TreeWAS – [M16.7] Other secondary coxarthrosis

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
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.778	0.222	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.643	0.357	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.615	0.385	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.575	0.424	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.537	0.463	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.521	0.479	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.503	0.497	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.491	0.508	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.480	0.520	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.463	0.537	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.424	0.575	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.417	0.583	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.406	0.594	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.396	0.604	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.391	0.609	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.361	0.638	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.357	0.643	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.352	0.648	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.350	0.650	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.323	0.677	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.316	0.684	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.305	0.695	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.295	0.705	0.000
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.269	0.731	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.261	0.739	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.260	0.740	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.258	0.742	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.255	0.745	0.000
rs8098701 lBF = `1.45811` Chr`18` : `43,551,013`	0.251	0.749	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.250	0.750	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.233	0.767	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.227	0.773	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.212	0.788	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.202	0.798	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.194	0.806	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.193	0.806	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.183	0.817	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.180	0.819	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.173	0.827	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.165	0.834	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.165	0.835	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.162	0.838	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.147	0.852	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.144	0.856	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.139	0.861	0.001
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.136	0.863	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.136	0.864	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.133	0.867	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.130	0.869	0.001
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.124	0.876	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.124	0.876	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.120	0.879	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.120	0.880	0.000
rs150664883 lBF = `0.43826` Chr`18` : `35,146,206`	0.120	0.880	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.117	0.883	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.103	0.897	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.103	0.897	0.001
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.100	0.900	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.099	0.900	0.001
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.096	0.904	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.092	0.907	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.085	0.915	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.083	0.917	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.081	0.918	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.079	0.921	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.077	0.923	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.075	0.925	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.073	0.926	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.072	0.928	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.070	0.930	0.000
rs10502739 lBF = `0.93719` Chr`18` : `38,220,099`	0.069	0.931	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.067	0.933	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.065	0.934	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.063	0.937	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.062	0.938	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.059	0.941	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.059	0.941	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.058	0.942	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.055	0.944	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.054	0.946	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.052	0.948	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.051	0.948	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.050	0.950	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.047	0.953	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.046	0.953	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.046	0.954	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.045	0.955	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.043	0.957	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.043	0.957	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.042	0.957	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.042	0.958	0.001
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.040	0.959	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.040	0.960	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.037	0.962	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.035	0.965	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.035	0.965	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.032	0.968	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.030	0.970	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.030	0.970	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.030	0.970	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.027	0.972	0.001
