Abstract
Precision or personalized medicine is currently gaining a lot of attention. Clinical evidence for its effectiveness has been established based on randomized clinical trials accounting for classical risk factors, such as hypertension, diabetes, and serum lipids. However, besides such classical risk factors, the genetic background should be considered, at least for heritable traits, including atherosclerotic cardiovascular disease (ASCVD). Such classical risk factors are almost always incidents that have already occurred in which it may be too late to start treatment, instead of indicators of presymptomatic state. Human genome information is associated with most traits, including ASCVD. Two methods of implementing precision medicine for ASCVD using human genome information are currently being investigated: the use of rare genetic variations that have large effect sizes and polygenic risk scores that are composed of multiple common genetic variations. This review article emphasizes the importance of clinical as well as genetic diagnoses when implementing precision medicine. Precision medicine should be considered based on comprehensive genetic analyses, encompassing rare to common genetic variations.
Keywords: Precision medicine, Genetics, Cholesterol
Introduction
The human genome comprises approximately 3 billion DNA base pairs, including protein-coding regions and noncoding regions. The number of different patterns of DNA sequences is unlimited, making us quite diverse. Countless traits are heritable in which DNA sequences are associated with outcomes. Atherosclerotic cardiovascular disease (ASCVD) is one of the major causes of death worldwide1). It is well known that ASCVD is a heritable trait in which family history information is robustly associated with ASCVD2). Accordingly, it seems quite reasonable to investigate which particular genetic variations are associated with ASCVD development and what the mechanisms are. Familial hypercholesterolemia (FH) is a good model that can be easily understood. Typically, FH is caused by a rare loss-of-function genetic mutation, leading to a reduced number of low-density lipoprotein (LDL) receptors and a reduction in their activity, resulting in elevated serum LDL cholesterol levels3). Untreated FH is strongly associated with premature ASCVD4). A single loss-of-function genetic mutation in the LDL receptor gene is associated with ASCVD via elevation of LDL cholesterol because LDL cholesterol is one of the causal factors of ASCVD5). However, there are a substantial number of people who are at extremely high risk for inherited ASCVD that is not associated with serum lipids. Causal links between biology and ASCVD development in such inherited risk factors exist.
Aim
The following review describes conditions beginning with FH in which precision medicine for ASCVD seems to be quite effective, to other conditions in which precision medicine for ASCVD is currently being rigorously examined.
What is the Human Genome? How Useful is the Human Genome in Precision Medicine for ASCVD?
In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome6). Subsequently, an international collaborative effort worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage, which was completed in 2004 7). After the initial report of the entire human genome, millions of individuals have had their whole genomes sequenced. It is estimated that single nucleotide variations (SNVs) occur 1 in 1000 base pairs, on average, although they do not occur at a uniform density. Therefore, we are quite similar to one another: we are all, regardless of race, 99.9% identical genetically. Because of this similarity, it is sometimes quite difficult to identify the causative mutation or mutations associated with a disease. Conversely, “heritability” is a concept that describes the degree in which a certain trait can be attributed to a genetic variation.
Heritability has been estimated from so-called twin studies. We can estimate heritability by comparing a trait in monozygotic twins and dizygotic twins. Serum lipids as well as ASCVD have been shown to be highly heritable traits, with a heritability of approximately 60%8, 9) (Fig. 1). Because of this high heritability, precision medicine for serum lipids and ASCVD based on the human genome should be quite useful.
Fig. 1.

Heritable and nonheritable factors for lipid traits and coronary artery disease
Dark blue indicates the proportion explained by heritable factors. Red indicates the proportion explained by nonheritable factors. Reproduced with permission from Zdravkovic S, et al. J Intern Med, 2002; 252: 247–254, and Kathiresan S, et al. BMC Med Genet, 2007; 8: S17.
