TreeWAS – [O24.2] Pre-existing malnutrition-related diabetes mellitus

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
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.660	0.340	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.658	0.342	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.657	0.343	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.654	0.346	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.649	0.351	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.642	0.358	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.628	0.372	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.624	0.376	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.624	0.376	0.000
rs11952583 lBF = `2.33169` Chr`5` : `73,309,105`	0.621	0.378	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.615	0.385	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.614	0.385	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.613	0.387	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.613	0.387	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.613	0.387	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.610	0.389	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.610	0.390	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.608	0.392	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.601	0.398	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	0.400	0.600
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.595	0.404	0.000
rs7934606 lBF = `1.05686` Chr`11` : `1,093,945`	0.000	0.405	0.595
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.595	0.405	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.594	0.406	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.593	0.407	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.591	0.409	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.589	0.411	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.587	0.413	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.586	0.413	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.586	0.414	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.585	0.415	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.583	0.417	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.582	0.418	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.581	0.418	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.581	0.419	0.000
rs72660956 lBF = `14.4052` Chr`1` : `25,800,018`	0.579	0.421	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.578	0.422	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.578	0.422	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.576	0.424	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.576	0.424	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.575	0.425	0.000
rs3850579 lBF = `2.85178` Chr`5` : `141,864,373`	0.000	0.426	0.574
rs72687906 lBF = `23.6881` Chr`1` : `113,922,269`	0.573	0.427	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.570	0.430	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.567	0.433	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.566	0.434	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.565	0.434	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.565	0.435	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.564	0.436	0.000
rs4418214 lBF = `126.263` Chr`6` : `31,391,401`	0.562	0.438	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.561	0.439	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.560	0.440	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.559	0.441	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.558	0.442	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.557	0.443	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.556	0.444	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.556	0.444	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.556	0.444	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.555	0.445	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.554	0.446	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.554	0.446	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.552	0.448	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.551	0.448	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.551	0.449	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.551	0.449	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.551	0.449	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.551	0.449	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.550	0.450	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.550	0.450	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.549	0.451	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.452	0.548
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.548	0.452	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.547	0.452	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.453	0.547
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.547	0.453	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.547	0.453	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.547	0.453	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.546	0.454	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.545	0.454	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.545	0.454	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.545	0.455	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.545	0.455	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.544	0.456	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.544	0.456	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.544	0.456	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.543	0.457	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.543	0.457	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.543	0.457	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.543	0.457	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.542	0.458	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.542	0.458	0.000
rs148411008 lBF = `1.32232` Chr`2` : `171,654,272`	0.542	0.458	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.541	0.459	0.000
rs74122470 lBF = `16.4357` Chr`1` : `158,740,990`	0.540	0.460	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.540	0.460	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.539	0.460	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.538	0.461	0.000
rs2290159 lBF = `1.06203` Chr`3` : `12,628,920`	0.000	0.462	0.538
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.537	0.463	0.000
rs72660929 lBF = `14.2227` Chr`1` : `25,743,428`	0.537	0.463	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.537	0.463	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.537	0.463	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.537	0.463	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.537	0.463	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.537	0.463	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.536	0.464	0.000
rs7521578 lBF = `17.1428` Chr`1` : `158,736,201`	0.536	0.464	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.536	0.464	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.536	0.464	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.535	0.464	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.535	0.465	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.535	0.465	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.535	0.465	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.533	0.467	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.533	0.467	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.533	0.467	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.533	0.467	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.532	0.468	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.531	0.468	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.531	0.469	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.530	0.469	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.530	0.470	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.530	0.470	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.529	0.470	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.528	0.472	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.528	0.472	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.527	0.472	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.527	0.473	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.527	0.473	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.527	0.473	0.000
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.527	0.473	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.526	0.474	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.526	0.474	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.525	0.475	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.525	0.475	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.524	0.475	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.524	0.476	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.524	0.476	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.523	0.476	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.523	0.477	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.523	0.477	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.520	0.479	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.520	0.480	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.519	0.480	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.519	0.480	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.519	0.481	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.519	0.481	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.517	0.483	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.516	0.484	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.515	0.485	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.515	0.485	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.515	0.485	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.514	0.485	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.514	0.485	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.514	0.486	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.514	0.486	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.513	0.487	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.512	0.487	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.512	0.487	0.000
rs12721025 lBF = `1.60152` Chr`11` : `116,706,047`	0.000	0.488	0.512
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.510	0.489	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.490	0.510
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.510	0.490	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.510	0.490	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.510	0.490	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.509	0.491	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.509	0.491	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.509	0.491	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.509	0.491	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.509	0.491	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.508	0.491	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.508	0.492	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.508	0.492	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.508	0.492	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.508	0.492	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.508	0.492	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.507	0.493	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.507	0.493	0.000
rs7964407 lBF = `0.858826` Chr`12` : `28,192,989`	0.000	0.493	0.507
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.507	0.493	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.507	0.493	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.507	0.493	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.507	0.493	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.506	0.493	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.506	0.494	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.506	0.494	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.506	0.494	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.506	0.494	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.506	0.494	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.505	0.494	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.505	0.495	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.505	0.495	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.505	0.495	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.505	0.495	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.505	0.495	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.504	0.496	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.504	0.496	0.000
rs13199772 lBF = `176.085` Chr`6` : `27,834,085`	0.504	0.496	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.503	0.497	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.503	0.497	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.503	0.497	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.502	0.497	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.502	0.498	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.502	0.498	0.000
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rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.464	0.536	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.464	0.536	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.463	0.536	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.463	0.536	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.463	0.536	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.463	0.537	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.463	0.537	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.463	0.537	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.463	0.537	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.463	0.537	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.462	0.538	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.462	0.538	0.000
rs77913858 lBF = `29.141` Chr`6` : `32,066,815`	0.461	0.538	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.461	0.538	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.461	0.539	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.461	0.539	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.461	0.539	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.461	0.539	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.461	0.539	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.461	0.539	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.461	0.539	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.461	0.539	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.460	0.539	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.460	0.540	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.460	0.540	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.460	0.540	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.460	0.540	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.460	0.540	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.459	0.540	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.459	0.540	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.459	0.540	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.459	0.540	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.459	0.541	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.459	0.541	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.459	0.541	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.459	0.541	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.459	0.541	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.458	0.541	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.459	0.541	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.458	0.541	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.458	0.541	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.458	0.542	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.458	0.542	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.458	0.542	0.000
rs12632235 lBF = `6.76759` Chr`3` : `100,536,284`	0.458	0.542	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.458	0.542	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.458	0.542	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.458	0.542	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.457	0.542	0.000
rs73134752 lBF = `11.2492` Chr`3` : `85,437,738`	0.457	0.542	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.457	0.542	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.457	0.543	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.457	0.543	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.457	0.543	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.457	0.543	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.456	0.543	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.456	0.543	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.456	0.543	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.456	0.544	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.544	0.456
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.456	0.544	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.455	0.544	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.455	0.545	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.455	0.545	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.455	0.545	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.454	0.545	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.454	0.545	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.454	0.546	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.454	0.546	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.454	0.546	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.454	0.546	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.546	0.453
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.000	0.547	0.453
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.453	0.547	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.452	0.547	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.452	0.548	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.452	0.548	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.452	0.548	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.452	0.548	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.452	0.548	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.451	0.548	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.451	0.548	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.451	0.549	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.451	0.549	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.451	0.549	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.451	0.549	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.450	0.549	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.450	0.550	0.000
rs12039519 lBF = `3.41232` Chr`1` : `161,953,400`	0.450	0.550	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.450	0.550	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.450	0.550	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.450	0.550	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.450	0.550	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.450	0.550	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.5276

