TreeWAS – [R23.4] Changes in skin texture

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
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.686	0.314	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.682	0.318	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.617	0.383	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.605	0.395	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.581	0.419	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.557	0.443	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.547	0.453	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.545	0.454	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.530	0.470	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.510	0.490	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.504	0.496	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.498	0.502	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.494	0.506	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.486	0.514	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.479	0.520	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.472	0.528	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.461	0.539	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.444	0.556	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.443	0.557	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.438	0.562	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.432	0.568	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.431	0.569	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.429	0.570	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.428	0.572	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.427	0.572	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.426	0.574	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.418	0.581	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.416	0.584	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.409	0.591	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.408	0.592	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.407	0.593	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.405	0.595	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.404	0.596	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.403	0.596	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.401	0.599	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.399	0.601	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.397	0.603	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.395	0.604	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.386	0.614	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.379	0.620	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.368	0.631	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.364	0.635	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.351	0.649	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.349	0.651	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.349	0.651	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.344	0.656	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.342	0.657	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.337	0.663	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.333	0.667	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.329	0.671	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.323	0.676	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.313	0.687	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.302	0.697	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.299	0.701	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.288	0.712	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.283	0.717	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.274	0.726	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.271	0.729	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.256	0.744	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.247	0.752	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.246	0.753	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.754	0.246
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.244	0.756	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.241	0.759	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.231	0.769	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.230	0.770	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.226	0.773	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.225	0.775	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.211	0.788	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.201	0.798	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.198	0.802	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.177	0.823	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.168	0.831	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.168	0.831	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.165	0.835	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.164	