TreeWAS – [M21.37] Wrist or foot drop (acquired) (Ankle and foot)

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
rs2335077 lBF = `7.4893` Chr`1` : `107,573,565`	0.854	0.146	0.000
rs17496332 lBF = `5.12119` Chr`1` : `107,546,375`	0.852	0.148	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.830	0.170	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.822	0.178	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.821	0.179	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.821	0.179	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.816	0.184	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.816	0.184	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.812	0.188	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.812	0.188	0.000
rs41527949 lBF = `5.62004` Chr`3` : `97,728,775`	0.810	0.190	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.810	0.190	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.806	0.194	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.805	0.195	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.798	0.202	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.785	0.215	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.778	0.222	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.778	0.222	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.772	0.228	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.768	0.232	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.764	0.236	0.000
rs9275312 lBF = `293.704` Chr`6` : `32,665,728`	0.761	0.239	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.761	0.239	0.000
rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	0.761	0.239	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.757	0.243	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.752	0.248	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.749	0.251	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.748	0.252	0.000
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.740	0.260	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.732	0.268	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.731	0.269	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.728	0.272	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.727	0.273	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.720	0.280	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.718	0.282	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.715	0.284	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.715	0.285	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.712	0.288	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.711	0.289	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.709	0.291	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.707	0.293	0.000
rs9275338 lBF = `287.168` Chr`6` : `32,667,343`	0.705	0.295	0.000
rs3763311 lBF = `203.85` Chr`6` : `32,376,176`	0.704	0.296	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.699	0.301	0.000
rs2647045 lBF = `95.9667` Chr`6` : `32,668,100`	0.696	0.304	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.690	0.310	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.686	0.314	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.683	0.317	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.682	0.318	0.000
rs9268480 lBF = `205.885` Chr`6` : `32,363,844`	0.681	0.319	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.676	0.324	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.674	0.326	0.000
rs3763307 lBF = `200.492` Chr`6` : `32,374,622`	0.673	0.327	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.669	0.330	0.000
rs9268428 lBF = `204.585` Chr`6` : `32,344,973`	0.666	0.334	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.665	0.335	0.000
rs9268499 lBF = `201.124` Chr`6` : `32,375,695`	0.665	0.335	0.000
rs9268514 lBF = `207.251` Chr`6` : `32,378,945`	0.665	0.335	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.665	0.335	0.000
rs1531046 lBF = `5.49776` Chr`2` : `84,550,396`	0.664	0.336	0.000
rs9268418 lBF = `204.537` Chr`6` : `32,343,686`	0.661	0.339	0.000
rs9268403 lBF = `206.094` Chr`6` : `32,341,473`	0.661	0.339	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.661	0.339	0.000
rs520161 lBF = `5.3246` Chr`7` : `28,210,660`	0.659	0.341	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.657	0.343	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.656	0.344	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.656	0.344	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.655	0.345	0.000
rs3819299 lBF = `73.6171` Chr`6` : `31,322,367`	0.654	0.346	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	0.654	0.346	0.000
rs9268429 lBF = `204.835` Chr`6` : `32,345,052`	0.653	0.347	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.651	0.349	0.000
rs9268481 lBF = `204.836` Chr`6` : `32,364,356`	0.650	0.350	0.000
rs9268456 lBF = `206.36` Chr`6` : `32,349,946`	0.649	0.351	0.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	0.649	0.351	0.000
rs9273489 lBF = `297.232` Chr`6` : `32,628,189`	0.649	0.351	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.647	0.353	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.643	0.357	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.642	0.358	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.641	0.359	0.000
rs2076525 lBF = `201.524` Chr`6` : `32,370,616`	0.641	0.359	0.000
rs1130399 lBF = `228.586` Chr`6` : `32,629,755`	0.640	0.360	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.634	0.366	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.634	0.366	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.634	0.366	0.000
rs9275134 lBF = `93.4581` Chr`6` : `32,650,612`	0.633	0.367	0.000
rs3817963 lBF = `197.964` Chr`6` : `32,368,087`	0.633	0.367	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.633	0.367	0.000
rs9268516 lBF = `206.395` Chr`6` : `32,379,489`	0.631	0.369	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.631	0.369	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.630	0.370	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.629	0.371	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.627	0.373	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.625	0.375	0.000
rs9268459 lBF = `204.967` Chr`6` : `32,350,776`	0.624	0.376	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.623	0.377	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.622	0.378	0.000
rs8098701 lBF = `1.45811` Chr`18` : `43,551,013`	0.621	0.379	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.620	0.380	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.619	0.381	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.618	0.382	0.000
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.618	0.382	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.618	0.382	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.617	0.383	0.000
rs9268474 lBF = `206.823` Chr`6` : `32,357,165`	0.614	0.386	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.614	0.386	0.000
rs9275319 lBF = `298.483` Chr`6` : `32,666,295`	0.613	0.387	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.613	0.387	0.000
rs842828 lBF = `0.747838` Chr`2` : `201,247,491`	0.613	0.387	0.000
rs3763316 lBF = `205.685` Chr`6` : `32,376,746`	0.611	0.389	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.611	0.389	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.610	0.389	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.610	0.390	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.610	0.390	0.000
rs114343342 lBF = `21.1393` Chr`6` : `31,210,006`	0.609	0.391	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.609	0.391	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.609	0.391	0.000
rs116615123 lBF = `20.8066` Chr`6` : `31,203,923`	0.609	0.391	0.000
rs114210995 lBF = `20.5311` Chr`6` : `31,210,638`	0.609	0.391	0.000
rs114070457 lBF = `21.0799` Chr`6` : `31,206,695`	0.608	0.391	0.000
rs116135181 lBF = `21.4131` Chr`6` : `31,207,822`	0.608	0.392	0.000
rs116780006 lBF = `20.7795` Chr`6` : `31,199,765`	0.607	0.392	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.607	0.393	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.607	0.393	0.000
