TreeWAS – [Z46.8] Fitting and adjustment of other specified devices

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
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.858	0.142	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.823	0.177	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.819	0.181	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.814	0.186	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.809	0.191	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.800	0.200	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.798	0.202	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.789	0.211	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.777	0.223	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.774	0.226	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.773	0.227	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.766	0.234	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.764	0.236	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.763	0.237	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.762	0.238	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.759	0.241	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.758	0.242	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.757	0.243	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.757	0.243	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.756	0.244	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.754	0.246	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.752	0.248	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.747	0.253	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.741	0.259	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.740	0.260	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.739	0.261	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.739	0.261	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.733	0.267	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.732	0.268	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.729	0.271	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.724	0.276	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.724	0.276	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.724	0.276	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.723	0.277	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.722	0.278	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.720	0.280	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.719	0.281	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.715	0.285	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.715	0.285	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.715	0.285	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.714	0.286	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.714	0.286	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.713	0.287	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.713	0.287	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.713	0.287	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.712	0.288	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.711	0.289	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.711	0.289	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.710	0.290	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.709	0.290	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.708	0.292	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.707	0.293	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.707	0.293	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.705	0.295	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.704	0.296	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.703	0.297	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.702	0.297	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.700	0.300	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.700	0.300	0.000
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.699	0.301	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.699	0.301	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.698	0.302	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.698	0.302	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.697	0.302	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.697	0.302	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.697	0.303	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.305	0.695
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.693	0.307	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.693	0.307	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.691	0.309	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.691	0.309	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.691	0.309	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.690	0.310	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.689	0.311	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.688	0.311	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.687	0.313	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.687	0.313	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.687	0.313	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.685	0.315	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.684	0.315	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.684	0.316	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.679	0.321	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.679	0.321	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.678	0.321	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.323	0.677
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.676	0.323	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.676	0.323	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.674	0.325	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.674	0.326	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.674	0.326	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.674	0.326	0.000
rs74765593 lBF = `18.3408` Chr`3` : `182,339,787`	0.674	0.326	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.673	0.327	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.672	0.328	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.670	0.329	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.670	0.330	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.669	0.331	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.669	0.331	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.668	0.332	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.667	0.333	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.667	0.333	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.666	0.334	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.665	0.334	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.665	0.335	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.665	0.335	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.665	0.335	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.665	0.335	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.664	0.336	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.664	0.336	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.664	0.336	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.664	0.336	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.663	0.336	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.663	0.337	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.663	0.337	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.662	0.338	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.661	0.338	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.661	0.339	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.661	0.339	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.659	0.341	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.658	0.341	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.658	0.341	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.658	0.342	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.656	0.344	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.656	0.344	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.656	0.344	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.654	0.346	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.654	0.346	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.653	0.346	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.652	0.348	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.651	0.349	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.650	0.350	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.648	0.351	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.648	0.352	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.648	0.352	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.648	0.352	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.648	0.352	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.647	0.353	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.646	0.354	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.645	0.355	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.644	0.356	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.642	0.358	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.642	0.358	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.642	0.358	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.641	0.359	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.641	0.359	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.641	0.359	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.639	0.361	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.638	0.362	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.637	0.362	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.636	0.364	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.635	0.365	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.635	0.365	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.635	0.365	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.634	0.366	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.634	0.366	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.633	0.366	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.633	0.367	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.631	0.369	0.000
rs138315285 lBF = `8.90999` Chr`11` : `48,064,194`	0.631	0.369	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.630	0.370	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.628	0.372	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.628	0.372	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.627	0.373	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.626	0.374	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.626	0.374	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.625	0.374	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.624	0.376	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.623	0.376	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.623	0.377	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.623	0.377	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.623	0.377	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.622	0.377	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.622	0.378	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.622	0.378	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.621	0.379	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.621	0.379	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.621	0.379	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.621	0.379	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.620	0.380	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.620	0.380	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.620	0.380	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.619	0.381	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.618	0.381	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.618	0.382	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.618	0.382	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.617	0.382	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.616	0.384	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.615	0.385	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.614	0.386	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.613	0.387	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.613	0.387	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.612	0.387	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.612	0.388	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.612	0.388	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.611	0.389	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.611	0.389	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.611	0.389	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.609	0.391	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.608	0.392	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.608	0.392	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.608	0.392	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.607	0.393	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.606	0.394	0.000
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rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.513	0.487	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.512	0.488	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.512	0.488	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.512	0.488	0.000
rs7283054 lBF = `1.12404` Chr`21` : `31,519,307`	0.511	0.489	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.511	0.489	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.511	0.489	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.510	0.490	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.510	0.490	0.000
rs112833835 lBF = `14.7107` Chr`1` : `225,084,059`	0.509	0.490	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.509	0.491	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.509	0.491	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.508	0.492	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.507	0.492	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.507	0.493	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.507	0.493	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.506	0.493	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.506	0.493	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.506	0.494	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.505	0.495	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.505	0.495	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.504	0.495	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.504	0.496	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.504	0.496	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.504	0.496	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.504	0.496	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.503	0.497	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.502	0.498	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.501	0.498	0.000
rs74427637 lBF = `7.16635` Chr`3` : `792,827`	0.501	0.499	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.501	0.499	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.501	0.499	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.501	0.499	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.501	0.499	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.500	0.500	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.499	0.501	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.499	0.501	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.499	0.501	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.499	0.501	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.499	0.501	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.498	0.501	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.498	0.501	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.498	0.502	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.498	0.502	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.497	0.503	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.497	0.503	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.497	0.503	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.497	0.503	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.497	0.503	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.496	0.503	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.496	0.504	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.496	0.504	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.495	0.505	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.495	0.505	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.495	0.505	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.495	0.505	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.494	0.505	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.494	0.506	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.494	0.506	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.494	0.506	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.494	0.506	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.493	0.507	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.493	0.507	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.493	0.507	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.493	0.507	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.492	0.507	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.493	0.507	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.492	0.508	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.492	0.508	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.492	0.508	0.000
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.509	0.491
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.490	0.509	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.490	0.509	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.490	0.510	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.490	0.510	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.490	0.510	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.490	0.510	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.489	0.511	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.488	0.511	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.488	0.511	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.488	0.512	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.512	0.488
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.488	0.512	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.487	0.513	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.487	0.513	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.487	0.513	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.486	0.513	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.486	0.514	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.486	0.514	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.486	0.514	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.486	0.514	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.486	0.514	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.485	0.514	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.485	0.514	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.485	0.515	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

