Publications by authors named "Thomas Meitinger"

Aim: The study aimed to assess the effectiveness of three clinical diagnostic criteria (Simon Broome, MEDPED, and guideline-derived) in identifying children with familial hypercholesterolemia (FH) compared to genetic testing. The evaluation involved 1337 children with elevated LDL-C levels, focusing on the sensitivity and specificity of these clinical scores in detecting genetically confirmed FH cases.

Methods: Clinical data were gathered by a self-reporting questionnaire.

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Heterozygous missense mutations in MORC2 have been implicated in various clinical entities, ranging from early-onset neurodevelopmental disorders to late-onset neuropathies. The mechanism underlying the phenotypic heterogeneity and pleiotropic effects of MORC2 has remained elusive. Here, we analyzed blood and fibroblast DNA methylation, transcriptomes, proteomes, and phenotypes of 53 MORC2 patients.

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Dystonia is a rare disease trait for which large-scale genomic investigations are still underrepresented. Genetic heterogeneity among patients with unexplained dystonia warrants interrogation of entire genome sequences, but this has not yet been systematically evaluated. To significantly enhance our understanding of the genetic contribution to dystonia, we (re)analysed 2874 whole-exome sequencing (WES), 564 whole-genome sequencing (WGS), as well as 80 fibroblast-derived proteomics datasets, representing the output of high-throughput analyses in 1990 patients and 973 unaffected relatives from 1877 families.

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  • * A 3-year study, TRANSLATE NAMSE, analyzed data from 1,577 patients, revealing that 32% received molecular diagnoses involving 370 distinct causes, primarily uncommon.
  • * The research showed that combining next-generation sequencing with advanced phenotyping methods improved diagnostic efficiency and helped identify new genotype-phenotype associations, particularly in neurodevelopmental disorders.
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  • Scientists looked at the timing of when girls start their periods (called menarche) and how it can affect their health later in life.
  • They studied about 800,000 women and found over a thousand genetic signals that influence when menstruation starts.
  • Some women have a much higher chance of starting their periods too early or too late based on their genetic makeup, suggesting that genes play a big role in this process!
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Background: Metformin and sodium-glucose-cotransporter-2 inhibitors (SGLT2i) are cornerstone therapies for managing hyperglycemia in diabetes. However, their detailed impacts on metabolic processes, particularly within the citric acid (TCA) cycle and its anaplerotic pathways, remain unclear. This study investigates the tissue-specific metabolic effects of metformin, both as a monotherapy and in combination with SGLT2i, on the TCA cycle and associated anaplerotic reactions in both mice and humans.

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In patients with neurodevelopmental disorders (NDDs), exome sequencing (ES), the diagnostic gold standard, reveals an underlying monogenic condition in only approximately 40% of cases. We report the case of a female patient with profound NDD who died 30 years ago at the age of 3 years and for whom genome sequencing (GS) now identified a single-exon deletion in previously missed by ExomeDepth, the copy number variation (CNV) detection algorithm in ES.Deoxyribonucleic acid (DNA) was extracted from frozen muscle tissue of the index patient and the parents' blood.

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  • * Over 53 months at a German NBS center, 516,803 newborns were screened, identifying two confirmed HT1 cases and one genetically confirmed case of MAAI deficiency from a suspected two, with 42 children showing elevated succinylacetone levels.
  • * The study includes a unique 32-year observation of a case with MAAI deficiency, demonstrating a typically benign clinical course and underscoring
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  • Type 2 diabetes (T2D) is a complex disease influenced by various genetic factors and molecular mechanisms that vary by cell type and ancestry.
  • In a large study involving over 2.5 million individuals, researchers identified 1,289 significant genetic associations linked to T2D, including 145 new loci not previously reported.
  • The study categorized T2D signals into eight distinct clusters based on their connections to cardiometabolic traits and showed that these genetic profiles are linked to vascular complications, emphasizing the role of obesity-related processes across different ancestry groups.
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  • A genome-wide association study was conducted on thyroid function, analyzing data from up to 271,040 European individuals, focusing on hormones like TSH, FT4, and T3.
  • The study identified 259 significant genetic associations for TSH (61% were novel), and notable findings for FT4 and T3, indicating that specific genes influence thyroid hormone levels and metabolism.
  • The research findings enhance the understanding of thyroid hormone roles and suggest that variations in thyroid function may impact various health conditions including cardiovascular issues, autoimmune diseases, and cancer.
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Congenital anomalies of the kidney and urinary tract (CAKUT) are the predominant cause for chronic kidney disease below age 30 years. Many monogenic forms have been discovered due to comprehensive genetic testing like exome sequencing. However, disease-causing variants in known disease-associated genes only explain a proportion of cases.

