Publications by authors named "Loic Yengo"

Polygenic genome editing in human embryos and germ cells is predicted to become feasible in the next three decades. Several recent books and academic papers have outlined the ethical concerns raised by germline genome editing and the opportunities that it may present. To date, no attempts have been made to predict the consequences of altering specific variants associated with polygenic diseases.

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Underlying variation in height are regulatory changes to chondrocytes, cartilage cells comprising long-bone growth plates. Currently, we lack knowledge on epigenetic regulation and gene expression of chondrocytes sampled across the human skeleton, and therefore we cannot understand basic regulatory mechanisms controlling height biology. We first rectify this issue by generating extensive epigenetic and transcriptomic maps from chondrocytes sampled from different growth plates across developing human skeletons, discovering novel regulatory networks shaping human bone/joint development.

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Perinatal traits are influenced by fetal and maternal genomes. We investigate the performance of three strategies to detect loci in maternal and fetal genome-wide association studies (GWASs) of the same quantitative trait: (i) the traditional strategy of analysing maternal and fetal GWASs separately; (ii) a two-degree-of-freedom test which combines information from maternal and fetal GWASs; and (iii) a one-degree-of-freedom test where signals from maternal and fetal GWASs are meta-analysed together conditional on estimated sample overlap. We demonstrate that the optimal strategy depends on the extent of sample overlap, correlation between phenotypes, whether loci exhibit fetal and/or maternal effects, and whether these effects are directionally concordant.

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Biobanks aim to improve our understanding of health and disease by collecting and analysing diverse biological and phenotypic information in large samples. So far, biobanks have largely pursued a population-based sampling strategy, where the individual is the unit of sampling, and familial relatedness occurs sporadically and by chance. This strategy has been remarkably efficient and successful, leading to thousands of scientific discoveries across multiple research domains, and plans for the next wave of biobanks are underway.

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Article Synopsis
  • Scientists studied how certain genes affect height and body mass index (BMI) by looking at families with siblings.
  • They found that links between genes and these traits could be seen both in family studies and in studies that look at a lot of DNA variations (called SNPs).
  • They discovered that there are still many genetic factors influencing height and BMI that haven't been identified yet, showing that genetics is really complex and involves many genes working together.
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The causes of temporal fluctuations in adult traits are poorly understood. Here, we investigate the genetic determinants of within-person trait variability of 8 repeatedly measured anthropometric traits in 50,117 individuals from the UK Biobank. We found that within-person (non-directional) variability had a SNP-based heritability of 2-5% for height, sitting height, body mass index (BMI) and weight (P 2.

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  • * The research showed that individuals with high polygenic risk scores have significantly higher blood pressure (almost 17 mmHg more) and over seven times the risk of developing hypertension compared to those with low scores.
  • * Incorporating these genetic risk scores into hypertension prediction models improved their accuracy, and excitingly, similar genetic associations were found in a large African-American sample, underscoring the potential of these findings for precision health initiatives.
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  • The SBayesRC method combines genome-wide association study (GWAS) summary statistics with functional genomic data to enhance the prediction of complex traits using genetics.* -
  • It shows a notable increase in prediction accuracy—14% for European ancestry and up to 34% for cross-ancestry predictions—compared to previous methods, especially SBayesR, which lacks functional annotations.* -
  • The study finds that incorporating SNP density and functional information can further improve predictions, with key contributions from evolutionary constrained regions and nonsynonymous SNPs being the most impactful.*
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To investigate assortative mating (AM), participation bias and socioeconomic status (SES) with respect to the genetics of behavioural and psychiatric traits, we estimated AM signatures using gametic phase disequilibrium and within-spouses and within-siblings polygenic risk score correlation analyses, also performing a SES conditional analysis. The cross-method meta-analysis identified AM genetic signatures for multiple alcohol-related phenotypes, bipolar disorder, major depressive disorder, schizophrenia and Tourette syndrome. Here, after SES conditioning, we observed changes in the AM genetic signatures for maximum habitual alcohol intake, frequency of drinking alcohol and Tourette syndrome.

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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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Vitamin D status-a complex trait influenced by environmental and genetic factors-is tightly associated with skin colour and ancestry. Yet very few studies have investigated the genetic underpinnings of vitamin D levels across diverse ancestries, and the ones that have, relied on small sample sizes, resulting in inconclusive results. Here, we conduct genome-wide association studies (GWAS) of 25 hydroxyvitamin D (25OHD)-the main circulating form of vitamin D-in 442,435 individuals from four broad genetically-determined ancestry groups represented in the UK Biobank: European (N = 421,867), South Asian (N = 9,983), African (N = 8,306) and East Asian (N = 2,279).

