TreeWAS – [I62.1] Nontraumatic extradural haemorrhage

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
rs428081 lBF = `99.8327` Chr`6` : `29,906,512`	0.800	0.200	0.000
rs9260112 lBF = `99.5353` Chr`6` : `29,909,918`	0.783	0.217	0.000
rs2508037 lBF = `103.422` Chr`6` : `29,918,436`	0.781	0.219	0.000
rs417162 lBF = `103.393` Chr`6` : `29,916,505`	0.774	0.226	0.000
rs376646 lBF = `102.081` Chr`6` : `29,914,377`	0.752	0.247	0.000
rs2975043 lBF = `102.582` Chr`6` : `29,918,734`	0.751	0.249	0.000
rs6843082 lBF = `86.0876` Chr`4` : `111,718,067`	0.702	0.298	0.000
rs9260489 lBF = `97.3753` Chr`6` : `29,920,332`	0.000	0.299	0.701
rs2517713 lBF = `96.1363` Chr`6` : `29,918,099`	0.000	0.304	0.696
rs1448817 lBF = `50.4126` Chr`4` : `111,641,053`	0.694	0.305	0.000
rs2200733 lBF = `66.0925` Chr`4` : `111,710,169`	0.691	0.309	0.000
rs12646447 lBF = `65.8464` Chr`4` : `111,699,326`	0.690	0.309	0.000
rs6817105 lBF = `64.6903` Chr`4` : `111,705,768`	0.690	0.310	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.688	0.312	0.000
rs2634074 lBF = `82.5116` Chr`4` : `111,677,041`	0.000	0.314	0.686
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.683	0.316	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.680	0.320	0.000
rs17042081 lBF = `59.9223` Chr`4` : `111,653,211`	0.676	0.324	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.675	0.325	0.000
rs12570824 lBF = `7.11255` Chr`10` : `65,730,654`	0.673	0.327	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.336	0.664
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.659	0.341	0.000
rs1264376 lBF = `301.742` Chr`6` : `30,765,579`	0.658	0.342	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.658	0.342	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.656	0.344	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.656	0.344	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.656	0.344	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.655	0.345	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.655	0.345	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.654	0.346	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.654	0.346	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.653	0.347	0.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	0.651	0.349	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.651	0.349	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.649	0.350	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.649	0.351	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.648	0.351	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.648	0.352	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.647	0.353	0.000
rs2157338 lBF = `85.9562` Chr`6` : `32,439,323`	0.645	0.355	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.644	0.356	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.644	0.356	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.644	0.356	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.643	0.357	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.642	0.358	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.641	0.359	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.641	0.359	0.000
rs75021220 lBF = `47.1082` Chr`4` : `111,658,394`	0.640	0.360	0.000
rs11205277 lBF = `2.49265` Chr`1` : `149,892,872`	0.638	0.362	0.000
rs4434496 lBF = `81.5662` Chr`6` : `32,430,508`	0.637	0.363	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.637	0.363	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.636	0.363	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.636	0.364	0.000
rs9268862 lBF = `82.0613` Chr`6` : `32,430,167`	0.633	0.367	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	0.632	0.368	0.000
rs9268973 lBF = `82.169` Chr`6` : `32,434,778`	0.631	0.368	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.630	0.370	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.629	0.371	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.629	0.371	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.628	0.372	0.000
rs9268977 lBF = `81.7979` Chr`6` : `32,434,939`	0.628	0.372	0.000
rs9268856 lBF = `82.1309` Chr`6` : `32,429,719`	0.628	0.372	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.628	0.372	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.626	0.374	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.624	0.376	0.000
rs9269149 lBF = `81.9951` Chr`6` : `32,445,660`	0.624	0.376	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.623	0.377	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.623	0.377	0.000
rs11205303 lBF = `2.9487` Chr`1` : `149,906,413`	0.622	0.378	0.000
rs591166 lBF = `2.16446` Chr`18` : `57,841,589`	0.000	0.379	0.621
rs9268832 lBF = `268.042` Chr`6` : `32,427,789`	0.619	0.380	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.619	0.381	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.619	0.381	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.618	0.381	0.000
rs9268885 lBF = `80.4183` Chr`6` : `32,431,705`	0.618	0.382	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.617	0.383	0.000
rs2860580 lBF = `89.9686` Chr`6` : `29,906,691`	0.000	0.383	0.617
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.616	0.384	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.615	0.385	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.614	0.386	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.613	0.387	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.613	0.387	0.000
rs3129890 lBF = `86.6135` Chr`6` : `32,414,273`	0.613	0.387	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.611	0.389	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.611	0.389	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.610	0.390	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.610	0.390	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.609	0.391	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.608	0.392	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.607	0.392	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.607	0.393	0.000
rs1412829 lBF = `154.353` Chr`9` : `22,043,926`	0.000	0.393	0.607
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.607	0.393	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.606	0.393	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.606	0.393	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.606	0.393	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.606	0.394	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.605	0.395	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.605	0.395	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.605	0.395	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.604	0.396	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.604	0.396	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.603	0.397	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.603	0.397	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.603	0.397	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.602	0.397	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.602	0.398	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.602	0.398	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.601	0.399	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.601	0.399	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.601	0.399	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	0.399	0.601
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.600	0.400	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.600	0.400	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.599	0.400	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.599	0.400	0.000
rs1235162 lBF = `240.328` Chr`6` : `29,537,224`	0.599	0.401	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.598	0.401	0.000
rs404240 lBF = `232.726` Chr`6` : `29,523,957`	0.598	0.401	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.598	0.402	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.598	0.402	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.598	0.402	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.597	0.403	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.597	0.403	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.597	0.403	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.596	0.404	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.596	0.404	0.000
rs5744680 lBF = `6.97231` Chr`5` : `74,879,890`	0.000	0.404	0.596
Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.596	0.404	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.595	0.404	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.595	0.405	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.595	0.405	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.594	0.406	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.594	0.406	0.000
rs2331841 lBF = `1.76608` Chr`18` : `57,828,637`	0.000	0.406	0.593
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.593	0.407	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.593	0.407	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.592	0.408	0.000
rs61772626 lBF = `10.1601` Chr`1` : `57,015,668`	0.592	0.408	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.592	0.408	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.592	0.408	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	0.592	0.408	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.591	0.409	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.591	0.409	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.591	0.409	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.590	0.409	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.590	0.410	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.590	0.410	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.590	0.410	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.590	0.410	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.590	0.410	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.590	0.410	0.000
