TreeWAS – [B97.7] Papillomavirus 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`	0.936	0.064	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.927	0.073	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.882	0.118	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.882	0.118	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.864	0.136	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.860	0.140	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.844	0.156	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.828	0.172	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.825	0.175	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.822	0.178	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.822	0.178	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.821	0.179	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.816	0.184	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.816	0.184	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.812	0.187	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.810	0.189	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.810	0.190	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.792	0.208	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.788	0.212	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.788	0.212	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.783	0.217	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.780	0.220	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.779	0.221	0.000
rs2518568 lBF = `6.95938` Chr`1` : `159,092,667`	0.772	0.228	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.760	0.240	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.759	0.241	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.757	0.243	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.755	0.245	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.750	0.250	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.747	0.253	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.747	0.253	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.747	0.253	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.746	0.254	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.745	0.255	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.745	0.255	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.742	0.258	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.739	0.261	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.737	0.263	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.735	0.265	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.734	0.266	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.734	0.266	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.730	0.270	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.727	0.272	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.728	0.272	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.721	0.279	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.720	0.280	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.719	0.281	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.718	0.282	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.718	0.282	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.717	0.283	0.000
rs114198627 lBF = `18.7376` Chr`6` : `31,195,009`	0.714	0.286	0.000
rs116518618 lBF = `85.1896` Chr`6` : `32,594,998`	0.000	0.287	0.713
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.713	0.287	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.712	0.287	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.712	0.288	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.710	0.290	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.710	0.290	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.707	0.293	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.705	0.295	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.704	0.296	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.704	0.296	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.702	0.298	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.702	0.298	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.702	0.298	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.702	0.298	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.699	0.301	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.697	0.303	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.695	0.304	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.695	0.305	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.693	0.307	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.693	0.307	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.692	0.308	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.691	0.309	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.690	0.310	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.690	0.310	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.689	0.311	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.689	0.311	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.688	0.311	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.688	0.312	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.685	0.315	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.682	0.317	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.681	0.318	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.681	0.319	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.681	0.319	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.681	0.319	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.680	0.320	0.000
rs116234817 lBF = `75.2455` Chr`6` : `31,321,364`	0.680	0.320	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.680	0.320	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.679	0.321	0.000
rs9267536 lBF = `15.2088` Chr`6` : `31,651,194`	0.678	0.322	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.677	0.323	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.676	0.324	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.675	0.325	0.000
rs73730372 lBF = `80.3636` Chr`6` : `32,584,581`	0.000	0.326	0.674
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.673	0.326	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.671	0.329	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.671	0.329	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.670	0.330	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.670	0.330	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.670	0.330	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.669	0.331	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.669	0.331	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.663	0.337	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.663	0.337	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.659	0.341	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.658	0.342	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.657	0.343	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.656	0.344	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.654	0.346	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.654	0.346	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.653	0.346	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.651	0.349	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.650	0.350	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.650	0.350	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.649	0.351	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.647	0.353	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.646	0.354	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.646	0.354	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.646	0.354	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.645	0.355	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.644	0.356	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.644	0.356	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.644	0.356	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.644	0.356	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.641	0.359	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.641	0.359	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.640	0.360	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.640	0.360	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	0.639	0.361	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.638	0.362	0.000
rs73045695 lBF = `7.26665` Chr`3` : `177,547,836`	0.638	0.362	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.638	0.362	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.637	0.363	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.636	0.364	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.636	0.364	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.636	0.364	0.000
rs114963023 lBF = `14.7315` Chr`6` : `31,199,645`	0.635	0.365	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.635	0.365	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.634	0.366	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.633	0.367	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.632	0.368	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.632	0.368	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.631	0.369	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.630	0.370	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.630	0.370	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.629	0.371	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.629	0.371	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.629	0.371	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.629	0.371	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.628	0.372	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.627	0.373	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.626	0.374	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.626	0.374	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.626	0.374	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.626	0.374	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.625	0.375	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.624	0.376	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.624	0.376	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.623	0.377	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.623	0.377	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.622	0.378	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.622	0.378	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.621	0.379	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.621	0.379	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.621	0.379	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.621	0.379	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.620	0.380	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.618	0.382	0.000
rs28584179 lBF = `81.4202` Chr`6` : `32,626,119`	0.000	0.382	0.618
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.618	0.382	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.617	0.383	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.617	0.383	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.616	0.384	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.615	0.385	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.614	0.386	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.614	0.386	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.614	0.386	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.613	0.387	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.613	0.387	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.612	0.388	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.612	0.388	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.612	0.388	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.612	0.388	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.612	0.388	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.611	0.389	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.610	0.390	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.610	0.390	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.609	0.391	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.609	0.391	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.609	0.391	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.608	0.392	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.607	0.393	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.607	0.393	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.607	0.393	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.607	0.393	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.606	0.394	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.606	0.394	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.605	0.395	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.605	0.395	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.604	0.396	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.604	0.396	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.603	0.397	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.603	0.397	0.000
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rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.541	0.459	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.540	0.460	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.540	0.460	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.540	0.460	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.540	0.460	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.540	0.460	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.540	0.460	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.539	0.460	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.539	0.460	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.539	0.461	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.538	0.462	0.000
rs375244 lBF = `19.087` Chr`6` : `32,191,457`	0.000	0.462	0.538
rs34645399 lBF = `46.5` Chr`6` : `32,589,169`	0.000	0.462	0.538
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.538	0.462	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.538	0.462	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.538	0.462	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.537	0.463	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.537	0.463	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.537	0.463	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.537	0.463	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.536	0.464	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.536	0.464	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.536	0.464	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.536	0.464	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.536	0.464	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.535	0.465	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.535	0.465	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.534	0.466	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.534	0.466	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.534	0.466	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.534	0.466	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.534	0.466	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.534	0.466	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.533	0.466	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.534	0.466	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.533	0.466	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.533	0.467	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.533	0.467	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.533	0.467	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.533	0.467	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.532	0.467	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.533	0.467	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.532	0.467	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.532	0.468	0.000
rs11965214 lBF = `60.7415` Chr`6` : `30,647,005`	0.532	0.468	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.532	0.468	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.532	0.468	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.532	0.468	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.531	0.469	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.531	0.469	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.531	0.469	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.530	0.469	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.530	0.470	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.529	0.470	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.529	0.470	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.529	0.471	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.529	0.471	0.000
rs114215172 lBF = `73.1539` Chr`6` : `31,381,062`	0.529	0.471	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.529	0.471	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.528	0.472	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.528	0.472	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.528	0.472	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.528	0.472	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.528	0.472	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.527	0.473	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.527	0.473	0.000
rs4349859 lBF = `84.4382` Chr`6` : `31,365,787`	0.527	0.473	0.000
rs4476815 lBF = `1.44419` Chr`6` : `26,260,070`	0.527	0.473	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.527	0.473	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.527	0.473	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.527	0.473	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.527	0.473	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.526	0.474	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.526	0.474	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.525	0.475	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.525	0.475	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.525	0.475	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.525	0.475	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.525	0.475	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.525	0.475	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.524	0.476	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.524	0.476	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.524	0.476	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.524	0.476	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.524	0.476	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.524	0.476	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.524	0.476	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.524	0.476	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.524	0.476	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.523	0.477	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.523	0.477	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.523	0.477	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.523	0.477	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.523	0.477	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.523	0.477	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.523	0.477	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

