TreeWAS – [E21.3] Hyperparathyroidism, 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
rs2273019 lBF = `145.592` Chr`6` : `32,306,419`	0.993	0.007	0.000
rs1076712 lBF = `150.489` Chr`6` : `32,300,152`	0.988	0.012	0.000
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.987	0.013	0.000
Affx-28471855 lBF = `148.585` Chr`6` : `32,317,859`	0.987	0.013	0.000
rs3117122 lBF = `145.115` Chr`6` : `32,316,604`	0.986	0.014	0.000
rs3843518 lBF = `5.19888` Chr`6` : `10,865,383`	0.000	0.014	0.986
rs2076537 lBF = `149.041` Chr`6` : `32,317,635`	0.985	0.015	0.000
rs761188 lBF = `150.768` Chr`6` : `32,317,973`	0.985	0.015	0.000
rs910050 lBF = `149.617` Chr`6` : `32,315,654`	0.984	0.016	0.000
rs3134950 lBF = `131.729` Chr`6` : `32,127,477`	0.000	0.018	0.982
rs2269423 lBF = `135.044` Chr`6` : `32,145,707`	0.000	0.019	0.981
rs9268167 lBF = `87.3034` Chr`6` : `32,272,437`	0.981	0.019	0.000
rs9268861 lBF = `393.477` Chr`6` : `32,429,894`	0.980	0.020	0.000
rs422951 lBF = `141.828` Chr`6` : `32,188,383`	0.978	0.022	0.000
rs7767325 lBF = `77.4929` Chr`6` : `32,233,886`	0.978	0.022	0.000
rs3130340 lBF = `76.5037` Chr`6` : `32,244,627`	0.978	0.022	0.000
rs9272630 lBF = `162.464` Chr`6` : `32,608,150`	0.977	0.023	0.000
rs7751896 lBF = `75.8342` Chr`6` : `32,255,410`	0.976	0.024	0.000
rs3115560 lBF = `76.4939` Chr`6` : `32,236,142`	0.975	0.025	0.000
rs3749966 lBF = `76.6498` Chr`6` : `32,261,507`	0.975	0.025	0.000
rs9272559 lBF = `157.261` Chr`6` : `32,607,124`	0.974	0.026	0.000
rs115484013 lBF = `278.669` Chr`6` : `32,452,707`	0.974	0.026	0.000
rs1018430 lBF = `76.6565` Chr`6` : `32,281,688`	0.974	0.026	0.000
rs6901541 lBF = `390.408` Chr`6` : `32,442,261`	0.974	0.026	0.000
rs521828 lBF = `280.231` Chr`6` : `32,291,643`	0.973	0.027	0.000
rs3115569 lBF = `76.7928` Chr`6` : `32,224,139`	0.973	0.027	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.973	0.027	0.000
rs3115563 lBF = `76.6493` Chr`6` : `32,233,638`	0.973	0.027	0.000
rs3096681 lBF = `77.0179` Chr`6` : `32,235,177`	0.973	0.027	0.000
rs6909427 lBF = `79.0866` Chr`6` : `32,268,701`	0.972	0.028	0.000
rs3129943 lBF = `105.956` Chr`6` : `32,338,695`	0.972	0.028	0.000
rs9268055 lBF = `76.1528` Chr`6` : `32,230,608`	0.971	0.029	0.000
rs3115553 lBF = `75.8613` Chr`6` : `32,245,827`	0.971	0.029	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.970	0.030	0.000
rs1061808 lBF = `135.215` Chr`6` : `32,136,547`	0.000	0.030	0.970
rs3134931 lBF = `38.6873` Chr`6` : `32,190,620`	0.000	0.030	0.970
rs3132928 lBF = `75.6443` Chr`6` : `32,234,015`	0.968	0.032	0.000
rs3864302 lBF = `77.5578` Chr`6` : `32,278,792`	0.967	0.033	0.000
rs6935269 lBF = `77.7504` Chr`6` : `32,260,350`	0.966	0.034	0.000
rs9267947 lBF = `195.044` Chr`6` : `32,211,218`	0.964	0.036	0.000
rs2507997 lBF = `261.668` Chr`6` : `31,314,781`	0.962	0.038	0.000
rs9268165 lBF = `78.52` Chr`6` : `32,272,327`	0.959	0.041	0.000
rs77637983 lBF = `255.816` Chr`6` : `32,549,452`	0.958	0.042	0.000
rs394657 lBF = `168.457` Chr`6` : `32,187,023`	0.958	0.042	0.000
rs6457536 lBF = `82.0453` Chr`6` : `32,273,765`	0.953	0.047	0.000
rs3129890 lBF = `86.6135` Chr`6` : `32,414,273`	0.952	0.048	0.000
rs1018433 lBF = `85.4992` Chr`6` : `32,281,510`	0.952	0.048	0.000
rs3096673 lBF = `78.873` Chr`6` : `32,238,013`	0.951	0.049	0.000
rs9268135 lBF = `85.8206` Chr`6` : `32,255,230`	0.951	0.049	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.951	0.049	0.000
rs3864300 lBF = `83.9992` Chr`6` : `32,271,807`	0.949	0.051	0.000
rs6909790 lBF = `83.6247` Chr`6` : `32,282,979`	0.948	0.052	0.000
rs6934429 lBF = `84.5686` Chr`6` : `32,279,622`	0.947	0.053	0.000
rs1018434 lBF = `86.6385` Chr`6` : `32,281,360`	0.945	0.055	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.944	0.056	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.943	0.057	0.000
rs9269149 lBF = `81.9951` Chr`6` : `32,445,660`	0.943	0.057	0.000
rs7341328 lBF = `77.795` Chr`6` : `32,275,194`	0.942	0.058	0.000