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.025	0.975	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.024	0.976	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.023	0.976	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.021	0.979	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.021	0.979	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.020	0.979	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.019	0.981	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.018	0.981	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.019	0.981	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.016	0.983	0.001
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.016	0.983	0.001
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.016	0.983	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.012	0.984	0.004
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.015	0.984	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.014	0.985	0.001
rs41475954 lBF = `1.09592` Chr`18` : `35,085,733`	0.015	0.985	0.000
rs12606068 lBF = `1.37012` Chr`18` : `65,191,491`	0.014	0.986	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.014	0.986	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.013	0.987	0.001
rs571312 lBF = `10.5456` Chr`18` : `57,839,769`	0.011	0.989	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.010	0.989	0.000
rs12959333 lBF = `-0.0134637` Chr`18` : `33,199,916`	0.011	0.989	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.010	0.990	0.000
rs60241046 lBF = `0.389149` Chr`18` : `31,390,868`	0.009	0.991	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.009	0.991	0.000
rs4573996 lBF = `0.0575841` Chr`18` : `76,494,592`	0.009	0.991	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.008	0.991	0.000
rs4372758 lBF = `5.5759` Chr`18` : `50,683,306`	0.000	0.993	0.007
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.007	0.993	0.000
rs476828 lBF = `10.3029` Chr`18` : `57,852,587`	0.007	0.993	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.006	0.994	0.000
rs538656 lBF = `10.3603` Chr`18` : `57,850,422`	0.006	0.994	0.000
rs663129 lBF = `10.1168` Chr`18` : `57,838,401`	0.006	0.994	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.005	0.995	0.000
rs17782313 lBF = `9.47631` Chr`18` : `57,851,097`	0.005	0.995	0.000
rs884205 lBF = `0.32864` Chr`18` : `60,054,857`	0.004	0.996	0.000
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.004	0.996	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.004	0.996	0.000
rs17088439 lBF = `0.409643` Chr`18` : `71,522,091`	0.004	0.996	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.003	0.996	0.000
rs41418949 lBF = `0.0614003` Chr`18` : `70,442,068`	0.004	0.996	0.000
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.997	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.002	0.997	0.001
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	0.003	0.997	0.000
rs62095459 lBF = `5.05503` Chr`18` : `44,621,382`	0.003	0.997	0.000
rs73431975 lBF = `0.0273816` Chr`18` : `42,968,534`	0.003	0.997	0.000
rs12967135 lBF = `10.2859` Chr`18` : `57,849,023`	0.003	0.997	0.000
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.003	0.997	0.000
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.997	0.003
rs4331426 lBF = `0.0201478` Chr`18` : `20,190,795`	0.003	0.997	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.002	0.997	0.000
rs11876941 lBF = `3.27545` Chr`18` : `50,906,031`	0.000	0.997	0.003
rs72926932 lBF = `-0.00277141` Chr`18` : `53,050,646`	0.002	0.997	0.000
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.998	0.000
rs2957128 lBF = `-0.0531889` Chr`18` : `60,060,735`	0.002	0.998	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.002	0.998	0.000
rs6567160 lBF = `10.4157` Chr`18` : `57,829,135`	0.002	0.998	0.000
rs11082438 lBF = `0.212302` Chr`18` : `42,865,210`	0.002	0.998	0.000
rs1539808 lBF = `0.0106367` Chr`18` : `5,978,931`	0.002	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.000
rs2124349 lBF = `0.0170278` Chr`18` : `65,017,100`	0.001	0.998	0.000
rs7227892 lBF = `-0.0326973` Chr`18` : `46,336,702`	0.001	0.999	0.000
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs62100765 lBF = `5.27252` Chr`18` : `50,735,418`	0.000	0.999	0.001
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs8098064 lBF = `-0.00017223` Chr`18` : `8,209,269`	0.001	0.999	0.000
rs34777351 lBF = `-0.0625803` Chr`18` : `23,106,223`	0.000	0.999	0.001
rs4799915 lBF = `-0.0565602` Chr`18` : `34,928,639`	0.001	0.999	0.000
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	0.001	0.999	0.000
rs12165098 lBF = `-0.0207157` Chr`18` : `36,680,499`	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
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs146111930 lBF = `0` Chr`18` : `25,262,370`	0.001	0.999	0.001
rs75433892 lBF = `0` Chr`18` : `11,712,922`	0.001	0.999	0.001
rs116989867 lBF = `0` Chr`18` : `77,172,316`	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
rs145717157 lBF = `0` Chr`18` : `26,713,277`	0.001	0.999	0.001
rs148138116 lBF = `0` Chr`18` : `53,201,480`	0.001	0.999	0.001
rs141475580 lBF = `0` Chr`18` : `5,936,481`	0.001	0.999	0.001
rs138098194 lBF = `0` Chr`18` : `64,507,408`	0.001	0.999	0.001
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	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
rs2162440 lBF = `-0.070034` Chr`18` : `35,214,006`	0.001	0.999	0.000
rs113568918 lBF = `0.457294` Chr`18` : `67,546,690`	0.001	0.999	0.000
rs62100766 lBF = `5.58248` Chr`18` : `50,737,358`	0.000	0.999	0.001
rs1261117 lBF = `-0.00693224` Chr`18` : `52,949,657`	0.001	0.999	0.000
rs473518 lBF = `-0.0490527` Chr`18` : `20,084,674`	0.001	0.999	0.000
rs12968116 lBF = `3.23977` Chr`18` : `55,322,502`	0.000	0.999	0.001
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rs4368253 lBF = `0.4764` Chr`18` : `57,622,287`	0.000	1.000	0.000
rs77292326 lBF = `0.22913` Chr`18` : `11,737,231`	0.000	1.000	0.000
rs7235840 lBF = `0.173722` Chr`18` : `73,725,200`	0.000	1.000	0.000
rs7506840 lBF = `0.11647` Chr`18` : `6,522,756`	0.000	1.000	0.000
rs4503880 lBF = `0.0679007` Chr`18` : `56,084,054`	0.000	1.000	0.000
rs12970291 lBF = `0.0586602` Chr`18` : `73,017,234`	0.000	1.000	0.000
