TreeWAS – [R54] Senility

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
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.940	0.060	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.843	0.157	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.835	0.165	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.823	0.177	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.811	0.189	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.797	0.203	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.771	0.229	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.768	0.232	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.753	0.246	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.738	0.262	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.733	0.267	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.714	0.286	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.708	0.292	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.707	0.293	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.690	0.310	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.688	0.312	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.665	0.335	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.647	0.353	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.634	0.366	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.633	0.367	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.632	0.368	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.617	0.383	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.612	0.388	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.596	0.404	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.590	0.410	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.588	0.412	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.577	0.423	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.574	0.426	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.564	0.436	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.548	0.452	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.543	0.457	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.538	0.461	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.521	0.479	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.520	0.480	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.492	0.508	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.481	0.519	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.479	0.521	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.478	0.522	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.456	0.543	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.452	0.548	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.445	0.555	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.443	0.557	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.438	0.562	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.427	0.573	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.425	0.575	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.411	0.589	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.400	0.599	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.394	0.606	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.391	0.609	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.379	0.621	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.371	0.629	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.368	0.632	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.359	0.641	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.356	0.644	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.353	0.647	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.353	0.647	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.326	0.674	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.324	0.676	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.318	0.682	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.299	0.701	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.295	0.705	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.282	0.718	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.278	0.722	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.269	0.731	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.265	0.734	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.263	0.737	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.255	0.745	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.249	0.751	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.248	0.752	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.225	0.775	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.222	0.778	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.222	0.778	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.209	0.790	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.200	0.800	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.198	0.802	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.193	0.807	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.193	0.807	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.191	0.809	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.185	0.814	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.181	0.819	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.165	0.835	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.151	0.848	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.150	0.850	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.149	0.851	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.144	0.856	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.137	0.863	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.130	0.870	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.124	0.876	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.115	0.885	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.111	0.889	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.108	0.892	0.000
rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.106	0.894	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.095	0.905	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.092	0.908	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.084	0.916	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.080	0.920	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.078	0.922	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.075	0.925	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.074	0.926	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.074	0.926	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.071	0.929	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.070	0.930	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.069	0.931	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.066	0.934	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.064	0.936	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.064	0.936	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.059	0.941	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.053	0.947	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.052	0.948	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.048	0.952	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.048	0.952	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.047	0.953	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.047	0.953	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.047	0.953	0.000
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.956	0.044
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.042	0.958	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.042	0.958	0.000
rs116841826 lBF = `21.5796` Chr`7` : `150,543,427`	0.037	0.963	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.035	0.964	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.033	0.967	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.032	0.968	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.031	0.969	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.028	0.971	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.028	0.972	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.028	0.972	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.027	0.972	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.027	0.973	0.000
rs13230047 lBF = `0.00066001` Chr`7` : `36,961,320`	0.024	0.976	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.023	0.977	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.022	0.978	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.019	0.980	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.019	0.981	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.018	0.982	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.018	0.982	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.016	0.984	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.015	0.985	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.015	0.985	0.000
rs11766298 lBF = `0.402607` Chr`7` : `129,004,847`	0.015	0.985	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.014	0.985	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.014	0.986	0.000
rs4723619 lBF = `0.12456` Chr`7` : `37,266,352`	0.014	0.986	0.000
rs2718058 lBF = `-0.0705909` Chr`7` : `37,841,534`	0.013	0.987	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.012	0.987	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.012	0.988	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.012	0.988	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.011	0.989	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.010	0.990	0.000
rs117530689 lBF = `0.0449646` Chr`7` : `102,030,935`	0.010	0.990	0.000
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.010	0.990	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.010	0.990	0.000
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.009	0.991	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.009	0.991	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.009	0.991	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.009	0.991	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.009	0.991	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.008	0.992	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.008	0.992	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.008	0.992	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.007	0.992	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.007	0.993	0.001
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.007	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.006	0.993	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.006	0.994	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.006	0.994	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.006	0.994	0.000
rs10808265 lBF = `-0.106825` Chr`7` : `132,189,689`	0.006	0.994	0.000
rs4730775 lBF = `2.29557` Chr`7` : `116,917,118`	0.000	0.995	0.005
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.005	0.995	0.000
rs38904 lBF = `2.29737` Chr`7` : `116,892,846`	0.004	0.996	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.996	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.004	0.996	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.004	0.996	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.004	0.996	0.000
rs4609139 lBF = `0.993657` Chr`7` : `120,903,815`	0.004	0.996	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.004	0.996	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.004	0.996	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.004	0.996	0.000
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.003	0.996	0.000
rs35305377 lBF = `0.069413` Chr`7` : `99,938,955`	0.004	0.996	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.003	0.997	0.000
rs38911 lBF = `2.34384` Chr`7` : `116,895,163`	0.003	0.997	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.003	0.997	0.000
rs1476679 lBF = `1.97053` Chr`7` : `100,004,446`	0.003	0.997	0.000
rs17712049 lBF = `-0.0156929` Chr`7` : `48,266,195`	0.000	0.997	0.003
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.003	0.997	0.000
rs1496766 lBF = `0.00139512` Chr`7` : `78,331,465`	0.002	0.997	0.000
rs12019358 lBF = `0.088972` Chr`7` : `41,275,504`	0.003	0.997	0.000
rs10237735 lBF = `0.00194299` Chr`7` : `32,376,748`	0.002	0.997	0.000
rs7807274 lBF = `0.00285468` Chr`7` : `131,021,099`	0.002	0.997	0.000
rs1364402 lBF = `-0.0250636` Chr`7` : `136,584,363`	0.002	0.998	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.002	0.998	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.002	0.998	0.000
rs13237474 lBF = `0.0196952` Chr`7` : `135,501,469`	0.002	0.998	0.000
rs10274279 lBF = `-0.0023117` Chr`7` : `157,387,441`	0.002	0.998	0.000
rs10226930 lBF = `0.00081089` Chr`7` : `155,837,295`	0.002	0.998	0.000
rs6464816 lBF = `-0.0926155` Chr`7` : `147,226,891`	0.000	0.998	0.002
