TreeWAS – [H94] Other disorders of ear in diseases classified elsewhere

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

H94

Other disorders of ear in diseases classified elsewhere

Parent term	H90-H95 Other disorders of ear
Nested terms	H94.0 Acoustic neuritis in infectious and parasitic diseases classified elsewhere H94.8 Other specified disorders of ear in diseases classified elsewhere

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Variant effects

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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
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.717	0.283	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.716	0.283	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.716	0.284	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.715	0.284	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.715	0.285	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.714	0.286	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.713	0.286	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.713	0.287	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.713	0.287	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.713	0.287	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.712	0.288	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.712	0.288	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.712	0.288	0.000
rs116043458 lBF = `29.8674` Chr`6` : `31,716,436`	0.712	0.288	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.712	0.288	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.711	0.289	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.711	0.289	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.710	0.290	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.710	0.290	0.000
rs62263033 lBF = `4.70416` Chr`3` : `48,370,424`	0.710	0.290	0.000
rs3817964 lBF = `26.9743` Chr`6` : `32,367,997`	0.710	0.290	0.000
rs62262721 lBF = `9.29228` Chr`3` : `49,768,927`	0.710	0.290	0.000
rs4963128 lBF = `5.17931` Chr`11` : `589,564`	0.710	0.290	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.709	0.290	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.709	0.291	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.709	0.291	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.709	0.291	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.709	0.291	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.709	0.291	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.709	0.291	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.709	0.291	0.000
rs9268500 lBF = `35.1497` Chr`6` : `32,376,517`	0.709	0.291	0.000
rs79987207 lBF = `5.41608` Chr`9` : `100,963,977`	0.708	0.291	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.708	0.292	0.000
rs17396340 lBF = `2.20479` Chr`1` : `10,286,176`	0.708	0.292	0.000
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.708	0.292	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.707	0.293	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.707	0.293	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.706	0.294	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.706	0.294	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.706	0.294	0.000
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.706	0.294	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.706	0.294	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.705	0.295	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.705	0.295	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.705	0.295	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.705	0.295	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.704	0.295	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.704	0.295	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.704	0.296	0.000
rs12143060 lBF = `7.38686` Chr`1` : `156,740,026`	0.704	0.296	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.704	0.296	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.704	0.296	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.704	0.296	0.000
rs3763305 lBF = `35.2118` Chr`6` : `32,369,488`	0.704	0.296	0.000
rs35221806 lBF = `7.30552` Chr`7` : `7,350,418`	0.703	0.297	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.703	0.297	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.703	0.297	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.702	0.298	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.702	0.298	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.702	0.298	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.701	0.299	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.701	0.299	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.701	0.299	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.701	0.299	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.700	0.300	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.700	0.300	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.699	0.300	0.000
rs2050188 lBF = `209.683` Chr`6` : `32,339,897`	0.000	0.301	0.699
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.699	0.301	0.000
rs2524084 lBF = `215.728` Chr`6` : `31,241,639`	0.699	0.301	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.699	0.301	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.698	0.301	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.698	0.302	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.698	0.302	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.698	0.302	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.698	0.302	0.000
rs9380254 lBF = `46.9536` Chr`6` : `31,378,335`	0.698	0.302	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.698	0.302	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.698	0.302	0.000
rs12195582 lBF = `218.62` Chr`6` : `32,444,544`	0.697	0.302	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.697	0.302	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.697	0.303	0.000
rs2524279 lBF = `47.995` Chr`6` : `31,392,906`	0.697	0.303	0.000
rs7940423 lBF = `2.47688` Chr`11` : `11,504,228`	0.697	0.303	0.000
rs2290161 lBF = `15.2998` Chr`3` : `12,633,168`	0.696	0.303	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.696	0.304	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.696	0.304	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.696	0.304	0.000
rs114425738 lBF = `14.7301` Chr`1` : `92,171,673`	0.696	0.304	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.696	0.304	0.000
rs2516415 lBF = `215.848` Chr`6` : `31,459,742`	0.695	0.304	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.695	0.305	0.000
rs2263323 lBF = `51.4038` Chr`6` : `31,401,466`	0.695	0.305	0.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	0.695	0.305	0.000
rs2596466 lBF = `50.0976` Chr`6` : `31,405,617`	0.694	0.306	0.000
rs2523684 lBF = `49.8794` Chr`6` : `31,426,399`	0.694	0.306	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.693	0.307	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.693	0.307	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.693	0.307	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.692	0.307	0.000
rs2524280 lBF = `49.9065` Chr`6` : `31,416,990`	0.692	0.308	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.692	0.308	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.692	0.308	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.692	0.308	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.692	0.308	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.692	0.308	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.691	0.309	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.691	0.309	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.691	0.309	0.000
rs3763288 lBF = `52.2845` Chr`6` : `31,370,367`	0.691	0.309	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.691	0.309	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.690	0.310	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.690	0.310	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.690	0.310	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.690	0.310	0.000
rs114773198 lBF = `13.1882` Chr`5` : `133,618,799`	0.689	0.311	0.000
rs9378249 lBF = `48.8892` Chr`6` : `31,327,701`	0.689	0.311	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.689	0.311	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.689	0.311	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.689	0.311	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.689	0.311	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.689	0.311	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.689	0.311	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.689	0.311	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.688	0.312	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.688	0.312	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.688	0.312	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.688	0.312	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.688	0.312	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.688	0.312	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.688	0.312	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.687	0.312	0.000
rs75617879 lBF = `7.44483` Chr`6` : `2,197,935`	0.687	0.313	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.687	0.313	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.686	0.313	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.686	0.314	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.686	0.314	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.686	0.314	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.686	0.314	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.686	0.314	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.686	0.314	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.686	0.314	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.685	0.315	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.685	0.315	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.685	0.315	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.685	0.315	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.685	0.315	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.684	0.316	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.684	0.316	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.684	0.316	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.684	0.316	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.684	0.316	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.683	0.317	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.683	0.317	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.683	0.317	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.683	0.317	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.683	0.317	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.682	0.318	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.682	0.318	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.682	0.318	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.682	0.318	0.000
