TreeWAS – [D16] Benign neoplasm of bone and articular cartilage

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
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.787	0.213	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.768	0.232	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.768	0.232	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.738	0.262	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.714	0.286	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.714	0.286	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.714	0.286	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.711	0.289	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.710	0.290	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.709	0.291	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.705	0.295	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.703	0.297	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.692	0.308	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.683	0.316	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.669	0.330	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.641	0.359	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.641	0.359	0.000
rs117717824 lBF = `1.36934` Chr`7` : `113,989,202`	0.622	0.378	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.621	0.379	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.620	0.380	0.000
rs236670 lBF = `2.17228` Chr`7` : `75,059,331`	0.618	0.382	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.617	0.383	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.600	0.400	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.586	0.414	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.561	0.439	0.000
rs116910478 lBF = `15.3435` Chr`7` : `89,932,032`	0.555	0.445	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.530	0.470	0.000
rs28523990 lBF = `1.09231` Chr`7` : `124,436,139`	0.000	0.481	0.519
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.512	0.488	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.499	0.501	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.492	0.508	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.490	0.510	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.484	0.516	0.000
rs727505 lBF = `1.29474` Chr`7` : `124,462,081`	0.000	0.521	0.479
rs11974528 lBF = `0.645825` Chr`7` : `107,832,411`	0.478	0.522	0.000
rs17246404 lBF = `1.39279` Chr`7` : `124,462,661`	0.000	0.523	0.477
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.475	0.524	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.448	0.552	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.444	0.555	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.433	0.567	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.406	0.594	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.403	0.597	0.000
rs10248351 lBF = `0.372047` Chr`7` : `88,481,442`	0.398	0.602	0.000
rs6976769 lBF = `3.00178` Chr`7` : `83,297,262`	0.395	0.605	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.391	0.609	0.000
rs4149458 lBF = `0.348419` Chr`7` : `65,709,777`	0.383	0.617	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.383	0.617	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.372	0.628	0.000
rs17837497 lBF = `0.843785` Chr`7` : `139,702,593`	0.371	0.629	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.355	0.645	0.000
rs75015237 lBF = `14.8383` Chr`7` : `133,648,442`	0.354	0.646	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.340	0.660	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.335	0.665	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.332	0.668	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.326	0.674	0.000
rs142075585 lBF = `2.49144` Chr`7` : `48,895,260`	0.322	0.678	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.302	0.698	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.299	0.701	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.291	0.709	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.278	0.722	0.000
rs10270308 lBF = `0.42551` Chr`7` : `105,671,267`	0.246	0.754	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.245	0.755	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.235	0.764	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.228	0.772	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.220	0.780	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.217	0.783	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.213	0.786	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.213	0.787	0.000
rs141480664 lBF = `1.7952` Chr`7` : `4,509,589`	0.204	0.796	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.202	0.798	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.195	0.804	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.181	0.819	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.162	0.838	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.153	0.847	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.149	0.850	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.142	0.858	0.000
