TreeWAS – [O04] Medical abortion

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
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.896	0.104	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.800	0.200	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.790	0.210	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.749	0.251	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.741	0.259	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.737	0.263	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.730	0.270	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.712	0.288	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.697	0.303	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.694	0.306	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.679	0.321	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.640	0.360	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.631	0.369	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.608	0.391	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.607	0.393	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.597	0.403	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.595	0.405	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.579	0.421	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.429	0.571
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.553	0.447	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.545	0.455	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.536	0.464	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.531	0.469	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.526	0.474	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.513	0.487	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.512	0.488	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.502	0.498	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.489	0.511	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.481	0.519	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.478	0.522	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.478	0.522	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.470	0.530	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.468	0.532	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.464	0.536	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.453	0.546	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.448	0.552	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.447	0.553	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.446	0.554	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.437	0.563	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.434	0.566	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.426	0.573	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.422	0.578	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.412	0.588	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.411	0.589	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.406	0.594	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.406	0.594	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.388	0.612	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.379	0.621	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.377	0.623	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.376	0.624	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.376	0.624	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.369	0.631	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.367	0.633	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.359	0.641	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.357	0.643	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.350	0.650	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.345	0.655	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.330	0.670	0.001
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.327	0.673	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.326	0.674	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.325	0.675	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.325	0.675	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.307	0.693	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.304	0.696	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.301	0.699	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.300	0.700	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.297	0.702	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.295	0.704	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.284	0.716	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.274	0.725	0.001
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.270	0.729	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.267	0.733	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.255	0.744	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.254	0.745	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.254	0.746	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.247	0.753	0.001
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.247	0.753	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.247	0.753	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.246	0.753	0.001
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.246	0.753	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.246	0.754	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.244	0.756	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.241	0.758	0.001
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.242	0.758	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.241	0.759	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.227	0.772	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.225	0.775	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.224	0.776	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.222	0.777	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.222	0.778	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.220	0.780	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.208	0.792	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.205	0.794	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.199	0.801	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.194	0.805	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.189	0.811	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.186	0.813	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.186	0.814	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.178	0.822	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.176	0.824	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.171	0.828	0.001
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.171	0.829	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.169	0.831	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.164	0.835	0.001
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.164	0.836	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.163	0.836	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.162	0.838	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.161	0.839	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.159	0.841	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.158	0.842	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.156	0.844	0.001
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.147	0.852	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.146	0.854	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.138	0.862	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.135	0.865	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.126	0.872	0.001
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.126	0.874	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.121	0.879	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.120	0.879	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.119	0.881	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.118	0.882	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.110	0.890	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.108	0.892	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.108	0.892	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.100	0.900	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.100	0.900	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.096	0.904	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.095	0.905	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.088	0.912	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.086	0.914	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.085	0.915	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.083	0.917	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.080	0.920	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.071	0.929	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.069	0.930	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.069	0.931	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.067	0.933	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.066	0.934	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.066	0.934	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.065	0.935	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.062	0.938	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.058	0.942	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.057	0.943	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.944	0.056
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.056	0.944	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.054	0.945	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.001	0.946	0.053
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	0.950	0.050
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.050	0.950	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.048	0.950	0.002
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.045	0.954	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.043	0.956	0.001
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.043	0.957	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.041	0.959	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.041	0.959	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.038	0.962	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.036	0.963	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.036	0.964	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.034	0.966	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.028	0.972	0.001
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.972	0.028
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.027	0.973	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.027	0.973	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.024	0.976	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.024	0.976	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.023	0.977	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.023	0.977	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.022	0.977	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.023	0.977	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.022	0.978	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.021	0.979	0.001
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.004	0.981	0.015
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.017	0.983	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.016	0.984	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.015	0.984	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.014	0.986	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.013	0.986	0.001
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.987	0.013
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	0.988	0.012
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.012	0.988	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	0.988	0.012
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.010	0.990	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.008	0.991	0.001
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.009	0.991	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	0.992	0.008
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.007	0.992	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.007	0.993	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.007	0.993	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.007	0.993	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.007	0.993	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.007	0.993	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.007	0.993	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.006	0.993	0.001
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.993	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	0.993	0.007
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.007	0.993	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.006	0.994	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	0.994	0.006
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.006	0.994	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.005	0.995	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.005	0.995	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.005	0.995	0.000
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rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.001	0.999	0.000
rs305080 lBF = `-0.0959654` Chr`16` : `85,941,774`	0.001	0.999	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.000	0.999	0.001
rs34792 lBF = `0.0928523` Chr`16` : `15,587,497`	0.000	0.999	0.001
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	0.999	0.001
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	0.999	0.001
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	0.999	0.001
rs2221433 lBF = `-0.0502745` Chr`16` : `10,663,627`	0.001	0.999	0.000
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.000	0.999	0.001
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	0.999	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	0.999	0.001
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.001	0.999	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	0.999	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	0.999	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.999	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	0.999	0.001
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	0.999	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	0.999	0.000
rs737008 lBF = `-0.028452` Chr`16` : `11,374,866`	0.000	0.999	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	0.999	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.000	0.999	0.000
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	0.999	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.000	0.999	0.001
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	1.000	0.000
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	1.000	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.000	1.000	0.000
rs2656620 lBF = `-0.0830656` Chr`16` : `78,913,387`	0.000	1.000	0.000
rs56213767 lBF = `0.62151` Chr`16` : `15,379,572`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs2018916 lBF = `-0.125196` Chr`16` : `63,700,508`	0.000	1.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.000	1.000	0.000
rs1564981 lBF = `-0.0400606` Chr`16` : `50,986,308`	0.000	1.000	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs35320143 lBF = `0.138708` Chr`16` : `66,638,245`	0.000	1.000	0.000
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	1.000	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	1.000	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	1.000	0.000
rs3112740 lBF = `0.076717` Chr`16` : `7,836,297`	0.000	1.000	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.000	1.000	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs12935422 lBF = `-0.00267497` Chr`16` : `71,664,225`	0.000	1.000	0.000
rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	1.000	0.000
rs2639889 lBF = `-0.0253793` Chr`16` : `61,123,147`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5708

