TreeWAS – [G24.5] Blepharospasm

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
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.859	0.141	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.000	0.163	0.837
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.832	0.168	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.828	0.172	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.000	0.205	0.795
rs3094055 lBF = `42.0661` Chr`6` : `30,332,146`	0.794	0.206	0.000
rs2245514 lBF = `25.077` Chr`6` : `30,432,455`	0.793	0.207	0.000
rs3130361 lBF = `40.0053` Chr`6` : `30,339,564`	0.784	0.216	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.000	0.216	0.784
rs3129808 lBF = `41.7856` Chr`6` : `30,335,554`	0.781	0.219	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.000	0.222	0.778
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.775	0.225	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.769	0.231	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.764	0.236	0.000
rs1264539 lBF = `24.7934` Chr`6` : `30,388,701`	0.750	0.250	0.000
rs7751896 lBF = `75.8342` Chr`6` : `32,255,410`	0.744	0.256	0.000
rs3096681 lBF = `77.0179` Chr`6` : `32,235,177`	0.732	0.268	0.000
rs1018430 lBF = `76.6565` Chr`6` : `32,281,688`	0.729	0.271	0.000
rs3115569 lBF = `76.7928` Chr`6` : `32,224,139`	0.727	0.273	0.000
rs3115553 lBF = `75.8613` Chr`6` : `32,245,827`	0.724	0.276	0.000
rs9268213 lBF = `86.1367` Chr`6` : `32,282,081`	0.723	0.277	0.000
rs6935269 lBF = `77.7504` Chr`6` : `32,260,350`	0.723	0.277	0.000
rs154977 lBF = `164.311` Chr`6` : `32,900,018`	0.723	0.277	0.000
rs3132928 lBF = `75.6443` Chr`6` : `32,234,015`	0.722	0.278	0.000
rs7767325 lBF = `77.4929` Chr`6` : `32,233,886`	0.722	0.278	0.000
rs3115563 lBF = `76.6493` Chr`6` : `32,233,638`	0.719	0.281	0.000
rs9268167 lBF = `87.3034` Chr`6` : `32,272,437`	0.719	0.281	0.000
rs3130340 lBF = `76.5037` Chr`6` : `32,244,627`	0.714	0.286	0.000
rs6909427 lBF = `79.0866` Chr`6` : `32,268,701`	0.713	0.287	0.000
rs9268055 lBF = `76.1528` Chr`6` : `32,230,608`	0.710	0.290	0.000
rs3749966 lBF = `76.6498` Chr`6` : `32,261,507`	0.710	0.290	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.707	0.293	0.000
rs3115560 lBF = `76.4939` Chr`6` : `32,236,142`	0.707	0.293	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.707	0.293	0.000
rs3096674 lBF = `85.1077` Chr`6` : `32,238,219`	0.707	0.293	0.000
rs3118362 lBF = `108.751` Chr`6` : `28,785,085`	0.703	0.297	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.697	0.303	0.000
rs9268125 lBF = `86.2747` Chr`6` : `32,252,678`	0.694	0.306	0.000
rs6909790 lBF = `83.6247` Chr`6` : `32,282,979`	0.687	0.313	0.000
rs71559084 lBF = `132.261` Chr`6` : `28,436,668`	0.685	0.315	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.684	0.316	0.000
rs9268197 lBF = `84.1219` Chr`6` : `32,277,934`	0.683	0.317	0.000
rs9268176 lBF = `84.555` Chr`6` : `32,274,079`	0.681	0.319	0.000
rs6934776 lBF = `85.8605` Chr`6` : `32,279,816`	0.680	0.320	0.000
rs1018434 lBF = `86.6385` Chr`6` : `32,281,360`	0.679	0.321	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.679	0.321	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.678	0.321	0.000
rs1559873 lBF = `85.3626` Chr`6` : `32,243,129`	0.678	0.322	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.676	0.324	0.000
rs35814746 lBF = `136.674` Chr`6` : `28,299,088`	0.676	0.324	0.000
rs1264547 lBF = `25.0024` Chr`6` : `30,378,447`	0.675	0.324	0.000
rs4418214 lBF = `126.263` Chr`6` : `31,391,401`	0.675	0.325	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.674	0.326	0.000
rs1018433 lBF = `85.4992` Chr`6` : `32,281,510`	0.673	0.327	0.000
rs9268137 lBF = `85.7285` Chr`6` : `32,255,269`	0.670	0.330	0.000
rs3096673 lBF = `78.873` Chr`6` : `32,238,013`	0.669	0.331	0.000
rs9268212 lBF = `85.5709` Chr`6` : `32,281,889`	0.668	0.332	0.000
rs9268202 lBF = `81.6138` Chr`6` : `32,279,340`	0.668	0.332	0.000
rs71559077 lBF = `133.938` Chr`6` : `28,328,065`	0.667	0.333	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.667	0.333	0.000
rs6915455 lBF = `82.932` Chr`6` : `32,283,494`	0.665	0.335	0.000
rs3864300 lBF = `83.9992` Chr`6` : `32,271,807`	0.664	0.336	0.000
rs1559874 lBF = `81.7562` Chr`6` : `32,243,155`	0.662	0.338	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.662	0.338	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.661	0.339	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.653	0.346	0.000
rs13214703 lBF = `151.316` Chr`6` : `27,941,387`	0.651	0.349	0.000
rs881826 lBF = `5.51054` Chr`6` : `112,301,625`	0.651	0.349	0.000
rs7341328 lBF = `77.795` Chr`6` : `32,275,194`	0.651	0.349	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.651	0.349	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.649	0.350	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.648	0.351	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.648	0.351	0.000
rs2233952 lBF = `30.0165` Chr`6` : `31,105,891`	0.648	0.352	0.000
rs3132931 lBF = `84.3484` Chr`6` : `32,235,895`	0.647	0.353	0.000
rs3864302 lBF = `77.5578` Chr`6` : `32,278,792`	0.647	0.353	0.000
rs9268165 lBF = `78.52` Chr`6` : `32,272,327`	0.647	0.353	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.642	0.358	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.640	0.360	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.640	0.360	0.000
rs9268135 lBF = `85.8206` Chr`6` : `32,255,230`	0.640	0.360	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.639	0.361	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.638	0.361	0.000
rs6934429 lBF = `84.5686` Chr`6` : `32,279,622`	0.638	0.362	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.636	0.364	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.635	0.365	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.635	0.365	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.635	0.365	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.633	0.367	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.632	0.368	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.631	0.369	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.630	0.370	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.629	0.371	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.629	0.371	0.000
rs2844746 lBF = `52.5871` Chr`6` : `30,339,602`	0.627	0.373	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.625	0.375	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.624	0.376	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.622	0.377	0.000