rs189806577 lBF = `0.168175` Chr`7` : `34,977,270`	0.135	0.865	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.134	0.866	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.134	0.866	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.132	0.867	0.000
rs3736638 lBF = `0.207425` Chr`7` : `94,047,266`	0.128	0.872	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.127	0.873	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.119	0.881	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.103	0.897	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.102	0.898	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.099	0.900	0.000
rs183820509 lBF = `0.513689` Chr`7` : `12,180,821`	0.094	0.906	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.093	0.906	0.001
rs141958207 lBF = `0.515485` Chr`7` : `12,181,500`	0.092	0.908	0.000
rs117814736 lBF = `0.515485` Chr`7` : `12,180,757`	0.092	0.908	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.087	0.913	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.087	0.913	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.083	0.916	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.078	0.922	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.076	0.924	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.075	0.925	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.074	0.925	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.069	0.931	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.066	0.934	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.064	0.936	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.062	0.938	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.059	0.941	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.057	0.943	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.055	0.945	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.055	0.945	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.051	0.949	0.000
rs2533291 lBF = `0.0282098` Chr`7` : `157,505,654`	0.048	0.952	0.000
rs191603973 lBF = `0.0394972` Chr`7` : `155,101,686`	0.048	0.952	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.048	0.952	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.044	0.952	0.003
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.045	0.955	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.045	0.955	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.044	0.956	0.000
rs80261602 lBF = `3.9422` Chr`7` : `122,271,315`	0.042	0.957	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.042	0.958	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.041	0.959	0.000
rs73302615 lBF = `0.138596` Chr`7` : `28,271,690`	0.041	0.959	0.000
rs6949211 lBF = `15.3048` Chr`7` : `11,231,071`	0.041	0.959	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.039	0.961	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.039	0.961	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.029	0.963	0.008
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.035	0.965	0.000
rs188845491 lBF = `0.0404442` Chr`7` : `99,286,639`	0.033	0.967	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.032	0.967	0.000
rs148490894 lBF = `0.101087` Chr`7` : `99,531,755`	0.031	0.969	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.031	0.969	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.030	0.970	0.000
rs11981919 lBF = `0.0370324` Chr`7` : `152,669,840`	0.030	0.970	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.029	0.971	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.029	0.971	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.028	0.972	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.028	0.972	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.028	0.972	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.027	0.973	0.000
rs150347869 lBF = `0.0262056` Chr`7` : `46,897,555`	0.027	0.973	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.026	0.973	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.025	0.975	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.024	0.975	0.002
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.024	0.976	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.023	0.977	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.023	0.977	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.023	0.977	0.000
rs118071777 lBF = `0.0165334` Chr`7` : `88,244,249`	0.021	0.978	0.000
rs10255329 lBF = `0.0269096` Chr`7` : `13,440,222`	0.021	0.979	0.000
rs183498415 lBF = `0.0234329` Chr`7` : `35,153,401`	0.021	0.979	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.020	0.980	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.019	0.980	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.019	0.981	0.000
rs528161076 lBF = `0.020658` Chr`7` : `4,827,514`	0.018	0.982	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.017	0.983	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.016	0.984	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.016	0.984	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.016	0.984	0.000
