TreeWAS – [B27.1] Cytomegaloviral mononucleosis

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
rs2247056 lBF = `238.619` Chr`6` : `31,265,490`	0.607	0.393	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.595	0.405	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.594	0.406	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.582	0.418	0.000
rs6457374 lBF = `249.684` Chr`6` : `31,272,261`	0.581	0.419	0.000
rs2395106 lBF = `54.9559` Chr`6` : `32,193,220`	0.000	0.420	0.580
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.580	0.420	0.000
rs9267845 lBF = `54.0602` Chr`6` : `32,193,698`	0.000	0.420	0.580
rs3096691 lBF = `52.4329` Chr`6` : `32,194,854`	0.000	0.421	0.579
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.578	0.422	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.576	0.424	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.572	0.428	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.570	0.430	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.566	0.433	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.562	0.438	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.560	0.439	0.000
rs2524054 lBF = `252.073` Chr`6` : `31,252,396`	0.000	0.441	0.559
rs3094204 lBF = `80.1018` Chr`6` : `31,091,992`	0.550	0.450	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.549	0.451	0.000
rs2524074 lBF = `235.669` Chr`6` : `31,244,021`	0.537	0.463	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.535	0.465	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.465	0.534
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.532	0.467	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.530	0.470	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.524	0.476	0.000
rs1130838 lBF = `200.175` Chr`6` : `31,237,124`	0.520	0.480	0.000
rs72880536 lBF = `13.1874` Chr`6` : `33,752,386`	0.517	0.483	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.516	0.483	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.516	0.484	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.515	0.485	0.000
rs9264643 lBF = `205.849` Chr`6` : `31,238,492`	0.514	0.485	0.000
rs410851 lBF = `239.5` Chr`6` : `31,936,668`	0.511	0.489	0.000
rs389883 lBF = `240.061` Chr`6` : `31,947,460`	0.510	0.489	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.509	0.491	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.507	0.492	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.507	0.493	0.000
rs437179 lBF = `234.386` Chr`6` : `31,929,014`	0.506	0.493	0.000
rs419788 lBF = `237.889` Chr`6` : `31,928,799`	0.506	0.494	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.506	0.494	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.505	0.495	0.000
rs12222221 lBF = `8.0928` Chr`11` : `49,488,707`	0.504	0.496	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.504	0.496	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.503	0.497	0.000
rs440454 lBF = `233.155` Chr`6` : `31,927,342`	0.503	0.497	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.502	0.498	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.501	0.498	0.000
rs78748841 lBF = `14.8242` Chr`6` : `24,978,873`	0.501	0.499	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.501	0.499	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.501	0.499	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.500	0.500	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.500	0.500	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.499	0.501	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.499	0.501	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.498	0.501	0.000
rs9368666 lBF = `20.5229` Chr`6` : `31,229,644`	0.498	0.502	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.497	0.502	0.000
rs375244 lBF = `19.087` Chr`6` : `32,191,457`	0.000	0.503	0.497
rs2516472 lBF = `23.2465` Chr`6` : `31,394,700`	0.000	0.503	0.497
rs630379 lBF = `243.642` Chr`6` : `31,922,254`	0.496	0.504	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.495	0.505	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.505	0.494
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.494	0.505	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.494	0.505	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.494	0.505	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.493	0.507	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.493	0.507	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.492	0.507	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.492	0.507	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.492	0.508	0.000
rs2844586 lBF = `11.7203` Chr`6` : `31,318,024`	0.000	0.508	0.492
rs2596457 lBF = `23.1597` Chr`6` : `31,418,022`	0.000	0.509	0.491
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.491	0.509	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.491	0.509	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.491	0.509	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.490	0.510	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.490	0.510	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.490	0.510	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.490	0.510	0.000
rs17207085 lBF = `16.5272` Chr`6` : `31,503,552`	0.490	0.510	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.490	0.510	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.489	0.511	0.000
rs2596460 lBF = `22.7176` Chr`6` : `31,417,510`	0.000	0.511	0.489
rs2596480 lBF = `21.5933` Chr`6` : `31,425,985`	0.000	0.511	0.489
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.488	0.511	0.000
rs2523536 lBF = `10.2024` Chr`6` : `31,336,000`	0.000	0.512	0.487
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.487	0.513	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.487	0.513	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.487	0.513	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.485	0.514	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.484	0.515	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.484	0.515	0.000
rs2844520 lBF = `24.6949` Chr`6` : `31,407,758`	0.000	0.516	0.484
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.484	0.516	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.484	0.516	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.483	0.517	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.483	0.517	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.483	0.517	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.483	0.517	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.482	0.517	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.482	0.518	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.482	0.518	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.482	0.518	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.482	0.518	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.482	0.518	0.000
rs9295990 lBF = `22.3458` Chr`6` : `31,386,019`	0.000	0.518	0.482
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.481	0.518	0.000
rs486416 lBF = `185.353` Chr`6` : `31,856,070`	0.481	0.519	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.481	0.519	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.481	0.519	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.481	0.519	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.481	0.519	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.480	0.519	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.480	0.520	0.000
rs115623520 lBF = `16.5137` Chr`6` : `31,518,433`	0.479	0.520	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.479	0.521	0.000
rs2596574 lBF = `9.8013` Chr`6` : `31,334,174`	0.000	0.521	0.479
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.479	0.521	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.479	0.521	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.478	0.521	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.478	0.522	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.478	0.522	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.478	0.522	0.000
rs17200740 lBF = `15.7847` Chr`6` : `31,535,539`	0.477	0.522	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.477	0.522	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.477	0.522	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.477	0.523	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.477	0.523	0.000
rs2523626 lBF = `9.20658` Chr`6` : `31,346,490`	0.000	0.523	0.476
rs2523632 lBF = `9.64388` Chr`6` : `31,345,844`	0.000	0.524	0.476
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.476	0.524	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.475	0.524	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.475	0.524	0.000
rs2523547 lBF = `9.408` Chr`6` : `31,350,154`	0.000	0.525	0.475
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.475	0.525	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.475	0.525	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.475	0.525	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.474	0.525	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.474	0.526	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.474	0.526	0.000
rs2523639 lBF = `9.40579` Chr`6` : `31,344,098`	0.000	0.526	0.474
rs116157207 lBF = `16.4805` Chr`6` : `31,518,764`	0.473	0.527	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.473	0.527	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.473	0.527	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.473	0.527	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.473	0.527	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.472	0.527	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.472	0.527	0.000
rs16899524 lBF = `9.04837` Chr`6` : `31,362,310`	0.000	0.528	0.472
