TreeWAS – [R25.2] Cramp and spasm

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
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.740	0.260	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.731	0.269	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.707	0.293	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.668	0.332	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.635	0.365	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.560	0.440	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.551	0.449	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.533	0.467	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.532	0.468	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.530	0.470	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.503	0.497	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.493	0.507	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.491	0.508	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.487	0.513	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.482	0.518	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.461	0.539	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.460	0.540	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.429	0.571	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.419	0.581	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.399	0.601	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.396	0.603	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.381	0.619	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.379	0.620	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.373	0.627	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.365	0.635	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.357	0.643	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.352	0.648	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.349	0.651	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.319	0.681	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.316	0.684	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.315	0.685	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.298	0.702	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.273	0.727	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.265	0.734	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.258	0.742	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.255	0.745	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.253	0.747	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.233	0.767	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.226	0.774	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.220	0.779	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.220	0.780	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.209	0.790	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.206	0.794	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.202	0.798	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.199	0.800	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.181	0.819	0.001
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.175	0.825	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.168	0.832	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.158	0.842	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.156	0.844	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.149	0.850	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.141	0.859	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.136	0.864	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.135	0.865	0.000
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.128	0.872	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.128	0.872	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.117	0.882	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.116	0.883	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.114	0.886	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.105	0.895	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.101	0.899	0.000
rs17783459 lBF = `0.00513874` Chr`18` : `42,329,076`	0.101	0.899	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.097	0.902	0.000
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.094	0.905	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.092	0.908	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.091	0.909	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.090	0.910	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.087	0.913	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.082	0.918	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.063	0.937	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.059	0.941	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.058	0.942	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.058	0.942	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.047	0.952	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.043	0.957	0.000