rs117026326 lBF = `0.691935` Chr`7` : `74,126,034`	0.011	0.984	0.005
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.016	0.984	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.015	0.985	0.000
rs55704525 lBF = `0.0217842` Chr`7` : `43,568,566`	0.015	0.985	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.014	0.986	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.013	0.987	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.013	0.987	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.012	0.987	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.004	0.988	0.008
rs2366858 lBF = `0.0103449` Chr`7` : `80,340,622`	0.012	0.988	0.000
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.000	0.988	0.012
rs2525776 lBF = `0.697836` Chr`7` : `80,901,619`	0.000	0.989	0.011
rs13233490 lBF = `-0.00601511` Chr`7` : `9,070,269`	0.011	0.989	0.000
rs116864947 lBF = `0.580102` Chr`7` : `11,705,786`	0.011	0.989	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.009	0.989	0.002
rs56868568 lBF = `0.00984974` Chr`7` : `19,164,880`	0.011	0.989	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.011	0.989	0.000
rs2280655 lBF = `1.74301` Chr`7` : `16,837,454`	0.010	0.990	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.010	0.990	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.010	0.990	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.010	0.990	0.000
rs17170316 lBF = `0.267614` Chr`7` : `33,673,265`	0.010	0.990	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.009	0.990	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.003	0.991	0.006
rs113118439 lBF = `21.6211` Chr`7` : `5,487,229`	0.009	0.991	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.008	0.991	0.001
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.008	0.992	0.000
rs117420777 lBF = `14.9476` Chr`7` : `63,529,988`	0.008	0.992	0.000
rs73692310 lBF = `0.0082489` Chr`7` : `46,006,655`	0.007	0.993	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.007	0.993	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.007	0.993	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.006	0.993	0.000
rs6943090 lBF = `0.00551539` Chr`7` : `72,746,648`	0.006	0.994	0.000
rs10242311 lBF = `0.612817` Chr`7` : `105,273,720`	0.006	0.994	0.000
rs73737676 lBF = `0.00537855` Chr`7` : `155,810,501`	0.006	0.994	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.006	0.994	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.005	0.995	0.000
rs117898805 lBF = `-0.00112999` Chr`7` : `54,516,128`	0.005	0.995	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.005	0.995	0.000
rs140104968 lBF = `0.178321` Chr`7` : `99,543,627`	0.005	0.995	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.005	0.995	0.000
rs75290158 lBF = `0.0002205` Chr`7` : `96,652,459`	0.004	0.996	0.000
rs117375698 lBF = `0.004359` Chr`7` : `67,715,708`	0.004	0.996	0.000
rs10237103 lBF = `0.00559492` Chr`7` : `79,662,227`	0.004	0.996	0.000
rs140607780 lBF = `0.0596114` Chr`7` : `100,103,523`	0.004	0.996	0.000
rs79209880 lBF = `0.0910906` Chr`7` : `45,710,099`	0.004	0.996	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.004	0.996	0.000
rs17168526 lBF = `0.00410054` Chr`7` : `7,571,420`	0.004	0.996	0.000
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rs4722551 lBF = `0.932355` Chr`7` : `25,991,826`	0.001	0.999	0.000
rs186166891 lBF = `0.0515767` Chr`7` : `40,406,876`	0.001	0.999	0.000
rs2465065 lBF = `-0.0134401` Chr`7` : `104,461,487`	0.000	0.999	0.000
rs11185602 lBF = `-0.0483176` Chr`7` : `50,299,077`	0.001	0.999	0.000
rs2023938 lBF = `9.96245` Chr`7` : `19,036,775`	0.001	0.999	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.000	0.999	0.000
rs185203327 lBF = `0.0670427` Chr`7` : `44,849,435`	0.000	0.999	0.000
rs2350782 lBF = `0.00738277` Chr`7` : `136,642,634`	0.001	0.999	0.000
rs17170356 lBF = `-0.00818293` Chr`7` : `146,887,868`	0.001	0.999	0.000
rs11763147 lBF = `-0.0235679` Chr`7` : `65,326,821`	0.000	0.999	0.001
rs11185603 lBF = `-0.0567723` Chr`7` : `50,306,810`	0.001	0.999	0.000
rs4917014 lBF = `-0.0588672` Chr`7` : `50,305,863`	0.001	0.999	0.000
rs4731889 lBF = `-0.0809112` Chr`7` : `132,325,309`	0.001	0.999	0.000
rs1008126 lBF = `-0.094235` Chr`7` : `103,175,444`	0.000	0.999	0.001
rs12534830 lBF = `-0.100697` Chr`7` : `84,952,631`	0.000	0.999	0.001
rs10251504 lBF = `4.19265` Chr`7` : `77,689,888`	0.001	0.999	0.000
rs4148689 lBF = `-0.0473211` Chr`7` : `117,143,602`	0.001	0.999	0.000
rs7801303 lBF = `-0.0937074` Chr`7` : `40,918,070`	0.001	0.999	0.000
rs13236243 lBF = `0.450345` Chr`7` : `17,318,312`	0.000	0.999	0.001
rs76917448 lBF = `-0.0165131` Chr`7` : `34,114,712`	0.000	0.999	0.000
rs4073894 lBF = `3.46096` Chr`7` : `104,466,964`	0.000	0.999	0.000
rs336284 lBF = `0.708232` Chr`7` : `35,293,972`	0.000	0.999	0.001
rs211800 lBF = `-0.0907825` Chr`7` : `110,076,140`	0.001	0.999	0.000
rs12671878 lBF = `-0.096223` Chr`7` : `153,558,949`	0.001	0.999	0.000
