TreeWAS – [D45] Polycythaemia vera

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
rs7279238 lBF = `6.50081` Chr`21` : `43,092,206`	0.898	0.102	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.812	0.188	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.782	0.218	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.736	0.264	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.732	0.268	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.690	0.310	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.678	0.322	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.668	0.332	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.659	0.340	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.653	0.347	0.000
rs77292666 lBF = `7.58228` Chr`21` : `33,214,050`	0.627	0.373	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.602	0.398	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.584	0.416	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.580	0.420	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.576	0.424	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.572	0.428	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.570	0.430	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.569	0.431	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.567	0.433	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.562	0.438	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.560	0.440	0.000
rs34835292 lBF = `6.28298` Chr`21` : `17,333,558`	0.556	0.444	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.542	0.458	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.486	0.514	0.000
rs17229494 lBF = `5.20366` Chr`21` : `38,928,100`	0.476	0.524	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.476	0.524	0.000
rs7283054 lBF = `1.12404` Chr`21` : `31,519,307`	0.462	0.538	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.452	0.548	0.000
rs2834812 lBF = `1.53993` Chr`21` : `36,533,662`	0.436	0.564	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.429	0.570	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.417	0.583	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.401	0.599	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.390	0.610	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.383	0.617	0.000
rs8131653 lBF = `1.50705` Chr`21` : `45,644,684`	0.345	0.655	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.339	0.661	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.264	0.736	0.000
rs6517147 lBF = `0.281921` Chr`21` : `34,542,787`	0.240	0.760	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.229	0.771	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.225	0.774	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.207	0.793	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.207	0.793	0.000
rs1805128 lBF = `7.21284` Chr`21` : `35,821,680`	0.184	0.816	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.178	0.822	0.000
rs16998084 lBF = `5.36261` Chr`21` : `42,471,628`	0.168	0.832	0.000
rs7275212 lBF = `2.94756` Chr`21` : `39,852,551`	0.137	0.862	0.001
rs112643338 lBF = `0.293833` Chr`21` : `20,128,909`	0.131	0.868	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.121	0.877	0.002
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.103	0.897	0.000
