scholarly journals A chromosome 10 variant with a 12 Mb inversion [inv(10)(q11.22q21.1)] identical by descent and frequent in the Swedish population

2009 ◽  
Vol 149A (3) ◽  
pp. 380-386 ◽  
Author(s):  
Miriam Entesarian ◽  
Birgit Carlsson ◽  
Mahmoud Reza Mansouri ◽  
Eva-Lena Stattin ◽  
Eva Holmberg ◽  
...  
Keyword(s):  
Chromosome 10 ◽  
Swedish Population ◽  
Identical By Descent

Novel genes on rat chromosome 10 are linked to body fat mass, preadipocyte number and adipocyte size

2016 ◽  
Vol 11 (S 01) ◽  
Author(s):  
A Weingarten ◽  
L Turchetti ◽  
K Krohn ◽  
M Kern ◽  
I Klöting ◽  
...  
Keyword(s):  
Body Fat ◽  
Fat Mass ◽  
Body Fat Mass ◽  
Adipocyte Size ◽  
Chromosome 10 ◽  
Novel Genes

Sibling Alcohol Use Disorder Is Associated With Increased Risk for Suicide Attempt

2021 ◽  
pp. 216770262110250
Author(s):  
Mallory E. Stephenson ◽  
Sara Larsson Lönn ◽  
Jessica E. Salvatore ◽  
Jan Sundquist ◽  
Kenneth S. Kendler ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Suicide Attempt ◽  
Alcohol Use Disorder ◽  
Cox Regression ◽  
Population Based ◽  
Swedish Population ◽  
Sibling Pairs ◽  
Increased Risk ◽  
Using Data ◽  
Shared Genetic

The association between having a sibling diagnosed with alcohol use disorder (AUD) and risk for suicide attempt may be attributable to shared genetic liability between AUD and suicidal behavior, effects of environmental exposure to a sibling’s AUD, or both. To distinguish between these alternatives, we conducted a series of Cox regression models using data derived from Swedish population-based registers with national coverage. Among full sibling pairs (656,807 males and 607,096 females), we found that, even after we accounted for the proband’s AUD status, the proband’s risk for suicide attempt was significantly elevated when the proband’s sibling was affected by AUD. Furthermore, the proband’s risk for suicide attempt was consistently higher when the sibling’s AUD registration had occurred more recently. Our findings provide evidence for exposure to sibling AUD as an environmental risk factor for suicide attempt and suggest that clinical outreach may be warranted following a sibling’s diagnosis with AUD.

scholarly journals The patterns of family genetic risk scores for eleven major psychiatric and substance use disorders in a Swedish national sample

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kenneth S. Kendler ◽  
Henrik Ohlsson ◽  
Jan Sundquist ◽  
Kristina Sundquist
Keyword(s):  
Genetic Risk ◽  
Molecular Genetic ◽  
National Sample ◽  
Autism Spectrum ◽  
Risk Scores ◽  
Pedigree Data ◽  
Obsessive Compulsive ◽  
Swedish Population ◽  
Compulsive Disorder ◽  
Genetic Risk Scores

AbstractTo clarify the structure of genetic risks for 11 major psychiatric disorders, we calculated, from morbidity risks for disorders in 1st–5th degree relatives controlling for cohabitation effects, in the Swedish population born between 1932 and 1995 (n = 5,830,014), the family genetic risk scores (FGRS) for major depression (MD), anxiety disorders (AD), obsessive-compulsive disorder (OCD), bipolar disorder (BD), schizophrenia (SZ), bulimia (BUL), anorexia nervosa (AN), alcohol use disorder (AUD), drug use disorder (DUD), ADHD, and autism-spectrum disorder (ASD). For all affected individuals, we calculated their mean standardized FGRS for each disorder. The patterns of FGRS were quite similar for MD and AD, and for AUD and DUD, but substantially less similar for BUL and AN, BD and SZ, and ADHD and ASD. While OCD had high levels of FGRS for MD and AD, the overall FGRS profile differed considerably from MD and AD. ADHD FGRS scores were substantially elevated in AUD and DUD. FGRS scores for BD, OCD, AN, ASD, ADHD, and especially SZ were relatively disorder-specific while genetic risk for MD and AD had more generalized effects. The levels of FGRS for BMI, coronary artery disease, and educational attainment across our disorders replicated prior associations found using molecular genetic methods. All diagnostic categories examined had elevated FGRS for many disorders producing, for each condition, an informative FGRS profile. Using a novel method which approximates, from pedigree data, aggregate genetic risk, we have replicated and extended prior insights into the structure of genetic risk factors for key psychiatric illnesses.

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