rs2107595 lBF = `32.9202` Chr`7` : `19,049,388`	0.001	0.999	0.000
rs2707466 lBF = `6.3523` Chr`7` : `120,979,089`	0.001	0.999	0.000
rs7779057 lBF = `0.0998735` Chr`7` : `106,594,885`	0.001	0.999	0.000
rs6943029 lBF = `-0.0340311` Chr`7` : `155,762,157`	0.000	0.999	0.000
rs10238623 lBF = `-0.0599761` Chr`7` : `28,812,493`	0.001	0.999	0.000
rs10216189 lBF = `-0.102625` Chr`7` : `5,524,805`	0.001	0.999	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.000	0.999	0.000
rs38904 lBF = `2.29737` Chr`7` : `116,892,846`	0.001	0.999	0.000
rs17173637 lBF = `0.174727` Chr`7` : `150,529,449`	0.000	0.999	0.000
rs144872818 lBF = `0.168542` Chr`7` : `49,894,195`	0.000	0.999	0.000
rs144759648 lBF = `-0.0072668` Chr`7` : `156,736,023`	0.000	0.999	0.000
rs17143586 lBF = `-0.0202163` Chr`7` : `8,177,397`	0.000	0.999	0.000
rs7808424 lBF = `-0.0323238` Chr`7` : `117,067,822`	0.000	0.999	0.000
rs6583437 lBF = `-0.0504736` Chr`7` : `50,350,267`	0.001	0.999	0.000
rs6947495 lBF = `-0.094916` Chr`7` : `153,553,064`	0.001	0.999	0.000
rs62481355 lBF = `-0.101594` Chr`7` : `127,201,664`	0.001	0.999	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.000	0.999	0.000
rs2035647 lBF = `-0.0687997` Chr`7` : `137,799,569`	0.000	0.999	0.000
rs6463094 lBF = `-0.0736219` Chr`7` : `42,281,481`	0.000	0.999	0.000
rs180242 lBF = `-0.111675` Chr`7` : `93,549,596`	0.000	0.999	0.000
rs57301765 lBF = `28.5048` Chr`7` : `19,052,733`	0.000	1.000	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.000	1.000	0.000
rs38911 lBF = `2.34384` Chr`7` : `116,895,163`	0.000	1.000	0.000
rs60580184 lBF = `0.912577` Chr`7` : `138,850,967`	0.000	1.000	0.000
rs13222543 lBF = `0.421206` Chr`7` : `100,015,457`	0.000	1.000	0.000
rs12699131 lBF = `0.104629` Chr`7` : `71,751,316`	0.000	1.000	0.000
rs1499614 lBF = `0.0885592` Chr`7` : `65,730,798`	0.000	1.000	0.000
rs10234581 lBF = `-0.0556336` Chr`7` : `137,404,781`	0.000	1.000	0.000
rs11764116 lBF = `-0.0739883` Chr`7` : `18,800,413`	0.000	1.000	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.000	1.000	0.000
rs3757584 lBF = `10.0592` Chr`7` : `73,440,695`	0.000	1.000	0.000
rs10486715 lBF = `0.636577` Chr`7` : `41,478,608`	0.000	1.000	0.000
rs7795096 lBF = `0.308061` Chr`7` : `151,546,589`	0.000	1.000	0.000
rs756912 lBF = `0.0954993` Chr`7` : `71,741,797`	0.000	1.000	0.000
rs406001 lBF = `0.0124909` Chr`7` : `52,006,415`	0.000	1.000	0.000
rs2392510 lBF = `-0.078476` Chr`7` : `37,746,569`	0.000	1.000	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.000	1.000	0.000
rs7493 lBF = `0.533844` Chr`7` : `95,034,775`	0.000	1.000	0.000
rs7793359 lBF = `-0.0431785` Chr`7` : `73,964,235`	0.000	1.000	0.000
rs2167364 lBF = `-0.0728901` Chr`7` : `50,565,827`	0.000	1.000	0.000
rs7794273 lBF = `-0.0790842` Chr`7` : `18,848,534`	0.000	1.000	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.000	1.000	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.000	1.000	0.000
rs4460308 lBF = `0.00053116` Chr`7` : `104,420,060`	0.000	1.000	0.000
rs7780883 lBF = `-0.040711` Chr`7` : `77,062,712`	0.000	1.000	0.000
rs12538804 lBF = `-0.0842521` Chr`7` : `7,693,919`	0.000	1.000	0.000
rs3735533 lBF = `9.47729` Chr`7` : `27,245,893`	0.000	1.000	0.000
rs4722675 lBF = `8.94587` Chr`7` : `27,243,962`	0.000	1.000	0.000
rs1362212 lBF = `2.46483` Chr`7` : `35,305,306`	0.000	1.000	0.000
rs3800993 lBF = `0.547779` Chr`7` : `141,801,007`	0.000	1.000	0.000
rs13245023 lBF = `0.0549758` Chr`7` : `20,885,095`	0.000	1.000	0.000
rs4379368 lBF = `0.0287007` Chr`7` : `40,466,200`	0.000	1.000	0.000
rs74757156 lBF = `0.00664412` Chr`7` : `136,238,782`	0.000	1.000	0.000
rs10275045 lBF = `-0.0107246` Chr`7` : `1,920,826`	0.000	1.000	0.000
rs10267836 lBF = `-0.0311123` Chr`7` : `30,755,583`	0.000	1.000	0.000
rs2316527 lBF = `-0.0352809` Chr`7` : `154,622,457`	0.000	1.000	0.000
rs6975557 lBF = `-0.049338` Chr`7` : `107,973,297`	0.000	1.000	0.000
rs7777754 lBF = `-0.0714077` Chr`7` : `50,666,033`	0.000	1.000	0.000
rs11760485 lBF = `-0.0955638` Chr`7` : `4,401,550`	0.000	1.000	0.000
rs4320486 lBF = `-0.0960549` Chr`7` : `107,643,977`	0.000	1.000	0.000
rs4236274 lBF = `-0.0961941` Chr`7` : `1,896,413`	0.000	1.000	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.000	1.000	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.000	1.000	0.000
rs7789850 lBF = `0.0146769` Chr`7` : `141,300,611`	0.000	1.000	0.000
rs9986765 lBF = `0.00046339` Chr`7` : `142,835,239`	0.000	1.000	0.000
rs798336 lBF = `-0.0612284` Chr`7` : `77,914,343`	0.000	1.000	0.000
rs2192271 lBF = `-0.0903619` Chr`7` : `153,549,296`	0.000	1.000	0.000
rs2237457 lBF = `-0.108794` Chr`7` : `50,726,144`	0.000	1.000	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.000	1.000	0.000
rs10232170 lBF = `7.08309` Chr`7` : `34,181,522`	0.000	1.000	0.000
rs17684427 lBF = `1.53495` Chr`7` : `122,482,977`	0.000	1.000	0.000
rs6951643 lBF = `0.395377` Chr`7` : `126,429,517`	0.000	1.000	0.000
rs6945071 lBF = `0.245762` Chr`7` : `26,122,423`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.4038