rs1811197 lBF = `124.907` Chr`6` : `31,327,660`	0.942	0.058	0.000
rs3021302 lBF = `364.737` Chr`6` : `32,623,150`	0.941	0.059	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.941	0.059	0.000
rs3134797 lBF = `169.683` Chr`6` : `32,186,050`	0.940	0.060	0.000
rs9268885 lBF = `80.4183` Chr`6` : `32,431,705`	0.939	0.061	0.000
rs9268213 lBF = `86.1367` Chr`6` : `32,282,081`	0.937	0.063	0.000
rs9268862 lBF = `82.0613` Chr`6` : `32,430,167`	0.936	0.064	0.000
rs4434496 lBF = `81.5662` Chr`6` : `32,430,508`	0.936	0.064	0.000
rs9268977 lBF = `81.7979` Chr`6` : `32,434,939`	0.936	0.064	0.000
rs9268973 lBF = `82.169` Chr`6` : `32,434,778`	0.934	0.066	0.000
rs2157338 lBF = `85.9562` Chr`6` : `32,439,323`	0.934	0.066	0.000
rs3828790 lBF = `425.616` Chr`6` : `32,635,809`	0.000	0.068	0.932
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	0.932	0.068	0.000
rs6915455 lBF = `82.932` Chr`6` : `32,283,494`	0.932	0.068	0.000
rs3129942 lBF = `107.994` Chr`6` : `32,338,283`	0.931	0.069	0.000
rs2143462 lBF = `111.792` Chr`6` : `32,335,204`	0.930	0.070	0.000
rs3096674 lBF = `85.1077` Chr`6` : `32,238,219`	0.930	0.070	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.929	0.071	0.000
rs9268856 lBF = `82.1309` Chr`6` : `32,429,719`	0.929	0.071	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.928	0.072	0.000
rs887468 lBF = `263.542` Chr`6` : `31,141,523`	0.928	0.072	0.000
rs3130457 lBF = `312.696` Chr`6` : `31,147,194`	0.927	0.073	0.000
rs130079 lBF = `308.561` Chr`6` : `31,112,737`	0.925	0.075	0.000
rs1265159 lBF = `312.664` Chr`6` : `31,140,047`	0.924	0.076	0.000
rs1559874 lBF = `81.7562` Chr`6` : `32,243,155`	0.924	0.076	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.922	0.078	0.000
rs429853 lBF = `153.055` Chr`6` : `32,187,202`	0.922	0.078	0.000
rs3129924 lBF = `114.495` Chr`6` : `32,333,299`	0.921	0.079	0.000
rs3134745 lBF = `252.025` Chr`6` : `31,242,762`	0.920	0.080	0.000
rs2143461 lBF = `117.85` Chr`6` : `32,335,347`	0.920	0.080	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.920	0.080	0.000
rs9268125 lBF = `86.2747` Chr`6` : `32,252,678`	0.920	0.080	0.000
rs1150765 lBF = `304.593` Chr`6` : `31,127,562`	0.919	0.081	0.000
rs9269831 lBF = `259.034` Chr`6` : `32,550,012`	0.919	0.081	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.918	0.082	0.000
rs3129937 lBF = `115.647` Chr`6` : `32,336,364`	0.918	0.082	0.000
rs3129939 lBF = `115.58` Chr`6` : `32,336,766`	0.918	0.082	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.917	0.083	0.000
rs130071 lBF = `200.735` Chr`6` : `31,116,210`	0.916	0.084	0.000
rs7742654 lBF = `78.9886` Chr`6` : `32,271,443`	0.915	0.085	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.914	0.086	0.000
rs2780226 lBF = `5.10037` Chr`6` : `34,199,092`	0.914	0.086	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.912	0.088	0.000
rs1576 lBF = `215.338` Chr`6` : `31,110,391`	0.912	0.088	0.000
rs9268176 lBF = `84.555` Chr`6` : `32,274,079`	0.911	0.089	0.000
rs6934776 lBF = `85.8605` Chr`6` : `32,279,816`	0.910	0.090	0.000
rs9268212 lBF = `85.5709` Chr`6` : `32,281,889`	0.910	0.090	0.000
rs3129926 lBF = `114.929` Chr`6` : `32,333,480`	0.910	0.090	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.909	0.091	0.000
rs9269822 lBF = `259.668` Chr`6` : `32,549,810`	0.909	0.091	0.000
rs2251824 lBF = `33.847` Chr`6` : `31,511,857`	0.908	0.092	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.904	0.096	0.000
rs3132954 lBF = `142.222` Chr`6` : `32,311,459`	0.904	0.096	0.000
rs72851052 lBF = `261.226` Chr`6` : `32,502,249`	0.904	0.096	0.000
rs2050190 lBF = `201.518` Chr`6` : `32,339,076`	0.903	0.097	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.901	0.099	0.000
rs2844482 lBF = `34.6959` Chr`6` : `31,539,767`	0.901	0.099	0.000
rs1265112 lBF = `219.091` Chr`6` : `31,118,019`	0.900	0.100	0.000
rs9268137 lBF = `85.7285` Chr`6` : `32,255,269`	0.899	0.101	0.000
rs9269861 lBF = `251.556` Chr`6` : `32,550,501`	0.000	0.101	0.899
