Cited by 1,452Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and AnimalsGenomics and Rare Diseases

Genetic Mapping in Human Disease

Open access
Altshuler, David, Daly, Mark J., Lander, Eric S.·2008·Science

Abstract

Genetic mapping provides a powerful approach to identify genes and biological processes underlying any trait influenced by inheritance, including human diseases. We discuss the intellectual foundations of genetic mapping of Mendelian and complex traits in humans, examine lessons emerging from linkage analysis of Mendelian diseases and genome-wide association studies of common diseases, and discuss questions and challenges that lie ahead.

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Written from the paper’s full text.

TL;DR

This review traces human genetic mapping from linkage analysis of Mendelian disease to genome-wide association studies of common disease, arguing that GWAS works but common variants typically have modest effects and explain only a small fraction of inherited risk. It outlines remaining challenges: larger and more diverse studies, resequencing for rare and structural variants, and mechanistic interpretation rather than risk prediction.

Key findings

  • Linkage and positional cloning identified thousands of Mendelian disease genes—growing from ~100 in the late 1980s to >2200 by 2008—but the approach was unsuccessful for common complex diseases such as diabetes, heart disease, and cancer.
  • Before 2006, only about two dozen reproducible associations outside the HLA locus had been discovered; by early 2008, more than 150 relationships between common SNPs and disease traits were identified. Most common-variant effects are modest, mostly risk increases of 1.1 to 1.5 per allele, with exceptions such as APOE4 in Alzheimer’s disease, CFH in age-related macular degeneration, and LOXL1 in exfoliative glaucoma showing effects of a factor of ≥2 per allele.
  • Variants identified by GWAS explain only a small fraction of inherited risk—for example, ~10% of the variance for Crohn’s disease and ~5% for type 2 diabetes. Power has been low: achieving 90% power to detect an allele with 20% frequency and a factor of 1.2 effect at P = 10−8 requires 8600 samples; meta-analysis and replication increased yield from 29 associations to more than 100 replicated loci across type 2 diabetes, serum lipids, Crohn’s disease, and height.
  • A single locus can contain multiple independent common risk variants and can harbor both common variants of weak effect and rare variants of large effect; many associations implicate non-protein-coding regions, and allele frequencies vary across human populations.

Methods

  • Narrative review and synthesis of the intellectual foundations, lessons, and future directions of genetic mapping in human disease, covering linkage analysis, association studies, GWAS, SNP catalogs, linkage disequilibrium, copy-number variation, and statistical analysis.
  • Draws on cited literature and examples, including the International HapMap Project, the SNP Consortium, the Wellcome Trust Case Control Consortium Crohn’s disease study, and power calculations for GWAS and resequencing studies.
  • No new primary data are reported; the paper is a review article.

Limitations

  • The paper states that most genes and mutations underlying GWAS findings remain to be defined, it remains unclear how much heritability of common disease they explain, current variance estimates assume simple additive interactions, searches have not yet found much evidence for epistasis but may lack power to assess interactions, and it is premature to make inferences about the overall genetic architecture of common disease. It also notes that environmental exposures are fundamentally difficult to measure and that there may be inherent limits to completely accounting for phenotypic variation.
  • Evident from the text: this is a narrative review, not a systematic review, with no stated formal search or selection criteria; examples and cited studies are selective, and the evidence base is current only to 2008.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1126/science.1156409

Cites

166 of 166 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 108 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    A GWAS of 2000 cases and 2000 controls provides good power for a 1% allele causing a factor of 4 increase in risk, even at P < 10−8.

    “A GWAS of 2000 cases and 2000 controls provides good power for a 1% allele causing a factor of 4 increase in risk (even at P < 10−8) (Fig. 2).”
    Quote in the paperSubstantial claim
  • Interpretationnone given

    Association studies of candidate genes were limited to specific variants in biological candidate genes, each with a tiny a priori probability of being disease-causing.

    “They were limited to specific variants in biological candidate genes, each with a tiny a priori probability of being disease-causing.”
    Quote in the paperSubstantial claim
  • Interpretationnone given

    Mutations that cause strongly deleterious phenotypes, as most Mendelian diseases appear to be, are lost to purifying selection.

    “Mutations that cause strongly deleterious phenotypes—as most Mendelian diseases appear to be—are lost to purifying selection.”
    Quote in the paperNot a substantial claim
  • Interpretationnone given

    The linkage-based approach proved unsuccessful for common forms of human diseases such as diabetes, heart disease, and cancer that show complex inheritance in the general population.

    “Despite great hopes, the approach proved unsuccessful for common forms of human diseases—such as diabetes, heart disease, and cancer—that show complex inheritance in the general population.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Common forms of human diseases such as diabetes, heart disease, and cancer show complex inheritance in the general population.
  • Interpretationnone given

    Loci for Mendelian diseases typically harbor many disease-causing alleles, mostly rare in the population.

    “Loci typically harbor many disease-causing alleles, mostly rare in the population”
    Quote in the paperNot a substantial claim
  • May combine two claims. 59
  • Classified as probably not a substantial claim. 45
  • The quote only partly states this claim. 2
  • May combine two claims.

    Findingnone given

    A study of 1000 cases and 1000 controls provides only 1% power to detect a 20% variant that increases risk by a factor of 1.3, but a study of 5000 cases and 5000 controls provides 98% power.

    “A study of 1000 cases and 1000 controls provides only 1% power to detect a 20% variant that increases risk by a factor of 1.3, but a study of 5000 cases and 5000 controls provides 98% power (Fig. 2).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationnone given

    In common forms of common disease, risk to relatives is lower than in Mendelian cases, and linkage studies with excellent power to detect a single causal gene yielded equivocal results.

    “In common forms of common disease, risk to relatives is lower than in Mendelian cases, and linkage studies with excellent power to detect a single causal gene yielded equivocal results.”
    Quote in the paperSubstantial claim
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    Premisecitation

    Perhaps 90% of heterozygous sites in each individual are common variants, typically shared among continental populations.