0.836	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.157	0.843	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.151	0.849	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.150	0.850	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.146	0.854	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.144	0.855	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.141	0.859	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.139	0.860	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.138	0.862	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.127	0.873	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.124	0.876	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.111	0.888	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.093	0.907	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.091	0.908	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.088	0.912	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.088	0.912	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.088	0.912	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.081	0.919	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.079	0.921	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.076	0.924	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.075	0.924	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.075	0.925	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.065	0.935	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.058	0.942	0.000
rs1092015 lBF = `1.59496` Chr`14` : `58,200,725`	0.000	0.944	0.056
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.055	0.945	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.052	0.947	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.049	0.951	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.049	0.951	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.048	0.952	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.043	0.957	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.040	0.960	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.038	0.962	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.036	0.964	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.026	0.973	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.026	0.974	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.024	0.975	0.001
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.024	0.976	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.024	0.976	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.023	0.977	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.022	0.978	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.021	0.978	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.017	0.982	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.017	0.983	0.000
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.017	0.983	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.016	0.984	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.015	0.984	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.015	0.985	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.014	0.986	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.012	0.987	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.012	0.988	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.010	0.989	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.010	0.990	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.009	0.990	0.000
rs7148147 lBF = `5.89661` Chr`14` : `50,074,520`	0.000	0.990	0.009
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.008	0.992	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.007	0.992	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.007	0.993	0.000
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.007	0.993	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.007	0.993	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.006	0.993	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.006	0.993	0.000
rs2803904 lBF = `-0.0555828` Chr`14` : `38,641,706`	0.000	0.994	0.006
rs72678071 lBF = `6.2551` Chr`14` : `50,071,603`	0.000	0.994	0.006
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.006	0.994	0.000
rs8014204 lBF = `-0.068306` Chr`14` : `75,322,794`	0.000	0.994	0.006
rs10148671 lBF = `-0.0309882` Chr`14` : `29,469,373`	0.000	0.994	0.006
rs1998359 lBF = `-0.0514601` Chr`14` : `38,077,148`	0.000	0.995	0.005
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.005	0.995	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.005	0.995	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.004	0.995	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.004	0.995	0.000
rs10151686 lBF = `0.169654` Chr`14` : `30,466,466`	0.004	0.996	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.004	0.996	0.000
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.996	0.004
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.004	0.996	0.000