rs115057643 lBF = `21.3347` Chr`6` : `31,188,995`	0.605	0.395	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.605	0.395	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.601	0.399	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.600	0.400	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.600	0.400	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.600	0.400	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.599	0.401	0.000
rs6656088 lBF = `5.87242` Chr`1` : `225,909,815`	0.598	0.402	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.596	0.404	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.596	0.404	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.595	0.405	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	0.594	0.406	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.594	0.406	0.000
rs17191405 lBF = `17.5591` Chr`6` : `31,221,014`	0.593	0.407	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.592	0.408	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.591	0.409	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.590	0.410	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.590	0.410	0.000
rs3208409 lBF = `252.426` Chr`6` : `32,546,696`	0.589	0.411	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.588	0.412	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.587	0.413	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.587	0.413	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.586	0.414	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.586	0.414	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.586	0.414	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.585	0.415	0.000
rs3817962 lBF = `207.082` Chr`6` : `32,368,314`	0.584	0.416	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.582	0.418	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.582	0.418	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.578	0.421	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.577	0.423	0.000
rs10203166 lBF = `2.87971` Chr`2` : `59,789,705`	0.576	0.424	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.574	0.426	0.000
rs114652772 lBF = `20.6682` Chr`6` : `31,252,026`	0.574	0.426	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.574	0.426	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.574	0.426	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.572	0.428	0.000
rs9268500 lBF = `35.1497` Chr`6` : `32,376,517`	0.572	0.428	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.572	0.428	0.000
rs3763305 lBF = `35.2118` Chr`6` : `32,369,488`	0.571	0.429	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.571	0.429	0.000
rs17197024 lBF = `13.1864` Chr`6` : `31,115,965`	0.571	0.429	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.570	0.430	0.000
rs9273502 lBF = `239.503` Chr`6` : `32,628,389`	0.570	0.430	0.000
rs17628203 lBF = `26.8212` Chr`6` : `161,682,569`	0.569	0.431	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.568	0.432	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.567	0.433	0.000
rs3806155 lBF = `108.695` Chr`6` : `32,373,378`	0.566	0.434	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.566	0.434	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.566	0.434	0.000
rs73728482 lBF = `19.7099` Chr`6` : `31,229,579`	0.565	0.435	0.000
rs34839759 lBF = `247.024` Chr`6` : `32,546,557`	0.565	0.435	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.563	0.437	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.562	0.438	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.562	0.438	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.560	0.439	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.560	0.440	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.560	0.440	0.000
rs9268401 lBF = `190.875` Chr`6` : `32,341,318`	0.559	0.441	0.000
rs73730014 lBF = `19.9332` Chr`6` : `31,261,642`	0.559	0.441	0.000
rs139587602 lBF = `19.3926` Chr`6` : `31,210,279`	0.559	0.441	0.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	0.559	0.441	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.558	0.442	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.557	0.443	0.000
rs16899160 lBF = `19.5946` Chr`6` : `31,256,667`	0.556	0.444	0.000
rs73728777 lBF = `18.5296` Chr`6` : `31,253,458`	0.556	0.444	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.556	0.444	0.000
rs73730325 lBF = `18.677` Chr`6` : `31,234,150`	0.554	0.446	0.000
rs17198748 lBF = `20.0236` Chr`6` : `31,256,521`	0.554	0.446	0.000
rs12141391 lBF = `1.36552` Chr`1` : `72,274,473`	0.553	0.447	0.000
rs17198657 lBF = `20.1689` Chr`6` : `31,248,360`	0.553	0.447	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.553	0.447	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.553	0.447	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.553	0.447	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.552	0.448	0.000
rs113629572 lBF = `19.9871` Chr`6` : `31,252,019`	0.552	0.448	0.000
rs73728786 lBF = `19.943` Chr`6` : `31,254,683`	0.551	0.449	0.000
rs28373246 lBF = `20.5865` Chr`6` : `31,243,522`	0.550	0.450	0.000
rs73728773 lBF = `19.7013` Chr`6` : `31,251,782`	0.549	0.451	0.000
rs73728794 lBF = `21.7541` Chr`6` : `31,257,194`	0.547	0.452	0.000
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rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.546	0.454	0.000
rs73728796 lBF = `20.2005` Chr`6` : `31,257,354`	0.546	0.454	0.000
rs6919409 lBF = `20.7208` Chr`6` : `31,244,532`	0.546	0.454	0.000
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rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.545	0.455	0.000
rs56032526 lBF = `8.64126` Chr`1` : `216,011,361`	0.543	0.457	0.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	0.543	0.457	0.000
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rs4129843 lBF = `8.18025` Chr`1` : `215,987,222`	0.542	0.458	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.542	0.458	0.000
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rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.541	0.459	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.540	0.460	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.540	0.460	0.000
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rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.539	0.461	0.000
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rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.537	0.462	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.537	0.463	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.537	0.463	0.000
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rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.537	0.463	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.537	0.463	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.536	0.464	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.536	0.464	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.536	0.464	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.535	0.464	0.000
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rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.535	0.465	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.534	0.466	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.533	0.467	0.000
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rs7383287 lBF = `68.1186` Chr`6` : `32,783,086`	0.532	0.468	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.532	0.468	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.532	0.468	0.000
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rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.530	0.470	0.000
Affx-37068371 lBF = `16.55` Chr`6` : `31,237,354`	0.530	0.470	0.000
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rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.529	0.471	0.000
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rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.529	0.471	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.529	0.471	0.000