    “Moreover, perhaps 90% of heterozygous sites in each individual are common variants, typically shared among continental populations (33).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [33] Lewontin R Dobzhansky T Hecht MK Steere WC Evolutionary Biology 6 1972 New York Appleton-Century-Crofts 391 398

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    Premisecitation

    Nearby variants form a block-like structure consisting of regions with little evidence for historical recombination and limited haplotype diversity; within such regions, genotypes of common SNPs can be inferred from a few empirically determined tag SNPs.

    “Nearby variants were observed to form a block-like structure consisting of regions characterized by little evidence for historical recombination and limited haplo-type diversity (44, 45). Within such regions, which soon proved general (46), genotypes of common SNPs could be inferred from knowledge of only a few empirically determined tag SNPs (45–47).”
    Quote in the paperSubstantial claim0 of 4 sources checked
    • cites [44] Daly MJ Rioux JD Schaffner SF Hudson TJ Lander ES Nat. Genet 2001 29 229 11586305 source

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    • cites [45] Patil N Science 2001 294 1719 11721056 source

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    • cites [46] Gabriel SB Science 2002 published online 23 May 2002 296 2225 12029063 source

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    • cites [47] Johnson GC Nat. Genet 2001 29 233 11586306 source

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    Premisecitation

    The SNP Consortium built an initial map of 1.4 million SNPs; this has grown to more than 10 million SNPs and is estimated to contain 80% of all SNPs with frequencies of >10%.

    “A public-private partnership, the SNP Consortium, built an initial map of 1.4 million SNPs (32); this has grown to more than 10 million SNPs (36) and is estimated to contain 80% of all SNPs with frequencies of >10% (37).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [32] Sachidanandam R Nature 2001 409 928 source

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    • cites [36] Entrez SNP (www.ncbi.nlm.nih.gov/sites/entrez?db=snp)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [37] International HapMap Consortium Nature 2005 437 1299

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  • May combine two claims.

    Interpretationcitation

    Mendelian subtypes of common diseases were elucidated, but mutations in these genes explained few cases in the population.

    “Mendelian subtypes of common diseases [such as breast cancer (15), hypertension (16), and diabetes (17)] were elucidated, but mutations in these genes explained few cases in the population.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [15] Welcsh PL King MC Hum. Mol. Genet 2001 10 705 11257103 source

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    • cites [16] Lifton RP Harvey Lect 2004 100 71 16970175

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    • cites [17] Bell GI Polonsky KS Nature 2001 414 788 11742410 source

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    Interpretationcitation

    Although many claims of associations were published, the statistical support tended to be weak and few were subsequently replicated.

    “Although many claims of associations were published, the statistical support tended to be weak and few were subsequently replicated (25).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [25] Lohmueller KE Pearce CL Pike M Lander ES Hirschhorn NJ Nat. Genet 2003 33 177 12524541 source

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  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    Disease-causing mutations for Mendelian diseases often cause major changes in encoded proteins.

    “Disease-causing mutations often cause major changes in encoded proteins”
    Quote in the paperNot a substantial claim
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    Interpretationreasoning

    Association studies were susceptible to false positives due to population structure, because there was no way to assess differences in the genetic background of cases and controls.

    “Moreover, association studies were susceptible to false positives due to population structure, because there was no way to assess differences in the genetic background of cases and controls.”
    Quote in the paperSubstantial claim
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    Premisecitation

    LD mapping proved useful in fine-mapping the founder Δ508 mutation in CFTR as a cause of cystic fibrosis and in screening the entire genome in isolated populations such as Finland.

    “This method soon proved useful in fine-mapping the founder Δ508 mutation in the transmembrane conductance regulator CFTR as a cause of cystic fibrosis (40) and in screening the entire genome in isolated populations such as Finland (41).”
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    • cites [40] Kerem B Science 1989 245 1073 2570460 source

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    • cites [41] Hastbacka J Nat. Genet 1992 2 204 1345170 source

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  • May combine two claims.

    Premisereasoning

    Because the recombination rate is low (~1 crossover per 100 megabases per generation), disease alleles in the population typically show association with nearby marker alleles for many generations, a phenomenon termed linkage disequilibrium (LD).

    “Because the recombination rate is low [~1 crossover per 100 megabases (Mb) per generation], disease alleles in the population typically show association with nearby marker alleles for many generations, a phenomenon termed linkage disequilibrium (LD) (Fig. 1).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Fig. 1

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationnone given

    The features of common disease were consistent with, but did not prove, a polygenic model.

    “These features were consistent with, but did not prove, a polygenic model.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationnone given

    Most of the genes and mutations underlying the GWAS findings remain to be defined, and it remains unclear how much of the heritability of common disease they explain.

    “Still, most of the genes and mutations underlying these findings remain to be defined, let alone understood, and it remains unclear how much of the heritability of common disease they explain.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationnone given

    The candidate gene approach was inadequate for Mendelian disease gene discovery; most disease genes were completely unsuspected on the basis of previous knowledge.

    “The “candidate gene” approach was woefully inadequate; most disease genes were completely unsuspected on the basis of previous knowledge”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A simulation study suggested that LD might typically be too short to be useful with a SNP every 5 kb (500,000 SNPs across the genome), providing very weak LD (average correlation r2 = 0.1).

    “A simulation study suggested that LD might typically be too short to be useful with a SNP every 5 kb (500,000 SNPs across the genome) providing very weak LD (average correlation r2 = 0.1) (42).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [42] Kruglyak L Nat. Genet 1999 22 139 10369254 source

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    Interpretationcitation

    A subset of associations involve genes previously related to the disease; of 19 loci meeting genome-wide significance in a recent GWAS of LDL, HDL, or triglycerides, 12 contained genes with known functions in lipid biology.

    “1) A subset of associations involve genes previously related to the disease. Of 19 loci meeting genome-wide significance in a recent GWAS of LDL, HDL, or triglyceride levels, 12 contained genes with known functions in lipid biology (84, 85).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [84] Kathiresan S Nat. Genet 2008 40 189 18193044 PMC2682493 source

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    • cites [85] Willer CJ Nat. Genet 2008 40 161 18193043 PMC5206900 source

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    Interpretationcitation

    The risk of false negatives was illustrated by T2D and the Pro12 → Ala polymorphism in PPARγ: larger studies produced strong and consistent evidence of increased risk by a factor of 1.2, while negative studies lacked adequate power.

