TreeWAS – [Z99] Dependence on enabling machines and devices, not elsewhere classified

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
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.866	0.134	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.858	0.142	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.849	0.151	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.844	0.156	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.827	0.173	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.825	0.175	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.803	0.197	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.776	0.224	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.763	0.237	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.738	0.262	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.729	0.271	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.712	0.288	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.692	0.308	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.681	0.319	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.672	0.328	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.670	0.330	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.659	0.341	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.656	0.344	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.643	0.357	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.642	0.358	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.640	0.360	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.616	0.384	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.610	0.390	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.572	0.428	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.523	0.477	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.505	0.495	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.485	0.515	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.429	0.571	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.412	0.588	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.391	0.609	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.356	0.643	0.001
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.341	0.659	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.281	0.718	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.271	0.728	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.269	0.731	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.218	0.782	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.196	0.804	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.166	0.834	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.139	0.861	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.138	0.862	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.120	0.880	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.109	0.891	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.102	0.898	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.081	0.919	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.079	0.921	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.078	0.922	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.076	0.923	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.064	0.936	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.044	0.955	0.000
rs4368243 lBF = `0.00166281` Chr`18` : `38,383,483`	0.000	0.957	0.043
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.036	0.964	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.029	0.971	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.023	0.977	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.023	0.977	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.020	0.980	0.000
