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Rare and common variants: twenty arguments
Open accessAbstract
Genome-wide association studies have greatly improved our understanding of the genetic basis of disease risk. The fact that they tend not to identify more than a fraction of the specific causal loci has led to divergence of opinion over whether most of the variance is hidden as numerous rare variants of large effect or as common variants of very small effect. Here I review 20 arguments for and against each of these models of the genetic basis of complex traits and conclude that both classes of effect can be readily reconciled.
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In the paper
“Very few of the thousands of GWAS significant associations have been shown using molecular genetics, biochemistry or biophysics to be the actual risk variant38, 109.”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > Very few common variants for disease have been functionally validated
What the sources say
- Not checked yetcites [38] Chorley, B. N. et al. Discovery and verification of functional single nucleotide polymorphisms in regulatory genomic regions: current and developing technologies. Mutat. Res. 659, 147–157 (2008). source
- Not checked yetcites [109] Bauer, R. C., Stylianou, I. M., Rader, D. J. Functional validation of new pathways in lipoprotein metabolism identified by human genetics. Curr. Opin. Lipidol. 22, 123–128 (2011). source
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“It must be noted that there is very little evidence from GWAS for either GxE or GxG interactions108, but such effects could be mild at the level of individual associations and be below the power of detection.”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > Demographic phenomena suggest more than a simple common variant model
What the sources say
- Not checked yetcites [108] Hamza, T. H. et al. Genome-wide gene-environment study identifies glutamate receptor gene GRIN2A as a Parkinson's disease modifier gene via interaction with coffee. PLoS Genet. 7, e1002237 (2011). source
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In the paper
“and it is not clear that they are as efficient for schizophrenia, arthritis or intelligence75,76.”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > What accounts for the missing heritability?
What the sources say
- Not checked yetcites [75] Yang, J. et al. Genome partitioning of genetic variation for complex traits using common SNPs. Nature Genet. 43, 519–525 (2011). source
- Not checked yetcites [76] Davies, G. et al. Genome-wide association studies establish that human intelligence is highly heritable and polygenic. Mol. Psychiatry 16, 996–1005 (2011). source
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“whereas a significant excess of rare coding variants was found in 4 genes for hypertriglyceridemia116.”
§ Rare and Common Variants: Twenty arguments > Conclusion
What the sources say
- Not checked yetcites [116] Johansen, C. T. et al. Excess of rare variants in genes identified by genome-wide association study of hypertriglyceridemia. Nature Genet. 42, 684–687 (2010). source
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In the paper
“only 1 of 63 genes in an initial screen for inflammatory bowel disease found evidence for rare variant effects (and these were protective114, but see also115)”
§ Rare and Common Variants: Twenty arguments > Conclusion
What the sources say
- Not checked yetcites [113] Nejentsev, S., Walker, N., Riches, D., Egholm, M. & Todd, J. A. Rare variants of IFIH1, a gene implicated in antiviral responses, protect against type 1 diabetes. Science 324, 387–389 (2009). source
- Not checked yetcites [114] Momozawa, Y. et al. Resequencing of positional candidates identifies low frequency IL23R coding variants protecting against inflammatory bowel disease. Nature Genet. 43, 43–47 (2011). source
- Not checked yetcites [115] Rivas, M. A. et al. Deep resequencing of GWAS loci identifies independent rare variants associated with inflammatory bowel disease. Nature Genet. 43, 1066–1073 (2011). source
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In the paper
“As more individuals are sequenced, many of these appear in healthy controls”
§ Rare and Common Variants: Twenty arguments > Conclusion
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In the paper
“When GWAS began the field was dominated by the simple common disease-common variant (CD-CV) hypothesis1–4 has been refuted in light of the so-called ‘missing heritability problem’”
§ Rare and Common Variants: Twenty arguments > Abstract
What the sources say
- Not checked yetcites [1] Lander, E. S. The new genomics: global views of biology. Science 274, 536–539 (1996). source