rs3828923 lBF = `31.9633` Chr`6` : `29,590,715`	0.622	0.378	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.621	0.379	0.000
rs2516670 lBF = `34.5147` Chr`6` : `30,434,999`	0.621	0.379	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.620	0.380	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.619	0.380	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.618	0.382	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.617	0.382	0.000
rs79257513 lBF = `6.25159` Chr`3` : `55,862,777`	0.616	0.384	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.616	0.384	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.615	0.385	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.615	0.385	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.614	0.386	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.614	0.386	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.614	0.386	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.613	0.387	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.612	0.388	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.612	0.388	0.000
rs1264510 lBF = `32.8718` Chr`6` : `30,414,011`	0.611	0.389	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.610	0.390	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.610	0.390	0.000
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.609	0.391	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.609	0.391	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.607	0.393	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.607	0.393	0.000
rs3129890 lBF = `86.6135` Chr`6` : `32,414,273`	0.603	0.397	0.000
rs362538 lBF = `87.6033` Chr`6` : `29,510,630`	0.600	0.400	0.000
rs715044 lBF = `27.9833` Chr`6` : `29,593,788`	0.600	0.400	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.597	0.402	0.000
rs29255 lBF = `27.5069` Chr`6` : `29,579,544`	0.597	0.403	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.597	0.403	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.597	0.403	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.596	0.403	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.596	0.404	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.596	0.404	0.000
rs3115630 lBF = `60.0967` Chr`6` : `29,794,501`	0.595	0.405	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.595	0.405	0.000
rs7742654 lBF = `78.9886` Chr`6` : `32,271,443`	0.594	0.406	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.592	0.407	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.591	0.408	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.589	0.410	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.589	0.411	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.588	0.412	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.587	0.413	0.000
rs2516676 lBF = `32.4009` Chr`6` : `30,430,482`	0.587	0.413	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.585	0.415	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.583	0.417	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.582	0.418	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.581	0.419	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.580	0.420	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.579	0.420	0.000
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.579	0.421	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.578	0.422	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.578	0.422	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.578	0.422	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.422	0.578
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.577	0.423	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.576	0.424	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.575	0.425	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.575	0.425	0.000
rs12528017 lBF = `25.769` Chr`6` : `29,544,551`	0.574	0.426	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.574	0.426	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.573	0.427	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.573	0.427	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.572	0.428	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.572	0.428	0.000
rs114573401 lBF = `14.1938` Chr`6` : `31,192,383`	0.572	0.428	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.571	0.429	0.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.569	0.431	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.569	0.431	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.568	0.432	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.566	0.434	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.566	0.434	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.565	0.435	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.565	0.435	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.564	0.436	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.563	0.436	0.000
rs6907458 lBF = `57.9908` Chr`6` : `32,171,288`	0.562	0.438	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.561	0.439	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.560	0.440	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.560	0.440	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.560	0.440	0.000
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.559	0.441	0.000
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.559	0.441	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.559	0.441	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.559	0.441	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.558	0.442	0.000
rs3129945 lBF = `86.3142` Chr`6` : `32,342,537`	0.558	0.442	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.558	0.442	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.557	0.443	0.000
rs9269149 lBF = `81.9951` Chr`6` : `32,445,660`	0.557	0.443	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.556	0.444	0.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.555	0.445	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.555	0.445	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.554	0.445	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.554	0.446	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.553	0.447	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.553	0.447	0.000
rs204995 lBF = `73.8651` Chr`6` : `32,154,285`	0.553	0.447	0.000
rs2395029 lBF = `87.593` Chr`6` : `31,431,780`	0.552	0.447	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.552	0.448	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.552	0.448	0.000
