7035` Chr`10` : `74,791,548`	0.707	0.293	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.706	0.293	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.706	0.294	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.706	0.294	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.706	0.294	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.706	0.294	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.706	0.294	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.705	0.294	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.705	0.295	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.705	0.295	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.705	0.295	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.704	0.296	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.704	0.296	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.704	0.296	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.704	0.296	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.704	0.296	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.704	0.296	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.703	0.297	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.703	0.297	0.000
rs116201121 lBF = `1.88745` Chr`6` : `9,993,737`	0.703	0.297	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.703	0.297	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.702	0.297	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.702	0.298	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.702	0.298	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.702	0.298	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.702	0.298	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.701	0.299	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.701	0.299	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.701	0.299	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.701	0.299	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.701	0.299	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.701	0.299	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.701	0.299	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.700	0.300	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.700	0.300	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.700	0.300	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.699	0.301	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

0.2966

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2656

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2182

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9992

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9959

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9900

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9866

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9851

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9726

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9625

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9609

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9585

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9536

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9509

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9469

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9438

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9437

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9326

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9324

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9317

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9315

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9304

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9291

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9289

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9264

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9242

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9219

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9198

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9146

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9137

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9084

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9081

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9073

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9012

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9012

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8997

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8975

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8949

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8921

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8905

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8900

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8895

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8849

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8811

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8746

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8722

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8669

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8657

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8633

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8608

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8607

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8522

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8440

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8338

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8337

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8313

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8305

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8249

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8190

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8162

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8159

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8149

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8143

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7837

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7770

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7765

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7734

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7636

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7634

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7629

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7608

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7600

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7443

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7425

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7304

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7296

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7293

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7175

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7158

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7132

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7121

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7072

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6777

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6636

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6623

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6500

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6475

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6412

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6330

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6215

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6147

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6087

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6010

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5774

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5740

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5725

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5709

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5619

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5451

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5428

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5312

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5268

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5205

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5201

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5198

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4976

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4930

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4876

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4784

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4777

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4605

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4513

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4485

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4429

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4345

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4319

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4246

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4174

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4105

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3930

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3868

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3793

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3464

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3337

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3318

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3317

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3278

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3173

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3172

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3139

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3080

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3072

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2983

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2962

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2884

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2790

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2782

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2733

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2722

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2592

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2473

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2336

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2292

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2211

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2071

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2054

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2053

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2038

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1941

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1810

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1760

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1756

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1733

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1670

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1567

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1566

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1545

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1505

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.1443

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1339

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1335

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1303

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1170

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1057

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0957

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0898

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0838

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0764

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0672

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0645

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0642

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0625

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0597

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0569

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0563

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0543

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0541

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0539

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0521

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`)