rs112049532 lBF = `8.33656` Chr`18` : `11,234,574`	0.000	0.961	0.039
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.038	0.962	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.030	0.970	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.027	0.973	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.022	0.978	0.000
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.022	0.978	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.021	0.979	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.021	0.979	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.019	0.981	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.018	0.982	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.017	0.983	0.000
rs9962038 lBF = `0.422456` Chr`18` : `74,760,015`	0.016	0.983	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.016	0.984	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.014	0.986	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.013	0.986	0.001
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.013	0.987	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.011	0.989	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.008	0.992	0.000
rs1631486 lBF = `4.08365` Chr`18` : `53,026,357`	0.008	0.992	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.006	0.994	0.000
rs970510 lBF = `-0.0559925` Chr`18` : `69,479,921`	0.006	0.994	0.000
rs9947954 lBF = `0.0527664` Chr`18` : `46,240,711`	0.000	0.994	0.006
rs11662763 lBF = `-0.0442442` Chr`18` : `5,857,091`	0.006	0.994	0.000
rs2298574 lBF = `-0.0474444` Chr`18` : `25,569,058`	0.000	0.994	0.006
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.005	0.994	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.005	0.995	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.005	0.995	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.004	0.995	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.004	0.995	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.004	0.995	0.000
rs2576037 lBF = `0.840551` Chr`18` : `44,585,420`	0.004	0.996	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.004	0.996	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.004	0.996	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.004	0.996	0.000
rs7233332 lBF = `-0.0206989` Chr`18` : `9,784,914`	0.004	0.996	0.000
rs72926932 lBF = `-0.00277141` Chr`18` : `53,050,646`	0.004	0.996	0.000
rs16949825 lBF = `0.945855` Chr`18` : `46,227,444`	0.000	0.996	0.004
rs3906453 lBF = `-0.0524443` Chr`18` : `51,258,338`	0.003	0.997	0.000
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.997	0.000
rs76650652 lBF = `0.158735` Chr`18` : `31,088,078`	0.003	0.997	0.000
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.997	0.003
rs12959570 lBF = `-0.0687857` Chr`18` : `54,333,584`	0.000	0.997	0.003
rs1398217 lBF = `-0.0536648` Chr`18` : `44,752,238`	0.000	0.997	0.003
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.003	0.997	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.003	0.997	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.003	0.997	0.000
rs7234531 lBF = `-0.00917178` Chr`18` : `64,570,385`	0.003	0.997	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.003	0.997	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.003	0.997	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.002	0.997	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.002	0.997	0.000
rs2137289 lBF = `-0.0534433` Chr`18` : `44,752,125`	0.000	0.998	0.002
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.002	0.998	0.000
rs10469266 lBF = `-0.00354442` Chr`18` : `62,169,092`	0.002	0.998	0.000
rs4797559 lBF = `-0.031608` Chr`18` : `11,583,447`	0.002	0.998	0.000
rs2243803 lBF = `-0.0734026` Chr`18` : `42,956,672`	0.000	0.998	0.002
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.998	0.000
rs1944582 lBF = `-0.0780228` Chr`18` : `45,815,417`	0.000	0.998	0.002
rs489693 lBF = `3.18069` Chr`18` : `57,882,787`	0.000	0.998	0.002
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.002	0.998	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.002	0.998	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.002	0.998	0.000
rs72934570 lBF = `-0.0440825` Chr`18` : `53,533,189`	0.002	0.998	0.000
rs7504990 lBF = `0.0630291` Chr`18` : `50,517,776`	0.002	0.998	0.000
rs10502861 lBF = `-0.0546688` Chr`18` : `42,800,148`	0.002	0.998	0.000
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.000	0.998	0.002
rs9951026 lBF = `-0.109832` Chr`18` : `47,109,693`	0.000	0.998	0.002
rs681383 lBF = `-0.0461021` Chr`18` : `8,323,984`	0.000	0.998	0.002
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.002	0.998	0.000
rs1346987 lBF = `0.787418` Chr`18` : `40,102,641`	0.000	0.998	0.002
rs73963343 lBF = `-0.011417` Chr`18` : `64,699,974`	0.002	0.998	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.002	0.998	0.000