rs11663316 lBF = `0.0503791` Chr`18` : `9,027,914`	0.000	1.000	0.000
rs1460196 lBF = `0.044136` Chr`18` : `50,215,412`	0.000	1.000	0.000
rs9952762 lBF = `0.0275078` Chr`18` : `73,401,650`	0.000	1.000	0.000
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	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
rs1050631 lBF = `-0.010527` Chr`18` : `33,694,120`	0.000	1.000	0.000
rs4534959 lBF = `-0.0114045` Chr`18` : `61,877,156`	0.000	1.000	0.000
rs4327120 lBF = `-0.0185945` Chr`18` : `36,532,976`	0.000	1.000	0.000
rs77990856 lBF = `-0.0225233` Chr`18` : `48,016,887`	0.000	1.000	0.000
rs12955474 lBF = `-0.0227347` Chr`18` : `57,152,038`	0.000	1.000	0.000
rs9951602 lBF = `-0.029318` Chr`18` : `76,657,779`	0.000	1.000	0.000
rs1120787 lBF = `-0.0384799` Chr`18` : `54,983,554`	0.000	1.000	0.000
rs72934570 lBF = `-0.0440825` Chr`18` : `53,533,189`	0.000	1.000	0.000
rs10853575 lBF = `-0.0455302` Chr`18` : `46,559,719`	0.000	1.000	0.000
rs11152166 lBF = `-0.0482792` Chr`18` : `57,314,807`	0.000	1.000	0.000
rs3906453 lBF = `-0.0524443` Chr`18` : `51,258,338`	0.000	1.000	0.000
rs473976 lBF = `-0.0567698` Chr`18` : `40,418,431`	0.000	1.000	0.000
rs1126214 lBF = `-0.0811569` Chr`18` : `28,639,548`	0.000	1.000	0.000
rs1865721 lBF = `-0.105425` Chr`18` : `73,192,446`	0.000	1.000	0.000
rs11662297 lBF = `-0.109424` Chr`18` : `6,668,050`	0.000	1.000	0.000
rs11874381 lBF = `-0.109737` Chr`18` : `47,203,408`	0.000	1.000	0.000
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.000	1.000	0.000
rs55916387 lBF = `1.32445` Chr`18` : `31,246,244`	0.000	1.000	0.000
rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.000	1.000	0.000
rs114535501 lBF = `0.141157` Chr`18` : `65,470,749`	0.000	1.000	0.000
rs12458130 lBF = `0.124301` Chr`18` : `8,667,061`	0.000	1.000	0.000
rs206626 lBF = `0.0301974` Chr`18` : `10,321,347`	0.000	1.000	0.000
rs9953769 lBF = `0.0267593` Chr`18` : `71,021,568`	0.000	1.000	0.000
rs144653651 lBF = `0.0105332` Chr`18` : `12,909,504`	0.000	1.000	0.000
rs11082098 lBF = `0.00614239` Chr`18` : `36,198,732`	0.000	1.000	0.000
rs2639990 lBF = `0.00060051` Chr`18` : `72,915,551`	0.000	1.000	0.000
rs72923818 lBF = `-0.00088852` Chr`18` : `46,683,754`	0.000	1.000	0.000
rs17574271 lBF = `-0.0190117` Chr`18` : `3,970,124`	0.000	1.000	0.000
rs12457254 lBF = `-0.0200572` Chr`18` : `55,637,712`	0.000	1.000	0.000
rs1372474 lBF = `-0.0290872` Chr`18` : `51,116,832`	0.000	1.000	0.000
rs4800451 lBF = `-0.0407049` Chr`18` : `20,716,805`	0.000	1.000	0.000
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	1.000	0.000
rs9967417 lBF = `-0.0530886` Chr`18` : `46,959,500`	0.000	1.000	0.000
rs403814 lBF = `-0.0540524` Chr`18` : `6,282,593`	0.000	1.000	0.000
rs9964595 lBF = `-0.079206` Chr`18` : `1,807,674`	0.000	1.000	0.000
rs7239883 lBF = `-0.0798279` Chr`18` : `40,147,671`	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
rs9952991 lBF = `11.7356` Chr`18` : `12,780,464`	0.000	1.000	0.000
rs41452747 lBF = `6.20014` Chr`18` : `52,918,380`	0.000	1.000	0.000
rs2576037 lBF = `0.840551` Chr`18` : `44,585,420`	0.000	1.000	0.000
rs72963233 lBF = `0.279766` Chr`18` : `31,929,247`	0.000	1.000	0.000
rs12960119 lBF = `0.0613299` Chr`18` : `23,614,703`	0.000	1.000	0.000
rs7506045 lBF = `0.0511143` Chr`18` : `11,987,272`	0.000	1.000	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	1.000	0.000
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.000	1.000	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.000	1.000	0.000
rs17077540 lBF = `0.0137266` Chr`18` : `65,285,279`	0.000	1.000	0.000
rs1704734 lBF = `0.0103991` Chr`18` : `66,314,072`	0.000	1.000	0.000
rs13381277 lBF = `-0.00572016` Chr`18` : `74,318,610`	0.000	1.000	0.000
rs6508673 lBF = `-0.0234076` Chr`18` : `27,956,443`	0.000	1.000	0.000
rs16951095 lBF = `-0.0255469` Chr`18` : `7,042,911`	0.000	1.000	0.000
rs7505784 lBF = `-0.0300839` Chr`18` : `27,184,881`	0.000	1.000	0.000
rs7226677 lBF = `-0.0311434` Chr`18` : `278,796`	0.000	1.000	0.000
rs1879352 lBF = `-0.0341833` Chr`18` : `2,498,054`	0.000	1.000	0.000
rs12971120 lBF = `-0.0345466` Chr`18` : `72,174,023`	0.000	1.000	0.000
rs1517037 lBF = `-0.0381763` Chr`18` : `56,878,274`	0.000	1.000	0.000
rs12965577 lBF = `-0.0398172` Chr`18` : `31,675,680`	0.000	1.000	0.000
rs732528 lBF = `-0.0426621` Chr`18` : `48,378,234`	0.000	1.000	0.000
rs681383 lBF = `-0.0461021` Chr`18` : `8,323,984`	0.000	1.000	0.000
rs7228133 lBF = `-0.0646677` Chr`18` : `4,539,085`	0.000	1.000	0.000
rs7240462 lBF = `-0.0706474` Chr`18` : `69,662,581`	0.000	1.000	0.000
rs10513968 lBF = `-0.0867442` Chr`18` : `67,283,141`	0.000	1.000	0.000
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.000	1.000	0.000
rs7235528 lBF = `0.136261` Chr`18` : `40,058,882`	0.000	1.000	0.000
rs10438978 lBF = `0.0708836` Chr`18` : `47,158,186`	0.000	1.000	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	1.000	0.000
rs17651157 lBF = `0.0272524` Chr`18` : `34,107,452`	0.000	1.000	0.000
rs8093763 lBF = `0.0196925` Chr`18` : `57,503,378`	0.000	1.000	0.000
rs10460009 lBF = `0.00915213` Chr`18` : `2,948,029`	0.000	1.000	0.000
rs17088339 lBF = `-0.0172204` Chr`18` : `71,476,133`	0.000	1.000	0.000
rs7240206 lBF = `-0.0215768` Chr`18` : `74,435,154`	0.000	1.000	0.000
rs275856 lBF = `-0.0230627` Chr`18` : `21,839,152`	0.000	1.000	0.000
rs12455924 lBF = `-0.0341717` Chr`18` : `11,064,409`	0.000	1.000	0.000
rs11082321 lBF = `-0.0346267` Chr`18` : `20,776,651`	0.000	1.000	0.000
rs1157477 lBF = `-0.0411558` Chr`18` : `73,850,510`	0.000	1.000	0.000
rs8087799 lBF = `-0.0460963` Chr`18` : `20,185,431`	0.000	1.000	0.000
rs12967884 lBF = `-0.0569123` Chr`18` : `76,591,635`	0.000	1.000	0.000
rs62097350 lBF = `-0.0665892` Chr`18` : `13,298,943`	0.000	1.000	0.000
rs8097348 lBF = `-0.0723708` Chr`18` : `1,595,021`	0.000	1.000	0.000
rs1362858 lBF = `-0.0857261` Chr`18` : `32,986,600`	0.000	1.000	0.000
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.000	1.000	0.000
rs591166 lBF = `2.16446` Chr`18` : `57,841,589`	0.000	1.000	0.000
rs12606301 lBF = `0.465056` Chr`18` : `40,023,782`	0.000	1.000	0.000
rs16942421 lBF = `0.282577` Chr`18` : `24,156,425`	0.000	1.000	0.000
rs7244245 lBF = `0.145515` Chr`18` : `8,931,652`	0.000	1.000	0.000
rs2660917 lBF = `0.143926` Chr`18` : `68,628,078`	0.000	1.000	0.000
rs7241918 lBF = `0.132748` Chr`18` : `47,160,953`	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 X0099

