Publications by authors named "Timothy Spector"

Facial appearance, one of the most recognizable and heritable human traits, exhibits substantial variation across individuals within and between populations due to its complex genetic underpinning, which remains largely elusive. Here, we report a combined genome-wide association study (C-GWAS) of 946 facial features derived from 44 landmarks obtained from 3D digital facial images of 11,662 individuals of European descent. We identify 253 unlinked single nucleotide polymorphisms (SNPs) across 188 distinct genetic loci significantly associated with facial variation, including 64 SNPs at 62 novel loci and 33 novel SNPs within 29 previously reported face loci that are in very low LD with the previously reported top SNPs.

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Introduction: Genetic factors contribute to weight gain, but how these effects change over adulthood is still unknown. We studied the impact of genetics on BMI change from young adulthood to old age and its relationship with BMI in early young adulthood.

Data And Methods: Data from 16 longitudinal twin cohorts, including 111,370 adults (56% women) and 55,657 complete twin pairs (42% monozygotic), were pooled.

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  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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  • Researchers conducted a study to identify genetic factors influencing the likelihood of women giving birth to spontaneous dizygotic (DZ) twins, uncovering four new loci: GNRH1, FSHR, ZFPM1, and IPO8, alongside previously known loci FSHB and SMAD3.
  • * The study involved a large genome-wide association meta-analysis (GWAMA) of over 700,000 participants, focusing on mothers of spontaneous DZ twins and their offspring, excluding cases from assisted reproductive technologies (ARTs).
  • * Findings indicate that the newly identified loci play roles in female reproduction, and significant correlations were found with various reproductive traits and body size, suggesting evolutionary pressures against DZ twinning in humans.
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Human ear morphology, a complex anatomical structure represented by a multidimensional set of correlated and heritable phenotypes, has a poorly understood genetic architecture. In this study, we quantitatively assessed 136 ear morphology traits using deep learning analysis of digital face images in 14,921 individuals from five different cohorts in Europe, Asia, and Latin America. Through GWAS meta-analysis and C-GWASs, a recently introduced method to effectively combine GWASs of many traits, we identified 16 genetic loci involved in various ear phenotypes, eight of which have not been previously associated with human ear features.

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Skull bone mineral density (SK-BMD) provides a suitable trait for the discovery of key genes in bone biology, particularly to intramembranous ossification, not captured at other skeletal sites. We perform a genome-wide association meta-analysis (n ~ 43,800) of SK-BMD, identifying 59 loci, collectively explaining 12.5% of the trait variance.

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  • New genetic prediction models for male pattern baldness (MPB) were developed using a large set of markers from a study of over 187,000 European males, improving upon past models that faced limitations.
  • These models incorporate 117 SNP predictors from a pool of previously identified MPB-related SNPs, resulting in strong prediction accuracies measured by AUC values across varying degrees of hair loss.
  • The models demonstrated enhanced reliability with external validation, showing particularly strong prediction for early-onset MPB, making them the most accurate available for predicting MPB and similar traits.
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  • * Research was conducted on 1225 individuals from Europe, Asia, and Africa to investigate whether the gut microbes have evolved alongside humans (codiversification).
  • * Strong codiversification was observed, with certain microbial species showing traits of host dependency, underscoring the need to understand how unique strains may impact disease in different populations.
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Background: Dietary habits have a profound influence on the metabolic activity of gut microorganisms and their influence on health. Concerns have been raised as to whether the consumption of foodstuffs contaminated with pesticides can contribute to the development of chronic disease by affecting the gut microbiome. We performed the first pesticide biomonitoring survey of the British population, and subsequently used the results to perform the first pesticide association study on gut microbiome composition and function from the TwinsUK registry.

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COVID-19 is clinically characterised by fever, cough, and dyspnoea. Symptoms affecting other organ systems have been reported. However, it is the clinical associations of different patterns of symptoms which influence diagnostic and therapeutic decision-making.

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Aims/hypothesis: Sleep, diet and exercise are fundamental to metabolic homeostasis. In this secondary analysis of a repeated measures, nutritional intervention study, we tested whether an individual's sleep quality, duration and timing impact glycaemic response to a breakfast meal the following morning.