    “Whereas an initial positive report (61) had not been confirmed in four modest-sized replication studies, larger studies produced strong and consistent evidence of increased risk by a factor of 1.2 (62, 63). The negative studies were actually consistent with the level of increased risk, but simply lacked adequate power to detect it.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [61] Deeb SS Nat. Genet 1998 20 284 9806549 source

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    • cites [62] Altshuler D Nat. Genet 2000 26 76 10973253 source

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    • cites [63] Florez JC Hirschhorn JN Altshuler D Annu. Rev. Genomics Hum. Genet 2003 4 257 14527304 source

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    Interpretationcitation

    Association signals have identified small regions for study but have not yet identified causal genes and mutations; GWASs typically yield regions of 10 to 100 kb, and the causal mutation need not be a SNP (e.g., IRGM deletion upstream of promoter).

    “4) Association signals have identified small regions for study but have not yet identified causal genes and mutations.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [91] McCarroll SA Nat. Genet 2008 40 1107 19165925 PMC2731799 source

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    Interpretationcitation

    Because allele frequencies vary across human populations, the relative roles of common susceptibility genes can vary among ethnic groups; the 8q24 prostate cancer contribution is greater in African Americans because risk alleles occur at higher frequencies, not because they confer greater susceptibility.

    “7) Because allele frequencies vary across human populations, the relative roles of common susceptibility genes can vary among ethnic groups. One example is the association of prostate cancer at 8q24: SNPs in the region play a role in all ethnic groups, but the contribution is greater in African Americans. This is not because the risk alleles yet found confer greater susceptibility in African”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [92] Haiman CA Nat. Genet 2007 39 638 17401364 PMC2638766 source

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  • May combine two claims.

    Interpretationcitation

    A single locus can harbor both common variants of weak effect and rare variants of large effect; of 19 lipid loci, nine were already known to carry rare Mendelian mutations with large effects.

    “6) A single locus can harbor both common variants of weak effect and rare variants of large effect. In recent GWASs, studies of common SNPs enabled the identification of 19 loci as influencing low- or high-density lipoprotein (LDL, HDL) or triglycerides (84, 85). Nine of these 19 were already known to carry rare Mendelian mutations with large effects, such as the loci for the LDL receptor (LDLR)”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [84] Kathiresan S Nat. Genet 2008 40 189 18193044 PMC2682493 source

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    • cites [85] Willer CJ Nat. Genet 2008 40 161 18193043 PMC5206900 source

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  • May combine two claims.

    Interpretationcitation

    A single locus can contain multiple independent common risk variants; for example, seven independent alleles at 8q24 for prostate cancer, three at CFH for AMD, three at IRF5 for SLE, and two at IL23R for Crohn's disease.

    “5) A single locus can contain multiple independent common risk variants. Intensive study has already identified seven independent alleles at 8q24 for prostate cancer (92), three at complement factor H (CFH) for age-related macular degeneration (93, 94), three at IRF5 for systemic lupus erythematosus (95), and two at IL23R for Crohn’s disease (96).”
    Quote in the paperSubstantial claim0 of 4 sources checked
    • cites [92] Haiman CA Nat. Genet 2007 39 638 17401364 PMC2638766 source

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    • cites [93] Maller J Nat. Genet 2006 38 1055 16936732 source

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    • cites [94] Li M Nat. Genet 2006 38 1049 16936733 PMC1941700 source

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    • cites [95] Graham RR Proc. Natl. Acad. Sci. U.S.A 2007 104 6758

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  • May combine two claims.

    Interpretationcitation

    Effect sizes for common variants are typically modest; in the vast majority of cases, estimated effects are increases in risk by a factor of 1.1 to 1.5 per associated allele, with a few exceptions of ≥2 (APOE4, CFH, LOXL1).

    “2) Effect sizes for common variants are typically modest. In a few cases, common variants with effects of a factor of ≥2 per allele have been found: APOE4 in Alzheimer’s disease (23), CFH in age-related macular degeneration (77–79), and LOXL1 in exfoliative glaucoma (80). In the vast majority of cases, however, the estimated effects are much smaller—mostly increases in risk by a factor of 1.1 to 1”
    Quote in the paperSubstantial claim0 of 5 sources checked
    • cites [23] Strittmatter WJ Roses AD Annu. Rev. Neurosci 1996 19 53 8833436 source

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    • cites [77] Klein RJ Science 2005 308 385 published online 10 March 2005

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    • cites [78] Edwards AO Science 2005 308 421 published online 10 March 2005

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    • cites [79] Haines JL Science 2005 308 419 published online 10 March 2005

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    • cites [80] Thorleifsson G Science 2007 317 1397 published online 9 August 2007 17690259 source

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  • May combine two claims.

    Study design and conductcitation

    A dense genome-wide scan of common variants involves the equivalent of ~1 million independent hypotheses, so a significance level of P = 5 × 10−8 represents a finding expected by chance once in 20 GWASs.

    “Simulations indicated that a dense genome-wide scan of common variants involves the equivalent of ~1 million independent hypotheses (64). A significance level of P = 5 × 10−8 thus represents a finding expected by chance once in 20 GWASs.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [64] Pe'er I Yelensky R Altshuler D Daly MJ Genet. Epidemiol 2008 32 381 18348202 source

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    Interpretationcitation

    Most associations do not involve previous candidate genes; some GWAS results immediately suggest new biological hypotheses, such as CFH in AMD, FGFR2 in breast cancer, and CDKN2A/CDKN2B in T2D.

    “2) Most associations do not involve previous candidate genes. In some cases, GWAS results immediately suggest new biological hypotheses— for example, the role of complement factor H in age-related macular degeneration (77–79), FGFR2 in breast cancer (98), and CDKN2A and CDKN2B in T2D (99–101).”
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    • cites [77] Klein RJ Science 2005 308 385 published online 10 March 2005

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    • cites [78] Edwards AO Science 2005 308 421 published online 10 March 2005

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    • cites [79] Haines JL Science 2005 308 419 published online 10 March 2005

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    • cites [98] Easton DF Nature 2007 447 1087 17529967 PMC2714974 source

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    • cites [99] Zeggini E Science 2007 316 1336 published online 25 April 2007 17463249 PMC3772310 source

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    • cites [100] Scott LJ Science 2007 316 1341 published online 25 April 2007 17463248 PMC3214617 source

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    • cites [101] Diabetes Genetics Initiative of Broad Institute of Harvard MIT, Lund University, Novartis Institutes for BioMedical Research Science 2007 316 1331 published online 26 April 2007

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims. The quote only partly states this claim.

