TreeWAS – [Z82.2] Family history of deafness and hearing loss

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
rs9469913 lBF = `16.491` Chr`6` : `34,827,085`	0.784	0.216	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.779	0.221	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.778	0.221	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.762	0.238	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.740	0.260	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.740	0.260	0.000
rs74617384 lBF = `405.131` Chr`6` : `160,997,118`	0.723	0.276	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.717	0.283	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.717	0.283	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.717	0.283	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.717	0.283	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.717	0.283	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.717	0.283	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.717	0.283	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.717	0.283	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.717	0.283	0.000
rs55754459 lBF = `43.0914` Chr`6` : `161,551,176`	0.717	0.283	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.717	0.283	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.716	0.283	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.716	0.283	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.716	0.284	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.716	0.284	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.715	0.284	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.715	0.285	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.715	0.285	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.715	0.285	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.714	0.286	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.714	0.286	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.714	0.286	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.713	0.287	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.713	0.287	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.712	0.288	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.712	0.288	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.711	0.289	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.711	0.289	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.710	0.290	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.708	0.291	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.708	0.292	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.708	0.292	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.708	0.292	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.707	0.293	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.706	0.293	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.706	0.294	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.706	0.294	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.705	0.295	0.000
rs11591147 lBF = `49.3655` Chr`1` : `55,505,647`	0.000	0.295	0.704
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.704	0.295	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.704	0.295	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.704	0.296	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.702	0.297	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.702	0.298	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.702	0.298	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.701	0.299	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.700	0.300	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.700	0.300	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.000	0.300	0.700
rs146534110 lBF = `28.6815` Chr`6` : `160,578,069`	0.700	0.300	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.700	0.300	0.000
rs62402485 lBF = `14.4447` Chr`6` : `21,913,817`	0.699	0.300	0.000
rs9356786 lBF = `15.2486` Chr`6` : `21,914,212`	0.699	0.301	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.698	0.302	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.698	0.302	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.698	0.302	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.696	0.303	0.000
rs62402484 lBF = `15.7618` Chr`6` : `21,913,816`	0.696	0.304	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.696	0.304	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.696	0.304	0.000
rs73050577 lBF = `29.1953` Chr`3` : `23,853,409`	0.695	0.305	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.695	0.305	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.693	0.307	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.692	0.307	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.692	0.307	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.691	0.309	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.690	0.310	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.690	0.310	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.689	0.311	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.688	0.312	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.687	0.313	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.687	0.313	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.685	0.315	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.685	0.315	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.684	0.316	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.683	0.316	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.683	0.317	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.682	0.317	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.682	0.318	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.681	0.318	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.681	0.319	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.680	0.320	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.680	0.320	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.680	0.320	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.679	0.321	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.679	0.321	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.678	0.321	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.678	0.322	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.677	0.323	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.677	0.323	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.677	0.323	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.675	0.325	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.674	0.325	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.673	0.327	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.669	0.331	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.669	0.331	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.668	0.332	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.666	0.333	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.666	0.334	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.666	0.334	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.666	0.334	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.666	0.334	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.666	0.334	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.665	0.334	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.665	0.335	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.664	0.335	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.663	0.336	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.663	0.337	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.662	0.338	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.662	0.338	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.661	0.338	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.661	0.339	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.659	0.341	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.658	0.341	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.657	0.343	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.657	0.343	0.000
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.657	0.343	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.656	0.343	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.656	0.344	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.656	0.344	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.656	0.344	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.654	0.346	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.653	0.347	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.653	0.347	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.653	0.347	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.653	0.347	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.652	0.348	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.652	0.348	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.651	0.349	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.649	0.351	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.648	0.352	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.647	0.352	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.647	0.353	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.645	0.355	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.644	0.355	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.644	0.356	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.643	0.357	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.643	0.357	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.642	0.358	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.641	0.359	0.000
rs148428208 lBF = `4.46774` Chr`1` : `185,566,551`	0.641	0.359	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.639	0.361	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.638	0.361	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.636	0.363	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.636	0.363	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.636	0.364	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.636	0.364	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.636	0.364	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.636	0.364	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.635	0.365	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.634	0.366	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.634	0.366	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.633	0.366	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.628	0.372	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.627	0.373	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.627	0.373	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.626	0.373	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.626	0.374	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.625	0.374	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.625	0.375	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.624	0.376	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.624	0.376	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.623	0.376	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.623	0.377	0.000
rs80123541 lBF = `17.2266` Chr`6` : `110,354,662`	0.622	0.378	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.622	0.378	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.622	0.378	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.622	0.378	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.619	0.380	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.619	0.380	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.619	0.381	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.619	0.381	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.618	0.381	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.618	0.382	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.618	0.382	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.618	0.382	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.615	0.385	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.615	0.385	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.613	0.387	0.000
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.612	0.387	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.612	0.387	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.612	0.387	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.612	0.388	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.612	0.388	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.611	0.388	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.611	0.389	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.611	0.389	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.609	0.391	0.000
rs10965215 lBF = `149.273` Chr`9` : `22,029,445`	0.608	0.392	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.608	0.392	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.607	0.393	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.607	0.393	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.606	0.394	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.605	0.395	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.395	0.605
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.604	0.395	0.000
rs115555031 lBF = `15.0191` Chr`1` : `240,726,984`	0.604	0.396	0.000
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rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.509	0.491	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.508	0.492	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.508	0.492	0.000
rs2445130 lBF = `3.88787` Chr`1` : `22,237,722`	0.507	0.493	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.507	0.493	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.506	0.493	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.506	0.494	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.506	0.494	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.505	0.495	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.505	0.495	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.504	0.496	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.504	0.496	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.503	0.497	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.503	0.497	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.503	0.497	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.503	0.497	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.502	0.498	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.502	0.498	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.502	0.498	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.501	0.498	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.501	0.499	0.000
rs16887604 lBF = `11.436` Chr`6` : `77,149,658`	0.501	0.499	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.501	0.499	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.500	0.500	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.500	0.500	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.499	0.500	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.499	0.501	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.498	0.501	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.497	0.503	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.496	0.504	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.496	0.504	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.496	0.504	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.496	0.504	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.495	0.505	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.494	0.506	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.493	0.507	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.493	0.507	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.493	0.507	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.492	0.508	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.492	0.508	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.491	0.509	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.491	0.509	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.490	0.510	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.490	0.510	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.490	0.510	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.489	0.511	0.000
rs116989098 lBF = `17.9744` Chr`6` : `161,777,500`	0.489	0.511	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.489	0.511	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.489	0.511	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.511	0.489
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.488	0.512	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.488	0.512	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.488	0.512	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.488	0.512	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.488	0.512	0.000
rs74899442 lBF = `9.66177` Chr`11` : `115,890,279`	0.487	0.512	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.486	0.513	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.486	0.513	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.486	0.514	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.486	0.514	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.485	0.515	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.485	0.515	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.483	0.517	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.483	0.517	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.483	0.517	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.482	0.518	0.000
rs74827573 lBF = `17.7572` Chr`10` : `60,156,602`	0.482	0.518	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.481	0.518	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.481	0.518	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.481	0.519	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.481	0.519	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.481	0.519	0.000
rs1443844 lBF = `35.8627` Chr`6` : `160,574,802`	0.000	0.519	0.481
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.480	0.519	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.480	0.520	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.480	0.520	0.000
rs11265263 lBF = `1.27203` Chr`1` : `159,710,517`	0.480	0.520	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.479	0.521	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.479	0.521	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.479	0.521	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.478	0.521	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.478	0.521	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.478	0.522	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.478	0.522	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.477	0.522	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.477	0.523	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.477	0.523	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.476	0.524	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.476	0.524	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.476	0.524	0.000
rs28582745 lBF = `2.00824` Chr`3` : `169,459,325`	0.476	0.524	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.476	0.524	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.475	0.524	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.475	0.525	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.475	0.525	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 X0199