rs118136136 lBF = `2.24787` Chr`21` : `35,274,965`	0.071	0.928	0.000
rs2833197 lBF = `0.0509782` Chr`21` : `32,407,116`	0.052	0.948	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.042	0.957	0.001
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.038	0.962	0.000
rs16994935 lBF = `0.065828` Chr`21` : `38,671,418`	0.034	0.966	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.029	0.967	0.004
rs145672791 lBF = `0.0301724` Chr`21` : `14,750,023`	0.031	0.969	0.000
rs17227203 lBF = `5.66998` Chr`21` : `36,415,707`	0.029	0.971	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.020	0.979	0.002
rs12483148 lBF = `-0.077018` Chr`21` : `37,013,621`	0.020	0.980	0.000
rs721146 lBF = `-0.0395564` Chr`21` : `25,913,239`	0.015	0.985	0.000
rs73185805 lBF = `2.62597` Chr`21` : `28,141,810`	0.014	0.986	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.011	0.987	0.002
rs9305354 lBF = `-0.0136521` Chr`21` : `29,475,196`	0.009	0.991	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.000	0.993	0.007
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.007	0.993	0.000
rs16992204 lBF = `0.00737991` Chr`21` : `36,111,201`	0.006	0.994	0.000
rs2014791 lBF = `-0.0600289` Chr`21` : `23,145,950`	0.006	0.994	0.000
rs78211511 lBF = `0.00428967` Chr`21` : `17,562,284`	0.004	0.996	0.000
rs1598848 lBF = `-0.0344972` Chr`21` : `28,946,276`	0.004	0.996	0.000
rs457352 lBF = `0.00520164` Chr`21` : `31,244,478`	0.004	0.996	0.000
rs2839398 lBF = `-0.00482842` Chr`21` : `43,286,352`	0.004	0.996	0.000
rs2839619 lBF = `-0.0807418` Chr`21` : `44,436,177`	0.000	0.997	0.003
rs12483240 lBF = `0.00933915` Chr`21` : `26,829,777`	0.000	0.997	0.003
rs117124364 lBF = `1.90172` Chr`21` : `34,369,761`	0.003	0.997	0.000
rs455804 lBF = `0.045419` Chr`21` : `31,146,169`	0.000	0.997	0.003
rs933117 lBF = `-0.0492371` Chr`21` : `31,100,797`	0.000	0.998	0.002
rs16994508 lBF = `0.200751` Chr`21` : `38,189,679`	0.002	0.998	0.000
rs2823093 lBF = `4.00125` Chr`21` : `16,520,832`	0.000	0.998	0.002
rs220262 lBF = `-0.0546408` Chr`21` : `43,482,046`	0.000	0.998	0.002
rs2826340 lBF = `-0.00087214` Chr`21` : `21,885,302`	0.002	0.998	0.000
rs2032314 lBF = `0.727556` Chr`21` : `35,354,523`	0.002	0.998	0.000
rs727333 lBF = `-0.0483779` Chr`21` : `41,702,947`	0.002	0.998	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.001	0.999	0.000
rs915832 lBF = `-0.0845599` Chr`21` : `43,275,495`	0.000	0.999	0.001
rs138755414 lBF = `0.01086` Chr`21` : `29,676,670`	0.001	0.999	0.000
rs16993221 lBF = `0.0000877` Chr`21` : `36,849,419`	0.001	0.999	0.000
rs4819143 lBF = `-0.0830092` Chr`21` : `47,124,178`	0.001	0.999	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.001	0.999	0.000
rs8133932 lBF = `-0.0830158` Chr`21` : `47,211,085`	0.001	0.999	0.000
rs78736162 lBF = `-0.0326747` Chr`21` : `42,740,488`	0.001	0.999	0.000
rs1547374 lBF = `-0.0571228` Chr`21` : `43,778,895`	0.001	0.999	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.001	0.999	0.000
rs147130662 lBF = `0.00000084` Chr`21` : `28,830,255`	0.001	0.999	0.000
rs189677472 lBF = `0` Chr`21` : `44,061,212`	0.001	0.999	0.001
rs142181472 lBF = `0` Chr`21` : `28,860,237`	0.001	0.999	0.001
rs75030518 lBF = `0` Chr`21` : `36,313,784`	0.001	0.999	0.001
rs142976294 lBF = `0` Chr`21` : `28,927,121`	0.001	0.999	0.001