- Not checked yetcites [2] Reich, D. E. & Lander, E. S. On the allelic spectrum of human disease. Trends Genet. 17, 502–510 (2001). source
- Not checked yetcites [3] Pritchard, J. K. & Cox, N. J. The allelic architecture of human disease genes: common disease–common variant... or not? Hum. Mol. Genet. 11, 2417–2423 (2002). source
- Not checked yetcites [4] Botstein, D. & Risch, N. Discovering genotypes underlying human phenotypes: past successes for Mendelian disease, future approaches for complex disease. Nature Genet. 33, 228–237 (2003). source
- Not checked yetcites [5] Maher, B. Personal genomes: the case of the missing heritability. Nature 456, 18–21 (2008). source
- Not checked yetcites [6] Manolio, T. A. et al. Finding the missing heritability of complex diseases. Nature 461, 747–753 (2009). This paper provides a compendium of arguments, which were assembled by participants in a US National Institutes of Health (NIH) workshop, relating to the possible sources of missing heritability. source
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In the paper
“affected individuals will tend to carry a slight excess of risk variants, since the overall distribution of the number of risk alleles per affected individual is skewed relative to unaffecteds.”
§ Rare and Common Variants: Twenty arguments > The Models > Infinitesimal model: many variants of small effect
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In the paper
“If hundreds of mutations each at a frequency of less than 1% all affect a particular disease, then many more people will be doubly or triply heterozygous for various combinations, than are homozygous for any one variant.”
§ Rare and Common Variants: Twenty arguments > The Models > Broad-sense heritability model: non-additive GxG and GxE interactions, and epigenetic effects
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In the paper
“as shown in Figure 2b, the vast majority of unaffected individuals are expected to carry one or more risk alleles.”
§ Rare and Common Variants: Twenty arguments > The Models > Rare allele model: many rare alleles of large effect
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In the paper
“As of June 2011, the NHGRI GWAS catalog lists 1,449 genome-wide significant associations with 237 traits and diseases, spread across all chromosome except the Y99.”
§ Rare and Common Variants: Twenty arguments > Conclusion
What the sources say
- Not checked yetcites [99] Manolio, T. A., Brooks, L. D. & Collins, F. S. A HapMap harvest of insights into the genetics of common disease. J. Clin. Invest. 118, 1590–1605 (2008). source
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In the paper
“In all likelihood, each of the three genetic architectures contributes, possibly to different degrees, to different diseases or traits.”
§ Rare and Common Variants: Twenty arguments > Abstract
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In the paper
“There are two major obstacles to detecting epistasis: very large samples are required to find sufficient individuals of each genotype combination to accurately measure small effects, and the number of comparisons scales exponentially with the number of interactions so the testing burden is enormous.”
§ Rare and Common Variants: Twenty arguments > The Models > Broad-sense heritability model: non-additive GxG and GxE interactions, and epigenetic effects
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In the paper
“The argument has been made that relaxed selection in modern humans may favor the accumulation of deleterious rare alleles, greatly increasing the prevalence of disease hundreds of generations into the future30.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the rare allele model > Evolutionary theory predicts that disease alleles should be rare
What the sources say
- Not checked yetcites [30] Lynch, M. Rate, molecular spectrum, and consequences of human mutation. Proc. Natl Acad. Sci. USA 107, 961–968 (2010). source
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In the paper
“One of the difficulties may be that the environment is difficult to define and measure, and it may be unique individual exposures that are more important than exposures shared by thousands of people.”
§ Rare and Common Variants: Twenty arguments > The Models > Broad-sense heritability model: non-additive GxG and GxE interactions, and epigenetic effects
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In the paper
“Similarly, there is as yet little evidence for environmental modification of genotype effects: a recent example relating to the protective effect of coffee consumption and Parkinson’s disease risk provides an exception108.”