rs9268197 lBF = `84.1219` Chr`6` : `32,277,934`	0.897	0.103	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.895	0.105	0.000
rs2535324 lBF = `83.01` Chr`6` : `30,718,035`	0.895	0.105	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.895	0.105	0.000
rs2229094 lBF = `36.0118` Chr`6` : `31,540,556`	0.894	0.106	0.000
rs523383 lBF = `87.9986` Chr`6` : `25,869,848`	0.894	0.106	0.000
rs1559873 lBF = `85.3626` Chr`6` : `32,243,129`	0.893	0.107	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.893	0.107	0.000
rs113529884 lBF = `245.207` Chr`6` : `32,553,828`	0.891	0.109	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.890	0.110	0.000
rs1265078 lBF = `216.001` Chr`6` : `31,112,602`	0.888	0.112	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.888	0.112	0.000
rs548987 lBF = `92.1448` Chr`6` : `25,869,371`	0.886	0.114	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.886	0.114	0.000
rs3132931 lBF = `84.3484` Chr`6` : `32,235,895`	0.885	0.115	0.000
rs2156875 lBF = `144.18` Chr`6` : `31,317,347`	0.000	0.116	0.884
rs9268153 lBF = `114.869` Chr`6` : `32,264,179`	0.880	0.120	0.000
rs3130467 lBF = `258.483` Chr`6` : `31,187,075`	0.877	0.123	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.876	0.124	0.000
rs2844647 lBF = `93.3345` Chr`6` : `31,011,013`	0.875	0.125	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.875	0.125	0.000
rs3130944 lBF = `278.865` Chr`6` : `31,196,671`	0.875	0.125	0.000
rs3130942 lBF = `276.936` Chr`6` : `31,197,293`	0.874	0.126	0.000
rs2855812 lBF = `350.197` Chr`6` : `31,472,720`	0.874	0.126	0.000
rs9257793 lBF = `196.605` Chr`6` : `29,335,154`	0.873	0.127	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.872	0.128	0.000
rs9295740 lBF = `113.353` Chr`6` : `27,689,502`	0.872	0.128	0.000
rs1062630 lBF = `299.357` Chr`6` : `31,138,107`	0.872	0.128	0.000
rs2516489 lBF = `32.5039` Chr`6` : `31,488,038`	0.871	0.129	0.000
rs2009658 lBF = `34.5004` Chr`6` : `31,538,244`	0.870	0.130	0.000
rs501220 lBF = `90.8209` Chr`6` : `25,873,025`	0.870	0.130	0.000
rs3130517 lBF = `257.807` Chr`6` : `31,190,303`	0.869	0.131	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.869	0.131	0.000
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.868	0.132	0.000
rs2056925 lBF = `85.9576` Chr`6` : `27,690,905`	0.867	0.133	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.866	0.134	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.866	0.134	0.000
rs9274552 lBF = `439.186` Chr`6` : `32,634,838`	0.000	0.134	0.866
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.866	0.134	0.000
rs746647 lBF = `217.115` Chr`6` : `31,114,182`	0.865	0.135	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.865	0.135	0.000
rs3130713 lBF = `274.609` Chr`6` : `31,205,617`	0.865	0.135	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.864	0.136	0.000
rs2523512 lBF = `33.456` Chr`6` : `31,506,801`	0.863	0.137	0.000
rs9270965 lBF = `191.046` Chr`6` : `32,573,471`	0.862	0.138	0.000
rs3130473 lBF = `274.782` Chr`6` : `31,199,208`	0.862	0.138	0.000
rs2523557 lBF = `89.8237` Chr`6` : `31,331,257`	0.862	0.138	0.000
rs2259435 lBF = `31.1222` Chr`6` : `31,496,915`	0.862	0.138	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.861	0.139	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.860	0.140	0.000
rs7748167 lBF = `88.1606` Chr`6` : `25,904,652`	0.860	0.140	0.000
rs9273215 lBF = `440.214` Chr`6` : `32,613,712`	0.000	0.140	0.860
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.860	0.140	0.000
rs1265114 lBF = `217.1` Chr`6` : `31,117,188`	0.859	0.141	0.000
rs2394895 lBF = `297.618` Chr`6` : `31,206,979`	0.858	0.142	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.858	0.142	0.000
rs1063355 lBF = `441.898` Chr`6` : `32,627,714`	0.000	0.143	0.857
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.857	0.143	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.856	0.144	0.000
rs3094123 lBF = `34.9612` Chr`6` : `30,772,378`	0.000	0.144	0.856