rs141838403 lBF = `0` Chr`21` : `28,890,426`	0.001	0.999	0.001
rs142429672 lBF = `0` Chr`21` : `28,885,691`	0.001	0.999	0.001
rs139916902 lBF = `0` Chr`21` : `28,842,080`	0.001	0.999	0.001
rs186825689 lBF = `0` Chr`21` : `48,006,053`	0.001	0.999	0.001
rs139202427 lBF = `0` Chr`21` : `28,917,934`	0.001	0.999	0.001
rs4148112 lBF = `-0.00001042` Chr`21` : `43,650,776`	0.001	0.999	0.000
rs74880545 lBF = `7.69301` Chr`21` : `29,997,493`	0.001	0.999	0.000
rs1013063 lBF = `0.137067` Chr`21` : `35,698,390`	0.001	0.999	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.001	0.999	0.000
rs4818048 lBF = `1.46255` Chr`21` : `40,908,952`	0.001	0.999	0.000
rs4819388 lBF = `-0.0644269` Chr`21` : `45,647,421`	0.001	0.999	0.000
rs1735151 lBF = `0.0406235` Chr`21` : `41,123,301`	0.000	0.999	0.001
rs451390 lBF = `-0.00398124` Chr`21` : `43,343,510`	0.001	0.999	0.000
rs2839440 lBF = `-0.0607027` Chr`21` : `43,443,498`	0.000	0.999	0.001
rs9975325 lBF = `0.0364471` Chr`21` : `29,691,222`	0.001	0.999	0.000
rs7279297 lBF = `-0.0697537` Chr`21` : `43,227,915`	0.001	0.999	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.001	0.999	0.000
rs378108 lBF = `2.69278` Chr`21` : `40,469,520`	0.001	0.999	0.000
rs2822388 lBF = `-0.0162385` Chr`21` : `15,408,034`	0.001	0.999	0.000
rs6586282 lBF = `0.0701648` Chr`21` : `44,478,497`	0.001	0.999	0.000
rs1892700 lBF = `0.0127465` Chr`21` : `35,016,137`	0.001	0.999	0.000
rs372883 lBF = `-0.112087` Chr`21` : `30,717,737`	0.000	0.999	0.001
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.000	0.999	0.000
rs363512 lBF = `-0.00324042` Chr`21` : `31,050,817`	0.001	0.999	0.000
rs8134605 lBF = `-0.00482388` Chr`21` : `32,304,266`	0.000	0.999	0.000
rs2839627 lBF = `-0.060477` Chr`21` : `44,448,718`	0.001	0.999	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.001	0.999	0.000
rs7281388 lBF = `6.02014` Chr`21` : `47,398,647`	0.000	0.999	0.001
rs57126985 lBF = `-0.0092976` Chr`21` : `16,590,032`	0.001	0.999	0.000
rs13046373 lBF = `-0.10425` Chr`21` : `32,060,490`	0.001	0.999	0.000
rs73199525 lBF = `-0.0135623` Chr`21` : `32,884,848`	0.000	0.999	0.001
rs2823455 lBF = `0.709971` Chr`21` : `17,069,166`	0.000	0.999	0.000
rs2409317 lBF = `-0.00559775` Chr`21` : `30,074,424`	0.000	0.999	0.000
rs8128234 lBF = `0.43771` Chr`21` : `36,470,865`	0.000	0.999	0.000
rs2205299 lBF = `0.129349` Chr`21` : `18,206,630`	0.000	0.999	0.000
rs425215 lBF = `-0.100826` Chr`21` : `43,707,101`	0.001	0.999	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	1.000	0.000
rs17001239 lBF = `0.0773098` Chr`21` : `27,002,377`	0.000	1.000	0.000
rs147991290 lBF = `0.0194318` Chr`21` : `34,088,470`	0.000	1.000	0.000
rs881827 lBF = `-0.0773203` Chr`21` : `48,019,868`	0.000	1.000	0.000
rs28456019 lBF = `-0.00475793` Chr`21` : `32,401,130`	0.000	1.000	0.000
rs1297258 lBF = `4.38603` Chr`21` : `16,806,709`	0.000	1.000	0.000
rs1736020 lBF = `4.26685` Chr`21` : `16,812,552`	0.000	1.000	0.000
rs2823779 lBF = `1.55455` Chr`21` : `17,768,524`	0.000	1.000	0.000
rs4816890 lBF = `-0.104407` Chr`21` : `24,420,502`	0.000	1.000	0.000
rs75884327 lBF = `-0.035947` Chr`21` : `40,491,320`	0.000	1.000	0.000
rs1736135 lBF = `4.38257` Chr`21` : `16,805,220`	0.000	1.000	0.000
rs2835345 lBF = `1.75696` Chr`21` : `37,801,434`	0.000	1.000	0.000