rs2290161 lBF = `15.2998` Chr`3` : `12,633,168`	0.590	0.410	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.589	0.410	0.000
rs9488238 lBF = `2.8638` Chr`6` : `114,017,133`	0.589	0.410	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.589	0.410	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.589	0.411	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.589	0.411	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.588	0.412	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.588	0.412	0.000
rs72910057 lBF = `5.59425` Chr`11` : `46,331,362`	0.588	0.412	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.587	0.413	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.587	0.413	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.586	0.414	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.586	0.414	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.586	0.414	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.586	0.414	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.585	0.414	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.585	0.414	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.585	0.415	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.585	0.415	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.585	0.415	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.585	0.415	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.585	0.415	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.585	0.415	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.585	0.415	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.585	0.415	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.584	0.415	0.000
rs442694 lBF = `223.716` Chr`6` : `29,356,687`	0.584	0.416	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.584	0.416	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.584	0.416	0.000
rs11102516 lBF = `10.1081` Chr`1` : `113,161,350`	0.584	0.416	0.000
rs2232423 lBF = `201.397` Chr`6` : `28,366,151`	0.584	0.416	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.584	0.416	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.583	0.416	0.000
rs11748027 lBF = `6.92606` Chr`5` : `74,909,972`	0.000	0.417	0.582
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.582	0.418	0.000
rs41272485 lBF = `12.7038` Chr`1` : `170,135,693`	0.582	0.418	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.582	0.418	0.000
rs75947923 lBF = `5.12373` Chr`2` : `22,695,916`	0.581	0.418	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.581	0.419	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.581	0.419	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.581	0.419	0.000
rs9257809 lBF = `220.028` Chr`6` : `29,356,331`	0.581	0.419	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.581	0.419	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.581	0.419	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.581	0.419	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.581	0.419	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.580	0.420	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.580	0.420	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.580	0.420	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.579	0.420	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.579	0.420	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.579	0.421	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.579	0.421	0.000
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rs77731990 lBF = `1.89865` Chr`2` : `184,556,860`	0.542	0.458	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.542	0.458	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.542	0.458	0.000
rs115686841 lBF = `19.4793` Chr`1` : `168,849,245`	0.542	0.458	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.541	0.458	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.541	0.459	0.000
rs17229494 lBF = `5.20366` Chr`21` : `38,928,100`	0.541	0.459	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.541	0.459	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.541	0.459	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.541	0.459	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.541	0.459	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.541	0.459	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.540	0.459	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.540	0.460	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.540	0.460	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.540	0.460	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.540	0.460	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.540	0.460	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.539	0.460	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.539	0.461	0.000
rs12212507 lBF = `8.99` Chr`6` : `161,071,982`	0.000	0.461	0.539
rs41266839 lBF = `173.744` Chr`6` : `26,409,890`	0.539	0.461	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.539	0.461	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.539	0.461	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.538	0.461	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.538	0.462	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.538	0.462	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.538	0.462	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.538	0.462	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.538	0.462	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.538	0.462	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.538	0.462	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.538	0.462	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.538	0.462	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.537	0.462	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.537	0.462	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.537	0.463	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.537	0.463	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.537	0.463	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.537	0.463	0.000
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.000	0.463	0.537
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.536	0.463	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.536	0.464	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.536	0.464	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.536	0.464	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.536	0.464	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.536	0.464	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.536	0.464	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.535	0.464	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.535	0.464	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.535	0.464	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.535	0.465	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.535	0.465	0.000
rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.535	0.465	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.535	0.465	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.535	0.465	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.535	0.465	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.534	0.465	0.000
rs34507830 lBF = `17.4268` Chr`11` : `69,461,686`	0.534	0.466	0.000
rs3846662 lBF = `8.07221` Chr`5` : `74,651,084`	0.000	0.466	0.534
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.534	0.466	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.534	0.466	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.534	0.466	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.534	0.466	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.534	0.466	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.534	0.466	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.533	0.466	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.533	0.467	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.533	0.467	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.533	0.467	0.000
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.000	0.467	0.533
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.533	0.467	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.533	0.467	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.532	0.467	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.532	0.467	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.532	0.467	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.532	0.468	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.532	0.468	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.532	0.468	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.532	0.468	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.532	0.468	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.532	0.468	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.531	0.469	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.531	0.469	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.531	0.469	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.531	0.469	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.531	0.469	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.530	0.469	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.530	0.469	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.530	0.469	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.530	0.470	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 X0292