    Interpretationcitation

    The power to detect associations has been low; first-wave GWASs identified only a fraction of loci findable with larger sample sizes, and increasing power by meta-analysis and replication increased yield to more than 100 replicated loci for T2D, serum lipids, Crohn's disease, and height.

    “3) The power to detect associations has been low. Given the effect sizes now known to exist, and the need to exceed stringent statistical thresholds, the first wave of GWASs provided low power to discover disease-causing loci (81, 82).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [81] Wellcome Trust Case Control Consortium Nature 2007 447 661

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    • cites [82] Altshuler D Daly M Nat. Genet 2007 39 813 17597768 source

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    • cites [83] Zeggini E Nat. Genet 2008 40 638 18372903 PMC2672416 source

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    Premisecitation

    Comparative genome analysis has shown that 5% of the human genome is evolutionarily conserved and thus functional; less than one-third of this 5% consists of genes that encode proteins.

    “Comparative genome analysis has shown that 5% of the human genome is evolutionarily conserved and thus functional; less than one-third of this 5% consists of genes that encode proteins (108).”
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    • cites [108] Waterston RH Nature 2002 420 520 12466850 source

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    Premisecitation

    Sequence data from the International HapMap Project confirmed that 500,000 SNPs provide excellent power to test >90% of common SNP variation in out-of-Africa populations, with roughly twice that number required in African populations.

    “Sequence data collected by the project confirmed that the vast majority of common SNPs are strongly correlated to one or more nearby proxies: 500,000 SNPs provide excellent power to test >90% of common SNP variation in out-of-Africa populations, with roughly twice that number required in African populations (37).”
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    • cites [37] International HapMap Consortium Nature 2005 437 1299

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    Interpretationcitation

    GWASs work: by early 2008, more than 150 relationships were identified between common SNPs and disease traits, and in most diseases studied GWASs revealed multiple independent loci.

    “1) GWASs work. Before 2006, only about two dozen reproducible associations outside the HLA locus had been discovered (25). By early 2008, more than 150 relationships were identified between common SNPs and disease traits (table S1). In most diseases studied, GWASs have revealed multiple independent loci, although some traits have not yet yielded associations that meet stringent thresholds (e.g.,”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [25] Lohmueller KE Pearce CL Pike M Lander ES Hirschhorn NJ Nat. Genet 2003 33 177 12524541 source

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    • cites table S1

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  • May combine two claims.

    Interpretationcitation

    Many associations implicate non-protein-coding regions; examples include 8q24 associated with prostate, breast, and colon cancer, 300 kb from the nearest gene, and 9q21 associated with myocardial infarction and T2D, 150 kb from CDKN2A/CDKN2B.

    “Examples include the region at 8q24 associated with prostate, breast, and colon cancer, 300 kb from the nearest gene (103, 104), and the region at 9q21 associated with myocardial infarction and T2D, 150 kb from the nearest genes encoding CDKN2A and CDKN2B (99–101, 105–107).”
    Quote in the paperSubstantial claim0 of 8 sources checked
    • cites [103] Amundadottir LT Nat. Genet 2006 38 652 16682969 source

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    • cites [104] Freedman ML Proc. Natl. Acad. Sci. U.S.A 2006 103 14068

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    • cites [99] Zeggini E Science 2007 316 1336 published online 25 April 2007 17463249 PMC3772310 source

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    • cites [100] Scott LJ Science 2007 316 1341 published online 25 April 2007 17463248 PMC3214617 source

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    • cites [101] Diabetes Genetics Initiative of Broad Institute of Harvard MIT, Lund University, Novartis Institutes for BioMedical Research Science 2007 316 1331 published online 26 April 2007

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    • cites [105] McPherson R Science 2007 316 1488 published online 2 May 2007 17478681 PMC2711874 source

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    • cites [106] Samani NJ N. Engl. J. Med 2007 357 443 17634449 PMC2719290 source

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    • cites [107] Helgadottir A Science 2007 316 1491 published online 2 May 2007 17478679 source

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    Study design and conductcitation

    Methods were developed to detect and adjust for ancestry biases and unexpected relatedness between subjects.

    “Methods were developed to detect and adjust for such biases (67–69) as well as unexpected relatedness between subjects.”
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    • cites [67] Devlin B Roeder K Biometrics 1999 55 997 11315092 source

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    • cites [68] Pritchard JK Rosenberg NA Am. J. Hum. Genet 1999 65 220 10364535 PMC1378093 source

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    • cites [69] Price AL Nat. Genet 2006 38 904 16862161 source

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  • May combine two claims.

    Interpretationcitation

    Some regions contain expected associations across diseases and traits; the association of the same common polymorphisms in IL23R in Crohn's disease, psoriasis, and ankylosing spondylitis points to a shared molecular cause.

    “4) Some regions contain expected associations across diseases and traits. Crohn’s disease, psoriasis, and ankylosing spondylitis have long been recognized to share clinical features; the association of the same common polymorphisms in IL23R in all three diseases points to a shared molecular cause (96, 109, 110).”
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    • cites [96] Duerr RH Science 2006 314 1461 published online 26 October 2006 17068223 PMC4410764 source

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    • cites [109] Burton PR Nat. Genet 2007 39 1329 17952073 PMC2680141 source

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    • cites [110] Cargill M Am. J. Hum. Genet 2007 80 273 17236132 PMC1785338 source

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    Premisecitation

    Many copy-number variations (CNVs) display tight LD with nearby SNPs and thus can be proxied by nearby SNPs in GWASs.