rs727957 lBF = `-0.0780552` Chr`21` : `35,880,072`	0.000	1.000	0.000
rs16978810 lBF = `0.22043` Chr`21` : `47,488,332`	0.000	1.000	0.000
rs2834629 lBF = `-0.0118618` Chr`21` : `36,125,818`	0.000	1.000	0.000
rs2833991 lBF = `-0.0236283` Chr`21` : `34,262,687`	0.000	1.000	0.000
rs11700462 lBF = `0.0424012` Chr`21` : `38,817,812`	0.000	1.000	0.000
rs2154427 lBF = `0.0278154` Chr`21` : `34,168,573`	0.000	1.000	0.000
rs1475591 lBF = `-0.00289356` Chr`21` : `32,440,540`	0.000	1.000	0.000
rs2823357 lBF = `-0.0652705` Chr`21` : `16,914,905`	0.000	1.000	0.000
rs2776353 lBF = `8.94721` Chr`21` : `43,089,017`	0.000	1.000	0.000
rs62229266 lBF = `0.39816` Chr`21` : `37,460,271`	0.000	1.000	0.000
rs2192161 lBF = `0.0159299` Chr`21` : `15,681,994`	0.000	1.000	0.000
rs9983044 lBF = `-0.0109852` Chr`21` : `36,416,332`	0.000	1.000	0.000
rs457603 lBF = `-0.0251934` Chr`21` : `28,657,949`	0.000	1.000	0.000
rs240444 lBF = `-0.0457575` Chr`21` : `11,002,011`	0.000	1.000	0.000
rs2836425 lBF = `-0.0525586` Chr`21` : `39,838,825`	0.000	1.000	0.000
rs2851391 lBF = `-0.0762453` Chr`21` : `44,487,404`	0.000	1.000	0.000
rs2828520 lBF = `-0.0847883` Chr`21` : `25,143,119`	0.000	1.000	0.000
rs2075876 lBF = `0.143865` Chr`21` : `45,709,153`	0.000	1.000	0.000
rs9976946 lBF = `-0.00652189` Chr`21` : `36,208,062`	0.000	1.000	0.000
rs857551 lBF = `-0.0317863` Chr`21` : `44,829,992`	0.000	1.000	0.000
rs875125 lBF = `-0.0368883` Chr`21` : `46,129,686`	0.000	1.000	0.000
rs2834902 lBF = `-0.0783849` Chr`21` : `36,688,528`	0.000	1.000	0.000
rs112591243 lBF = `0.325183` Chr`21` : `47,718,796`	0.000	1.000	0.000
rs2833693 lBF = `-0.0392987` Chr`21` : `33,552,512`	0.000	1.000	0.000
rs1789953 lBF = `-0.0666517` Chr`21` : `44,482,936`	0.000	1.000	0.000
rs1888414 lBF = `-0.0725322` Chr`21` : `21,777,730`	0.000	1.000	0.000
rs9979250 lBF = `0.727665` Chr`21` : `40,283,733`	0.000	1.000	0.000
rs2268241 lBF = `0.401969` Chr`21` : `34,781,050`	0.000	1.000	0.000
rs2229741 lBF = `-0.0954824` Chr`21` : `16,340,289`	0.000	1.000	0.000
rs459482 lBF = `-0.106186` Chr`21` : `42,793,791`	0.000	1.000	0.000
rs17744121 lBF = `5.69352` Chr`21` : `30,713,598`	0.000	1.000	0.000
rs79985863 lBF = `0.0973103` Chr`21` : `46,906,710`	0.000	1.000	0.000
rs4148087 lBF = `0.00420442` Chr`21` : `43,622,267`	0.000	1.000	0.000
rs2014300 lBF = `-0.0544318` Chr`21` : `36,357,861`	0.000	1.000	0.000
rs2836823 lBF = `-0.0591825` Chr`21` : `40,380,249`	0.000	1.000	0.000
rs11911275 lBF = `-0.119655` Chr`21` : `44,593,140`	0.000	1.000	0.000
rs55706246 lBF = `2.16084` Chr`21` : `35,595,637`	0.000	1.000	0.000
rs9979235 lBF = `0.031391` Chr`21` : `44,156,769`	0.000	1.000	0.000
rs78015114 lBF = `-0.0344031` Chr`21` : `20,312,612`	0.000	1.000	0.000
rs9305556 lBF = `-0.0861211` Chr`21` : `36,014,908`	0.000	1.000	0.000
rs28451064 lBF = `42.9569` Chr`21` : `35,593,827`	0.000	1.000	0.000
rs79158929 lBF = `11.5913` Chr`21` : `35,682,958`	0.000	1.000	0.000
rs2150410 lBF = `0.0583735` Chr`21` : `40,569,779`	0.000	1.000	0.000
rs73194058 lBF = `0.00304808` Chr`21` : `34,764,288`	0.000	1.000	0.000
rs234709 lBF = `-0.0381838` Chr`21` : `44,486,964`	0.000	1.000	0.000
rs2823053 lBF = `-0.0542112` Chr`21` : `16,465,149`	0.000	1.000	0.000
rs2833556 lBF = `0.00409185` Chr`21` : `33,285,300`	0.000	1.000	0.000