rs722599 lBF = `-0.086556` Chr`14` : `75,327,443`	0.000	0.996	0.004
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.003	0.997	0.000
rs4899260 lBF = `0.108481` Chr`14` : `69,278,204`	0.000	0.997	0.003
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.003	0.997	0.000
rs11844632 lBF = `2.74782` Chr`14` : `69,026,379`	0.000	0.997	0.003
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.003	0.997	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.003	0.997	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.003	0.997	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.003	0.997	0.000
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.002	0.997	0.000
rs11627056 lBF = `0.104874` Chr`14` : `47,454,986`	0.003	0.997	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.002	0.998	0.000
rs58694847 lBF = `0.101556` Chr`14` : `84,916,511`	0.000	0.998	0.002
rs45490496 lBF = `-0.0601836` Chr`14` : `105,272,678`	0.002	0.998	0.000
rs11158820 lBF = `0.203723` Chr`14` : `70,347,348`	0.002	0.998	0.000
rs223116 lBF = `-0.0734359` Chr`14` : `23,977,010`	0.000	0.998	0.002
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.002	0.998	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.002	0.998	0.000
rs862946 lBF = `-0.0100431` Chr`14` : `26,488,467`	0.000	0.998	0.002
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.002	0.998	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.002	0.998	0.000
rs1958023 lBF = `-0.0975792` Chr`14` : `33,677,203`	0.000	0.998	0.002
rs367677 lBF = `-0.0506718` Chr`14` : `69,273,090`	0.002	0.998	0.000
rs17564083 lBF = `5.59903` Chr`14` : `29,967,193`	0.002	0.998	0.000
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.001	0.998	0.000
rs74731421 lBF = `0.938135` Chr`14` : `38,210,286`	0.001	0.998	0.000
rs194749 lBF = `-0.0240843` Chr`14` : `69,273,905`	0.002	0.998	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.001	0.998	0.000
rs999737 lBF = `3.00904` Chr`14` : `69,034,682`	0.000	0.998	0.002
rs4144027 lBF = `1.9022` Chr`14` : `104,357,638`	0.000	0.998	0.002
rs12100649 lBF = `0.0300728` Chr`14` : `46,006,240`	0.000	0.998	0.001
rs1998848 lBF = `0.0282524` Chr`14` : `21,492,229`	0.001	0.998	0.000
rs8015959 lBF = `0.00116327` Chr`14` : `33,480,922`	0.001	0.998	0.000
rs724210 lBF = `-0.00634329` Chr`14` : `97,523,745`	0.000	0.999	0.001
rs84044 lBF = `0.0616679` Chr`14` : `75,916,464`	0.000	0.999	0.001
rs10142119 lBF = `0.0571064` Chr`14` : `98,486,545`	0.000	0.999	0.001
rs1456988 lBF = `0.0525834` Chr`14` : `98,488,007`	0.000	0.999	0.001
rs17102423 lBF = `1.06595` Chr`14` : `65,604,728`	0.000	0.999	0.001
rs57602116 lBF = `0.0008998` Chr`14` : `95,283,220`	0.001	0.999	0.000
rs57561811 lBF = `0.0781139` Chr`14` : `61,572,178`	0.001	0.999	0.000
rs33912345 lBF = `2.91634` Chr`14` : `60,976,537`	0.001	0.999	0.000
rs10483727 lBF = `2.90653` Chr`14` : `61,072,875`	0.001	0.999	0.000
rs10162376 lBF = `0.00098877` Chr`14` : `81,030,493`	0.001	0.999	0.000
rs4904670 lBF = `0.00098541` Chr`14` : `90,770,210`	0.000	0.999	0.001
rs2281680 lBF = `0.305208` Chr`14` : `24,033,070`	0.001	0.999	0.000
rs6573333 lBF = `0.106706` Chr`14` : `61,308,337`	0.000	0.999	0.001
rs4322600 lBF = `-0.0801717` Chr`14` : `88,295,600`	0.000	0.999	0.001
rs1254276 lBF = `3.31854` Chr`14` : `60,847,001`	0.000	0.999	0.001
rs4982029 lBF = `0.00185534` Chr`14` : `33,476,266`	0.001	0.999	0.000
rs191926782 lBF = `0.00081724` Chr`14` : `85,956,171`	0.001	0.999	0.000
rs4983559 lBF = `-0.00667382` Chr`14` : `105,277,209`	0.001	0.999	0.000
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rs72699855 lBF = `2.52398` Chr`14` : `93,105,953`	0.000	0.999	0.001
rs3783938 lBF = `0.0404748` Chr`14` : `81,594,380`	0.000	0.999	0.001
rs17111920 lBF = `-0.00597461` Chr`14` : `27,406,892`	0.000	0.999	0.000
rs11622412 lBF = `-0.012084` Chr`14` : `38,683,261`	0.000	0.999	0.000
rs6574988 lBF = `-0.0473908` Chr`14` : `88,559,992`	0.000	0.999	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.000	0.999	0.000
rs1075472 lBF = `1.868` Chr`14` : `93,108,131`	0.000	0.999	0.001
rs8010717 lBF = `0.425189` Chr`14` : `80,410,441`	0.000	0.999	0.000
rs11627075 lBF = `0.0363587` Chr`14` : `94,972,242`	0.000	0.999	0.000
rs12432260 lBF = `0.00383996` Chr`14` : `95,848,294`	0.000	0.999	0.000
rs118166657 lBF = `-0.00663862` Chr`14` : `64,047,262`	0.000	0.999	0.000
rs35862341 lBF = `-0.0081052` Chr`14` : `56,361,738`	0.000	0.999	0.000
rs11624776 lBF = `-0.0828282` Chr`14` : `93,595,591`	0.000	0.999	0.001
rs935334 lBF = `-0.0862584` Chr`14` : `76,613,678`	0.000	0.999	0.001
rs11159086 lBF = `2.46915` Chr`14` : `74,962,275`	0.001	0.999	0.000
rs117068593 lBF = `1.3339` Chr`14` : `93,118,229`	0.000	0.999	0.001
rs76745467 lBF = `0.113511` Chr`14` : `69,426,389`	0.000	0.999	0.000
rs216518 lBF = `0.101892` Chr`14` : `60,683,430`	0.000	0.999	0.000
rs12897644 lBF = `0.0206732` Chr`14` : `95,838,401`	0.000	0.999	0.000
rs117167774 lBF = `-0.00757823` Chr`14` : `48,823,885`	0.000	0.999	0.000
rs10484157 lBF = `-0.0207036` Chr`14` : `83,789,345`	0.000	0.999	0.000