    “Many CNVs display tight LD with nearby SNPs (56, 57) and thus can be proxied by nearby SNPs in GWASs.”
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    • cites [56] Hinds DA Kloek AP Jen M Chen X Frazer KA Nat. Genet 2006 38 82 16327809 source

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    • cites [57] McCarroll SA Nat. Genet 2006 38 86 16468122 source

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    Premisecitation

    The gene encoding PCSK9 contains very rare mutations causing autosomal dominant hypercholesterolemia and high-frequency common variants with modest effects.

    “The gene encoding PCSK9 contains very rare mutations causing autosomal dominant hypercholesterolemia (discovered by linkage analysis), as well as high-frequency common variants with modest effects.”
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    • cites [126] Kotowski IK Am. J. Hum. Genet 2006 78 410 16465619 PMC1380285 source

      Not checked in the free run.

    • cites [127] Cohen J Nat. Genet 2005 37 161 15654334 source

      Not checked in the free run.

  • May combine two claims.

    Premisereasoning

    ABCA1 is a favorable case because μ and ω are high, with an unusually large coding region of ~7 kb and mutations conferring a factor of ~6 increase in risk.

    “ABCA1 is a favorable case because μ and ω are high (the gene has an unusually large coding region of ~7 kb, and mutations confer a factor of ~6 increase in risk).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The proportion of genetic variance explained is certain to grow in the coming years, but it is unlikely to approach 100% because of practical limitations such as detecting common variants with extremely small effects, genes harboring rare variants at very low frequency, and complex interactions among genes and with the environment.

    “Although the proportion of genetic variance explained is certain to grow in the coming years, it is unlikely to approach 100% because of practical limitations, such as the difficulty of detecting common variants with extremely small effects, genes harboring rare variants at very low frequency, and complex interactions among genes and with the environment.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisereasoning

    Brown and Goldstein's studies of FH led to the discovery of the LDL receptor and supported the development of HMGCR inhibitors (statins) for lowering LDL, the use of which is not limited to FH carriers.

    “Studies of FH led to the discovery of the LDL receptor and supported the development of HMGCR inhibitors (statins) for lowering LDL, the use of which is not limited to FH carriers.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationnone given

    GWASs to date have had low statistical power and thus necessarily missed many loci with common variants of similar and smaller effects.

    “As noted above, GWASs to date have had low statistical power and thus necessarily missed many loci with common variants of similar and smaller effects.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisenone given

    The first GWASs did not have proxies for common structural variants and have failed to capture lower-frequency common variants (0.5 to 5%).

    “The first studies did not have proxies for common structural variants and have failed to capture lower-frequency common variants (0.5 to 5%).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The frequency of a genetic variant is not related to the magnitude of its effect, nor to the potential clinical value that may be obtained.

    “From this perspective, the frequency of a genetic variant is not related to the magnitude of its effect, nor to the potential clinical value that may be obtained.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    The likely outcome of systematically exploring these directions is that different diseases will each be characterized by a different balance of allele frequencies, interactions, and types.

    “Only by systematically exploring each of these directions over the coming years will a general picture emerge—with the likely outcome being that different diseases will each be characterized by a different balance of allele frequencies, interactions, and types.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    The current HapMap provides reliable proxies for the vast majority of SNPs at frequencies above 5%, but its coverage declines rapidly for lower-frequency alleles.

    “The current HapMap provides reliable proxies for the vast majority of SNPs at frequencies above 5%, but its coverage declines rapidly for lower-frequency alleles (37).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [37] International HapMap Consortium Nature 2005 437 1299

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Premisenone given

    FH affects ~0.2% of the population and accounts for a tiny fraction of the heritability of LDL and myocardial infarction.

    “The classic example is Brown and Goldstein’s studies of FH, which affects ~0.2% of the population and accounts for a tiny fraction of the heritability of LDL and myocardial infarction.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationnone given

    The effect of an inherited variant is limited by natural selection and pleiotropy, whereas the effect of a drug treatment is not.

    “This is because the effect of an inherited variant is limited by natural selection and pleiotropy, whereas the effect of a drug treatment is not.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Hobbs and Cohen identified low-frequency common variants in PCSK9 at 0.5 to 1%, which allowed epidemiological research documenting a protective effect on myocardial infarction.

    “Hobbs and Cohen sequenced the gene (126, 127) and identified low-frequency common variants (0.5 to 1%), which allowed epidemiological research documenting a protective effect on myocardial infarction (128).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [126] Kotowski IK Am. J. Hum. Genet 2006 78 410 16465619 PMC1380285 source

      Not checked in the free run.

    • cites [127] Cohen J Nat. Genet 2005 37 161 15654334 source

      Not checked in the free run.

    • cites [128] Cohen JC Boerwinkle E Mosley TH Jr Hobbs HH N. Engl. J. Med 2006 354 1264 16554528 source

      Not checked in the free run.

  • May combine two claims.

    Premisereasoning

    SNPs in HMGCR have only a small effect (~5%) on LDL levels, whereas drugs targeting the encoded protein decrease LDL levels by a much greater extent (~30%).

    “Although SNPs in HMGCR have only a small effect (~5%) on LDL levels, drugs targeting the encoded protein decrease LDL levels by a much greater extent (~30%).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [84] Kathiresan S Nat. Genet 2008 40 189 18193044 PMC2682493 source

      Not checked in the free run.

    • cites [85] Willer CJ Nat. Genet 2008 40 161 18193043 PMC5206900 source

      Not checked in the free run.

  • May combine two claims.

    Interpretationcitation

    Some regions reveal surprising associations; unexpected connections have emerged among T2D, inflammatory diseases (two loci), and cancer (four loci), including CDKAL1, GCKR, TCF2, JAZF1, and TCF7L2.

    “5) Some regions reveal surprising associations. For example, unexpected connections have emerged among T2D, inflammatory diseases (two loci), and cancer (four loci). A single intron of CDKAL1 was found to contain a SNP associated with T2D and insulin secretion defects (99–101, 116), and another with Crohn’s disease and psoriasis (117).”
    Quote in the paperSubstantial claim0 of 5 sources checked
    • cites [99] Zeggini E Science 2007 316 1336 published online 25 April 2007 17463249 PMC3772310 source

      Not checked in the free run.

    • cites [100] Scott LJ Science 2007 316 1341 published online 25 April 2007 17463248 PMC3214617 source

      Not checked in the free run.

