TreeWAS – [Z73] Problems related to life-management difficulty

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
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.920	0.080	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.820	0.180	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.746	0.254	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.704	0.296	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.690	0.310	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.652	0.348	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.644	0.356	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.624	0.376	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.610	0.390	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.610	0.390	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.602	0.397	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.589	0.411	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.587	0.413	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.562	0.438	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.555	0.445	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.547	0.453	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.514	0.486	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.495	0.505	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.493	0.507	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.491	0.509	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.490	0.510	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.490	0.510	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.489	0.511	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.479	0.521	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.476	0.524	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.475	0.524	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.473	0.527	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.467	0.533	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.462	0.538	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.458	0.542	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.452	0.547	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.443	0.557	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.422	0.578	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.415	0.585	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.399	0.601	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.391	0.608	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.389	0.611	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.385	0.615	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.384	0.615	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.374	0.626	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.366	0.634	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.362	0.638	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.359	0.641	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.356	0.644	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.343	0.657	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.333	0.667	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.330	0.670	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.324	0.676	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.321	0.679	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.301	0.699	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.247	0.753	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.239	0.761	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.239	0.761	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.234	0.766	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.229	0.770	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.225	0.775	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.213	0.786	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.213	0.787	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.212	0.787	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.199	0.800	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.198	0.802	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.188	0.812	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.176	0.824	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.154	0.846	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.150	0.849	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.136	0.864	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.133	0.866	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.125	0.874	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.121	0.879	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.111	0.889	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.109	0.891	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.101	0.898	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.092	0.908	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.090	0.910	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.079	0.921	0.000
