TreeWAS – [R23.1] Pallor

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
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.862	0.138	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.798	0.202	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.760	0.240	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.740	0.260	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.730	0.270	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.711	0.289	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.711	0.289	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.707	0.293	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.702	0.297	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.693	0.307	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.691	0.309	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.691	0.309	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.690	0.310	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.685	0.315	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.683	0.317	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.682	0.318	0.000
rs116869426 lBF = `8.46932` Chr`11` : `47,290,967`	0.678	0.322	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.676	0.324	0.000
rs112996116 lBF = `5.48142` Chr`3` : `132,260,187`	0.671	0.328	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.671	0.329	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.667	0.333	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.666	0.334	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.663	0.337	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.661	0.339	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.654	0.346	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.652	0.348	0.000
rs114531066 lBF = `12.089` Chr`1` : `241,879,430`	0.650	0.350	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.648	0.352	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.645	0.355	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.644	0.356	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.639	0.361	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.636	0.364	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.633	0.367	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.633	0.367	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.633	0.367	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.632	0.368	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.629	0.371	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.629	0.371	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.628	0.372	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.625	0.375	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.620	0.380	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.619	0.381	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.617	0.383	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.617	0.383	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.616	0.384	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.615	0.385	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.614	0.386	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.613	0.387	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.611	0.389	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.610	0.390	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.609	0.391	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.609	0.391	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.609	0.391	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.607	0.393	0.000
rs77436432 lBF = `9.8446` Chr`11` : `46,958,250`	0.606	0.394	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.604	0.396	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.603	0.397	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.601	0.399	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.599	0.400	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.599	0.401	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.599	0.401	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.599	0.401	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.598	0.402	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.598	0.402	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.596	0.403	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.595	0.405	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.592	0.408	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.590	0.410	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.589	0.411	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.589	0.411	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.588	0.412	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.587	0.413	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.587	0.413	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.586	0.414	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.585	0.415	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.584	0.416	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.584	0.416	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.583	0.417	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.583	0.417	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.581	0.418	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.576	0.424	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.576	0.424	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.576	0.424	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.575	0.425	0.000
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.573	0.427	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.573	0.427	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.573	0.427	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.572	0.427	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.569	0.431	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.567	0.433	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.566	0.433	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.566	0.434	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.566	0.434	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.564	0.435	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.564	0.435	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.564	0.436	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.564	0.436	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.564	0.436	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.563	0.437	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.563	0.437	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.563	0.437	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.563	0.437	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.561	0.439	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.560	0.440	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.558	0.442	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.558	0.442	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.558	0.442	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.557	0.443	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.557	0.443	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.556	0.443	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.556	0.444	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.556	0.444	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.553	0.447	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.553	0.447	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.552	0.448	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.552	0.448	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.552	0.448	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.551	0.449	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.550	0.449	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.550	0.450	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.549	0.451	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.548	0.451	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.547	0.453	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.547	0.453	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.547	0.453	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.546	0.454	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.545	0.454	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.545	0.455	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.545	0.455	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.544	0.456	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.544	0.456	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.544	0.456	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.543	0.457	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.543	0.457	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.542	0.457	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.542	0.458	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.542	0.458	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.541	0.458	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.541	0.459	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.541	0.459	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.541	0.459	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.540	0.460	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.540	0.460	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.539	0.461	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.539	0.461	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.538	0.461	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.536	0.463	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.536	0.464	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.536	0.464	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.535	0.465	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.535	0.465	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.535	0.465	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.535	0.465	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.535	0.465	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.535	0.465	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.533	0.467	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.532	0.468	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.532	0.468	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.531	0.469	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.531	0.469	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.531	0.469	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.530	0.470	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.530	0.470	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.530	0.470	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.530	0.470	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.529	0.471	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.529	0.471	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.529	0.471	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.528	0.471	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.528	0.472	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.528	0.472	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.527	0.473	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.527	0.473	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.526	0.474	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.525	0.475	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.525	0.475	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.524	0.476	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.524	0.476	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.523	0.477	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.523	0.477	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.523	0.477	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.523	0.477	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.523	0.477	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.523	0.477	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.522	0.478	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.521	0.478	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.521	0.479	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.521	0.479	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.520	0.480	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.520	0.480	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.519	0.481	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.519	0.481	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.518	0.482	0.000
rs191110373 lBF = `14.4029` Chr`11` : `132,560,671`	0.518	0.482	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.518	0.482	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.518	0.482	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.517	0.482	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.517	0.483	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.515	0.484	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.515	0.485	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.514	0.485	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.514	0.485	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.514	0.486	0.000
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rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.461	0.539	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.461	0.539	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.461	0.539	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.461	0.539	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.461	0.539	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.461	0.539	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.461	0.539	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.461	0.539	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.460	0.539	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.460	0.540	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.460	0.540	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.460	0.540	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.460	0.540	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.460	0.540	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.460	0.540	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.459	0.541	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.459	0.541	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.459	0.541	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.459	0.541	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.459	0.541	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.459	0.541	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.458	0.541	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.458	0.542	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.458	0.542	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.458	0.542	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.458	0.542	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.458	0.542	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.458	0.542	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.457	0.543	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.457	0.543	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.456	0.543	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.456	0.544	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.456	0.544	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.456	0.544	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.456	0.544	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.455	0.544	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.455	0.545	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.455	0.545	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.455	0.545	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.455	0.545	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.455	0.545	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.455	0.545	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.455	0.545	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.454	0.545	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.454	0.546	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.454	0.546	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.454	0.546	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.454	0.546	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.454	0.546	0.000
rs114519311 lBF = `13.3575` Chr`5` : `31,424,212`	0.454	0.546	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.453	0.546	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.453	0.547	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.452	0.547	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.452	0.547	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.452	0.547	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.452	0.548	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.452	0.548	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.452	0.548	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.452	0.548	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.452	0.548	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.451	0.548	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.451	0.549	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.451	0.549	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.450	0.550	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.450	0.550	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.450	0.550	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.449	0.550	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.449	0.550	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.449	0.551	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.449	0.551	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.449	0.551	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.449	0.551	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.449	0.551	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.449	0.551	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.449	0.551	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.448	0.551	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.448	0.551	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.448	0.552	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.448	0.552	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.448	0.552	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.447	0.552	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.447	0.552	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.447	0.552	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.447	0.553	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.446	0.553	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.446	0.554	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.446	0.554	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.446	0.554	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.446	0.554	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.446	0.554	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.446	0.554	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.446	0.554	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.445	0.554	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.555	0.445