    • cites [101] Diabetes Genetics Initiative of Broad Institute of Harvard MIT, Lund University, Novartis Institutes for BioMedical Research Science 2007 316 1331 published online 26 April 2007

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [116] Steinthorsdottir V Nat. Genet 2007 39 770 17460697 source

      Not checked in the free run.

    • cites [117] Wolf N J. Med. Genet 2008 45 114 17993580 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Some disease loci will contain only rare variants.

    “Some disease loci will contain only rare variants.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Current studies are underpowered for the types of SNP alleles that we now know exist, and available evidence indicates that increasing sample size will yield substantial returns.

    “Current studies are underpowered for the types of SNP alleles that we now know exist, and available evidence indicates that increasing sample size will yield substantial returns.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The very rare PCSK9 mutations are too rare and the high-frequency common variants too weak to enable effective clinical study of PCSK9 with respect to coronary artery disease risk.

    “The former are too rare and the latter too weak to enable effective clinical study of PCSK9 with respect to coronary artery disease risk.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning

    Rare coding mutations with large effect will be especially valuable because physiological studies of mutation carriers can help illuminate the biological basis of the disease, and because coding mutations of large effect are more straightforwardly transferred to cellular and animal models for mechanistic studies.

    “Rare coding mutations with large effect will be especially valuable, because physiological studies of mutation carriers can help illuminate the biological basis of the disease, and because coding mutations of large effect are more straightforwardly transferred to cellular and animal models for mechanistic studies.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Extending GWASs to include structural variants and lower-frequency common variants will require comprehensive catalogs of genomic variation, as well as characterization of LD relationships.

    “Extending GWASs to include structural variants and lower-frequency common variants will require comprehensive catalogs of genomic variation, as well as characterization of LD relationships.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    A particular challenge will be to identify mutations in regions without known function or evolutionary conservation.

    “A particular challenge will be to identify mutations in regions without known function or evolutionary conservation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

    Interpretationcitation

    Useful tools will include maps of evolutionary conservation and chromatin state, as well as databases of cell-state signatures, such as genome-wide expression patterns.

    “Useful tools will include maps of evolutionary conservation (108) and chromatin state (140), as well as databases of cell-state signatures, such as genome-wide expression patterns, that may integrate aspects of cell biology under resting and provoked conditions (141).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [108] Waterston RH Nature 2002 420 520 12466850 source

      Not checked in the free run.

    • cites [140] Mikkelsen TS Nature 2007 448 553 17603471 PMC2921165 source

      Not checked in the free run.

    • cites [141] Lamb J Science 2006 313 1929 17008526 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    The high failure rate of clinical trials testifies to the limited predictive value of current approaches.

    “The high failure rate of clinical trials testifies to the limited predictive value of current approaches.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationnone given

    Initially, resequencing of coding exons will be easiest to interpret.

    “Initially, resequencing of coding exons will be easiest to interpret.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given

    Genetic effects will likely vary across groups because of modification by environment and behavior, which may vary more across groups than does genotype.

    “Genetic effects will likely vary across groups because of modification by environment and behavior, which may vary more across groups than does genotype.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    Nearly all GWASs to date have been performed in populations of European ancestry.

    “Nearly all GWASs to date have been performed in populations of European ancestry.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    With new massively parallel sequencing technologies, an accurate map of all 1% alleles (both single-nucleotide and structural) should be achievable.

    “With new massively parallel sequencing technologies, an accurate map of all 1% alleles (both single-nucleotide and structural) should be achievable.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    By focusing attention on genes and processes, human genetics has the potential to yield productive targets and predictive animal models.

    “By focusing attention on genes and processes, human genetics has the potential to yield productive targets and predictive animal models.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given

    Physiological studies in patients classified by genotype may inform disease processes and lead to useful nongenetic biomarkers.

    “Physiological studies in patients classified by genotype may inform disease processes and lead to useful nongenetic bio-markers.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given

    Some loci may harbor neither common variants nor rare structural variants, and thus will be missed by array and LD-based approaches.

    “Some loci may harbor neither common variants nor rare structural variants, and thus will be missed by array and LD-based approaches.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    Routine genome sequencing of deeply phenotyped cohorts will fundamentally change the nature of genetic mapping from a serial process to a joint estimation procedure combining variation information of all types, frequencies, and phenotypes.

    “Routine genome sequencing of deeply phenotyped cohorts will fundamentally change the nature of genetic mapping: from the current serial process (in which initial localization by linkage or GWAS is followed by scrutiny of DNA variation and phenotypes) to a joint estimation procedure combining variation information of all types, frequencies, and phenotypes to discover and characterize genotype-pheno”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning

    Knowledge of a common variant that increases T2D risk by 20% may eventually lead to new understanding and therapeutic strategies, but whether an increase in absolute risk from 8% to 10% is useful for patients remains to be seen.

    “Knowledge of a common variant that increases T2D risk by 20% may eventually lead to new understanding and therapeutic strategies, but whether an increase in absolute risk (from 8% to 10%) is useful for patients remains to be seen.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given

    Although it is tempting to think that knowledge of individual risk might promote greater adherence to a healthy lifestyle, human behavior is complex and risk estimates are challenging to interpret.

    “Although it is tempting to think that knowledge of individual risk might promote greater adherence to a healthy lifestyle, human behavior is complex and risk estimates are challenging to interpret.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationreasoning

    Initial studies will likely focus on exons, where functional mutations are enriched to the greatest extent.

    “Initial studies will likely focus on exons, where functional mutations are enriched to the greatest extent.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    Our understanding of complex disease will be in constant flux over the coming years.

    “Our understanding of complex disease will be in constant flux over the coming years.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationreasoning

    Given the limits of human clinical research, rare alleles of strong effect may be more useful than common alleles of weak effect.

    “Given the limits of human clinical research, rare alleles of strong effect may be more useful than common alleles of weak effect.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given

    It will be a challenge for the public to understand the difference between relative and absolute risk, and to figure in their thinking the larger component of genetic and environmental factors not yet captured by today's technologies.

