Publications of Till F. M. Andlauer
All genres
Journal Article (38)
2020
Journal Article
183 (6), pp. 309 - 330 (2020)
Genetic comorbidity between major depression and cardio-metabolic traits, stratified by age at onset of major depression. AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS
Journal Article
46, pp. S35 - S36 (2020)
IMPACT OF POLYGENIC AND POLY-ENVIRONMENTAL RISK FACTORS ON A PSYCHOSIS RISK PHENOTYPE EXPLAINED THROUGH BRAIN STRUCTURE. SCHIZOPHRENIA BULLETIN
Journal Article
139 (5), pp. 959 - 962 (2020)
A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity. ACTA NEUROPATHOLOGICA 2019
Journal Article
208, pp. 67 - 75 (2019)
Associations of schizophrenia risk genes ZNF804A and CACNA1C with schizotypy and modulation of attention in healthy subjects. Schizophrenia Research
Journal Article
210, pp. 255 - 261 (2019)
The influence of religious activity and polygenic schizophrenia risk on religious delusions in schizophrenia. SCHIZOPHRENIA RESEARCH
Journal Article
9, 14 (2019)
Genome-wide by environment interaction studies of depressive symptoms and psychosocial stress in UK Biobank and Generation Scotland. TRANSLATIONAL PSYCHIATRY
Journal Article
25 (4), pp. 565 - 573 (2019)
Effect of HLA-DRB1 alleles and genetic variants on the development of neutralizing antibodies to interferon beta in the BEYOND and BENEFIT trials. MULTIPLE SCLEROSIS JOURNAL
Journal Article
180 (2), pp. 89 - 102 (2019)
A longitudinal approach to biological psychiatric research: The PsyCourse study. SI
Journal Article
76 (4), pp. 399 - 408 (2019)
Assessment of Bidirectional Relationships Between Physical Activity and Depression Among Adults A 2-Sample Mendelian Randomization Study. JAMA PSYCHIATRY
Journal Article
10, 2548 (2019)
Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns. NATURE COMMUNICATIONS
Journal Article
180 (1), pp. 35 - 45 (2019)
Evidence for increased genetic risk load for major depression in patients assigned to electroconvulsive therapy. AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS
Journal Article
9, 77 (2019)
Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia. TRANSLATIONAL PSYCHIATRY
Journal Article
51 (3), pp. 431 - 444 (2019)
Identification of common genetic risk variants for autism spectrum disorder. NATURE GENETICS
Journal Article
21 (1), pp. 68 - 75 (2019)
Investigating polygenic burden in age at disease onset in bipolar disorder: Findings from an international multicentric study. BIPOLAR DISORDERS
Journal Article
208, pp. 67 - 75 (2019)
Associations of schizophrenia risk genes ZNF804A and CACNA1C with schizotypy and modulation of attention in healthy subjects. SCHIZOPHRENIA RESEARCH
Journal Article
365 (6460), eaav7188, pp. 1417 - 1430 (2019)
Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility. SCIENCE
Journal Article
9, 187 (2019)
Treatment response classes in major depressive disorder identified by model-based clustering and validated by clinical prediction models. TRANSLATIONAL PSYCHIATRY
Journal Article
138 (2), pp. 237 - 250 (2019)
A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity. ACTA NEUROPATHOLOGICA Meeting Abstract (11)
2019
Meeting Abstract
29, p. S798 - S798. 25th World Congress of Psychiatric Genetics (WCPG), Orlando, FL, October 13, 2017 - October 17, 2017. (2019)
GENETIC FACTORS INFLUENCING THE COMMON NEUROBIOLOGICAL SUBSTRATE FOR MENTAL DISORDERS. In EUROPEAN NEUROPSYCHOPHARMACOLOGY,
Meeting Abstract
25, pp. 906 - 907. 35th Congress of the
European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis
(ECTRIMS) / 24th Annual Conference of Rehabilitation in MS, Stockholm, SWEDEN, September 11, 2019 - September 13, 2019. (2019)
Identification of functionally relevant genetic variants associated with multiple sclerosis using deep learning. In MULTIPLE SCLEROSIS JOURNAL,