TreeWAS – [Z37.9] Outcome of delivery unspecified

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
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.715	0.284	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.618	0.382	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.596	0.404	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.564	0.436	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.488	0.512	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.470	0.529	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.453	0.547	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.447	0.553	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.415	0.585	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.396	0.604	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.363	0.637	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.341	0.659	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.340	0.660	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.339	0.661	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.337	0.663	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.336	0.663	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.332	0.667	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.323	0.677	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.301	0.699	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.291	0.708	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	0.712	0.288
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.284	0.716	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.268	0.732	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.266	0.734	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.260	0.740	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.259	0.741	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.257	0.743	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.256	0.743	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.253	0.747	0.001
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.248	0.752	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.245	0.755	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.233	0.767	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.227	0.773	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.226	0.774	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.214	0.786	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.212	0.787	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.202	0.798	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.201	0.799	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.196	0.804	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.195	0.805	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.193	0.806	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.193	0.806	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.193	0.807	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.188	0.812	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.178	0.822	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.173	0.826	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.171	0.826	0.002
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.168	0.832	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.167	0.833	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.162	0.838	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.162	0.838	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.159	0.841	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.153	0.847	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.153	0.847	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.150	0.850	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.148	0.851	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.146	0.854	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.138	0.862	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.133	0.867	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.124	0.876	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.112	0.888	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.109	0.891	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.104	0.895	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.084	0.915	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.084	0.916	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.079	0.920	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.078	0.922	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.077	0.923	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.072	0.927	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.063	0.937	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.057	0.943	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.053	0.946	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.047	0.953	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.046	0.953	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.046	0.954	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.045	0.955	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.045	0.955	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.044	0.956	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.042	0.958	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.042	0.958	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.038	0.962	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.038	0.962	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.036	0.963	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.036	0.964	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.033	0.966	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	0.969	0.031
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.030	0.970	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.030	0.970	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.028	0.972	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.025	0.974	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.024	0.976	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.023	0.977	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.023	0.977	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.977	0.023
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.022	0.977	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.022	0.978	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.022	0.978	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.021	0.978	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.021	0.978	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.020	0.979	0.001
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.020	0.980	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.018	0.981	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.019	0.981	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.017	0.983	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.016	0.984	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.016	0.984	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.016	0.984	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.015	0.985	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.014	0.986	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.013	0.987	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.011	0.988	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.011	0.989	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.011	0.989	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.011	0.989	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.010	0.990	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.009	0.990	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.009	0.991	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.008	0.991	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.008	0.992	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.008	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.992	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.008	0.992	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.008	0.992	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.008	0.992	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.006	0.994	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.005	0.995	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.005	0.995	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.005	0.995	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	0.995	0.005
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.003	0.996	0.001
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.004	0.996	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.003	0.996	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.003	0.997	0.000
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.003	0.997	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.003	0.997	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.003	0.997	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.997	0.003
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.003	0.997	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.003	0.997	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.003	0.997	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.003	0.997	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.002	0.997	0.000
rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.002	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.002	0.997	0.001
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.002	0.998	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.002	0.998	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.002	0.998	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	0.998	0.002
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.002	0.998	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.002	0.998	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.002	0.998	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	0.998	0.002
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.002	0.998	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.998	0.002
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.002	0.998	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.002	0.998	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.002	0.998	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.002	0.998	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.002	0.998	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.001	0.998	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.001	0.998	0.000
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.001	0.998	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.001	0.998	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.001	0.998	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.001
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.001
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.001	0.998	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.001	0.999	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.001	0.999	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.001	0.999	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.001	0.999	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.001	0.999	0.000
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.001	0.999	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.001	0.999	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.001	0.999	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.001	0.999	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.001	0.999	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.001	0.999	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.001	0.999	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.001	0.999	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.001	0.999	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.001	0.999	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.001	0.999	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.001	0.999	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.001	0.999	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.001	0.999	0.000
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rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.000	1.000	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs12324805 lBF = `-0.0374731` Chr`15` : `82,352,200`	0.000	1.000	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs1455782 lBF = `-0.104629` Chr`15` : `93,050,966`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs8043440 lBF = `0.0114729` Chr`15` : `26,973,086`	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
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs1898111 lBF = `-0.015389` Chr`15` : `47,892,298`	0.000	1.000	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	1.000	0.000
rs2414098 lBF = `-0.0356877` Chr`15` : `51,537,806`	0.000	1.000	0.000
rs4777989 lBF = `-0.0527191` Chr`15` : `93,006,740`	0.000	1.000	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	1.000	0.000
rs1442779 lBF = `-0.0836916` Chr`15` : `71,576,755`	0.000	1.000	0.000
rs2018860 lBF = `-0.105359` Chr`15` : `99,258,710`	0.000	1.000	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	1.000	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.000	1.000	0.000
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.000	1.000	0.000
rs10163145 lBF = `3.15837` Chr`15` : `79,075,335`	0.000	1.000	0.000
rs10519005 lBF = `0.0808155` Chr`15` : `59,711,691`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs2444043 lBF = `0.0165355` Chr`15` : `55,534,342`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	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
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
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	1.000	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.000	1.000	0.000
rs7163013 lBF = `-0.0307682` Chr`15` : `78,698,759`	0.000	1.000	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	1.000	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	1.000	0.000
rs12913259 lBF = `-0.0449469` Chr`15` : `51,014,716`	0.000	1.000	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	1.000	0.000
rs9806183 lBF = `-0.070436` Chr`15` : `71,574,799`	0.000	1.000	0.000
rs1436955 lBF = `-0.0710419` Chr`15` : `62,404,382`	0.000	1.000	0.000
rs4778720 lBF = `-0.0829449` Chr`15` : `79,975,647`	0.000	1.000	0.000
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.000	1.000	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.000	1.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.000	1.000	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.000	1.000	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.000	1.000	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.000	1.000	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.000	1.000	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	1.000	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	1.000	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	1.000	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.000	1.000	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	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
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	1.000	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.000	1.000	0.000
rs4886591 lBF = `13.1684` Chr`15` : `79,074,518`	0.000	1.000	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.000	1.000	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	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 X0012

