TreeWAS – [O70.9] Perineal laceration during delivery, unspecified

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.711	0.289	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.709	0.291	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.698	0.302	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.615	0.385	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.611	0.388	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.609	0.391	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.574	0.426	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.555	0.445	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.548	0.452	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.469	0.531
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.529	0.471	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.525	0.474	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.489	0.511	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.487	0.513	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.479	0.520	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.479	0.521	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.470	0.530	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.459	0.541	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.438	0.562	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.427	0.573	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.425	0.574	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.422	0.578	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.421	0.579	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.415	0.585	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.412	0.588	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.386	0.614	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.383	0.617	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.372	0.627	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.371	0.629	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.364	0.636	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.358	0.642	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.354	0.646	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.351	0.649	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.344	0.656	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.334	0.665	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.333	0.666	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.333	0.667	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.327	0.672	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.313	0.687	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.306	0.693	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.305	0.695	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.304	0.695	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.304	0.696	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.300	0.700	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.286	0.714	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.284	0.716	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.269	0.731	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.256	0.744	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.749	0.251
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.248	0.752	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.243	0.756	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.240	0.760	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.231	0.768	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.221	0.779	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.221	0.779	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.218	0.781	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.215	0.785	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.214	0.785	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.209	0.791	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.209	0.791	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.200	0.799	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.196	0.804	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.190	0.810	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.187	0.812	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.187	0.813	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.183	0.817	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.170	0.830	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.162	0.838	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.155	0.845	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.148	0.852	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.143	0.857	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.142	0.858	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.139	0.861	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.138	0.861	0.001
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.127	0.872	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.127	0.873	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.124	0.876	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.121	0.879	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.120	0.879	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.115	0.884	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.110	0.889	0.001
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.107	0.892	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.107	0.892	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.106	0.894	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.100	0.900	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.096	0.903	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.093	0.906	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.092	0.908	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.084	0.916	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.084	0.916	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.083	0.917	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.079	0.919	0.002
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.079	0.920	0.001
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.076	0.924	0.001
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.075	0.925	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.070	0.929	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.068	0.931	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.067	0.933	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.933	0.067
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.063	0.937	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.061	0.938	0.001
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.061	0.939	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.054	0.946	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.052	0.948	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.948	0.052
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.051	0.948	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.051	0.949	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	0.952	0.048
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.047	0.953	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.047	0.953	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.045	0.954	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.045	0.955	0.001
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.045	0.955	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.045	0.955	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.039	0.960	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.038	0.962	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.038	0.962	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.036	0.964	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.035	0.965	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.033	0.966	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.033	0.967	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.033	0.967	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.028	0.972	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.026	0.973	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.025	0.975	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.024	0.975	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.024	0.976	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.023	0.977	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.022	0.978	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.021	0.978	0.001
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.020	0.979	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.019	0.981	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.018	0.981	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.018	0.982	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.018	0.982	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.018	0.982	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.016	0.984	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.016	0.984	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.015	0.984	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.015	0.985	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.015	0.985	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.014	0.986	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.013	0.986	0.001
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.012	0.987	0.001
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.012	0.988	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.011	0.989	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.010	0.989	0.001
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.010	0.989	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.011	0.989	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.010	0.989	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.010	0.990	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.990	0.010
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.009	0.990	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.009	0.991	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.009	0.991	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	0.991	0.009
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.009	0.991	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.008	0.991	0.001
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.008	0.992	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.008	0.992	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.007	0.992	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.007	0.993	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.006	0.993	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.007	0.993	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	0.993	0.006
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.006	0.993	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.994	0.006
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.994	0.006
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.006	0.994	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.006	0.994	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.005	0.994	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.005	0.995	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.005	0.995	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.005	0.995	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.004	0.995	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.995	0.004
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.004	0.996	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.004	0.996	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.004	0.996	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	0.996	0.004
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.004	0.996	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.004	0.996	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.003	0.996	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.003	0.997	0.000
rs16944158 lBF = `-0.0260663` Chr`16` : `49,652,779`	0.000	0.997	0.003
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.003	0.997	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.001	0.997	0.002
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.003	0.997	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	0.997	0.003
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.003	0.997	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	0.997	0.003
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	0.997	0.002
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.003	0.997	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	0.997	0.002
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.001	0.998	0.001
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.002	0.998	0.000
rs737008 lBF = `-0.028452` Chr`16` : `11,374,866`	0.000	0.998	0.002
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rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.000	0.999	0.001
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.000	0.999	0.001
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.001	0.999	0.000
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.001	0.999	0.000
rs12927162 lBF = `-0.046225` Chr`16` : `52,684,916`	0.000	0.999	0.001
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	0.999	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.999	0.000
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	0.999	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.999	0.000
rs9929218 lBF = `2.615` Chr`16` : `68,820,946`	0.000	0.999	0.001
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	0.999	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	0.999	0.001
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.000	0.999	0.000
rs7190997 lBF = `0.0229797` Chr`16` : `31,368,178`	0.000	0.999	0.001
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	0.999	0.001
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	0.999	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.000	0.999	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	0.999	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	0.999	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	0.999	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	0.999	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	0.999	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.000	0.999	0.000
rs11859036 lBF = `-0.114229` Chr`16` : `80,305,551`	0.000	0.999	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	0.999	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	0.999	0.000
rs12445568 lBF = `0.111174` Chr`16` : `31,004,812`	0.000	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	0.999	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	1.000	0.000
rs11865038 lBF = `0.213016` Chr`16` : `31,095,171`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	1.000	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.000	1.000	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	1.000	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	1.000	0.000
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	1.000	0.000
rs198160 lBF = `-0.0413913` Chr`16` : `24,240,725`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.000	1.000	0.000
rs2656620 lBF = `-0.0830656` Chr`16` : `78,913,387`	0.000	1.000	0.000
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	1.000	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	1.000	0.000
rs763014 lBF = `-0.0101051` Chr`16` : `675,680`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	1.000	0.000
rs7199343 lBF = `-0.0507337` Chr`16` : `73,009,024`	0.000	1.000	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	1.000	0.000
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.000	1.000	0.000
rs9931232 lBF = `13.6644` Chr`16` : `52,572,832`	0.000	1.000	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	1.000	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	1.000	0.000
rs17213965 lBF = `0.0146115` Chr`16` : `15,881,967`	0.000	1.000	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	1.000	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	1.000	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	1.000	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	1.000	0.000
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.000	1.000	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	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