§ Rare and Common Variants: Twenty arguments > The Models > Broad-sense heritability model: non-additive GxG and GxE interactions, and epigenetic effects
What the sources say
- Not checked yetcites [108] Hamza, T. H. et al. Genome-wide gene-environment study identifies glutamate receptor gene GRIN2A as a Parkinson's disease modifier gene via interaction with coffee. PLoS Genet. 7, e1002237 (2011). source
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In the paper
“Genome-wide association studies (GWAS) are not generally powered to detect epistasis or G×E121, and they are not designed to detect epigenetic influences122”
§ Rare and Common Variants: Twenty arguments > The Models > Broad-sense heritability model: non-additive GxG and GxE interactions, and epigenetic effects
What the sources say
- Not checked yetcites [121] Bhattacharjee, S. et al. Using principal components of genetic variation for robust and powerful detection of gene-gene interactions in case–control and case-only studies. Am. J. Hum. Genet. 86, 331–342 (2010). source
- Not checked yetcites [122] Slatkin, M. Epigenetic inheritance and the missing heritability problem. Genetics 182, 845–850 (2009). source
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In the paper
“The notion is that a disease such as schizophrenia is actually a collection of hundreds, or possibly even thousands, of similar conditions attributable to rare variants at individual loci18.”
§ Rare and Common Variants: Twenty arguments > The Models > Rare allele model: many rare alleles of large effect
What the sources say
- Not checked yetcites [18] McClellan, J. M., Susser, E. & King, M.-C. Schizophrenia: a common disease caused by multiple rare alleles. Br. J. Psychiatry 190, 194–199 (2007). source
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In the paper
“Synthetic genetic interaction screens in yeast123,124 have demonstrated that thousands of combinations of individually viable mutations can jointly be lethal, and similar examples have been documented in Drosophila melanogaster and Caenorhabditis elegans125,126.”
§ Rare and Common Variants: Twenty arguments > The Models > Broad-sense heritability model: non-additive GxG and GxE interactions, and epigenetic effects
What the sources say
- Not checked yetcites [123] Tong, A. H. et al. Systematic genetic analysis with ordered arrays of yeast deletion mutants. Science 294, 2364–2368 (2001). source
- Not checked yetcites [124] Costanzo, M. et al. The genetic landscape of a cell. Science 327, 425–431 (2010). source
- Not checked yetcites [125] Lucchesi, J. C. Synthetic lethality and semi-lethality among functionally related mutants of Drosophila melanogaster. Genetics 59, 37–44 (1968). source
- Not checked yetcites [126] Lehner, B. et al. Systematic mapping of genetic interactions in Caenorhabditis elegans identifies common modifiers of diverse signaling program. Nature Genet. 38, 896–903 (2006). source
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In the paper
“Since disease is deleterious to fitness, variants that promote disease should be selected against, and hence disease-promoting variants should not be common3,26,27.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the rare allele model > Evolutionary theory predicts that disease alleles should be rare
What the sources say
- Not checked yetcites [3] Pritchard, J. K. & Cox, N. J. The allelic architecture of human disease genes: common disease–common variant... or not? Hum. Mol. Genet. 11, 2417–2423 (2002). source
- Not checked yetcites [26] Bulmer, M. G. The effect of selection on genetic variability. Am. Nat. 105, 201–211 (1971). source
- Not checked yetcites [27] Barton, N. H. & Turelli, M. Evolutionary quantitative genetics: how little do we know? Annu. Rev. Genet. 23, 337–370 (1989). source
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In the paper
“It has been appreciated for some time that the distribution of minor allele frequencies (MAFs) is strongly skewed towards an excess of rare variants: over a third of all polymorphisms have frequencies below 5%31.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the rare allele model > Empirical population genetic data shows that deleterious variants are rare
What the sources say
- Not checked yetcites [31] Hartl, D. L. & Clark, A. G. Principles of Population Genetics 3rd edn (Sinauer Associates, Sunderland, USA, 1998).
