TreeWAS – [K56.0] Paralytic ileus

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
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.713	0.287	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.710	0.290	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.629	0.371	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.572	0.428	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.524	0.475	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.493	0.507	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.459	0.541	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.457	0.543	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.452	0.547	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.450	0.550	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.428	0.572	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.418	0.582	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.410	0.590	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.405	0.594	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.403	0.597	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.403	0.597	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.398	0.602	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.395	0.605	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.355	0.645	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.345	0.655	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.336	0.664	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.311	0.689	0.001
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.311	0.689	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.298	0.702	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.298	0.702	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.255	0.745	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.250	0.750	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.248	0.751	0.001
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.222	0.777	0.001
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.189	0.811	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.179	0.821	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.170	0.830	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.168	0.832	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.165	0.835	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.154	0.846	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.144	0.856	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.140	0.860	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.126	0.873	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.123	0.877	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.116	0.884	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.115	0.885	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.113	0.887	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.112	0.888	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.111	0.889	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.109	0.891	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.108	0.892	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.105	0.895	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.105	0.895	0.000
rs11158559 lBF = `0.349606` Chr`14` : `65,240,949`	0.104	0.896	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.085	0.914	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.084	0.916	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.083	0.916	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.080	0.920	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.075	0.925	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.000	0.927	0.073
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.061	0.939	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.056	0.944	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.056	0.944	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.056	0.944	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.050	0.950	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.049	0.951	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.039	0.961	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.038	0.961	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.036	0.964	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.028	0.972	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.021	0.979	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.021	0.979	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.020	0.980	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.019	0.981	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.018	0.982	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.017	0.983	0.000
