Lisette Graae
Karolinska Institutet
7 Papers
56 Citations
Lisette Graae is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Single-nucleotide polymorphism & Copy-number variation. The author has an hindex of 5, co-authored 7 publications.
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Papers
MAGI1 copy number variation in bipolar affective disorder and schizophrenia.
Robert Karlsson,Lisette Graae,Magnus Lekman,Dai Wang,Reyna Favis,Tomas Axelsson,Dagmar Galter,Andrea Carmine Belin,Silvia Paddock +8 more
TL;DR: Evidence is provided for a role of MAGI1 and MAGI2 in BPAD and SZ etiology and for involvement of the highest-ranking CNV from the family-based analysis in psychiatric disease.
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Hippocampal Morphology in a Rat Model of Depression: The Effects of Physical Activity
Adam Sierakowiak,Anna Mattsson,Marta Gómez-Galán,Teresa Feminía,Lisette Graae,Sahar Nikkhou Aski,Peter Damberg,Mia Lindskog,Stefan Brené,Elin Åberg +9 more
TL;DR: The findings support that voluntary wheel running, which is antidepressive in FSL rats, is associated with increased hippocampal volume and spine numbers.
Significant Association of Estrogen Receptor Binding Site Variation with Bipolar Disorder in Females
TL;DR: A genome-wide study of ER DNA-binding in patients diagnosed with major depression or bipolar disorder found a significant association result for rs6023059, a single nucleotide polymorphism placed downstream of the gene coding for transglutaminase 2 (TGM2), which suggests females with a specific genotype at this SNP may be more vulnerable to fluctuating estrogen levels.
A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis
TL;DR: The authors' CNV-weighted linkage approach identifies a risk locus for BPD on 19q13 and forms a useful tool to future studies to unravel part of the genetic vulnerability to BPD.
ReMo-SNPs: a new software tool for identification of polymorphisms in regions and motifs genome-wide.
TL;DR: ReMo-SNPs is a computational program developed to aid researchers in the process of selecting functional SNPs for association analyses in user-specified regions and/or motifs genome-wide, with the useful feature of automatic selection of genotyped markers in the user-provided material.