FH as the Primary Model of Precision Medicine for ASCVD
If we have a chance to see only a single patient with homozygous FH who has double loss-of-function mutations in the LDL receptor or its associated gene, it is quite easy to understand the causal relationship between LDL cholesterol and ASCVD10). Probands who have double deleterious mutations have percutaneous and tendon xanthomas associated with extremely high LDL cholesterol, almost always leading to premature cardiac death, whereas their unaffected relatives do not exhibit such complications11). Those of their relatives who have a single mutation, i.e., patients with heterozygous FH, exhibit the exact middle phenotype3). These observations in general show that a deleterious mutation in the LDL receptor is the cause of this condition. The prevalence of this condition in the general population had been considered as approximately 1 in 500 cases12). However, we found a prevalence of homozygous FH of 1 in 208 cases in the Hokuriku district of Japan in 2011 13). Following this report, other groups have found similar prevalence in the United States and Europe14, 15) (Fig. 2). Accordingly, identifying and treating FH are now considered public health problems. Additionally, there are a substantial number of studies that suggested that early intervention in patients with FH can be beneficial for ASCVD prevention16–19). For example, a recent study showed that pediatric FH patients who were treated starting at 13 years of age had quite good prognoses, despite their high achieved LDL cholesterol level (160 mg/dL)18). The present study strongly suggests that earlier intervention can eliminate the need for aggressive therapies, such as proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors. There are two major methods of detecting FH early. The first is cascade screening, which is based on finding relatives of the probands who seek medical care. In our experience, we have found several cascade-screened patients with FH through the clinical diagnosis of FH, because we need information on the family history of FH to diagnose FH accurately. There are many published reports of the clinical impact of cascade screening of FH20–23). We have found that FH patients detected by cascade screening have much better prognoses than the probands (their relatives), even under milder therapies24) (Fig. 3). These results strongly support the notion that finding FH by cascade screening is a good method of treating ASCVD through precision medicine. The second method of detecting FH early is universal screening. There are several current programs of universal screening for FH globally25–27). Theoretically, such universal screening for FH can lead to ASCVD treatment via precision medicine.
Fig. 2.

Prevalence of heterozygous familial hypercholesterolemia (FH) in Hokuriku, Japan
The prevalence of heterozygous FH in the Hokuriku area in Japan is estimated to be around 1 in 208 cases, according to the number of patients with homozygous FH in this region. Similarly, the prevalence of heterozygous FH in estimated to be around 1 in 217 cases and that in the US to be around 1 in 250 cases. Reproduced with permission from Mabuchi, et al. Atherosclerosis, 2011; 214: 404–407.
Fig. 3.

Impact of cascade screening on the prognosis of familial hypercholesterolemia (FH)
Reproduced with permission from Tada, et al. J Am Coll Cardiol, 2020; 75(11 Supplement 1): 1921.
Genetic Diagnosis of FH: Is it Necessary, and Why?
An essential question for clinicians caring for FH patients is whether genetic testing for FH is necessary or useful. Genetic testing is fundamental for the diagnosis because FH is a genetic disorder; some experts said that clinical diagnostic criteria are sufficient. However, there are several important reasons for conducting genetic testing for FH:
• Genetic testing is useful in cases in which the clinical diagnosis is unclear28). This is true for many patients because family structure is changing, leading to uncertainty regarding family history information.
• Genetic testing can differentiate between heterozygous and homozygous FH. Although the LDL cholesterol phenotypes of normal individuals, individuals heterozygous for FH, and individuals homozygous for FH show a trimodal distribution, there is a substantial overlap between heterozygous and homozygous FH3). We typically classify these cases as “severe FH”29). However, genetic testing can diagnose homozygous FH accurately so that patients homozygous for FH can be treated by special medications, including microsomal triglyceride transfer protein inhibitors30), angiopoietin-like protein 3 (ANGPTL3) inhibitor31), and LDL apheresis9). Accurate diagnosis through genetic testing should be quite important among homozygous FH because such treatments are usually expensive. Note that as of September 2020, ANGPTL3 inhibitor is not still officially approved to use for the patients of homozygous FH in Japan.
• Genetic testing can differentiate other phenocopies, such as sitosterolemia32), autosomal recessive hypercholesterolemia (ARH)33), and cerebrotendinous xanthomatosis34). Differential diagnosis of these conditions is critically important because the optimal treatment strategy is different for different diagnoses.
• Genetic testing is also useful for the detection of double heterozygotes with LDL receptor and its related genes.
• The genetic status of FH is associated with ASCVD beyond LDL cholesterol level; thus, the determination of genetic status can be used as a biomarker for ASCVD35). Based on these, genetic testing for FH is useful. Currently, several types of panel sequencing covering known FH genes have been developed, and the cost of sequencing has been gradually reduced over the years36). We are now conducting a randomized, waiting list-controlled, open-label study to see if genetic testing and disclosure of the results will lead to a better prognosis37).
• Some patients with FH have additional rare mutations associated with LDL cholesterol elevation38). We have called this condition oligogenic FH; these patients have significantly higher LDL cholesterol levels than patients with pure monogenic FH (Fig. 4).
Fig. 4.

Impact of genetic status of familial hypercholesterolemia (FH) and oligogenic FH
Compared with individuals with mutation-negative FH who are potentially affected by polygenic causes, individuals with monogenic FH have higher low-density lipoprotein (LDL) cholesterol and higher odds for coronary artery disease (CAD). Additionally, those with oligogenic FH appear to have even higher LDL cholesterol and higher odds for CAD. Reproduced with permission from Tada, et al. Curr Opin Lipidol, 2019; 30: 300–306.
