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Christina M. Hultman

Researcher at Karolinska Institutet

Publications -  38
Citations -  5687

Christina M. Hultman is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Population & Copy-number variation. The author has an hindex of 22, co-authored 38 publications receiving 4005 citations. Previous affiliations of Christina M. Hultman include Uppsala University & Icahn School of Medicine at Mount Sinai.

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Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

F. Kyle Satterstrom, +201 more
- 06 Feb 2020 - 
TL;DR: The largest exome sequencing study of autism spectrum disorder (ASD) to date, using an enhanced analytical framework to integrate de novo and case-control rare variation, identifies 102 risk genes at a false discovery rate of 0.1 or less, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.
Journal ArticleDOI

Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

Christian R. Marshall, +329 more
- 01 Jan 2017 - 
TL;DR: In this article, a centralized analysis pipeline was applied to a SCZ cohort of 21,094 cases and 20,227 controls, and a global enrichment of copy number variants (CNVs) was observed in cases (odds ratio (OR) = 1.11, P = 5.7 × 10-15), which persisted after excluding loci implicated in previous studies.
Posted ContentDOI

A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects

Christian R. Marshall, +255 more
- 23 Feb 2016 - 
TL;DR: A collaborative effort in which a centralized analysis pipeline is applied to a SCZ cohort, finding support at a suggestive level for nine additional candidate susceptibility and protective loci, which consist predominantly of CNVs mediated by non-allelic homologous recombination (NAHR).
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Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders

Tarjinder Singh, +61 more
- 01 Apr 2016 - 
TL;DR: In this article, the authors found a genome-wide significant association between rare loss-of-function (LoF) variants in SETD1A and risk for schizophrenia (P = 3.3 × 10−9).
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Polygenic dissection of diagnosis and clinical dimensions of bipolar disorder and schizophrenia

TL;DR: A combined genome-wide association study of bipolar disorder and schizophrenia cases versus controls and a direct comparison GWAS of SCZ cases indicates that combining diseases with similar genetic risk profiles improves power to detect shared risk loci and that future direct comparisons of BP and SCZ are likely to identify loci with significant differential effects.