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  • Educational attainment is linked to cardiovascular health, and a large genomic study examined how it interacts with cholesterol and triglyceride levels in nearly 226,315 individuals across five population groups.
  • The study identified 18 new genetic variations related to lipid levels—nine for low-density lipoprotein (LDL), seven for high-density lipoprotein (HDL), and two for triglycerides (TG)—some of which interact with educational attainment.
  • Researchers also found five gene targets that potentially interact with FDA-approved drugs, suggesting a connection between genetics and drug responses related to lipid metabolism and overall health.
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  • - Pediatric acute liver failure (PALF) is a serious condition with up to 50% of cases remaining unexplained, hindering effective treatment options like liver transplantation.
  • - In a study involving 260 children from 19 countries, whole-exome sequencing (WES) identified genetic causes in 37% of indeterminate PALF cases, with a particularly high diagnostic rate in infants and those with recurrent liver failure.
  • - The research uncovered 36 distinct genes associated with PALF, highlighting mitochondrial diseases as the most common cause and underscoring the need for advanced genetic testing in diagnosing and treating this condition.
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Purpose: RNF213, encoding a giant E3 ubiquitin ligase, has been recognized for its role as a key susceptibility gene for moyamoya disease. Case reports have also implicated specific variants in RNF213 with an early-onset form of moyamoya disease with full penetrance. We aimed to expand the phenotypic spectrum of monogenic RNF213-related disease and to evaluate genotype-phenotype correlations.

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  • This study examines the relationship between resting heart rate and cardiovascular diseases, identifying 493 genetic variants linked to this trait through a large-scale analysis of 835,465 individuals.
  • It highlights the significance of higher genetically predicted resting heart rates, which are associated with an increased risk of dilated cardiomyopathy but lower risk for conditions like atrial fibrillation and ischemic strokes.
  • The study also challenges previous findings on resting heart rate and all-cause mortality, suggesting earlier results may have been influenced by biases, ultimately enhancing our understanding of the biological implications of resting heart rate in cardiovascular health.
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Pubertal timing varies considerably and has been associated with a range of health outcomes in later life. To elucidate the underlying biological mechanisms, we performed multi-ancestry genetic analyses in ~800,000 women, identifying 1,080 independent signals associated with age at menarche. Collectively these loci explained 11% of the trait variance in an independent sample, with women at the top and bottom 1% of polygenic risk exhibiting a ~11 and ~14-fold higher risk of delayed and precocious pubertal development, respectively.

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Metabolome reflects the interplay of genome and exposome at molecular level and thus can provide deep insights into the pathogenesis of a complex disease like major depression. To identify metabolites associated with depression we performed a metabolome-wide association analysis in 13,596 participants from five European population-based cohorts characterized for depression, and circulating metabolites using ultra high-performance liquid chromatography/tandem accurate mass spectrometry (UHPLC/MS/MS) based Metabolon platform. We tested 806 metabolites covering a wide range of biochemical processes including those involved in lipid, amino-acid, energy, carbohydrate, xenobiotic and vitamin metabolism for their association with depression.

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Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases.

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Background: Congenital anomalies of the kidney and urinary tract (CAKUT) are the predominant cause for chronic kidney disease below 30 years of age. Many monogenic forms have been discovered mainly due to comprehensive genetic testing like exome sequencing (ES). However, disease-causing variants in known disease-associated genes still only explain a proportion of cases.

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Individuals with congenital anomalies of the kidney and urinary tract (CAKUT) show a broad spectrum of malformations. CAKUT can occur in an isolated fashion or as part of a syndromic disorder and can lead to end-stage kidney failure. A monogenic cause can be identified in ~12% of affected individuals.

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  • Researchers analyzed genetic data from over 785,000 individuals of European descent to find 43 specific genomic regions related to reproductive success, measured by the number of children and instances of childlessness.
  • These genetic regions influence various factors tied to reproduction, such as puberty onset, age at first birth, and conditions like endometriosis, highlighting complex biological networks at play.
  • The study also uncovered a potential trade-off between higher reproductive output and shortened reproductive lifespan in certain genes, suggesting some genetic traits are linked to ongoing natural selection affecting fertility.
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  • Ewing sarcoma (EwS) is a rare type of cancer that affects bones and soft tissues, caused by changes in chromosomes that lead to special proteins altering gene activity.
  • Scientists believe that variations in a specific part of the genome (6p25.1) might influence how this cancer develops by affecting gene expression.
  • They found that people with EwS often have longer DNA sequences at this spot, which enhance the cancer-fighting protein RREB1, leading to increased cell growth and division linked to the disease.
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The discovery of genetic loci associated with complex diseases has outpaced the elucidation of mechanisms of disease pathogenesis. Here we conducted a genome-wide association study (GWAS) for coronary artery disease (CAD) comprising 181,522 cases among 1,165,690 participants of predominantly European ancestry. We detected 241 associations, including 30 new loci.

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