Methods: Healthy adults' data (N = 953 [41% twins]) were analysed from the PREDICT dietary intervention trial.

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  • * The study analyzed data from over 150,000 women to assess how menopausal status and the use of the combined oral contraceptive pill (COCP) and hormone replacement therapy (HRT) related to COVID-19 positivity and severity.
  • * Results indicated that menopausal women had higher COVID-19 rates, while COCP users experienced lower rates; however, HRT use was linked to increased rates, warranting cautious interpretation due to various confounding factors.
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  • The study examines how genetic factors influence DNA methylation (DNAm), which is crucial for understanding gene regulation and diseases, using data from 32,851 participants.
  • Researchers identified genetic variants linked to DNAm at over 420,000 sites and created a database of more than 270,000 independent mQTLs, highlighting the complexity and polygenic nature of DNAm levels.
  • The findings suggest that while some shared genetic variants are linked to both DNAm and complex diseases, only a few cases indicate a direct causal relationship, revealing a complicated connection between genetics and phenotypes.
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Objective: Poor metabolic health and unhealthy lifestyle factors have been associated with risk and severity of COVID-19, but data for diet are lacking. We aimed to investigate the association of diet quality with risk and severity of COVID-19 and its interaction with socioeconomic deprivation.

Design: We used data from 592 571 participants of the smartphone-based COVID-19 Symptom Study.

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  • - The study investigates the genetic variants linked to severe monogenic diseases, focusing on the unknown probability (penetrance) of these variants causing disease.
  • - Using exome sequencing data from over 77,000 individuals, researchers examine eight monogenic metabolic diseases, finding that rare variants have a greater impact than common polygenic scores.
  • - Despite the strong effect of rare variants, the average penetrance for monogenic variant carriers is only about 60%, although incorporating polygenic variation helps improve risk prediction for certain conditions.
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Background And Aims: Gut transit time is a key modulator of host-microbiome interactions, yet this is often overlooked, partly because reliable methods are typically expensive or burdensome. The aim of this single-arm, single-blinded intervention study is to assess (1) the relationship between gut transit time and the human gut microbiome, and (2) the utility of the 'blue dye' method as an inexpensive and scalable technique to measure transit time.

Methods: We assessed interactions between the taxonomic and functional potential profiles of the gut microbiome (profiled via shotgun metagenomic sequencing), gut transit time (measured via the blue dye method), cardiometabolic health and diet in 863 healthy individuals from the PREDICT 1 study.

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Human eye color is highly heritable, but its genetic architecture is not yet fully understood. We report the results of the largest genome-wide association study for eye color to date, involving up to 192,986 European participants from 10 populations. We identify 124 independent associations arising from 61 discrete genomic regions, including 50 previously unidentified.

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To characterize the genetic basis of facial features in Latin Americans, we performed a genome-wide association study (GWAS) of more than 6000 individuals using 59 landmark-based measurements from two-dimensional profile photographs and ~9,000,000 genotyped or imputed single-nucleotide polymorphisms. We detected significant association of 32 traits with at least 1 (and up to 6) of 32 different genomic regions, more than doubling the number of robustly associated face morphology loci reported until now (from 11 to 23). These GWAS hits are strongly enriched in regulatory sequences active specifically during craniofacial development.

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Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.

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One of the strongest associations between human genetics and the gut microbiome is a greater relative abundance of in adults with lactase gene () single nucleotide polymorphisms (SNPs) associated with lactase nonpersistence (GG genotypes), versus lactase persistence (AA/AG genotypes). To gain a finer-grained phylogenetic resolution of this association, we interrogated 1,680 16S rRNA libraries and 245 metagenomes from gut microbiomes of adults with various lactase persistence genotypes. We further employed a novel genome-capture-based enrichment of DNA from a subset of these metagenomes, including monozygotic (MZ) twin pairs, each sampled 2 or 3 times.

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Background: The aetiology of irritable bowel syndrome (IBS) is multifactorial, including genetic and environmental factors. Previous studies have suggested that low birth weight and family environment during childhood are associated with developing IBS.

Methods: A survey was sent to all individuals in a UK twin registry.

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