Precision Medicine for FH
As already stated, FH can be diagnosed very early by cascade screening and universal screening. Accumulated evidence suggests that LDL cholesterol-lowering therapy may not need to be so intensive in patients who are diagnosed and start treatment at an early phase. In our experience, a homozygous FH patient whose LDL cholesterol level was not adequately lowered but who started treatment at 13 years of age had a better prognosis than his older brother, with nearly the same genetic and environmental background, who started his treatment at 23 years of age39). The patients' genetic status can help us to determine how and when to treat them. If a patient with FH has an ATP-binding cassette subfamily G member 5/8 (ABCG5/ABCG8) rare mutation besides an LDL receptor mutation, ezetimibe should be added to statin treatment, since there is a report that showed that dyslipidemic patients with a mutation in the ABCG5/ABCG8 gene exhibited better response when adding ezetimibe on top of atorvastatin therapy40) (Fig. 5). Imaging modalities, such as carotid ultrasound and coronary computed tomography (CT), as well as physiological function tests, such as pulse wave velocity, have been shown to be useful for further risk stratification41–43).
Fig. 5.

Personalized medicine for hyper-low-density lipoprotein (LDL) cholesterolemia according to mutation status of the ABCG5/ABCG8 gene
Vertical arrows indicate the degree of LDL cholesterol reduction when adding ezetimibe on top of atorvastatin 10 mg. Individuals who have an ABCG5 or ABCG8 genetic mutation have a better response to the addition of ezetimibe to atorvastatin treatment. Reproduced with permission from Tada, et al. Lipids Health Dis, 2020; 19: 3.
Precision Medicine for ASCVD in the General Population
As stated above, genetic testing for FH, assuming this condition is caused by a rare genetic mutation or mutations appears to lead to precision medicine for ASCVD. How about ASCVD in the general population? The risk of ASCVD is highly heritable among the general population. To determine the “hidden” biomarkers of ASCVD, a number of genetic association studies have identified many loci and common genetic variations associated with inherited elevation in the risk of ASCVD44). Although a single common genetic variation does not have enough power to be used in precision medicine, combining multiple common genetic variations into a single score has been shown to be clinically useful for this purpose, including ASCVD outcomes. The initial attempt was published in 2010, where a polygenic risk score based on 13 SNVs associated with ASCVD was moderately associated with actual ASCVD events. Although this initial score could show a significant association with the events, it did not add useful information in terms of risk discrimination45). A few years later, we showed that a polygenic risk score using 50 SNVs was significantly associated with ASCVD events, beyond family history information, and that it was as useful as other traditional risk factors for risk discrimination46). Furthermore, a polygenic risk score that comprised approximately 6.6 million SNVs appears to be much more powerful47). Interestingly, when we look at extreme phenotypes, such as early onset of myocardial infarction (< 55 years), the contribution of such polygenic high risk appears to be much higher than that of FH caused by rare mutations48). Now that we know how to pinpoint a set of individuals at high risk, we should know how to lower their risk. There are two simple established ways to do this. The first is statin therapy. It has been shown that statin therapy is much more effective in patients with polygenic high risk than in those with polygenic low risk49). The results clearly suggest that statin therapy can reduce at least a portion of the high risk for ASCVD. The second is healthy lifestyle. Another study showed that a healthy lifestyle can reduce polygenic high risk50). Thus, DNA is not destiny; it is not deterministic of this disease. We can find other ways of lowering the risk if we have more data. Furthermore, there are different lifestyles in different parts of the world. Currently, most data come from groups investigating people of European ancestry. We have to find other strategies using data from people of other ethnicities.
Phenome in Addition to Genome
Recently, so-called phenome-wide association studies (PheWAS) have become feasible based on the increased availability of phenotypic data from electronic health records. These studies can better characterize human genome–phenome relationships. Particularly, PheWAS has the advantage of identifying genetic variants with pleiotropic properties, either good or bad. Cai et al. showed that individuals with a particular SNV in the interleukin 6 receptor gene (IL6R) were at reduced risk for aortic aneurysms, besides known “on-target” effect of IL6R blockade from clinical trials (reduced risk of coronary heart disease) as well as “off-target” effect (higher hemoglobin level)51). Rao et al. showed that a PCSK9 missense variant was associated with a reduced risk of ischemic stroke and was not associated with an increased risk of diabetes52). These results appear to be compatible with findings obtained in clinical trials using PCSK9 inhibitors. Furthermore, a recent PheWAS focusing on Lipoprotein (a) [LPA] genotypes and thousands of phenotypes showed an inverse relationship between FH and elevated Lp(a)53). Lp(a) is elevated in patients with FH, the mechanism of which remains unclear. This study clearly showed that Lp(a) levels were elevated in patients with a clinical diagnosis of FH, based on a higher frequency of LPA genotypes leading to elevated LDL cholesterol, premature cardiovascular disease, and family history of cardiovascular disease, thereby increasing the likelihood of being diagnosed with FH.