rs4797996 lBF = `-0.0742342` Chr`18` : `2,507,425`	0.002	0.998	0.000
rs3794924 lBF = `-0.0125339` Chr`18` : `29,041,734`	0.002	0.998	0.000
rs17207042 lBF = `0.363174` Chr`18` : `67,537,351`	0.000	0.998	0.002
rs145583025 lBF = `0.00517223` Chr`18` : `14,443,241`	0.000	0.998	0.002
rs12969657 lBF = `0.440144` Chr`18` : `67,536,496`	0.000	0.998	0.002
rs12970066 lBF = `-0.0639604` Chr`18` : `47,107,152`	0.000	0.998	0.002
rs17798991 lBF = `-0.102522` Chr`18` : `47,121,316`	0.002	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.001
rs12965577 lBF = `-0.0398172` Chr`18` : `31,675,680`	0.000	0.999	0.001
rs11082438 lBF = `0.212302` Chr`18` : `42,865,210`	0.001	0.999	0.000
rs8099594 lBF = `-0.102644` Chr`18` : `46,991,160`	0.001	0.999	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.001	0.999	0.000
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.001	0.999	0.000
rs35815903 lBF = `-0.00326249` Chr`18` : `69,274,571`	0.000	0.999	0.001
rs1187220 lBF = `-0.0354844` Chr`18` : `35,351,726`	0.000	0.999	0.001
rs11663316 lBF = `0.0503791` Chr`18` : `9,027,914`	0.001	0.999	0.000
rs763361 lBF = `0.464979` Chr`18` : `67,531,642`	0.000	0.999	0.001
rs11663697 lBF = `0.128277` Chr`18` : `74,735,135`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs9958208 lBF = `0.0324831` Chr`18` : `40,591,084`	0.000	0.999	0.001
rs206626 lBF = `0.0301974` Chr`18` : `10,321,347`	0.000	0.999	0.001
rs1995138 lBF = `-0.0203531` Chr`18` : `51,526,568`	0.001	0.999	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.001	0.999	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.999	0.001
rs17750015 lBF = `-0.0913326` Chr`18` : `54,397,622`	0.001	0.999	0.000
rs7231412 lBF = `0.776366` Chr`18` : `40,105,657`	0.000	0.999	0.001
rs8088420 lBF = `-0.0330147` Chr`18` : `56,511,908`	0.000	0.999	0.001
rs357894 lBF = `0.0370841` Chr`18` : `46,579,970`	0.001	0.999	0.000
rs7506045 lBF = `0.0511143` Chr`18` : `11,987,272`	0.001	0.999	0.000
rs10514168 lBF = `0.0067863` Chr`18` : `73,098,949`	0.000	0.999	0.001
rs2864527 lBF = `-0.00619084` Chr`18` : `9,288,456`	0.000	0.999	0.001
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.001	0.999	0.000
rs8087073 lBF = `0.0584845` Chr`18` : `2,967,845`	0.000	0.999	0.001
rs2048485 lBF = `58.085` Chr`18` : `42,090,667`	0.000	0.999	0.001
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.001	0.999	0.000
rs11659841 lBF = `0.780136` Chr`18` : `25,786,880`	0.001	0.999	0.000
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs470490 lBF = `-0.127231` Chr`18` : `63,031,236`	0.000	0.999	0.001
rs150664883 lBF = `0.43826` Chr`18` : `35,146,206`	0.000	0.999	0.001
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs1351435 lBF = `0.186306` Chr`18` : `49,404,964`	0.000	0.999	0.001
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	0.999	0.001
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
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
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rs1460196 lBF = `0.044136` Chr`18` : `50,215,412`	0.000	1.000	0.000
rs12607055 lBF = `0.0153178` Chr`18` : `40,699,202`	0.000	1.000	0.000
rs4528660 lBF = `-0.0144934` Chr`18` : `3,043,516`	0.000	1.000	0.000
rs473976 lBF = `-0.0567698` Chr`18` : `40,418,431`	0.000	1.000	0.000
rs17700144 lBF = `7.11232` Chr`18` : `57,811,982`	0.000	1.000	0.000
rs9304270 lBF = `1.42842` Chr`18` : `39,937,509`	0.000	1.000	0.000
rs2217560 lBF = `0.0078309` Chr`18` : `70,150,939`	0.000	1.000	0.000
rs79828856 lBF = `-0.0126522` Chr`18` : `35,036,830`	0.000	1.000	0.000
rs7505784 lBF = `-0.0300839` Chr`18` : `27,184,881`	0.000	1.000	0.000
rs1840440 lBF = `-0.121238` Chr`18` : `23,257,186`	0.000	1.000	0.000
rs4800148 lBF = `0.137038` Chr`18` : `20,724,328`	0.000	1.000	0.000
rs7506840 lBF = `0.11647` Chr`18` : `6,522,756`	0.000	1.000	0.000
rs1539893 lBF = `-0.0278756` Chr`18` : `66,544,755`	0.000	1.000	0.000
rs10502739 lBF = `0.93719` Chr`18` : `38,220,099`	0.000	1.000	0.000
rs2276314 lBF = `0.202451` Chr`18` : `33,557,466`	0.000	1.000	0.000
rs1442089 lBF = `-0.00174034` Chr`18` : `51,107,079`	0.000	1.000	0.000
rs1557351 lBF = `-0.0170027` Chr`18` : `54,752,314`	0.000	1.000	0.000
rs17084405 lBF = `-0.0420614` Chr`18` : `69,096,398`	0.000	1.000	0.000
rs17184557 lBF = `-0.0772357` Chr`18` : `67,142,857`	0.000	1.000	0.000
rs8093502 lBF = `-0.0777335` Chr`18` : `70,285,457`	0.000	1.000	0.000
rs142429341 lBF = `-0.08346` Chr`18` : `31,441,920`	0.000	1.000	0.000
rs2345595 lBF = `4.1268` Chr`18` : `1,818,385`	0.000	1.000	0.000
rs12968116 lBF = `3.23977` Chr`18` : `55,322,502`	0.000	1.000	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.000	1.000	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.000	1.000	0.000
rs346221 lBF = `0.176096` Chr`18` : `40,023,306`	0.000	1.000	0.000
rs1970671 lBF = `0.025975` Chr`18` : `52,863,108`	0.000	1.000	0.000
rs1372474 lBF = `-0.0290872` Chr`18` : `51,116,832`	0.000	1.000	0.000
