TreeWAS – [Z94.6] Bone transplant status

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
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.711	0.289	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.702	0.298	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.697	0.302	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.696	0.304	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.695	0.305	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.685	0.315	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.684	0.316	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.680	0.320	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.677	0.322	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.676	0.324	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.669	0.331	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.668	0.332	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.668	0.332	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.667	0.332	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.666	0.333	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.666	0.334	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.666	0.334	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.665	0.335	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.665	0.335	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.664	0.336	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.662	0.338	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.659	0.341	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.658	0.342	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.657	0.343	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.655	0.344	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.655	0.345	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.655	0.345	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.655	0.345	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.654	0.346	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.654	0.346	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.653	0.347	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.653	0.347	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.652	0.348	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.652	0.348	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.651	0.349	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.651	0.349	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.649	0.351	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.648	0.352	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.647	0.353	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.646	0.353	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.646	0.354	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.644	0.356	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.643	0.357	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.642	0.357	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.642	0.358	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.642	0.358	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.640	0.360	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.639	0.360	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.639	0.361	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.639	0.361	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.639	0.361	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.638	0.362	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.638	0.362	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.638	0.362	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.636	0.364	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.634	0.366	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.633	0.367	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.633	0.367	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.632	0.368	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.632	0.368	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.632	0.368	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.631	0.368	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.631	0.369	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.630	0.370	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.630	0.370	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.630	0.370	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.630	0.370	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.630	0.370	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.628	0.371	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.628	0.371	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.628	0.372	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.628	0.372	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.627	0.372	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.627	0.373	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.627	0.373	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.627	0.373	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.626	0.373	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.626	0.374	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.626	0.374	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.625	0.375	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.625	0.375	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.625	0.375	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.624	0.376	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.624	0.376	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.623	0.377	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.622	0.378	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.621	0.379	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.620	0.380	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.619	0.380	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.619	0.380	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.619	0.381	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.619	0.381	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.618	0.382	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.618	0.382	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.618	0.382	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.617	0.383	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.616	0.383	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.615	0.384	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.615	0.385	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.615	0.385	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.614	0.386	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.614	0.386	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.613	0.386	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.387	0.613
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.613	0.387	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.613	0.387	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.612	0.388	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.611	0.389	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.611	0.389	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.611	0.389	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.611	0.389	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.610	0.389	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.610	0.390	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.609	0.390	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.609	0.391	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.609	0.391	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.609	0.391	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.609	0.391	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.608	0.392	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.607	0.392	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.607	0.393	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.607	0.393	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.607	0.393	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.607	0.393	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.606	0.394	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.605	0.395	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.605	0.395	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.603	0.397	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.603	0.397	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.603	0.397	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.601	0.399	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.601	0.399	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.601	0.399	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.600	0.399	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.600	0.400	0.000
rs5011832 lBF = `6.12001` Chr`10` : `21,782,842`	0.600	0.400	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.600	0.400	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.600	0.400	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.600	0.400	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.600	0.400	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.599	0.400	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.598	0.401	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.598	0.402	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.598	0.402	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.598	0.402	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.597	0.403	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.597	0.403	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.596	0.404	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.595	0.405	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.595	0.405	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.595	0.405	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.595	0.405	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.594	0.406	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.594	0.406	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.594	0.406	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.594	0.406	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.593	0.406	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.593	0.407	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.593	0.407	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.593	0.407	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.593	0.407	0.000
rs115244944 lBF = `18.0031` Chr`1` : `5,826,134`	0.593	0.407	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.593	0.407	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.592	0.408	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.592	0.408	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.592	0.408	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.592	0.408	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.592	0.408	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.591	0.409	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.591	0.409	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.591	0.409	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.590	0.410	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.590	0.410	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.590	0.410	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.590	0.410	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.590	0.410	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.590	0.410	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.589	0.411	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.588	0.411	0.000
rs114712131 lBF = `14.8334` Chr`1` : `73,192,263`	0.588	0.412	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.588	0.412	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.588	0.412	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.588	0.412	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.588	0.412	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.587	0.412	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.587	0.413	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.587	0.413	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.586	0.413	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.586	0.413	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.586	0.413	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.586	0.414	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.585	0.415	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.585	0.415	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.585	0.415	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.585	0.415	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.585	0.415	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.585	0.415	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.584	0.415	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.584	0.416	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.584	0.416	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.583	0.417	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.583	0.417	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.582	0.418	0.000
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rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.534	0.466	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.534	0.466	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.534	0.466	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.534	0.466	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.534	0.466	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.534	0.466	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.533	0.466	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.533	0.466	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.533	0.467	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.533	0.467	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.533	0.467	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.533	0.467	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.533	0.467	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.532	0.467	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.532	0.467	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.532	0.468	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.532	0.468	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.532	0.468	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.532	0.468	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.531	0.469	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.530	0.470	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.530	0.470	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.530	0.470	0.000
rs62402485 lBF = `14.4447` Chr`6` : `21,913,817`	0.530	0.470	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.530	0.470	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.530	0.470	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.529	0.470	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.529	0.471	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.529	0.471	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.528	0.471	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.528	0.471	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.528	0.472	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.528	0.472	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.528	0.472	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.527	0.473	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.527	0.473	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.527	0.473	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.527	0.473	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.527	0.473	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.527	0.473	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.526	0.474	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.526	0.474	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.526	0.474	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.526	0.474	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.526	0.474	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.526	0.474	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.526	0.474	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.526	0.474	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.525	0.474	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.525	0.475	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.525	0.475	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.525	0.475	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.475	0.524
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.524	0.475	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.524	0.475	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.524	0.476	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.524	0.476	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.524	0.476	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.524	0.476	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.524	0.476	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.523	0.477	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.523	0.477	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.522	0.477	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.522	0.477	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.522	0.478	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.522	0.478	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.522	0.478	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.522	0.478	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.522	0.478	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.522	0.478	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.522	0.478	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.522	0.478	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.522	0.478	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.522	0.478	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.521	0.478	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.521	0.479	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.521	0.479	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.520	0.479	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.520	0.480	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.520	0.480	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.519	0.480	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.519	0.480	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.519	0.481	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.518	0.481	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.518	0.481	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.518	0.481	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.518	0.482	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.518	0.482	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.518	0.482	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.518	0.482	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.518	0.482	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.517	0.483	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.517	0.483	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.517	0.483	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.517	0.483	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