Future Directions
As stated repeatedly, precision medicine for ASCVD based on human genome information is quite reasonable, and it is the way to go. We need several items and steps to pursue this goal:
• We need much more data regarding the human genome and ASCVD. The human genome, as well as environmental factors, is quite diverse across ethnicities. Thus, we need data from ethnicities globally to feel confident.
• We need more advanced genotyping technology. Although so-called next-generation sequencing has facilitated our research over the decades, it still requires several steps that consume time and effort, such as polymerase chain reaction (PCR). If we can determine DNA sequences without PCR, the time and cost of DNA sequencing will be dramatically reduced.
• We need a good educational program for the general public to accept such advanced technology. It is sometimes quite difficult to explain to people why genotyping is important. As stated above, DNA is not destiny, at least for ASCVD development. There are several simple ways to ease the risk of ASCVD. Appropriate recognition of precision medicine based on the human genome among the general population is a prerequisite for this goal.
• We need randomized, controlled trials of intervention with statins and/or healthy lifestyle based on genotype to show the benefits of precision medicine.
Conclusion
We have repeatedly emphasized that precision medicine for ASCVD based on the human genome is already feasible. However, several more steps are required for it to be accepted as a common practice.
Acknowledgements and Notice of Grant Support
This paper was presented at the 52nd Annual Scientific Meeting of the Japan Atherosclerosis Society.
Conflict of Interest Disclosures
None.
References
- 1). Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation, 2020; 141: e139-e596 [DOI] [PubMed] [Google Scholar]
- 2). Yeboah J, McClelland RL, Polonsky TS, Burke GL, Sibley CT, O'Leary D, Carr JJ, Goff DC, Greenland P, Herrington DM. Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate- risk individuals. JAMA, 2012; 308: 788-795 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3). Mabuchi H. Half a Century Tales of Familial Hypercholesterolemia (FH) in Japan. J Atheroscler Thromb, 2017; 24: 189-207 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4). Mabuchi H, Koizumi J, Shimizu M, Takeda R. Development of coronary heart disease in familial hypercholesterolemia. Circulation, 1989; 79: 225-232 [DOI] [PubMed] [Google Scholar]
- 5). Tada H, Usui S, Sakata K, Takamura M, Kawashiri MA. Low-Density Lipoprotein Cholesterol Level cannot be too Low: Considerations from Clinical Trials, Human Genetics, and Biology. J Atheroscler Thromb, 2020; 27: 489-498 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6). Lander ES, Linton LM, Birren B, Nusbaum C, Zody MC, Baldwin J, Devon K, Dewar K, Doyle M, FitzHugh W, Funke R, Gage D, Harris K, Heaford A, Howland J, Kann L, Lehoczky J, LeVine R, McEwan P, McKernan K, Meldrim J, Mesirov JP, Miranda C, Morris W, Naylor J, Raymond C, Rosetti M, Santos R, Sheridan A, Sougnez C, Stange-Thomann Y, Stojanovic N, Subramanian A, Wyman D, Rogers J, Sulston J, Ainscough R, Beck S, Bentley D, Burton J, Clee C, Carter N, Coulson A, Deadman R, Deloukas P, Dunham A, Dunham I, Durbin R, French L, Grafham D, Gregory S, Hubbard T, Humphray S, Hunt A, Jones M, Lloyd C, McMurray A, Matthews L, Mercer S, Milne S, Mullikin JC, Mungall A, Plumb R, Ross M, Shownkeen R, Sims S, Waterston RH, Wilson RK, Hillier LW, McPherson JD, Marra MA, Mardis ER, Fulton LA, Chinwalla AT, Pepin KH, Gish WR, Chissoe SL, Wendl MC, Delehaunty KD, Miner TL, Delehaunty A, Kramer JB, Cook LL, Fulton RS, Johnson DL, Minx PJ, Clifton SW, Hawkins T, Branscomb E, Predki P, Richardson P, Wenning S, Slezak T, Doggett N, Cheng JF, Olsen A, Lucas S, Elkin C, Uberbacher E, Frazier M, Gibbs RA, Muzny DM, Scherer SE, Bouck JB, Sodergren EJ, Worley KC, Rives CM, Gorrell JH, Metzker ML, Naylor SL, Kucherlapati RS, Nelson