rs3132129 lBF = `68.6594` Chr`6` : `30,027,860`	0.552	0.448	0.000
rs114963023 lBF = `14.7315` Chr`6` : `31,199,645`	0.551	0.449	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.551	0.449	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.551	0.449	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.551	0.449	0.000
rs56032526 lBF = `8.64126` Chr`1` : `216,011,361`	0.551	0.449	0.000
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rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.489	0.511	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.489	0.511	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.488	0.511	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.488	0.512	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.488	0.512	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.488	0.512	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.488	0.512	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.488	0.512	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.488	0.512	0.000
rs112239423 lBF = `13.0319` Chr`6` : `12,950,520`	0.488	0.512	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.487	0.513	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.487	0.513	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	0.487	0.513	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.487	0.513	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.487	0.513	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.486	0.513	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.486	0.513	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.486	0.514	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.485	0.514	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.485	0.515	0.000
rs204994 lBF = `75.1027` Chr`6` : `32,154,998`	0.485	0.515	0.000
rs114570543 lBF = `14.2163` Chr`6` : `30,953,209`	0.485	0.515	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.485	0.515	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.485	0.515	0.000
rs3130000 lBF = `33.3171` Chr`6` : `30,628,082`	0.485	0.515	0.000
rs116666910 lBF = `89.7108` Chr`6` : `31,327,034`	0.485	0.515	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.484	0.515	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.484	0.516	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.484	0.516	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.483	0.516	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.483	0.516	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.483	0.517	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.483	0.517	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.483	0.517	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.483	0.517	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.483	0.517	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.482	0.517	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.482	0.517	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.482	0.518	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.482	0.518	0.000
rs9267659 lBF = `134.372` Chr`6` : `31,846,234`	0.482	0.518	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.482	0.518	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.481	0.519	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.481	0.519	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.481	0.519	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.481	0.519	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.480	0.519	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.480	0.520	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.480	0.520	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.480	0.520	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.479	0.520	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.479	0.521	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.479	0.521	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.478	0.522	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.478	0.522	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.478	0.522	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.478	0.522	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.478	0.522	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.477	0.522	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.477	0.523	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.477	0.523	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.477	0.523	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.477	0.523	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.476	0.524	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.476	0.524	0.000
rs3129988 lBF = `30.4662` Chr`6` : `30,769,478`	0.476	0.524	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.476	0.524	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.476	0.524	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.476	0.524	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.475	0.524	0.000
rs116447526 lBF = `83.1717` Chr`6` : `31,417,995`	0.475	0.524	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.475	0.525	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.475	0.525	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.474	0.525	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.474	0.526	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.474	0.526	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.474	0.526	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.474	0.526	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.474	0.526	0.000
rs113508841 lBF = `1.547` Chr`6` : `136,545,273`	0.474	0.526	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.473	0.527	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.473	0.527	0.000
rs2157338 lBF = `85.9562` Chr`6` : `32,439,323`	0.473	0.527	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.473	0.527	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.473	0.527	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.473	0.527	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	0.473	0.527	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.472	0.527	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.472	0.527	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.472	0.528	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.472	0.528	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.472	0.528	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.472	0.528	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4238

