TreeWAS – [T38.8] Other and unspecified hormones and their synthetic substitutes

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
rs7715811 lBF = `2.69078` Chr`5` : `13,769,974`	0.762	0.238	0.000
rs1502050 lBF = `2.66649` Chr`5` : `13,779,743`	0.757	0.243	0.000
rs2248372 lBF = `103.651` Chr`6` : `31,446,466`	0.754	0.246	0.000
rs2516422 lBF = `97.9547` Chr`6` : `31,449,269`	0.726	0.273	0.000
rs2516513 lBF = `97.6551` Chr`6` : `31,447,588`	0.726	0.274	0.000
rs2516511 lBF = `99.3774` Chr`6` : `31,448,625`	0.724	0.276	0.000
rs2516509 lBF = `97.2534` Chr`6` : `31,449,994`	0.723	0.277	0.000
rs2523705 lBF = `98.6424` Chr`6` : `31,451,680`	0.723	0.277	0.000
rs2896103 lBF = `2.16646` Chr`5` : `13,764,419`	0.723	0.277	0.000
rs549114 lBF = `5.53235` Chr`1` : `94,534,354`	0.722	0.278	0.000
rs10223421 lBF = `106.956` Chr`6` : `31,390,055`	0.720	0.280	0.000
rs9266845 lBF = `110.015` Chr`6` : `31,384,792`	0.716	0.284	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.716	0.284	0.000
rs9266825 lBF = `110.415` Chr`6` : `31,382,882`	0.714	0.285	0.000
rs2248462 lBF = `98.4899` Chr`6` : `31,446,796`	0.714	0.286	0.000
rs6932236 lBF = `111.72` Chr`6` : `31,383,979`	0.711	0.289	0.000
rs10947207 lBF = `128.647` Chr`6` : `31,361,485`	0.711	0.289	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	0.705	0.295	0.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	0.705	0.295	0.000
rs4711269 lBF = `127.281` Chr`6` : `31,354,819`	0.704	0.295	0.000
rs13437082 lBF = `127.747` Chr`6` : `31,354,560`	0.704	0.296	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	0.704	0.296	0.000
rs11580034 lBF = `5.80331` Chr`1` : `157,910,551`	0.704	0.296	0.000
rs7751505 lBF = `128.813` Chr`6` : `31,360,255`	0.703	0.297	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	0.703	0.297	0.000
rs1051786 lBF = `106.433` Chr`6` : `31,378,425`	0.699	0.301	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.699	0.301	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.697	0.302	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.696	0.303	0.000
rs1130399 lBF = `228.586` Chr`6` : `32,629,755`	0.694	0.306	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.694	0.306	0.000
rs66862067 lBF = `127.851` Chr`6` : `31,363,606`	0.694	0.306	0.000
rs7751725 lBF = `127.662` Chr`6` : `31,360,433`	0.693	0.307	0.000
rs4711268 lBF = `127.811` Chr`6` : `31,354,504`	0.692	0.308	0.000
rs7772549 lBF = `106.766` Chr`6` : `31,407,643`	0.691	0.309	0.000
rs8099121 lBF = `2.09268` Chr`18` : `4,980,408`	0.000	0.312	0.687
rs34118408 lBF = `5.19697` Chr`3` : `196,369,375`	0.687	0.313	0.000
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.681	0.319	0.000
rs10175070 lBF = `2.55306` Chr`2` : `228,670,575`	0.000	0.327	0.673
rs3857536 lBF = `3.18052` Chr`6` : `66,929,048`	0.673	0.327	0.000
rs3099557 lBF = `2.73796` Chr`4` : `22,824,021`	0.000	0.328	0.672
rs3763313 lBF = `129.358` Chr`6` : `32,376,471`	0.669	0.331	0.000
rs1761375 lBF = `6.09751` Chr`1` : `94,538,011`	0.668	0.331	0.000
rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.668	0.331	0.000
rs7654538 lBF = `10.9631` Chr`4` : `151,201,635`	0.668	0.331	0.000
rs9378357 lBF = `2.08973` Chr`6` : `3,294,824`	0.668	0.332	0.000
rs11097431 lBF = `6.02195` Chr`4` : `95,506,842`	0.667	0.333	0.000
rs17336353 lBF = `5.80747` Chr`4` : `95,516,516`	0.663	0.337	0.000
rs495089 lBF = `38.6728` Chr`6` : `32,197,463`	0.663	0.337	0.000
rs9348876 lBF = `71.6856` Chr`6` : `31,575,276`	0.656	0.344	0.000
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.655	0.345	0.000
rs12761761 lBF = `1.99853` Chr`10` : `133,775,375`	0.654	0.346	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.653	0.347	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.652	0.348	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.650	0.350	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.649	0.350	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.648	0.352	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.646	0.354	0.000
rs10025074 lBF = `9.18864` Chr`4` : `95,474,562`	0.645	0.355	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.644	0.356	0.000
rs2930491 lBF = `1.29978` Chr`8` : `107,842,294`	0.642	0.358	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.642	0.358	0.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.642	0.358	0.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.641	0.358	0.000
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.640	0.360	0.000
rs7741091 lBF = `119.854` Chr`6` : `31,352,631`	0.639	0.361	0.000
rs4549702 lBF = `1.61489` Chr`7` : `147,901,016`	0.639	0.361	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.639	0.361	0.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.639	0.361	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.637	0.363	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.637	0.363	0.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.637	0.363	0.000
rs3093668 lBF = `82.8967` Chr`6` : `31,546,495`	0.637	0.363	0.000
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.000	0.364	0.635
rs5745709 lBF = `2.23855` Chr`7` : `81,349,412`	0.635	0.365	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.635	0.365	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.634	0.366	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.633	0.366	0.000
rs8192583 lBF = `58.0993` Chr`6` : `32,163,274`	0.632	0.368	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.000	0.368	0.632
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.632	0.368	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.632	0.368	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.632	0.368	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.631	0.369	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.631	0.369	0.000
rs6817154 lBF = `20.7823` Chr`4` : `151,206,319`	0.630	0.370	0.000
rs2395029 lBF = `87.593` Chr`6` : `31,431,780`	0.629	0.371	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.629	0.371	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	0.628	0.372	0.000
rs3749574 lBF = `21.4834` Chr`4` : `151,207,127`	0.626	0.373	0.000
rs114164869 lBF = `6.47754` Chr`2` : `22,613,679`	0.626	0.374	0.000
rs6907458 lBF = `57.9908` Chr`6` : `32,171,288`	0.626	0.374	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.625	0.375	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.625	0.375	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.624	0.376	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.624	0.376	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.624	0.376	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.624	0.376	0.000