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.002	0.998	0.000
rs73276602 lBF = `0.00089094` Chr`7` : `20,681,850`	0.002	0.998	0.000
rs10953934 lBF = `5.13644` Chr`7` : `120,901,695`	0.002	0.998	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.002	0.998	0.000
rs372229746 lBF = `1.25974` Chr`7` : `102,158,815`	0.000	0.998	0.002
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.002	0.998	0.000
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rs6945541 lBF = `-0.0840105` Chr`7` : `68,611,960`	0.000	1.000	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.000	1.000	0.000
rs2888674 lBF = `0.151545` Chr`7` : `150,510,915`	0.000	1.000	0.000
rs4724055 lBF = `0.101011` Chr`7` : `41,622,530`	0.000	1.000	0.000
rs7778619 lBF = `0.0660861` Chr`7` : `10,149,976`	0.000	1.000	0.000
rs1799884 lBF = `-0.0242663` Chr`7` : `44,229,068`	0.000	1.000	0.000
rs6954895 lBF = `-0.0847242` Chr`7` : `35,586,206`	0.000	1.000	0.000
rs6971499 lBF = `0.480774` Chr`7` : `130,680,521`	0.000	1.000	0.000
rs10279833 lBF = `-0.0340081` Chr`7` : `28,901,965`	0.000	1.000	0.000
rs9920 lBF = `-0.0641395` Chr`7` : `116,200,092`	0.000	1.000	0.000
rs7794273 lBF = `-0.0790842` Chr`7` : `18,848,534`	0.000	1.000	0.000
rs211800 lBF = `-0.0907825` Chr`7` : `110,076,140`	0.000	1.000	0.000
rs6461992 lBF = `9.14097` Chr`7` : `27,220,831`	0.000	1.000	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.000	1.000	0.000
rs157935 lBF = `14.4252` Chr`7` : `130,585,553`	0.000	1.000	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.000	1.000	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.000	1.000	0.000
rs2948276 lBF = `0.252798` Chr`7` : `96,457,119`	0.000	1.000	0.000
rs142422697 lBF = `0.119597` Chr`7` : `49,965,291`	0.000	1.000	0.000
rs11761231 lBF = `0.0314226` Chr`7` : `131,370,039`	0.000	1.000	0.000
rs1000597 lBF = `0.00750332` Chr`7` : `30,937,178`	0.000	1.000	0.000
rs117982730 lBF = `-0.0065703` Chr`7` : `125,896,748`	0.000	1.000	0.000
rs7797976 lBF = `-0.0372863` Chr`7` : `120,843,516`	0.000	1.000	0.000
rs10266483 lBF = `-0.0822328` Chr`7` : `63,733,331`	0.000	1.000	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.000	1.000	0.000
rs10232170 lBF = `7.08309` Chr`7` : `34,181,522`	0.000	1.000	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.000	1.000	0.000
rs144872818 lBF = `0.168542` Chr`7` : `49,894,195`	0.000	1.000	0.000
rs10230193 lBF = `0.14682` Chr`7` : `50,364,626`	0.000	1.000	0.000
rs6963495 lBF = `0.041095` Chr`7` : `105,166,853`	0.000	1.000	0.000
rs73712171 lBF = `-0.0254741` Chr`7` : `101,129,765`	0.000	1.000	0.000
rs12702661 lBF = `-0.0320217` Chr`7` : `7,864,751`	0.000	1.000	0.000
rs1195218 lBF = `-0.0423319` Chr`7` : `68,624,342`	0.000	1.000	0.000
rs17736906 lBF = `-0.0461555` Chr`7` : `53,982,626`	0.000	1.000	0.000
rs3735533 lBF = `9.47729` Chr`7` : `27,245,893`	0.000	1.000	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.000	1.000	0.000
rs13245899 lBF = `1.31003` Chr`7` : `100,497,131`	0.000	1.000	0.000
rs7794356 lBF = `0.0289807` Chr`7` : `70,738,729`	0.000	1.000	0.000
rs500454 lBF = `0.00039349` Chr`7` : `80,799,834`	0.000	1.000	0.000
rs192739715 lBF = `-0.00435293` Chr`7` : `52,165,757`	0.000	1.000	0.000
rs4607517 lBF = `-0.0219251` Chr`7` : `44,235,668`	0.000	1.000	0.000
rs6942407 lBF = `-0.0784085` Chr`7` : `86,861,313`	0.000	1.000	0.000
rs1547959 lBF = `14.9559` Chr`7` : `120,945,328`	0.000	1.000	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.000	1.000	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.000	1.000	0.000
rs445 lBF = `0.0752584` Chr`7` : `92,408,370`	0.000	1.000	0.000
rs6464375 lBF = `0.0559403` Chr`7` : `153,625,843`	0.000	1.000	0.000
rs858249 lBF = `0.0396708` Chr`7` : `23,220,639`	0.000	1.000	0.000
rs1045714 lBF = `-0.0437536` Chr`7` : `2,653,582`	0.000	1.000	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.000	1.000	0.000
rs2598104 lBF = `13.7885` Chr`7` : `37,977,249`	0.000	1.000	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.000	1.000	0.000
rs10250997 lBF = `1.92169` Chr`7` : `136,146,536`	0.000	1.000	0.000
rs10275272 lBF = `0.602182` Chr`7` : `19,160,897`	0.000	1.000	0.000
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.000	1.000	0.000
rs10952890 lBF = `0.2076` Chr`7` : `86,355,215`	0.000	1.000	0.000
rs262147 lBF = `0.0594047` Chr`7` : `158,745,142`	0.000	1.000	0.000
rs702485 lBF = `0.039707` Chr`7` : `6,449,272`	0.000	1.000	0.000
rs116932763 lBF = `0.00888646` Chr`7` : `149,549,009`	0.000	1.000	0.000
rs975369 lBF = `0.00264626` Chr`7` : `25,612,661`	0.000	1.000	0.000
rs17137412 lBF = `-0.0369901` Chr`7` : `7,800,687`	0.000	1.000	0.000
rs1668357 lBF = `-0.0371005` Chr`7` : `38,004,406`	0.000	1.000	0.000
rs6583437 lBF = `-0.0504736` Chr`7` : `50,350,267`	0.000	1.000	0.000
rs10273639 lBF = `-0.0754004` Chr`7` : `142,456,928`	0.000	1.000	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.000	1.000	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.000	1.000	0.000
rs7776701 lBF = `0.310001` Chr`7` : `47,442,633`	0.000	1.000	0.000
rs4272 lBF = `0.131269` Chr`7` : `92,236,829`	0.000	1.000	0.000
rs10487245 lBF = `0.0502743` Chr`7` : `93,713,521`	0.000	1.000	0.000
rs73077895 lBF = `0.0333869` Chr`7` : `28,819,842`	0.000	1.000	0.000
rs10953454 lBF = `0.0295221` Chr`7` : `104,503,813`	0.000	1.000	0.000
rs10487524 lBF = `0.00610497` Chr`7` : `144,841,531`	0.000	1.000	0.000
rs11525841 lBF = `0.00232679` Chr`7` : `85,183,168`	0.000	1.000	0.000
rs964714 lBF = `-0.00515014` Chr`7` : `82,382,624`	0.000	1.000	0.000
rs181525252 lBF = `-0.00991422` Chr`7` : `137,803,648`	0.000	1.000	0.000
rs186314186 lBF = `-0.0129726` Chr`7` : `107,855,563`	0.000	1.000	0.000
rs17143586 lBF = `-0.0202163` Chr`7` : `8,177,397`	0.000	1.000	0.000
rs2068399 lBF = `-0.0561701` Chr`7` : `14,228,703`	0.000	1.000	0.000
rs1299548 lBF = `-0.0716168` Chr`7` : `7,302,293`	0.000	1.000	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.000	1.000	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.000	1.000	0.000
rs3750082 lBF = `3.32379` Chr`7` : `32,919,927`	0.000	1.000	0.000
rs12666989 lBF = `1.62541` Chr`7` : `100,486,754`	0.000	1.000	0.000
rs57375391 lBF = `0.0830581` Chr`7` : `22,704,626`	0.000	1.000	0.000
rs116884796 lBF = `0.0552319` Chr`7` : `13,054,194`	0.000	1.000	0.000
rs11975386 lBF = `0.03953` Chr`7` : `93,705,033`	0.000	1.000	0.000
rs10226308 lBF = `0.026681` Chr`7` : `37,938,422`	0.000	1.000	0.000
rs813379 lBF = `0.0209609` Chr`7` : `90,781,987`	0.000	1.000	0.000