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  • Genome-wide association studies have enabled the development of genetic predictors for common human traits, prompting the need to re-evaluate individuals who deviate from these predictions for deeper insights.
  • In a study involving 158,951 individuals from the UK Biobank, researchers identified individuals misaligned with their genetically predicted standing height and LDL cholesterol levels, with only 0.15% and 0.12% classified as misaligned, respectively.
  • The misaligned individuals showed significant health-related patterns, such as being enriched for past growth issues or rare genetic variants linked to health risks, indicating that deviations from genetic predictions can help identify those at higher risk for health problems like coronary artery disease and type-two diabetes.
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Genome-wide association studies (GWASs) have been mostly conducted in populations of European ancestry, which currently limits the transferability of their findings to other populations. Here, we show, through theory, simulations and applications to real data, that adjustment of GWAS analyses for polygenic scores (PGSs) increases the statistical power for discovery across all ancestries. We applied this method to analyze seven traits available in three large biobanks with participants of East Asian ancestry (n = 340,000 in total) and report 139 additional associations across traits.

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  • Perinatal traits, such as birth weight, are influenced by genetic variants from both mothers and their fetuses, and traditional methods analyze these separately, which may miss important information.
  • This study explores three strategies for analyzing maternal and fetal genetic data together: a traditional separate analysis, a new two degree of freedom test that combines the data, and a one degree of freedom test that meta-analyzes the data based on sample overlap.
  • The findings suggest that combining these analyses can significantly increase the number of identified genetic loci associated with birth weight, revealing new biological pathways and improving research methods, which are available in the DINGO software package.
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Human height can be divided into sitting height and leg length, reflecting growth of different parts of the skeleton whose relative proportions are captured by the ratio of sitting to total height (as sitting height ratio, SHR). Height is a highly heritable trait, and its genetic basis has been well-studied. However, the genetic determinants of skeletal proportion are much less well-characterized.

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Alterations in the growth and maturation of chondrocytes can lead to variation in human height, including monogenic disorders of skeletal growth. We aimed to identify genes and pathways relevant to human growth by pairing human height genome-wide association studies (GWASs) with genome-wide knockout (KO) screens of growth-plate chondrocyte proliferation and maturation . We identified 145 genes that alter chondrocyte proliferation and maturation at early and/or late time points in culture, with 90% of genes validating in secondary screening.

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In this study we quantify the accuracy of scoring the quality of research grants using a finite set of distinct categories (1, 2, …., k), when the unobserved grant score is a continuous random variable comprising a true quality score and measurement error, both normally distributed. We vary the number of categories, the number of assessors that score the same grant and a signal-to-noise ratio parameter.

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  • Genetic studies have created predictors for traits like height and LDL cholesterol, highlighting the potential for identifying individuals who deviate from genetic expectations.
  • Among 158,951 UK Biobank individuals, only a small percentage (0.15% for height, 0.12% for LDL cholesterol) were found misaligned with their genetic predictions, showing connections to health issues and developmental anomalies.
  • These findings suggest that individuals deviating from genetic predictions may warrant further health evaluations, as their deviations correlate with higher risks for conditions like coronary artery disease and type-two diabetes.
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The genetic regulation of post-prandial glucose levels is poorly understood. Here, we characterise the genetic architecture of blood glucose variably measured within 0 and 24 h of fasting in 368,000 European ancestry participants of the UK Biobank. We found a near-linear increase in the heritability of non-fasting glucose levels over time, which plateaus to its fasting state value after 5 h post meal (h = 11%; standard error: 1%).

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It has been 15 years since the advent of the genome-wide association study (GWAS) era. Here, we review how this experimental design has realized its promise by facilitating an impressive range of discoveries with remarkable impact on multiple fields, including population genetics, complex trait genetics, epidemiology, social science, and medicine. We predict that the emergence of large-scale biobanks will continue to expand to more diverse populations and capture more of the allele frequency spectrum through whole-genome sequencing, which will further improve our ability to investigate the causes and consequences of human genetic variation for complex traits and diseases.

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Elevated body mass index (BMI) is heritable and associated with many health conditions that impact morbidity and mortality. The study of the genetic association of BMI across a broad range of common disease conditions offers the opportunity to extend current knowledge regarding the breadth and depth of adiposity-related diseases. We identify 906 (364 novel) and 41 (6 novel) genome-wide significant loci for BMI among participants of European (N~1.

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Samples can be prone to ascertainment and attrition biases. The Australian Genetics of Depression Study is a large publicly recruited cohort (n = 20,689) established to increase the understanding of depression and antidepressant treatment response. This study investigates differences between participants who donated a saliva sample or agreed to linkage of their records compared to those who did not.

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  • Common SNPs may account for 40-50% of human height variation, and this study identifies 12,111 SNPs linked to height from a large sample of 5.4 million individuals.
  • These SNPs cluster in 7,209 genomic segments, encompassing about 21% of the genome and showing varying densities enriched in relevant genes.
  • While these SNPs explain a substantial portion of height variance in European populations (40-45%), their predictive power is lower (10-24%) in other ancestries, suggesting a need for more research to enhance understanding in diverse populations.
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Assortative mating (AM) is a pattern characterized by phenotypic similarities between mating partners. Detecting the evidence of AM has been challenging due to the lack of large-scale datasets that include phenotypic data on both partners, especially in populations of non-European ancestries. Gametic phase disequilibrium between trait-associated alleles is a signature of parental AM on a polygenic trait, which can be detected even without partner data.

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