rs9947295 lBF = `0.00305306` Chr`18` : `11,759,432`	0.015	0.985	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.015	0.985	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.015	0.985	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.014	0.986	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.012	0.988	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.011	0.989	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.011	0.989	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.009	0.991	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.009	0.991	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.008	0.992	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.007	0.993	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.007	0.993	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.007	0.993	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.006	0.994	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.006	0.994	0.000
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.994	0.005
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.005	0.995	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.005	0.995	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.004	0.996	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.004	0.996	0.000
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.004	0.996	0.000
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.004	0.996	0.000
rs4368253 lBF = `0.4764` Chr`18` : `57,622,287`	0.000	0.996	0.004
rs2729409 lBF = `-0.0291495` Chr`18` : `28,141,688`	0.003	0.997	0.000
rs1619249 lBF = `-0.0439138` Chr`18` : `49,190,644`	0.000	0.997	0.003
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.002	0.998	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.002	0.998	0.000
rs2278331 lBF = `0.0445296` Chr`18` : `71,581,506`	0.000	0.998	0.002
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.002	0.998	0.000
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.000	0.998	0.002
rs1623523 lBF = `0.103815` Chr`18` : `3,328,746`	0.002	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.000	0.998	0.002
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.002	0.998	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.002	0.998	0.000
rs7233332 lBF = `-0.0206989` Chr`18` : `9,784,914`	0.000	0.998	0.002
rs2155929 lBF = `5.09992` Chr`18` : `26,606,647`	0.000	0.998	0.002
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.998	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.001	0.998	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.998	0.001
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.002	0.998	0.000
rs7240405 lBF = `0.0955091` Chr`18` : `47,159,090`	0.000	0.998	0.002
rs7236632 lBF = `-0.0485542` Chr`18` : `55,434,202`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs2156552 lBF = `0.0253551` Chr`18` : `47,181,668`	0.000	0.999	0.001
rs4939883 lBF = `0.00113261` Chr`18` : `47,167,214`	0.000	0.999	0.001
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs9675861 lBF = `-0.00714888` Chr`18` : `7,172,523`	0.001	0.999	0.000
rs8092443 lBF = `-0.0494088` Chr`18` : `68,142,414`	0.000	0.999	0.001
rs2168303 lBF = `0.00005588` Chr`18` : `58,375,934`	0.001	0.999	0.000
rs7241918 lBF = `0.132748` Chr`18` : `47,160,953`	0.000	0.999	0.001
rs2111836 lBF = `0.0817147` Chr`18` : `8,716,321`	0.000	0.999	0.001
rs12455580 lBF = `-0.0955612` Chr`18` : `75,638,023`	0.001	0.999	0.000
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.001	0.999	0.000
rs9950590 lBF = `0.00003279` Chr`18` : `8,043,661`	0.001	0.999	0.000
rs138098194 lBF = `0` Chr`18` : `64,507,408`	0.001	0.999	0.001
rs141475580 lBF = `0` Chr`18` : `5,936,481`	0.001	0.999	0.001
rs146111930 lBF = `0` Chr`18` : `25,262,370`	0.001	0.999	0.001
rs116989867 lBF = `0` Chr`18` : `77,172,316`	0.001	0.999	0.001
rs75433892 lBF = `0` Chr`18` : `11,712,922`	0.001	0.999	0.001
rs141318925 lBF = `0` Chr`18` : `6,623,040`	0.001	0.999	0.001
rs148133787 lBF = `0` Chr`18` : `25,227,459`	0.001	0.999	0.001
rs184167040 lBF = `0` Chr`18` : `39,038,041`	0.001	0.999	0.001
rs190650493 lBF = `0` Chr`18` : `30,625,009`	0.001	0.999	0.001
rs9948784 lBF = `0` Chr`18` : `72,897,161`	0.001	0.999	0.001
rs148187869 lBF = `0` Chr`18` : `25,261,838`	0.001	0.999	0.001
rs190343823 lBF = `0` Chr`18` : `33,835,336`	0.001	0.999	0.001
rs192178588 lBF = `0` Chr`18` : `25,223,007`	0.001	0.999	0.001
rs148138116 lBF = `0` Chr`18` : `53,201,480`	0.001	0.999	0.001
rs145717157 lBF = `0` Chr`18` : `26,713,277`	0.001	0.999	0.001