rs75947923 lBF = `5.12373` Chr`2` : `22,695,916`	0.623	0.376	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.623	0.377	0.000
rs1555967 lBF = `2.33405` Chr`6` : `51,159,995`	0.623	0.377	0.000
rs10795130 lBF = `2.58291` Chr`10` : `4,151,121`	0.623	0.377	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.623	0.377	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.622	0.377	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.622	0.378	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.620	0.380	0.000
rs630379 lBF = `243.642` Chr`6` : `31,922,254`	0.000	0.381	0.619
rs11575907 lBF = `33.192` Chr`6` : `32,782,112`	0.618	0.382	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.618	0.382	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.618	0.382	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.617	0.382	0.000
rs492146 lBF = `3.58103` Chr`6` : `52,835,895`	0.000	0.383	0.617
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.000	0.384	0.616
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.615	0.385	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.615	0.385	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.614	0.386	0.000
rs206776 lBF = `62.7462` Chr`6` : `32,953,711`	0.613	0.386	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.613	0.387	0.000
rs337161 lBF = `2.05641` Chr`1` : `220,914,920`	0.613	0.387	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.613	0.387	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.612	0.388	0.000
rs7952106 lBF = `4.30143` Chr`11` : `113,424,558`	0.611	0.388	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.611	0.389	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.611	0.389	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.611	0.389	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.610	0.390	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.609	0.390	0.000
rs12108452 lBF = `9.62296` Chr`4` : `95,300,688`	0.609	0.391	0.000
rs437179 lBF = `234.386` Chr`6` : `31,929,014`	0.000	0.393	0.607
rs3812497 lBF = `6.67685` Chr`9` : `140,611,436`	0.607	0.393	0.000
rs419788 lBF = `237.889` Chr`6` : `31,928,799`	0.000	0.393	0.607
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.607	0.393	0.000
rs2621322 lBF = `79.2896` Chr`6` : `32,788,712`	0.606	0.394	0.000
rs4987595 lBF = `2.60195` Chr`7` : `142,585,006`	0.604	0.396	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.603	0.396	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.603	0.397	0.000
rs8020941 lBF = `1.5323` Chr`14` : `97,533,362`	0.603	0.397	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.602	0.398	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.602	0.398	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.601	0.399	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.601	0.399	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.601	0.399	0.000
rs11621135 lBF = `1.21794` Chr`14` : `71,659,609`	0.600	0.400	0.000
rs587074 lBF = `10.0622` Chr`11` : `1,881,071`	0.600	0.400	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.599	0.400	0.000
rs13393011 lBF = `7.2631` Chr`2` : `1,692,254`	0.599	0.401	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.598	0.401	0.000
rs4129843 lBF = `8.18025` Chr`1` : `215,987,222`	0.597	0.402	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.597	0.403	0.000
rs56032526 lBF = `8.64126` Chr`1` : `216,011,361`	0.597	0.403	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.597	0.403	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.597	0.403	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.596	0.403	0.000
rs2857106 lBF = `77.6131` Chr`6` : `32,787,570`	0.596	0.404	0.000
rs77689730 lBF = `5.04085` Chr`11` : `51,515,912`	0.596	0.404	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.595	0.405	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.595	0.405	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.595	0.405	0.000
rs115578729 lBF = `6.02631` Chr`1` : `249,125,649`	0.594	0.405	0.000
rs2734839 lBF = `1.4984` Chr`11` : `113,286,490`	0.000	0.406	0.594
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.594	0.406	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.594	0.406	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.594	0.406	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.593	0.406	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.593	0.407	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.593	0.407	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.592	0.407	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.592	0.407	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.592	0.407	0.000
rs389883 lBF = `240.061` Chr`6` : `31,947,460`	0.000	0.407	0.592
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.592	0.408	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.592	0.408	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.592	0.408	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.591	0.409	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.591	0.409	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.591	0.409	0.000
rs410851 lBF = `239.5` Chr`6` : `31,936,668`	0.000	0.409	0.591
rs10484566 lBF = `17.6082` Chr`6` : `32,835,258`	0.590	0.410	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.590	0.410	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.589	0.410	0.000
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.589	0.411	0.000
rs17602038 lBF = `5.28663` Chr`11` : `113,364,691`	0.000	0.411	0.588
rs2506933 lBF = `1.94426` Chr`6` : `93,615,450`	0.588	0.412	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.587	0.413	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.587	0.413	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.587	0.413	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.586	0.414	0.000
rs11229564 lBF = `5.51228` Chr`11` : `55,185,840`	0.585	0.415	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.585	0.415	0.000
rs6837957 lBF = `7.20634` Chr`4` : `151,241,258`	0.584	0.416	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.584	0.416	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.584	0.416	0.000
rs9267845 lBF = `54.0602` Chr`6` : `32,193,698`	0.584	0.416	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.584	0.416	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.584	0.416	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.583	0.416	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.583	0.417	0.000