    “It will be a challenge for the public to understand the difference between relative and absolute risk, and to figure in their thinking the larger component of genetic and environmental factors not yet captured by today’s technologies.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The SORT1 association provides increased statistical confidence, a biomarker for gene function, and pathophysiological insight.

    “this provides not only increased statistical confidence, but also a biomarker for gene function and pathophysiological insight.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    There may be inherent limits to our ability to relate phenotypic variation and genotypic variation.

    “There may be inherent limits to our ability to relate phenotypic variation and genotypic variation.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Newly described variants on chromosome 1 near SORT1 are associated both with levels of LDL cholesterol and with risk of myocardial infarction.

    “For example, newly described variants on chromosome 1 (near SORTI) are associated both with levels of LDL cholesterol (84, 85) and with risk of myocardial infarction (106);”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [84] Kathiresan S Nat. Genet 2008 40 189 18193044 PMC2682493 source

      Not checked in the free run.

    • cites [85] Willer CJ Nat. Genet 2008 40 161 18193043 PMC5206900 source

      Not checked in the free run.

    • cites [106] Samani NJ N. Engl. J. Med 2007 357 443 17634449 PMC2719290 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    The ability to measure genotype now far exceeds our ability to measure phenotype.

    “The ability to measure genotype now far exceeds our ability to measure phenotype.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationnone given

    Even where genotype can predict response to a drug with a narrow therapeutic window, it cannot be assumed that genetic testing will necessarily lead to improved clinical outcomes.

    “Even where genotype can predict response to a drug with a narrow therapeutic window, it cannot be assumed that genetic testing will necessarily lead to improved clinical outcomes.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    Eventually, it will become practical to resequence entire genomes from thousands of cases and controls.

    “Eventually, it will become practical to resequence entire genomes from thousands of cases and controls.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A "1000 Genomes Project" was recently launched toward this end.

    “A “1000 Genomes Project” was recently launched toward this end (138).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [138] 1000 Genomes (www.1000genomes.org)

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    New statistical methods will be required to combine evidence from rare and common alleles at a locus and across multiple loci, phenotypes, and nongenetic exposures.

    “New statistical methods will be required to combine evidence from rare and common alleles at a locus and across multiple loci, phenotypes, and nongenetic exposures.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationnone given

    Genetic mapping is only a first step toward biological understanding and clinical application.

    “Genetic mapping is only a first step toward biological understanding and clinical application.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationnone given

    The extent to which genetic information will figure in personalized medicine will depend on whether predictive accuracy beyond conventional measures can be attained, and whether there are interventions whose effectiveness is improved by knowledge of a genetic test.

    “The extent to which genetic information will figure in “personalized medicine” will depend on whether predictive accuracy beyond conventional measures can be attained, and whether there are interventions whose effectiveness is improved by knowledge of a genetic test.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Premisenone given

    DNA is stable throughout life, with a single physical chemistry that enables generic approaches to measurement.

    “DNA is stable throughout life, with a single physical chemistry that enables generic approaches to measurement.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    The problem of interpretation will be much harder for noncoding functional elements, because it is unclear how to aggregate elements to achieve a large enough target size, or to develop ways to recognize function-altering changes.

    “The problem of interpretation will be much harder for noncoding functional elements, because it is unclear either how to aggregate elements to achieve a large enough target size, or to develop ways to recognize function-altering changes.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    In clinical trials, the ability to stratify patients by genotype or biological pathway may reveal differences in therapeutic response.

    “In clinical trials, the ability to stratify patients by genotype or biological pathway may reveal differences in therapeutic response.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Because the prior probability of a true association is higher, such regions will be the best setting to develop methods for understanding the statistical significance and biological importance of rare mutations.

    “Because the prior probability of a true association is higher, such regions will be the best setting to develop methods for understanding the statistical significance and biological importance of rare mutations.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The lowest-hanging fruit will be to resequence loci that have been definitively implicated in disease by Mendelian genetics or by GWAS.

    “The lowest-hanging fruit will be to resequence loci that have been definitively implicated in disease by Mendelian genetics or by GWAS.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    To the extent that disease is influenced by tiny effects at hundreds of loci or highly heterogeneous rare mutations, it may be impractical to assemble sufficiently large samples to give a complete accounting.

    “To the extent that disease is influenced by tiny effects at hundreds of loci or highly heterogeneous rare mutations, it may be impractical to assemble sufficiently large samples to give a complete accounting.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    Creation of disease models, both in human cell culture and nonhuman animals, will be key.

    “Creation of disease models, both in human cell culture and nonhuman animals, will be key.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Genetics may increase the efficiency of outcome trials by focusing on patients at higher-than-average risk.

    “Genetics may also increase the efficiency of outcome trials by focusing on patients at higher-than-average risk.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationnone given

    Although genes play a role and can lead to new biological insight, our traits are powerfully shaped by the environment, and the solutions to important problems will often lie outside our genes.

    “We must constantly remind the public—and ourselves— that although genes play a role (and can lead us to new biological insight), our traits are powerfully shaped by the environment, and the solutions to important problems will often lie outside our genes.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Environmental exposures play a larger role in human phenotypic variation than does genetic variation.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Highly parallel methods to capture hundreds of thousands of exons, and other targets of interest, are under development.

    “Highly parallel methods to capture hundreds of thousands of exons, and other targets of interest, are under development (139).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [139] Albert TJ Nat. Methods 2007 4 903 17934467 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Premisenone given

    Environmental exposures are heterogeneous and may be fleeting.

    “Environmental exposures are heterogeneous and may be fleeting.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Direct-to-consumer marketing of genetic information is already under way.

    “Direct-to-consumer marketing of genetic information is already under way.”
    Quote in the paperNot a substantial claim
90 of 90
  • The paper relies on this without support.

    Common forms of human diseases such as diabetes, heart disease, and cancer show complex inheritance in the general population.

    “common forms of human diseases—such as diabetes, heart disease, and cancer—that show complex inheritance in the general population.”
  • The paper relies on this without support.

    The human population has recently grown exponentially from a small size.

    “The human population has recently grown exponentially from a small size.”
  • The paper relies on this without support.

    Common diseases often have late onset, with modest or no obvious impact on reproductive fitness.