rs9273373 lBF = `453.011` Chr`6` : `32,626,601`	0.855	0.145	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.855	0.145	0.000
rs3134762 lBF = `297.667` Chr`6` : `31,210,866`	0.855	0.145	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.854	0.146	0.000
rs3130424 lBF = `298.79` Chr`6` : `31,218,239`	0.854	0.146	0.000
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	0.146	0.854
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.854	0.146	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.853	0.147	0.000
rs3132506 lBF = `290.614` Chr`6` : `31,176,226`	0.853	0.147	0.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	0.147	0.853
rs9272346 lBF = `453.316` Chr`6` : `32,604,372`	0.851	0.149	0.000
rs73727981 lBF = `257.099` Chr`6` : `32,511,791`	0.851	0.149	0.000
rs6901520 lBF = `84.0842` Chr`6` : `27,714,575`	0.851	0.149	0.000
rs9273088 lBF = `442.306` Chr`6` : `32,612,488`	0.000	0.149	0.851
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.851	0.149	0.000
rs6910668 lBF = `115.058` Chr`6` : `32,263,458`	0.850	0.150	0.000
rs9273339 lBF = `437.281` Chr`6` : `32,623,430`	0.000	0.150	0.850
rs3130953 lBF = `262.222` Chr`6` : `31,177,094`	0.850	0.150	0.000
rs13220896 lBF = `12.8209` Chr`6` : `31,369,662`	0.849	0.151	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.848	0.152	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.847	0.153	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.847	0.153	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.847	0.153	0.000
rs2516478 lBF = `31.7187` Chr`6` : `31,498,737`	0.847	0.153	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.845	0.155	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.844	0.156	0.000
rs202118863 lBF = `260.489` Chr`6` : `32,520,509`	0.842	0.158	0.000
rs10484561 lBF = `88.6655` Chr`6` : `32,665,420`	0.000	0.159	0.841
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rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.747	0.253	0.000
rs2508015 lBF = `169.83` Chr`6` : `31,010,200`	0.746	0.254	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	0.746	0.254	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.746	0.254	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.745	0.255	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.745	0.255	0.000
rs9268832 lBF = `268.042` Chr`6` : `32,427,789`	0.744	0.256	0.000
rs72845730 lBF = `263.988` Chr`6` : `32,526,731`	0.000	0.257	0.743
rs2857143 lBF = `30.1495` Chr`6` : `32,772,636`	0.000	0.258	0.742
rs1110446 lBF = `126.145` Chr`6` : `30,070,937`	0.742	0.258	0.000
rs3096697 lBF = `98.9911` Chr`6` : `32,134,510`	0.742	0.258	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.742	0.258	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.742	0.258	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.742	0.258	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.741	0.259	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.741	0.259	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.741	0.259	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.740	0.260	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.740	0.260	0.000
rs2233974 lBF = `113.942` Chr`6` : `31,080,016`	0.739	0.261	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.739	0.261	0.000
rs3130427 lBF = `87.6261` Chr`6` : `31,218,984`	0.000	0.261	0.739
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.738	0.262	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.737	0.263	0.000
rs2857126 lBF = `28.2214` Chr`6` : `32,777,140`	0.000	0.264	0.736
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.736	0.264	0.000
rs3132659 lBF = `232.342` Chr`6` : `30,231,330`	0.736	0.264	0.000
rs3132657 lBF = `228.489` Chr`6` : `30,233,513`	0.735	0.265	0.000
rs1130368 lBF = `91.0451` Chr`6` : `32,632,818`	0.000	0.265	0.735
rs9264532 lBF = `72.8338` Chr`6` : `31,234,381`	0.000	0.266	0.734
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.734	0.266	0.000