rs7226677 lBF = `-0.0311434` Chr`18` : `278,796`	0.078	0.922	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.077	0.923	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.070	0.930	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.069	0.931	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.066	0.934	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.064	0.936	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.061	0.939	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.059	0.940	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.056	0.943	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.056	0.944	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.050	0.949	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.050	0.950	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.047	0.953	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.043	0.957	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.043	0.957	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.039	0.960	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.038	0.962	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.037	0.963	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.034	0.966	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.030	0.970	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.026	0.973	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.026	0.974	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.024	0.976	0.000
rs613872 lBF = `11.527` Chr`18` : `53,210,302`	0.000	0.981	0.019
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.019	0.981	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.019	0.981	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.018	0.982	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.018	0.982	0.000
rs72963233 lBF = `0.279766` Chr`18` : `31,929,247`	0.015	0.985	0.000
rs1187220 lBF = `-0.0354844` Chr`18` : `35,351,726`	0.015	0.985	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.011	0.988	0.000
rs768048 lBF = `0.0126005` Chr`18` : `50,285,398`	0.000	0.989	0.011
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.010	0.990	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.010	0.990	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.009	0.991	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.008	0.991	0.000
rs113568918 lBF = `0.457294` Chr`18` : `67,546,690`	0.008	0.992	0.000
rs4800451 lBF = `-0.0407049` Chr`18` : `20,716,805`	0.000	0.993	0.007
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.007	0.993	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.007	0.993	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.007	0.993	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.005	0.994	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.005	0.995	0.000
rs62100765 lBF = `5.27252` Chr`18` : `50,735,418`	0.005	0.995	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.005	0.995	0.000
rs10438933 lBF = `-0.0554992` Chr`18` : `29,273,129`	0.000	0.995	0.005
rs62100766 lBF = `5.58248` Chr`18` : `50,737,358`	0.005	0.995	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.005	0.995	0.000
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.996	0.004
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.004	0.996	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.004	0.996	0.000
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.003	0.996	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.003	0.996	0.000
rs4891159 lBF = `0.0491863` Chr`18` : `74,101,941`	0.004	0.996	0.000
rs1187264 lBF = `0.165543` Chr`18` : `35,289,647`	0.004	0.996	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.003	0.997	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.003	0.997	0.000
rs8084125 lBF = `0.0983154` Chr`18` : `74,952,758`	0.000	0.997	0.003
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.003	0.997	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.002	0.998	0.000
rs62097986 lBF = `5.33339` Chr`18` : `50,818,827`	0.002	0.998	0.000
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.002	0.998	0.000
rs1187256 lBF = `1.91798` Chr`18` : `35,295,330`	0.002	0.998	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.002	0.998	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.002	0.998	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.002	0.998	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.002	0.998	0.000
rs470490 lBF = `-0.127231` Chr`18` : `63,031,236`	0.002	0.998	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.002	0.998	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.002	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.001