rs605203 lBF = `185.516` Chr`6` : `31,847,012`	0.472	0.528	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.472	0.528	0.000
rs521977 lBF = `212.79` Chr`6` : `31,836,827`	0.472	0.528	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.471	0.528	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.471	0.529	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.471	0.529	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.471	0.529	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.470	0.530	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.470	0.530	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.470	0.530	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.470	0.530	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.469	0.530	0.000
rs2894186 lBF = `140.497` Chr`6` : `31,206,868`	0.469	0.530	0.000
rs72806553 lBF = `14.1309` Chr`10` : `60,830,263`	0.469	0.531	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.469	0.531	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.469	0.531	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.469	0.531	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.469	0.531	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.468	0.531	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.468	0.531	0.000
rs2523476 lBF = `8.49322` Chr`6` : `31,361,424`	0.000	0.531	0.468
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.468	0.531	0.000
rs2857281 lBF = `9.00838` Chr`6` : `31,374,262`	0.000	0.532	0.468
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.468	0.532	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.467	0.532	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.467	0.532	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.467	0.533	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.467	0.533	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.467	0.533	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.467	0.533	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.467	0.533	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.467	0.533	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.467	0.533	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.466	0.533	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.466	0.533	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.466	0.534	0.000
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.466	0.534	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.465	0.534	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.465	0.534	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.465	0.535	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.465	0.535	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.465	0.535	0.000
rs2507980 lBF = `9.70002` Chr`6` : `31,347,877`	0.000	0.535	0.465
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.464	0.536	0.000
rs9263980 lBF = `154.685` Chr`6` : `31,188,397`	0.464	0.536	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.464	0.536	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.464	0.536	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.464	0.536	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.463	0.537	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.463	0.537	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.463	0.537	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.462	0.538	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.462	0.538	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.462	0.538	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.462	0.538	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.461	0.538	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.461	0.539	0.000
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rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.435	0.565	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.435	0.565	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.435	0.565	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.435	0.565	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.435	0.565	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.435	0.565	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.435	0.565	0.000
rs2524163 lBF = `155.398` Chr`6` : `31,259,579`	0.435	0.565	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.434	0.565	0.000
rs3094629 lBF = `234.049` Chr`6` : `30,232,953`	0.434	0.565	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.434	0.565	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.434	0.566	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.434	0.566	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.434	0.566	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.434	0.566	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.434	0.566	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.434	0.566	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.434	0.566	0.000
rs28367594 lBF = `12.4581` Chr`6` : `31,258,141`	0.000	0.566	0.434
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.434	0.566	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.434	0.566	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.433	0.566	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.433	0.566	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.433	0.566	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.433	0.566	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.433	0.566	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.433	0.566	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.433	0.567	0.000
rs72907101 lBF = `19.7619` Chr`6` : `82,161,751`	0.433	0.567	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.433	0.567	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.433	0.567	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.433	0.567	0.000
rs1235162 lBF = `240.328` Chr`6` : `29,537,224`	0.433	0.567	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.432	0.567	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.432	0.568	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.432	0.568	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.432	0.568	0.000
rs6916278 lBF = `25.9034` Chr`6` : `31,678,774`	0.000	0.568	0.432
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.432	0.568	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.432	0.568	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.432	0.568	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.432	0.568	0.000
rs3130685 lBF = `121.177` Chr`6` : `31,206,206`	0.432	0.568	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.432	0.568	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.432	0.568	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.432	0.568	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.432	0.568	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.432	0.568	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.431	0.568	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.431	0.568	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.431	0.569	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.431	0.569	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.431	0.569	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.431	0.569	0.000
rs1264350 lBF = `114.743` Chr`6` : `30,796,545`	0.431	0.569	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.431	0.569	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.431	0.569	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.431	0.569	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.431	0.569	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.430	0.569	0.000
rs73396800 lBF = `71.0876` Chr`6` : `32,914,726`	0.430	0.570	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.430	0.570	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.430	0.570	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.430	0.570	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.430	0.570	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.430	0.570	0.000
rs1233493 lBF = `223.835` Chr`6` : `29,458,241`	0.430	0.570	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.429	0.570	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.429	0.570	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.429	0.570	0.000
rs2243868 lBF = `154.689` Chr`6` : `31,261,276`	0.429	0.571	0.000
rs743400 lBF = `25.5334` Chr`6` : `31,607,111`	0.000	0.571	0.429
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.429	0.571	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.429	0.571	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.429	0.571	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.429	0.571	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.429	0.571	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.429	0.571	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.429	0.571	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.429	0.571	0.000
rs2523986 lBF = `233.642` Chr`6` : `30,081,246`	0.429	0.571	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.428	0.571	0.000
rs2523587 lBF = `217.283` Chr`6` : `31,327,400`	0.428	0.572	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.428	0.572	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.428	0.572	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.428	0.572	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.428	0.572	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.428	0.572	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.428	0.572	0.000
rs78489084 lBF = `16.6721` Chr`3` : `132,240,307`	0.428	0.572	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.428	0.572	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.2854