rs3799380 lBF = `79.7618` Chr`6` : `26,467,182`	0.733	0.267	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.733	0.267	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.732	0.267	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.732	0.268	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.732	0.268	0.000
rs9271117 lBF = `255.979` Chr`6` : `32,576,795`	0.000	0.268	0.732
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.731	0.269	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.731	0.269	0.000
rs9265549 lBF = `194.028` Chr`6` : `31,298,240`	0.731	0.269	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.731	0.269	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.731	0.269	0.000
rs9461406 lBF = `80.8387` Chr`6` : `27,719,764`	0.730	0.270	0.000
rs2747421 lBF = `99.6117` Chr`6` : `29,645,118`	0.730	0.270	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.729	0.271	0.000
rs3094073 lBF = `232.798` Chr`6` : `30,231,224`	0.729	0.271	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.729	0.271	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.729	0.271	0.000
rs3132658 lBF = `231.971` Chr`6` : `30,231,666`	0.728	0.272	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.728	0.272	0.000
rs2523700 lBF = `234.948` Chr`6` : `31,453,029`	0.727	0.273	0.000
rs2856830 lBF = `13.9723` Chr`6` : `33,041,734`	0.727	0.273	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.727	0.273	0.000
rs7775835 lBF = `174.968` Chr`6` : `28,678,357`	0.727	0.273	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.727	0.273	0.000
rs9500927 lBF = `18.5838` Chr`6` : `32,961,361`	0.726	0.274	0.000
rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.726	0.274	0.000
rs66525318 lBF = `102.285` Chr`6` : `32,504,136`	0.000	0.276	0.724
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.724	0.276	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.723	0.277	0.000
rs6922111 lBF = `93.7796` Chr`6` : `28,325,308`	0.722	0.278	0.000
rs204993 lBF = `249.805` Chr`6` : `32,155,581`	0.722	0.278	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.720	0.280	0.000
rs3130557 lBF = `159.98` Chr`6` : `31,094,703`	0.719	0.281	0.000
rs13207673 lBF = `93.5111` Chr`6` : `25,901,133`	0.719	0.281	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.719	0.281	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.719	0.281	0.000
rs3130688 lBF = `74.9524` Chr`6` : `31,210,216`	0.000	0.282	0.718
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.717	0.283	0.000
rs200956 lBF = `128.114` Chr`6` : `27,839,746`	0.716	0.284	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.716	0.284	0.000
rs28570051 lBF = `173.657` Chr`6` : `31,210,601`	0.713	0.287	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.713	0.287	0.000
rs9276614 lBF = `42.3042` Chr`6` : `32,743,193`	0.000	0.287	0.713
rs9257802 lBF = `148.114` Chr`6` : `29,343,355`	0.712	0.288	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.712	0.288	0.000
rs9263567 lBF = `208.678` Chr`6` : `31,069,527`	0.712	0.288	0.000
rs3130320 lBF = `217.41` Chr`6` : `32,223,258`	0.711	0.289	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.711	0.289	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.710	0.290	0.000
rs75891606 lBF = `16.6189` Chr`6` : `502,106`	0.710	0.290	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.710	0.290	0.000
rs2523864 lBF = `147.734` Chr`6` : `31,018,546`	0.710	0.290	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.710	0.290	0.000
Affx-37072023 lBF = `455.451` Chr`6` : `32,612,430`	0.000	0.291	0.709
rs2535238 lBF = `100.36` Chr`6` : `29,645,038`	0.709	0.291	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	0.707	0.293	0.000
rs2248372 lBF = `103.651` Chr`6` : `31,446,466`	0.000	0.294	0.706
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.706	0.294	0.000
rs1165165 lBF = `47.0935` Chr`6` : `25,862,466`	0.705	0.295	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 X0116