rs61550741 lBF = `-0.00079435` Chr`21` : `32,506,284`	0.000	1.000	0.000
rs2837960 lBF = `-0.00220077` Chr`21` : `42,511,918`	0.000	1.000	0.000
rs2055011 lBF = `-0.00966066` Chr`21` : `19,481,354`	0.000	1.000	0.000
rs74795342 lBF = `-0.0164899` Chr`21` : `20,326,336`	0.000	1.000	0.000
rs10854398 lBF = `-0.0749246` Chr`21` : `41,021,752`	0.000	1.000	0.000
rs2838923 lBF = `-0.0840258` Chr`21` : `46,846,944`	0.000	1.000	0.000
rs7276739 lBF = `7.64565` Chr`21` : `35,588,864`	0.000	1.000	0.000
rs1297265 lBF = `4.21826` Chr`21` : `16,817,051`	0.000	1.000	0.000
rs2836950 lBF = `0.735886` Chr`21` : `40,604,429`	0.000	1.000	0.000
rs57996174 lBF = `0.118538` Chr`21` : `34,837,048`	0.000	1.000	0.000
rs427943 lBF = `-0.0176839` Chr`21` : `46,570,896`	0.000	1.000	0.000
rs9980664 lBF = `-0.021529` Chr`21` : `34,734,510`	0.000	1.000	0.000
rs3804024 lBF = `-0.0315963` Chr`21` : `41,993,707`	0.000	1.000	0.000
rs458685 lBF = `-0.0625465` Chr`21` : `31,177,511`	0.000	1.000	0.000
rs2849691 lBF = `6.2942` Chr`21` : `43,086,070`	0.000	1.000	0.000
rs11088226 lBF = `0.133914` Chr`21` : `33,925,531`	0.000	1.000	0.000
rs914187 lBF = `0.12414` Chr`21` : `42,619,749`	0.000	1.000	0.000
rs2837857 lBF = `-0.0138956` Chr`21` : `42,216,955`	0.000	1.000	0.000
rs9981861 lBF = `-0.0218782` Chr`21` : `41,415,044`	0.000	1.000	0.000
rs9984974 lBF = `-0.0498674` Chr`21` : `37,809,377`	0.000	1.000	0.000
rs2832077 lBF = `-0.0553533` Chr`21` : `30,141,021`	0.000	1.000	0.000
rs1452093 lBF = `-0.0754478` Chr`21` : `28,744,356`	0.000	1.000	0.000
rs9977499 lBF = `-0.0810928` Chr`21` : `28,734,997`	0.000	1.000	0.000
rs17750460 lBF = `8.95898` Chr`21` : `30,745,615`	0.000	1.000	0.000
rs6517656 lBF = `0.277616` Chr`21` : `42,583,738`	0.000	1.000	0.000
rs2833610 lBF = `0.160939` Chr`21` : `33,385,186`	0.000	1.000	0.000
rs2827025 lBF = `0.114049` Chr`21` : `23,144,602`	0.000	1.000	0.000
rs2226441 lBF = `0.0905002` Chr`21` : `23,141,845`	0.000	1.000	0.000
rs2838815 lBF = `0.0101966` Chr`21` : `46,629,590`	0.000	1.000	0.000
rs6517368 lBF = `0.00099417` Chr`21` : `38,007,943`	0.000	1.000	0.000
rs11088872 lBF = `-0.0384848` Chr`21` : `23,033,104`	0.000	1.000	0.000
rs2823819 lBF = `-0.0470458` Chr`21` : `17,828,291`	0.000	1.000	0.000
rs496300 lBF = `-0.04852` Chr`21` : `44,779,680`	0.000	1.000	0.000
rs2830487 lBF = `-0.11195` Chr`21` : `28,146,189`	0.000	1.000	0.000
rs9982601 lBF = `30.0006` Chr`21` : `35,599,128`	0.000	1.000	0.000
rs2834442 lBF = `2.718` Chr`21` : `35,690,786`	0.000	1.000	0.000
rs1475911 lBF = `0.417681` Chr`21` : `43,513,480`	0.000	1.000	0.000
rs4818225 lBF = `0.171213` Chr`21` : `42,629,895`	0.000	1.000	0.000
rs743446 lBF = `0.0974998` Chr`21` : `40,056,423`	0.000	1.000	0.000
rs2823048 lBF = `0.00308356` Chr`21` : `16,462,268`	0.000	1.000	0.000
rs580140 lBF = `-0.0342` Chr`21` : `32,817,507`	0.000	1.000	0.000
rs2832270 lBF = `-0.034884` Chr`21` : `30,594,532`	0.000	1.000	0.000
rs9977253 lBF = `-0.0446382` Chr`21` : `26,645,083`	0.000	1.000	0.000
rs2838088 lBF = `-0.0551434` Chr`21` : `43,092,201`	0.000	1.000	0.000
rs8129913 lBF = `-0.0599569` Chr`21` : `27,064,339`	0.000	1.000	0.000
rs2298450 lBF = `-0.0708057` Chr`21` : `37,623,447`	0.000	1.000	0.000
rs2823743 lBF = `-0.0732029` Chr`21` : `17,667,720`	0.000	1.000	0.000
rs2835810 lBF = `0.176405` Chr`21` : `38,932,778`	0.000	1.000	0.000