rs77741790 lBF = `-0.00001874` Chr`18` : `6,894,475`	0.000	0.999	0.001
rs76752096 lBF = `-0.0000229` Chr`18` : `25,137,059`	0.000	0.999	0.001
rs9953852 lBF = `-0.0000316` Chr`18` : `33,097,960`	0.001	0.999	0.000
rs7243299 lBF = `-0.00003336` Chr`18` : `7,755,771`	0.001	0.999	0.000
rs11152369 lBF = `0.448202` Chr`18` : `53,066,328`	0.001	0.999	0.000
rs2187375 lBF = `0.0745483` Chr`18` : `47,172,283`	0.000	0.999	0.001
rs11082438 lBF = `0.212302` Chr`18` : `42,865,210`	0.001	0.999	0.000
rs10438978 lBF = `0.0708836` Chr`18` : `47,158,186`	0.000	0.999	0.001
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.001	0.999	0.000
rs8098064 lBF = `-0.00017223` Chr`18` : `8,209,269`	0.001	0.999	0.000
rs17594526 lBF = `0.69701` Chr`18` : `53,058,238`	0.001	0.999	0.000
rs11663206 lBF = `-0.05517` Chr`18` : `68,153,620`	0.001	0.999	0.000
rs72932713 lBF = `10.0951` Chr`18` : `53,186,911`	0.001	0.999	0.000
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.000	0.999	0.001
rs17750321 lBF = `0.00425969` Chr`18` : `35,078,682`	0.001	0.999	0.000
rs8093502 lBF = `-0.0777335` Chr`18` : `70,285,457`	0.000	0.999	0.001
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.001	0.999	0.000
rs55916387 lBF = `1.32445` Chr`18` : `31,246,244`	0.000	0.999	0.001
rs6507939 lBF = `0.224144` Chr`18` : `47,176,261`	0.000	0.999	0.001
rs8087073 lBF = `0.0584845` Chr`18` : `2,967,845`	0.000	0.999	0.001
rs1879352 lBF = `-0.0341833` Chr`18` : `2,498,054`	0.000	0.999	0.001
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.001	0.999	0.000
rs7226408 lBF = `-0.0493902` Chr`18` : `34,371,861`	0.000	0.999	0.001
rs12970066 lBF = `-0.0639604` Chr`18` : `47,107,152`	0.000	0.999	0.001
rs17194666 lBF = `-0.07569` Chr`18` : `73,089,377`	0.000	0.999	0.001
rs10503019 lBF = `0.0660409` Chr`18` : `55,454,377`	0.001	0.999	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.001	0.999	0.000
rs77990856 lBF = `-0.0225233` Chr`18` : `48,016,887`	0.000	0.999	0.001
rs1995138 lBF = `-0.0203531` Chr`18` : `51,526,568`	0.001	0.999	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.001	0.999	0.000
rs4890568 lBF = `1.51705` Chr`18` : `43,231,622`	0.001	0.999	0.000
rs2660917 lBF = `0.143926` Chr`18` : `68,628,078`	0.000	0.999	0.001
rs17232800 lBF = `0.0431282` Chr`18` : `66,292,259`	0.000	0.999	0.001
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	0.999	0.001
rs9304270 lBF = `1.42842` Chr`18` : `39,937,509`	0.000	0.999	0.001
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.001	0.999	0.000
rs35815903 lBF = `-0.00326249` Chr`18` : `69,274,571`	0.001	0.999	0.000
rs2639990 lBF = `0.00060051` Chr`18` : `72,915,551`	0.000	0.999	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.000	1.000	0.000
rs1631486 lBF = `4.08365` Chr`18` : `53,026,357`	0.000	1.000	0.000
rs7504990 lBF = `0.0630291` Chr`18` : `50,517,776`	0.000	1.000	0.000
rs1618992 lBF = `0.12992` Chr`18` : `26,246,051`	0.000	1.000	0.000
rs13381277 lBF = `-0.00572016` Chr`18` : `74,318,610`	0.000	1.000	0.000
rs57440971 lBF = `0.00323038` Chr`18` : `120,296`	0.000	1.000	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.000	1.000	0.000
rs62091368 lBF = `0.133303` Chr`18` : `514,471`	0.000	1.000	0.000
rs1420956 lBF = `-0.0952534` Chr`18` : `25,167,945`	0.000	1.000	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.000	1.000	0.000
rs11082304 lBF = `0.0118008` Chr`18` : `20,720,973`	0.000	1.000	0.000
rs8088420 lBF = `-0.0330147` Chr`18` : `56,511,908`	0.000	1.000	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.000	1.000	0.000
rs7240206 lBF = `-0.0215768` Chr`18` : `74,435,154`	0.000	1.000	0.000
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.000	1.000	0.000
rs768048 lBF = `0.0126005` Chr`18` : `50,285,398`	0.000	1.000	0.000
rs2864527 lBF = `-0.00619084` Chr`18` : `9,288,456`	0.000	1.000	0.000
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.000	1.000	0.000
rs17512836 lBF = `1.35567` Chr`18` : `53,194,961`	0.000	1.000	0.000
rs28498503 lBF = `-0.058068` Chr`18` : `76,662,955`	0.000	1.000	0.000
rs403814 lBF = `-0.0540524` Chr`18` : `6,282,593`	0.000	1.000	0.000