DL, Weinstock GM, Sakaki Y, Fujiyama A, Hattori M, Yada T, Toyoda A, Itoh T, Kawagoe C, Watanabe H, Totoki Y, Taylor T, Weissenbach J, Heilig R, Saurin W, Artiguenave F, Brottier P, Bruls T, Pelletier E, Robert C, Wincker P, Smith DR, Doucette-Stamm L, Rubenfield M, Weinstock K, Lee HM, Dubois J, Rosenthal A, Platzer M, Nyakatura G, Taudien S, Rump A, Yang H, Yu J, Wang J, Huang G, Gu J, Hood L, Rowen L, Madan A, Qin S, Davis RW, Federspiel NA, Abola AP, Proctor MJ, Myers RM, Schmutz J, Dickson M, Grimwood J, Cox DR, Olson MV, Kaul R, Raymond C, Shimizu N, Kawasaki K, Minoshima S, Evans GA, Athanasiou M, Schultz R, Roe BA, Chen F, Pan H, Ramser J, Lehrach H, Reinhardt R, McCombie WR, de la Bastide M, Dedhia N, Blöcker H, Hornischer K, Nordsiek G, Agarwala R, Aravind L, Bailey JA, Bateman A, Batzoglou S, Birney E, Bork P, Brown DG, Burge CB, Cerutti L, Chen HC, Church D, Clamp M, Copley RR, Doerks T, Eddy SR, Eichler EE, Furey TS, Galagan J, Gilbert JG, Harmon C, Hayashizaki Y, Haussler D, Hermjakob H, Hokamp K, Jang W, Johnson LS, Jones TA, Kasif S, Kaspryzk A, Kennedy S, Kent WJ, Kitts P, Koonin EV, Korf I, Kulp D, Lancet D, Lowe TM, McLysaght A, Mikkelsen T, Moran JV, Mulder N, Pollara VJ, Ponting CP, Schuler G, Schultz J, Slater G, Smit AF, Stupka E, Szustakowki J, Thierry-Mieg D, Thierry-Mieg J, Wagner L, Wallis J, Wheeler R, Williams A, Wolf YI, Wolfe KH, Yang SP, Yeh RF, Collins F, Guyer MS, Peterson J, Felsenfeld A, Wetterstrand KA, Patrinos A, Morgan MJ, de Jong P, Catanese JJ, Osoegawa K, Shizuya H, Choi S, Chen YJ, Szustakowki J; International Human Genome Sequencing Consortium. Initial sequencing and analysis of the human genome. Nature, 2001; 409: 860-921 [DOI] [PubMed] [Google Scholar]
- 7). International Human Genome Sequencing Consortium. Finishing the euchromatic sequence of the human genome. Nature, 2004; 431: 931-945 [DOI] [PubMed] [Google Scholar]
- 8). Kathiresan S, Manning AK, Demissie S, D'Agostino RB, Surti A, Guiducci C, Gianniny L, Burtt NP, Melander O, Orho-Melander M, Arnett DK, Peloso GM, Ordovas JM, Cupples LA. A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study. BMC Med Genet, 2007; 8: S17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9). Zdravkovic S, Wienke A, Pedersen NL, Marenberg ME, Yashin AI, De Faire U. Heritability of death from coronary heart disease: a 36-year follow-up of 20 966 Swedish twins. J Intern Med, 2002; 252: 247-254 [DOI] [PubMed] [Google Scholar]
- 10). Makino H, Koezuka R, Tamanaha T, Ogura M, Matsuki K, Hosoda K, Harada-Shiba M. Familial Hypercholesterolemia and Lipoprotein Apheresis. J Atheroscler Thromb, 2019; 26: 679-687 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11). Harada-Shiba M, Arai H, Ishigaki Y, Ishibashi S, Okamura T, Ogura M, Dobashi K, Nohara A, Bujo H, Miyauchi K, Yamashita S, Yokote K; Working Group by Japan Atherosclerosis Society for Making Guidance of Familial Hypercholesterolemia. Guidelines for Diagnosis and Treatment of Familial Hypercholesterolemia 2017. J Atheroscler Thromb, 2018; 25: 751-770 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12). Goldstein JL, Hobbs HH, Brown MS. Familial hypercholesterolemia. In: Scriver CR, Beaudet AL, Sly WS, and Valle D,eds. The metabolic and molecular bases of inherited disease, ed 8, vol 2. New York: McGraw-Hill; 2001; 2863-2913 [Google Scholar]
- 13). Mabuchi H, Nohara A, Noguchi T, Kobayashi J, Kawashiri MA, Tada H, Nakanishi C, Mori M, Yamagishi M, Inazu A, Koizumi J; Hokuriku FH Study Group. Molecular genetic epidemiology of homozygous familial hypercholesterolemia in the Hokuriku district of Japan. Atherosclerosis, 2011; 214: 404-407 [DOI] [PubMed] [Google Scholar]
- 14). Benn M, Watts GF, Tybjærg-Hansen A, Nordestgaard BG. Mutations causative of familial hypercholesterolaemia: screening of 98 098 individuals from the Copenhagen General Population Study estimated a prevalence of 1 in 217. Eur Heart J, 2016; 37: 1384-1394 [DOI] [PubMed] [Google Scholar]