log Bayes Factor = 16.3687

contains 3 variants

0.9621

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9780

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9583

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9311

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9188

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9085

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.8969

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8907

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.8871

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.8850

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8747

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8585

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8404

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8267

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8096

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7961

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7841

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7822

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7301

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7147

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7038

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6963

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6938

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6667

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6648

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6080

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5515

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5460

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5406

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5329

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5272

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5192

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5109

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5097

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5071

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4682

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4658

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4302

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4021

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3780

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3680

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3647

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3633

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3474

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3462

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3391

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3355

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3274

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3118

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3077

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2979

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2960

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2786

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2718

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2708

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2620

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2590

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2585

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2582

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2505

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2461

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2426

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2375

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2301

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2288

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2263

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2245

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2239

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2178

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2170

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2109

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2080

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2074

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2030

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1957

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1953

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1928

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1920

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1878

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1869

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1723

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1717

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1631

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1618

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1607

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1546

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1527

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1508

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1473

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1445

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1434

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1420

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1394

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1392

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1389

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1369

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1232

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1191

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1165

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1110

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1100

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1084

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1038

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1038

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1012

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1003

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0972

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0957

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0945

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0909

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0892

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0837

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0762

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0757

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0746

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0719

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0710

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0699

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0691

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0679

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0672

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0620

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0620

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0619

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0608

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0584

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0537

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0529

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0508

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0502

Cluster X0137

log Bayes Factor = 120.748

contains 4 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`)