rs8127571 lBF = `0.0270023` Chr`21` : `47,165,429`	0.000	1.000	0.000
rs2822687 lBF = `-0.00244182` Chr`21` : `15,853,435`	0.000	1.000	0.000
rs1006899 lBF = `-0.0285462` Chr`21` : `15,845,052`	0.000	1.000	0.000
rs4293630 lBF = `-0.0400741` Chr`21` : `47,445,791`	0.000	1.000	0.000
rs2834655 lBF = `-0.0675413` Chr`21` : `36,238,507`	0.000	1.000	0.000
rs2826659 lBF = `-0.0731005` Chr`21` : `22,487,854`	0.000	1.000	0.000
rs234720 lBF = `-0.0839953` Chr`21` : `44,445,292`	0.000	1.000	0.000
rs67900830 lBF = `-0.0864751` Chr`21` : `44,615,872`	0.000	1.000	0.000
rs2834188 lBF = `0.979999` Chr`21` : `34,689,253`	0.000	1.000	0.000
rs2836326 lBF = `0.711281` Chr`21` : `39,721,764`	0.000	1.000	0.000
rs7282490 lBF = `0.498175` Chr`21` : `45,615,741`	0.000	1.000	0.000
rs12483205 lBF = `0.304471` Chr`21` : `38,740,824`	0.000	1.000	0.000
rs441810 lBF = `0.234223` Chr`21` : `42,698,907`	0.000	1.000	0.000
rs13048019 lBF = `0.203771` Chr`21` : `32,918,294`	0.000	1.000	0.000
rs982274 lBF = `0.123226` Chr`21` : `19,479,731`	0.000	1.000	0.000
rs9984896 lBF = `0.10604` Chr`21` : `37,935,669`	0.000	1.000	0.000
rs242364 lBF = `0.0481487` Chr`21` : `28,890,132`	0.000	1.000	0.000
rs9305406 lBF = `-0.032338` Chr`21` : `31,386,243`	0.000	1.000	0.000
rs234714 lBF = `-0.0455752` Chr`21` : `44,488,033`	0.000	1.000	0.000
rs7279441 lBF = `-0.0493456` Chr`21` : `24,198,815`	0.000	1.000	0.000
rs4818184 lBF = `-0.0557485` Chr`21` : `42,202,431`	0.000	1.000	0.000
rs16991453 lBF = `12.1322` Chr`21` : `35,647,104`	0.000	1.000	0.000
rs9974878 lBF = `11.6455` Chr`21` : `35,642,446`	0.000	1.000	0.000
rs2834435 lBF = `11.0645` Chr`21` : `35,647,853`	0.000	1.000	0.000
rs2834431 lBF = `9.37156` Chr`21` : `35,644,228`	0.000	1.000	0.000
rs9978142 lBF = `9.28145` Chr`21` : `35,652,239`	0.000	1.000	0.000
rs11203203 lBF = `1.81255` Chr`21` : `43,836,186`	0.000	1.000	0.000
rs8127691 lBF = `1.52837` Chr`21` : `45,614,860`	0.000	1.000	0.000
rs762421 lBF = `1.4046` Chr`21` : `45,615,561`	0.000	1.000	0.000
rs2838519 lBF = `0.725029` Chr`21` : `45,615,023`	0.000	1.000	0.000
rs460214 lBF = `0.362655` Chr`21` : `40,006,081`	0.000	1.000	0.000
rs2823286 lBF = `0.148951` Chr`21` : `16,817,938`	0.000	1.000	0.000
rs9982370 lBF = `0.04947` Chr`21` : `39,865,855`	0.000	1.000	0.000
rs3788013 lBF = `-0.0145564` Chr`21` : `43,841,328`	0.000	1.000	0.000
rs7435 lBF = `-0.0303864` Chr`21` : `45,404,338`	0.000	1.000	0.000
rs2823962 lBF = `-0.0606502` Chr`21` : `18,046,232`	0.000	1.000	0.000
rs2828785 lBF = `-0.0789514` Chr`21` : `25,437,505`	0.000	1.000	0.000
rs914189 lBF = `-0.0869981` Chr`21` : `43,710,909`	0.000	1.000	0.000
rs363598 lBF = `-0.102772` Chr`21` : `31,013,159`	0.000	1.000	0.000
rs1735884 lBF = `-0.107025` Chr`21` : `21,820,408`	0.000	1.000	0.000
rs9982672 lBF = `11.9641` Chr`21` : `35,657,043`	0.000	1.000	0.000
rs219780 lBF = `6.95723` Chr`21` : `37,833,307`	0.000	1.000	0.000
rs2836974 lBF = `1.76446` Chr`21` : `40,663,181`	0.000	1.000	0.000
rs11700808 lBF = `0.530252` Chr`21` : `20,238,855`	0.000	1.000	0.000
rs170183 lBF = `0.520514` Chr`21` : `37,848,334`	0.000	1.000	0.000
rs2828478 lBF = `0.508575` Chr`21` : `25,105,211`	0.000	1.000	0.000
rs2832191 lBF = `0.0510475` Chr`21` : `30,489,300`	0.000	1.000	0.000
rs2825388 lBF = `-0.0177098` Chr`21` : `20,536,649`	0.000	1.000	0.000