rs4902562 lBF = `-0.0571821` Chr`14` : `68,731,458`	0.000	0.999	0.001
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.000	0.999	0.000
rs11624512 lBF = `2.09711` Chr`14` : `93,111,120`	0.000	0.999	0.000
rs77503186 lBF = `2.07551` Chr`14` : `93,071,536`	0.000	0.999	0.001
rs72697297 lBF = `2.03751` Chr`14` : `93,069,989`	0.000	0.999	0.001
rs72697295 lBF = `2.03153` Chr`14` : `93,069,980`	0.000	0.999	0.001
rs75070309 lBF = `2.01163` Chr`14` : `93,072,476`	0.000	0.999	0.001
rs72699804 lBF = `2.00844` Chr`14` : `93,071,806`	0.000	0.999	0.001
rs75662783 lBF = `2.00372` Chr`14` : `93,072,152`	0.000	0.999	0.001
rs35629566 lBF = `1.97563` Chr`14` : `93,072,317`	0.000	0.999	0.001
rs79596128 lBF = `1.94747` Chr`14` : `93,074,447`	0.000	0.999	0.001
rs72699818 lBF = `1.91398` Chr`14` : `93,077,611`	0.000	0.999	0.001
rs112370326 lBF = `1.89405` Chr`14` : `93,078,333`	0.000	0.999	0.001
rs732765 lBF = `0.165511` Chr`14` : `75,365,729`	0.000	0.999	0.000
rs1959122 lBF = `0.0516474` Chr`14` : `82,337,665`	0.000	0.999	0.000
rs2144051 lBF = `-0.00137135` Chr`14` : `97,544,573`	0.000	0.999	0.000
rs8005745 lBF = `-0.00505689` Chr`14` : `62,185,295`	0.000	0.999	0.000
rs80073712 lBF = `-0.0061084` Chr`14` : `21,207,775`	0.000	0.999	0.000
rs75987388 lBF = `-0.0128527` Chr`14` : `70,385,707`	0.000	0.999	0.000
rs4902141 lBF = `-0.0170287` Chr`14` : `62,968,395`	0.000	0.999	0.000
rs10400694 lBF = `-0.0190878` Chr`14` : `84,613,894`	0.000	0.999	0.001
rs6574644 lBF = `-0.0254006` Chr`14` : `81,778,644`	0.000	0.999	0.000
rs2069590 lBF = `-0.0374927` Chr`14` : `96,708,782`	0.000	0.999	0.001
rs12435908 lBF = `-0.0513858` Chr`14` : `66,121,468`	0.000	0.999	0.000
rs72699866 lBF = `1.85022` Chr`14` : `93,114,787`	0.000	0.999	0.000
rs112560164 lBF = `1.79004` Chr`14` : `93,112,924`	0.000	0.999	0.000
rs12898084 lBF = `1.78487` Chr`14` : `56,253,404`	0.000	0.999	0.000
rs2842339 lBF = `0.299744` Chr`14` : `68,986,999`	0.000	0.999	0.000
rs1950897 lBF = `0.161375` Chr`14` : `68,760,141`	0.000	0.999	0.000
rs4904947 lBF = `0.107386` Chr`14` : `92,972,162`	0.000	0.999	0.000
rs4899554 lBF = `0.099145` Chr`14` : `75,701,221`	0.000	0.999	0.000
rs10143078 lBF = `0.0301057` Chr`14` : `70,881,489`	0.000	0.999	0.000
rs35209784 lBF = `0.00609035` Chr`14` : `59,751,830`	0.000	0.999	0.000
rs12587630 lBF = `0.00440685` Chr`14` : `38,066,575`	0.000	0.999	0.000
rs75575287 lBF = `0.00419909` Chr`14` : `73,222,829`	0.000	0.999	0.000
rs2810114 lBF = `-0.00347665` Chr`14` : `71,395,604`	0.000	0.999	0.000
rs76788097 lBF = `-0.0232487` Chr`14` : `61,729,493`	0.000	0.999	0.000
rs1982963 lBF = `-0.0313254` Chr`14` : `52,509,101`	0.000	0.999	0.000
rs11627546 lBF = `-0.0392927` Chr`14` : `70,365,924`	0.000	0.999	0.000
rs10136789 lBF = `-0.0440439` Chr`14` : `63,356,253`	0.000	0.999	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.000	0.999	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.000	0.999	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.999	0.000
rs17127713 lBF = `0.0575476` Chr`14` : `55,122,918`	0.000	0.999	0.000
rs1958581 lBF = `0.0051135` Chr`14` : `34,801,599`	0.000	0.999	0.000
rs111803315 lBF = `-0.00872891` Chr`14` : `59,965,293`	0.000	0.999	0.000
rs2877649 lBF = `-0.0161482` Chr`14` : `24,954,002`	0.000	0.999	0.000
rs7156510 lBF = `-0.0172942` Chr`14` : `84,603,163`	0.000	0.999	0.000
rs56146971 lBF = `-0.0277407` Chr`14` : `91,920,101`	0.000	0.999	0.000
rs12895275 lBF = `-0.0366563` Chr`14` : `72,716,515`	0.000	0.999	0.000
rs7157940 lBF = `-0.0924861` Chr`14` : `94,563,193`	0.000	0.999	0.000
rs754388 lBF = `2.27045` Chr`14` : `93,115,410`	0.000	0.999	0.000
rs2402444 lBF = `0.955774` Chr`14` : `94,765,672`	0.000	0.999	0.000
rs7140285 lBF = `0.872006` Chr`14` : `88,462,988`	0.000	0.999	0.000
rs17772222 lBF = `0.689321` Chr`14` : `88,826,482`	0.000	0.999	0.000
rs1987778 lBF = `0.594574` Chr`14` : `71,715,863`	0.000	0.999	0.000
rs7145202 lBF = `0.260087` Chr`14` : `23,092,105`	0.000	0.999	0.000
rs2784505 lBF = `0.111834` Chr`14` : `62,432,013`	0.000	0.999	0.000
rs17280262 lBF = `0.00291272` Chr`14` : `97,053,924`	0.000	0.999	0.000
rs79578553 lBF = `0.00155831` Chr`14` : `61,595,747`	0.000	0.999	0.000
rs7147624 lBF = `-0.0173765` Chr`14` : `65,865,625`	0.000	0.999	0.000
rs4898878 lBF = `-0.0339318` Chr`14` : `56,393,106`	0.000	0.999	0.000
rs17460823 lBF = `-0.0444598` Chr`14` : `33,586,563`	0.000	0.999	0.000
rs77828254 lBF = `-0.0491809` Chr`14` : `32,225,501`	0.000	0.999	0.000
rs7153703 lBF = `-0.0704082` Chr`14` : `51,919,822`	0.000	0.999	0.000
rs7140150 lBF = `-0.109488` Chr`14` : `52,010,799`	0.000	0.999	0.000
rs8005161 lBF = `2.02207` Chr`14` : `88,472,595`	0.000	1.000	0.000
rs11627441 lBF = `1.94777` Chr`14` : `93,099,234`	0.000	1.000	0.000
rs10498635 lBF = `1.83542` Chr`14` : `93,103,309`	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
rs12590437 lBF = `0.314604` Chr`14` : `38,447,092`	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