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

0.3346

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1678

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0535

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9897

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9734

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9660

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9639

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9615

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9540

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9347

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9319

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9259

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9255

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9225

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9200

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9191

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9174

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8994

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8983

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8957

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8932

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8900

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8895

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8867

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8861

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8854

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8853

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8836

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8801

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8744

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8568

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8435

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8405

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8328

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8324

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8276

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8189

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8183

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8150

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8084

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8073

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7996

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7964

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7953

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7936

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7804

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7661

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7620

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7609

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7571

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7544

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7538

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7507

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7501

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7488

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7481

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7473

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7403

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7385

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7376

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7320

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7240

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7205

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7172

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7158

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7149

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7084

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7079

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7042

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6919

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6901

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6883

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6853

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6842

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6787

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6601

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6589

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6559

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6468

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6405

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6336

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6269

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6233

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6099

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5983

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5728

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5669

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5505

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5370

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5304

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5206

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5188

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5104

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5090

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5089

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5050

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4859

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4809

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4736

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4621

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4535

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4452

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4373

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4368

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4138

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3995

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3876

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3849

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3806

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3404

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3303

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3261

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3154

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2896

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2889

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2794

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2740

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2732

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2632

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2594

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2560

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2508

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2461

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2133

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2107

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2076

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2075

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2032

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1910

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1840

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1692

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1651

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1618

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1593

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1583

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1513

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1498

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1434

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1418

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1407

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1388

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1335

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1320

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1308

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1262

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1241

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1123

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1119

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0948

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0856

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0634

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0567

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0545

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0503

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`)