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.016	0.983	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.016	0.984	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.015	0.984	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.015	0.985	0.000
rs7144584 lBF = `0.00567901` Chr`14` : `64,275,812`	0.000	0.985	0.015
rs1998848 lBF = `0.0282524` Chr`14` : `21,492,229`	0.014	0.985	0.000
rs74731421 lBF = `0.938135` Chr`14` : `38,210,286`	0.014	0.986	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.013	0.987	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.013	0.987	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.987	0.012
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.010	0.990	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.009	0.991	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.008	0.992	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.008	0.992	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.008	0.992	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.008	0.992	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.008	0.992	0.000
rs148071215 lBF = `0.123842` Chr`14` : `83,272,653`	0.007	0.993	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.007	0.993	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.006	0.993	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.006	0.993	0.000
rs4293296 lBF = `-0.0459049` Chr`14` : `54,857,286`	0.000	0.993	0.007
rs11623713 lBF = `0.147314` Chr`14` : `99,240,316`	0.006	0.994	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.005	0.995	0.000
rs75575287 lBF = `0.00419909` Chr`14` : `73,222,829`	0.005	0.995	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.005	0.995	0.000
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.995	0.005
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.005	0.995	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.005	0.995	0.000
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.995	0.004
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.004	0.996	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.004	0.996	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.003	0.996	0.000
rs4251631 lBF = `-0.0777794` Chr`14` : `54,876,184`	0.000	0.996	0.004
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.003	0.997	0.000
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.003	0.997	0.000
rs7147996 lBF = `-0.0850978` Chr`14` : `90,396,574`	0.003	0.997	0.000
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.003	0.997	0.000
rs6576132 lBF = `0.0344887` Chr`14` : `28,728,111`	0.002	0.997	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.002	0.998	0.001
rs8008716 lBF = `-0.0388744` Chr`14` : `27,125,765`	0.002	0.998	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.002	0.998	0.000
rs11159647 lBF = `0.664734` Chr`14` : `84,775,209`	0.000	0.998	0.002
rs7159300 lBF = `0.0388465` Chr`14` : `72,883,874`	0.000	0.998	0.002
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.002	0.998	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.002	0.998	0.000
rs7141874 lBF = `-0.0353107` Chr`14` : `65,821,994`	0.000	0.998	0.002
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.001	0.998	0.001
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.002	0.998	0.000
rs10483349 lBF = `-0.0136446` Chr`14` : `29,629,456`	0.002	0.998	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.002	0.998	0.000
rs36059107 lBF = `0.00553917` Chr`14` : `34,237,953`	0.002	0.998	0.000
rs2119704 lBF = `0.00363505` Chr`14` : `88,487,689`	0.002	0.998	0.000
rs10498529 lBF = `6.78445` Chr`14` : `69,770,690`	0.001	0.998	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.001	0.998	0.000
rs191926782 lBF = `0.00081724` Chr`14` : `85,956,171`	0.001	0.998	0.000
rs10162376 lBF = `0.00098877` Chr`14` : `81,030,493`	0.001	0.999	0.000
rs11848070 lBF = `-0.0748382` Chr`14` : `71,507,601`	0.000	0.999	0.001
rs57602116 lBF = `0.0008998` Chr`14` : `95,283,220`	0.001	0.999	0.000
rs115169421 lBF = `0.00090948` Chr`14` : `96,093,847`	0.001	0.999	0.000
rs8016620 lBF = `0.00254963` Chr`14` : `97,393,685`	0.001	0.999	0.000
rs2143963 lBF = `0.00021584` Chr`14` : `54,723,923`	0.001	0.999	0.000
rs8017304 lBF = `-0.00927861` Chr`14` : `68,785,077`	0.001	0.999	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.001	0.999	0.000
rs146750542 lBF = `0.00058545` Chr`14` : `32,500,171`	0.001	0.999	0.000
rs61985136 lBF = `-0.0305226` Chr`14` : `68,769,199`	0.001	0.999	0.000
rs12050161 lBF = `-0.0594686` Chr`14` : `69,360,631`	0.001	0.999	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.001	0.999	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.001	0.999	0.000
rs80073712 lBF = `-0.0061084` Chr`14` : `21,207,775`	0.001	0.999	0.000
rs28489712 lBF = `0.00036831` Chr`14` : `55,483,786`	0.001	0.999	0.000
rs7158173 lBF = `-0.0840089` Chr`14` : `65,645,250`	0.001	0.999	0.000