0.6370

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4661

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0550

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7168

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7168

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7167

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7167

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7165

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7160

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7160

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7159

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7158

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7156

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7156

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7153

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7152

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7151

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7149

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7146

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7145

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7144

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7131

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7129

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7125

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7107

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7101

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7085

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7063

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7059

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7056

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7053

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7053

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7047

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7041

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7037

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7024

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7021

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7010

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7009

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6998

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6992

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6972

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6955

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6950

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6927

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6923

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6923

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6904

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6896

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6867

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6859

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6855

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6852

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6849

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6826

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6771

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6762

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6736

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6700

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6671

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6666

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6652

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6648

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6643

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6640

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6612

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6597

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6550

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6546

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6542

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6492

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6490

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6476

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6474

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6460

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6399

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6378

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6264

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6230

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6203

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6140

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6111

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5978

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5970

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5915

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5846

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5821

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5621

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5597

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5507

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5453

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5356

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5343

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5209

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5179

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5087

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5024

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5006

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4943

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4900

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4885

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4733

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4689

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4459

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4455

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4312

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3711

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3710

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3706

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3272

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3188

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3173

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3147

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3143

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3101

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3031

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2754

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2461

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2458

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2370

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2239

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2226

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2175

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2144

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1946

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1926

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1415

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1231

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1221

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1174

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1097

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0869

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0797

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`)