- 15). de Ferranti SD, Rodday AM, Mendelson MM, Wong JB, Leslie LK, Sheldrick RC. Prevalence of Familial Hypercholesterolemia in the 1999 to 2012 United States National Health and Nutrition Examination Surveys (NHANES). Circulation, 2016; 133: 1067-1072 [DOI] [PubMed] [Google Scholar]
- 16). Harada-Shiba M, Sugisawa T, Makino H, Abe M, Tsushima M, Yoshimasa Y, Yamashita T, Miyamoto Y, Yamamoto A, Tomoike H, Yokoyama S. Impact of statin treatment on the clinical fate of heterozygous familial hypercholesterolemia. J Atheroscler Thromb, 2010; 17: 667-674 [DOI] [PubMed] [Google Scholar]
- 17). Nordestgaard BG, Chapman MJ, Humphries SE, Ginsberg HN, Masana L, Descamps OS, Wiklund O, Hegele RA, Raal FJ, Defesche JC, Wiegman A, Santos RD, Watts GF, Parhofer KG, Hovingh GK, Kovanen PT, Boileau C, Averna M, Borén J, Bruckert E, Catapano AL, Kuivenhoven JA, Pajukanta P, Ray K, Stalenhoef AF, Stroes E, Taskinen MR, Tybjærg-Hansen A; European Atherosclerosis Society Consensus Panel. Familial hypercholesterolaemia is underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease: consensus statement of the European Atherosclerosis Society. Eur Heart J, 2013; 34: 3478-90a [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18). Luirink IK, Wiegman A, Kusters DM, Hof MH, Groothoff JW, de Groot E, Kastelein JJP, Hutten BA. 20-Year Follow-up of Statins in Children with Familial Hypercholesterolemia. N Engl J Med, 2019; 381: 1547-1556 [DOI] [PubMed] [Google Scholar]
- 19). Brandts J, Ray KK. LDL-Cholesterol Lowering Strategies and Population Health - Time to Move to a Cumulative Exposure Model. Circulation, 2020; 141: 873-876 [DOI] [PubMed] [Google Scholar]
- 20). Ademi Z, Watts GF, Pang J, Sijbrands EJ, van Bockxmeer FM, O'Leary P, Geelhoed E, Liew D. Cascade screening based on genetic testing is cost-effective: evidence for the implementation of models of care for familial hypercholesterolemia. J Clin Lipidol, 2014; 8: 390-400 [DOI] [PubMed] [Google Scholar]
- 21). Galema-Boers JM, Versmissen J, Roeters van Lennep HW, Dusault-Wijkstra JE, Williams M, Roeters van Lennep JE. Cascade screening of familial hypercholesterolemia must go on. Atherosclerosis, 2015; 242: 415-417 [DOI] [PubMed] [Google Scholar]
- 22). Besseling J, Sjouke B, Kastelein JJ. Screening and treatment of familial hypercholesterolemia - Lessons from the past and opportunities for the future (based on the Anitschkow Lecture 2014). Atherosclerosis, 2015; 241: 597-606 [DOI] [PubMed] [Google Scholar]
- 23). van Maarle MC, Stouthard ME, Bonsel GJ. Quality of life in a family based genetic cascade screening programme for familial hypercholesterolaemia: a longitudinal study among participants. J Med Genet, 2003; 40: e3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24). Tada H, Okada H, Nomura A, Nohara A, Yamagishi M, Takamura M, Kawashiri MA. Prognostic Impact of Cascade Screening for Familial Hypercholesterolemia on Cardiovascular Events. J Am Coll Cardiol, 2020; 75(11 Supplement 1): 1921 [DOI] [PubMed] [Google Scholar]
- 25). Groselj U, Kovac J, Sustar U, Mlinaric M, Fras Z, Podkrajsek KT, Battelino T. Universal screening for familial hypercholesterolemia in children: The Slovenian model and literature review. Atherosclerosis, 2018; 277: 383-391 [DOI] [PubMed] [Google Scholar]
- 26). McKay AJ, Hogan H, Humphries SE, Marks D, Ray KK, Miners A. Universal screening at age 1-2 years as an adjunct to cascade testing for familial hypercholesterolaemia in the UK: A cost-utility analysis. Atherosclerosis, 2018; 275: 434-443 [DOI] [PubMed] [Google Scholar]
- 27). Bowman FL, Molster CM, Lister KJ, Bauskis AT, Garton- Smith J, Vickery AW, Watts GF, Martin AC. Identifying Perceptions and Preferences of the General Public Concerning Universal Screening of Children for Familial Hypercholesterolaemia. Public Health Genomics, 2019; 22: 25-35 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28). Tada H, Hosomichi K, Okada H, Kawashiri MA, Nohara A, Inazu A, Tomizawa S, Tajima A, Mabuchi H, Hayashi K. A de novo mutation of the LDL receptor gene as the cause of familial hypercholesterolemia identified using whole exome sequencing. Clin Chim Acta, 2016; 453: 194-196 [DOI] [PubMed] [Google Scholar]
