TreeWAS – [Z46.2] Fitting and adjustment of other devices related to nervous system and special senses

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
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.855	0.145	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.844	0.156	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.839	0.161	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.812	0.188	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.811	0.189	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.789	0.211	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.787	0.213	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.785	0.215	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.784	0.216	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.783	0.217	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.777	0.222	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.777	0.223	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.773	0.227	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.769	0.231	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.768	0.232	0.000
rs74765593 lBF = `18.3408` Chr`3` : `182,339,787`	0.767	0.233	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.763	0.237	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.753	0.247	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.751	0.249	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.748	0.252	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.746	0.254	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.744	0.256	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.742	0.258	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.742	0.258	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.740	0.260	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.740	0.260	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.736	0.264	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.735	0.265	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.734	0.266	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.733	0.267	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.727	0.273	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.718	0.282	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.718	0.282	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.716	0.284	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.713	0.287	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.711	0.289	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.710	0.290	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.708	0.291	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.707	0.293	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.706	0.294	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.703	0.297	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.701	0.299	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.700	0.300	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.700	0.300	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.698	0.302	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.698	0.302	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.698	0.302	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.696	0.304	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.695	0.304	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.695	0.305	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.693	0.307	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.693	0.307	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.693	0.307	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.691	0.309	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.689	0.311	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.689	0.311	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.688	0.311	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.688	0.312	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.685	0.315	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.685	0.315	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.684	0.316	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.684	0.316	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.683	0.317	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.682	0.318	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.681	0.319	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.681	0.319	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.679	0.321	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.679	0.321	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.678	0.321	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.677	0.322	0.000
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
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.676	0.324	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.674	0.326	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.674	0.326	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	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
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.670	0.330	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.670	0.330	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.668	0.332	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.668	0.332	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.668	0.332	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	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
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.665	0.334	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.664	0.336	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.663	0.336	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.663	0.336	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.663	0.337	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.663	0.337	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.658	0.341	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.343	0.656
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.656	0.344	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.656	0.344	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.655	0.344	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.655	0.345	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.655	0.345	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.345	0.655
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.654	0.346	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.654	0.346	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.654	0.346	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.653	0.347	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.653	0.347	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.653	0.347	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.653	0.347	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.652	0.348	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.649	0.351	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.649	0.351	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.649	0.351	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.648	0.351	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.647	0.353	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.647	0.353	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.646	0.354	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.646	0.354	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.646	0.354	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.644	0.356	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.643	0.357	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.642	0.358	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.641	0.359	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.641	0.359	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.641	0.359	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.641	0.359	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.640	0.360	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.639	0.361	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.638	0.362	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.636	0.364	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.636	0.364	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.636	0.364	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
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.634	0.366	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.633	0.367	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.633	0.367	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.632	0.368	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
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.631	0.369	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.631	0.369	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.630	0.370	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.630	0.370	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.629	0.371	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.626	0.374	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.625	0.374	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.625	0.375	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.625	0.375	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.623	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
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.622	0.377	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.622	0.378	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.622	0.378	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
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.619	0.381	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.618	0.381	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.618	0.382	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.618	0.382	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.618	0.382	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.618	0.382	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	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
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.615	0.385	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	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
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.611	0.388	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.611	0.389	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.611	0.389	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	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
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.610	0.390	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.609	0.390	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.609	0.391	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	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
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.607	0.393	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.607	0.393	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.606	0.394	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.606	0.394	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.605	0.395	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.604	0.396	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.604	0.396	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.604	0.396	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.604	0.396	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.602	0.398	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.602	0.398	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.601	0.399	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.601	0.399	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.600	0.400	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.599	0.401	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.598	0.402	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.597	0.403	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.597	0.403	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.597	0.403	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.596	0.404	0.000
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rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.503	0.497	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.503	0.497	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.502	0.498	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.501	0.498	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.501	0.499	0.000
rs73176713 lBF = `14.4642` Chr`3` : `174,685,918`	0.501	0.499	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
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.501	0.499	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.500	0.500	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.499	0.501	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.499	0.501	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.499	0.501	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.499	0.501	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.499	0.501	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	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
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.497	0.503	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.497	0.503	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.496	0.503	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.496	0.504	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.495	0.505	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.495	0.505	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.494	0.505	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.494	0.506	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.494	0.506	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.494	0.506	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.494	0.506	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.494	0.506	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.494	0.506	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.494	0.506	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.494	0.506	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.493	0.507	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.493	0.507	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.493	0.507	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	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
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
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.492	0.508	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.492	0.508	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.491	0.509	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.490	0.509	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.490	0.510	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.490	0.510	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.490	0.510	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.490	0.510	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.490	0.510	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.490	0.510	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.490	0.510	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.511	0.489
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.489	0.511	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.488	0.511	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.488	0.512	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.488	0.512	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	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
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.486	0.514	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.486	0.514	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.486	0.514	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.485	0.514	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.485	0.515	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.484	0.515	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.484	0.515	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.484	0.516	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.484	0.516	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.484	0.516	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.484	0.516	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.483	0.517	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.483	0.517	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.482	0.517	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.482	0.518	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.482	0.518	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.480	0.520	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.479	0.520	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.478	0.521	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.478	0.521	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.478	0.521	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.478	0.522	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.478	0.522	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.477	0.522	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.477	0.523	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.477	0.523	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.477	0.523	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.477	0.523	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.476	0.524	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.476	0.524	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.475	0.525	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.475	0.525	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.475	0.525	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.475	0.525	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.474	0.525	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.474	0.526	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

0.6549

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6126

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9982

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9949

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9937

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9823

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9704

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9699

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9608

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9593

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9589

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9580

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9558

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9529

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9453

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9426

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9405

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9372

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9370

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9365

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9334

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9277

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9244

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9236

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9223

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9222

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9000

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8974

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8920

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8912

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8908

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8871

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8868

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8854

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8735

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8720

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8673

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8609

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8594

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8533

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8408

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8393

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8389

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8361

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8350

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8321

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8269

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8258

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8231

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8175

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8014

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7999

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7986

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7978

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7864

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7850

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7836

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7815

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7808

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7765

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7739

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7725

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7649

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7610

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7571

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7519

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7475

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7462

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7461

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7459

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7454

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7448

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7418

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7349

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7332

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7323

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7230

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7203

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7146

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7102

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7077

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6980

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6905

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6904

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6844

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6839

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6727

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6516

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6494

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6387

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6331

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6252

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6235

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6173

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6141

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6126

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6065

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6008

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5991

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5900

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5859

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5619

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5434

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5395

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5305

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5227

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5216

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5206

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5123

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4851

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4784

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4688

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4614

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4532

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4472

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4445

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4422

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4240

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3902

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3897

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3466

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3323

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3301

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3292

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3250

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3212

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3196

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3111

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3107

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3101

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3044

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2779

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2531

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2468

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2294

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2137

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2047

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1888

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1809

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1712

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1656

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1601

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1600

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1533

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1529

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1417

Cluster X0311

log Bayes Factor = 92.5358

contains 5 variants

0.1348

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1275

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1274

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1123

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1000

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0972

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0960

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0862

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0739

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0715

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0645

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0643

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0633

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0533

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`)