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In the paper
“Here it simply signifies the idea that the heritability is not so much missing, as hidden beneath the significance thresholds used to define risk alleles with high confidence15.”
§ Rare and Common Variants: Twenty arguments > The Models > Infinitesimal model: many variants of small effect
What the sources say
- Not checked yetcites [15] Gibson, G. Hints of hidden heritability in GWAS. Nature Genet. 42, 558–560 (2010). source
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In the paper
“Ultimately, every gene contributes to every trait, but with effect sizes so small that it would take samples greater than the population size of the species to detect them.”
§ Rare and Common Variants: Twenty arguments > The Models > Infinitesimal model: many variants of small effect
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In the paper
“since GWAS only measure the average effects of alleles across thousands of individuals, they are incapable of capturing heterogeneity of effect sizes at the family level that would be the hallmark of these broader components of the genetic architecture.”
§ Rare and Common Variants: Twenty arguments > The Models > Broad-sense heritability model: non-additive GxG and GxE interactions, and epigenetic effects
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In the paper
“Mutation rates are sufficiently large that purifying selection cannot remove all deleterious variants, and those that have a modest effect on fitness (for example, if they influence late-onset diseases 29) may rise to allele frequencies of 1% or occasionally more, particularly if the effect is recessive.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the rare allele model > Evolutionary theory predicts that disease alleles should be rare
What the sources say
- Not checked yetcites [29] Charlesworth, B. Fisher, Medawar, Hamilton and the evolution of aging. Genetics 156, 927–931 (2000). source
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In the paper
“Additionally, epistatic effects are generally thought to be likely to be small relative to main effects, and the GWAS literature provides few examples of departure from additivity.”
§ Rare and Common Variants: Twenty arguments > The Models > Broad-sense heritability model: non-additive GxG and GxE interactions, and epigenetic effects
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In the paper
“For a disease with a high heritability of 80%, theory indicates that the number of contributing loci can range from over 500 with GRR of just 2 and one very rare variant per locus, to just a dozen loci with GRR of 5 and allele frequencies of 1% or if the disease is relatively common19.”
§ Rare and Common Variants: Twenty arguments > The Models > Rare allele model: many rare alleles of large effect
What the sources say
- Not checked yetcites [19] Wray, N. R., Purcell, S. M. & Visscher, P. M. Synthetic associations created by rare variants do not explain most GWAS results. PLoS Biol. 9, e1000579 (2011). source
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In the paper
“It need not follow that the reduction in fitness is due to promotion of chronic disease, and the observation does not equate to saying that all rare non-synonymous variants are deleterious.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the rare allele model > Empirical population genetic data shows that deleterious variants are rare
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In the paper
“GWAS are neither powered nor designed to detect variation under any of these models on a consistent basis, so there is as yet insufficient empirical data to resolve the debate.”
§ Rare and Common Variants: Twenty arguments > Abstract
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In the paper
“as shown by the massive meta-analyses of GWAS for height and body mass index (BMI)13,14, each involving several hundred thousand people, it is unlikely that more than a few hundred loci will ever be confirmed for most diseases, and these will not necessarily explain even half of the genetic variance.”
§ Rare and Common Variants: Twenty arguments > The Models > Infinitesimal model: many variants of small effect
What the sources say
- Not checked yetcites [13] Speliotes, E. K. et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nature Genet. 42, 937–948 (2010). The largest GWAS meta-analysis to date shows that hundreds of complex variants influence continuous traits. source
- Not checked yetcites [14] Lango-Allen, H. et al. Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832–838 (2010). source
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In the paper
“It is thus incontrovertible that rare variants contribute to disease risk, and that identification of such alleles is a powerful mode of genetic analysis.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the rare allele model > Rare copy number variants contribute to several complex psychological disorders
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In the paper
“Nevertheless, the rare allele model must not only explain association data in populations, but also fit demographic distributions of disease within and among families, and there is little theory supporting the claim that they can do both55–57.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Sibling recurrence rates are greater than expected by the postulated effect sizes of rare variants
What the sources say
- Not checked yetcites [55] Risch, N. Linkage strategies for genetically complex traits: I. Multilocus models. Am. J. Hum. Genet. 46, 222–228 (1990).