rs10513968 lBF = `-0.0867442` Chr`18` : `67,283,141`	0.000	1.000	0.000
rs144081173 lBF = `0.0948435` Chr`18` : `47,245,225`	0.000	1.000	0.000
rs12607903 lBF = `0.0606153` Chr`18` : `3,817,134`	0.000	1.000	0.000
rs589398 lBF = `0.0353588` Chr`18` : `5,311,892`	0.000	1.000	0.000
rs1970671 lBF = `0.025975` Chr`18` : `52,863,108`	0.000	1.000	0.000
rs12955474 lBF = `-0.0227347` Chr`18` : `57,152,038`	0.000	1.000	0.000
rs41452747 lBF = `6.20014` Chr`18` : `52,918,380`	0.000	1.000	0.000
rs11564386 lBF = `0.195996` Chr`18` : `25,700,791`	0.000	1.000	0.000
rs12961799 lBF = `0.0175059` Chr`18` : `12,904,399`	0.000	1.000	0.000
rs16950303 lBF = `-0.00279929` Chr`18` : `46,582,359`	0.000	1.000	0.000
rs1261117 lBF = `-0.00693224` Chr`18` : `52,949,657`	0.000	1.000	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.000	1.000	0.000
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.000	1.000	0.000
rs3786431 lBF = `0.862458` Chr`18` : `3,814,148`	0.000	1.000	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.000	1.000	0.000
rs114535501 lBF = `0.141157` Chr`18` : `65,470,749`	0.000	1.000	0.000
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rs12454023 lBF = `-0.0648155` Chr`18` : `56,009,604`	0.000	1.000	0.000
rs1893154 lBF = `-0.0669518` Chr`18` : `905,125`	0.000	1.000	0.000
rs4145170 lBF = `-0.0718125` Chr`18` : `26,676,672`	0.000	1.000	0.000
rs7244261 lBF = `-0.0766028` Chr`18` : `66,214,696`	0.000	1.000	0.000
rs7240382 lBF = `-0.0820825` Chr`18` : `74,450,640`	0.000	1.000	0.000
rs7237497 lBF = `11.9138` Chr`18` : `12,777,325`	0.000	1.000	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.000	1.000	0.000
rs8099121 lBF = `2.09268` Chr`18` : `4,980,408`	0.000	1.000	0.000
rs7231412 lBF = `0.776366` Chr`18` : `40,105,657`	0.000	1.000	0.000
rs7243357 lBF = `0.412815` Chr`18` : `56,883,319`	0.000	1.000	0.000
rs17773430 lBF = `0.194865` Chr`18` : `57,963,117`	0.000	1.000	0.000
rs12458491 lBF = `0.0419281` Chr`18` : `35,307,820`	0.000	1.000	0.000
rs357894 lBF = `0.0370841` Chr`18` : `46,579,970`	0.000	1.000	0.000
rs8093763 lBF = `0.0196925` Chr`18` : `57,503,378`	0.000	1.000	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.000	1.000	0.000
rs10514168 lBF = `0.0067863` Chr`18` : `73,098,949`	0.000	1.000	0.000
rs1826508 lBF = `0.0032493` Chr`18` : `1,206,984`	0.000	1.000	0.000
rs56775891 lBF = `-0.0160958` Chr`18` : `77,575,613`	0.000	1.000	0.000
rs4308051 lBF = `-0.0254337` Chr`18` : `20,735,461`	0.000	1.000	0.000
rs7227892 lBF = `-0.0326973` Chr`18` : `46,336,702`	0.000	1.000	0.000
rs12455924 lBF = `-0.0341717` Chr`18` : `11,064,409`	0.000	1.000	0.000
rs10853575 lBF = `-0.0455302` Chr`18` : `46,559,719`	0.000	1.000	0.000
rs715170 lBF = `-0.0458681` Chr`18` : `53,795,514`	0.000	1.000	0.000
rs75116816 lBF = `-0.0583398` Chr`18` : `47,289,049`	0.000	1.000	0.000
rs7228133 lBF = `-0.0646677` Chr`18` : `4,539,085`	0.000	1.000	0.000
rs512279 lBF = `-0.0713766` Chr`18` : `58,232,100`	0.000	1.000	0.000
rs9963862 lBF = `-0.0724579` Chr`18` : `20,587,911`	0.000	1.000	0.000
rs8094794 lBF = `-0.0790488` Chr`18` : `34,252,749`	0.000	1.000	0.000
rs17750015 lBF = `-0.0913326` Chr`18` : `54,397,622`	0.000	1.000	0.000
rs7232775 lBF = `-0.0944484` Chr`18` : `43,202,404`	0.000	1.000	0.000
rs7238033 lBF = `-0.0992199` Chr`18` : `43,316,966`	0.000	1.000	0.000
rs10775480 lBF = `-0.09977` Chr`18` : `43,317,282`	0.000	1.000	0.000
rs2847278 lBF = `11.9236` Chr`18` : `12,778,715`	0.000	1.000	0.000
rs9952991 lBF = `11.7356` Chr`18` : `12,780,464`	0.000	1.000	0.000
rs62100766 lBF = `5.58248` Chr`18` : `50,737,358`	0.000	1.000	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.000	1.000	0.000
rs12968116 lBF = `3.23977` Chr`18` : `55,322,502`	0.000	1.000	0.000
rs12606068 lBF = `1.37012` Chr`18` : `65,191,491`	0.000	1.000	0.000
rs1346987 lBF = `0.787418` Chr`18` : `40,102,641`	0.000	1.000	0.000
rs2339345 lBF = `0.105165` Chr`18` : `49,957,255`	0.000	1.000	0.000
rs8085804 lBF = `0.0949757` Chr`18` : `40,288,293`	0.000	1.000	0.000
rs621636 lBF = `0.0511779` Chr`18` : `322,522`	0.000	1.000	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	1.000	0.000