rs79698955 lBF = `0.0191953` Chr`7` : `105,272,676`	0.000	1.000	0.000
rs73135369 lBF = `-0.00079609` Chr`7` : `73,940,978`	0.000	1.000	0.000
rs6977820 lBF = `-0.0459922` Chr`7` : `154,072,020`	0.000	1.000	0.000
rs10229583 lBF = `-0.11658` Chr`7` : `127,246,903`	0.000	1.000	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.000	1.000	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	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

0.7371

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1179

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1167

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9996

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9980

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9971

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9952

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9925

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9898

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9850

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9841

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9815

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9793

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9745

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9745

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9729

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9626

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9605

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9592

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9559

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9556

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9552

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9525

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9511

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9498

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9483

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9475

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9363

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9302

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9263

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9235

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9218

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9152

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9124

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9114

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9030

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8990

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8927

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8842

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8792

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8662

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8628

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8446

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8343

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8318

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8168

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8139

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7961

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7947

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7828

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7745

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7584

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7257

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6984

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6641

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6438

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6153

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5715

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5699

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5539

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5524

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5354

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5201

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5152

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4913

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4790

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4685

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4367

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4352

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4320

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4217

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4183

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3901

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3794

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3298

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3099

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2977

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2426

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2352

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2079

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2076

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2002

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1910

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1881

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1649

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1461

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1455

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1353

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1327

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1321

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1312

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1254

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1250

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1154

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1082

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0995

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0849

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0781

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0673

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0645

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0534

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`)