Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power.
Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power.
复制标题
拖拉机使用当地血统,使混血的个人能够纳入GWA,并提高权力。
DOI:
10.1038/s41588-020-00766-y
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发表时间:
2021-03
期刊:
影响因子:
30.8
通讯作者:
Neale BM
中科院分区:
文献类型:
--
作者:
Atkinson EG;Maihofer AX;Kanai M;Martin AR;Karczewski KJ;Santoro ML;Ulirsch JC;Kamatani Y;Okada Y;Finucane HK;Koenen KC;Nievergelt CM;Daly MJ;Neale BM
Admixed populations are routinely excluded from genomic studies due to concerns over population structure. Here, we present a statistical framework and software package, Tractor, to facilitate inclusion of admixed individuals in association studies by leveraging local ancestry. We test Tractor with simulated and empirical 2-way admixed African-European cohorts. Tractor generates accurate ancestry-specific effect size estimates and p values, can boost GWAS power, and improves the resolution of association signals. Using a local ancestry aware regression model, we replicate known hits for blood lipids, discover novel hits missed by standard GWAS, and localize signals closer to putative causal variants.
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影响因子:
4.5
作者:
Avery CL;He Q;North KE;Ambite JL;Boerwinkle E;Fornage M;Hindorff LA;Kooperberg C;Meigs JB;Pankow JS;Pendergrass SA;Psaty BM;Ritchie MD;Rotter JI;Taylor KD;Wilkens LR;Heiss G;Lin DY
通讯作者:
Lin DY
DOI:
10.2741/4515
发表时间:
2017-01-01
期刊:
Frontiers in bioscience (Landmark edition)
影响因子:
--
作者:
Bhardwaj A;Srivastava SK;Khan MA;Prajapati VK;Singh S;Carter JE;Singh AP
通讯作者:
Singh AP
影响因子:
--
作者:
Chen M;Yang C;Li C;Hou L;Chen X;Zhao H
通讯作者:
Zhao H
影响因子:
2.1
作者:
Andres, Aida M.;Clark, Andrew G.;Hixson, James E.
通讯作者:
Hixson, James E.
影响因子:
64.8
作者:
1000 Genomes Project Consortium;Auton A;Brooks LD;Durbin RM;Garrison EP;Kang HM;Korbel JO;Marchini JL;McCarthy S;McVean GA;Abecasis GR
通讯作者:
Abecasis GR