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.3243

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1669

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0617

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9787

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9765

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9510

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9418

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9398

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9366

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9050

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8899

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.8790

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8596

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8575

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8524

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8337

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8195

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8154

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8124

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8121

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8033

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8032

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8013

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8012

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8011

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8005

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7962

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7949

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7944

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7915

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7687

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7639

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7624

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7612

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7605

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7515

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7514

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7471

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7469

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7383

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7381

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7355

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7180

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7093

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7002

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6952

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6951

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6947

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6927

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6895

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6887

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6876

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6794

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6621

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6603

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6593

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6501

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6491

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6440

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6430

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6396

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6384

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6383

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6298

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6289

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6287

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6264

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6239

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6223

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6218

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6215

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6183

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6168

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6138

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6102

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6056

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5979

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5958

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5945

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5936

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5919

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5907

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5857

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5826

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5778

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5773

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5722

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5677

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5665

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5648

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5644

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5626

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5624

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5612

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5537

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5529

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5498

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5470

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5456

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5441

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5431

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5355

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5330

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5286

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5274

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5247

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5219

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5147

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5098

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5058

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5048

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5046

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5012

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5010

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4956

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4918

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4916

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4850

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4849

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4793

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4769

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4727

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4720

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4631

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4576

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4550

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4532

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4501

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4487

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4487

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4467

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4428

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4425

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4395

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4367

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4330

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4293

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4273

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4249

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4243

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4158

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4086

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4080

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4065

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3969

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3957

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3808

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3759

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3753

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3738

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3722

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3561

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3480

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3439

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3417

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3368

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3332

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3272

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3218

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3184

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3127

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3108

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3105

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3030

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2993

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2981

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2916

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2740

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2705

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2639

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2571

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2571

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2347

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2313

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2271

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2226

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2226

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2172

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2170

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2080

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2027

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2011

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1931

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1826

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1800

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1701

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1599

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1555

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1485

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1453

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1416

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1301

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1283

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1133

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1087

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1052

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1027

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0908

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0891

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0887

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0883

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0845

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0795

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0769

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0758

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0751

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0725

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0689

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0618

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0551

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0538

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0521

Cluster X0267

log Bayes Factor = 92.4806

contains 5 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`)