- 29). Santos RD, Gidding SS, Hegele RA, Cuchel MA, Barter PJ, Watts GF, Baum SJ, Catapano AL, Chapman MJ, Defesche JC, Folco E, Freiberger T, Genest J, Hovingh GK, Harada-Shiba M, Humphries SE, Jackson AS, Mata P, Moriarty PM, Raal FJ, Al-Rasadi K, Ray KK, Reiner Z, Sijbrands EJ, Yamashita S; International Atherosclerosis Society Severe Familial Hypercholesterolemia Panel. Defining severe familial hypercholesterolaemia and the implications for clinical management: a consensus statement from the International Atherosclerosis Society Severe Familial Hypercholesterolemia Panel. Lancet Diabetes Endocrinol, 2016; 4: 850-861 [DOI] [PubMed] [Google Scholar]
- 30). Nohara A, Otsubo Y, Yanagi K, Yoshida M, Ikewaki K, Harada-Shiba M, Jurecka A. Safety and Efficacy of Lomitapide in Japanese Patients with Homozygous Familial Hypercholesterolemia (HoFH): Results from the AEGR-733-301 Long-Term Extension Study. J Atheroscler Thromb, 2019; 26: 368-377 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31). Gaudet D, Gipe DA, Pordy R, Ahmad Z, Cuchel M, Shah PK, Chyu KY, Sasiela WJ, Chan KC, Brisson D, Khoury E, Banerjee P, Gusarova V, Gromada J, Stahl N, Yancopoulos GD, Hovingh GK. ANGPTL3 Inhibition in Homozygous Familial Hypercholesterolemia. N Engl J Med, 2017; 377: 296-297 [DOI] [PubMed] [Google Scholar]
- 32). Tada H, Nohara A, Inazu A, et al. Sitosterolemia, Hypercholesterolemia, and Coronary Artery Disease. J Atheroscler Thromb, 2018; 25: 783-789 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33). Tada H, Kawashiri MA, Nohara A, Inazu A, Kobayashi J, Mabuchi H, Yamagishi M. Autosomal recessive hypercholesterolemia: a mild phenotype of familial hypercholesterolemia: insight from the kinetic study using stable isotope and animal studies. J Atheroscler Thromb, 2015; 22: 1-9 [DOI] [PubMed] [Google Scholar]
- 34). Tada H, Inaba S, Pozharitckaia D, Kawashiri MA. Prominent Tendon Xanthomas and Abdominal Aortic Aneurysm Associated with Cerebrotendinous Xanthomatosis Identified Using Whole Exome Sequencing. Intern Med, 2018; 57: 1119-1122 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35). Tada H, Kawashiri MA, Nohara A, Inazu A, Mabuchi H, Yamagishi M. Impact of clinical signs and genetic diagnosis of familial hypercholesterolaemia on the prevalence of coronary artery disease in patients with severe hypercholesterolaemia. Eur Heart J, 2017; 38: 1573-1579 [DOI] [PubMed] [Google Scholar]
- 36). Tada H, Kawashiri MA, Nomura A, Teramoto R, Hosomichi K, Nohara A, Inazu A, Mabuchi H, Tajima A, Yamagishi M. Oligogenic familial hypercholesterolemia, LDL cholesterol, and coronary artery disease. J Clin Lipidol, 2018; 12: 1436-1444 [DOI] [PubMed] [Google Scholar]
- 37). Nomura A, Tada H, Okada H, Nohara A, Ishikawa H, Yoshimura K, Kawashiri MA. Impact of genetic testing on low-density lipoprotein cholesterol in patients with familial hypercholesterolemia (GenTLe-FH): a randomised waiting list controlled open-label study protocol. BMJ Open, 2018; 8: e023636 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38). Tada H, Okada H, Nomura A, Yashiro S, Nohara A, Ishigaki Y, Takamura M, Kawashiri MA. Rare and Deleterious Mutations in ABCG5/ABCG8 Genes Contribute to Mimicking and Worsening of Familial Hypercholesterolemia Phenotype. Circ J, 2019; 83: 1917-1924 [DOI] [PubMed] [Google Scholar]
- 39). Tada H, Usui S, Sakata K, Takamura M, Kawashiri MA. Low-Density Lipoprotein Cholesterol Level cannot be too Low: Considerations from Clinical Trials, Human Genetics, and Biology. J Atheroscler Thromb, 2020; 27: 489-498 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40). Tada H, Okada H, Nomura A, Takamura M, Kawashiri MA. Beneficial effect of ezetimibe-atorvastatin combination therapy in patients with a mutation in ABCG5 or ABCG8 gene. Lipids Health Dis, 2020; 19: 3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41). Tada H, Kawashiri MA, Okada H, Teramoto R, Konno T, Yoshimuta T, Sakata K, Nohara A, Inazu A, Kobayashi J, Mabuchi H, Yamagishi M, Hayashi K. Assessment of coronary atherosclerosis in patients with familial hypercholesterolemia by coronary computed tomography angiography. Am J Cardiol, 2015; 115: 724-729 [DOI] [PubMed] [Google Scholar]