- Not checked yetcites [56] Slatkin, M. Genotype-specific risks as indicators of the genetic architecture of complex diseases. Am. J. Hum. Genet. 83, 120–126 (2008). source
- Not checked yetcites [57] Hemminki, K. & Bermejo, J. L. The 'common disease–common variant' hypothesis and familial risks. PLoS ONE 3, e2504 (2011). source
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In the paper
“the consistent observation is that all diseases have significant heritability, and hence purifying selection has been unable to purge the population of disease-promoting variants2.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > The infinitesimal model is standard quantitative genetic theory
What the sources say
- Not checked yetcites [2] Reich, D. E. & Lander, E. S. On the allelic spectrum of human disease. Trends Genet. 17, 502–510 (2001). source
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In the paper
“Paternal age effects on psychological disease63 might be attributed to elevated mutation rates in sperm, but other hypotheses are equally compatible with the data, and maternal age effects operate in the opposite direction as younger mothers have higher likelihoods of having affected children64.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Epidemiological transitions cannot be attributed to rare variants
What the sources say
- Not checked yetcites [63] Malaspina, D. et al. Advancing paternal age and the risk of schizophrenia. Arch. Gen. Psychiatry 58, 361–367 (2001). source
- Not checked yetcites [64] Lopez-Castroman, J. et al. Differences in maternal and paternal age between schizophrenia and other psychiatric disorders. Schizophr. Res. 116, 184–190 (2010). source
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In the paper
“If rare variants are recently derived relative to the common variants, then they should be at different frequencies in Caucasians and Asians, and we would expect that they would only induce synthetic common variant associations in one of these populations, or at least would not tend to have the same magnitude of effect.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > GWAS associations are consistent across populations
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In the paper
“diabetes and heart disease have greatly increased in incidence in India and China in the past 10 years60,61, an epidemiological transition that at best implies a change in penetrance of genetic effects attributable to any class of variant, rare or common, in the contemporary environment.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Epidemiological transitions cannot be attributed to rare variants
What the sources say
- Not checked yetcites [60] Amutha, A. et al. Clinical profile of diabetes in the young seen between 1992 and 2009 at a specialist diabetes centre in south India. Prim. Care Diabetes 5, 223–229 (2011). source
- Not checked yetcites [61] Chan, J. C. et al. Diabetes in Asia: epidemiology, risk factors, and pathophysiology. JAMA 301, 2129–2140 (2009). source
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In the paper
“At face value, the existence of dozens of susceptibility alleles for metabolic and immunological diseases with effect sizes that are just not detected for psychological diseases implies a difference in genetic architecture between the two categories of conditions.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > The infinitesimal model is standard quantitative genetic theory
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In the paper
“Compound heterozygosity for two different rare variants at one locus is well documented in diseases such as cystic fibrosis, hemochromatosis and sickle cell syndromes”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Rare variants do not obviously have additive effects
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In the paper
“well-known examples include rare variants promoting atherosclerosis through hypercholesterolemia39, the lesions responsible for Maturity Onset Diabetes of the Young (MODY)40, and the BRCA1 and BRCA2 breast cancer susceptibility mutations41.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the rare allele model > Many rare familial disorders are due to rare alleles of large effect
What the sources say
- Not checked yetcites [39] Goldstein, J. L. & Brown, M. S. The LDL receptor locus and the genetics of familial hypercholesterolemia. Annu. Rev. Genet. 13, 259–289 (1979). source
- Not checked yetcites [40] Weedon, M. N. & Frayling, T. M. Insights on pathogenesis of type 2 diabetes from MODY genetics. Curr. Diab. Rep. 7, 131–138 (2007). source
- Not checked yetcites [41] Easton, D. F. et al. A systematic genetic assessment of 1,433 sequence variants of unknown clinical significance in the BRCA1 and BRCA2 breast cancer-predisposition genes. Am. J. Hum. Genet. 81, 873–883 (2007). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“On the face of it, the widely documented additivity of genetic associations is inconsistent either with the dominance of rare variant effects, or the assumption that they interact multiplicatively within individuals to influence disease.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Rare variants do not obviously have additive effects
