TreeWAS – [Z91.6] Personal history of other physical trauma

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
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.742	0.258	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.716	0.284	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.713	0.287	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.617	0.382	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.608	0.392	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.579	0.421	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.577	0.423	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.573	0.427	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.567	0.433	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.560	0.440	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.551	0.449	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.543	0.457	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.536	0.464	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.529	0.471	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.481	0.519	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.479	0.521	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.469	0.531	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.418	0.582	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.404	0.595	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.402	0.598	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.388	0.612	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.387	0.613	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.380	0.620	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.380	0.620	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.363	0.637	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.351	0.648	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.347	0.653	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.346	0.654	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.340	0.659	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.314	0.686	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.311	0.689	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.270	0.730	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.261	0.738	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.259	0.741	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.254	0.746	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.205	0.794	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.203	0.797	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.196	0.804	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.182	0.817	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.164	0.836	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.164	0.836	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.153	0.847	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.150	0.850	0.001
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.149	0.851	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.143	0.857	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.130	0.869	0.001
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.118	0.881	0.001
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.112	0.888	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.091	0.909	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.082	0.917	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.081	0.918	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.071	0.929	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.044	0.956	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.035	0.965	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.020	0.980	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.019	0.981	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.015	0.985	0.001
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.015	0.985	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.011	0.989	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.010	0.990	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.991	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.009	0.991	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.007	0.993	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.006	0.994	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.005	0.995	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.004	0.995	0.001
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.004	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.003	0.996	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.003	0.997	0.000
rs950027 lBF = `-0.0999884` Chr`15` : `45,801,035`	0.003	0.997	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.003	0.997	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.003	0.997	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.003	0.997	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.002	0.997	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.003	0.997	0.000
rs62018380 lBF = `-0.0507671` Chr`15` : `95,275,917`	0.003	0.997	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.002	0.997	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.002	0.998	0.000
rs17536527 lBF = `0.0983696` Chr`15` : `45,719,187`	0.002	0.998	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.002	0.998	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.998	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.002	0.998	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.002	0.998	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.002	0.998	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.002	0.998	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.002	0.998	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.998	0.002
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.002	0.998	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.002	0.998	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.002	0.998	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.002	0.998	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.002	0.998	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.002	0.998	0.000
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	0.002	0.998	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	0.998	0.002
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.000	0.998	0.002
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.002	0.998	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	0.999	0.001
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	0.001	0.999	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.001	0.999	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	0.999	0.001
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.001	0.999	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.001	0.999	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.001	0.999	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.001	0.999	0.000
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.001	0.999	0.000
rs2467853 lBF = `-0.0789371` Chr`15` : `45,698,793`	0.001	0.999	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.001	0.999	0.000
rs61524473 lBF = `-0.0299072` Chr`15` : `45,646,283`	0.001	0.999	0.000
rs8032416 lBF = `-0.124987` Chr`15` : `62,409,070`	0.000	0.999	0.001
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.001	0.999	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.001	0.999	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs12148337 lBF = `0.0123087` Chr`15` : `70,589,272`	0.000	0.999	0.001
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.001	0.999	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.000	0.999	0.001
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.001	0.999	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	0.999	0.001
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.001	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.000	0.999	0.001
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	0.999	0.001
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	0.999	0.001
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	0.999	0.001
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.001	0.999	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.001	0.999	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.000	0.999	0.001
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.001	0.999	0.000
rs1129038 lBF = `4.88485` Chr`15` : `28,356,859`	0.000	0.999	0.001
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.001	0.999	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.001	0.999	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.999	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.001	0.999	0.000
rs8023580 lBF = `0.411363` Chr`15` : `96,708,291`	0.000	0.999	0.001
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	0.999	0.001
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.001	0.999	0.000
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rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs8035452 lBF = `-0.0444671` Chr`15` : `51,040,798`	0.000	1.000	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	1.000	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.000	1.000	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	1.000	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.000	1.000	0.000
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs4218 lBF = `0.0590071` Chr`15` : `59,428,658`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs11638450 lBF = `-0.0818818` Chr`15` : `81,190,532`	0.000	1.000	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	1.000	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.000	1.000	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.000	1.000	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.000	1.000	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.000	1.000	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.000	1.000	0.000
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.000	1.000	0.000
rs2018860 lBF = `-0.105359` Chr`15` : `99,258,710`	0.000	1.000	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	1.000	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.000	1.000	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	1.000	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	1.000	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	1.000	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs8043119 lBF = `16.5105` Chr`15` : `79,061,002`	0.000	1.000	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.000	1.000	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.000	1.000	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.000	1.000	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.000	1.000	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.000	1.000	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.000	1.000	0.000
rs11071200 lBF = `0.142672` Chr`15` : `55,950,082`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs12913538 lBF = `-0.00548122` Chr`15` : `62,899,160`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	1.000	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	1.000	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	1.000	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.000	1.000	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.000	1.000	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs12594515 lBF = `-0.0698809` Chr`15` : `45,985,071`	0.000	1.000	0.000
rs11638815 lBF = `-0.08113` Chr`15` : `83,352,282`	0.000	1.000	0.000
rs12903146 lBF = `-0.0838897` Chr`15` : `61,854,663`	0.000	1.000	0.000
rs12899811 lBF = `-0.0963806` Chr`15` : `91,544,076`	0.000	1.000	0.000
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.000	1.000	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	1.000	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.000	1.000	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.000	1.000	0.000
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.000	1.000	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	1.000	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	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

0.2024

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1471

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0700

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9951

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9768

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9694

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9289

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9244

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9234

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8889

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8490

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8389

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8387

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8167

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8048

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7982

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7947

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7817

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7693

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7648

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7204

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7015

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6915

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6889

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6640

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6492

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5936

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5914

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5913

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5763

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5454

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5280

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5195

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4696

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4677

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4667

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4583

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4580

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4375

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4215

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4108

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4094

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3746

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3683

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3666

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3551

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3539

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3526

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3461

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3411

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3399

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2828

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2825

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2756

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2694

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2514

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2254

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2172

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2134

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2051

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2000

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1859

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1846

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1808

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1703

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1701

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1591

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1442

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1321

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1264

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1243

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1149

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1039

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0995

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0968

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0953

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0947

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0877

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0820

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0786

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0719

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0711

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0690

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0624

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0616

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0603

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0601

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0601

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0556

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0539

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`)