TreeWAS – [E46] Unspecified protein-energy malnutrition

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
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.856	0.144	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.800	0.200	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.782	0.218	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.759	0.241	0.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	0.729	0.271	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.728	0.272	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.723	0.277	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.700	0.300	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.686	0.314	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.672	0.328	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.669	0.331	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.662	0.338	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.662	0.338	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.660	0.340	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.645	0.355	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.631	0.369	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.626	0.374	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.619	0.380	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.619	0.381	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.608	0.391	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.604	0.396	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.602	0.398	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.600	0.400	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.597	0.403	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.595	0.405	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.593	0.407	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.592	0.407	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.592	0.407	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.588	0.411	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.587	0.413	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.585	0.415	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.582	0.418	0.000
rs16850885 lBF = `1.5091` Chr`4` : `75,170,140`	0.581	0.419	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.577	0.422	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.576	0.424	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.575	0.425	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.574	0.426	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.570	0.430	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.563	0.437	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.560	0.440	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.551	0.449	0.000
rs16850864 lBF = `1.15468` Chr`4` : `75,160,824`	0.550	0.450	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.549	0.451	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.548	0.452	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.548	0.452	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.547	0.453	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.547	0.453	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.542	0.458	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.540	0.460	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.535	0.465	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.527	0.473	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.524	0.476	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.520	0.480	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.519	0.481	0.000
rs16877106 lBF = `2.21521` Chr`4` : `25,403,266`	0.519	0.481	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.518	0.482	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.517	0.483	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.515	0.485	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.514	0.486	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.514	0.486	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.514	0.486	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.514	0.486	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.514	0.486	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.514	0.486	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.514	0.486	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.514	0.486	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.514	0.486	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.514	0.486	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.487	0.513
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.513	0.487	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.513	0.487	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.513	0.487	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.513	0.487	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.513	0.487	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.512	0.488	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.511	0.489	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.510	0.490	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.510	0.490	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.510	0.490	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.508	0.492	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.508	0.492	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.508	0.492	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.507	0.492	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.507	0.493	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.506	0.494	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.505	0.495	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.504	0.495	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.504	0.496	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.503	0.497	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.503	0.497	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.502	0.498	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.501	0.499	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.499	0.500	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.499	0.501	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.497	0.503	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.496	0.504	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.495	0.505	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.494	0.506	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.493	0.506	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.493	0.506	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.493	0.507	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.492	0.508	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.488	0.511	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.483	0.517	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.481	0.519	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.478	0.521	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.478	0.521	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.473	0.526	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.473	0.526	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.473	0.527	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.473	0.527	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.472	0.528	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.471	0.528	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.469	0.530	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.468	0.532	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.467	0.532	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.467	0.533	0.000