rs17512836 lBF = `1.35567` Chr`18` : `53,194,961`	0.002	0.998	0.000
rs2717128 lBF = `-0.071274` Chr`18` : `74,987,632`	0.002	0.998	0.000
rs10775480 lBF = `-0.09977` Chr`18` : `43,317,282`	0.002	0.998	0.000
rs7238033 lBF = `-0.0992199` Chr`18` : `43,316,966`	0.002	0.998	0.000
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.998	0.000
rs4308051 lBF = `-0.0254337` Chr`18` : `20,735,461`	0.000	0.998	0.002
rs4369779 lBF = `-0.0254647` Chr`18` : `20,735,408`	0.000	0.998	0.002
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.001	0.998	0.000
rs7237422 lBF = `7.61091` Chr`18` : `69,334,652`	0.000	0.999	0.001
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.001	0.999	0.000
rs75116816 lBF = `-0.0583398` Chr`18` : `47,289,049`	0.000	0.999	0.001
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.001	0.999	0.000
rs4372758 lBF = `5.5759` Chr`18` : `50,683,306`	0.001	0.999	0.000
rs10503015 lBF = `0.00963828` Chr`18` : `55,175,143`	0.000	0.999	0.001
rs4800148 lBF = `0.137038` Chr`18` : `20,724,328`	0.000	0.999	0.001
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.999	0.001
rs1784848 lBF = `0.205323` Chr`18` : `2,176,439`	0.001	0.999	0.000
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.000	0.999	0.001
rs144098432 lBF = `0.158389` Chr`18` : `51,816,394`	0.000	0.999	0.001
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs4800452 lBF = `-0.0380228` Chr`18` : `20,727,611`	0.000	0.999	0.001
rs4940203 lBF = `-0.0457266` Chr`18` : `50,192,396`	0.001	0.999	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	0.999	0.001
rs12457996 lBF = `-0.087809` Chr`18` : `40,872,273`	0.001	0.999	0.000
rs560248 lBF = `-0.112589` Chr`18` : `58,226,027`	0.001	0.999	0.000
rs4632195 lBF = `4.33747` Chr`18` : `50,746,748`	0.001	0.999	0.000
rs3786431 lBF = `0.862458` Chr`18` : `3,814,148`	0.000	0.999	0.001
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs12957516 lBF = `-0.0462702` Chr`18` : `35,215,517`	0.000	0.999	0.001
rs11874381 lBF = `-0.109737` Chr`18` : `47,203,408`	0.001	0.999	0.000
rs9947662 lBF = `-0.0367082` Chr`18` : `44,860,264`	0.001	0.999	0.000
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs2168303 lBF = `0.00005588` Chr`18` : `58,375,934`	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
rs9951150 lBF = `1.81007` Chr`18` : `52,821,124`	0.000	0.999	0.001
rs11663697 lBF = `0.128277` Chr`18` : `74,735,135`	0.001	0.999	0.000
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rs141348977 lBF = `-0.0340627` Chr`18` : `3,107,404`	0.000	1.000	0.000
rs732528 lBF = `-0.0426621` Chr`18` : `48,378,234`	0.000	1.000	0.000
rs12964056 lBF = `-0.0983223` Chr`18` : `57,673,799`	0.000	1.000	0.000
rs538656 lBF = `10.3603` Chr`18` : `57,850,422`	0.000	1.000	0.000
rs12967135 lBF = `10.2859` Chr`18` : `57,849,023`	0.000	1.000	0.000
rs62103177 lBF = `1.05415` Chr`18` : `77,624,479`	0.000	1.000	0.000
rs6507939 lBF = `0.224144` Chr`18` : `47,176,261`	0.000	1.000	0.000
rs114535501 lBF = `0.141157` Chr`18` : `65,470,749`	0.000	1.000	0.000
rs7506840 lBF = `0.11647` Chr`18` : `6,522,756`	0.000	1.000	0.000
rs10438978 lBF = `0.0708836` Chr`18` : `47,158,186`	0.000	1.000	0.000
rs7227892 lBF = `-0.0326973` Chr`18` : `46,336,702`	0.000	1.000	0.000
rs4799710 lBF = `-0.038734` Chr`18` : `31,266,741`	0.000	1.000	0.000
rs6506122 lBF = `-0.104083` Chr`18` : `3,394,449`	0.000	1.000	0.000
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	0.000	1.000	0.000
rs571312 lBF = `10.5456` Chr`18` : `57,839,769`	0.000	1.000	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	1.000	0.000
rs7230711 lBF = `1.57411` Chr`18` : `48,690,619`	0.000	1.000	0.000
rs12966547 lBF = `0.122406` Chr`18` : `52,752,017`	0.000	1.000	0.000
rs2124349 lBF = `0.0170278` Chr`18` : `65,017,100`	0.000	1.000	0.000
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.000	1.000	0.000
rs10502868 lBF = `0.00560334` Chr`18` : `43,153,949`	0.000	1.000	0.000
rs12955474 lBF = `-0.0227347` Chr`18` : `57,152,038`	0.000	1.000	0.000
rs11082321 lBF = `-0.0346267` Chr`18` : `20,776,651`	0.000	1.000	0.000
rs12605822 lBF = `-0.0419833` Chr`18` : `9,296,524`	0.000	1.000	0.000
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	1.000	0.000
rs72934570 lBF = `-0.0440825` Chr`18` : `53,533,189`	0.000	1.000	0.000
rs8094794 lBF = `-0.0790488` Chr`18` : `34,252,749`	0.000	1.000	0.000
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.000	1.000	0.000
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.000	1.000	0.000
rs9304270 lBF = `1.42842` Chr`18` : `39,937,509`	0.000	1.000	0.000
rs4368253 lBF = `0.4764` Chr`18` : `57,622,287`	0.000	1.000	0.000
rs7243357 lBF = `0.412815` Chr`18` : `56,883,319`	0.000	1.000	0.000
rs11874716 lBF = `0.150594` Chr`18` : `52,750,688`	0.000	1.000	0.000