0.2331

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1514

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1395

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9993

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9879

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8555

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8365

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8349

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8298

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8296

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8201

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8094

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8079

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8064

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7998

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7989

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7988

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7939

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7932

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7876

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7855

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7785

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7752

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7686

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7584

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7539

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7420

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7412

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7244

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7224

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7083

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6979

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6902

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6723

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6645

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6591

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6442

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6438

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6381

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6266

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6153

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6097

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6063

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5987

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5976

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5971

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5881

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5860

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5843

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5825

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5603

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5593

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5586

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5571

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5570

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5435

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5269

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5135

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4936

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4927

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4888

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4857

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4815

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4805

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4715

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4677

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4650

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4650

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4648

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4648

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4572

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4530

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4403

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4264

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4261

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4178

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4123

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3877

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3801

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3791

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3680

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3605

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3500

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3482

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3432

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3219

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3213

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3109

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3083

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3035

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2955

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2939

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2905

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2653

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2604

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2575

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2575

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2553

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2506

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2390

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2363

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2358

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2356

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2283

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2278

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2136

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2072

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1984

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1977

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1907

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1865

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1846

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1826

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1811

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1691

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1657

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1591

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1583

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1531

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1519

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1473

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1465

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1455

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1439

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1425

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1391

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1371

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1371

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1369

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1324

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1307

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1241

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1238

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1204

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1197

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1128

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1105

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1052

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1025

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1012

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1000

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0967

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0820

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0731

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0654

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0582

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`)