0.6768

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6399

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.1254

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9984

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9982

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9960

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9907

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9875

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9811

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9776

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9710

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9698

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9677

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9654

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9636

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9595

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9592

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9591

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9567

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9535

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9506

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9495

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9474

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9474

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9464

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9382

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9374

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9341

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9284

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9266

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9265

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9114

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9099

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9030

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9027

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8922

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8866

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8715

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8697

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8695

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8690

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8646

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8610

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8597

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8516

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8494

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8481

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8457

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8434

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8380

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8377

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8370

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8309

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8265

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8254

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8251

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8162

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8120

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8030

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8023

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7881

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7841

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7689

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7606

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7578

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7493

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7361

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7353

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7346

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7295

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7230

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7225

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7107

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7092

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7011

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7010

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6991

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6908

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6899

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6878

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6809

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6765

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6762

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6701

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6680

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6679

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6644

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6577

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6567

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6485

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6193

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6033

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5992

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5924

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5908

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5841

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5773

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5589

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5576

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5455

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5437

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5428

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5222

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5201

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5173

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4914

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4643

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4474

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4422

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4206

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3954

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3945

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3893

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3775

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3721

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3719

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3598

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3349

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3324

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3314

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3244

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3059

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2897

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2726

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2585

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2462

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2248

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2207

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2199

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1888

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1851

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1848

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1825

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1765

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1748

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1736

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1694

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1575

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1549

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1286

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1240

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1014

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0993

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0882

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0786

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0777

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0755

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0752

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0689

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0666

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0665

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0652

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0648

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0644

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0591

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0572

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0539

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0529

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`)