TreeWAS – [Z00.2] Examination for period of rapid growth in childhood

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
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.648	0.352	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.638	0.362	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.620	0.380	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.615	0.385	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.587	0.413	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.562	0.437	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.541	0.459	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.539	0.461	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.532	0.467	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.510	0.490	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.499	0.500	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.497	0.502	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.493	0.507	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.490	0.510	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.480	0.519	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.476	0.524	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.467	0.533	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.463	0.537	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.456	0.544	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.450	0.550	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.448	0.551	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.427	0.573	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.427	0.573	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.423	0.576	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.400	0.600	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.393	0.607	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.393	0.607	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.367	0.633	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.366	0.634	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.363	0.637	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.361	0.638	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.359	0.641	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.358	0.642	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.357	0.643	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.352	0.647	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.345	0.655	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.327	0.673	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.311	0.689	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.293	0.707	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.270	0.730	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.268	0.731	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.258	0.741	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.256	0.744	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.236	0.764	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.227	0.773	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.221	0.779	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.220	0.780	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.208	0.792	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.202	0.798	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.181	0.819	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.164	0.835	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.161	0.839	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.154	0.846	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.152	0.848	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.147	0.853	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.146	0.854	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.143	0.856	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.142	0.858	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.141	0.859	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.140	0.859	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.135	0.865	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.119	0.881	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.115	0.885	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.114	0.886	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.112	0.887	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.107	0.893	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.103	0.897	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.103	0.897	0.001
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.101	0.898	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.093	0.907	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.088	0.912	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.084	0.916	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.081	0.918	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.078	0.922	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.077	0.922	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.075	0.925	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.070	0.930	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.067	0.932	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.059	0.941	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.056	0.943	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.056	0.944	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.048	0.952	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.043	0.956	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.042	0.958	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.039	0.961	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.038	0.962	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.034	0.966	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.032	0.968	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.022	0.977	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.021	0.979	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.021	0.979	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.020	0.980	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.020	0.980	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.018	0.981	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.018	0.982	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.018	0.982	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.017	0.982	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.016	0.984	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.016	0.984	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.015	0.984	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.000	0.985	0.015
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.014	0.986	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.014	0.986	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.012	0.987	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.012	0.988	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.011	0.988	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.011	0.989	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.010	0.990	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.010	0.990	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.010	0.990	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.991	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.008	0.992	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.008	0.992	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.008	0.992	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.008	0.992	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.008	0.992	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.007	0.993	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.007	0.993	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.007	0.993	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.006	0.993	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.005
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.000	0.995	0.005
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.005	0.995	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.004	0.995	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.004	0.996	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.004	0.996	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.004	0.996	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	0.996	0.004
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.002	0.997	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.002	0.998	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.002	0.998	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.002	0.998	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.002	0.998	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.002	0.998	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.002	0.998	0.000
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.002	0.998	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.001	0.998	0.001
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.002	0.998	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.002	0.998	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.998	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.001	0.998	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.001	0.998	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.001	0.998	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.001	0.998	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.001	0.998	0.000
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.001	0.999	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.001	0.999	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.001	0.999	0.000
rs2018860 lBF = `-0.105359` Chr`15` : `99,258,710`	0.001	0.999	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.001	0.999	0.000
rs2238355 lBF = `-0.0888031` Chr`15` : `92,685,778`	0.000	0.999	0.001
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.001	0.999	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.000	0.999	0.001
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.001	0.999	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.001	0.999	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.001	0.999	0.000
rs28420834 lBF = `-0.0406623` Chr`15` : `82,513,121`	0.000	0.999	0.001
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.001	0.999	0.000
rs12148337 lBF = `0.0123087` Chr`15` : `70,589,272`	0.000	0.999	0.001
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.001	0.999	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.001	0.999	0.000
rs17536527 lBF = `0.0983696` Chr`15` : `45,719,187`	0.000	0.999	0.001
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.001	0.999	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.001	0.999	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.001	0.999	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs7174156 lBF = `-0.0322566` Chr`15` : `96,959,855`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.001	0.999	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.001	0.999	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.001	0.999	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.000	0.999	0.001
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
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rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	0.999	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	0.999	0.000
rs11857176 lBF = `0.705823` Chr`15` : `78,164,706`	0.000	0.999	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.999	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	0.999	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	0.999	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	0.999	0.000
rs920915 lBF = `-0.0906984` Chr`15` : `58,688,467`	0.000	0.999	0.000
rs17293632 lBF = `21.6143` Chr`15` : `67,442,596`	0.000	0.999	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	0.999	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	0.999	0.000
rs2568485 lBF = `11.2894` Chr`15` : `78,752,114`	0.000	0.999	0.000
rs2938671 lBF = `11.1176` Chr`15` : `78,732,754`	0.000	0.999	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	0.999	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	0.999	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	0.999	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs61524473 lBF = `-0.0299072` Chr`15` : `45,646,283`	0.000	0.999	0.000
rs2123926 lBF = `-0.0542601` Chr`15` : `100,264,518`	0.000	0.999	0.000
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.000	0.999	0.000
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	0.999	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.000	0.999	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	0.999	0.000
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.000	0.999	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	0.999	0.000
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	0.999	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	0.999	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	0.999	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.000	0.999	0.000
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.000	0.999	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	0.999	0.000
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	0.999	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	0.999	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	0.999	0.000
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.000	0.999	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	0.999	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	0.999	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.000	0.999	0.000
rs1601935 lBF = `0.0461629` Chr`15` : `58,671,765`	0.000	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	0.999	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	0.999	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	0.999	0.000
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.000	0.999	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	0.999	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.000	0.999	0.000
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	0.999	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.000	0.999	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.000	0.999	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.000	0.999	0.000
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	0.999	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.000	0.999	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.000	0.999	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	0.999	0.000
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	0.999	0.000
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	0.999	0.000
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	0.999	0.000
rs4886587 lBF = `12.9685` Chr`15` : `79,026,822`	0.000	0.999	0.000
rs4886586 lBF = `12.8964` Chr`15` : `79,026,674`	0.000	0.999	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.999	0.000
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.000	0.999	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.000	0.999	0.000
rs8023822 lBF = `7.96514` Chr`15` : `78,945,040`	0.000	0.999	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.000	0.999	0.000
rs2567426 lBF = `0.13365` Chr`15` : `96,332,861`	0.000	0.999	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	0.999	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	0.999	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	0.999	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	0.999	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	0.999	0.000
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	0.999	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	0.999	0.000
rs12899811 lBF = `-0.0963806` Chr`15` : `91,544,076`	0.000	0.999	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	1.000	0.000
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.000	1.000	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	1.000	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	1.000	0.000
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	1.000	0.000
rs11072791 lBF = `13.9577` Chr`15` : `78,997,076`	0.000	1.000	0.000
rs11634543 lBF = `13.7153` Chr`15` : `79,005,504`	0.000	1.000	0.000
rs4887087 lBF = `13.2234` Chr`15` : `79,026,541`	0.000	1.000	0.000
rs4887086 lBF = `12.9948` Chr`15` : `79,026,529`	0.000	1.000	0.000
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.000	1.000	0.000
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.000	1.000	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.000	1.000	0.000
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.000	1.000	0.000
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	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