rs12455924 lBF = `-0.0341717` Chr`18` : `11,064,409`	0.000	1.000	0.000
rs17674580 lBF = `-0.0361308` Chr`18` : `43,309,911`	0.000	1.000	0.000
rs1120787 lBF = `-0.0384799` Chr`18` : `54,983,554`	0.000	1.000	0.000
rs11152166 lBF = `-0.0482792` Chr`18` : `57,314,807`	0.000	1.000	0.000
rs4799915 lBF = `-0.0565602` Chr`18` : `34,928,639`	0.000	1.000	0.000
rs11665307 lBF = `-0.0890026` Chr`18` : `69,365,300`	0.000	1.000	0.000
rs560248 lBF = `-0.112589` Chr`18` : `58,226,027`	0.000	1.000	0.000
rs12956009 lBF = `1.37696` Chr`18` : `44,768,024`	0.000	1.000	0.000
rs4130047 lBF = `0.12744` Chr`18` : `40,678,235`	0.000	1.000	0.000
rs12456492 lBF = `0.0943272` Chr`18` : `40,673,380`	0.000	1.000	0.000
rs7226835 lBF = `0.0320584` Chr`18` : `37,165,305`	0.000	1.000	0.000
rs17077540 lBF = `0.0137266` Chr`18` : `65,285,279`	0.000	1.000	0.000
rs6565887 lBF = `0.00863623` Chr`18` : `74,182,975`	0.000	1.000	0.000
rs58263042 lBF = `-0.00749228` Chr`18` : `29,979,575`	0.000	1.000	0.000
rs4574025 lBF = `-0.0168208` Chr`18` : `60,009,814`	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
rs12185468 lBF = `-0.0310759` Chr`18` : `8,479,685`	0.000	1.000	0.000
rs9947662 lBF = `-0.0367082` Chr`18` : `44,860,264`	0.000	1.000	0.000
rs1619249 lBF = `-0.0439138` Chr`18` : `49,190,644`	0.000	1.000	0.000
rs9967417 lBF = `-0.0530886` Chr`18` : `46,959,500`	0.000	1.000	0.000
rs2865126 lBF = `-0.05792` Chr`18` : `10,766,425`	0.000	1.000	0.000
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.000	1.000	0.000
rs7232775 lBF = `-0.0944484` Chr`18` : `43,202,404`	0.000	1.000	0.000
rs36030660 lBF = `5.23833` Chr`18` : `57,735,945`	0.000	1.000	0.000
rs2155929 lBF = `5.09992` Chr`18` : `26,606,647`	0.000	1.000	0.000
rs1187256 lBF = `1.91798` Chr`18` : `35,295,330`	0.000	1.000	0.000
rs16942421 lBF = `0.282577` Chr`18` : `24,156,425`	0.000	1.000	0.000
rs346452 lBF = `0.0727667` Chr`18` : `39,940,966`	0.000	1.000	0.000
rs555267 lBF = `0.0256763` Chr`18` : `40,992,698`	0.000	1.000	0.000
rs10460009 lBF = `0.00915213` Chr`18` : `2,948,029`	0.000	1.000	0.000
rs12959333 lBF = `-0.0134637` Chr`18` : `33,199,916`	0.000	1.000	0.000
rs7505290 lBF = `-0.0327581` Chr`18` : `74,183,562`	0.000	1.000	0.000
rs2469434 lBF = `-0.0402043` Chr`18` : `67,544,046`	0.000	1.000	0.000
rs10438933 lBF = `-0.0554992` Chr`18` : `29,273,129`	0.000	1.000	0.000
rs62097350 lBF = `-0.0665892` Chr`18` : `13,298,943`	0.000	1.000	0.000
rs2162440 lBF = `-0.070034` Chr`18` : `35,214,006`	0.000	1.000	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.000	1.000	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.000	1.000	0.000
rs1187264 lBF = `0.165543` Chr`18` : `35,289,647`	0.000	1.000	0.000
rs12458130 lBF = `0.124301` Chr`18` : `8,667,061`	0.000	1.000	0.000
rs9947295 lBF = `0.00305306` Chr`18` : `11,759,432`	0.000	1.000	0.000
rs12456021 lBF = `0.00182836` Chr`18` : `56,213,390`	0.000	1.000	0.000
rs275856 lBF = `-0.0230627` Chr`18` : `21,839,152`	0.000	1.000	0.000
rs12605822 lBF = `-0.0419833` Chr`18` : `9,296,524`	0.000	1.000	0.000
rs10853575 lBF = `-0.0455302` Chr`18` : `46,559,719`	0.000	1.000	0.000
rs58882377 lBF = `-0.0884508` Chr`18` : `3,465,132`	0.000	1.000	0.000
rs11874381 lBF = `-0.109737` Chr`18` : `47,203,408`	0.000	1.000	0.000
rs35352860 lBF = `24.3441` Chr`18` : `46,453,754`	0.000	1.000	0.000
rs72943036 lBF = `15.0243` Chr`18` : `60,845,776`	0.000	1.000	0.000
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	0.000	1.000	0.000
rs6567160 lBF = `10.4157` Chr`18` : `57,829,135`	0.000	1.000	0.000
rs538656 lBF = `10.3603` Chr`18` : `57,850,422`	0.000	1.000	0.000
rs2660917 lBF = `0.143926` Chr`18` : `68,628,078`	0.000	1.000	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.000	1.000	0.000
rs1013696 lBF = `0.092336` Chr`18` : `31,420,010`	0.000	1.000	0.000
rs9953769 lBF = `0.0267593` Chr`18` : `71,021,568`	0.000	1.000	0.000
rs9959145 lBF = `-0.0319048` Chr`18` : `12,606,463`	0.000	1.000	0.000
rs2032366 lBF = `-0.0463535` Chr`18` : `59,266,371`	0.000	1.000	0.000
rs518471 lBF = `-0.0529929` Chr`18` : `618,124`	0.000	1.000	0.000
rs11663206 lBF = `-0.05517` Chr`18` : `68,153,620`	0.000	1.000	0.000
rs28498503 lBF = `-0.058068` Chr`18` : `76,662,955`	0.000	1.000	0.000
rs7227401 lBF = `-0.0708296` Chr`18` : `21,938,658`	0.000	1.000	0.000
rs2717128 lBF = `-0.071274` Chr`18` : `74,987,632`	0.000	1.000	0.000
rs529445 lBF = `-0.0902455` Chr`18` : `55,783,497`	0.000	1.000	0.000
rs17073641 lBF = `-0.0984909` Chr`18` : `62,418,444`	0.000	1.000	0.000
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	0.000	1.000	0.000
rs476828 lBF = `10.3029` Chr`18` : `57,852,587`	0.000	1.000	0.000
rs12967135 lBF = `10.2859` Chr`18` : `57,849,023`	0.000	1.000	0.000
rs663129 lBF = `10.1168` Chr`18` : `57,838,401`	0.000	1.000	0.000
rs7229639 lBF = `1.53483` Chr`18` : `46,450,976`	0.000	1.000	0.000
rs12964323 lBF = `0.0316072` Chr`18` : `65,718,956`	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