rs1603753 lBF = `5.92283` Chr`11` : `51,306,953`	0.583	0.417	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.583	0.417	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.582	0.418	0.000
rs2155929 lBF = `5.09992` Chr`18` : `26,606,647`	0.582	0.418	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.582	0.418	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.582	0.418	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.582	0.418	0.000
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rs72850953 lBF = `8.10331` Chr`11` : `1,771,871`	0.545	0.454	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.545	0.455	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.545	0.455	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.545	0.455	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.545	0.455	0.000
rs12710729 lBF = `5.40936` Chr`2` : `19,973,210`	0.545	0.455	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.545	0.455	0.000
rs553542 lBF = `1.30739` Chr`11` : `102,701,376`	0.000	0.455	0.545
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.545	0.455	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.545	0.455	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.545	0.455	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.545	0.455	0.000
rs9501624 lBF = `61.2049` Chr`6` : `32,399,286`	0.545	0.455	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.545	0.455	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.545	0.455	0.000
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.544	0.455	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.544	0.456	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.544	0.456	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.544	0.456	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.544	0.456	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.544	0.456	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.544	0.456	0.000
rs9501234 lBF = `7.85737` Chr`6` : `32,876,049`	0.544	0.456	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.544	0.456	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.544	0.456	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.543	0.457	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.543	0.457	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.543	0.457	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.543	0.457	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.543	0.457	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.543	0.457	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.542	0.457	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.542	0.457	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.542	0.458	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.542	0.458	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.542	0.458	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.542	0.458	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.542	0.458	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.542	0.458	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.542	0.458	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.542	0.458	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.542	0.458	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.542	0.458	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.542	0.458	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.541	0.459	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.541	0.459	0.000
rs1897767 lBF = `5.8667` Chr`4` : `179,540,613`	0.000	0.459	0.541
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.541	0.459	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.541	0.459	0.000
rs36063014 lBF = `5.33782` Chr`3` : `169,302,504`	0.541	0.459	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.541	0.459	0.000
rs1960918 lBF = `4.83205` Chr`4` : `151,222,266`	0.000	0.459	0.541
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.540	0.459	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.540	0.460	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.540	0.460	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.540	0.460	0.000
rs525119 lBF = `1.23627` Chr`11` : `102,702,146`	0.000	0.460	0.540
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.540	0.460	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.540	0.460	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.540	0.460	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.539	0.460	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.539	0.460	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	0.539	0.460	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.539	0.461	0.000
rs154982 lBF = `8.1119` Chr`6` : `32,880,545`	0.539	0.461	0.000
rs17403780 lBF = `1.93243` Chr`1` : `191,939,788`	0.539	0.461	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.539	0.461	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.539	0.461	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.539	0.461	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.539	0.461	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.538	0.461	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.538	0.462	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.538	0.462	0.000
rs7599488 lBF = `1.02537` Chr`2` : `60,718,347`	0.538	0.462	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.538	0.462	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.538	0.462	0.000
rs154983 lBF = `7.7235` Chr`6` : `32,880,445`	0.538	0.462	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.538	0.462	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.538	0.462	0.000
rs470292 lBF = `1.17008` Chr`11` : `102,685,395`	0.000	0.462	0.538
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.537	0.462	0.000
rs13201769 lBF = `86.2755` Chr`6` : `30,756,066`	0.537	0.462	0.000
rs115272033 lBF = `11.1478` Chr`6` : `31,850,807`	0.537	0.463	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.537	0.463	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.537	0.463	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.537	0.463	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.537	0.463	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.537	0.463	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.537	0.463	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.537	0.463	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.537	0.463	0.000
rs12660860 lBF = `57.1912` Chr`6` : `30,764,241`	0.537	0.463	0.000
rs294588 lBF = `2.09432` Chr`5` : `162,998,515`	0.537	0.463	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.537	0.463	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 X0286

