The Medaka Inbred Kiyosu-Karlsruhe (MIKK) panel.
The Medaka Inbred Kiyosu-Karlsruhe (MIKK) panel.
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DOI:
10.1186/s13059-022-02623-z
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发表时间:
2022-02-21
期刊:
影响因子:
12.3
通讯作者:
Loosli F
中科院分区:
文献类型:
--
作者:
Fitzgerald T;Brettell I;Leger A;Wolf N;Kusminski N;Monahan J;Barton C;Herder C;Aadepu N;Gierten J;Becker C;Hammouda OT;Hasel E;Lischik C;Lust K;Sokolova N;Suzuki R;Tsingos E;Tavhelidse T;Thumberger T;Watson P;Welz B;Khouja N;Naruse K;Birney E;Wittbrodt J;Loosli F
Unraveling the relationship between genetic variation and phenotypic traits remains a fundamental challenge in biology. Mapping variants underlying complex traits while controlling for confounding environmental factors is often problematic. To address this, we establish a vertebrate genetic resource specifically to allow for robust genotype-to-phenotype investigations. The teleost medaka (Oryzias latipes) is an established genetic model system with a long history of genetic research and a high tolerance to inbreeding from the wild. Here we present the Medaka Inbred Kiyosu-Karlsruhe (MIKK) panel: the first near-isogenic panel of 80 inbred lines in a vertebrate model derived from a wild founder population. Inbred lines provide fixed genomes that are a prerequisite for the replication of studies, studies which vary both the genetics and environment in a controlled manner, and functional testing. The MIKK panel will therefore enable phenotype-to-genotype association studies of complex genetic traits while allowing for careful control of interacting factors, with numerous applications in genetic research, human health, drug development, and fundamental biology. Here we present a detailed characterization of the genetic variation across the MIKK panel, which provides a rich and unique genetic resource to the community by enabling large-scale experiments for mapping complex traits. The online version contains supplementary material available at 10.1186/s13059-022-02623-z.
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影响因子:
56.9
作者:
Ganna, Andrea;Verweij, Karin J. H.;Wilson, C. H.
通讯作者:
Wilson, C. H.
影响因子:
9.2
作者:
Chang CC;Chow CC;Tellier LC;Vattikuti S;Purcell SM;Lee JJ
通讯作者:
Lee JJ
影响因子:
64.5
作者:
Astle, William J.;Elding, Heather;Soranzo, Nicole
通讯作者:
Soranzo, Nicole
影响因子:
9.3
作者:
Ashbrook DG;Arends D;Prins P;Mulligan MK;Roy S;Williams EG;Lutz CM;Valenzuela A;Bohl CJ;Ingels JF;McCarty MS;Centeno AG;Hager R;Auwerx J;Lu L;Williams RW
通讯作者:
Williams RW
影响因子:
30.8
作者:
Braasch I;Gehrke AR;Smith JJ;Kawasaki K;Manousaki T;Pasquier J;Amores A;Desvignes T;Batzel P;Catchen J;Berlin AM;Campbell MS;Barrell D;Martin KJ;Mulley JF;Ravi V;Lee AP;Nakamura T;Chalopin D;Fan S;Wcisel D;Cañestro C;Sydes J;Beaudry FE;Sun Y;Hertel J;Beam MJ;Fasold M;Ishiyama M;Johnson J;Kehr S;Lara M;Letaw JH;Litman GW;Litman RT;Mikami M;Ota T;Saha NR;Williams L;Stadler PF;Wang H;Taylor JS;Fontenot Q;Ferrara A;Searle SM;Aken B;Yandell M;Schneider I;Yoder JA;Volff JN;Meyer A;Amemiya CT;Venkatesh B;Holland PW;Guiguen Y;Bobe J;Shubin NH;Di Palma F;Alföldi J;Lindblad-Toh K;Postlethwait JH
通讯作者:
Postlethwait JH