0.1824

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0595

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7168

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7162

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7160

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7155

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7152

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7138

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7129

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7123

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7119

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7118

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7115

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7089

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7072

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7042

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7029

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7029

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6977

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6968

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6940

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6927

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6810

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6763

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6746

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6734

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6734

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6703

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6631

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6568

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6531

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6519

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6517

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6479

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6471

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6434

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6388

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6384

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6367

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6252

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6242

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6240

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6134

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6101

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6091

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6089

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6065

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6033

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5984

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5974

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5963

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5944

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5905

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5879

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5877

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5877

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5852

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5837

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5715

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5690

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5649

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5645

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5630

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5611

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5591

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5584

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5548

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5545

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5539

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5497

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5442

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5363

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5320

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5299

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5127

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5065

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4918

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4847

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4828

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4664

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4628

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4567

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4521

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4462

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4379

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4314

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4310

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4300

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4124

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4104

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4058

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3976

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3976

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3971

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3892

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3831

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3661

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3598

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3492

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3409

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3368

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3365

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3284

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3193

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3153

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3071

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3038

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2979

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2936

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2737

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2698

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2591

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2567

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2533

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2494

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2083

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2006

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1902

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1800

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1792

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1734

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1672

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1601

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1585

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1258

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1097

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1076

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0962

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0932

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0795

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0792

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0690

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0682

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0648

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`)