rs4903031 lBF = `-0.0214912` Chr`14` : `73,019,236`	0.001	0.999	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.001	0.999	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.001	0.999	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.001	0.999	0.000
rs11851015 lBF = `0.0263039` Chr`14` : `57,669,533`	0.001	0.999	0.000
rs869834 lBF = `-0.0005937` Chr`14` : `63,177,144`	0.001	0.999	0.000
rs139134142 lBF = `0.00018876` Chr`14` : `92,069,489`	0.001	0.999	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.001	0.999	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.001	0.999	0.000
rs1956529 lBF = `0.0214888` Chr`14` : `68,788,924`	0.001	0.999	0.000
rs1741439 lBF = `0.00003122` Chr`14` : `92,702,596`	0.001	0.999	0.000
rs192253363 lBF = `0` Chr`14` : `85,973,400`	0.001	0.999	0.001
rs74492808 lBF = `0` Chr`14` : `28,591,883`	0.001	0.999	0.001
rs10139550 lBF = `0` Chr`14` : `100,145,710`	0.001	0.999	0.001
rs7147503 lBF = `0` Chr`14` : `101,539,384`	0.001	0.999	0.001
rs192522312 lBF = `0` Chr`14` : `47,082,471`	0.001	0.999	0.001
rs8012283 lBF = `0` Chr`14` : `51,234,160`	0.001	0.999	0.001
rs181902743 lBF = `0` Chr`14` : `81,130,189`	0.001	0.999	0.001
rs4905994 lBF = `0` Chr`14` : `101,154,072`	0.001	0.999	0.001
rs79503702 lBF = `0` Chr`14` : `50,206,170`	0.001	0.999	0.001
rs140660435 lBF = `0` Chr`14` : `84,292,263`	0.001	0.999	0.001
rs190971703 lBF = `0` Chr`14` : `28,543,476`	0.001	0.999	0.001
rs2400749 lBF = `0` Chr`14` : `100,037,018`	0.001	0.999	0.001
rs1950626 lBF = `0` Chr`14` : `101,373,973`	0.001	0.999	0.001
rs17122693 lBF = `0` Chr`14` : `51,084,235`	0.001	0.999	0.001
rs149065551 lBF = `0` Chr`14` : `89,542,621`	0.001	0.999	0.001
rs6575793 lBF = `0` Chr`14` : `101,032,217`	0.001	0.999	0.001
rs1530947 lBF = `0` Chr`14` : `49,951,350`	0.001	0.999	0.001
rs1959536 lBF = `0` Chr`14` : `51,446,771`	0.001	0.999	0.001
rs2664299 lBF = `0` Chr`14` : `99,742,187`	0.001	0.999	0.001
rs941576 lBF = `0` Chr`14` : `101,306,045`	0.001	0.999	0.001
rs1265879 lBF = `0` Chr`14` : `50,877,983`	0.001	0.999	0.001
rs190480000 lBF = `0` Chr`14` : `82,031,121`	0.001	0.999	0.001
rs116335274 lBF = `0` Chr`14` : `28,614,388`	0.001	0.999	0.001
rs7157599 lBF = `0` Chr`14` : `100,625,902`	0.001	0.999	0.001
rs8008758 lBF = `0` Chr`14` : `101,690,045`	0.001	0.999	0.001
rs188669819 lBF = `0` Chr`14` : `47,351,022`	0.001	0.999	0.001
rs1953884 lBF = `0` Chr`14` : `51,326,166`	0.001	0.999	0.001
rs72698726 lBF = `0` Chr`14` : `101,188,618`	0.001	0.999	0.001
rs147168872 lBF = `0` Chr`14` : `50,639,995`	0.001	0.999	0.001
rs114791918 lBF = `0` Chr`14` : `28,598,027`	0.001	0.999	0.001
rs3742377 lBF = `0` Chr`14` : `100,166,228`	0.001	0.999	0.001
rs915364 lBF = `0` Chr`14` : `101,598,942`	0.001	0.999	0.001
rs76096589 lBF = `0` Chr`14` : `51,264,126`	0.001	0.999	0.001
rs192180133 lBF = `0` Chr`14` : `52,332,246`	0.001	0.999	0.001
rs192030704 lBF = `0` Chr`14` : `27,246,847`	0.001	0.999	0.001
rs138064340 lBF = `0` Chr`14` : `97,609,902`	0.001	0.999	0.001
rs7149242 lBF = `0` Chr`14` : `101,159,416`	0.001	0.999	0.001
rs10138297 lBF = `0` Chr`14` : `50,485,327`	0.001	0.999	0.001
rs138048027 lBF = `0` Chr`14` : `84,474,297`	0.001	0.999	0.001
rs146868790 lBF = `0` Chr`14` : `24,574,916`	0.001	0.999	0.001
rs115034739 lBF = `0` Chr`14` : `28,586,848`	0.001	0.999	0.001
rs2895811 lBF = `0` Chr`14` : `100,133,942`	0.001	0.999	0.001
rs10145110 lBF = `0` Chr`14` : `101,474,870`	0.001	0.999	0.001
rs181881613 lBF = `0` Chr`14` : `40,305,574`	0.001	0.999	0.001
rs191755093 lBF = `0` Chr`14` : `46,564,655`	0.001	0.999	0.001
rs8020441 lBF = `0` Chr`14` : `51,170,879`	0.001	0.999	0.001
rs730570 lBF = `0` Chr`14` : `101,142,890`	0.001	0.999	0.001
rs2985684 lBF = `0` Chr`14` : `50,101,682`	0.001	0.999	0.001
rs185677526 lBF = `0` Chr`14` : `85,942,061`	0.001	0.999	0.001
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rs11847697 lBF = `0.027204` Chr`14` : `30,515,112`	0.000	1.000	0.000
rs17125944 lBF = `0.0176287` Chr`14` : `53,400,629`	0.000	1.000	0.000
rs117297873 lBF = `0.00850646` Chr`14` : `91,870,330`	0.000	1.000	0.000
rs2144051 lBF = `-0.00137135` Chr`14` : `97,544,573`	0.000	1.000	0.000
rs7148498 lBF = `-0.0201924` Chr`14` : `96,107,955`	0.000	1.000	0.000
rs76788097 lBF = `-0.0232487` Chr`14` : `61,729,493`	0.000	1.000	0.000
rs7147705 lBF = `-0.0446667` Chr`14` : `80,002,096`	0.000	1.000	0.000
rs10132493 lBF = `-0.0668903` Chr`14` : `83,577,467`	0.000	1.000	0.000
rs878889 lBF = `-0.0707437` Chr`14` : `57,221,139`	0.000	1.000	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.000	1.000	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.000	1.000	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.000	1.000	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.000	1.000	0.000
rs77503186 lBF = `2.07551` Chr`14` : `93,071,536`	0.000	1.000	0.000
rs72697297 lBF = `2.03751` Chr`14` : `93,069,989`	0.000	1.000	0.000