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1627

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1588

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7071

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6903

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6792

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6773

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6680

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6539

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6502

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6480

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6422

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6217

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6062

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5900

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5893

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5890

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5823

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5816

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5766

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5716

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5656

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5629

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5597

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5559

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5514

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5498

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5373

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5361

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5357

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5342

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5337

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5318

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5285

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5281

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5258

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5224

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5140

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5137

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5135

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5133

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5129

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5128

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5125

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5118

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5117

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5116

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5113

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5103

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5067

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4999

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4995

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4980

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4977

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4958

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4950

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4950

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4889

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.4883

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4871

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4840

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4834

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4809

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4787

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4767

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4750

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4746

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.4696

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4695

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4682

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4674

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4650

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4638

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4613

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4602

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4591

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4589

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4564

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4564

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4558

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4540

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4501

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4482

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4481

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4453

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4425

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4409

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4396

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4351

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4323

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4278

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4275

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4274

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4261

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4245

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4208

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4197

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4195

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4184

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4167

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4146

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4132

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4121

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4119

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4114

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4113

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4100

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4100

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4065

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4053

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4047

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4018

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4006

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4000

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3991

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3986

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3985

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3963

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3960

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3936

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3911

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3876

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3858

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3854

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3842

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3836

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3818

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3812

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3794

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3772

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3759

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3752

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3737

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3712

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3707

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3705

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3698

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3698

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3687

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3678

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3669

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3654

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3639

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3596

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3589

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3560

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3559

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3553

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3535

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3509

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3509

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3509

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3462

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3449

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3438

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3437

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3432

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.3430

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3424

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3418

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3413

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3394

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3393

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3390

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3381

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3379

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3320

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3303

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3280

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3259

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3256

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3244

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3243

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3240

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3239

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3205

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3186

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3149

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3145

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3098

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3085

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3079

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3062

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2983

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2958

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2954

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2903

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2892

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2889

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2885

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2885

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2873

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2871

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2863

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2853

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2852

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2849

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2841

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2839

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2764

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2753

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2751

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2726

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2725

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.2642

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2585

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2545

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2264

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2109

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2071

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1492

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.1209

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0981

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0857

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0746

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0738

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.0711

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0509

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`)