Affx-28486470 lBF = `253.054` Chr`6` : `32,546,879`	0.528	0.472	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.528	0.472	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.528	0.472	0.000
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rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.526	0.474	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.526	0.474	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.525	0.474	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.525	0.474	0.000
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rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.525	0.475	0.000
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rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.524	0.476	0.000
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rs12632235 lBF = `6.76759` Chr`3` : `100,536,284`	0.522	0.478	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.522	0.478	0.000
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rs73730013 lBF = `20.1133` Chr`6` : `31,261,514`	0.520	0.479	0.000
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rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.520	0.480	0.000
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rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.518	0.482	0.000
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rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.518	0.482	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.518	0.482	0.000
rs6918237 lBF = `18.5441` Chr`6` : `31,244,154`	0.518	0.482	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.518	0.482	0.000
rs73728778 lBF = `20.7099` Chr`6` : `31,253,564`	0.518	0.482	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.517	0.483	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.516	0.484	0.000
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rs9469220 lBF = `239.257` Chr`6` : `32,658,310`	0.000	0.485	0.515
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.515	0.485	0.000
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rs2248477 lBF = `30.0926` Chr`6` : `31,447,005`	0.483	0.517	0.000
rs11677466 lBF = `0.96201` Chr`2` : `232,982,257`	0.483	0.517	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.483	0.517	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.482	0.517	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.482	0.517	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.482	0.517	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.482	0.518	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.482	0.518	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.482	0.518	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.481	0.518	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.481	0.519	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.481	0.519	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.481	0.519	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.481	0.519	0.000
rs2395153 lBF = `236.625` Chr`6` : `32,345,595`	0.481	0.519	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.480	0.520	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.479	0.520	0.000
rs60129738 lBF = `6.96634` Chr`2` : `28,328,311`	0.479	0.520	0.000
rs17010785 lBF = `11.2492` Chr`1` : `221,965,204`	0.479	0.521	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.479	0.521	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.479	0.521	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.478	0.522	0.000
rs72687906 lBF = `23.6881` Chr`1` : `113,922,269`	0.478	0.522	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.478	0.522	0.000
rs73728489 lBF = `16.0863` Chr`6` : `31,232,125`	0.478	0.522	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.478	0.522	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.478	0.522	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.477	0.523	0.000
rs11965763 lBF = `126.728` Chr`6` : `33,076,682`	0.477	0.523	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.476	0.524	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.476	0.524	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.475	0.524	0.000
rs114919178 lBF = `30.8375` Chr`6` : `31,613,571`	0.475	0.525	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.475	0.525	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.475	0.525	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.475	0.525	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.475	0.525	0.000
rs17207370 lBF = `31.3786` Chr`6` : `31,678,691`	0.474	0.525	0.000
rs116135464 lBF = `90.0255` Chr`6` : `31,370,984`	0.474	0.525	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.474	0.526	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.474	0.526	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.474	0.526	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.474	0.526	0.000
rs114399331 lBF = `82.0446` Chr`6` : `31,397,844`	0.474	0.526	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.474	0.526	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.473	0.526	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.473	0.527	0.000
rs17035310 lBF = `0.857621` Chr`4` : `106,064,754`	0.473	0.527	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.473	0.527	0.000
rs6911848 lBF = `125.052` Chr`6` : `33,075,259`	0.472	0.527	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.472	0.528	0.000
rs2853926 lBF = `83.1612` Chr`6` : `31,263,051`	0.000	0.528	0.472
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.472	0.528	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.472	0.528	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.472	0.528	0.000
rs9268835 lBF = `269.889` Chr`6` : `32,428,115`	0.472	0.528	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.472	0.528	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.472	0.528	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.472	0.528	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.471	0.528	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.471	0.529	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.471	0.529	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.471	0.529	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.471	0.529	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.469	0.530	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.469	0.530	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.469	0.531	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.469	0.531	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.469	0.531	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.469	0.531	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	0.469	0.531	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.468	0.532	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.468	0.532	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.468	0.532	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.468	0.532	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.467	0.532	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.467	0.532	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.467	0.533	0.000
rs9268833 lBF = `269.572` Chr`6` : `32,428,062`	0.467	0.533	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.467	0.533	0.000
rs10502739 lBF = `0.93719` Chr`18` : `38,220,099`	0.467	0.533	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.467	0.533	0.000
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.466	0.533	0.000
rs9501239 lBF = `16.8023` Chr`6` : `32,895,580`	0.466	0.534	0.000
rs116447526 lBF = `83.1717` Chr`6` : `31,417,995`	0.466	0.534	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.466	0.534	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.466	0.534	0.000
rs17200400 lBF = `85.1603` Chr`6` : `31,389,923`	0.466	0.534	0.000
rs115277907 lBF = `44.632` Chr`6` : `31,901,090`	0.466	0.534	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.465	0.534	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.465	0.535	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.465	0.535	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.465	0.535	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.464	0.535	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 X0339