0.5312

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.2267

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9685

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9381

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8890

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8655

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8457

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8316

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8180

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8138

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8130

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7858

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7670

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7563

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7378

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7230

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7203

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7197

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7172

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7165

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7140

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7103

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7093

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7037

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6962

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6954

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6907

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6897

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6618

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6611

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6194

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6159

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6134

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6098

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6064

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6027

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6018

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5926

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5829

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5795

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5614

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5566

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5349

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5330

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5249

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5193

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5181

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4462

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4352

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4319

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4243

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4094

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4093

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3998

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3824

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3799

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3789

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3701

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3566

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3565

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3557

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3521

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3398

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3391

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3251

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3251

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3210

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3208

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3157

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3151

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3058

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3053

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3039

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3007

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2935

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2890

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2847

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2817

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2815

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2773

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2645

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2598

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2461

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2441

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2409

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2290

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2235

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2216

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2207

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2143

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2128

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2074

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2045

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2010

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1968

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1940

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1926

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1913

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1890

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1887

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1872

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1805

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1800

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1758

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1744

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1665

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1664

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1651

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1646

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1622

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1621

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1537

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1482

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1439

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1411

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1392

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1388

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1344

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1321

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1291

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1289

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1251

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1195

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1096

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0964

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0963

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0923

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0907

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0882

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0856

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0834

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0789

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0785

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0750

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0725

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0693

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0671

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0664

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0652

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0592

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0591

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0574

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0552

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0536

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0531

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0506

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`)