rs1265096 lBF = `29.8459` Chr`6` : `31,106,489`	0.681	0.319	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.681	0.319	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.681	0.319	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.681	0.319	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.680	0.319	0.000
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.680	0.320	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.680	0.320	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.680	0.320	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.680	0.320	0.000
rs77135516 lBF = `13.8756` Chr`1` : `229,994,958`	0.679	0.321	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.679	0.321	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.679	0.321	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.678	0.321	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.678	0.322	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.678	0.322	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.678	0.322	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.677	0.322	0.000
rs140009341 lBF = `2.92393` Chr`2` : `137,190,884`	0.677	0.323	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.677	0.323	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.677	0.323	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.677	0.323	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.677	0.323	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.676	0.323	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.676	0.323	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.676	0.323	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.676	0.323	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.676	0.324	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.676	0.324	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.675	0.324	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	0.675	0.325	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.675	0.325	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.675	0.325	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.675	0.325	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.675	0.325	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.674	0.325	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.674	0.325	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.674	0.326	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.674	0.326	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.674	0.326	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.674	0.326	0.000
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rs115445154 lBF = `14.8843` Chr`1` : `81,921,812`	0.673	0.327	0.000
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rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.672	0.327	0.000
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rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.672	0.328	0.000
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rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.670	0.330	0.000
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rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.670	0.330	0.000
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rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.670	0.330	0.000
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rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.669	0.331	0.000
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rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.669	0.331	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.669	0.331	0.000
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rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.669	0.331	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.669	0.331	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.669	0.331	0.000
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rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.668	0.332	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.668	0.332	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.668	0.332	0.000
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Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	0.665	0.335	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.665	0.335	0.000
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rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.662	0.337	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.662	0.338	0.000
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rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.661	0.339	0.000
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rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.656	0.344	0.000
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rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.635	0.365	0.000
Affx-28458228 lBF = `241.371` Chr`6` : `31,474,000`	0.635	0.365	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.634	0.365	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.634	0.365	0.000
rs79436609 lBF = `1.9732` Chr`3` : `140,417,446`	0.634	0.366	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.634	0.366	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.634	0.366	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.633	0.366	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.633	0.367	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.633	0.367	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.633	0.367	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.633	0.367	0.000
rs36000907 lBF = `5.41451` Chr`5` : `45,183,148`	0.632	0.367	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.632	0.368	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.632	0.368	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.632	0.368	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.632	0.368	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.632	0.368	0.000
rs2248459 lBF = `243.979` Chr`6` : `31,446,710`	0.632	0.368	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.631	0.369	0.000
rs9275312 lBF = `293.704` Chr`6` : `32,665,728`	0.631	0.369	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.631	0.369	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.631	0.369	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.630	0.369	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.630	0.369	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.630	0.370	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.630	0.370	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.630	0.370	0.000
rs115083581 lBF = `14.4282` Chr`1` : `36,376,992`	0.630	0.370	0.000
rs2516424 lBF = `237.207` Chr`6` : `31,448,315`	0.630	0.370	0.000
rs6923504 lBF = `250.735` Chr`6` : `32,428,186`	0.000	0.370	0.630
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.630	0.370	0.000
rs2844502 lBF = `237.343` Chr`6` : `31,445,216`	0.629	0.371	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.629	0.371	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.629	0.371	0.000
rs6903608 lBF = `251.273` Chr`6` : `32,428,285`	0.000	0.371	0.629
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.629	0.371	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.629	0.371	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.629	0.371	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.629	0.371	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.628	0.371	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.628	0.372	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.628	0.372	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.628	0.372	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.628	0.372	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.627	0.372	0.000
rs2248617 lBF = `240.029` Chr`6` : `31,448,533`	0.627	0.373	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.627	0.373	0.000
rs6953213 lBF = `1.55719` Chr`7` : `7,313,485`	0.627	0.373	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.627	0.373	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.627	0.373	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.626	0.373	0.000
rs1265103 lBF = `20.4044` Chr`6` : `31,100,978`	0.626	0.374	0.000
Affx-28459705 lBF = `94.4448` Chr`6` : `31,555,130`	0.000	0.374	0.626
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.626	0.374	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.626	0.374	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.626	0.374	0.000
rs112971323 lBF = `15.7014` Chr`11` : `111,697,513`	0.625	0.374	0.000
rs2248613 lBF = `238.537` Chr`6` : `31,448,432`	0.625	0.375	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.625	0.375	0.000
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	0.625	0.375	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.624	0.376	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.624	0.376	0.000
rs2009658 lBF = `34.5004` Chr`6` : `31,538,244`	0.623	0.377	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.623	0.377	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.623	0.377	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.623	0.377	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.623	0.377	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.623	0.377	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.623	0.377	0.000
rs2395488 lBF = `236.699` Chr`6` : `31,445,909`	0.622	0.377	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.622	0.377	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.622	0.377	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	0.622	0.378	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.622	0.378	0.000
rs9273489 lBF = `297.232` Chr`6` : `32,628,189`	0.622	0.378	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.622	0.378	0.000
rs2243429 lBF = `238.954` Chr`6` : `31,446,820`	0.622	0.378	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.622	0.378	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.622	0.378	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.621	0.379	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.620	0.380	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.620	0.380	0.000
rs62389424 lBF = `141.95` Chr`6` : `422,631`	0.620	0.380	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.620	0.380	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.620	0.380	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.619	0.380	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.619	0.381	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.619	0.381	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.619	0.381	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.619	0.381	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.619	0.381	0.000
rs2516412 lBF = `240.991` Chr`6` : `31,462,321`	0.619	0.381	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.619	0.381	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.618	0.381	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.618	0.382	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.618	0.382	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