log Bayes Factor = 30.6663

contains 3 variants

0.5061

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4962

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3593

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2892

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7163

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7119

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7110

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7095

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7087

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7081

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7072

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7065

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7038

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7014

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7011

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6977

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6952

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6900

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6878

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6847

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6826

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6786

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6780

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6777

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6749

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6720

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6719

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6717

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6710

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6693

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6687

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6674

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6665

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6639

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6596

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6572

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6540

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6532

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6522

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6520

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.6514

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6493

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6488

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6481

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6437

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6427

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6425

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6420

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6411

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6384

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6384

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6358

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6357

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6353

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6351

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6346

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6304

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6296

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6244

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6236

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6233

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6222

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6207

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6202

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6194

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6171

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6145

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6136

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6110

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6105

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6104

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6070

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6060

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6060

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.6050

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6047

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6045

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6040

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6007

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6003

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5992

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5966

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5966

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5958

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5955

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5945

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5944

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5929

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5907

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5900

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5861

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5833

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5832

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5814

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5805

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5797

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5797

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5791

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5789

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5768

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5762

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5751

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5740

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5733

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5731

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5715

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5707

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5695

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5693

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5674

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5673

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5657

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5644

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5640

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5638

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5637

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5616

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5610

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5573

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5571

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5552

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5549

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5548

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5495

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5465

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5437

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5415

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5366

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5363

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5363

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5348

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.5348

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5345

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5333

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5270

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5231

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5165

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5150

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5140

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5139

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5139

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5138

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5137

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5133

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5114

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5113

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5098

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5089

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5072

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5063

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5052

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5037

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5015

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4972

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4943

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4897

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4837

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4818

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4780

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4780

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.4761

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4743

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4739

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.4714

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4699

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4477

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4429

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4395

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4345

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4296

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4264

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4258

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4231

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4193

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4133

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4088

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4087

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4074

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4016

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3974

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3968

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3890

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3869

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3699

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3694

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3576

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.3340

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3168

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3098

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3097

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3031

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3015

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2874

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2873

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2867

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2760

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.2681

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2540

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2350

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2213

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1837

Cluster X0016

log Bayes Factor = 246.869

contains 16 variants

0.1565

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1330

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1246

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0961

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0884

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0884

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0843

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0717

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.0635

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.0505

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`)