rs4689381 lBF = `5.96745` Chr`4` : `6,257,188`	0.466	0.534	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.466	0.534	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.464	0.536	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.463	0.537	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.462	0.537	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.459	0.540	0.000
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.457	0.543	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.455	0.544	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.455	0.545	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.454	0.546	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.454	0.546	0.000
rs28875200 lBF = `1.01401` Chr`4` : `90,027,928`	0.450	0.549	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.551	0.449
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.449	0.551	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.447	0.553	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.443	0.557	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.442	0.557	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.442	0.557	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.441	0.559	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.440	0.560	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.439	0.561	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.438	0.562	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.434	0.565	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.434	0.566	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.433	0.566	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.432	0.568	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.430	0.570	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.428	0.572	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.426	0.574	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.425	0.574	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.423	0.577	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.422	0.578	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.421	0.579	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.420	0.580	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.418	0.581	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.418	0.582	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.415	0.585	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.413	0.587	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.413	0.587	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.410	0.590	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.407	0.592	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.407	0.593	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.405	0.595	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.404	0.595	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.404	0.596	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.402	0.598	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.401	0.599	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.399	0.600	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.399	0.601	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.398	0.601	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.396	0.604	0.000
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.391	0.609	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.389	0.611	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.389	0.611	0.000
rs1602084 lBF = `1.34728` Chr`4` : `128,843,480`	0.389	0.611	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.385	0.614	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.384	0.616	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.381	0.619	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.380	0.620	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.379	0.620	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.371	0.628	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.371	0.629	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.368	0.632	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.368	0.632	0.000
rs143638193 lBF = `0.62416` Chr`4` : `141,500,705`	0.364	0.635	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.363	0.636	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.363	0.637	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.362	0.638	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.361	0.639	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.359	0.641	0.000
rs114439515 lBF = `1.19568` Chr`4` : `57,676,403`	0.359	0.641	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.357	0.643	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.354	0.646	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.350	0.649	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.336	0.664	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.328	0.671	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.327	0.673	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.325	0.674	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.325	0.675	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.325	0.675	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.323	0.677	0.001
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.321	0.679	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.320	0.680	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.318	0.682	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.316	0.684	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.314	0.686	0.000
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rs2045323 lBF = `-0.0429233` Chr`4` : `154,831,899`	0.003	0.997	0.000
rs115641191 lBF = `0.0112616` Chr`4` : `103,054,209`	0.003	0.997	0.000