rs72697295 lBF = `2.03153` Chr`14` : `93,069,980`	0.000	1.000	0.000
rs75070309 lBF = `2.01163` Chr`14` : `93,072,476`	0.000	1.000	0.000
rs72699804 lBF = `2.00844` Chr`14` : `93,071,806`	0.000	1.000	0.000
rs75662783 lBF = `2.00372` Chr`14` : `93,072,152`	0.000	1.000	0.000
rs11621587 lBF = `1.98468` Chr`14` : `93,098,339`	0.000	1.000	0.000
rs35629566 lBF = `1.97563` Chr`14` : `93,072,317`	0.000	1.000	0.000
rs11627441 lBF = `1.94777` Chr`14` : `93,099,234`	0.000	1.000	0.000
rs79596128 lBF = `1.94747` Chr`14` : `93,074,447`	0.000	1.000	0.000
rs7146689 lBF = `1.94395` Chr`14` : `93,100,024`	0.000	1.000	0.000
rs72699818 lBF = `1.91398` Chr`14` : `93,077,611`	0.000	1.000	0.000
rs11623779 lBF = `1.89781` Chr`14` : `93,096,391`	0.000	1.000	0.000
rs112370326 lBF = `1.89405` Chr`14` : `93,078,333`	0.000	1.000	0.000
rs10498635 lBF = `1.83542` Chr`14` : `93,103,309`	0.000	1.000	0.000
rs72699846 lBF = `1.82583` Chr`14` : `93,098,617`	0.000	1.000	0.000
rs7141996 lBF = `1.81526` Chr`14` : `93,094,298`	0.000	1.000	0.000
rs7143806 lBF = `1.77255` Chr`14` : `93,103,729`	0.000	1.000	0.000
rs17184313 lBF = `1.72318` Chr`14` : `93,102,251`	0.000	1.000	0.000
rs8010344 lBF = `1.67175` Chr`14` : `93,086,918`	0.000	1.000	0.000
rs11622887 lBF = `0.565548` Chr`14` : `95,942,447`	0.000	1.000	0.000
rs10151686 lBF = `0.169654` Chr`14` : `30,466,466`	0.000	1.000	0.000
rs4899554 lBF = `0.099145` Chr`14` : `75,701,221`	0.000	1.000	0.000
rs2076751 lBF = `0.0980318` Chr`14` : `36,989,419`	0.000	1.000	0.000
rs17124581 lBF = `0.0823776` Chr`14` : `88,826,682`	0.000	1.000	0.000
rs10498514 lBF = `0.0521203` Chr`14` : `64,899,055`	0.000	1.000	0.000
rs116002988 lBF = `0.00796389` Chr`14` : `99,457,437`	0.000	1.000	0.000
rs76752037 lBF = `0.00388596` Chr`14` : `105,728,197`	0.000	1.000	0.000
rs4982029 lBF = `0.00185534` Chr`14` : `33,476,266`	0.000	1.000	0.000
rs2068012 lBF = `0.0015476` Chr`14` : `30,190,316`	0.000	1.000	0.000
rs75987388 lBF = `-0.0128527` Chr`14` : `70,385,707`	0.000	1.000	0.000
rs7158359 lBF = `-0.0194496` Chr`14` : `89,594,295`	0.000	1.000	0.000
rs3811273 lBF = `-0.026019` Chr`14` : `22,715,158`	0.000	1.000	0.000
rs56146971 lBF = `-0.0277407` Chr`14` : `91,920,101`	0.000	1.000	0.000
rs1009170 lBF = `-0.0324702` Chr`14` : `92,636,713`	0.000	1.000	0.000
rs1998359 lBF = `-0.0514601` Chr`14` : `38,077,148`	0.000	1.000	0.000
rs11158345 lBF = `-0.0553138` Chr`14` : `61,895,045`	0.000	1.000	0.000
rs4902562 lBF = `-0.0571821` Chr`14` : `68,731,458`	0.000	1.000	0.000
rs7158782 lBF = `-0.0686949` Chr`14` : `96,169,131`	0.000	1.000	0.000
rs8014907 lBF = `-0.0870486` Chr`14` : `92,800,004`	0.000	1.000	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.000	1.000	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.000	1.000	0.000
rs35458303 lBF = `7.51936` Chr`14` : `21,923,368`	0.000	1.000	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.000	1.000	0.000
rs72699855 lBF = `2.52398` Chr`14` : `93,105,953`	0.000	1.000	0.000
rs11624512 lBF = `2.09711` Chr`14` : `93,111,120`	0.000	1.000	0.000
rs1075472 lBF = `1.868` Chr`14` : `93,108,131`	0.000	1.000	0.000
rs72699866 lBF = `1.85022` Chr`14` : `93,114,787`	0.000	1.000	0.000
rs112560164 lBF = `1.79004` Chr`14` : `93,112,924`	0.000	1.000	0.000
rs117068593 lBF = `1.3339` Chr`14` : `93,118,229`	0.000	1.000	0.000
rs116909374 lBF = `0.909579` Chr`14` : `36,738,361`	0.000	1.000	0.000
rs10143866 lBF = `0.194572` Chr`14` : `52,884,355`	0.000	1.000	0.000
rs2341534 lBF = `0.187922` Chr`14` : `55,784,737`	0.000	1.000	0.000
rs10131141 lBF = `0.119752` Chr`14` : `21,261,733`	0.000	1.000	0.000
rs78242330 lBF = `0.0937644` Chr`14` : `93,111,715`	0.000	1.000	0.000
rs10143078 lBF = `0.0301057` Chr`14` : `70,881,489`	0.000	1.000	0.000
rs12897644 lBF = `0.0206732` Chr`14` : `95,838,401`	0.000	1.000	0.000
rs3783863 lBF = `0.0157879` Chr`14` : `89,776,745`	0.000	1.000	0.000
rs7147087 lBF = `0.00910278` Chr`14` : `59,236,307`	0.000	1.000	0.000
rs751837 lBF = `-0.00319414` Chr`14` : `103,484,825`	0.000	1.000	0.000
rs111803315 lBF = `-0.00872891` Chr`14` : `59,965,293`	0.000	1.000	0.000
rs11158026 lBF = `-0.0190821` Chr`14` : `55,348,869`	0.000	1.000	0.000
rs117097805 lBF = `-0.0216567` Chr`14` : `43,529,765`	0.000	1.000	0.000
rs1380131 lBF = `-0.0355436` Chr`14` : `54,072,858`	0.000	1.000	0.000
rs8192917 lBF = `-0.0376975` Chr`14` : `25,102,160`	0.000	1.000	0.000
rs1570106 lBF = `-0.0460184` Chr`14` : `68,813,115`	0.000	1.000	0.000
rs7157940 lBF = `-0.0924861` Chr`14` : `94,563,193`	0.000	1.000	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.000	1.000	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.000	1.000	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.000	1.000	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.000	1.000	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.000	1.000	0.000