    “Common diseases often have late onset, with modest or no obvious impact on reproductive fitness.”
  • The paper relies on this without support.

    Common diseases show familial clustering.

    “Geneticists were eager to apply genetic mapping to common diseases, which also show familial clustering.”
  • The paper relies on this without support.

    Alleles with strong deleterious effects are constrained by natural selection from becoming too common.

    “Alleles with strong deleterious effects are constrained by natural selection from becoming too common.”
  • The paper relies on this without support.

    Most Mendelian diseases involve rare mutations that are essentially never observed in the general population.

    “Most Mendelian diseases involve rare mutations that are essentially never observed in the general population.”
  • The paper relies on this without support.

    Gene-gene and gene-environment interactions play important roles in disease risk.

    “Yet gene-gene and gene-environment interactions play important roles in disease risk.”
  • The paper relies on this without support.

    Environmental exposures play a larger role in human phenotypic variation than does genetic variation.

    “Environmental exposures play a larger role in human phenotypic variation than does genetic variation, but environmental exposures are fundamentally more difficult to measure.”
  • The paper relies on this without support.

    The human mutation rate is in the range of 10−8.

    “because the human mutation rate is so low (in the range of 10−8).”
9 of 9

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?

  • Candidate gene studies often assess genes that have broad relevance to the immune system but do not drive disease risk per se.

    “often assess genes that have broad relevance to the immune system but do not drive disease risk per se.22”

    From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [22]

    In “Genetic association in populations” (page unavailable), the paper says candidate-gene studies tested biological candidates with a low prior probability of being disease-causing, and that few reported associations were replicated. It does not say those candidates were often genes with broad immune-system relevance, or establish that the genes themselves did not affect disease risk. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Candidate gene studies are underpowered to detect risk alleles for common complex disease.

    “such studies are underpowered to detect risk alleles for common complex disease”

    From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [22]

    In “Statistical analysis” (page unavailable), the paper says four modest-sized replication studies lacked adequate power to detect a type 2 diabetes risk variant. But “Genetic association in populations” (page unavailable) describes the broader problem with candidate-gene studies as their limited choice of variants and weak statistical support; it does not say candidate-gene studies generally were underpowered to detect risk alleles for common complex disease. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Non-MHC multiple sclerosis risk alleles have modest effects on disease, with odds ratios less than 1.2.

    “These studies collectively showed that non‐MHC MS risk alleles have modest effects on disease (odds ratios < 1.2)”

    From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [22]

    The “Genome-Wide Associations: Lessons” section says common risk variants typically have modest effects. It gives a general risk-increase range of 1.1 to 1.5 per allele, however, and does not establish that non-MHC multiple sclerosis alleles specifically have odds ratios below 1.2. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • Even larger sample sizes, over 10,000 cases and controls, would be needed to identify more multiple sclerosis risk loci.

    “and that even larger sample sizes (over 10 000 cases and controls) would be needed to identify more loci.22”

    From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [22]

    In “Genome-Wide Associations: Lessons” (page unavailable), the paper says larger studies can identify additional disease-associated loci. “Expanding clinical studies” (page unavailable) likewise says increasing sample size should yield substantial returns, but it does not specify multiple sclerosis or say that over 10,000 cases and controls would be needed. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Identifying causal variants in genome-wide association study loci through fine mapping remains difficult because linkage disequilibrium means many variants show evidence of association to disease, but only one is likely to be the causal one.

    “Firstly, identifying the causal variants in GWAS loci through fine mapping remains difficult: linkage disequilibrium means that many variants will show evidence of association to disease, but only one is likely to be the causal one.”

    From Genome‐wide association studies of multiple sclerosis (2018) · cites this paper as [22]

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured

Cites

Flagged first, then by citations

Research works printed but not linked: 10

  1. D. Botstein, R. L. White, M. Skolnick, R. W. Davis, Am. J. Hum. Genet.32, 314 (1980).
  2. Online Mendelian Inheritance in Man (www.ncbi.nlm.nih.gov/sites/entrez?db=omim).
  3. R. P. Lifton, Harvey Lect.100, 71 (2004).
  4. R. A. Fisher, Trans. R. Soc. Edinburgh52, 399 (1918).
  5. R. Lewontin, in Evolutionary Biology 6, T. Dobzhansky, M. K. Hecht, W. C. Steere, Eds. (Appleton-Century-Crofts, New York, 1972), pp. 391–398.
  6. Entrez SNP (www.ncbi.nlm.nih.gov/sites/entrez?db=snp).
  7. W. C. Knowler, R. C. Williams, D. J. Pettitt, A. G. Steinberg, Am. J. Hum. Genet.43, 520 (1988).
  8. R. S. Spielman, R. E. McGinnis, W. J. Ewens, Am. J. Hum. Genet.52, 506 (1993).
  9. N. Wolfet al., J. Med. Genet.45, 114 (2008).
  10. 10.1056/NEJMoa075974 · DOI · Paper page

Cited by

Sorted by citations

Authors
Altshuler, D., Daly, M. J., & Lander, E. S.
Affiliations
Broad Institute (US)
Corresponding author
  • Altshuler, David
  • Daly, Mark J.
  • Lander, Eric S.
Venue
Science
Published
2008-11-07
Volume
322
Issue
5903
Pages
881-888
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2136078375
Cited by
1,452
References
166
Citations by year
2026: 17 · 2025: 24 · 2024: 31 · 2023: 43 · 2022: 55 · 2021: 43 · 2020: 41 · 2019: 55 · 2018: 68 · 2017: 65 · 2016: 79 · 2015: 91 · 2014: 79 · 2013: 108 · 2012: 128
FWCI
16.37
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Human Genome Research Institute (U54HG003067)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
Keywords
gene mapping, monogenic disorders, complex traits, linkage analysis, genome-wide association study, common diseases, heredity (biology), gene identification
MeSH terms
Chromosome Mapping, Cloning, Molecular, Disease, Genotype, Humans, Genetic Linkage, Mutation, Risk Factors, Selection, Genetic, Linkage Disequilibrium, Genome, Human, Quantitative Trait, Heritable, Physical Chromosome Mapping, Polymorphism, Single Nucleotide, 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.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.

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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