log Bayes Factor = 12.7289

contains 3 variants

0.8776

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2249

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1123

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0525

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9961

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9946

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9909

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9906

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9850

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9805

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9721

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9678

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9525

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9441

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9429

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9383

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9364

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9036

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9016

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8973

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8944

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8879

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8840

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8785

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8630

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8511

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8377

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8329

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8272

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8099

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8044

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8037

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.7913

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7872

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7839

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7807

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7630

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7626

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7588

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7379

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7249

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7230

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7072

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7070

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6807

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6806

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6799

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6707

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6706

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6686

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6658

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6611

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6544

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6537

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6527

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6526

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6479

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6386

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6377

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6304

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6264

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6156

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6094

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5892

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5653

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5599

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5552

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5504

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5489

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5469

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5385

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5374

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5312

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5012

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4994

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4979

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4852

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4760

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4752

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4703

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4654

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4613

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4457

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4449

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4420

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4365

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4332

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4261

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4170

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4128

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4101

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4082

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4027

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4012

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4009

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3984

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3977

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3873

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3743

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3715

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3631

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3551

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3451

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3430

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3286

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3265

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3253

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3055

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3038

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2883

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2864

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2769

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2745

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2732

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2669

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2598

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2552

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2538

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2490

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2348

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2343

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2341

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2184

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2181

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2165

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2033

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2008

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1958

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1939

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1919

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1864

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1855

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1776

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1769

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1723

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1688

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1646

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1586

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1510

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.1504

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1491

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1438

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1381

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1321

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1321

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1266

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1229

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1222

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1214

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1187

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1151

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1075

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1074

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1007

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1004

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0969

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0958

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0878

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0877

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0871

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0836

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0835

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0779

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0757

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0745

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0696

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0648

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0602

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0576

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0571

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`)