rs4801131 lBF = `0.139039` Chr`18` : `52,752,700`	0.000	1.000	0.000
rs2339345 lBF = `0.105165` Chr`18` : `49,957,255`	0.000	1.000	0.000
rs1013696 lBF = `0.092336` Chr`18` : `31,420,010`	0.000	1.000	0.000
rs8093763 lBF = `0.0196925` Chr`18` : `57,503,378`	0.000	1.000	0.000
rs144653651 lBF = `0.0105332` Chr`18` : `12,909,504`	0.000	1.000	0.000
rs10460009 lBF = `0.00915213` Chr`18` : `2,948,029`	0.000	1.000	0.000
rs4257308 lBF = `-0.00177508` Chr`18` : `58,109,190`	0.000	1.000	0.000
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.000	1.000	0.000
rs2156107 lBF = `-0.0218139` Chr`18` : `70,546,470`	0.000	1.000	0.000
rs8098316 lBF = `-0.0332384` Chr`18` : `20,672,555`	0.000	1.000	0.000
rs11662763 lBF = `-0.0442442` Chr`18` : `5,857,091`	0.000	1.000	0.000
rs970510 lBF = `-0.0559925` Chr`18` : `69,479,921`	0.000	1.000	0.000
rs8089250 lBF = `-0.0638926` Chr`18` : `4,772,807`	0.000	1.000	0.000
rs4131805 lBF = `-0.100271` Chr`18` : `26,059,112`	0.000	1.000	0.000
rs7231041 lBF = `-0.103691` Chr`18` : `23,393,104`	0.000	1.000	0.000
rs663129 lBF = `10.1168` Chr`18` : `57,838,401`	0.000	1.000	0.000
rs17782313 lBF = `9.47631` Chr`18` : `57,851,097`	0.000	1.000	0.000
rs12955983 lBF = `7.91277` Chr`18` : `57,872,989`	0.000	1.000	0.000
rs8098701 lBF = `1.45811` Chr`18` : `43,551,013`	0.000	1.000	0.000
rs11082438 lBF = `0.212302` Chr`18` : `42,865,210`	0.000	1.000	0.000
rs4130047 lBF = `0.12744` Chr`18` : `40,678,235`	0.000	1.000	0.000
rs12458130 lBF = `0.124301` Chr`18` : `8,667,061`	0.000	1.000	0.000
rs12456492 lBF = `0.0943272` Chr`18` : `40,673,380`	0.000	1.000	0.000
rs12607903 lBF = `0.0606153` Chr`18` : `3,817,134`	0.000	1.000	0.000
rs17232800 lBF = `0.0431282` Chr`18` : `66,292,259`	0.000	1.000	0.000
rs11082304 lBF = `0.0118008` Chr`18` : `20,720,973`	0.000	1.000	0.000
rs8087995 lBF = `-0.00275216` Chr`18` : `65,723,001`	0.000	1.000	0.000
rs72926932 lBF = `-0.00277141` Chr`18` : `53,050,646`	0.000	1.000	0.000
rs4799950 lBF = `-0.00282136` Chr`18` : `35,170,045`	0.000	1.000	0.000
rs13381277 lBF = `-0.00572016` Chr`18` : `74,318,610`	0.000	1.000	0.000
rs4574025 lBF = `-0.0168208` Chr`18` : `60,009,814`	0.000	1.000	0.000
rs16951095 lBF = `-0.0255469` Chr`18` : `7,042,911`	0.000	1.000	0.000
rs264272 lBF = `-0.0335072` Chr`18` : `10,923,808`	0.000	1.000	0.000
rs1120787 lBF = `-0.0384799` Chr`18` : `54,983,554`	0.000	1.000	0.000
rs9953270 lBF = `-0.0523949` Chr`18` : `24,687,371`	0.000	1.000	0.000
rs1943940 lBF = `-0.0576769` Chr`18` : `71,705,192`	0.000	1.000	0.000
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.000	1.000	0.000
rs7240462 lBF = `-0.0706474` Chr`18` : `69,662,581`	0.000	1.000	0.000
rs4145170 lBF = `-0.0718125` Chr`18` : `26,676,672`	0.000	1.000	0.000
rs4797996 lBF = `-0.0742342` Chr`18` : `2,507,425`	0.000	1.000	0.000
rs8083346 lBF = `-0.0774234` Chr`18` : `62,998,775`	0.000	1.000	0.000
rs529445 lBF = `-0.0902455` Chr`18` : `55,783,497`	0.000	1.000	0.000
rs1791780 lBF = `-0.102958` Chr`18` : `23,892,672`	0.000	1.000	0.000
rs2002842 lBF = `-0.106103` Chr`18` : `76,409,597`	0.000	1.000	0.000
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.000	1.000	0.000
rs72943036 lBF = `15.0243` Chr`18` : `60,845,776`	0.000	1.000	0.000
rs6567160 lBF = `10.4157` Chr`18` : `57,829,135`	0.000	1.000	0.000
rs12970134 lBF = `8.45951` Chr`18` : `57,884,750`	0.000	1.000	0.000
rs7235528 lBF = `0.136261` Chr`18` : `40,058,882`	0.000	1.000	0.000
rs8092234 lBF = `0.133484` Chr`18` : `9,371,333`	0.000	1.000	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.000	1.000	0.000
rs73439953 lBF = `0.0860121` Chr`18` : `56,602,702`	0.000	1.000	0.000
rs12964323 lBF = `0.0316072` Chr`18` : `65,718,956`	0.000	1.000	0.000
rs17651157 lBF = `0.0272524` Chr`18` : `34,107,452`	0.000	1.000	0.000
rs9635963 lBF = `0.0164355` Chr`18` : `21,749,615`	0.000	1.000	0.000
rs12456021 lBF = `0.00182836` Chr`18` : `56,213,390`	0.000	1.000	0.000
rs2635047 lBF = `-0.00077824` Chr`18` : `44,736,336`	0.000	1.000	0.000
rs12604324 lBF = `-0.00214165` Chr`18` : `21,744,432`	0.000	1.000	0.000
rs2926621 lBF = `-0.0127574` Chr`18` : `73,620,170`	0.000	1.000	0.000
rs1992269 lBF = `-0.0215628` Chr`18` : `1,872,317`	0.000	1.000	0.000
rs7240206 lBF = `-0.0215768` Chr`18` : `74,435,154`	0.000	1.000	0.000
rs1517037 lBF = `-0.0381763` Chr`18` : `56,878,274`	0.000	1.000	0.000
rs62090893 lBF = `-0.0408889` Chr`18` : `73,050,334`	0.000	1.000	0.000
rs715170 lBF = `-0.0458681` Chr`18` : `53,795,514`	0.000	1.000	0.000
rs9961915 lBF = `-0.0540138` Chr`18` : `24,687,324`	0.000	1.000	0.000
rs4553720 lBF = `-0.0567951` Chr`18` : `62,170,726`	0.000	1.000	0.000
rs7241530 lBF = `-0.0660234` Chr`18` : `75,907,992`	0.000	1.000	0.000
rs7244261 lBF = `-0.0766028` Chr`18` : `66,214,696`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6130