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“extension of the concept to include intergenic multiple heterozygosity could represent a large source of genetic variance that is almost impossible to detect with current methods.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Rare variants do not obviously have additive effects
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Nevertheless, the simplest interpretation of the consistency of common variant effects is that they are actually due to the common variants themselves or to unobserved common variants in high LD across all populations.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > GWAS associations are consistent across populations
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These effects are less highly penetrant than Mendelian mutations, implying modification by the genetic background.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the rare allele model > Rare copy number variants contribute to several complex psychological disorders
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Since the majority of the genetic variance remains unexplained, it is a priori just as likely to exist in the form of rare or common alleles, and the fact is that there is nothing about GWAS findings that is inconsistent with the infinitesimal model of many variants of very small effect across the full allele frequency spectrum.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > The infinitesimal model is standard quantitative genetic theory
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear? Based: unclearIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Under a mutation-selection balance model, it may be possible for different novel rare variants to have effects in each population, and fine mapping studies sometimes reveal subtle differences in the patterns of association [eg.67,68.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > GWAS associations are consistent across populations
What the sources say
- Not checked yetcites [67] Sim, X. et al. Transferability of type 2 diabetes implicated loci in multi-ethnic cohorts from Southeast Asia. PLoS Genet. 7, e1001363 (2011). source
- Not checked yetcites [68] Waters, K. M. et al. Generalizability of associations from prostate cancer genome-wide association studies in multiple populations. Cancer Epidemiol. Biomarkers Rev. 18, 1285–1289 (2009). source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“This may imply different intensities of purifying selection, although other models, including decanalization69, are also compatible with the data.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > The infinitesimal model is standard quantitative genetic theory
What the sources say
- Not checked yetcites [69] Gibson, G. Decanalization and the origins of complex disease. Nature Rev. Genet. 10, 134–140 (2009). source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“In the case of the ciliopathies, there is evidence from functional assays that rare variants can both promote and modify the severity of disease49.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the rare allele model > Rare copy number variants contribute to several complex psychological disorders
What the sources say
- Not checked yetcites [49] Davis, E. E. et al. TTC21B contributes both causal and modifying alleles across the ciliopathy spectrum. Nature Genet. 43, 189–196 (2011). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Schizophrenia, a disease with very high heritability (inferred from twin studies) and for which very few replicated GWAS hits have been identified despite extensive scans, nevertheless shows such demographic influences as whether the parents live in rural or urban areas (disease rates are elevated in children born after migration to cities)62.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Epidemiological transitions cannot be attributed to rare variants
What the sources say
- Not checked yetcites [62] Saha, S., Chant, D., Welham, J. & McGrath, J. A systematic review of the prevalence of schizophrenia. PLoS Med. 2, e141 (2005). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Under multiplicative models, disease may cluster in families due to segregation of multiple rare variants that happen to be brought together in the pedigree.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Sibling recurrence rates are greater than expected by the postulated effect sizes of rare variants
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“analyses of the distribution of risk allele frequencies across 8 traits argues that if anything minor allele frequencies are skewed to be greater than 0.2, providing strong empirical evidence that rare alleles are not alone responsible53.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Analysis of GWAS data is not consistent with rare variant explanations
What the sources say
- Not checked yetcites [53] Park, J.-H. et al. Distribution of allele frequencies and effect sizes and their inter-relationships for common genetic susceptibility variants. Proc. Natl Acad. Sci. USA 108, 18026–18031 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“No-one doubts that some fraction of the total risk for any complex disease is due to rare alleles, but these studies argue that it is not the majority.”