log Bayes Factor = 56.078

contains 2 variants

0.3110

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9988

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9926

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9894

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9739

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9739

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9599

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9547

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9521

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9483

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9469

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9356

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9210

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9125

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9084

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9078

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9020

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8774

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8554

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8491

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8476

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8404

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8397

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8352

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8293

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8267

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8223

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8213

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8079

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8076

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8070

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8036

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7991

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7970

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7951

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7917

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7909

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7902

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7871

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7849

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7789

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7774

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7767

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7673

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7642

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7571

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7563

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7534

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7453

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7430

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7306

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7259

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.7193

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7074

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7061

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6996

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6907

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6870

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6763

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6755

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6754

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6752

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6751

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6715

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6696

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6679

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6663

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6568

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6564

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6464

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6415

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6409

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6387

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6386

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6344

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6316

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6269

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6228

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6171

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6165

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6163

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6150

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6098

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6095

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6074

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6067

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6050

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5903

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5835

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5793

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5774

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5705

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5571

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5494

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5494

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5476

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5449

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5387

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5316

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5257

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5185

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5171

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5121

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4882

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4864

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4805

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4793

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4607

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4586

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4474

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4466

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4405

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4400

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4380

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4374

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4179

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4135

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4120

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4096

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4076

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3985

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.3975

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3925

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3903

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3805

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3724

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3702

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3676

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3650

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3636

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3616

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3545

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3487

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3484

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3443

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3300

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3132

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3107

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3010

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2998

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2898

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2790

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2787

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2652

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2627

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2600

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2536

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2432

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2429

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2422

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2291

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2231

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2212

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2142

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2084

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1948

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1920

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1875

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1801

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1794

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1694

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1642

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.1604

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1553

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1368

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1356

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1339

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1329

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.1311

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1297

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1275

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1269

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1179

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1128

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1082

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1082

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1048

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1040

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1032

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1009

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0968

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0945

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0934

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0844

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0837

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0775

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0730

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0658

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0645

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0594

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0588

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0521

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`)