transparent gif

 

Ej inloggad.

Göteborgs universitets publikationer

Predicting quantitative traits from genome and phenome with near perfect accuracy.

Författare och institution:
Kaspar Märtens (-); Johan Hallin (-); Jonas Warringer (Institutionen för kemi och molekylärbiologi & Linnécentrum för marin evolutionsbiologi (CEMEB)); Gianni Liti (-); Leopold Parts (-)
Publicerad i:
Nature communications, 7 s. 11512
ISSN:
2041-1723
Publikationstyp:
Artikel, refereegranskad vetenskaplig
Publiceringsår:
2016
Språk:
engelska
Fulltextlänk:
Sammanfattning (abstract):
In spite of decades of linkage and association studies and its potential impact on human health, reliable prediction of an individual's risk for heritable disease remains difficult. Large numbers of mapped loci do not explain substantial fractions of heritable variation, leaving an open question of whether accurate complex trait predictions can be achieved in practice. Here, we use a genome sequenced population of ∼7,000 yeast strains of high but varying relatedness, and predict growth traits from family information, effects of segregating genetic variants and growth in other environments with an average coefficient of determination R(2) of 0.91. This accuracy exceeds narrow-sense heritability, approaches limits imposed by measurement repeatability and is higher than achieved with a single assay in the laboratory. Our results prove that very accurate prediction of complex traits is possible, and suggest that additional data from families rather than reference cohorts may be more useful for this purpose.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
NATURVETENSKAP ->
Biologiska vetenskaper ->
Mikrobiologi
NATURVETENSKAP ->
Biologiska vetenskaper ->
Genetik
MEDICIN OCH HÄLSOVETENSKAP ->
Medicinska grundvetenskaper ->
Medicinsk genetik ->
Molekylär medicin (genetik och patologi)
Postens nummer:
236944
Posten skapad:
2016-05-26 12:45

Visa i Endnote-format

Göteborgs universitet • Tel. 031-786 0000
© Göteborgs universitet 2007