§ Rare and Common Variants: Twenty arguments > Arguments against the rare allele model > Analysis of GWAS data is not consistent with rare variant explanations
What the sources say
- Not checked yetcites [53] Park, J.-H. et al. Distribution of allele frequencies and effect sizes and their inter-relationships for common genetic susceptibility variants. Proc. Natl Acad. Sci. USA 108, 18026–18031 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Rare variants, particularly those at a frequency of less than 1%, need to be sequenced directly.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > Common variants collectively capture the majority of the genetic variance in GWAS
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Although association tests are reasonably powered to detect common variants that have a genotypic relative risk of 1.2 or more in meta-analyses that include tens of thousands of individuals, detecting the effects of single rare variant remains problematic.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > Common variants collectively capture the majority of the genetic variance in GWAS
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is of course possible that disease represents a discrete phase shift (in gene expression profiles, for example) that takes the organism outside the normal range of continuous variation.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > Variation in endophenotypes is almost certainly due to common variants
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Variance is distributed along all of the chromosomes, and is therefore attributable to hundreds of loci.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > Common variants collectively capture the majority of the genetic variance in GWAS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“of the cheek bones, or curve of the lips, run strongly in families, appearing in distant relatives in patterns that are suggestive of large genetic effects.”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > Absence of blending inheritance
What the sources say
- Not checked yetcites [105] Jelenkovic, A., Poveda, A,, Susanne, C. & Rebato, E. Contribution of genetics and environment to craniofacial anthropometric phenotypes in Belgian nuclear families. Hum. Biol. 80, 637–654 (2008). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and it is not obvious that the normal variability is relevant to pathology.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > Variation in endophenotypes is almost certainly due to common variants
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In several instances where SNP-wise GWAS has uncovered few loci, this approach has provided clear evidence for polygenic risk, but it must be recognized that the high variance in estimation of effects results in noisy scores that, although highly significant in the replication sample, only capture over an order of magnitude less of the variance and are far from predictive.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > Common variants collectively capture the majority of the genetic variance in GWAS
What the sources say
- Not checked yetcites [53] Park, J.-H. et al. Distribution of allele frequencies and effect sizes and their inter-relationships for common genetic susceptibility variants. Proc. Natl Acad. Sci. USA 108, 18026–18031 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A more pointed argument against the infinitesimal nature of effects is that it predicts less granularity in the distribution of risk and phenotypic trait variation than is often observed, though I am not aware of a quantitative assessment of this claim.”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > Absence of blending inheritance
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“A technical argument against all common variant models is that association alone is insufficient evidence of function: correlation is not causation.”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > Very few common variants for disease have been functionally validated
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Since common variants are used for the partitioning it is most parsimonious to conclude that they are responsible, and simulations of rare variants so distributed capture much less of the variance.”
§ Rare and Common Variants: Twenty arguments > Arguments in favour of the infinitesimal model > Common variants collectively capture the majority of the genetic variance in GWAS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“(ii) increasing burden of complex disease in the span of one or two generations (both of these phenomena are obvious upon browsing the CDC website at http://www/cdc/gov for incidence data)”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > Demographic phenomena suggest more than a simple common variant model
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“Furthermore, homophily, the tendency for couples to pair on the basis of shared attributes (including sub-clinical disease indicators), will tend to enrich for variants that promote those attributes104.”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > Absence of blending inheritance
What the sources say
- Not checked yetcites [104] Fowler, J. H, Settle, J. E. & Christakis, N. A. Correlated genotypes in friendship networks. Proc. Natl Acad. Sci. USA 108, 1993–1997 (2011). source
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“It is little appreciated that GWAS do not actually measure heritability (the ratio of genetic to total phenotypic variance in a population) but rather they measure just the genetic variance.”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > What accounts for the missing heritability?
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Some of these may be due to LD with rare variants, but parsimony suggests most are common variant effects.”