rs754388 lBF = `2.27045` Chr`14` : `93,115,410`	0.000	1.000	0.000
rs61280460 lBF = `1.0785` Chr`14` : `94,796,184`	0.000	1.000	0.000
rs34310550 lBF = `0.169665` Chr`14` : `38,912,395`	0.000	1.000	0.000
rs398652 lBF = `0.167566` Chr`14` : `56,525,569`	0.000	1.000	0.000
rs4901977 lBF = `0.151587` Chr`14` : `60,789,176`	0.000	1.000	0.000
rs1508945 lBF = `0.0681269` Chr`14` : `58,034,570`	0.000	1.000	0.000
rs8021963 lBF = `0.0406131` Chr`14` : `90,298,275`	0.000	1.000	0.000
rs1187614 lBF = `0.0221494` Chr`14` : `95,671,871`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9940

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9765

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9462

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9408

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9365

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9319

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9262

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9165

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9111

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9091

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8979

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8639

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8636

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8566

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8418

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8320

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8139

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8130

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7948

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7859

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7653

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7635

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7434

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7317

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7303

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7303

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7162

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7086

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7015

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6911

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6880

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6844

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6837

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6837

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6602

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6591

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6381

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6353

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6205

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5952

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5742

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5564

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5373

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5281

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5224

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4940

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4820

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4773

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4698

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3969

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3846

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3119

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3119

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3036

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2917

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2683

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2628

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2620

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2338

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2170

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1983

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1947

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1777

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1728

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1660

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1537

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1468

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1122

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1066

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1051

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0896

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`)