0.6206

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1238

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9858

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9817

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9793

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9771

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9767

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9734

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9549

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9547

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9454

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9430

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9419

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9378

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9347

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9328

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9286

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9207

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9089

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9071

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8968

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8922

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8735

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8497

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8326

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8322

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8265

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8239

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8123

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8095

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8093

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8043

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8022

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7989

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7956

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7830

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7743

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7644

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7560

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7427

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7379

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7278

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7253

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7184

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7126

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7031

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7019

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6986

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6972

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6800

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6604

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6526

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6432

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6391

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6369

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6267

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6264

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6157

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6016

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5971

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5879

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5856

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5785

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5753

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5710

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5692

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5604

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5062

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5001

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4941

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4523

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4522

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4426

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4321

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4290

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4207

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4063

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3995

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3846

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3842

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3694

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3659

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3584

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3429

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3418

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3312

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3220

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3179

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2958

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2906

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2739

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2690

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2675

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2672

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2568

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2423

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2422

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2399

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2351

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2288

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2285

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2228

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2221

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1941

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1931

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1892

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1753

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1735

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1569

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1487

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1485

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1415

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1377

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1298

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1172

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1077

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1018

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1013

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0966

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0931

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0840

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0797

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0754

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0747

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0721

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0711

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0667

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0666

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0658

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0654

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0561

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0528

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`)