0.1196

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7169

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7169

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7169

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7169

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7169

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7169

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7169

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7168

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7168

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7167

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7167

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7167

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7167

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7166

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7166

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7165

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7165

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7165

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7163

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7162

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7161

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7161

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7161

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7160

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7158

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7157

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7157

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7155

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7155

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7154

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7153

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7151

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7151

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7150

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7149

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7147

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7145

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7144

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7143

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7139

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7136

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7136

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7132

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7128

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7127

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7124

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7122

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7122

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7121

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7115

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7111

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7109

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7106

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7104

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7100

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7092

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7085

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7085

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7080

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7077

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7076

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7063

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.7061

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7058

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7056

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7053

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7047

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7042

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7042

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7035

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7031

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6998

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6995

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6994

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6993

Cluster X0251

log Bayes Factor = 16.792

contains 2 variants

0.6985

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6983

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6982

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6977

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6970

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6968

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6961

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6947

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6904

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6901

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6875

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6860

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6827

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6818

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6800

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6799

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6742

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.6730

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6718

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6718

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6710

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6702

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6688

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6658

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6619

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6605

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6597

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6596

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6588

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6567

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6547

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6531

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6526

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6422

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6309

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6304

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6290

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6286

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6278

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6276

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6252

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6239

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6218

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6182

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6169

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6139

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6112

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6084

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6070

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6049

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6041

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6033

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6020

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5981

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5948

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5899

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5840

Cluster X0329

log Bayes Factor = 21.7039

contains 2 variants

0.5827

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5798

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5650

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5613

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5610

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5395

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5389

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5375

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5240

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5166

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5149

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5142

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5110

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5057

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4874

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4871

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4865

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4834

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4720

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4605

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4594

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4591

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4585

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4579

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4522

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4493

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.4476

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4313

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4305

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4256

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4021

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3751

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3652

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3610

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3456

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3427

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3202

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3198

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3147

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2995

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2937

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.2930

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2714

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2600

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2600

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2510

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2428

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2213

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2160

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1818

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1645

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1295

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1212

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1175

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1126

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1112

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1065

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1036

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0967

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0942

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0724

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0704

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.0639

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0588

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0542

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0517

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)

Hospitalization Episode Statistics (`HES`)