log Bayes Factor = 112.432

contains 5 variants

0.2196

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1819

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.1529

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0796

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0509

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0504

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7169

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7169

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7169

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7169

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7165

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7135

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7106

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7038

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6980

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6952

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6764

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6503

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6476

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6283

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6266

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6055

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5964

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5962

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5880

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5863

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5863

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5695

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5580

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5517

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5318

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5292

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5128

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5052

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5032

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4993

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4979

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4852

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4852

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4827

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4796

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4522

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4514

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4482

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4481

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4454

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4452

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4414

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4340

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4319

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4253

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4250

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4199

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4166

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4113

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3900

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3835

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3799

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3742

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3674

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3607

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3544

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3465

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3415

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3389

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3351

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3342

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3325

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3306

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3290

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3185

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3168

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3123

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3082

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3061

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2982

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2961

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2948

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2929

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2889

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2835

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2704

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2681

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2621

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2618

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2509

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2499

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2466

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2433

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2283

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2256

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2252

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2233

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2212

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2192

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2179

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2147

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2113

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2082

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2065

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2057

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1933

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1800

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1731

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1712

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1698

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1668

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1667

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1660

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1649

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1628

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1581

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1573

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1568

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1563

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1527

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1526

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1525

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1523

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1515

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1472

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1450

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1439

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1399

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1398

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1337

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1328

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1279

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1248

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1236

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1148

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1126

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1056

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1055

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1043

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1035

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1022

Cluster X0202

log Bayes Factor = 106.378

contains 5 variants

0.1001

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0987

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0977

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0968

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0879

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0855

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0846

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0803

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0783

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0734

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0720

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0706

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0611

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0590

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0545

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`)