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1901

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9999

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9993

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9993

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9984

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9982

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9948

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9947

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9917

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9868

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9851

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9767

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9747

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9639

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9580

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9493

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9475

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9432

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9391

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9372

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9317

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9294

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9282

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9116

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9052

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9037

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9017

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8998

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8978

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8962

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8956

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8918

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8870

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8870

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8841

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8833

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8820

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8777

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8758

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8741

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8734

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8680

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8677

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8661

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8655

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8636

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8597

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8581

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8561

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8553

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8552

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8544

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8537

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8523

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8434

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8380

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8362

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8350

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8323

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8298

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8287

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8213

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8123

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8118

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8072

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8027

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8027

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7988

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7973

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7957

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7945

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7922

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7874

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7754

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7748

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7718

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7677

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7636

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7629

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7547

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7538

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7468

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7254

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7169

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7169

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7168

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7166

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7166

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7138

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7135

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7129

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7109

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7055

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7053

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7026

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7025

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6910

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6899

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6830

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6678

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6660

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6658

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6546

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6408

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6205

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6041

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5980

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5588

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5508

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5477

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5473

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5414

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5057

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4901

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4854

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4469

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4252

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3873

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3866

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3770

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3580

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3572

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3545

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3532

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3273

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2979

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2768

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2647

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2497

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2372

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2329

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1428

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1300

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1246

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1159

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1146

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1140

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1094

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0982

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0962

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0955

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0908

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0781

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0771

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0764

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0679

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0644

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0625

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0607

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0564

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0560

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0511

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0511

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.

Parent term	D10-D36 Benign neoplasms
Nested terms	D16.0 Scapula and long bones of upper limb D16.1 Short bones of upper limb D16.2 Long bones of lower limb D16.3 Short bones of lower limb D16.4 Bones of skull and face D16.5 Lower jaw bone D16.6 Vertebral column D16.7 Ribs, sternum and clavicle D16.8 Pelvic bones, sacrum and coccyx D16.9 Bone and articular cartilage, unspecified

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`)