0.3084

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1678

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0813

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9703

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9703

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9608

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9459

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9288

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9133

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9100

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9051

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9036

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8988

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8941

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8914

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8900

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8824

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8807

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8800

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8770

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8707

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8675

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8594

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8546

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8493

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8482

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8454

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8448

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8412

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8245

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8203

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8138

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8129

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8121

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8100

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8042

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8015

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8005

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7976

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7953

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7898

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7890

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7863

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7857

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7857

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7842

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7717

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7642

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7562

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7562

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7545

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7529

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7521

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7461

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7419

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7389

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7362

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7324

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7313

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7307

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7294

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7253

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7170

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7153

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7129

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7042

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7023

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7000

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6921

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6844

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6840

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6837

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6766

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6749

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6590

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6576

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6546

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6543

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6493

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6455

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6368

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6277

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6181

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6084

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6070

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6046

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5945

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5898

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5824

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5795

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5728

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5707

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5704

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5664

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5501

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4875

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4766

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4748

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4631

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4601

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4539

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4452

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4420

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4180

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3861

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3376

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3371

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3264

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3240

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3152

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3003

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2854

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2850

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2766

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2577

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2563

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2521

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2473

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2433

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2402

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2390

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2259

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2207

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2134

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2123

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2111

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2095

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2014

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1963

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1927

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1904

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1665

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1664

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1631

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1583

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1540

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1523

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1506

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1462

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1300

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1259

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1238

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1179

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1105

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0851

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0794

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0773

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0732

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0694

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0693

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0632

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0613

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0607

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0585

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0583

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0519

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`)