rs9976767 lBF = `-0.0310062` Chr`21` : `43,836,390`	0.000	1.000	0.000
rs2830840 lBF = `-0.0316523` Chr`21` : `28,665,347`	0.000	1.000	0.000
rs2833607 lBF = `-0.0373192` Chr`21` : `33,381,040`	0.000	1.000	0.000
rs2284553 lBF = `-0.0519589` Chr`21` : `34,776,695`	0.000	1.000	0.000
rs2833522 lBF = `-0.0667896` Chr`21` : `33,179,371`	0.000	1.000	0.000
rs9975691 lBF = `-0.0954731` Chr`21` : `14,928,355`	0.000	1.000	0.000
rs8127977 lBF = `-0.0978804` Chr`21` : `26,826,514`	0.000	1.000	0.000
rs2837253 lBF = `-0.10686` Chr`21` : `41,221,256`	0.000	1.000	0.000
rs2836882 lBF = `15.1324` Chr`21` : `40,466,570`	0.000	1.000	0.000
rs2836883 lBF = `15.0723` Chr`21` : `40,466,744`	0.000	1.000	0.000
rs9808651 lBF = `14.9638` Chr`21` : `40,466,468`	0.000	1.000	0.000
rs4817986 lBF = `14.8584` Chr`21` : `40,465,512`	0.000	1.000	0.000
rs2836878 lBF = `14.682` Chr`21` : `40,465,534`	0.000	1.000	0.000
rs219776 lBF = `10.3337` Chr`21` : `37,834,835`	0.000	1.000	0.000
rs8133843 lBF = `2.07497` Chr`21` : `36,738,242`	0.000	1.000	0.000
rs1893592 lBF = `1.92566` Chr`21` : `43,855,067`	0.000	1.000	0.000
rs45430 lBF = `0.51098` Chr`21` : `42,746,081`	0.000	1.000	0.000
rs1209950 lBF = `0.0382876` Chr`21` : `40,173,528`	0.000	1.000	0.000
rs2834215 lBF = `0.028894` Chr`21` : `34,796,886`	0.000	1.000	0.000
rs220299 lBF = `0.00177075` Chr`21` : `43,502,762`	0.000	1.000	0.000
rs643608 lBF = `-0.00745327` Chr`21` : `44,768,562`	0.000	1.000	0.000
rs8133949 lBF = `-0.0229439` Chr`21` : `43,421,114`	0.000	1.000	0.000
rs2836770 lBF = `-0.0345351` Chr`21` : `40,314,704`	0.000	1.000	0.000
rs4817775 lBF = `-0.04216` Chr`21` : `37,485,062`	0.000	1.000	0.000
rs2154490 lBF = `-0.0662055` Chr`21` : `30,915,962`	0.000	1.000	0.000
rs2837828 lBF = `-0.0717683` Chr`21` : `42,174,960`	0.000	1.000	0.000
rs614092 lBF = `-0.0733539` Chr`21` : `29,182,773`	0.000	1.000	0.000
rs9977018 lBF = `-0.0792935` Chr`21` : `43,036,969`	0.000	1.000	0.000
rs2836751 lBF = `-0.0823765` Chr`21` : `40,290,959`	0.000	1.000	0.000
rs2836754 lBF = `-0.0832655` Chr`21` : `40,291,740`	0.000	1.000	0.000
rs2823615 lBF = `-0.116722` Chr`21` : `17,483,133`	0.000	1.000	0.000
rs2410182 lBF = `-0.121619` Chr`21` : `41,180,076`	0.000	1.000	0.000
rs2242944 lBF = `7.22632` Chr`21` : `40,465,178`	0.000	1.000	0.000
rs1041449 lBF = `0.0766488` Chr`21` : `42,901,421`	0.000	1.000	0.000
rs3787751 lBF = `0.0508496` Chr`21` : `38,160,163`	0.000	1.000	0.000
rs1734920 lBF = `0.00379406` Chr`21` : `41,344,911`	0.000	1.000	0.000
rs2839186 lBF = `-0.00779405` Chr`21` : `47,690,068`	0.000	1.000	0.000
rs9305339 lBF = `-0.0168166` Chr`21` : `29,275,627`	0.000	1.000	0.000
rs222158 lBF = `-0.031462` Chr`21` : `27,872,161`	0.000	1.000	0.000
rs6517329 lBF = `-0.0517081` Chr`21` : `37,481,477`	0.000	1.000	0.000
rs11910494 lBF = `-0.0751362` Chr`21` : `33,296,113`	0.000	1.000	0.000
rs2826891 lBF = `-0.0771127` Chr`21` : `22,910,116`	0.000	1.000	0.000
rs9975851 lBF = `-0.0786483` Chr`21` : `27,716,654`	0.000	1.000	0.000
rs1003719 lBF = `-0.0942392` Chr`21` : `38,491,095`	0.000	1.000	0.000
rs9980603 lBF = `-0.0946074` Chr`21` : `41,886,583`	0.000	1.000	0.000
rs2827312 lBF = `-0.0971242` Chr`21` : `23,631,676`	0.000	1.000	0.000
rs7283316 lBF = `-0.136982` Chr`21` : `32,216,253`	0.000	1.000	0.000