§ Rare and Common Variants: Twenty arguments > Conclusion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“On this model, the rare variant can either increase or decrease function, and whether or not it associates with disease will be conditional on the background liability.”
§ Rare and Common Variants: Twenty arguments > Conclusion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In these cases, it can be argued that the infinitesimal model does not capture the full range of genetic variance, and that there is a true missing heritability problem that will need to be addressed with rare alleles and broad sense heritability components that were introduced in Box 1.”
§ Rare and Common Variants: Twenty arguments > Arguments against the infinitesimal model > What accounts for the missing heritability?
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Disease arises either in individuals at the extremes of the liability scale who move beyond the threshold, or in individuals close to the threshold who are pushed into adversity through environmental and behavioral agents, or because they carry one or more rare variants.”
§ Rare and Common Variants: Twenty arguments > Conclusion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The authors state this as an assumption.
Genotypic effects are ordered, with heterozygotes having intermediate risk or trait values.
“For the most part, it is assumed that genotypic effects are ordered, namely that the heterozygotes will have intermediate risk or trait values.”
The paper relies on this without support.
Genotyped SNPs tag the actual causal variant.
“For the most part, genotyped SNPs are thought to ‘tag’ the actual causal variant”
The paper relies on this without support.
The heritability of risk is generally estimated as narrow-sense variance.
“since the heritability of risk is generally estimated as narrow sense variance”
The paper relies on this without support.
The loci detected by GWAS are the largest effect sizes drawn from a Poisson-like distribution.
“The loci detected by GWAS are merely the largest effect sizes drawn from a Poisson or similar distribution.”
The paper relies on this without support.
GWAS has found very few variants with moderate effect.
“Nevertheless, there remains a general paradox that GWAS has found so few variants of moderate effect.”
The paper relies on this without support.
Disease incidence and complex phenotypes generally cluster in families.
“However, disease incidence and complex phenotypes generally cluster in families.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Rare variants, like apoE4[L28P], although equally important as common variants for disease pathogenesis, are seldom found by initial genome-wide association studies, primarily because of the low representation in the cohort, and require resequencing of large populations or targeted family-based studies and linkage analysis to be identified (51,52).”
From Molecular Basis for Increased Risk for Late-onset Alzheimer Disease Due to the Naturally Occurring L28P Mutation in Apolipoprotein E4 (2014) · cites this paper as [52]
Experimental — accuracy not yet measuredIn the citing paper
“For most common diseases, polygenic inheritance, involving many common genetic variants of small effect, plays a greater role than rare monogenic mutations.2–5”
From Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations (2018) · cites this paper as [3]
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Metadata
- Authors
- Gibson, G.
- Affiliations
- Georgia Institute of Technology (US)
- Corresponding author
- Gibson, Greg
- ORCID
- Gibson, Greg
- Venue
- Nature Reviews Genetics
- Published
- 2012-01-18
- Volume
- 13
- Issue
- 2
- Pages
- 135-145
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC4408201
- OpenAlex
- W1978150238
- Semantic Scholar
- 2a9f9310a05dafd57c2dc762e08b4a657748405b
- Cited by
- 1,278
- References
- 137
- Citations by year
- 2026: 35 · 2025: 47 · 2024: 59 · 2023: 60 · 2022: 68 · 2021: 92 · 2020: 79 · 2019: 94 · 2018: 82 · 2017: 124 · 2016: 106 · 2015: 124 · 2014: 122 · 2013: 127 · 2012: 57
- FWCI
- 17.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Georgia Institute of Technology
- National Institutes of Health
- National Institute of General Medical Sciences (P01GM099568)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- infinitesimal model, rare variants, common genetic variants, complex traits, disease risk, genome-wide association study, heritability, genetic architecture
- MeSH terms
- Alleles, Animals, Humans, Models, Genetic, Genetic Variation, Genetic Predisposition to Disease, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-06, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-06 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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