rs10009409 lBF = `-0.0857637` Chr`4` : `73,855,253`	0.000	0.997	0.003
rs2123959 lBF = `-0.0552619` Chr`4` : `91,720,598`	0.003	0.997	0.000
rs3135174 lBF = `0.571839` Chr`4` : `3,256,805`	0.000	0.997	0.003
rs17885864 lBF = `0.166926` Chr`4` : `41,747,899`	0.002	0.997	0.000
rs61075980 lBF = `27.6065` Chr`4` : `148,374,767`	0.002	0.997	0.000
rs10012953 lBF = `0.366119` Chr`4` : `110,964,362`	0.002	0.997	0.001
rs13152543 lBF = `0.00004463` Chr`4` : `85,577,541`	0.002	0.998	0.000
rs76117213 lBF = `0.00084676` Chr`4` : `85,596,236`	0.002	0.998	0.000
rs1061377 lBF = `0.123482` Chr`4` : `39,124,750`	0.000	0.998	0.002
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.002	0.998	0.000
rs13132430 lBF = `0.0226955` Chr`4` : `100,224,070`	0.002	0.998	0.000
rs13144621 lBF = `-0.0824126` Chr`4` : `109,217,929`	0.000	0.998	0.002
rs1478091 lBF = `-0.0264065` Chr`4` : `131,790,501`	0.000	0.998	0.002
rs10018902 lBF = `0.00158585` Chr`4` : `121,862,501`	0.002	0.998	0.000
rs1046320 lBF = `15.8834` Chr`4` : `6,304,344`	0.000	0.998	0.002
rs16872248 lBF = `0.350614` Chr`4` : `22,021,500`	0.002	0.998	0.000
rs72697068 lBF = `-0.00361685` Chr`4` : `164,193,673`	0.002	0.998	0.000
rs6050 lBF = `38.0039` Chr`4` : `155,507,590`	0.000	0.998	0.002
rs13109457 lBF = `36.4757` Chr`4` : `155,514,879`	0.000	0.998	0.002
rs41359445 lBF = `0.0285156` Chr`4` : `23,794,344`	0.002	0.998	0.000
rs6828740 lBF = `0.0298342` Chr`4` : `118,334,619`	0.002	0.998	0.000
rs1492848 lBF = `7.18332` Chr`4` : `83,068,042`	0.002	0.998	0.000
rs7688014 lBF = `0.0111244` Chr`4` : `103,975,060`	0.000	0.998	0.002
rs442177 lBF = `0.192409` Chr`4` : `88,030,261`	0.002	0.998	0.000
rs7690204 lBF = `-0.104998` Chr`4` : `145,196,206`	0.002	0.998	0.000
rs10028773 lBF = `0.0125097` Chr`4` : `120,265,259`	0.000	0.998	0.002
rs16990641 lBF = `0.00095957` Chr`4` : `35,009,208`	0.001	0.998	0.000
rs6831256 lBF = `-0.0532769` Chr`4` : `3,473,139`	0.002	0.998	0.000
rs10517480 lBF = `-0.113729` Chr`4` : `60,748,829`	0.000	0.998	0.002
rs7654093 lBF = `41.7027` Chr`4` : `155,545,072`	0.000	0.998	0.002
rs17305086 lBF = `0.07393` Chr`4` : `183,036,914`	0.000	0.998	0.002
rs2135507 lBF = `1.39059` Chr`4` : `83,586,671`	0.001	0.998	0.000
rs13142500 lBF = `1.55356` Chr`4` : `10,727,357`	0.000	0.998	0.002
rs6534441 lBF = `0.263809` Chr`4` : `125,415,534`	0.000	0.998	0.002
rs17054392 lBF = `0.0005003` Chr`4` : `169,530,258`	0.001	0.998	0.000
rs10520163 lBF = `-0.0385412` Chr`4` : `170,626,552`	0.002	0.998	0.000
rs3775948 lBF = `16.0525` Chr`4` : `9,995,182`	0.000	0.998	0.002
rs7692395 lBF = `-0.0280044` Chr`4` : `183,624,644`	0.000	0.998	0.001
rs17623373 lBF = `0.107538` Chr`4` : `185,121,733`	0.001	0.999	0.000
rs294777 lBF = `0.00107084` Chr`4` : `69,682,471`	0.001	0.999	0.000
rs9918079 lBF = `-0.0415512` Chr`4` : `15,545,410`	0.000	0.999	0.001
rs7681423 lBF = `41.0934` Chr`4` : `155,542,248`	0.000	0.999	0.001
rs10804976 lBF = `11.7971` Chr`4` : `6,315,954`	0.000	0.999	0.001
rs114070671 lBF = `0.00049337` Chr`4` : `41,056,716`	0.001	0.999	0.000
rs6449213 lBF = `13.3388` Chr`4` : `9,994,215`	0.001	0.999	0.000
rs4535301 lBF = `-0.0942653` Chr`4` : `170,263,443`	0.001	0.999	0.000
rs17316633 lBF = `0.322069` Chr`4` : `110,825,634`	0.000	0.999	0.001
rs10018288 lBF = `-0.0765598` Chr`4` : `182,101,689`	0.001	0.999	0.000
rs16872571 lBF = `0.362034` Chr`4` : `10,726,853`	0.001	0.999	0.000
rs7664442 lBF = `0.195342` Chr`4` : `23,018,704`	0.000	0.999	0.001
rs2736990 lBF = `0.603344` Chr`4` : `90,678,541`	0.001	0.999	0.000
rs62341639 lBF = `0.0198599` Chr`4` : `185,159,434`	0.000	0.999	0.001
rs2066865 lBF = `42.641` Chr`4` : `155,525,276`	0.000	0.999	0.001
rs7659024 lBF = `42.3569` Chr`4` : `155,520,930`	0.000	0.999	0.001
rs62314947 lBF = `0.139851` Chr`4` : `75,502,487`	0.001	0.999	0.000
rs10034692 lBF = `0.12066` Chr`4` : `75,419,787`	0.000	0.999	0.001
rs1350666 lBF = `-0.052395` Chr`4` : `75,224,590`	0.000	0.999	0.001
rs2518590 lBF = `0.00081962` Chr`4` : `17,435,090`	0.000	0.999	0.001
rs190972371 lBF = `0.00073049` Chr`4` : `57,680,410`	0.001	0.999	0.000
rs4688992 lBF = `10.2906` Chr`4` : `6,316,920`	0.000	0.999	0.001
rs907499 lBF = `0.00137205` Chr`4` : `26,137,019`	0.000	0.999	0.001
rs4697717 lBF = `6.55743` Chr`4` : `10,149,784`	0.000	0.999	0.001
rs77389579 lBF = `0.0218785` Chr`4` : `143,538,511`	0.001	0.999	0.000
rs7671266 lBF = `10.6555` Chr`4` : `10,056,376`	0.000	0.999	0.001
rs55962025 lBF = `0.104626` Chr`4` : `3,112,109`	0.000	0.999	0.001
rs72698613 lBF = `-0.00925623` Chr`4` : `176,008,218`	0.000	0.999	0.001
rs13107461 lBF = `0.111904` Chr`4` : `68,978,569`	0.000	0.999	0.001
rs4481233 lBF = `12.67` Chr`4` : `9,956,079`	0.000	0.999	0.001
rs9291683 lBF = `2.57597` Chr`4` : `10,324,160`	0.001	0.999	0.000
rs1868245 lBF = `0.0014785` Chr`4` : `87,848,739`	0.001	0.999	0.000
rs7699884 lBF = `0.040744` Chr`4` : `181,295,238`	0.001	0.999	0.000
rs2070011 lBF = `11.2989` Chr`4` : `155,511,897`	0.000	0.999	0.001
rs6533014 lBF = `0.273081` Chr`4` : `103,349,740`	0.000	0.999	0.001
rs1320267 lBF = `0.0255894` Chr`4` : `126,933,292`	0.001	0.999	0.000
rs10517133 lBF = `-0.0319965` Chr`4` : `45,364,914`	0.000	0.999	0.001
rs1115363 lBF = `0.00098881` Chr`4` : `67,073,143`	0.001	0.999	0.000
rs6822736 lBF = `0.452722` Chr`4` : `54,541,846`	0.000	0.999	0.001
rs16871289 lBF = `-0.00003337` Chr`4` : `21,511,383`	0.001	0.999	0.000
rs187455071 lBF = `-0.0123179` Chr`4` : `106,805,884`	0.001	0.999	0.000
rs72673821 lBF = `-0.0369103` Chr`4` : `106,718,253`	0.001	0.999	0.000
rs17639207 lBF = `-0.0741231` Chr`4` : `136,193,340`	0.001	0.999	0.000
rs4522865 lBF = `-0.0761473` Chr`4` : `102,715,888`	0.001	0.999	0.000
rs1440581 lBF = `-0.0876879` Chr`4` : `89,226,422`	0.001	0.999	0.000
rs72673889 lBF = `-0.0134124` Chr`4` : `106,810,547`	0.001	0.999	0.000
rs11099864 lBF = `0.0615593` Chr`4` : `153,893,354`	0.001	0.999	0.000
rs7669806 lBF = `0.00025535` Chr`4` : `78,346,377`	0.001	0.999	0.000
rs185538822 lBF = `-0.0114097` Chr`4` : `106,803,682`	0.001	0.999	0.000
rs1455213 lBF = `-0.045796` Chr`4` : `15,183,197`	0.000	0.999	0.001
rs4698790 lBF = `-0.0587848` Chr`4` : `110,727,560`	0.001	0.999	0.000
rs991316 lBF = `-0.061455` Chr`4` : `100,322,445`	0.000	0.999	0.001
rs17218161 lBF = `0.00027201` Chr`4` : `59,213,845`	0.001	0.999	0.000
rs6531565 lBF = `0.00027041` Chr`4` : `37,662,532`	0.000	0.999	0.001
rs72909131 lBF = `0.00013477` Chr`4` : `83,512,841`	0.001	0.999	0.000
rs11730660 lBF = `-0.00964963` Chr`4` : `106,800,379`	0.001	0.999	0.000
rs6855885 lBF = `0.0628252` Chr`4` : `92,039,007`	0.000	0.999	0.001
rs1851024 lBF = `0.0225623` Chr`4` : `72,707,821`	0.001	0.999	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5239