log Bayes Factor = 11.0442

contains 1 variants

0.4006

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2698

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1221

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7141

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7133

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7129

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7123

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7113

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7106

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7079

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7074

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7058

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7047

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7042

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7036

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7023

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6997

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6989

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6976

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6972

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6969

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6962

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6950

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6937

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6902

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6840

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6825

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.6803

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6793

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6785

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6767

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6732

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6710

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6707

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6666

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6638

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6623

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6608

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6591

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6584

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6583

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6578

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6564

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6563

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6554

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6509

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6447

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6436

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6412

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6409

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6400

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6391

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6388

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6335

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6335

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6333

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6293

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6292

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6281

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6265

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6261

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6255

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6244

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6189

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6173

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6163

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6136

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6054

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6039

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6025

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6019

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5981

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5961

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5936

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5936

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5933

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5924

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5920

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5876

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5828

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5821

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5776

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5753

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5749

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5734

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5681

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5659

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5658

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5655

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5654

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5592

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5583

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5580

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5557

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5533

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5518

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5497

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5480

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5472

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5434

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5405

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5359

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5322

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5320

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5311

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5307

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5304

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5299

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5289

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5260

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5200

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.5194

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5193

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5175

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5158

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5148

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5147

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5146

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5128

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5111

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5110

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5049

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5047

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4838

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4750

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4729

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4698

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4640

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4639

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4625

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.4605

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4580

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4562

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4554

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4527

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4479

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4472

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4422

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4414

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4396

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4353

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4288

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4173

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4123

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4085

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4051

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4048

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4018

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3876

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3875

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3815

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3739

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3731

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3625

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3611

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3570

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3429

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3357

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3288

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3263

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3166

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3158

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3118

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2998

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2780

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2765

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2726

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2720

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2691

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2441

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2415

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2375

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2364

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2326

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2261

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2200

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2105

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1835

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1565

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1547

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1489

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1455

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.1363

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.1299

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1274

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1205

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1195

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1105

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1066

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1035

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1034

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0912

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0909

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0816

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0776

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0670

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0538

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`)