This table lists the top 335 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 X0116

log Bayes Factor = 12.7289

contains 3 variants

0.9883

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.7113

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.4751

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3062

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.1221

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0022

log Bayes Factor = 66.3421

contains 6 variants

1.0000

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9967

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.9948

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9934

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9930

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.9891

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9886

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9873

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9867

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9839

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9820

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9732

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.9711

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9594

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9564

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9548

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9543

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9510

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9430

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9373

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9226

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9220

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9161

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9095

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8997

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.8979

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8827

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8808

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8782

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8777

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8587

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8539

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8530

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8517

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8506

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8492

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8449

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8376

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8355

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8243

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8221

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8196

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8174

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8167

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8167

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8150

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8141

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8120

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8105

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7970

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7964

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7894

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7831

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7763

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7612

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7493

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7465

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7352

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7338

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7335

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7313

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7241

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7239

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7205

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7035

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6993

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6981

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6981

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6866

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6865

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6787

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6598

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6569

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6513

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6479

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6424

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6423

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6359

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6211

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.6196

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6144

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6110

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6100

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6066

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6017

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5937

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5819

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5748

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5713

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5686

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5566

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5563

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5532

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5476

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5404

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5339

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5261

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5236

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5188

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5183

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5089

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5028

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4873

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4829

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4737

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4598

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4591

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4551

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4508

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4440

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4111

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4061

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4046

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.3819

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3814

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3756

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3729

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3473

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3398

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3395

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3390

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3301

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3290

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3237

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3195

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3029

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3007

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2806

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2755

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2743

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2714

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2683

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2676

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2649

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2644

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2641

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2627

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2594

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2208

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2168

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2090

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2052

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1717

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1682

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1410

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1409

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1402

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1377

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1352

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1352

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1225

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1176

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1158

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1063

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0992

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0894

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0841

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0836

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0821

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0817

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0775

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0759

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0686

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0670

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0634

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0614

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0611

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.0605

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0603

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0603

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0501

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`)