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.3852

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3847

Cluster X0175

log Bayes Factor = 45.9153

contains 4 variants

0.1947

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0648

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9923

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9920

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9880

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9858

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9803

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9780

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9752

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9747

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9737

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9709

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9610

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9607

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9599

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9593

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9531

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9481

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9454

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9447

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9435

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9333

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9279

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9272

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9236

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9226

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9222

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9206

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9180

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9145

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9102

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9013

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8971

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8935

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8888

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8875

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8855

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8842

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8808

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8795

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8760

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8752

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8744

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8708

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8697

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8607

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8555

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8542

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8477

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8468

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.8380

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8379

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8357

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8322

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8300

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8232

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8191

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8173

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8153

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8113

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8083

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8048

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8003

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7938

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7859

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7858

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7854

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7801

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7800

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7780

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7705

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7635

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7571

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7557

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7517

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7490

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7485

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7425

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7411

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7405

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7356

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7348

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7309

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7303

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7290

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7274

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7256

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7242

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7210

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7178

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7171

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7112

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.7057

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6992

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6957

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6916

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6913

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6899

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6881

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6821

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6786

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6783

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6775

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6760

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6594

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6576

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6569

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6554

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6431

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6408

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6395

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6389

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6385

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6382

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6371

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6231

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6218

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6217

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6190

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6154

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6132

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5992

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5957

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5939

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5874

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5836

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5811

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5805

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5803

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5732

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5724

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5680

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5666

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5547

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5528

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5504

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5460

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5350

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5336

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5282

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5252

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5217

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5129

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5118

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5096

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5043

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5041

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4983

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4921

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4914

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4891

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4815

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4664

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4516

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4430

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4422

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4382

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4324

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4281

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4242

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4199

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4134

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4027

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3984

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3982

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3975

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3964

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3916

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3847

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3838

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3804

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3705

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3631

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3513

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3364

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3359

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3339

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3276

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3247

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3041

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3040

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2826

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2351

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2289

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.2288

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2261

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2239

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2154

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.2107

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2089

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1978

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1812

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1715

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1699

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1609

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1574

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1385

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1258

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1122

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1087

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1061

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1054

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0965

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0838

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0754

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0714

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0662

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0662

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0585

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0556

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0522

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`)