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4557

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7168

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7140

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7116

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7111

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7070

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7061

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7052

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7046

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7035

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7023

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7019

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6960

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6945

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6945

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6898

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6881

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6854

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6850

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6815

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6815

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6771

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6739

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6721

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6711

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6701

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6696

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6693

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6690

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6687

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6655

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6607

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6605

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6605

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6585

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6576

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6560

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6555

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6542

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6536

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6518

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6512

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6511

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6484

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6387

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6371

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6365

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6357

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6351

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6331

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6330

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6330

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6311

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6268

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6200

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6197

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6172

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6169

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6141

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6119

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6106

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6105

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6100

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6094

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6093

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6079

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6071

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6033

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5965

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5941

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5868

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5864

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5834

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5830

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.5812

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5773

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5762

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5740

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5673

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5659

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5628

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5622

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5601

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5594

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5594

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5572

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5566

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5538

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5484

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5461

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5411

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5402

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5400

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5358

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5355

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5333

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5274

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5272

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5266

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5263

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5241

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5180

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5142

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5117

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5048

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5019

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4992

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4945

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4943

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4917

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4917

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4833

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4788

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4733

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4723

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4704

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4675

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4652

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4647

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4621

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4603

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4581

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4563

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4318

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4207

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4175

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4141

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4081

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3987

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3986

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3931

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3926

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3905

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3882

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3862

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3861

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3826

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3816

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3807

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3788

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3776

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3738

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3707

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3661

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3568

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3555

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3468

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3448

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3420

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3403

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3334

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3230

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3226

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3196

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3157

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3150

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3149

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3106

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3092

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3063

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3023

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2980

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2950

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2926

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2473

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2279

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2273

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2260

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.2220

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2158

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2154

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2141

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1839

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1803

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1601

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1557

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1401

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1391

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1259

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1210

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1093

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1042

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1032

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0991

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0922

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0883

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0868

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0853

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0828

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0822

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0779

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0623

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0593

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0553

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.0543

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`)