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.2572

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1474

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9634

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9626

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9591

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9565

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9500

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9309

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9269

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9180

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8806

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8740

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8699

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8525

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8522

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8309

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.8188

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8187

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8067

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7963

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7843

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7621

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7592

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7538

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7536

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7423

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7370

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7314

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7240

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7231

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7157

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6806

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6647

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6608

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6567

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6399

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6365

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6239

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6215

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6175

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6127

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6111

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6012

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5910

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5850

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5738

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5638

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5613

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5558

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5340

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5338

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5274

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5232

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5084

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5060

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5053

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5032

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5024

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4814

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4780

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4771

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4740

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4722

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4647

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4634

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4626

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4620

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4610

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4563

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4547

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4411

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4358

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4280

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4258

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4204

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4099

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4084

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4082

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4016

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3950

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3917

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3890

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3861

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3643

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3582

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3554

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3533

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3528

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3482

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3463

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3435

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3391

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3342

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3319

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3313

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3292

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3281

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3272

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3224

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3168

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3100

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3087

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3070

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3012

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2999

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2992

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2980

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2972

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2957

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2943

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2919

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2847

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2812

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2739

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2733

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2682

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2650

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2635

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2590

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2572

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2567

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2537

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2417

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2373

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2363

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2302

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2234

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2209

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2205

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2177

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2096

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2089

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2050

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2047

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2009

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1970

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1936

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1936

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1924

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1910

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1824

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1781

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1707

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1662

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1652

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1624

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1591

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1519

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1483

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1424

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1402

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1396

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1384

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1363

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1346

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1346

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1332

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1318

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1286

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1268

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1261

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1227

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1165

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1149

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1144

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1077

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1071

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0999

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0988

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0953

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0925

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0909

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0906

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0872

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0867

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0827

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0791

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0786

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0770

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.0676

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0661

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0644

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0609

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0593

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`)