rs7233060 lBF = `0.033984` Chr`18` : `77,392,379`	0.000	1.000	0.000
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.000	1.000	0.000
rs6565887 lBF = `0.00863623` Chr`18` : `74,182,975`	0.000	1.000	0.000
rs17783459 lBF = `0.00513874` Chr`18` : `42,329,076`	0.000	1.000	0.000
rs1442089 lBF = `-0.00174034` Chr`18` : `51,107,079`	0.000	1.000	0.000
rs58263042 lBF = `-0.00749228` Chr`18` : `29,979,575`	0.000	1.000	0.000
rs12959333 lBF = `-0.0134637` Chr`18` : `33,199,916`	0.000	1.000	0.000
rs12954803 lBF = `-0.0219224` Chr`18` : `22,136,569`	0.000	1.000	0.000
rs1539893 lBF = `-0.0278756` Chr`18` : `66,544,755`	0.000	1.000	0.000
rs1372474 lBF = `-0.0290872` Chr`18` : `51,116,832`	0.000	1.000	0.000
rs12185468 lBF = `-0.0310759` Chr`18` : `8,479,685`	0.000	1.000	0.000
rs1120787 lBF = `-0.0384799` Chr`18` : `54,983,554`	0.000	1.000	0.000
rs8098600 lBF = `-0.041373` Chr`18` : `10,592,713`	0.000	1.000	0.000
rs2298574 lBF = `-0.0474444` Chr`18` : `25,569,058`	0.000	1.000	0.000
rs9953270 lBF = `-0.0523949` Chr`18` : `24,687,371`	0.000	1.000	0.000
rs3906453 lBF = `-0.0524443` Chr`18` : `51,258,338`	0.000	1.000	0.000
rs9961915 lBF = `-0.0540138` Chr`18` : `24,687,324`	0.000	1.000	0.000
rs473976 lBF = `-0.0567698` Chr`18` : `40,418,431`	0.000	1.000	0.000
rs4890489 lBF = `-0.0603201` Chr`18` : `42,431,244`	0.000	1.000	0.000
rs991014 lBF = `-0.0620715` Chr`18` : `42,439,886`	0.000	1.000	0.000
rs12959570 lBF = `-0.0687857` Chr`18` : `54,333,584`	0.000	1.000	0.000
rs8091180 lBF = `-0.0776858` Chr`18` : `77,164,243`	0.000	1.000	0.000
rs11874712 lBF = `-0.0915363` Chr`18` : `43,688,576`	0.000	1.000	0.000
rs4131805 lBF = `-0.100271` Chr`18` : `26,059,112`	0.000	1.000	0.000
rs17798991 lBF = `-0.102522` Chr`18` : `47,121,316`	0.000	1.000	0.000
rs1436904 lBF = `-0.114988` Chr`18` : `24,570,667`	0.000	1.000	0.000
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.000	1.000	0.000
rs35352860 lBF = `24.3441` Chr`18` : `46,453,754`	0.000	1.000	0.000
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.000	1.000	0.000
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.000	1.000	0.000
rs17782313 lBF = `9.47631` Chr`18` : `57,851,097`	0.000	1.000	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.000	1.000	0.000
rs454768 lBF = `5.28137` Chr`18` : `29,628,863`	0.000	1.000	0.000
rs62100765 lBF = `5.27252` Chr`18` : `50,735,418`	0.000	1.000	0.000
rs1187256 lBF = `1.91798` Chr`18` : `35,295,330`	0.000	1.000	0.000
rs11659841 lBF = `0.780136` Chr`18` : `25,786,880`	0.000	1.000	0.000
rs9962038 lBF = `0.422456` Chr`18` : `74,760,015`	0.000	1.000	0.000
rs16942421 lBF = `0.282577` Chr`18` : `24,156,425`	0.000	1.000	0.000
rs7235840 lBF = `0.173722` Chr`18` : `73,725,200`	0.000	1.000	0.000
rs1787200 lBF = `0.113827` Chr`18` : `46,587,654`	0.000	1.000	0.000
rs7236492 lBF = `0.0825699` Chr`18` : `77,220,616`	0.000	1.000	0.000
rs7226371 lBF = `0.0494513` Chr`18` : `1,850,771`	0.000	1.000	0.000
rs8099014 lBF = `0.0458431` Chr`18` : `56,109,859`	0.000	1.000	0.000
rs2980976 lBF = `0.0327223` Chr`18` : `60,080,112`	0.000	1.000	0.000
rs12456021 lBF = `0.00182836` Chr`18` : `56,213,390`	0.000	1.000	0.000
rs3794924 lBF = `-0.0125339` Chr`18` : `29,041,734`	0.000	1.000	0.000
rs4797559 lBF = `-0.031608` Chr`18` : `11,583,447`	0.000	1.000	0.000
rs9959145 lBF = `-0.0319048` Chr`18` : `12,606,463`	0.000	1.000	0.000
rs7505290 lBF = `-0.0327581` Chr`18` : `74,183,562`	0.000	1.000	0.000
rs1940973 lBF = `-0.0337389` Chr`18` : `12,550,747`	0.000	1.000	0.000
rs17674580 lBF = `-0.0361308` Chr`18` : `43,309,911`	0.000	1.000	0.000
rs4800451 lBF = `-0.0407049` Chr`18` : `20,716,805`	0.000	1.000	0.000
rs11662763 lBF = `-0.0442442` Chr`18` : `5,857,091`	0.000	1.000	0.000
rs12967884 lBF = `-0.0569123` Chr`18` : `76,591,635`	0.000	1.000	0.000
rs2865126 lBF = `-0.05792` Chr`18` : `10,766,425`	0.000	1.000	0.000
rs8091660 lBF = `-0.0605294` Chr`18` : `46,087,936`	0.000	1.000	0.000
rs2717128 lBF = `-0.071274` Chr`18` : `74,987,632`	0.000	1.000	0.000
rs2920001 lBF = `-0.0767493` Chr`18` : `28,789,725`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.8145