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5228

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2967

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9997

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9996

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9993

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9989

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9988

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9985

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9984

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9982

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9976

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9969

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9967

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9951

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9949

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9943

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9942

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9941

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9940

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9932

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9916

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9916

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9915

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9887

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9880

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9872

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9869

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9807

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9800

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9757

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9747

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9740

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9729

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9715

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9714

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9699

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9698

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9682

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9663

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9656

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9599

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9582

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9575

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9575

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9568

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9562

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9559

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9510

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9484

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9484

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9469

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9466

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9435

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9363

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9330

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9303

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9238

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9225

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9224

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9210

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9204

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9193

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9156

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9144

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9138

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9131

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9083

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8971

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8956

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8915

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8895

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8888

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8886

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8839

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8835

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8822

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8791

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8734

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8721

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8717

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8649

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8632

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8617

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8545

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8541

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8520

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8510

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8508

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8431

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8336

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8302

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8293

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8256

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8252

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8248

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8232

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8186

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8186

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.8168

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8140

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8055

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7893

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7867

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7847

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7826

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7813

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7807

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7799

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7767

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7765

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7684

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7638

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7588

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7559

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7523

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7492

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7447

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7353

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7333

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7245

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7224

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7136

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7109

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6995

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6986

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6850

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6836

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6806

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6802

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6795

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6783

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6764

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6761

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6686

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6655

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6624

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6588

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6571

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6566

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6495

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6492

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6364

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5910

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5903

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5836

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5743

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5657

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5629

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5581

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5577

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5570

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5537

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5534

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5527

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5510

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5421

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5329

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5254

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5055

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5036

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5026

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4986

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4715

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4685

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4599

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4559

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4555

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4481

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4451

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4416

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4398

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4206

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4155

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4011

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3908

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3880

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3868

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3788

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3749

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3553

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3547

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3518

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3473

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3321

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3312

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3205

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3189

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3140

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3092

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2607

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2298

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2182

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2101

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1719

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1621

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1576

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1500

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1477

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1401

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0947

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0940

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0908

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0754

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`)