log Bayes Factor = 350.038

contains 3 variants

0.5275

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3463

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2057

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1442

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8043

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7675

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7673

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7169

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7169

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7168

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7166

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7164

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7141

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7128

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7106

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7093

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7067

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7059

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7029

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7017

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7010

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7008

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6990

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6956

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6910

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6907

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6904

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6885

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6841

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6814

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6814

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6802

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6768

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6725

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6720

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6709

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6702

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6573

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6564

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6561

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6524

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6488

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6444

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6360

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6276

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6264

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6248

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6215

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6213

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6208

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6194

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6104

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6055

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6047

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6010

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5953

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5924

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5911

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5810

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5805

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5798

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5793

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5782

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5662

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5630

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5564

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5466

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5377

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.5310

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5308

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5108

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5096

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5084

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4953

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4920

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4910

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4883

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4861

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4854

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4838

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4836

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4624

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4508

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4481

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4461

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4458

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4361

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4301

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4182

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4168

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4145

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4068

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4047

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3941

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3909

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3869

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3722

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3607

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3602

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3572

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3565

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3552

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3541

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3475

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3418

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3361

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3330

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3091

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3077

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3021

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3004

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2901

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2833

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2779

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2762

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2694

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2607

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2469

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2304

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2170

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2106

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2041

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1931

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1853

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1734

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1661

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1622

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1511

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1380

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1363

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1356

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1288

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1253

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1188

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1072

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0757

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0749

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0730

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0715

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0552

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0502

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`)