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6987

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0666

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9999

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9999

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9999

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9997

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9997

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9996

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9996

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9996

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9995

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9994

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9993

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9992

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9992

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9992

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9991

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9990

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9990

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9986

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9986

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9974

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9949

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9926

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9921

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9894

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9890

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9884

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9871

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9870

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9862

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9851

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9843

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9829

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9814

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9802

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9799

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9795

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9778

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9757

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9749

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9721

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9708

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9706

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9682

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9669

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9611

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9606

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9606

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9568

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9486

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9432

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9422

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9384

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9314

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9292

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9276

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9228

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9224

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9224

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9205

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9189

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9155

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9127

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8902

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8831

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8809

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8721

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8662

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8661

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8602

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8481

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8323

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8206

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7853

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7812

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7791

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7631

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7588

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7542

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7371

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7145

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7122

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7119

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6759

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6363

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6056

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5882

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5865

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5728

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5630

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5621

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5473

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5205

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5093

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4288

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4059

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3567

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2980

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2927

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2884

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2744

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2650

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2554

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2528

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2501

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2436

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2369

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2210

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2165

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2015

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1951

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1826

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1823

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1643

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1538

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1333

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1254

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1144

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1006

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0882

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0849

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0799

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0743

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0601

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0551

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.

Parent term	Z80-Z99 Persons with potential health hazards related to family and personal history and certain conditions influencing health status
Nested terms	Z99.0 Dependence on aspirator Z99.1 Dependence on respirator Z99.2 Dependence on renal dialysis Z99.3 Dependence on wheelchair Z99.4 Dependence on artificial heart Z99.8 Dependence on other enabling machines and devices Z99.9 Dependence on unspecified enabling machine and device

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`)