- 42). Tada H, Kawashiri MA, Okada H, Nakahashi T, Sakata K, Nohara A, Inazu A, Mabuchi H, Yamagishi M, Hayashi K. Assessments of Carotid Artery Plaque Burden in Patients With Familial Hypercholesterolemia. Am J Cardiol, 2017; 120: 1955-1960 [DOI] [PubMed] [Google Scholar]
- 43). Tada H, Kawashiri MA, Nohara A, Inazu A, Mabuchi H, Yamagishi M. Assessment of arterial stiffness in patients with familial hypercholesterolemia. J Clin Lipidol, 2018; 12: 397-402 [DOI] [PubMed] [Google Scholar]
- 44). Tada H, Kawashiri MA. Genetic Variations, Triglycerides, and Atherosclerotic Disease. J Atheroscler Thromb, 2019; 26: 128-131 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45). Ripatti S, Tikkanen E, Orho-Melander M, Havulinna AS, Silander K, Sharma A, Guiducci C, Perola M, Jula A, Sinisalo J, Lokki ML, Nieminen MS, Melander O, Salomaa V, Peltonen L, Kathiresan S. A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses. Lancet, 2010 Oct 23; 376(9750): 1393-1400 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46). Tada H, Melander O, Louie JZ, Catanese JJ, Rowland CM, Devlin JJ, Kathiresan S, Shiffman D. Risk prediction by genetic risk scores for coronary heart disease is independent of self-reported family history. Eur Heart J, 2016; 37: 561-567 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47). Khera AV, Chaffin M, Aragam KG, Haas ME, Roselli C, Choi SH, Natarajan P, Lander ES, Lubitz SA, Ellinor PT, Kathiresan S. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet, 2018; 50: 1219-1224 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48). Khera AV, Chaffin M, Zekavat SM, Collins RL, Roselli C, Natarajan P, Lichtman JH, D'Onofrio G, Mattera J, Dreyer R, Spertus JA, Taylor KD, Psaty BM, Rich SS, Post W, Gupta N, Gabriel S, Lander E, Ida Chen YD, Talkowski ME, Rotter JI, Krumholz HM, Kathiresan S. Whole-Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized With Early-Onset Myocardial Infarction. Circulation, 2019; 139: 1593-1602 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49). Mega JL, Stitziel NO, Smith JG, Chasman DI, Caulfield M, Devlin JJ, Nordio F, Hyde C, Cannon CP, Sacks F, Poulter N, Sever P, Ridker PM, Braunwald E, Melander O, Kathiresan S, Sabatine MS. Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials. Lancet, 2015; 385: 2264-2271 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50). Khera AV, Emdin CA, Drake I, Natarajan P, Bick AG, Cook NR, Chasman DI, Baber U, Mehran R, Rader DJ, Fuster V, Boerwinkle E, Melander O, Orho-Melander M, Ridker PM, Kathiresan S. Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease. N Engl J Med, 2016; 375: 2349-2358 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51). Cai T, Zhang Y, Ho YL, Link N, Sun J, Huang J, Cai TA, Damrauer S, Ahuja Y, Honerlaw J, Huang J, Costa L, Schubert P, Hong C, Gagnon D, Sun YV, Gaziano JM, Wilson P, Cho K, Tsao P, O'Donnell CJ, Liao KP; VA Million Veteran Program. Association of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy: A Phenome-Wide Association Study. JAMA Cardiol, 2018; 3: 849-857 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52). Rao AS, Lindholm D, Rivas MA, Knowles JW, Montgomery SB, Ingelsson E. Large-Scale Phenome-Wide Association Study of PCSK9 Variants Demonstrates Protection Against Ischemic Stroke. Circ Genom Precis Med, 2018; 11: e002162 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53). Trinder M, DeCastro ML, Azizi H, Cermakova L, Jackson LM, Frohlich J, et al. Ascertainment Bias in the Association Between Elevated Lipoprotein(a) and Familial Hypercholesterolemia. J Am Coll Cardiol, 2020; 75: 2682-2693 [DOI] [PubMed] [Google Scholar]
